Distribution cable branch box status monitoring system and method based on status recognition

Abstract

The present invention discloses a distribution cable branch box state monitoring system and method based on state recognition, which belongs to the field of measurement systems. The present invention imports the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis, and performs branch box abnormality warning according to the obtained branch box state abnormality analysis results, and reminds maintenance personnel to perform branch box maintenance, and comprehensively analyzes the operation status of the distribution cable by integrating the transmission data information of the distribution cable inside the cable branch box and the connection information of the distribution cable connection point, and then comprehensively evaluates the situation inside the cable branch box by integrating the cable operation status and the abnormal situation of the internal environment of the cable branch box, and performs early discovery and maintenance of faults generated inside the cable branch box, thereby improving the maintenance efficiency and safety of the cable branch box.

Description

Technical Field

[0001] The invention belongs to the field of measurement systems, and in particular relates to a distribution cable branch box state monitoring system and method based on state identification. Background Art

[0002] The main function of the distribution cable branch box is to branch or transfer cables. When a distribution line is relatively long, if many small-area cables are selected to transmit power, a lot of cables will be wasted. Therefore, when the distribution cable branch box is connected to the power load, the trunk cable is usually selected, and then when it is close to the load, the cable branch box is used to branch the trunk cable, and the trunk cable is divided into many small-area cables, and the small-area cables are connected to the load. At the same time, when the length of the cable cannot meet the requirements of the line, the distribution cable branch box is also used for cable transfer. The maintenance and inspection of the distribution cable branch box should be carried out in accordance with relevant regulations and requirements. Generally, the maintenance of the cable branch box is carried out at least once a year, mainly including cleaning the cable trench and terminal head, checking the cable and joint conditions, and checking whether the grounding welding is good. At the same time, it is also necessary to accumulate and organize the technical data of the distribution cable branch box for a long time in order to conduct fault analysis and prevention. The distribution cable branch box is an indispensable part of the distribution network. Its correct use and maintenance are crucial to ensure the normal operation and safety of the power system;

[0003] When monitoring the status of the distribution cable branch box, usually only individual data is monitored to see if they meet the maintenance index. It is impossible to comprehensively analyze the operation of the distribution cable by integrating the transmission data information of the distribution cable inside the cable branch box and the connection information of the distribution cable connection point, so it is impossible to comprehensively evaluate the situation inside the cable branch box by integrating the cable operation situation and the abnormal situation of the internal environment of the cable branch box, and thus it is impossible to discover and maintain the faults generated inside the cable branch box in advance, resulting in poor maintenance efficiency and safety of the cable branch box. Most of the existing technologies have the above problems;

[0004] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs a distribution cable branch box status monitoring system and method based on status recognition. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes a distribution cable branch box status monitoring system and method based on status identification.

[0006] To achieve the above object, the present invention provides the following technical solution: a distribution cable branch box status monitoring method based on status recognition, which includes the following specific steps:

[0007] Acquire the environmental data inside the box, and at the same time acquire the transmission data information of the distribution cable and the image information of the connection point of the distribution cable;

[0008] Cable anomaly analysis is performed by acquiring the transmission data information of the distribution cable and the image information of the connection of the distribution cable to obtain the cable anomaly analysis result;

[0009] Construct a branch box state abnormality analysis model, and import the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis;

[0010] Based on the abnormal analysis results of the branch box status, an abnormal warning of the branch box is issued, and the maintenance personnel are reminded to perform branch box maintenance.

[0011] As a preferred technical solution of the distribution cable branch box state monitoring method based on state recognition, the specific content of obtaining the environmental data inside the box and simultaneously obtaining the transmission data information of the distribution cable and the image information of the distribution cable connection is:

[0012] S11, acquiring real-time environmental change data inside the box through the environment collection terminal, wherein the real-time environmental change data is environmental temperature and environmental humidity data within a set period, and storing them in a first storage component;

[0013] In order to evaluate the impact of ambient temperature and ambient humidity data on the storage environment inside the distribution cable branch box within a set period, under low temperature conditions, the cable may become hard, resulting in reduced flexibility and easy breakage. In addition, low temperature may also affect the working performance of the capacitor, reduce its capacitance value, and thus affect the stability of the distribution system. High temperature will cause the aging of the insulation material inside the distribution box, reduce the insulation performance, and increase the risk of electrical failure; in addition, high temperature may also affect the service life and performance of electronic components. When the ambient humidity is too high, condensation may occur inside the distribution box, resulting in reduced insulation performance inside the equipment, thereby causing short circuits and other faults; in addition, high humidity may also accelerate the corrosion process inside the equipment and shorten the life of the equipment. When the ambient humidity is too low, static electricity may be generated on the surface of the distribution box, increasing the risk of fire. At the same time, low humidity may also cause the performance of electronic components inside the equipment to decline.

