Intelligent distance measurement method and system applied to distribution network line

Abstract

The invention is suitable for the technical field of data processing, and provides an intelligent distance measurement method and system applied to a distribution network line. The method comprises the following steps: firstly, acquiring to-be-evaluated coordinate information, first measurement moment information corresponding to the to-be-evaluated coordinate information, multiple pieces of actual measurement geographic coordinate information, second measurement moment information corresponding to each piece of geographic coordinate information and average detection speed information; then accurately generating coordinate credibility information according to the to-be-assessed coordinate information, the first measurement moment information, the multiple pieces of actual measurement geographic coordinate information, the multiple pieces of second measurement moment information and the detection speed information, then effectively generating credible coordinate information according to the to-be-assessed coordinate information and the coordinate credibility information, and finally determining the credible coordinate information according to the multiple pieces of credible coordinate information. And the distribution network line distance information is automatically generated. According to the method, more reliable data support can be provided for underground pipe network measurement, and the detection precision and the detection efficiency of data measurement are greatly improved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to an intelligent distance measurement method and system thereof applied to distribution network lines. Background Art

[0002] In the power industry, distribution lines are an important part of the power supply chain, ensuring the efficient distribution and safe use of electricity. In order to support the planning, maintenance, troubleshooting and expansion of the power grid, it is usually necessary to measure the distribution lines.

[0003] At present, inspectors usually use measuring wheels to record measurement data directly. Due to certain physical deviations of the measuring wheels themselves, the measurement data may increase with the increase of measuring distance, resulting in large errors in the final measurement data. There is a problem of low data reliability, which needs further improvement. Summary of the invention

[0004] Based on this, an embodiment of the present application provides an intelligent ranging method and system applied to distribution network lines to solve the problem of low data reliability in the prior art.

[0005] In a first aspect, an embodiment of the present application provides an intelligent ranging method applied to a distribution network line, which is applied to a ranging wheel, and the method includes: Acquire coordinate information to be evaluated, first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, second measurement time information corresponding to each geographic coordinate information, and average detection speed information; Generate coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, the plurality of measured geographic coordinate information, the plurality of second measurement time information, and the detection speed information; Generate credible coordinate information based on the coordinate information to be evaluated and the coordinate credibility information; Generate distribution network line distance information based on multiple trusted coordinate information.

[0006] Compared with the prior art, the beneficial effect is that the intelligent distance measurement method applied to the distribution network line provided in the embodiment of the present application, the terminal device can first obtain the coordinate information to be evaluated, the first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, the second measurement time information corresponding to each geographic coordinate information, and the average detection speed information, and then accurately generate the coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, the multiple measured geographic coordinate information, the multiple second measurement time information, and the detection speed information, and then effectively generate the trusted coordinate information according to the coordinate information to be evaluated and the coordinate credibility information, and finally automatically generate the distribution network line distance information according to the multiple trusted coordinate information, thereby meeting the needs of the detection personnel to measure the distribution network line on the premise of improving the data reliability, effectively improving the data reliability, and solving the current problem of low data reliability to a certain extent.

[0007] In a second aspect, an embodiment of the present application provides an intelligent distance measurement system applied to a distribution network line, applied to a distance measuring wheel, the system comprising: Coordinate information acquisition module: used to acquire coordinate information to be evaluated, first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, second measurement time information corresponding to each geographic coordinate information, and average detection speed information; Coordinate credibility information generation module: used to generate coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, a plurality of measured geographic coordinate information, a plurality of second measurement time information, and the detection speed information; Trusted coordinate information generation module: used to generate trusted coordinate information based on the coordinate information to be evaluated and the coordinate credibility information; Distribution network line distance information generation module: used to generate distribution network line distance information based on multiple trusted coordinate information.

[0008] In a third aspect, an embodiment of the present application provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect described above when executing the computer program.

[0009] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method of the first aspect described above are implemented.

