Modeling Method, Device, Electronic Device and Storage Medium for Underground Cables
By calculating the similarity of underground cable parameters, evaluating its remaining life and building a three-dimensional model, the problem that cable life cannot be reflected in the existing technology is solved, the timeliness of cable repair and replacement are improved, and the reliability of cable work is enhanced.
Patent Information
- Application Number
- CN202210105972.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-01-28
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2042-01-28
AI Technical Summary
The existing underground cable modeling methods cannot reflect the life of the cable, contain less information and have great limitations.
By calculating the similarity between the parameter values of the cable parameters and the preset parameter values, the remaining life of the cable is determined and a three-dimensional model is constructed.
Accurate evaluation of the remaining life of the cable is achieved, timely repair and replacement of cables is improved, and the reliability of cable work is enhanced.
Smart Images

Figure CN114462239B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of underground cables, and in particular, to a modeling method, device, electronic device, and storage medium for underground cables. Background Art
[0002] With the increasing scope of underground cable laying, in order to improve the monitoring efficiency of underground cables, three-dimensional modeling of underground cables can be carried out to monitor the status of underground cables in real time and ensure reliable power supply in the region. Most of the existing underground cable modeling is carried out through their respective data formats, and the established models cannot reflect the life of underground cables, contain little information, and have great limitations. Summary of the Invention
[0003] Embodiments of the present invention provide a modeling method, device, electronic device, and storage medium for underground cables to solve the problems that the existing models of underground cables cannot reflect the life of underground cables, contain little information, and have great limitations.
[0004] In a first aspect, an embodiment of the present invention provides a modeling method for an underground cable, including:
[0005] Obtaining a cable data set of a target cable; the cable data set includes parameter values of at least one cable parameter;
[0006] For each cable parameter, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter;
[0007] Determining the remaining life of the target cable according to the obtained similarity values of the respective cable parameters, and constructing a three-dimensional model of the target cable according to the remaining life and the cable data set.
[0008] In a possible implementation manner, after obtaining the cable data set of the target cable, the method further includes:
[0009] Respectively determining the status of each cable parameter; the status of the cable parameter includes a normal status, an abnormal status, or an invalid status;
[0010] Correspondingly, for each cable parameter, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter includes:
[0011] For each cable parameter in the normal status, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter.
[0012] In a possible implementation manner, respectively determining the status of each cable parameter includes:
[0013] For each cable parameter:
[0014] If the parameter value of the cable parameter is within the preset range corresponding to the cable parameter, it is determined that the cable parameter is in a normal state;
[0015] If the parameter value of the cable parameter is higher than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in an invalid state;
[0016] If the parameter value of the cable parameter is lower than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in an abnormal state.
[0017] In a possible implementation manner, after respectively determining the states of each cable parameter, the method further includes:
[0018] Re-collect the parameter values of the cable parameters in the abnormal state;
[0019] Eliminate the parameter values of the cable parameters in the invalid state.
[0020] In a possible implementation manner, determining the remaining life of the target cable according to the obtained similarity values of each cable parameter includes:
[0021] Sum up the obtained similarity values of each cable parameter as the scoring level of the target cable;
[0022] Compare the scoring level of the target cable with the preset scoring level-life table to determine the remaining life of the target cable.
[0023] In a possible implementation manner, at least one cable parameter includes a specification parameter, a fault parameter, and an environmental parameter.
[0024] In a possible implementation manner, after obtaining the cable data set of the target cable, the method further includes:
[0025] Use a preset standard mapping table to convert the cable data set into a standardized cable data set;
[0026] Correspondingly,
[0027] For each cable parameter, calculate the similarity value between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter, including: for each cable parameter, calculate the similarity value between the standardized parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter;
[0028] Construct a three-dimensional model of the target cable according to the remaining life and the cable data set, including: construct a three-dimensional model of the target cable according to the remaining life and the standardized cable data set.
[0029] In a second aspect, an embodiment of the present invention provides a modeling device for an underground cable, including an acquisition module, a calculation module, and a construction module;
[0030] An acquisition module is used to acquire a cable data set of a target cable; the cable data set includes parameter values of at least one cable parameter.
[0031] A calculation module is used to calculate, for each cable parameter, a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter.
[0032] A construction module is used to determine the remaining life of the target cable according to the obtained similarity values of the respective cable parameters, and construct a three-dimensional model of the target cable according to the remaining life and the cable data set.
[0033] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the modeling method for underground cables described above in the first aspect or any possible implementation manner of the first aspect are implemented.
[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the modeling method for underground cables described above in the first aspect or any possible implementation manner of the first aspect are implemented.
