A terminal equipment management system for power distribution system

Abstract

The present invention relates to the field of terminal management technology, and specifically discloses a terminal equipment management system for a power distribution system, which is used to solve the problem that in the actual operation of existing power cable lines, the complex electromagnetic environment in the switch cabinet of the switch station will cause certain interference to the operation of the equipment; the present invention obtains the temperature characteristic information of the cable joint, obtains the temperature health distribution coefficient of the cable joint according to the temperature characteristic information analysis, obtains the electromagnetic strength information of the cable joint, obtains the first fluctuation parameter of the cable joint according to the electromagnetic strength information analysis, constructs an interference factor analysis model of the cable joint, inputs the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model, calculates the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve, quantifies the health status of the cable joint, and realizes early fault warning and intelligent management of the cable joint.

Description

Technical Field

[0001] The present invention relates to the technical field of terminal management, and more specifically, to a terminal equipment management system for a power distribution system. Background Art

[0002] The operating status and health status of power cables are directly related to the safe and stable operation of the distribution network. The cable joint is the weakest link in the cable insulation, and its failure accounts for a high proportion of cable failures. Temperature is one of the decisive factors affecting the insulation performance and service life of cable joints. Due to the thick insulation layer and contact resistance, the conductor temperature of the cable joint is often much higher than that of the cable body, which is the bottleneck of cable thermal aging. The perception and calculation of the cable joint temperature is of great significance to ensure the power supply reliability of the cable line.

[0003] In the existing literature (Xie Zhenlin. Simulation of temperature field of cable joints on the distribution side and development of online temperature monitoring system [D]. Guangxi University, 2022. DOI: 10.27034 / d.cnki.ggxiu.2022.001087), based on NB-IoT wireless communication technology, a cable joint temperature online monitoring system was developed to perform real-time monitoring of the middle joints in the cable trench and the T-joints in the switchgear. In view of the reasonable layout of temperature sensors, a finite element simulation analysis of the temperature field was carried out to realize online monitoring of the cable joint temperature. A reasonable solution for the layout of temperature measuring equipment was provided through temperature field analysis, which solved the practical problem of cable joint temperature monitoring to a certain extent and had certain engineering application value. However, in the actual operation of power cable lines, due to the complex electromagnetic environment in the switch cabinet of the switchgear, it will cause certain interference to the operation of the equipment. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a terminal equipment management system for a power distribution system, which is used to solve the problem that in the actual operation of the power cable line, the complex electromagnetic environment in the switch cabinet of the switch station may cause certain interference to the operation of the equipment, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A terminal equipment management system for a power distribution system includes a temperature monitoring and analysis module, an electromagnetic environment monitoring and management module, and an interference fluctuation analysis module. The temperature monitoring and analysis module obtains temperature characteristic information of a cable joint, and obtains a temperature health distribution coefficient of the cable joint according to the temperature characteristic information analysis; the electromagnetic environment monitoring and management module includes a cable distribution data monitoring unit, an intensity parameter measurement unit, an electromagnetic fluctuation parameter calculation unit, and a fluctuation parameter comprehensive analysis unit; the cable distribution data monitoring unit is used to obtain first electromagnetic intensity information of the cable joint in a normal state by arranging a Hall sensor at the cable joint, and to monitor and obtain second electromagnetic intensity information of the cable joint in real time; the intensity parameter measurement unit is used to measure and record the first intensity parameter at the cable joint according to the second electromagnetic intensity information, including: the first time integral of the second electric field intensity of the cable joint and the first time integral of the second magnetic field intensity of the cable joint; the electromagnetic fluctuation parameter calculation unit is used to import the second electric field intensity and the second magnetic field intensity into an electromagnetic fluctuation coefficient calculation formula to calculate the electromagnetic fluctuation coefficient, and the electromagnetic fluctuation coefficient calculation formula is:

[0007] ;

[0008] Where: is the electromagnetic wave coefficient, is the maximum value of the second electric field strength during the monitoring period, is the minimum value of the second electric field strength during the monitoring period, is the average value of the second electric field strength during the monitoring period, is the maximum value of the second electromagnetic intensity during the monitoring period, is the minimum value of the second electromagnetic intensity during the monitoring period, is the average value of the second magnetic field strength during the monitoring period.

