https://jetplanner.plumettaz.software/

扫描 ID：: c3b14c73-5132-4516-b048-368377cee5c5已完成
提交的 URL：: https://jetplanner.plumettaz.software/
报告完成时间：: 2024年12月2日 09:40:11
链接 · 找到 1 个

从页面中识别出的传出链接
链接	文本
https://connect.plumettaz.com	Connect Platform
JavaScript 变量 · 找到 13 个

在页面窗口对象上加载的全局 JavaScript 变量是在函数外部声明的变量，可以从当前范围内的代码中的任何位置访问
名称	类型
onbeforetoggle	object
documentPictureInPicture	object
onscrollend	object
__NUXT__	object
webpackJsonp	object
installComponents	function
regeneratorRuntime	object
setImmediate	function
clearImmediate	function
onNuxtReadyCbs	object
控制台日志消息 · 找到 1 条

记录到 Web 控制台的消息
类型	类别	记录
verbose	dom	URL https://jetplanner.plumettaz.software/ 文本 [DOM] Input elements should have autocomplete attributes (suggested: "current-password"): (More info: https://goo.gl/9p2vKq) %o
HTML

页面的原始 HTML 正文
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If this COF is unknown, JetPlanner 4.0 has no cogwheel next to this parameter which you can press to generate an estimate value. Reason for this is that there is a large spread found in COF values, depending on installation technique, materials used, surface finishing and lubrication (lubricant and application), and the strong dependency of installation length on the COF. It is therefore strongly recommended to perform an installation test in a test track of which the trajectory parameters are exactly known and to \"back-calculate\" from the result the COF, using JetPlanner 4.0. If this cannot be done it is strongly recommended to perform a COF measurement, e.g. as described in Technical Report IEC\u002FTR 62470, \"Guidance on techniques for the measurement of the coefficient of friction (COF) between cables and ducts\". The easiest method is the “sloped-duct test”. For ducts with diameter from 16 mm to 50 mm this can be done with a simple test method which directly gives the COF on a scale: Plumettaz accessory 298.098-E (see picture below, left).\n\n![298.098-E Accessory](\u002Fhelp\u002Fimg\u002F298.098-E.jpg) ![Improvised test for large duct](\u002Fhelp\u002Fimg\u002Fimprovised.jpg)\n\nFor larger ducts an improvised test can be done. For this it is important that the duct sample is straight (not from a coil). A length of about 1.5 m of the duct is then hung in a hoist under an angle which can be measured with an iPhone with Bubble Level app (see picture above, right). The position is then sought at which a cable sample (about 20-50 cm long) slides down with about constant low speed after helping to start manually. The COF is then found as the tangent of the slope angle with the horizontal (can e.g. be calculated with the calculator of an iPhone, held in \"landscape\" position).\n\nTo give an idea, windows of COFs as seen in practice for cables with plastic jacket (e.g. PE or PA) in plastic ducts (e.g. PE or PVC) are given in the table below:\n\n| Microduct \u002F  Cable | No lubrication | Cable lubricator |\n|--|--|--|\n| No lubrication | 0.2-1 | 0.09-0.2 |\n| Liner or pre-lube | 0.09-0.2 | 0.07-0.14 |\n| Field lubrication | 0.08-0.16 | 0.06-0.1 |\u003C!-- class=table --\u003E\n\nIn case cables are used with flame retardant or semi-conductive additives in their jacket the COF might be 50-100% higher, especially when graphite is used.",title:"Guide for Estimate of COF"},formulas:{title:"JetPlanner 4.0 Formulas"},kml:{title:"Create and import KML Files"},manual:{title:"JetPlanner 4.0 User manual"},pdfDownload:"You can {0}",pdfLinkLabel:"download the PDF",pdfUnsupported:"This browser does not support PDF!",release:{title:"Release notes"},trajectory:{title:"More about trajectories"}},motd:{"4.4":{message:ai,text:ai,title:"Release notes — version 4.4.0"},exemple:{message:"## Exemple message\nThis is an exemple message to show how to define things in lokalise.\n- you can create lists",title:"Exemple message of the day title"}},release:[{text:"### 4.4.0\n#### New features\n- Improved the mathematical formulas to calculate the blocking position of a cable installed in a duct, considering the progressive filling of the duct by the cable.\n- Creation of a PDF report of the simulated section, including customization of the report and creation of a bill of material.\n- Improved the calculation of cable pulling in duct and on rollers:\n  - Added the notion of **stretch** to manage trajectories mixing duct sections and rollers sections. \n  - Compute an equivalent COF for the installation of cables on rollers.\n  - Added indicators and colors on the charts to easily identify pushers and stretches changes in the trajectory.\n  - Can choose between individual or grouped rollers.\n  - Added calculation of the quantity of lubricant.\n- Improved KML file import for importing the duct trajectory.\n- Added XYZ file import for importing the duct trajectory.\n- Highlight the segments of the trajectory on the trajectory charts.\n- Can add a pusher in the middle of a trajectory.\n- Added Italian language and improved translations of all the languages.\n- Added the description of the cable installation formulas in the help pages.\n- Added a warning when the radial force exceeds the limit.\n- Automatically suggest a minimum cable bending radius.\n\n#### Bug fixes\n- Fixed the inability to save presets.\n- Fixed water push force calculation with bundles.\n- Fixed results' message information for failing calculations.\n- Fixed computing performance issue for trajectories with big curves.\n- Fixed the unit displayed in radial force warning.\n- Fixed section sharing by email.\n- Fixed unit for trajectory initial heading.\n- Fixed range of the y-axis on the result chart.\n- Fixed linear weight lb\u002Fft conversion factor.\n- Corrected the way to display the elevation curve at an altitude of 0 meter.\n- Display the trajectory summary block even in case of empty trajectory.",title:"4.4.0"},{text:"### 4.5.0\n#### New features\n- Added option to display\u002Fhide the radial force on result chart (in green).\n- Added the automatic estimation of the maximum radial linear force density.\n- Added a new trajectory segment \"curve on rollers\" that force a curve on rollers even if the previous stretch is a duct. \n- Added a calculation stop when the build up force exceed 1'000'000 N.\n- Added possibility to import a trajectory from the project attachments.\n- Added a new format of import\u002Fexport of trajectories in jsonl and kmz.\n- Improved the import\u002Fexport of trajectories in csv.\n- Improved the calculation of cable installation on rollers.\n- Improved the server and calculation performance.\n- Improved the translations, typography, etc.\n- Improved the calculation of the floating methodology with a better hydraulic diameter estimation (water flow in the duct).\n- Reinforced the platform security.\n- Renamed “loop segments” by “repeat segments”.\n- Possibility to name the compressor, the water pump, the duct and the cable.\n\n\n#### Bug fixes\n- Increased the maximum size of the files attachment in projects.\n- Restored the light blue line of the force build up in curve, on result chart.\n- Fixed stuck distance calculation.\n- Corrected texts in pdf report.