[0014] S12, collecting current and voltage data of each group of cables through the cable data collection terminal, and storing them in the second storage component;

[0015] S13. Collect image information of the connection point of the distribution cable through the image acquisition terminal, and store it in the third storage component.

[0016] As a preferred technical solution of the distribution cable branch box status monitoring method based on status recognition, the cable abnormality analysis is performed by acquiring the transmission data information of the distribution cable and the image information of the distribution cable connection, and obtaining the cable abnormality analysis result includes the following specific steps:

[0017] S21, constructing a transmission data anomaly assessment model, obtaining the transmission data information of the distribution cable within a set period and importing it into the constructed transmission data anomaly assessment model to perform transmission data anomaly assessment;

[0018] S22, constructing a cable skin abnormality assessment model, obtaining image information of the distribution cable connection point and importing it into the constructed cable skin abnormality assessment model to perform cable skin abnormality assessment;

[0019] S23. Perform cable anomaly analysis by acquiring the transmission data anomaly assessment result and the cable skin anomaly assessment result to obtain a cable anomaly analysis result.

[0020] As a preferred technical solution of the distribution cable branch box state monitoring method based on state recognition, the construction of the transmission data anomaly assessment model, obtaining the transmission data information of the distribution cable within a set period and importing it into the constructed transmission data anomaly assessment model for transmission data anomaly assessment includes the following specific steps:

[0021] S211, obtaining the transmission data information of the distribution cable within a set period, and importing the obtained transmission data information of the distribution cable into the transmission abnormal value calculation formula to calculate the transmission abnormal value, wherein the transmission abnormal value calculation formula of the bth distribution cable is: , where n is the type of transmission data information, ai is the proportion coefficient of the i-th type of transmission data information, T is the duration of the set cycle, Xit is the data of the i-th type of transmission data information at time t, Xim is the standard data of the i-th type of transmission data information, and dt is the time integral;

[0022] Through this step, the transmission data information of the distribution cable is obtained, and the abnormality of the data in the transmission process is obtained by analyzing the difference between the transmission data information and the standard data;

[0023] S212, importing the obtained transmission data information of the distribution cable into the transmission fluctuation value calculation formula to calculate the transmission fluctuation value, wherein the transmission fluctuation value calculation formula of the b-th distribution cable is: ,in, is the data of the i-th type of transmitted data information at time t-1;

[0024] S213, substituting the calculated distribution cable transmission abnormal value and distribution cable transmission fluctuation value into the transmission data abnormal value calculation formula to calculate the transmission data abnormal value, wherein the b-th distribution cable transmission data abnormal value calculation formula is: in, is the proportion of transmission anomalies;

[0025] Through this step, a comprehensive analysis is conducted on the distribution cable transmission anomalies and distribution cable transmission fluctuations, thereby improving the accuracy of judging the cable transmission data anomalies.

[0026] As a preferred technical solution of the distribution cable branch box state monitoring method based on state recognition, the construction of the cable skin abnormality assessment model, obtaining the image information of the distribution cable connection point and importing it into the constructed cable skin abnormality assessment model to perform cable skin abnormality assessment includes the following specific contents:

[0027] S221, obtaining pixel value data of the pixel points of the image at the connection point of the distribution cable;

[0028] S222, importing the obtained pixel value data of the image at the connection point of the distribution cable into the image anomaly evaluation value calculation formula to calculate the image anomaly evaluation value, wherein the image anomaly evaluation value calculation formula for the b-th distribution cable is: , where N is the number of pixels in the image at the b-th distribution cable connection, Sjc is the pixel value of the j-th pixel at the b-th distribution cable connection, Sj is the pixel value of the initial state of the j-th pixel at the b-th distribution cable connection, and kj is the distance from the j-th pixel at the b-th distribution cable connection to the connection point.