[0009] The fluctuation parameter comprehensive analysis unit is used to construct a first fluctuation parameter calculation model to calculate the first fluctuation parameter according to the electromagnetic fluctuation coefficient, the first time integral of the second electric field strength, and the first time integral of the second magnetic field strength. The formula of the first fluctuation parameter calculation model is:

[0010] ;

[0011] Where: is the first fluctuation parameter, is the electromagnetic wave coefficient, is the first time integral of the second electric field strength, is the first time integral of the second magnetic field strength.

[0012] As a further solution of the present invention, the temperature monitoring and analysis module includes a temperature acquisition unit and a temperature health analysis unit; the temperature acquisition unit is connected to the temperature health analysis unit.

[0013] The temperature acquisition unit is used to periodically scan the cable joint through an infrared thermal imager to generate a temperature field distribution image, and obtain the temperature characteristic information of the cable joint based on the temperature field distribution image; the temperature characteristic information is the temperature values ​​of the cable connection head arranged in order from large to small, and the obtained temperature sequence is the temperature characteristic information.

[0014] The temperature health analysis coefficient calculation unit is used to construct a temperature characteristic analysis model according to the temperature characteristic information to analyze and obtain the temperature health distribution coefficient of the cable joint. The formula of the temperature characteristic analysis model is:

[0015] ;

[0016] Where: is the temperature health distribution coefficient of the cable joint, is the number of data in the temperature characteristic information, is the temperature characteristic information ranked as the i-th, is the mean value of the temperature characteristic information.

[0017] As a further solution of the present invention, the cable distribution data monitoring unit is used to obtain the first electromagnetic strength information of the cable joint under the normal state by arranging a Hall sensor at the cable joint, and to monitor and obtain the second electromagnetic strength information of the cable joint in real time; the first electromagnetic strength information includes the first electric field strength and the first magnetic field strength; the second electromagnetic strength information includes the second electric field strength and the second magnetic field strength; the first electric field strength is obtained by obtaining the electric field strength value in the monitoring period under the normal state, and calculating the mean value according to the electric field strength value to obtain the first electric field strength; the first magnetic field strength is obtained by obtaining the magnetic field strength value in the monitoring period under the normal state, and calculating the mean value according to the magnetic field strength value to obtain the first magnetic field strength; the second electric field strength is obtained by real-time monitoring the electric field strength fluctuation value at the cable joint, the electric field strength fluctuation value is calculated by the difference between the electric field strength value at time t+1 and the electric field strength value at time t in the monitoring period, and the sum of the electric field strength fluctuation value at time t and the first electric field strength is the second electric field strength at time t, that is:

[0018] ;

[0019] Where: is the second electric field intensity varying with time t, is the first electric field strength, is the electric field intensity fluctuation value at time t, are the electric field strength value at time t+1 and the electric field strength value at time t within the monitoring period;

[0020] The second magnetic field strength is obtained by real-time monitoring of the magnetic field fluctuation value at the cable joint. The magnetic field fluctuation value is calculated by the difference between the magnetic field strength value at time t+1 and the magnetic field strength value at time t within the monitoring period. The sum of the magnetic field strength fluctuation value at time t and the second magnetic field strength is the second magnetic field strength at time t, that is:

[0021] ;

[0022] Where: is the second magnetic field intensity varying with time t, is the first magnetic field strength, is the magnetic field intensity fluctuation value at time t, are the magnetic field strength value at time t+1 and the magnetic field strength value at time t within the monitoring period.

[0023] As a further solution of the present invention, an interference fluctuation analysis module is used to construct an interference factor analysis model of the cable joint, input the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model, and draw several temperature fluctuation curves of the cable joint, and calculate the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve; the interference fluctuation analysis module includes an interference analysis unit, a temperature fluctuation curve drawing unit and a temperature fluctuation coefficient calculation unit; the interference analysis unit is connected to the temperature fluctuation curve drawing unit, and the temperature fluctuation curve drawing unit is connected to the temperature fluctuation coefficient calculation unit.