\n- Corrected sum of the rollers in pdf report (BOM).\n- Various fixes on calculation and section page.\n- Fixed stiffness auto calculation for micro duct.\n- Added a limitation of the pushing force on rollers with a pusher.",title:"4.5.0"},{text:"### 4.6.0\n#### New features\n - Added a toggle button to switch from Simple to Expert mode, to enable beginners to run simulations quickly and easily. Automatic value calculations have been added in Simple mode to limit parameter entry. \n - Added the ability to simulate cable laying in ducts with resident cables. \n - Added the ability to incorporate elevation data into trajectories imported with *kml* or *xyz* files, as for example with *kml* files generated by Google Earth. \n - Added automatic calculation of the linear weight of micro ducts. \n - Added a tool to modify all bends radii of a trajectory at once. \n - Grouped presets by family to make them easier to read.\n - Improved translation in English, German, French and Italian. \n\n#### Bug fixes\n - Improved management of the display of certain values, notably the number of decimal places. \n - Corrected some parameters that were not automatically saved in projects. \n - Improved the layout of *pdf* reports. ",title:"4.6.0"}],section:{bom:{comsumables:{label:"Consumables"},equipment:{atEnd:{label:"At the end of trajectory"},atStart:{label:"At the start of trajectory"},curveRollers:"{rollers} curve roller units in {curves} curves",label:aj,lubricator:"Lubricator",nothing:"— nothing —",onTrajectory:{label:"On the trajectory"}},label:"Bill of material"},cable:{bundleSettings:{label:"Bundle settings"},cableLength:{error:{greaterThan:"The cable length must be greater than 0",required:"The cable length is required"},help:"This is the length of the cable segment installed with the FreeFloating method.",label:ak},count:{bundle:{label:"Bundle diameter:"},error:{bundleLesserThanDuct:"The bundle (and resident cables) diameter must be lesser than the duct inner diameter",greaterThan:"The bundle cable count must be greater than 0",lesserThanOrEqual:"The bundle cable count must be lesser or equal to 200",required:"The bundle cable count is required"},label:"Cable count",options:{"1":"1","2":"2","3":"3"}},end:{error:{required:al},help:"This is the cap that can be installed at the cable end to ease the cable installation.",label:am,options:{open:an,shuttle:ao,sonic:ap}},industry:{error:{required:"Industry is required"},label:"Industry",options:{energy:"Energy",telecom:"Telecom"}},innerDiameter:{error:{lesserThanOuter:"The microduct inner diameter must be smaller than the microduct outer diameter",required:"The microduct inner diameter is required"},label:"Microduct Inner diameter"},label:"Cable",limit:aq,maxPullingForce:{error:{greaterThan:"The max pulling force must be greater than 0",required:"The max pulling force is required"},help:"\u003Cp\u003EThis is the maximum pulling force that can be applied on the cable without damaging its jacket.\u003C\u002Fp\u003E\n\u003Cp\u003EThis value depends on the cable interface, as cable pulling grip or pulling eye.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the cable data sheet, or use the value of the pushing force.\u003C\u002Fp\u003E",label:ar,limit:as},maxPushingForce:{error:{greaterThan:"The max pushing force must be greater than 0",required:"The max pushing force is required"},help:"\u003Cp\u003EThis is the maximum pushing force that can be applied on the cable without damaging its jacket.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the cable data sheet, or doing a \"crash test\" on the machine (available on advanced Jetting Plumett machines).\u003C\u002Fp\u003E",label:"Max cable pushing force",limit:as},maxRadialForce:{error:{greaterThan:"The max radial linear force density must be greater than 0"},help:"The maximum radial force density the cable can withstand, a warning will be issued if this value is exceeded",label:"Max radial linear force density"},microOuterDiameter:{label:at},microduct:{count:{label:"Microduct count"},maxPushingForce:{label:"Max microduct pushing force"},outerDiameter:{label:at},stiffness:{label:"Microduct stiffness"},weight:{label:"Microduct linear weight \u002F mass density"}},minBendingRadius:{error:{greaterThan:"The minimum bending radius must be greater than 0"},help:"\u003Cp\u003EThe minimum bending radius is the radius a cable can be bent without damaging it\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the cable data sheet\u003C\u002Fp\u003E",label:"Minimum bending radius"},name:{label:"Cable name"},outerDiameter:{error:{bundleLesserThanDuct:au,greaterThan:y,greaterThanInner:"The microduct outer diameter must be greater than the microduct inner diameter",lesserThanDuct:"The cable diameter must be smaller than the duct inner diameter",required:"The cable diameter is required"},help:"Outer diameter of the cable.",label:x,warning:{greaterThanMachine:av,lesserThanDuct:"The cable diameter is usually at least 10% smaller than the duct inner diameter",lesserThanMachine:av}},parallelLayout:{label:"Parallel pusher layout",options:{oneForAll:aw,oneForEach:ax}},resident1Diameter:{error:{greaterThan:y,lesserThanOrEqual:ay,required:az},label:"First resident cable diameter"},resident2Diameter:{error:{greaterThan:y,lesserThanOrEqual:ay,required:az},label:"Second resident cable diameter"},residentCount:{bunAndResDiameter:{label:"Bundle and resident cables diameter:"},error:{bundleLesserThanDuct:"The bundle and resident cables diameter must be lesser than the duct inner diameter",fillingTooHigh:aA,greaterThanOrEqual:"Can not have less that 0 resident cable",lesserThanOrEqual:"Can not have more that 2 resident cables",required:"The resident count is required"},label:"Number of resident cables",minDuctDiameter:{label:"Minimum duct diameter"}},residentSettings:{label:"Resident cables"},singleCableSettings:{label:"Single cable settings"},stiffness:{error:{greaterThan:"The cable stiffness must be greater than 0",required:"The cable stiffness is required"},help:"\u003Cp\u003EThe cable stiffness is a measure of the resistance offered by an elastic cable to flexion. \u003C\u002Fp\u003E\n\u003Cp\u003EYou can measure this value with a cable sample as describe in the Help menu, or click on the \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E function that estimates the value based on the cable type and cable diameter.\u003C\u002Fp\u003E",label:"Cable stiffness"},twisted:{error:{required:"Twisted bundle is required"},label:"Twisted bundle"},type:{error:{required:"The Cable type is required"},help:"Choose the type of cable you want to install, single or triple cable stranded.",label:"Cable type",options:{"3phased_multi":"3-phase jacketed (multi-filament)","3phased_solid":"3-phase jacketed (solid)",coax:"Coax",copper:"Copper quad",fiber:"Optical fiber",hybrid:"Hybrid",microduct:"Microduct",plastic:"Plastic optical fiber",single_multi:"Single core (multi-filament)",single_solid:"Single core (solid)",singlecore:"Single cable",triplecoretwisted:"Triple cable stranded"},undefinedIndustry:"— Please select an industry —"},weight:{error:{greaterThan:"The cable linear weight must be greater than 0"},help:"\u003Cp\u003EThis is the mass of the cable per unit length.