[0029] As a preferred technical solution of the distribution cable branch box state monitoring method based on state recognition, the cable abnormality analysis is performed by acquiring the transmission data abnormality evaluation results and the cable skin abnormality evaluation results, and the cable abnormality analysis results obtained include the following specific contents:

[0030] The calculated transmission data anomaly values ​​of each distribution cable and the image anomaly evaluation value of the distribution cable are obtained, and the obtained transmission data anomaly values ​​of the distribution cable and the image anomaly evaluation value of the distribution cable are introduced into the cable anomaly analysis value calculation formula to calculate the cable anomaly analysis value, wherein the calculation formula for the bth distribution cable anomaly analysis value is: ,in, It is the proportion of cable transmission anomalies.

[0031] Through this step, the transmission data information of the distribution cable inside the cable branch box and the connection information of the distribution cable connection are comprehensively analyzed to analyze the operation status of the distribution cable;

[0032] As a preferred technical solution of the distribution cable branch box state monitoring method based on state recognition, the construction of the branch box state abnormality analysis model, importing the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis includes the following specific contents:

[0033] S31, obtaining the internal environment data of the box, and importing the internal environment data of the box into the environment abnormal value calculation formula to calculate the environment abnormal value, wherein the environment abnormal value calculation formula is: , where Fwd is the internal temperature value of the box, Fwdm is the median value of the internal temperature safety range of the box, Fwdmax is the maximum value of the internal temperature safety range of the box, and Fwdmin is the minimum value of the internal temperature safety range of the box;

[0034] S32, substituting the obtained environmental abnormality value, distribution cable abnormality analysis value and each cable load power into the branch box state abnormality analysis value calculation formula to calculate the branch box state abnormality analysis value, wherein the branch box state abnormality analysis value calculation formula is: , where D is the number of distribution cables in the branch box, Pv is the load power of the vth cable, Pm is the standard power of the cable load, Wv is the abnormal analysis value of the vth distribution cable, and exp() is the exponential power of the natural constant e.

[0035] Through this step, the cable operation status and abnormal internal environment of the cable branch box are comprehensively evaluated to evaluate the internal conditions of the cable branch box, and faults inside the cable branch box are discovered and maintained in advance.

[0036] As a preferred technical solution of the distribution cable branch box state monitoring method based on state recognition, the branch box abnormality warning is performed according to the obtained branch box state abnormality analysis result, and the maintenance personnel are reminded to perform branch box maintenance, which includes the following specific contents:

[0037] The calculated branch box status abnormal analysis value is compared with the set branch box status abnormal analysis threshold. If the obtained branch box status abnormal analysis value is greater than or equal to the set branch box status abnormal analysis threshold, a branch box abnormal status warning is issued, and the maintenance personnel are reminded to perform branch box maintenance; if the obtained branch box status abnormal analysis value is less than the set branch box status abnormal analysis threshold, it is prompted that the branch box operation status is normal.

[0038] A distribution cable branch box state monitoring system based on state recognition, which is implemented based on the above-mentioned distribution cable branch box state monitoring method based on state recognition, and specifically includes a data acquisition module, a cable anomaly analysis module, a state anomaly analysis module, an anomaly warning module and a master control module;

[0039] The data acquisition module is used to acquire the environmental data inside the box, and at the same time acquire the transmission data information of the distribution cable and the image information of the connection point of the distribution cable;

[0040] The cable anomaly analysis module is used to perform cable anomaly analysis by acquiring the transmission data information of the distribution cable and the image information of the connection of the distribution cable to obtain the cable anomaly analysis result;

[0041] The state abnormality analysis module is used to construct a branch box state abnormality analysis model, and import the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis;

[0042] The abnormal warning module is used to issue an abnormal warning for the branch box according to the abnormal analysis result of the branch box status, and remind the maintenance personnel to perform branch box maintenance;

[0043] The master control module is used for controlling the operation of the data acquisition module, the cable anomaly analysis module, the state anomaly analysis module and the anomaly warning module.

[0044] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0045] The processor executes the above-mentioned distribution cable branch box status monitoring method based on status identification by calling the computer program stored in the memory.