[0024] As a further solution of the present invention, the interference analysis unit is used to construct an interference factor analysis model of the cable joint, and the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint are input into the interference factor analysis model to calculate the interference factor. The formula of the interference factor analysis model is:

[0025] ;

[0026] Where: is the interference factor, is the weight coefficient of the first fluctuation parameter, is the weight coefficient of the temperature health distribution coefficient, is the first fluctuation parameter of the cable joint, is the temperature health distribution coefficient of the cable joint.

[0027] As a further solution of the present invention, the temperature fluctuation coefficient calculation unit is used to calculate the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve, and by extracting the maximum value and the minimum value in each temperature fluctuation curve, a temperature fluctuation coefficient analysis model is constructed to calculate the temperature fluctuation coefficient. The formula of the temperature fluctuation coefficient analysis model is:

[0028] ;

[0029] Where: is the temperature fluctuation coefficient, is the interference factor, is the number of temperature fluctuation curves, is the maximum value in the jth temperature fluctuation curve, is the minimum value in the jth temperature fluctuation curve, is the average value of the maximum values ​​of each temperature fluctuation curve, It is the average of the minimum values ​​of each temperature fluctuation curve; if the temperature fluctuation coefficient is compared with the preset temperature fluctuation coefficient threshold, if the temperature fluctuation coefficient is greater than or equal to the preset temperature fluctuation coefficient threshold, it will interfere with the operation of the equipment; if the temperature fluctuation coefficient is less than the preset temperature fluctuation coefficient threshold, it will not interfere with the operation of the equipment.

[0030] The technical effects and advantages of a terminal equipment management system for a power distribution system of the present invention are as follows: the present invention obtains temperature characteristic information of a cable joint, obtains a temperature health distribution coefficient of the cable joint according to the temperature characteristic information analysis, obtains electromagnetic strength information of the cable joint, obtains a first fluctuation parameter of the cable joint according to the electromagnetic strength information analysis, constructs an interference factor analysis model of the cable joint, inputs the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model, calculates the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve, quantifies the health status of the cable joint, and realizes early fault warning and intelligent management of the cable joint. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic diagram of the structure of a terminal equipment management system for a power distribution system provided by the present invention;

[0032] Figure 2 This is a schematic diagram of the distribution of temperature characteristic information of a cable joint obtained by the temperature provided by the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solution in the present invention. Obviously, the described technical solution is only a part of the present invention, not all of it. Based on the technical solution in the present invention, all other technical solutions obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] Figure 1 The present invention provides a schematic diagram of the structure of a terminal device management system for a power distribution system. Figure 1As shown, a terminal equipment management system for a power distribution system includes a temperature monitoring and analysis module, an electromagnetic environment monitoring and management module, and an interference fluctuation analysis module; the temperature monitoring and analysis module is connected to the electromagnetic environment monitoring and management module, and the electromagnetic environment monitoring and management module is connected to the interference fluctuation analysis module;

[0035] The temperature monitoring and analysis module obtains the temperature characteristic information of the cable joint, and obtains the temperature health distribution coefficient of the cable joint according to the temperature characteristic information;

[0036] The electromagnetic environment monitoring and management module obtains the electromagnetic strength information of the cable joint, and obtains the first fluctuation parameter of the cable joint according to the electromagnetic strength information analysis;

[0037] The interference fluctuation analysis module is used to construct an interference factor analysis model for the cable joint, input the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model, draw several temperature fluctuation curves of the cable joint, and calculate the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curves.

[0038] Specifically, the temperature monitoring and analysis module includes a temperature acquisition unit and a temperature health analysis unit; the temperature acquisition unit is connected to the temperature health analysis unit.

[0039] like Figure 2 As shown, the temperature acquisition unit is used to periodically scan the cable joint through an infrared thermal imager to generate a temperature field distribution image, and obtain the temperature characteristic information of the cable joint based on the temperature field distribution image; the temperature characteristic information is the temperature values ​​of the cable connector arranged in order from large to small, and the obtained temperature sequence is the temperature characteristic information.

[0040] The temperature health analysis coefficient calculation unit is used to construct a temperature characteristic analysis model according to the temperature characteristic information to analyze and obtain the temperature health distribution coefficient of the cable joint.