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the cable data sheet.\u003C\u002Fp\u003E",label:"Cable linear weight \u002F mass density"}},common:{loadPreset:"Load preset",loadPresetModal:{groups:{"Kaeser compressors":"Kaeser compressors","Other compressors":"Other compressors","Rotair compressors":"Rotair compressors"},myPresets:"My presets",presets:{Unspecified:"Unspecified machine"},title:"Choose a preset"},missingFields:{placeholder:"Required field missing",tooltip:"Thoses fields are required for automatic value calculation:"},next:"Next",no:aB,previous:"Previous",savePreset:"Save preset",savePresetModal:{presetName:"Preset name",title:"Save as preset"},yes:aC},copy:{copyButton:{label:aD},loginButton:{label:"Login and copy"},modal:{copied:"Copied",copy:aD,copying:"Copying",existing:"Copy the section in a existing project:",new:"Create a new project:",projectName:"Project name",title:"Please choose a project where to copy this section"},text:"This is a read-only section shared by {owner}. You can copy it in you own workspace to edit it."},elevationChart:{axis:{distance:"Horizontal distance",elevation:"Elevation"},legend:{caption:aE,elevation:"Elevation:",horizontalDistance:"Horizontal distance:",name:j,trajectoryDistance:"Trajectory distance:",value:aF},orthonormal:"Orthonormal",title:aG},equipment:{cableEnd:{error:{required:al},help:"\u003Cp\u003EThe device that to put on the head of the cable, depending on the laying method you choose, it can be:\u003C\u002Fp\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EOpen end:\u003C\u002Fstrong\u003E nothing or just a cap\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003ESonic head:\u003C\u002Fstrong\u003E a device that pull the cable with the air or water pressure\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EShuttle:\u003C\u002Fstrong\u003E a device specially designed for water push-pull\u003C\u002Fli\u003E\u003C\u002Ful\u003E",label:am,options:{open:an,shuttle:ao,sonic:ap}},compressor:{help:"\u003Cp\u003EThis is the compressor that provides air for blowing the cable in the duct with a Jetting machine.\u003C\u002Fp\u003E\n\u003Cp\u003EThe compressor's parameters are defined in the fields bellow.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can save\u002Fload a preset to reuse a compressor.\u003C\u002Fp\u003E",label:"Compressor",limit:"the compressor",maxAirFlow:{error:{greaterThanOrEqual:"The air flow can not be lower than 0",required:"The compressor is required"},help:"\u003Cp\u003EThis is the maximum air flow that the compressor can provide.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can usually find this information in the compressor data sheet.\u003C\u002Fp\u003E",label:"Max compressor air flow"},maxAirPressure:{error:{greaterThanOrEqual:"The air pressure can not be lower than 0",required:aH},help:"\u003Cp\u003EThis is the maximum air pressure that the compressor can provide.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the compressor data sheet.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can also limit the pressure of the installation later in the Settings page.\u003C\u002Fp\u003E",label:"Max compressor air pressure",limit:"@:section.equipment.compressor.limit"},name:{label:"Compressor name"}},label:aj,lubricant:{error:{required:"Lubricant is required"},help:"An indication whether lubricant will be used",label:"Lubricant",options:{lubricator:"Yes, with lubricator",no:aB,yes:aC}},na:G,parallelLayout:{label:"Parallel layout (for bundle)",options:{oneForAll:aw,oneForEach:ax}},pullingMachine:{error:{required:"A winch is required with this laying method, you also can choose the 'No winch' option"},help:"\u003Cp\u003EThis is the machine placed at the end of the trajectory to pull the cable through the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can choose the machine in the list.\u003C\u002Fp\u003E",label:"Pulling machine",limit:"the pulling machine",maxPullingForce:{label:ar,limit:aI},maxPullingSpeed:{label:"Max pulling speed",limit:aI}},pushingMachine:{cableDiameter:{label:x},ductDiameter:{label:ac},error:{required:"A pushing machine is required with this laying method"},help:"\u003Cp\u003EThis is the machine used at the \u003Cb\u003Ebeginning of the trajectory\u003C\u002Fb\u003E to push the cable and blow air or water in the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EFor push and push\u002Fpull methods, additional machines can be defined on the trajectory page\u003C\u002Fp\u003E\n\u003Cp\u003EYou can choose the machine in the list.\u003C\u002Fp\u003E",label:aJ,limit:"the pushing machine",maxAirPressure:{label:"Max air pressure",limit:k},maxPushingForce:{label:aK,limit:k},maxPushingSpeed:{label:"Max pushing speed",limit:k},maxWaterPressure:{label:aL,limit:k}},resultingPushingForce:"Resulting max pushing force: {value}",serieCount:{error:{greaterThan:"The number of machine in series must be greater than 0",integer:"The number of machine in series must be an integer",required:"The number of machine in series is required"},label:"Number of machine in series"},waterPump:{help:"\u003Cp\u003EThis is the pump that provides water used floating the cable in the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EThe pump's characteristics are defined in the fields bellow.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can save\u002Fload a preset to reuse a water pump.\u003C\u002Fp\u003E",label:"Water pump",limit:"the water pump",maxWaterFlow:{error:{greaterThanOrEqual:"The water flow can not be lower than 0",required:"The water flow is required"},help:"\u003Cp\u003EThis is the maximum water flow that the pump can provide.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the water pump data sheet.\u003C\u002Fp\u003E",label:"Max water flow"},maxWaterPressure:{error:{greaterThanOrEqual:"The water pressure can not be lower than 0",required:aM},help:"\u003Cp\u003EThis is the maximum water pressure that the pump can provide.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the pump data sheet.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can also limit the pressure of the installation later in the Settings page.\u003C\u002Fp\u003E",label:aL,limit:"@:section.equipment.waterPump.limit"},name:{label:"Water pump name"}}},error:{otherUser:{text:"If this user sent you this link, ask him to share the section and send you a sharing link.",title:"This section belongs to another user"}},general:{inDevelopment:"Please note that this function is still in development, use the results with caution",label:"General \u002F Method",layingMethod:{error:{required:"The laying method is required"},help:"Method used to lay the cable. Depending on your licence, you can choose between the following methods:\n - **Push** - Choose this method when you are pushing a cable in a duct with a pusher machine.\n - **Pull** - This method use a winch to pull a cable through a duct.