[0010] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0012] Figure 1 It is a flowchart of an intelligent ranging method provided by an embodiment of the present application; Figure 2 is a schematic diagram of a distribution network line provided in an embodiment of the present application; Figure 3 is a flow chart of step S200 in the intelligent ranging method provided in one embodiment of the present application; Figure 4 is a schematic diagram of interval threshold information provided by an embodiment of the present application; Figure 5 is a schematic diagram of deviation distance information provided by an embodiment of the present application; Figure 6 is a flowchart of step S300 in the intelligent ranging method provided in one embodiment of the present application; Figure 7 It is a flowchart after step S300 in the intelligent ranging method provided in one embodiment of the present application; Figure 8 It is a module block diagram of an intelligent ranging system provided by an embodiment of the present application; Fig. 9 It is a schematic diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may 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 prevent unnecessary details from obstructing the description of the present application.

[0014] In the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0015] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0016] In order to illustrate the technical solution described in this application, a specific embodiment is provided below for illustration.

[0017] See also Figure 1 , Figure 1 1 is a flow chart of the intelligent ranging method applied to the distribution network line provided in the embodiment of the present application. In the present embodiment, the execution subject of the intelligent ranging method is a terminal device. It is understandable that the types of terminal devices include but are not limited to mobile phones, tablet computers, laptop computers, ultra-mobile personal computers (Ultra-Mobile Personal Computer, UMPC), netbooks, personal digital assistants (Personal Digital Assistant, PDA), etc., and the embodiments of the present application do not impose any restrictions on the specific types of terminal devices.

[0018] See also Figure 1 The intelligent ranging method provided in the embodiment of the present application includes but is not limited to the following steps: In S100, coordinate information to be evaluated, first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, second measurement time information corresponding to each measured geographic coordinate information, and average detection speed information are obtained.

[0019] Without loss of generality, the intelligent distance measurement method can be applied to distance measuring wheels, and the distribution network line can be an underground distribution network pipeline before burial. In other possible implementations, the distribution network line can also be a related pipeline in municipal construction, communication engineering or the petroleum industry, thereby expanding the application scenarios and market potential of the intelligent distance measurement method.

[0020] Specifically, the terminal device can first obtain the coordinate information to be evaluated, the first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, the second measurement time information corresponding to each measured geographic coordinate information, and the average detection speed information, wherein the coordinate information to be evaluated is used to describe the geographic coordinates corresponding to the current measurement point of the distribution network line; the first measurement time information is used to describe the measurement time of the coordinate information to be evaluated; the measured geographic coordinate information is used to describe the geographic coordinates corresponding to the historical measurement points of the distribution network line; the historical measurement points are closer to the measurement starting point than the current measurement point; the second measurement time information is used to describe the measurement time of the measured geographic coordinate information; the average detection speed information is used to describe the average moving speed of the distance measuring wheel.

[0021] Without loss of generality, the methods of obtaining the coordinate information to be evaluated and the measured geographic coordinate information can be combined with the real-time dynamic measurement (RTK) positioning technology. RTK positioning technology is to receive satellite signals simultaneously by two or more receivers, and use the differential processing between the base station and the mobile station to achieve centimeter-level high-precision positioning, thereby initially improving the accuracy and reliability of the measurement data. In addition, the RTK system can generate kml files containing geographic coordinate information, which provides accurate basic data for subsequent data analysis and drawing comparison verification, and expands the application scope of intelligent ranging methods.

[0022] For example, see Figure 2 , Figure 2 The direction of the arrow indicates the direction of travel of the distance measuring wheel. When the circle with "A" inside indicates the current measuring point and the circle with "F" inside indicates the measuring starting point, the circles with "B", "C", "D", "E" and "F" inside can all indicate historical measuring points.

[0023] In S200 , coordinate credibility information is generated according to the coordinate information to be evaluated, the first measurement time information, a plurality of measured geographic coordinate information, a plurality of second measurement time information, and the detection speed information.