[0041] Specifically, the temperature health analysis coefficient calculation unit is used to construct a temperature characteristic analysis model according to the temperature characteristic information to analyze and obtain the temperature health distribution coefficient of the cable joint. The formula of the temperature characteristic analysis model is:

[0042] ;

[0043] Where: is the temperature health distribution coefficient of the cable joint, is the number of data in the temperature characteristic information, is the temperature characteristic information ranked as the i-th, is the mean value of the temperature characteristic information.

[0044] By acquiring and analyzing the temperature data of cable joints, the operating status and health of the joints are evaluated. The core of the module is the calculation of the temperature health distribution coefficient, which can quantify the uniformity of the temperature distribution of the cable joints and reflect whether there are abnormal hot spots or uneven temperatures inside the joints. The temperature data of the cable joints are sorted from high to low to ensure that the analysis focuses more on high-temperature areas, thereby more effectively reflecting potential risk points. The cable joints are regularly scanned using an infrared thermal imager to generate temperature field distribution images, and the temperature data of different areas of the joints are extracted on the thermal image. By calculating the temperature health distribution coefficient, the hot spot areas inside the cable joints can be accurately located, which facilitates the early detection of local overheating problems of the cable joints and reduces the risk of equipment damage or failure. The temperature difference is quantified into specific values, providing an intuitive evaluation standard for the temperature distribution inside the cable joints, which helps to track the health of the equipment over a long period of time, regularly monitor the changing trend of the temperature health distribution coefficient, evaluate the aging rate of the cable joints, and predict Detect potential fault development and extend equipment life. When the temperature health distribution coefficient exceeds the set threshold, the system automatically triggers an early warning to prompt maintenance or equipment replacement. Detect abnormal cable joint temperature in advance to reduce the risk of large-scale power outages caused by equipment failures, improve the stability and reliability of the power supply system, help optimize the maintenance cycle, and reduce unnecessary maintenance costs. Temperature monitoring is independent of the electromagnetic environment and avoids the influence of electromagnetic interference on the measurement results. It is suitable for cable joint monitoring in various complex electromagnetic environments. Temperature monitoring is performed on key cable joints in substations and distribution rooms to prevent equipment failures caused by overheating of joints. Infrared thermal imagers are deployed in long-distance cable tunnels to achieve simultaneous monitoring and remote evaluation of multiple joints. Infrared thermal imaging technology is combined with mathematical models to accurately evaluate the temperature distribution of cable joints. By calculating the temperature health distribution coefficient, the temperature difference of cable joints is quantified, potential temperature rise problems are discovered in advance, and the long-term safe operation of the cable system is ensured.

[0045] Specifically, the electromagnetic environment monitoring and management module includes a cable distribution data monitoring unit, an intensity parameter measurement unit, an electromagnetic fluctuation parameter calculation unit and a fluctuation parameter comprehensive analysis unit; the cable distribution data monitoring unit is connected to the intensity parameter measurement unit and the electromagnetic fluctuation parameter calculation unit respectively, and the intensity parameter measurement unit and the electromagnetic fluctuation parameter calculation unit are connected to the fluctuation parameter comprehensive analysis unit respectively.

[0046] The cable distribution data monitoring unit is used to obtain the first electromagnetic strength information of the cable joint in a normal state by arranging a Hall sensor at the cable joint, and to monitor and obtain the second electromagnetic strength information of the cable joint in real time; the first electromagnetic strength information includes the first electric field strength and the first magnetic field strength; the second electromagnetic strength information includes the second electric field strength and the second magnetic field strength; the first electric field strength is obtained by obtaining the electric field strength value in the monitoring period under the normal state, and calculating the mean value according to the electric field strength value to obtain the first electric field strength; the first magnetic field strength is obtained by obtaining the magnetic field strength value in the monitoring period under the normal state, and calculating the mean value according to the magnetic field strength value to obtain the first magnetic field strength; the second electric field strength is obtained by real-time monitoring the electric field strength fluctuation value at the cable joint, the electric field strength fluctuation value is calculated by the difference between the electric field strength value at time t+1 and the electric field strength value at time t in the monitoring period, and the sum of the electric field strength fluctuation value at time t and the first electric field strength is the second electric field strength at time t, that is:

[0047] ;

[0048] Where: is the second electric field intensity varying with time t, is the first electric field strength, is the electric field intensity fluctuation value at time t, are the electric field strength value at time t+1 and the electric field strength value at time t within the monitoring period;

[0049] The second magnetic field strength is obtained by real-time monitoring of the magnetic field fluctuation value at the cable joint. The magnetic field fluctuation value is calculated by the difference between the magnetic field strength value at time t+1 and the magnetic field strength value at time t within the monitoring period. The sum of the magnetic field strength fluctuation value at time t and the second magnetic field strength is the second magnetic field strength at time t, that is:

[0050] ;

[0051] Where: is the second magnetic field intensity varying with time t, is the first magnetic field strength, is the magnetic field intensity fluctuation value at time t, are the magnetic field strength value at time t+1 and the magnetic field strength value at time t within the monitoring period.

[0052] The intensity parameter measurement unit is used to measure and record the first intensity parameter at the cable joint according to the second electromagnetic intensity information, including: the first time integral of the second electric field intensity of the cable joint and the first time integral of the second magnetic field intensity of the cable joint; the first time is the monitoring period; the formula for the first time integral of the second electric field intensity is:

[0053] ;

[0054] Where: is the first time integral of the second electric field strength, To monitor the start time, is the length of the monitoring period, is the second electric field intensity varying with time t;

[0055] It should be noted that if The value is greater than or equal to the preset The value of indicates that there is a continuous strong electric field fluctuation at the cable joint during the monitoring period, which may cause local heating or damage to the cable insulation; if The value is less than the preset The value indicates that the electric field fluctuation is weak or of short duration during the monitoring period, and has little impact on the cable joint.

[0056] The formula for the first time integral of the second magnetic field strength is:

[0057] ;

[0058] Where: is the first time integral of the second magnetic field strength, To monitor the start time, is the length of the monitoring period, is the second magnetic field strength that changes with time t.

[0059] It should be noted that if The value is greater than or equal to the preset If the value is too high, the cable joint has experienced a continuous strong magnetic field during the monitoring period, which may lead to an increase in local eddy current losses and cause local overheating of the cable joint; The value is less than the preset The value indicates that the magnetic field fluctuation is weak or of short duration, and has limited impact on the cable joint.

[0060] The electromagnetic fluctuation parameter calculation unit is used to calculate the electromagnetic fluctuation coefficient according to the second electric field strength and the second magnetic field strength introduced into the electromagnetic fluctuation coefficient calculation formula. The electromagnetic fluctuation coefficient calculation formula is:

[0061] ;

[0062] Where: is the electromagnetic fluctuation coefficient, is the maximum value of the second electric field strength during the monitoring period, is the minimum value of the second electric field strength during the monitoring period, is the average value of the second electric field strength during the monitoring period, is the maximum value of the second electromagnetic intensity during the monitoring period, is the minimum value of the second electromagnetic intensity during the monitoring period, is the average value of the second magnetic field strength during the monitoring period.

[0063] The fluctuation parameter comprehensive analysis unit is used to construct a first fluctuation parameter calculation model to calculate the first fluctuation parameter according to the electromagnetic fluctuation coefficient, the first time integral of the second electric field strength, and the first time integral of the second magnetic field strength. The formula of the first fluctuation parameter calculation model is:

[0064] ;

[0065] Where: is the first fluctuation parameter, is the electromagnetic wave coefficient, is the first time integral of the second electric field strength, is the first time integral of the second magnetic field strength.