\n - **Push pull** - This method is a combination of pushing and pulling methods. You mainly pull the cable with a winch at the end of the trajectory, and help the laying operation by pushing the cable at the entrance. This solution allows the cable to be installed on longer distances.\n - **Jetting** - This is the modern way to install cable in duct. This method invented by Plumettaz S.A. combines pushing and air blowing in the duct. This reduces constraints on the cable and achieves longer distances.\n - **Floating** - This method is similar to the jetting method, but uses water instead of air.\n - **Water push pull** - This is a method used to lay high energy cables. It uses water and a patented Pig\u002Fshuttle to drive the installation. Cable up to 16 cm in diameter can be installed on over 1 km.\n - **Free floating** - This method uses water to transport the cable though a duct using a rear pig.",label:"Laying method",options:{floating:"Floating",freefloating:"Free floating",jetting:"Jetting",pull:"Pull",push:"Push",pushpull:"Push pull",waterpushpull:"Water push pull"}},project:{label:s},section:{label:aN},sectionDescription:{help:"You can add here a description of the section.",label:"Section description (optional)",reportLabel:"Section description"},sectionName:{help:"Short title of the section to allow you to find it quickly in the project.",label:"Section name",placeholder:"Unnamed section",warning:{required:"It is recommended to set a name for the section"}},sectionType:{error:{required:"The section type is required"},label:"Section type",options:{inDuct:"In a duct",onRollers:"On rollers"}}},groups:{disabledReportGroup:{label:"Please make a {0} before accessing the report",simulation:"simulation"},disabledTip:{label:"Please choose a {0} before going further",layingMethod:"laying method"},favorites:aO,simulationNotReady:{label:"The simulation can not be calculated right now. Please fill the empty fields."}},header:{customer:f,date:g,description:v,location:h,project:s,section:aN},messages:{E_CABLE_BIGGER_DUCT:{message:"the cable diameter is bigger that the duct inner diameter.",title:"Invalid parameter"},E_EXCESSIVE_FORCE:{message:"Stop before the end due to excessive force",title:aP},E_MISSING_OR_INVALID_PARAMS:{message:"A parameter is missing or invalid",title:"Missing or invalid parameter"},E_NEGATIVE_LENGTH:{message:"The trajectory length, after taking in account the start and end point, is negative",title:"Negative trajectory length"},E_STOP_BEFORE_END:{message:b,title:aP},E_TOO_HIGH_BACK_PRESSURE:{message:aQ,title:aQ},I_ESTIMATED_AIR_FLOW:{message:"The estimated air flow through the duct is {flow}.",title:"Estimated air flow"},I_ESTIMATED_MAX_PUSH_FORCE:{message:"The machine max pushing force is estimated to {force}.",title:"Estimated max pushing force"},I_ESTIMATED_STIFFNESS:{message:"The cable stiffness is estimated to {stiffness}.",title:"Estimated cable stiffness"},I_LUBRICANT_NEEDED:{message:"Based on the laying method and parameters, the installation will require approximately {quantity} of lubricant.",title:"Estimated lubricant needed"},I_SIMPLE_MODE:{message:"Please note that this section was simulated in simple mode",title:"Section in simple mode"},SUCCESS:{message:"You reach the end of the trajectory.",title:"Calculation successful"},W_BACKWARD_CALC:{message:"Please note that the calculation was made from the end of the trajectory to the start.",title:"Backward calculation"},W_CABLE_RADIAL_FORCE:{message:"The cable max radial linear force density is exceeded at {distance} with {force} of radial linear force density",title:aR},W_CABLE_RESISTANCE:{message:"Risk of cable breaking. Please reduce the defined winch pulling force.",title:aR},W_DUCT_PRESSURE:{message:"duct allowed maximum pressure exceeded at the lowest part of the trajectory.",title:"Duct pressure warning"},W_FIRST_ROW_CURVE:{message:"The first segment of this trajectory is a curve. A 0° slope is assumed for this calculation. You can change that by adding a small straight segment at the beginning.",title:"First segment is a curve"},W_LAST_ROW_CURVE:{message:"The last segment of this trajectory is a curve. A 0° slope is assumed for this calculation. You can change that by adding a small straight segment at the end.",title:"Last segment is a curve"},W_LOW_COMPRESSOR_FLOW:{message:"Your compressor is not powerful enough to provide the requested pressure and air flow. The simulation was made at {pressure}.",title:"Not enough air flow"},W_LOW_PUMP_FLOW:{message:"Your pump is not powerful enough to satisfy the water consumption of this trajectory.",title:"Not enough pump flow"},W_PUMP_PRESSURE:{message:"Your pump give not enough pressure to push the water to the highest point of this trajectory.",title:"Pump pressure warning"},W_PUMP_WEAK:{message:"Not enough pump pressure. Please reduce the installation pressure.",title:"Pump not strong enough"},W_PUSHER_FORCE_REDUCE:{message:"Pusher force reduced to {force} to avoid pushing on rollers",title:"Pusher force reduced"},W_PUSH_TO_HIGH:{message:"Please note that the machines used are not in our catalog. Use the results with caution.",title:"Machine not in our catalog"},W_TWO_CURVES:{message:"There is 2 curves in a row (between segment {row} and {nextRow}). For the calculation a small straight segment with a slope of 0° is inserted. To have more control, you can add a very small straight segment in between.",title:"2 curves in a row"}},modeSwitch:{expert:{label:"expert"},label:"Display mode",simple:{label:"simple"}},report:{chapo:"Generated by {fullname} on {date}",charts:{label:"Charts",profile:{title:aG},results:{title:aS},topView:{title:aT}},error:{visited:"Report visited"},label:"Report",noResults:"This section was not calculated",options:{label:"Report options",resultsOnTop:{label:"Put results at the beginning"},showBom:{label:"Show Bill of material"},showProject:{label:"Show project information"}},subtitle:"simulation report",title:"JetPlanner 4.0"},resultsChart:{axis:{distance:"Distance",force:"Force",forceDensity:"Force density"},legend:{caption:aE,distance:"Distance:",force:"Axial force:",limit:"Cable end force:",name:j,radialForce:"Radial linear force density:",value:aF},title:"Results chart"},rollers:{label:aU},save:{cancel:"Cancel, stay here",error:e,errorToast:"An error occurred when saving the section",errorToastAction:i,ignore:"Ignore changes",message:"You are about to leave a section which have unsaved modifications.\nWhat do you want to do?",pending:"Saving section...",ready:"Save section",success:"Section saved",successToast:"The section is successfully saved on the server",title:"Unsaved section"},settings:{airPressure:{error:{greaterThanOrEqual:"The air pressure must be greater or equal to 0",required:aH},help:"\u003Cp\u003EYou can limit here the pressure of the air used to blow the cable in the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EThe \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E button will apply automatically the first edited parameter that limit the air pressure.