[0046] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned distribution cable branch box status monitoring method based on status identification.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] The environmental data inside the box is obtained, and the transmission data information of the distribution cable and the image information of the distribution cable connection are obtained at the same time. The cable abnormality analysis is performed by obtaining the transmission data information of the distribution cable and the image information of the distribution cable connection, and the cable abnormality analysis results are obtained. A branch box state abnormality analysis model is constructed, and the obtained cable abnormality analysis results and the environmental data inside the box are imported into the branch box state abnormality analysis model to perform branch box state abnormality analysis. According to the obtained branch box state abnormality analysis results, a branch box abnormality warning is performed, and the maintenance personnel are reminded to perform branch box maintenance. The operation status of the distribution cable is comprehensively analyzed by integrating the transmission data information of the distribution cable inside the cable branch box and the connection information of the distribution cable connection. Then, the cable operation status and the abnormal conditions of the environment inside the cable branch box are comprehensively evaluated to detect and maintain the faults inside the cable branch box in advance, thereby improving the maintenance efficiency and safety of the cable branch box. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the overall process of the distribution cable branch box state monitoring method based on state identification of the present invention;

[0050] Figure 2 It is a schematic diagram of step S2 of the distribution cable branch box state monitoring method based on state recognition of the present invention;

[0051] Figure 3 It is a schematic diagram of step S21 of the distribution cable branch box state monitoring method based on state recognition of the present invention;

[0052] Figure 4 It is a schematic diagram of the overall framework of the distribution cable branch box state monitoring system based on state recognition of the present invention;

[0053] Figure 5 It is a schematic diagram of data transmission according to the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0055] Example 1

[0056] In order to solve the technical problems raised in the background technology, the present invention provides a preferred embodiment: First, the application scenario of this embodiment is described here: Figure 5As shown, the data acquisition terminal acquires the environmental data inside the box, and simultaneously acquires the transmission data information of the distribution cable and the image information of the distribution cable connection, and transmits the acquired data to the abnormal state analysis terminal. The abnormal state analysis terminal performs cable abnormality analysis by acquiring the transmission data information of the distribution cable and the image information of the distribution cable connection, and obtains the cable abnormality analysis result, and then constructs a branch box state abnormality analysis model, imports the acquired cable abnormality analysis result and the internal environmental data of the box into the branch box state abnormality analysis model to perform branch box state abnormality analysis, and transmits the warning information to the warning terminal. The warning terminal performs branch box abnormality warning according to the acquired branch box state abnormality analysis result, and reminds the maintenance personnel to perform branch box maintenance;

[0057] like Figure 1 - Figure 3 As shown, a distribution cable branch box state monitoring method based on state recognition includes the following specific steps:

[0058] S1. Acquire the environmental data inside the box, and at the same time acquire the transmission data information of the distribution cable and the image information of the connection point of the distribution cable;

[0059] In a specific embodiment, the specific contents of obtaining the environmental data inside the box and simultaneously obtaining the transmission data information of the distribution cable and the image information of the connection point of the distribution cable are:

[0060] S11, acquiring real-time environmental change data inside the box through the environment collection terminal, wherein the real-time environmental change data is environmental temperature and environmental humidity data within a set period, and storing them in a first storage component;

[0061] In order to evaluate the impact of ambient temperature and ambient humidity data on the storage environment inside the distribution cable branch box within a set period, under low temperature conditions, the cable may become hard, resulting in reduced flexibility and easy breakage. In addition, low temperature may also affect the working performance of the capacitor, reduce its capacitance value, and thus affect the stability of the distribution system. High temperature will cause the aging of the insulation material inside the distribution box, reduce the insulation performance, and increase the risk of electrical failure; in addition, high temperature may also affect the service life and performance of electronic components (such as capacitors, inductors, etc.). When the ambient humidity is too high, condensation may occur inside the distribution box, resulting in reduced insulation performance inside the equipment, thereby causing short circuits and other faults; in addition, high humidity may also accelerate the corrosion process inside the equipment and shorten the life of the equipment. When the ambient humidity is too low, static electricity may be generated on the surface of the distribution box, increasing the risk of fire. At the same time, low humidity may also cause the performance of electronic components inside the equipment to deteriorate;

[0062] S12, collecting current and voltage data of each group of cables through the cable data collection terminal, and storing them in the second storage component;

[0063] The current and voltage data of each group of cables are important indicators reflecting the operation of the cables. By analyzing these data, we can understand the operation status, performance and possible problems of the cables.