[0024] Specifically, the terminal device can quickly generate coordinate credibility information based on the coordinate information to be evaluated, the first measurement time information, multiple measured geographic coordinate information, multiple second measurement time information, and detection speed information, wherein the coordinate credibility information is used to characterize the credibility of the coordinate information to be evaluated.

[0025] In some possible implementations, to generate coordinate credibility information, see Figure 3 Step S200 includes but is not limited to the following steps: In S210 , for each piece of measured geographic coordinate information: generate interval distance information according to the coordinate information to be evaluated and the measured geographic coordinate information.

[0026] Specifically, the terminal device can perform this processing for each measured geographic coordinate information: use the Euclidean distance formula to calculate the distance between the coordinate information to be evaluated and the measured geographic coordinate information, and generate interval distance information, wherein the interval distance information is used to describe the interval distance between the coordinate information to be evaluated and the measured geographic coordinate information.

[0027] In S220, a plurality of sampled geographic coordinate information is determined according to the interval distance information and the preset interval threshold information.

[0028] Specifically, after the terminal device generates the interval distance information, the terminal device can determine multiple sampled geographic coordinate information from multiple measured geographic coordinate information based on the interval distance information and the preset interval threshold information, wherein the interval distance information corresponding to the sampled geographic coordinate information is greater than the interval threshold information.

[0029] For example, see Figure 2 and Figure 4 , the terminal device can respectively determine that the perfect circles marked with "D", "E", and "F" inside are the sampled geographic coordinate information.

[0030] In S230, for each sampled geographic coordinate information: generate interval duration information according to the difference between the second measurement time information corresponding to the sampled geographic coordinate information and the first measurement time information corresponding to the coordinate information to be evaluated.

[0031] Specifically, after the terminal device determines multiple sampled geographic coordinate information, the terminal device can perform this processing for each sampled geographic coordinate information: generate interval duration information based on the difference between the second measurement time information corresponding to the sampled geographic coordinate information and the first measurement time information corresponding to the coordinate information to be evaluated.

[0032] In S240 , theoretical geographic coordinate information is generated according to the interval duration information and the average detection speed information.

[0033] Specifically, after the terminal device generates the interval duration information, the terminal device can first generate a distance value based on the product of the interval duration information and the average detection speed information, and then determine the theoretical geographic coordinate information based on the sampled geographic coordinate information and the distance value, wherein the theoretical geographic coordinate information is used to describe the geographic coordinates that are theoretically reached after the interval duration information, taking the sampled geographic coordinate information as the starting point and according to the average detection speed information.

[0034] In S250 , deviation distance information is generated according to the theoretical geographic coordinate information and the coordinate information to be evaluated.

[0035] For example, see Figure 4 and Figure 5 , for the sake of easy understanding, only one piece of theoretical geographical coordinate information is shown in Figure 5 . The regular circle marked with "Li" inside represents the theoretical geographical coordinate information corresponding to the regular circle marked with "D" inside. After the terminal device generates the theoretical geographical coordinate information, the terminal device can use the Euclidean distance formula to calculate the distance between the theoretical geographical coordinate information and the coordinate information to be evaluated, and generate deviation distance information.

[0036] In S260, according to the interval threshold information, the deviation distance information, and a preset coordinate credibility calculation function, coordinate credibility information is generated.

[0037] Specifically, after the terminal device generates the deviation distance information, the terminal device can accurately generate the coordinate credibility information according to the interval threshold information, the deviation distance information, and the preset coordinate credibility calculation function.

[0038] In some possible implementation manners, in order to further generate effective and accurate coordinate credibility information, step S260 includes but is not limited to the following steps: In S261, the interval threshold information and the deviation distance information are input into the preset coordinate credibility calculation function to generate the coordinate credibility information.

[0039] Specifically, the terminal device can input the interval threshold information and the deviation distance information into the preset coordinate credibility calculation function to accurately generate the coordinate credibility information, so as to comprehensively determine the credibility degree of the coordinate information to be evaluated.