\u003C\u002Fp\u003E",label:"Air pressure",warning:{lesserThanOrEqual:"Please note that the air pressure is higher than the compressor capability or duct resistance"}},calculateBackward:{error:{required:"Calculate backward is required"},help:"\u003Cp\u003EThe simulation is reversed from the end of the trajectory to the beginning.\u003C\u002Fp\u003E\n\u003Cp\u003EThis sometimes allows to increase the cable laying distance depending on the configuration of the trajectory.\u003C\u002Fp\u003E",label:"Calculate backward"},label:"Settings",layingSpeed:{error:{greaterThanOrEqual:"The laying speed must be greater or equal to 0",required:"The laying speed is required"},help:"\u003Cp\u003EYou can limit here the speed of the simulation.\u003C\u002Fp\u003E\n\u003Cp\u003EThe \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E button will apply automatically the first edited parameter that limit the speed.\u003C\u002Fp\u003E",label:"Laying speed",warning:{lesserThanOrEqual:"Please note that the selected machine can not reach this speed"}},limitedBy:"Limited by {mac} @ {value}",lostForce:{error:{greaterThanOrEqual:"The lost force must be greater or equal to 0"},help:"You can edit here a force that could be lost before the beginning of the trajectory, such as the force required to move the cable drum.",label:"Force loss at cable entry"},maxDistance:{error:{required:"Calculate max distance is required"},help:"For the jetting method, this setting allow to find the maximum distance that the cable can reach if the trajectory is trimmed.",label:"Calculate max distance"},notYetLimited:b,pullingForce:{error:{greaterThanOrEqual:"The pulling force must be greater or equal to 0",required:"The pulling force is required"},help:"\u003Cp\u003EYou can limit here the pulling force of the simulation.\u003C\u002Fp\u003E\n\u003Cp\u003EThe \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E button will apply automatically the first edited parameter that limit the pulling force.\u003C\u002Fp\u003E",label:"Pulling force",warning:{lesserThanOrEqual:"Please note that the pulling force is greater than the limit of the machine or the cable"}},pushingForce:{error:{greaterThanOrEqual:"The pushing force must be greater or equal to 0",required:aV},help:"\u003Cp\u003EYou can limit here the pushing force of the simulation.\u003C\u002Fp\u003E\n\u003Cp\u003EThe \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E button will apply automatically the first edited parameter that limit the pushing force.\u003C\u002Fp\u003E",label:aW,limitPerMachine:"Each pushing machine limited to {value}",totalForce:{allCables:"all cables",eachCable:"each cable",label:"{machineCount} pushing {cable} for a total force of {value}",machineCount:"1 machine is | {count} machines are",oneCable:aq},warning:{lesserThanOrEqual:"Please note that the pushing force is greater than the limit of the machine or the cable"}},showRadialForce:{error:{required:"Show radial linear force density is required"},label:"Show radial linear force density"},simulationConstraints:{label:"Simulation constraints"},simulationParameters:{label:"Trajectory adjustment"},waterDensity:{error:{greaterThanOrEqual:"The water density must be greater or equal to 0",required:"The water density is required"},help:"\u003Cp\u003EYou can edit here the density of the water.\u003C\u002Fp\u003E\n\u003Cp\u003EA density of 1 can be used for non-salty water, and can be measured in case of salty water.\u003C\u002Fp\u003E",label:"Water density",secondaryHelp:"Set as non-salty water"},waterPressure:{error:{greaterThanOrEqual:"The water pressure must be greater or equal to 0",required:aM},help:"\u003Cp\u003EYou can limit here the pressure of the water used to install the cable in the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EThe \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E button will apply automatically the first edited parameter that limit the water pressure.\u003C\u002Fp\u003E",label:"Water pressure",warning:{lesserThanOrEqual:"Please note that the water pressure is higher than the pushing machine, the pump capability or the duct resistance"}},xRearPig:{error:{greaterThanOrEqual:"The rear pig location must be greater or equal to 0",required:"The rear pig location is required"},help:"This setting is used for the free-floating method to move the cable through the duct.",label:"Rear pig"},xend:{error:{greaterThanOrEqual:"Trim end must be greater or equal to 0",lesserThanLength:"The sum of the start point and end point must be smaller than the trajectory length.\nPlease double check that the end point is mesured from the end of the trajectory",required:"Trim end is required"},help:"You can trim a bit of the trajectory at the end in order to analyze the result of the simulation with a shorter trajectory.",label:aX,note:"Please note that the distance is measured from the end of the trajectory",warning:{lesserThanLength:"The sum of the start point and end point cover more than 90% of the trajectory.\nPlease double check that the end point is measured from the end of the trajectory."}},xlaunch:{error:{greaterThanOrEqual:"The start point must be greater or equal to 0",lesserThanLength:"The sum of the start point and end point must be smaller than the trajectory length",required:"Trim beginning is required"},help:"You can trim a bit of the trajectory at the beginning in order to analyze the result of the simulation with a shorter trajectory.",label:"Trim beginning"}},share:{button:{disableTooltip:"Please, save your project before sharing it.",label:"Share section"},modal:{copyButton:{copiedTooltip:"Copied!",label:"Copy to clipboard"},emails:{helper:"You can fill in multiple addresses, separated by commas",placeholder:"Enter email adresses",title:"Or directly send the link by email"},shareButton:{label:"Send emails",pending:"Sending emails...",success:"Emails sent"},shareLinkButton:{label:"Get a shareable link"},title:"Share this section"}},simulation:{favorites:{empty:"You haven't selected any favorites, you can press on the star of any field to display it here.",title:aO},label:"Simulation",messages:{title:"Messages"},results:{duration:{text:"Installation duration"},error:{failed:"Simulation failed"},forceAtEnd:{text:"Force at end of the trajectory"},info:{notDone:"Simulation not done yet"},maxDistance:{action:aX,inProgress:"Iteration in progress, it can last up to 1 minute",rational:"(If the duct is open at this location)",text:"Maximum installation distance"},stuckDistance:{text:"Cable will be stuck at"},summary:{failed:"The cable can not be laid along the entire trajectory and will be stuck before reaching the end.",notStarted:"Errors prevent the calculation of a solution.",success:"The cable can be laid along the entire trajectory."