[0035] An embodiment of the present invention provides a modeling method, device, electronic device, and storage medium for underground cables. By calculating the similarity values between the parameter values of each electrical parameter in the cable data set of the target cable and the corresponding alligator club parameter values, and determining the remaining life of the target cable according to the similarity values, and finally constructing a three-dimensional model of the target cable according to the remaining life and the cable data set, the three-dimensional model of the target cable can display the remaining life of the target cable, which is beneficial for the staff to repair or replace the target cable in time and improve the reliability of the underground cable work. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0037] Figure 1 is a flowchart of the implementation of the modeling method for underground cables provided by an embodiment of the present invention;
[0038] Figure 2 is a schematic structural diagram of the modeling device for underground cables provided by an embodiment of the present invention;
[0039] Figure 3 It is a schematic diagram of an electronic device provided by an embodiment of the present invention. Specific Embodiments
[0040] In the following description, specific details such as specific system architectures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.
[0041] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments with reference to the accompanying drawings.
[0042] See Figure 1 , which shows the implementation flowchart of a method for modeling an underground cable provided by an embodiment of the present invention. As Figure 1 shown, a method for modeling an underground cable may include:
[0043] S101, obtain a cable data set of a target cable; the cable data set includes parameter values of at least one cable parameter.
[0044] Optionally, during the process of three-dimensional modeling of the target cable, multiple cable parameters are required. The cable parameters may include at least one of design parameters, environmental parameters, operating parameters, or fault parameters. For example, the at least one cable parameter may include specification parameters, fault parameters, and environmental parameters.
[0045] Specifically, the design parameters can be obtained from the design drawings of the target cable and may include design information such as the specification model and location orientation of the target cable. The environmental parameters can be obtained by collecting the environmental information around the target cable and may include environmental information such as the environmental temperature and environmental humidity of the target cable. The operating parameters can be obtained from the upstream and downstream power distribution equipment or the central server of the target cable and may include power consumption parameters such as the operating voltage and operating load of the target cable. The fault parameters can be obtained from the log information of the target cable and may include fault information such as the number of faults, fault location, and fault time of the target cable.
[0046] Exemplarily, the cable data set may include parameter values such as the specification model, location orientation, environmental temperature, number of faults, and fault location of the target cable.
[0047] S102, for each cable parameter, calculate the similarity value between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter.
[0048] Optionally, for each cable parameter, the preset parameter value corresponding to the cable parameter is a representative parameter value of the target cable in a normal state. The preset parameter value corresponding to the cable parameter can be obtained from the historical data of the target cable. For example, if the cable parameter includes the ambient temperature, the preset parameter value is the maximum value or the minimum value or the average value of the historical ambient temperature in the normal state.
[0049] Specifically, for the design parameters, the conventional parameters of the target cable can be used as the preset parameter values of the design parameters. For the environmental parameters, the average value of the historical environmental parameters of the target cable can be calculated as the preset parameter value of the environmental parameters. For the working parameters, the average value of the historical working parameters of the target cable can be calculated, or the maximum value in the historical working parameters can be selected as the preset parameter value of the working parameters. For the fault parameters, the sum of the historical fault parameters of the target cable can be calculated, and the sum value of the historical fault parameters after summation can be used as the preset parameter value of the fault parameters. Specific selection can be made according to the actual situation.
[0050] Exemplarily, if the cable parameter is the ambient temperature, the average value of the historical ambient temperature can be calculated and used as the preset parameter value corresponding to the ambient temperature.
[0051] Optionally, for each cable parameter, the cosine similarity between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter can be calculated as the similarity value. Among them, the value range of the similarity value is [-1, 1]. -1 indicates that the parameter value of the cable parameter is exactly opposite to the direction of the preset parameter value corresponding to the cable parameter, with the greatest difference, and 1 indicates that the parameter value of the cable parameter is exactly the same as the direction of the preset parameter value corresponding to the cable parameter, with the greatest similarity. Or, for each cable parameter, the difference or ratio between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter can be calculated, and the difference or ratio can be used as the similarity value. Or, for each cable parameter, with the preset parameter value corresponding to the cable parameter as the clustering center, the distance between the cable parameter and the clustering center can be calculated as the similarity value. Specific selection can be made according to the actual situation.
[0052] S103. Determine the remaining life of the target cable according to the obtained similarity values of each cable parameter, and construct a three-dimensional model of the target cable based on the remaining life and the cable data set.
[0053] Optionally, the sum of the obtained similarity values of each cable parameter, or the sum of the absolute values of the obtained similarity values of each cable parameter, can be used as the scoring grade of the target cable, and then the remaining life of the target cable can be determined by looking up a table.