[0040] In some possible implementation manners, the above-mentioned coordinate credibility calculation function may be: , In the formula, represents the coordinate credibility information. The smaller the value of the coordinate credibility information, the higher the credibility degree of the coordinate information to be evaluated; represents the serial number of the theoretical geographical coordinate information; represents the quantity of the theoretical geographical coordinate information. Exemplarily, when the total quantity of the theoretical geographical coordinate information is 20, takes the value of 20.

[0041] In the formula, represents the deviation distance information, represents the quantity correction factor information, represents the distance correction factor information, represents the deviation distance information corresponding to the theoretical geographical coordinate information that is farthest from the coordinate information to be evaluated, represents the interval threshold information.

[0042] It should be noted that the more theoretical geographic coordinate information there is, the greater the maximum interval distance between the theoretical geographic coordinates and the coordinate information to be evaluated, and the more difficult it is for the coordinate information to be evaluated to completely match the theoretical geographic coordinates, that is, the more difficult it is for the coordinate information to be evaluated to coincide with the theoretical geographic coordinates; if under harsh conditions, the coordinate information to be evaluated can still completely match the theoretical geographic coordinates, it means that the credibility of the coordinate information to be evaluated meets the requirements of the testers.

[0043] In S300, reliable coordinate information is generated according to the coordinate information to be evaluated and the coordinate credibility information.

[0044] Specifically, after the terminal device generates the coordinate credibility information, the terminal device may generate the trusted coordinate information according to the coordinate information to be evaluated and the coordinate credibility information, wherein the trusted coordinate information is used to describe the coordinate information to be evaluated whose credibility meets the requirements of the detection personnel.

[0045] In some possible implementations, to generate trusted coordinate information, see Figure 6 Step S300 includes but is not limited to the following steps: In S310, it is determined whether the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than a preset credibility threshold.

[0046] Specifically, the terminal device can first determine whether the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than a preset credibility threshold, wherein the credibility threshold can be a reference value pre-defined by the inspection personnel according to the actual situation of the distribution network line, and the inspection personnel can adjust the specific value of the credibility threshold according to the actual situation of the distribution network line.

[0047] In S320, if the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than the credibility threshold, the coordinate information to be evaluated is determined to be credible coordinate information.

[0048] Specifically, if the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than the credibility threshold, it indicates that the credibility of the coordinate information to be evaluated meets the requirements of the detection personnel, and the terminal device can determine that the coordinate information to be evaluated is credible coordinate information.

[0049] In S400, distribution network line distance information is generated according to a plurality of trusted coordinate information.

[0050] Specifically, after the terminal device generates the trusted coordinate information, the terminal device may generate the distribution network line distance information according to the multiple trusted coordinate information, wherein the distribution network line distance information is used to describe the total length of the distribution network line.

[0051] Exemplarily, the terminal device may generate the distribution network line distance information according to the total length between the measurement starting point and the last trusted coordinate information.

[0052] In some possible implementations, in order to intuitively display the distribution network lines and improve the user satisfaction and work efficiency of the inspection personnel, please refer to Figure 7 After step S400, the method further includes but is not limited to the following steps: In S410, based on a preset pressure sensor, cable pressure value information corresponding to each piece of trusted coordinate information is obtained.

[0053] Specifically, since the cable may have large bends during the laying process, causing damage to its internal structure, which in turn affects the electrical conductivity and mechanical strength of the cable, and even causes safety accidents such as short circuits or fires, the terminal device can use a preset pressure sensor to obtain the cable pressure value information corresponding to each trusted coordinate information, where the pressure sensor is pre-installed in the distance measuring wheel; the cable pressure value information is used to describe the measurement value obtained by the pressure sensor when detecting the cable.

[0054] In S420, the cable pressure value information is compared with the preset cable pressure threshold information.