[0064] First, the current data can reflect the load of the cable. If the current value exceeds the rated current carrying capacity of the cable, it may cause problems such as cable overheating and insulation aging, and even cause fire in serious cases. Therefore, monitoring and analyzing current data is the key to ensuring the safe operation of the cable;

[0065] Secondly, voltage data can reflect the electrical performance of the cable. If the voltage fluctuates too much or is unstable, it may affect the normal operation of electrical equipment or even damage the equipment. At the same time, voltage data can also be used to determine whether there is an electrical fault in the cable, such as insulation breakdown, line short circuit, etc.

[0066] Through comprehensive analysis of current and voltage data, abnormal conditions and potential risks in cable operation can be discovered. For example, if the current data is continuously high, it may indicate that the cable is overloaded; if the voltage data fluctuates too much, it may indicate that the cable has electrical faults or poor contact.

[0067] S13, collecting image information of the connection point of the distribution cable through the image acquisition terminal, and storing it in the third storage component;

[0068] S2, performing cable anomaly analysis by acquiring the transmission data information of the distribution cable and the image information of the connection point of the distribution cable to obtain the cable anomaly analysis result;

[0069] In a specific embodiment, the cable abnormality analysis is performed by acquiring the transmission data information of the distribution cable and the image information of the connection of the distribution cable, and obtaining the cable abnormality analysis result includes the following specific steps:

[0070] S21, constructing a transmission data anomaly assessment model, obtaining the transmission data information of the distribution cable within a set period and importing it into the constructed transmission data anomaly assessment model to perform transmission data anomaly assessment;

[0071] In a specific embodiment, constructing a transmission data anomaly assessment model, obtaining transmission data information of a distribution cable within a set period and importing it into the constructed transmission data anomaly assessment model to perform transmission data anomaly assessment includes the following specific steps:

[0072] S211, obtaining the transmission data information of the distribution cable within a set period, and importing the obtained transmission data information of the distribution cable into the transmission abnormal value calculation formula to calculate the transmission abnormal value, wherein the transmission abnormal value calculation formula of the bth distribution cable is: , where n is the type of transmission data information, ai is the proportion coefficient of the i-th type of transmission data information, T is the duration of the set cycle, Xit is the data of the i-th type of transmission data information at time t, Xim is the standard data of the i-th type of transmission data information, and dt is the time integral;

[0073] S212, importing the obtained transmission data information of the distribution cable into the transmission fluctuation value calculation formula to calculate the transmission fluctuation value, wherein the transmission fluctuation value calculation formula of the b-th distribution cable is: ,in, The data of the i-th type of transmitted data information at time t-1;

[0074] S213, substituting the calculated distribution cable transmission abnormal value and distribution cable transmission fluctuation value into the transmission data abnormal value calculation formula to calculate the transmission data abnormal value, wherein the b-th distribution cable transmission data abnormal value calculation formula is: in, is the proportion of transmission anomalies;

[0075] S22, constructing a cable skin abnormality assessment model, obtaining image information of the distribution cable connection point and importing it into the constructed cable skin abnormality assessment model to perform cable skin abnormality assessment;

[0076] In a specific embodiment, constructing a cable skin abnormality assessment model, obtaining image information of the distribution cable connection point and importing it into the constructed cable skin abnormality assessment model to perform cable skin abnormality assessment includes the following specific contents:

[0077] S221, obtaining pixel value data of the pixel points of the image at the connection point of the distribution cable;

[0078] S222, importing the obtained pixel value data of the image at the connection point of the distribution cable into the image anomaly evaluation value calculation formula to calculate the image anomaly evaluation value, wherein the image anomaly evaluation value calculation formula for the b-th distribution cable is: , where N is the number of pixels of the image at the b-th distribution cable connection, Sjc is the pixel value of the j-th pixel at the b-th distribution cable connection, Sj is the pixel value of the initial state of the j-th pixel at the b-th distribution cable connection, and kj is the distance from the j-th pixel at the b-th distribution cable connection to the connection point;

[0079] S23, performing cable anomaly analysis by acquiring the transmission data anomaly assessment result and the cable skin anomaly assessment result, to obtain a cable anomaly analysis result;

[0080] In a specific embodiment, the cable anomaly analysis is performed by acquiring the transmission data anomaly evaluation result and the cable skin anomaly evaluation result, and the cable anomaly analysis result includes the following specific contents:

[0081] The calculated transmission data anomaly values ​​of each distribution cable and the image anomaly evaluation value of the distribution cable are obtained, and the obtained transmission data anomaly values ​​of the distribution cable and the image anomaly evaluation value of the distribution cable are introduced into the cable anomaly analysis value calculation formula to calculate the cable anomaly analysis value, wherein the calculation formula for the bth distribution cable anomaly analysis value is: ,in, The percentage of abnormal cable transmission;

[0082] S3, constructing a branch box state abnormality analysis model, importing the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis;

[0083] In a specific embodiment, constructing a branch box state abnormality analysis model, importing the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis includes the following specific contents:

[0084] S31, obtaining the internal environment data of the box, and importing the internal environment data of the box into the environment abnormal value calculation formula to calculate the environment abnormal value, wherein the environment abnormal value calculation formula is: , where Fwd is the internal temperature value of the box, Fwdm is the median value of the internal temperature safety range of the box, Fwdmax is the maximum value of the internal temperature safety range of the box, and Fwdmin is the minimum value of the internal temperature safety range of the box;

[0085] S32, substituting the obtained environmental abnormality value, distribution cable abnormality analysis value and each cable load power into the branch box state abnormality analysis value calculation formula to calculate the branch box state abnormality analysis value, wherein the branch box state abnormality analysis value calculation formula is: , where D is the number of distribution cables in the branch box, Pv is the load power of the vth cable, Pm is the standard power of the cable load, Wv is the abnormal analysis value of the vth distribution cable, and exp() is the exponential power of the natural constant e;

[0086] S4. According to the abnormal analysis result of the branch box status, an abnormal warning of the branch box is issued, and the maintenance personnel are reminded to perform maintenance on the branch box;

[0087] In a specific embodiment, the branch box abnormality warning is performed according to the obtained branch box status abnormality analysis result, and the maintenance personnel are reminded to perform branch box maintenance, which includes the following specific contents:

[0088] The calculated branch box status abnormal analysis value is compared with the set branch box status abnormal analysis threshold. If the obtained branch box status abnormal analysis value is greater than or equal to the set branch box status abnormal analysis threshold, a branch box abnormal status warning is issued, and the maintenance personnel are reminded to perform branch box maintenance; if the obtained branch box status abnormal analysis value is less than the set branch box status abnormal analysis threshold, it is prompted that the branch box operation status is normal.

[0089] It should be noted here that the values ​​of the transmission anomaly ratio, the ratio coefficient of the i-th transmission data information type, the cable transmission anomaly ratio, the cable load standard power and the branch box status abnormality analysis threshold are determined as follows: 500 sets of environmental data inside the box are obtained, and at the same time, the transmission data information of the distribution cable and the image information of the distribution cable connection are obtained, and the data are substituted into the branch box status abnormality analysis value calculation formula to calculate the branch box status abnormality analysis value, and whether the box in the next cycle has a fault is obtained. The branch box status abnormality analysis value and the judgment result of whether the box in the next cycle has a fault are imported into the fitting software, and the values ​​of the transmission anomaly ratio, the ratio coefficient of the i-th transmission data information type, the cable transmission anomaly ratio, the cable load standard power and the branch box status abnormality analysis threshold that meet the maximum fault judgment accuracy are output.

[0090] The advantages of this embodiment over the prior art are as follows: obtaining environmental data inside the box, and simultaneously obtaining transmission data information of the distribution cable and image information of the distribution cable connection, performing cable abnormality analysis by obtaining the transmission data information of the distribution cable and the image information of the distribution cable connection, obtaining cable abnormality analysis results, constructing a branch box state abnormality analysis model, importing the obtained cable abnormality analysis results and the environmental data inside the box into the branch box state abnormality analysis model to perform branch box state abnormality analysis, performing branch box abnormality warning based on the obtained branch box state abnormality analysis results, and reminding maintenance personnel to perform branch box maintenance, performing a comprehensive analysis of the operation of the distribution cable by integrating the transmission data information of the distribution cable inside the cable branch box and the connection information of the distribution cable connection, and then comprehensively evaluating the situation inside the cable branch box by integrating the cable operation situation and the abnormal situation of the environment inside the cable branch box, and performing early detection and maintenance of faults generated inside the cable branch box, thereby improving the maintenance efficiency and safety of the cable branch box.