[0066] By real-time monitoring of the electric and magnetic field fluctuations at the cable joints, the impact of electromagnetic interference on the operating status of the cable joints can be quantified. This module analyzes and warns based on core parameters such as the integral of the electric and magnetic field strength and the electromagnetic fluctuation coefficient to ensure the safety and stability of the cable joints. The intensity parameter measurement unit integrates the electric and magnetic field fluctuations at the cable joints over time to quantify the degree of accumulation of electromagnetic strength over time, which can effectively reflect the cumulative effect of electromagnetic interference and avoid underreporting caused by focusing only on instantaneous values. When the integral value is large, it indicates that the cable joint is in a strong electric or magnetic field environment for a long time, which helps to detect equipment aging or failure caused by eddy currents or local overheating in advance. The electromagnetic fluctuation parameter calculation unit calculates the electromagnetic fluctuation coefficient at the cable joint to reflect the fluctuation amplitude of the electric and magnetic field strength, which can quickly capture the instability of the electromagnetic environment, thereby quickly responding to local overheating or insulation damage of the cable joint. By calculating the difference between the maximum, minimum and mean values, it can more sensitively reflect the fluctuation of electromagnetic strength and prevent small fluctuations from covering up potential faults. The fluctuation parameter comprehensive analysis unit integrates the electromagnetic fluctuation coefficient, the electric and magnetic field integral values, and calculates the first fluctuation parameter, which is used to evaluate the interference of the cable joint with the electromagnetic environment. By combining the electric field and magnetic field fluctuations, the limitations of monitoring a single physical quantity can be avoided, and a more comprehensive evaluation of the joint operation status can be provided. If the first fluctuation parameter is high, it means that the cable joint has been subjected to strong electromagnetic fluctuations during the monitoring period, which helps to start the maintenance or replacement plan in time. The combination of the electromagnetic fluctuation coefficient and the integral value can help determine whether the electromagnetic fluctuation is a short-term fluctuation or a long-term problem. Through the analysis of electric field and magnetic field fluctuations, it is possible to accurately judge whether there is abnormal local heating or local insulation weakness in the cable joint during long-term operation, and avoid the accumulation of potential faults in the long-term operation of the equipment. A high electromagnetic fluctuation coefficient indicates that the electric field or magnetic field fluctuations of the cable joint are more intense during the monitoring period. Timely alarm can avoid accidents caused by joint overheating. Once the preset value is exceeded, the alarm mechanism is immediately triggered, and the cable joint with risks is maintained or replaced in advance to avoid larger-scale faults. By monitoring the fluctuations of the electric and magnetic fields of the cable joint, insulation aging and equipment damage caused by local overheating can be effectively prevented, thereby extending the service life of the cable system and reducing maintenance costs.

[0067] Specifically, the interference fluctuation analysis module includes an interference analysis unit, a temperature fluctuation curve drawing unit and a temperature fluctuation coefficient calculation unit; the interference analysis unit is connected to the temperature fluctuation curve drawing unit, and the temperature fluctuation curve drawing unit is connected to the temperature fluctuation coefficient calculation unit.

[0068] The interference analysis unit is used to construct an interference factor analysis model of the cable joint, and the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint are input into the interference factor analysis model to calculate the interference factor. The formula of the interference factor analysis model is:

[0069] ;

[0070] Where: is the interference factor, is the weight coefficient of the first fluctuation parameter, is the weight coefficient of temperature health distribution coefficient, is the first fluctuation parameter of the cable joint, is the temperature health distribution coefficient of the cable joint.

[0071] The temperature fluctuation curve drawing unit is used to draw a plurality of temperature fluctuation curves of the cable joint according to the temperature characteristic information of the cable joint.

[0072] The temperature fluctuation coefficient calculation unit is used to calculate the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve. By extracting the maximum and minimum values ​​in each temperature fluctuation curve, a temperature fluctuation coefficient analysis model is constructed to calculate the temperature fluctuation coefficient. The formula of the temperature fluctuation coefficient analysis model is:

[0073] ;

[0074] Where: is the temperature fluctuation coefficient, is the interference factor, is the number of temperature fluctuation curves, is the maximum value in the jth temperature fluctuation curve, is the minimum value in the jth temperature fluctuation curve, is the average value of the maximum values ​​of each temperature fluctuation curve, is the average of the minimum values ​​of each temperature fluctuation curve;

[0075] If the temperature fluctuation coefficient is compared with the preset temperature fluctuation coefficient threshold, if the temperature fluctuation coefficient is greater than or equal to the preset temperature fluctuation coefficient threshold, it will interfere with the operation of the device; if the temperature fluctuation coefficient is less than the preset temperature fluctuation coefficient threshold, it will not interfere with the operation of the device.