[0055] Specifically, after the terminal device obtains multiple cable pressure value information, the terminal device may compare the cable pressure value information with preset cable pressure threshold information, wherein the cable pressure threshold information may be a value pre-defined by the detection personnel.

[0056] In S430, if the cable pressure value information is greater than the cable pressure threshold information, abnormal pressure mark information is generated.

[0057] Specifically, if the cable pressure value information is greater than the cable pressure threshold information, it indicates that an abnormality exists at the measurement point, and the terminal device can generate abnormal pressure marking information.

[0058] In S440, distribution network line path map information is generated according to the multiple trusted coordinate information and abnormal pressure mark information.

[0059] Specifically, after the terminal device generates abnormal pressure marking information, the terminal device can automatically generate distribution network line path map information based on multiple trusted coordinate information and abnormal pressure marking information, so as to facilitate the intuitive display and analysis of pipeline layout, wherein the distribution network line path map information is used to describe the path map automatically drawn for the distribution network line.

[0060] In some possible implementations, the inspector may also name or classify the points in the distribution network line path map information.

[0061] In some possible implementations, in order to further facilitate in-depth analysis of the data, after step S440, the method further includes but is not limited to the following steps: In S441, based on the distribution network line path map information, the abnormal pressure mark information is sorted and marked in the order of the cable pressure value information from large to small to generate optimized path map information.

[0062] Specifically, the terminal device can sort and mark the abnormal pressure mark information based on the distribution network line path map information and in the order of the cable pressure value information from large to small, so as to effectively generate optimized path map information, wherein the optimized path map information is used to describe the distribution network line path map information after the abnormal pressure mark information is sorted and marked.

[0063] The implementation principle of the intelligent distance measurement method applied to the distribution network line in the embodiment of the present application is as follows: the terminal device can first obtain the coordinate information to be evaluated, the first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, the second measurement time information corresponding to each geographic coordinate information, and the average detection speed information; then, according to the coordinate information to be evaluated, the first measurement time information, the multiple measured geographic coordinate information, the multiple second measurement time information, and the detection speed information, the coordinate credibility information is accurately generated; then, according to the coordinate information to be evaluated and the coordinate credibility information, the trusted coordinate information is effectively generated; finally, according to the multiple trusted coordinate information, the distribution network line distance information is automatically generated, thereby meeting the needs of the detection personnel to measure the distribution network line on the premise of improving the data reliability, and effectively improving the data reliability.

[0064] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0065] The embodiment of the present application also provides an intelligent distance measurement system applied to a distribution network line, which is applied to a distance measurement wheel. For ease of description, only the parts related to the present application are shown, such as Figure 8 As shown, the system 80 includes: Coordinate information acquisition module 81: used to acquire coordinate information to be evaluated, first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, second measurement time information corresponding to each geographic coordinate information, and average detection speed information; Coordinate credibility information generating module 82: used to generate coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, a plurality of measured geographic coordinate information, a plurality of second measurement time information, and the detection speed information; Trusted coordinate information generating module 83: used to generate trusted coordinate information according to the coordinate information to be evaluated and the coordinate credibility information; The distribution network line distance information generating module 84 is used to generate distribution network line distance information according to a plurality of credible coordinate information.

[0066] Optionally, the coordinate credibility information generating module 82 includes: The interval distance information generation submodule is used to generate the interval distance information for each measured geographic coordinate information according to the coordinate information to be evaluated and the measured geographic coordinate information; The sampling geographic coordinate information determination submodule is used to determine a plurality of sampling geographic coordinate information according to the interval distance information and the preset interval threshold information, wherein the interval distance information corresponding to the sampling geographic coordinate information is greater than the interval threshold information; The interval duration information generating submodule is used to generate the interval duration information for each sampled geographic coordinate information according to the difference between the second measurement time information corresponding to the sampled geographic coordinate information and the first measurement time information corresponding to the coordinate information to be evaluated; Theoretical geographic coordinate information generation submodule: used to generate theoretical geographic coordinate information according to interval duration information and average detection speed information; Deviation distance information generation submodule: used to generate deviation distance information according to theoretical geographic coordinate information and coordinate information to be evaluated; Coordinate credibility information generation submodule: used to generate coordinate credibility information according to interval threshold information, deviation distance information and a preset coordinate credibility calculation function; Accordingly, the above-mentioned trusted coordinate information generation module 83 includes: Coordinate credibility information judgment submodule: used to judge whether the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than a preset credibility threshold; Trusted coordinate information determination submodule: used to determine that the coordinate information to be evaluated is trusted coordinate information if the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than the credibility threshold.