[0054] Specifically, the rating level of the target cable can be compared with a preset rating level - life table to determine the remaining life of the target cable by looking up the table. Among them, the preset rating level - life table includes the corresponding relationships between various preset rating levels and the remaining life of the target cable. Each remaining life in this rating level - life table is simulated and confirmed for the target cable in a simulated environment. For example, by simulating the specification model, ambient temperature, number of faults, and fault location of the target cable, etc., the corresponding remaining life of the target cable is obtained.
[0055] Optionally, when the rating level of the target cable is inconsistent with the rating levels in the preset rating level - life table, the rating level in the rating level - life table that is closest to the target cable is selected as the standard. When there are two rating levels in the rating level - life table with the same distance from the rating level of the target cable, the rating level corresponding to the less remaining life in the table is selected as the rating level of the target cable to ensure the maximum remaining life margin of the target cable, which is convenient for timely maintenance or replacement of the target cable. Specifically, it can be selected according to the actual situation.
[0056] Optionally, after determining the remaining life of the target cable, bind this remaining life to the location of the target cable, and input the design parameters, environmental parameters, working parameters, fault parameters, and the location of the target cable into 3D modeling software to construct a 3D model of the target cable, and the remaining life of the target cable can be displayed in this 3D model of the target cable.
[0057] Optionally, after constructing the 3D model of the target cable, monitor the working parameters of the target cable. If the working parameters change, recalculate the remaining life of the target cable and update the 3D model of the target cable to ensure the real - time nature of the 3D model of the target cable. Or, at every preset time interval, recalculate the remaining life of the target cable and update the 3D model of the target cable.
[0058] Specifically, the working parameters of the target cable include the number of faults. If the target cable fails, recalculate the remaining life of the target cable and update the 3D model of the target cable.
[0059] After constructing the 3D model of the target cable, monitor the remaining life of the target cable through this model. If the remaining life of the target cable is lower than the preset life, an alarm signal is sent to remind the staff to timely know the status of the target cable.
[0060] In some embodiments of the present invention, to ensure the reliability of the remaining life calculation, after "obtaining the cable data set of the target cable" in S101, the method may further include: respectively judging the status of each cable parameter; the status of the cable parameter includes a normal state, an abnormal state, or an invalid state.
[0061] Correspondingly, for each cable parameter, calculate the similarity value between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter, including: for each cable parameter in the normal state, calculate the similarity value between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter.
[0062] Optionally, to ensure the reliability of the target cable life calculation, it is necessary to screen the cable data set of the target cable. The screening can be performed by judging the status of each cable parameter. Calculate the remaining life of the target cable using all cable parameters in the normal state.
[0063] Specifically, for each cable parameter in the normal state, calculate the cosine similarity between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter as the similarity value of the cable parameter. Alternatively, calculate the difference between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter as the similarity value of the cable parameter. The specific selection can be made according to the actual situation.
[0064] Optionally, each cable parameter corresponds to a preset range. For each cable parameter: if the parameter value of the cable parameter is within the preset range corresponding to the cable parameter, it is determined that the cable parameter is in the normal state; if the parameter value of the cable parameter is higher than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in the invalid state; if the parameter value of the cable parameter is lower than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in the abnormal state.
[0065] Optionally, for each cable parameter, the preset range corresponding to the cable parameter is the normal range of the cable parameter. If the parameter value of the cable parameter is lower than the preset range, abnormal acquisition may occur, resulting in inaccurate acquisition of the parameter value of the cable parameter. The cable parameters in the abnormal state can be recollected. If the parameter value of the cable parameter is higher than the preset range, it is possible that the target cable does not have this cable parameter, that is, this cable parameter is invalid, and the parameter values of the cable parameters in the invalid state can be excluded. By recollecting or excluding, the cable data set can be further screened, which can improve the reliability of the calculation.
[0066] Each distribution area can correspond to a three-dimensional cable model. To ensure the consistency of the three-dimensional cable models established in different distribution areas and facilitate data exchange, in some embodiments of the present invention, after obtaining the cable data set of the target cable, the method further includes: using a preset standard mapping table to convert the cable data set into a standardized cable data set.
[0067] Correspondingly, for each cable parameter, calculate the similarity value between the parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter, including: for each cable parameter, calculate the similarity value between the standardized parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter. Construct a three-dimensional model of the target cable according to the remaining life and the cable data set, including: construct a three-dimensional model of the target cable according to the remaining life and the standardized cable data set.