},title:aS,totalDistance:{text:"Simulated distance"},trimedDistance:{text:"Trimmed distance"},warning:{message:"Simulation has a warning message"},waterFlow:{duct:{help:"The water needed to fill the duct is equal to the volume of the duct subtracted by the volume of the cable",text:"To fill the duct"},head:{help:"The head leakage is the water that flows backwards through the interstitial space between the 3 cables in triangular close stack where the cable enters the pressure chamber",text:"Head leakage"},pig:{help:"The pig leakage is the water that flows through the lubrification holes of the pig",text:"Pig leakage"},text:"Water flow needed"},waterQuantity:{text:"Minimum water quantity needed"}},resultsChart:{noResults:"No calculation made, nothing to display"}},stretches:{add:{label:"Add stretch"},delete:{label:w},duct:{label:aY,limit:"the duct"},label:"Stretches",rows:{cof:{error:{greaterThan:"The coefficient of friction must be greater than 0",required:"The coefficient of friction is required"},help:"\u003Cp\u003EThe coefficient of friction is a dimensionless value which equals the ratio between the force needed to move the cable and the contact force with the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EThis value can vary between 0.1 and 0.7 in normal conditions, can be lower in case of lubricant, or bigger in some specific cases.\u003C\u002Fp\u003E\n\u003Cp\u003EThe coefficient of friction can be measured on duct and cable samples as describe in the Help menu.\u003C\u002Fp\u003E",label:"Coefficient of friction"},fillRatio:{area:{label:"Area:"},diameter:{label:"Diameter:"},help:"This is the fill ratio of the cable\u002Fbundle in this stretch of duct. The diameter ratio is based on the estimated bundle diameter and the area ratio is based on the cross surface of the individual cables",label:"Fill ratio"},innerDiameter:{error:{bundleLesserThanDuct:au,fillingTooHigh:aA,greaterThan:"The duct internal diameter must be greater than 0",greaterThanCable:"The duct internal diameter must be greater than the cable diameter",lesserThanOuterDiameter:"The duct internal diameter must be less than the duct outer diameter",required:"The duct internal diameter is required"},help:"Internal diameter of the duct.",label:"Internal duct diameter",warning:{greaterThanCable:"The duct inner diameter is usually at least 10% bigger than the cable diameter",verySmall:"Your duct looks very small"}},innerSurface:{error:{required:"The duct internal surface is required"},help:"\u003Cp\u003EThis is the internal surface of the duct.\u003C\u002Fp\u003E\n\u003Cp\u003ESome surfaces can influence the air\u002Fwater flow and consequently the cable installation.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the duct data sheet.\u003C\u002Fp\u003E",label:"Duct internal surface",options:{corrugated:"Corrugated",riped:"Ribbed",smooth:"Smooth"}},maxPressure:{error:{greaterThan:"The duct max supported pressure must be greater than 0",required:"The duct max supported pressure is required"},help:"\u003Cp\u003EMaximum pressure supported by the duct.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can find this information in the duct data sheet.\u003C\u002Fp\u003E",label:"Max duct pressure",limit:"@:section.stretches.duct.limit"},outerDiameter:{error:{greaterThanInnerDiameter:"The duct outer diameter must be greater than the duct inner diameter",required:"The duct outer diameter is required"},help:"Outer diameter of the duct.",label:"Outer duct diameter",warning:{greaterThanMachine:aZ,lesserThanMachine:aZ}},prefilled:{error:{required:"Pre-filled with water is required"},help:"Select \"Yes\" when the duct is already filled with water.",label:"Pre-filled with water"},rollerDistance:{cof:{help:"To be able to calculate the equivalent coefficient of friction, cable parameters **Cable diameter**, **Cable linear weight** and **Cable stiffness** are needed.",label:"equivalent coefficient of friction: {value} {help}"},error:{greaterThan:"The distance between rollers must be greater than 0",required:"The distance between rollers is required"},help:"The space between each roller. This value is only for the straight segments. A fixed distance is used in the curves",label:"Distance between rollers",note:"Please note that this value is only used in straight segments, in curves à 0.089 COF is taken in the exponent."},stretchName:{help:"Optional, name of the duct, help you find it on the trajectory",label:"Stretch name"},title:l,type:{error:{includes:"The type must be 'duct' or 'rollers'",required:a_},label:"Stretch type",options:{inDuct:aY,onRollers:aU,undefined:"Undefined"}},undulationAmplitude:{error:{greaterThanOrEqual:"The undulation amplitude must be greater or equal to 0",required:"The undulation amplitude is required"},help:"The undulation amplitude of the duct refers to the undulations of the duct. The winding amplitude can be taken as half the trench width (eventually as the inside radius) of the main duct, subtracted by the outer radius of the duct. If the duct is entirely straight, the undulation amplitude will be zero.",label:"Duct undulation amplitude"},undulationPeriod:{error:{greaterThan:"The undulation period must be greater than 0",required:"The undulation period is required"},help:"\u003Cp\u003EThis is the undulation period of the duct layed in the trench.\u003C\u002Fp\u003E\n\u003Cp\u003EYou can measure the real average undulation period of the duct in the trench, or click on the \u003Cspan class=\"automatic\"\u003EAutomatic\u003C\u002Fspan\u003E function that estimates the value at 200 time the outer duct diameter.\u003C\u002Fp\u003E",label:"Duct undulation period"}}},topViewChart:{grid:Z,title:aT},trajectory:{addRow:"Add segment",altitudeAtStart:{error:{required:"Altitude at start is required"},help:"\u003Cp\u003EThis is the geographical altitude of the beginning of the trajectory.\u003C\u002Fp\u003E\n\u003Cp\u003EThis value is only indicative and does not influence the installation of the cable.\u003C\u002Fp\u003E",label:"Altitude at start"},curve:z,defaultModal:{radius:{secondaryHelp:"Set the radius to the cable minimum bending radius"},title:a$},defaultValues:a$,deleteRow:"Delete this segment",doubleCurveFix:ba,doubleFix:{curve:ba,straight:bb},doubleStraightFix:bb,editRow:"Edit segment",editRowModal:{createRow:"Create segment",nextRow:"Next segment",previousRow:"Previous segment",title:"Edit segment {0}"},endSegmentFix:"The trajectory should end with a straight segment. For this calculation, a small straight segment with a slope of 0° is assumed.",export:{asCsvFile:{title:"As CSV file"},asJsonlFile:{title:"As Json-lines file"},asPreset:{title:"As preset..."},button:{title:"Save trajectory"}},fixIt:"Fix it",import:{button:{title:"Open trajectory"},fromFile:{title:"From file..."},fromPreset:{title:"From preset..."},fromProject:{title:"From project..."},kmlModal:{adjustmentMode:{help:"\u003Cp\u003EA KML file only contain straight segments. We must adjust the trajectory to incorporate the curves. There is 3 ways we can do that:\u003C\u002Fp\u003E\u003Cul class='p-3'\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve segments length:\u003C\u002Fstrong\u003E Each straight segment length will be preserved, the geometry of the trajectory will be altered and the total length will be greater\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve geometry:\u003C\u002Fstrong\u003E The geometry (location of straight segment) will be preserved, the length of each segment will be alterd to accomodate curve segment\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve total length:\u003C\u002Fstrong\u003E The total length of the trajectory will be preserved, the length of each straigth segment will be shorter and the geometry will be altered\u003C\u002Fli\u003E\u003C\u002Ful\u003E",label:m,options:{geometry:n,segmentLength:o,totalLength:p}},bendingRadius:{help:"\u003Cp\u003EThis is the radius of the curves that will be inserted between straight segments found in the KML file.