[0067] Optionally, the coordinate credibility information generation submodule includes: Coordinate credibility information generating unit: used to input interval threshold information and deviation distance information into a preset coordinate credibility calculation function to generate coordinate credibility information.

[0068] Optionally, the system 80 further includes: Cable pressure value information acquisition module: used to obtain the cable pressure value information corresponding to each trusted coordinate information based on a preset pressure sensor; Cable pressure value information comparison module: used to compare the cable pressure value information with the preset cable pressure threshold information; Abnormal pressure mark information generating module: used for generating abnormal pressure mark information if the cable pressure value information is greater than the cable pressure threshold information; Distribution network line path map information generation module: used to generate distribution network line path map information based on multiple trusted coordinate information and abnormal pressure mark information.

[0069] Optionally, the system 80 further includes: Optimized path map information generation module: used to sort and mark the abnormal pressure mark information based on the distribution network line path map information in the order of cable pressure value information from large to small, and generate optimized path map information.

[0070] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0071] The present application also provides a terminal device, such as Fig. 9 As shown, the terminal device 90 of this embodiment includes: a processor 91, a memory 92, and a computer program 93 stored in the memory 92 and executable on the processor 91. When the processor 91 executes the computer program 93, the steps in the above-mentioned smart ranging method embodiment are implemented, for example Figure 1 Steps S100 to S400 shown; or, when the processor 91 executes the computer program 93, the functions of each module in the above device are realized, for example Figure 8 The functions of modules 81 to 84 are shown.

[0072] The terminal device 90 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server, and the terminal device 90 includes but is not limited to a processor 91 and a memory 92. Those skilled in the art will appreciate that Fig. 9 It is only an example of the terminal device 90 and does not constitute a limitation of the terminal device 90. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 90 may also include input and output devices, network access devices, buses, etc.

[0073] Among them, the processor 91 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0074] The memory 92 may be an internal storage unit of the terminal device 90, such as a hard disk or memory of the terminal device 90, or the memory 92 may be an external storage device of the terminal device 90, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 90; further, the memory 92 may include both an internal storage unit and an external storage device of the terminal device 90, and the memory 92 may also store a computer program 93 and other programs and data required by the terminal device 90, and the memory 92 may also be used to temporarily store data that has been output or is to be output.

[0075] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of each of the above method embodiments can be implemented. Among them, the computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form, etc.; the computer-readable medium may include: any entity or device that can carry computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0076] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, all equivalent changes made according to the methods, principles, and structures of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent distance measurement method applied to a distribution network line, applied to a distance measuring wheel, characterized in that: The method comprises: Acquire coordinate information to be evaluated, first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, second measurement time information corresponding to each of the measured geographic coordinate information, and average detection speed information; Generate coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, a plurality of the measured geographic coordinate information, a plurality of the second measurement time information, and the detection speed information; Generate credible coordinate information according to the coordinate information to be evaluated and the coordinate credibility information; Distribution network line distance information is generated based on the multiple trusted coordinate information.