[0068] Optionally, the preset standard mapping table is a preset standard conversion table for each cable parameter, so as to unify the units or the valid data bits of the unified cable parameters in different regions, that is, to standardize the cable data. For example, the cable parameter may include the cable working years, and there may be different forms such as "XX years XX months XX days", "XX.XX.XX", "XX years", etc. The preset standard mapping table converts the above three forms into the form of "XXXXXX", removing Chinese characters and decimal points, and using "0" to replace the non-existent bits.
[0069] Exemplarily, the preset standard mapping table can convert "January 1, 22 years" into "220101", convert "22.1.2" into "220102", and convert "22 years" into "220000". The same applies to other cable parameters. Each cable parameter can be converted into the standard form corresponding to the cable parameter through the preset standard mapping table.
[0070] In the embodiment of the present invention, by adding the remaining life of the cable to the three-dimensional model corresponding to the cable, timely maintenance can be carried out, and the reliability of the underground cable work can be improved. At the same time, standardizing the cable parameters and then standardizing the three-dimensional cable model can improve the modeling efficiency.
[0071] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
[0072] The following is the device embodiment of the present invention. For the details not described in detail, reference may be made to the corresponding method embodiment above.
[0073] Figure 2 The structural schematic diagram of the modeling device for underground cables provided by the embodiment of the present invention is shown. For the sake of convenience of description, only the parts related to the embodiment of the present invention are shown and are described in detail as follows:
[0074] As Figure 2 shown, the modeling device 20 for underground cables may include an acquisition module 201, a calculation module 202, and a construction module 203.
[0075] The acquisition module 201 is used to acquire a cable data set of a target cable; the cable data set includes parameter values of at least one cable parameter. The calculation module 202 is used to calculate, for each cable parameter, a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter. The construction module 203 is used to determine the remaining life of the target cable according to the obtained similarity values of the respective cable parameters, and construct a three-dimensional model of the target cable based on the remaining life and the cable data set.
[0076] In some embodiments of the present invention, the device 20 may further include a judgment module; the judgment module is used to respectively judge the states of the respective cable parameters after acquiring the cable data set of the target cable; the states of the cable parameters include a normal state, an abnormal state, or an invalid state. Correspondingly, the calculation module 202 is further used to calculate, for each cable parameter in the normal state, a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter.
[0077] In some embodiments of the present invention, the judgment module may further be used for each cable parameter: if the parameter value of the cable parameter is within a preset range corresponding to the cable parameter, it is determined that the cable parameter is in a normal state; if the parameter value of the cable parameter is higher than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in an invalid state; if the parameter value of the cable parameter is lower than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in an abnormal state.
[0078] In some embodiments of the present invention, the device 20 may further include a screening module; the screening module is used to re-collect the parameter values of the cable parameters in the abnormal state and eliminate the parameter values of the cable parameters in the invalid state after respectively judging the states of the respective cable parameters.
[0079] In some embodiments of the present invention, the construction module 203 may include a summing unit and a look-up table unit; the summing unit is used to sum up the obtained similarity values of the respective cable parameters as the scoring grade of the target cable; the look-up table unit is used to compare the scoring grade of the target cable with a preset scoring grade-life table to determine the remaining life of the target cable.
[0080] In some embodiments of the present invention, the at least one cable parameter includes a specification parameter, a fault parameter, and an environmental parameter.
[0081] In some embodiments of the present invention, the device 20 may further include a mapping module; the mapping module is configured to, after obtaining the cable data set of the target cable, use a preset standard mapping table to convert the cable data set into a standardized cable data set. Correspondingly, the calculation module 202 is further configured to calculate, for each cable parameter, the similarity value between the standardized parameter value of the cable parameter and the preset parameter value corresponding to the cable parameter; the construction module 203 is further configured to construct a three-dimensional model of the target cable according to the remaining life and the standardized cable data set.
[0082] Figure 3 is a schematic diagram of an electronic device provided by an embodiment of the present invention. As Figure 3 shown, the electronic device 30 of this embodiment includes: a processor 300, a memory 301, and a computer program 302 stored in the memory 301 and executable on the processor 300. When the processor 300 executes the computer program 302, the steps in the above-described embodiments of the modeling method for each underground cable are implemented, such as Figure 1 S101 to S103 shown. Alternatively, when the processor 300 executes the computer program 302, the functions of each module / unit in the above-described device embodiments are implemented, such as Figure 2 the functions of the modules / units 201 to 203 shown.
[0083] Exemplarily, the computer program 302 may be divided into one or more modules / units, and one or more modules / units are stored in the memory 301 and executed by the processor 300 to complete the present invention. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 302 in the electronic device 30. For example, the computer program 302 may be divided into Figure 2 the modules / units 201 to 203 shown.