[0091] Example 2

[0092] like Figure 4 As shown, a distribution cable branch box state monitoring system based on state identification is implemented based on the above-mentioned distribution cable branch box state monitoring method based on state identification, which specifically includes a data acquisition module, a cable abnormality analysis module, a state abnormality analysis module, an abnormality warning module and a master control module;

[0093] Among them, the data acquisition module is used to obtain the environmental data inside the box, and at the same time obtain the transmission data information of the distribution cable and the image information of the distribution cable connection; the cable abnormality analysis module is used to perform cable abnormality analysis by acquiring the transmission data information of the distribution cable and the image information of the distribution cable connection, and obtain the cable abnormality analysis results; the state abnormality analysis module is used to construct a branch box state abnormality analysis model, and import the acquired cable abnormality analysis results and the internal environmental data of the box into the branch box state abnormality analysis model to perform branch box state abnormality analysis; the abnormal warning module is used to issue a branch box abnormality warning based on the obtained branch box state abnormality analysis results, and remind maintenance personnel to perform branch box maintenance; the master control module is used to control the operation of the data acquisition module, the cable abnormality analysis module, the state abnormality analysis module and the abnormal warning module.

[0094] Example 3

[0095] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0096] The processor executes the above-mentioned distribution cable branch box status monitoring method based on status identification by calling the computer program stored in the memory.

[0097] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the distribution cable branch box status monitoring method based on status identification provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface to input and output data. This embodiment will not be described in detail here.

[0098] Example 4

[0099] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0100] When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned distribution cable branch box status monitoring method based on status identification.

[0101] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0102] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A distribution cable branch box status monitoring method based on status recognition, characterized in that: It includes the following specific steps: S1. Acquire the environmental data inside the box, and at the same time acquire the transmission data information of the distribution cable and the image information of the connection point of the distribution cable; S2, performing cable anomaly analysis by acquiring the transmission data information of the distribution cable and the image information of the connection point of the distribution cable to obtain the cable anomaly analysis result; S3, constructing a branch box state abnormality analysis model, importing the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis; S4. According to the abnormal analysis result of the branch box status, an abnormal warning of the branch box is issued, and the maintenance personnel are reminded to perform maintenance on the branch box; The cable abnormality analysis is performed by acquiring the transmission data information of the distribution cable and the image information of the connection point of the distribution cable to obtain the cable abnormality analysis result, which includes the following specific steps: S21, constructing a transmission data anomaly assessment model, obtaining the transmission data information of the distribution cable within a set period and importing it into the constructed transmission data anomaly assessment model to perform transmission data anomaly assessment; S22, constructing a cable skin abnormality assessment model, obtaining image information of the distribution cable connection point and importing it into the constructed cable skin abnormality assessment model to perform cable skin abnormality assessment; S23, performing cable anomaly analysis by acquiring the transmission data anomaly assessment result and the cable skin anomaly assessment result, to obtain a cable anomaly analysis result; The construction of the branch box state abnormality analysis model and importing the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis include the following specific contents: S31, obtaining the internal environment data of the box, and importing the internal environment data of the box into the environment abnormal value calculation formula to calculate the environment abnormal value, wherein the environment abnormal value calculation formula is: , where Fwd is the internal temperature value of the box, Fwdm is the median value of the internal temperature safety range of the box, Fwdmax is the maximum value of the internal temperature safety range of the box, and Fwdmin is the minimum value of the internal temperature safety range of the box; S32, substituting the obtained environmental abnormality value, distribution cable abnormality analysis value and each cable load power into the branch box state abnormality analysis value calculation formula to calculate the branch box state abnormality analysis value, wherein the branch box state abnormality analysis value calculation formula is: , where D is the number of distribution cables in the branch box, Pv is the load power of the vth cable, Pm is the standard power of the cable load, Wv is the abnormal analysis value of the vth distribution cable, and exp() is the exponential power of the natural constant e; The construction of the branch box state abnormality analysis model and importing the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis include the following specific contents: The branch box abnormality warning according to the obtained branch box status abnormality analysis result and the reminder of the maintenance personnel to perform branch box maintenance include the following specific contents: The calculated branch box status abnormal analysis value is compared with the set branch box status abnormal analysis threshold. If the obtained branch box status abnormal analysis value is greater than or equal to the set branch box status abnormal analysis threshold, a branch box abnormal status warning is issued, and the maintenance personnel are reminded to perform branch box maintenance; if the obtained branch box status abnormal analysis value is less than the set branch box status abnormal analysis threshold, it is prompted that the branch box operation status is normal.