\u003C\u002Fp\u003E\u003Cp\u003EPlease note that the trajectory length may vary depending on the radius and adjustment mode.\u003C\u002Fp\u003E",label:bc},elevationSource:{error:{required:"The elevation source is required"},label:"Elevation source",options:{fromFile:"From imported file",google:"From google elevation API",jetplanner:"From JetPlanner local database"}},error:{negativeLength:"After adjustment, some segments have a negative length. You can either reduce the default bending radius, choose an other adjustment mode or force the import. If you force the import, some curves will have a radius of 0 and you will have to adjust them manually on the trajectory page."},foundText:{help:"The following list shows all the data-points found in the file that can be imported as a trajectory. To help you choose the correct one, the name is displayed as well as the initial length, the number of segments and the altitude at the start of the trajectory. If the altitude is \"n\u002Fa\" that mean that there is no altitude data attached with the coordinates, a flat trajectory will be imported.",label:"No trajectory found | One trajectory was found: | {count} trajectories were found, please choose one:"},importButton:{title:A},saveFile:{help:"The KML file will be automatically added to the project's files",label:bd},simplification:{label:be},title:"Import KML file"},noTrajectoryModal:{message:"No trajectory was found in this file.",title:"No trajectory was found"},projectModal:{importButton:{title:A},title:"Select a file from project attachements..."},xyzModal:{adjustmentMode:{help:"\u003Cp\u003EA XYZ file only contain straight segments. We must adjust the trajectory to incorporate the curves. There are 3 ways we can do that:\u003C\u002Fp\u003E\u003Cul class='p-3'\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve segments length:\u003C\u002Fstrong\u003E Each straight segment length will be preserved, the geometry of the trajectory will be altered and the total length will be greater\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve geometry:\u003C\u002Fstrong\u003E The geometry (location of straight segment) will be preserved, the length of each segment will be altered to accommodate curve segment\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve total length:\u003C\u002Fstrong\u003E The total length of the trajectory will be preserved, the length of each straight segment will be shorter and the geometry will be altered\u003C\u002Fli\u003E\u003C\u002Ful\u003E",label:m,options:{geometry:n,segmentLength:o,totalLength:p}},bendingRadius:{help:"\u003Cp\u003EThis is the radius of the curves that will be inserted between straight segments found in the XYZ file.\u003C\u002Fp\u003E\u003Cp\u003EPlease note that the trajectory length may vary depending on the radius and adjustment mode.\u003C\u002Fp\u003E",label:bc},error:{negativeLength:"After adjustment, some segments have a negative length. You can either reduce the default bending radius, choose another adjustment mode or force the import. If you force the import, some curves will have a radius of 0 and you will have to adjust them manually on the trajectory page."},importButton:{title:A},saveFile:{help:"The XYZ file will be automatically added to the project's files",label:bd},simplification:{label:be},title:"Import XYZ file"}},initialHeading:{error:{required:"The initial heading is required"},help:"\u003Cp\u003EThis is the initial direction\u002Fangle of the first segment of the trajectory.\u003C\u002Fp\u003E\n\u003Cp\u003EThis value is only indicative and does not influence the installation of the cable.\u003C\u002Fp\u003E",label:"Initial heading",warning:{greaterThanOrEqual:"The initial heading should be greater of equal to -180°",lesserThan:"The initial heading should be lower than 180°"}},insertRow:"Insert a new segment",label:"Trajectory",noRow:"There is no segment on this trajectory, press the 'Add segment' button bellow to add your first segment.",noTrajectory:"No trajectory",removeLastRow:"Remove the last segment",rows:{adjustmentMode:{help:"There are 3 ways we can adjust the trajectory to reflect the change of radius:\n - **Preserve segments length:** Each straight segment length will be preserved, the geometry of the trajectory will be altered and the total length will be greater\n - **Preserve geometry:** The geometry (location of straight segment) will be preserved, the length of each segment will be altered to accommodate curve segment\n  - **Preserve total length:** The total length of the trajectory will be preserved, the length of each straight segment will be shorter and the geometry will be altered",label:m,no180:"adjustment is not available for curve greater than 180°",noFirstLast:"adjustment is not available for the first or last segment",options:{geometry:n,segmentLength:o,totalLength:p},straightNeeded:"Previous and next segments need to be straight to use adjustment mode"},allLoopsLength:{label:"Total repeated length"},altAtEnd:{help:"This is the calculated value of the altitude at the end of a segment.",label:"Altitude at end"},angle:{error:{required:"The horizontal angle is required"},help:"You can edit here the horizontal angle of a curve segment.",label:"Horizontal angle"},cumulativeLength:{help:"This is the calculated value of the accumulated length of the trajectory.",label:"Cumulative length"},curve:{alt:"An illustration of a curve segment",label:z},curveOnRollers:{alt:"An illustration of a curve on rollers segment",label:bf},dupSegments:{error:{greaterThan:"Segment count must be greater than 0",lesserThanPreviousRows:"Not enough segment before this repeat",noLoopBefore:"A repeat segment can not contain other repeat segments",required:"The segment count is required"},label:"Segments"},error:{greaterThan:"At least one segment is required"},help:"\u003Cp\u003EA segment is a uniform element of the trajectory that can be straight or curved.\u003C\u002Fp\u003E\n\u003Cp\u003EA trajectory corresponds to the sum of sequential segments.