[0084] The electronic device 30 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electronic device 30 may include, but is not limited to, a processor 300 and a memory 301. Those skilled in the art can understand that Figure 3 merely examples of the electronic device 30, and do not constitute a limitation on the electronic device 30. It may include more or fewer components than those shown in the figure, or combine certain components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.
[0085] The so-called processor 300 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0086] The memory 301 may be an internal storage unit of the electronic device 30, such as the hard disk or memory of the electronic device 30. The memory 301 may also be an external storage device of the electronic device 30, such as a plug-in hard disk equipped on the electronic device 30, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 301 may also include both the internal storage unit of the electronic device 30 and the external storage device. The memory 301 is used to store computer programs and other programs and data required by the electronic device. The memory 301 may also be used to temporarily store data that has been output or is to be output.
[0087] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.
[0088] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0089] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.
[0090] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0091] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.
[0092] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.
[0093] When the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of the present invention, it can also be completed by a computer program instructing relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various embodiment methods of the underground cable modeling method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.
[0094] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included within the protection scope of the present invention.
Claims
1. A modeling method for underground cables, characterized in that, Including: Obtaining a cable data set of a target cable; The cable data set includes parameter values of at least one cable parameter; For each cable parameter, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter; Determining the remaining life of the target cable according to the obtained similarity values of each cable parameter, and constructing a three-dimensional model of the target cable according to the remaining life and the cable data set; The determining the remaining life of the target cable according to the obtained similarity values of each cable parameter includes: Summing up the obtained similarity values of each cable parameter as the scoring grade of the target cable; Comparing the scoring grade of the target cable with a preset scoring grade-life table to determine the remaining life of the target cable.
2. The modeling method of the underground cable according to claim 1, wherein After obtaining the cable data set of the target cable, the method further includes: Respectively judging the status of each cable parameter; the status of the cable parameter includes a normal status, an abnormal status or an invalid status; Correspondingly, for each cable parameter, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter includes: For each cable parameter in the normal status, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter.
3. The modeling method of the underground cable according to claim 2, characterized in that, The respectively judging the status of each cable parameter includes: For each cable parameter: If the parameter value of the cable parameter is within the preset range corresponding to the cable parameter, it is determined that the cable parameter is in the normal status; If the parameter value of the cable parameter is higher than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in the invalid status; If the parameter value of the cable parameter is lower than the preset range corresponding to the cable parameter, it is determined that the cable parameter is in the abnormal status.
4. The modeling method of the underground cable according to claim 3, characterized in that, After respectively judging the status of each cable parameter, the method further includes: Re-collecting the parameter values of the cable parameters in the abnormal status; Eliminating the parameter values of the cable parameters in the invalid status.
5. The modeling method of the underground cable according to any one of claims 1 to 4, characterized in that, The at least one cable parameter includes a specification parameter, a fault parameter and an environment parameter.
6. The modeling method of the underground cable according to any one of claims 1 to 4, characterized in that, After obtaining the cable data set of the target cable, the method further includes: Using a preset standard mapping table to convert the cable data set into a standardized cable data set; Correspondingly, For each cable parameter, calculating a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter includes: For each cable parameter, calculating a similarity value between the standardized parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter; The constructing a three-dimensional model of the target cable according to the remaining life and the cable data set includes: Constructing a three-dimensional model of the target cable according to the remaining life and the standardized cable data set.
7. A modeling device for an underground cable, characterized in that, Including an acquisition module, a calculation module and a construction module; The acquisition module is used to obtain a cable data set of a target cable; The cable data set includes parameter values of at least one cable parameter; The calculation module is used to calculate, for each cable parameter, a similarity value between the parameter value of the cable parameter and a preset parameter value corresponding to the cable parameter; The building module is used to determine the remaining life of the target cable according to the similarity values of the obtained cable parameters, and construct a three-dimensional model of the target cable based on the remaining life and the cable dataset; Specifically, the building module is used for: Summing up the similarity values of the obtained cable parameters as the scoring level of the target cable; Comparing the scoring level of the target cable with a preset scoring level-life table to determine the remaining life of the target cable.
8. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the modeling method of the underground cable according to any one of claims 1 to 6 above are implemented.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the modeling method of the underground cable according to any one of claims 1 to 6 above are implemented.
Citation Information
Patent Citations
Underground cable fault early warning method and device based on model selection
CN110866634A
Three-dimensional parametric modeling and efficient rendering method for underground cable facility
CN112017287A