2. The method for monitoring the state of a distribution cable branch box based on state recognition according to claim 1, characterized in that: The construction of the transmission data anomaly assessment model, obtaining the transmission data information of the distribution cable within a set period and importing it into the constructed transmission data anomaly assessment model to perform transmission data anomaly assessment includes the following specific steps: S211, obtaining the transmission data information of the distribution cable within a set period, and importing the obtained transmission data information of the distribution cable into the transmission abnormal value calculation formula to calculate the transmission abnormal value, wherein the transmission abnormal value calculation formula of the bth distribution cable is: , where n is the type of transmission data information, ai is the proportion coefficient of the i-th type of transmission data information, T is the duration of the set cycle, Xit is the data of the i-th type of transmission data information at time t, Xim is the standard data of the i-th type of transmission data information, and dt is the time integral; S212, importing the obtained transmission data information of the distribution cable into the transmission fluctuation value calculation formula to calculate the transmission fluctuation value, wherein the transmission fluctuation value calculation formula of the b-th distribution cable is: ,in, The data of the i-th type of transmitted data information at time t-1; S213, substituting the calculated distribution cable transmission abnormal value and distribution cable transmission fluctuation value into the transmission data abnormal value calculation formula to calculate the transmission data abnormal value, wherein the b-th distribution cable transmission data abnormal value calculation formula is: in, It is the transmission anomaly ratio.

3. The distribution cable branch box status monitoring method based on status recognition according to claim 2 is characterized in that: The construction of the cable skin abnormality assessment model, obtaining the image information of the distribution cable connection point and importing it into the constructed cable skin abnormality assessment model to perform cable skin abnormality assessment includes the following specific contents: S221, obtaining pixel value data of the pixel points of the image at the connection point of the distribution cable; S222, importing the obtained pixel value data of the image at the connection point of the distribution cable into the image anomaly evaluation value calculation formula to calculate the image anomaly evaluation value, wherein the image anomaly evaluation value calculation formula for the b-th distribution cable is: , where N is the number of pixels in the image at the b-th distribution cable connection, Sjc is the pixel value of the j-th pixel at the b-th distribution cable connection, Sj is the pixel value of the initial state of the j-th pixel at the b-th distribution cable connection, and kj is the distance from the j-th pixel at the b-th distribution cable connection to the connection point.

4. The distribution cable branch box status monitoring method based on status recognition according to claim 3 is characterized in that: The cable abnormality analysis is performed by acquiring the transmission data abnormality evaluation result and the cable skin abnormality evaluation result, and the cable abnormality analysis result includes the following specific contents: The calculated transmission data anomaly values ​​of each distribution cable and the image anomaly evaluation value of the distribution cable are obtained, and the obtained transmission data anomaly values ​​of the distribution cable and the image anomaly evaluation value of the distribution cable are introduced into the cable anomaly analysis value calculation formula to calculate the cable anomaly analysis value, wherein the calculation formula for the bth distribution cable anomaly analysis value is: ,in, It is the proportion of cable transmission anomalies.

5. A distribution cable branch box status monitoring system based on status identification, which is implemented based on the distribution cable branch box status monitoring method based on status identification as claimed in any one of claims 1 to 4, characterized in that: It specifically includes a data acquisition module, a cable anomaly analysis module, a state anomaly analysis module, an anomaly warning module and a master control module; The data acquisition module is used to acquire the environmental data inside the box, and at the same time acquire the transmission data information of the distribution cable and the image information of the connection point of the distribution cable; The cable anomaly analysis module is used to perform cable anomaly analysis by acquiring the transmission data information of the distribution cable and the image information of the connection of the distribution cable to obtain the cable anomaly analysis result; The state abnormality analysis module is used to construct a branch box state abnormality analysis model, and import the obtained cable abnormality analysis results and the box internal environment data into the branch box state abnormality analysis model to perform branch box state abnormality analysis; The abnormal warning module is used to issue an abnormal warning for the branch box according to the abnormal analysis result of the branch box status, and remind the maintenance personnel to perform branch box maintenance; The master control module is used for controlling the operation of the data acquisition module, the cable anomaly analysis module, the state anomaly analysis module and the anomaly warning module.

6. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the distribution cable branch box status monitoring method based on status identification as described in any one of claims 1 to 4 by calling the computer program stored in the memory.

7. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the distribution cable branch box status monitoring method based on status identification as described in any one of claims 1 to 4.

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