2. The method according to claim 1, characterized in that The generating coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, the plurality of measured geographic coordinate information, the plurality of second measurement time information, and the detection speed information comprises: For each of the measured geographic coordinate information: generating interval distance information according to the coordinate information to be evaluated and the measured geographic coordinate information; Determine a plurality of sampled geographic coordinate information according to the interval distance information and preset interval threshold information, wherein the interval distance information corresponding to the sampled geographic coordinate information is greater than the interval threshold information; For each of the sampled geographic coordinate information: generating interval duration information according to the difference between the second measurement time information corresponding to the sampled geographic coordinate information and the first measurement time information corresponding to the coordinate information to be evaluated; Generate theoretical geographic coordinate information according to the interval duration information and the average detection speed information; Generate deviation distance information according to the theoretical geographic coordinate information and the coordinate information to be evaluated; Generate the coordinate credibility information according to the interval threshold information, the deviation distance information and a preset coordinate credibility calculation function; Accordingly, generating credible coordinate information according to the coordinate information to be evaluated and the coordinate credibility information includes: Determine whether the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than a preset credibility threshold; If the coordinate credibility information corresponding to the coordinate information to be evaluated is greater than the credibility threshold, the coordinate information to be evaluated is determined to be the credible coordinate information.

3. The method according to claim 2, characterized in that The generating the coordinate credibility information according to the interval threshold information, the deviation distance information and a preset coordinate credibility calculation function includes: The interval threshold information and the deviation distance information are input into a preset coordinate credibility calculation function to generate the coordinate credibility information, wherein the coordinate credibility calculation function is: ， In the formula, is the coordinate credibility information. The smaller the value of the coordinate credibility information is, the higher the credibility of the coordinate information to be evaluated is. is the serial number of the theoretical geographic coordinate information, is the number of theoretical geographic coordinate information, is the deviation distance information, is the quantity correction factor information, is the distance correction factor information, is the deviation distance information corresponding to the theoretical geographic coordinate information farthest from the coordinate information to be evaluated, is the interval threshold information.

4. The method according to claim 1, characterized in that: After generating the distribution network line distance information according to the plurality of trusted coordinate information, the method further includes: Based on a preset pressure sensor, obtaining cable pressure value information corresponding to each of the trusted coordinate information; Comparing the cable pressure value information with preset cable pressure threshold information; If the cable pressure value information is greater than the cable pressure threshold information, generating abnormal pressure mark information; Distribution network line path map information is generated based on the multiple trusted coordinate information and the abnormal pressure mark information.

5. The method according to claim 4, characterized in that After generating the distribution network line path map information according to the plurality of the trusted coordinate information and the abnormal pressure mark information, the method further includes: Based on the distribution network line path map information, the abnormal pressure mark information is sorted and marked in the order of the cable pressure value information from large to small to generate optimized path map information.

6. An intelligent distance measurement system applied to a distribution network line, applied to a distance measuring wheel, characterized in that: The system comprises: Coordinate information acquisition module: used to acquire coordinate information to be evaluated, first measurement time information corresponding to the coordinate information to be evaluated, multiple measured geographic coordinate information, second measurement time information corresponding to each of the geographic coordinate information, and average detection speed information; A coordinate credibility information generating module: used for generating coordinate credibility information according to the coordinate information to be evaluated, the first measurement time information, a plurality of the measured geographic coordinate information, a plurality of the second measurement time information, and the detection speed information; A trusted coordinate information generating module: used to generate trusted coordinate information according to the coordinate information to be evaluated and the coordinate credibility information; Distribution network line distance information generation module: used to generate distribution network line distance information based on the multiple trusted coordinate information.

7. The system according to claim 6, characterized in that The system further comprises: A cable pressure value information acquisition module is used to acquire the cable pressure value information corresponding to each of the trusted coordinate information based on a preset pressure sensor; Cable pressure value information comparison module: used to compare the cable pressure value information with preset cable pressure threshold information; Abnormal pressure mark information generating module: used for generating abnormal pressure mark information if the cable pressure value information is greater than the cable pressure threshold information; A distribution network line path map information generation module is used to generate distribution network line path map information according to the multiple trusted coordinate information and the abnormal pressure mark information.

8. A terminal 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 method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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