\u003C\u002Fp\u003E",length:{error:{greaterThanOrEqual:"The length must be greater or equal to 0",required:"The length is required"},help:"You can edit here the length of a straight segment.",label:ak,warning:{lesserThanOrEqual:"The length looks very long, please double check this value"}},loop:{alt:"An illustration of a repeat segment",label:bg},loopCount:{error:{greaterThan:"The repeat count must be greater than 0",required:"The repeat count is required"},label:"Repeat count"},maxPushingForce:{label:aK},pushForce:{error:{greaterThanOrEqual:"The pushing force must be greater than 0",required:aV},label:aW,warning:{lesserThanOrEqualMaxPushingForce:"The pushing force should be lesser or equal to the machine max pushing force"}},pusher:{alt:"An illustration of a pusher segment",label:bh},pushingMachine:{error:{required:"A pushing machine is required"},label:aJ},radius:{autoNotForSegmentLength:"Automatic value not available for \"Segment length\" adjustement mode",error:{greaterThan:"The bending radius must be greater than 0",required:"The bending radius is required"},help:"You can edit here the bending radius of a curve segment.",label:"Bending radius",warning:{greaterThanMinBendingRadius:"The bending radius should be greater than the cable minimum bending radius"}},singleLoopLength:{label:"Single repeated length"},slope:{error:{greaterThanOrEqual:"The slope must be greater or equal to -90°",lesserThanOrEqual:"The slope must be smaller or equal to 90°",required:"The slope is required"},help:"You can edit here the positive or negative value of the slope of a straight segment.",label:"Slope"},straight:{alt:"An illustration of a straight segment",label:B},stretch:{alt:"An illustration of a stretch segment",label:l},stretchName:{label:l},totalAngle:{help:"This is the total 3D angle of a curve segment, taking into account the horizontal angle of the curve and the slopes of the previous and next straight segments.",label:"Total angle"},type:{error:{includes:"The type must be 'curve' or 'straight'",required:a_,unknown:"Unknown segment type, please choose an other type"},help:"\u003Cp\u003EYou can add a \"Straight\" segment or a \"Curve\" segment between two straight segments.\u003C\u002Fp\u003E\n\u003Cp\u003EWith some cable laying methods, you can also add here a pusher in the trajectory to ease the installation.\u003C\u002Fp\u003E",label:"Type",options:{curve:z,curveOnRollers:bf,loop:bg,pusher:bh,straight:B,stretch:l}},warning:{endsWithStraight:"The trajectory should end with a straight segment",startsWithStraight:"The trajectory should start with a straight segment",twoSameRows:"Two segments with the same type are not supported"}},startSegmentFix:"The trajectory should begin with a straight segment. For this calculation, a small straight segment with a slope of 0° is assumed.",straight:B,summary:{errors:"Warnings and errors",goto:"View segment",noError:"No error on this trajectory",segmentCount:"Number of segments",smallestRadius:"Smallest bending radius",title:"Summary",totalLength:"Total trajectory length"},tools:{adjustAllCurves:{adjustmentMode:{error:{required:"The adjustment mode is required"},help:"\u003Cp\u003EA KML file only contain straight segments. We must adjust the trajectory to incorporate the curves. There is 3 ways we can do that:\u003C\u002Fp\u003E\u003Cul class='p-3'\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve segments length:\u003C\u002Fstrong\u003E Each straight segment length will be preserved, the geometry of the trajectory will be altered and the total length will be greater\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve geometry:\u003C\u002Fstrong\u003E The geometry (location of straight segment) will be preserved, the length of each segment will be altered to accommodate curve segment\u003C\u002Fli\u003E\u003Cli\u003E\u003Cstrong\u003EPreserve total length:\u003C\u002Fstrong\u003E The total length of the trajectory will be preserved, the length of each straight segment will be shorter and the geometry will be altered\u003C\u002Fli\u003E\u003C\u002Ful\u003E",label:m,options:{geometry:n,segmentLength:o,totalLength:p}},apply:{title:"Apply"},bendingRadius:{error:{greaterThan:"The new bending radius must be greater than 0",required:"The new bending radius is required"},help:"\u003Cp\u003EThis is the new radius that will be apply to all curves of the trajectory\u003C\u002Fp\u003E",label:"New bending radius"},experimental:"Please note that this function is experimental, double check the trajectory after adjustment.",title:"Adjust all curves radius"},button:{title:"Tools"},showIntermediateValues:{hide:{title:"Hide intermediate values"},show:{title:"Show intermediate values"}}}},undefined:{limit:"Please complete"}}}}}}}(void 0,"",false,true,"Error","Customer","Date","Location","Retry","Name","@:section.equipment.pushingMachine.limit","Stretch","Adjustment mode","Preserve geometry","Preserve segments length","Preserve total length",null,0,"Project","Change my password","* Your old password is required.","Description","Delete","Cable diameter","The cable diameter must be greater than 0","Curve","Import trajectory","Straight","default","grid",1,"\u002F","n\u002Fa","Log in","Password","Flow calculator","Profile","The password verification is different that the password.","Confirm password","Please provide a valid password.","Please provide a stronger password.","* Please provide a valid email address.","Email","Register to the newsletter","* This username is already used by someone else.","* Please provide a valid username.","Username","An error occurred when saving the project","The project is successfully saved on the server","Edit project","Rename this section","Grid","Open","Rename folder","New folder","Register","Duct diameter","Numerical values hightlighted by the mouse","distance","Flow","Distance [m]","Pressure","## Features\n- Message of the day\n- ...\n\n## Bug fixes\n- a lot","Equipment","Length","The cable end is required","Cable end","Open end","Shuttle","Sonic head","the cable","Max pulling force","@:section.cable.limit","Microduct outer diameter","The bundle and residents diameter must be lesser than the duct inner diameter","Please note that the diameter is not in the range of the machine supported cable diameter","One machine for all cables","One machine for each cable","the cable diameter must be lesser or equal to 75 mm","This field is required","Filling degree too high, please reduce bundle size","No","Yes","Copy","Table of values","Value","Elevation profile","The air pressure is required","@:section.equipment.pullingMachine.limit","Pushing machine","Max pushing force","Max water pressure","The water pressure is required","Section","Favorites","Stop before the end","Insufficient push force to overcome input pressure drop","Cable resistance warning","Results","Top view","Rollers","The pushing force is required","Pushing force","Trim end","Duct","Please note that the diameter is not in the range of the machine supported duct diameter","The type is required","Default values","There are 2 curves in a row, a small straight segment with a slope of 0° is assumed in between.","There is 2 straight segments in a row, a small curved segment is assumed in between to handle the slope change.","Default bending radius","Save file in project files","Trajectory simplification","Rollers curve","Repeat","Pusher"));</script><script src="/_nuxt/f8eeba7.js" defer=""></script><script src="/_nuxt/62ab3f1.js" defer=""></script><script src="/_nuxt/5d630c6.js" defer=""></script><script src="/_nuxt/e80216b.js" defer=""></script><script src="/_nuxt/d731b4b.js" defer=""></script><script src="/_nuxt/25ce815.js" defer=""></script>
  

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