[0076] Through the interference factor analysis model, temperature fluctuation curve and temperature fluctuation coefficient calculation, the operation status of the cable joint can be fully monitored and fault warning can be predicted. The interference degree of the cable joint in a complex electromagnetic environment can be quantified, thereby improving the safety and reliability of the equipment. By calculating the interference factor of the cable joint, the interference degree of the cable joint under electromagnetic fluctuations and temperature changes is evaluated. The temperature health distribution coefficient and the first fluctuation parameter of the cable joint are input into the model, and the multi-dimensional data are comprehensively analyzed to obtain the final interference factor. Combining temperature and electromagnetic fluctuation information, the limitations of single indicator monitoring are avoided, and a more comprehensive equipment health assessment is provided. By evaluating the interference factor, potential problems that may cause local overheating or insulation damage of the equipment can be identified in time. Based on the temperature characteristic data of the cable joint, multiple temperature fluctuation curves are drawn to intuitively display the temperature fluctuation of the equipment under different operating conditions. The fluctuation curve intuitively reflects the change of temperature over time, which helps to quickly locate the hot spots and abnormal points of the cable joint, record the temperature change trend in different time periods, and realize long-term equipment operation status monitoring. In a complex electromagnetic environment, abnormal curve fluctuations can timely reflect the impact of external interference on the cable joint. The influence of temperature fluctuation on the equipment is evaluated; according to the temperature fluctuation curve, the temperature fluctuation coefficient of the cable joint is calculated, the influence of temperature fluctuation on the equipment is evaluated, and the preset threshold is compared to realize automatic fault detection and early warning. By calculating the fluctuation coefficient, the temperature fluctuation amplitude is quantified, which is helpful to judge whether the equipment is affected by external electromagnetic interference. The average calculation of the fluctuation curve reduces the interference of a single fluctuation on the overall result, ensuring the reliability of the system alarm; through the temperature fluctuation curve, timely identify whether there are local hot spots or uneven heat dissipation problems in the cable joint, long-term monitoring of the temperature change trend of the cable joint, and analysis of the fluctuation of the cable joint under load changes or electromagnetic interference are helpful to evaluate the life of the equipment. If the temperature fluctuates frequently, it indicates that the equipment may be at risk of aging or insulation damage. Early maintenance can extend the service life of the cable joint; local overheating problems at the cable joint are usually difficult to be discovered in time. By calculating the interference factor and the temperature fluctuation coefficient, high-risk areas can be accurately identified to prevent small problems from turning into major accidents; by constructing the interference factor model, drawing the temperature fluctuation curve and calculating the temperature fluctuation coefficient, the temperature and electromagnetic environment status of the cable joint can be fully monitored to achieve efficient fault prediction and accurate early warning.

[0077] The embodiment of the present invention obtains temperature characteristic information of the cable joint, obtains a temperature health distribution coefficient of the cable joint according to the temperature characteristic information analysis, obtains electromagnetic strength information of the cable joint, obtains a first fluctuation parameter of the cable joint according to the electromagnetic strength information analysis, constructs an interference factor analysis model of the cable joint, inputs the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model, calculates the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve, quantifies the health status of the cable joint, and realizes early fault warning and intelligent management of the cable joint.

[0078] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0079] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A terminal equipment management system for a power distribution system, comprising a temperature monitoring and analysis module, an electromagnetic environment monitoring and management module, and an interference fluctuation analysis module, characterized in that: The electromagnetic environment monitoring and management module includes a cable distribution data monitoring unit, an intensity parameter measurement unit, an electromagnetic fluctuation parameter calculation unit, and a fluctuation parameter comprehensive analysis unit; the cable distribution data monitoring unit is used to obtain the first electromagnetic intensity information and the second electromagnetic intensity information of the cable joint; The intensity parameter measurement unit is used to measure and record the first intensity parameter at the cable joint according to the second electromagnetic intensity information, including: the first time integral of the second electric field intensity and the first time integral of the second magnetic field intensity of the cable joint; the electromagnetic fluctuation parameter calculation unit is used to import the second electric field intensity and the second magnetic field intensity into the electromagnetic fluctuation coefficient calculation formula to calculate the electromagnetic fluctuation coefficient; the fluctuation parameter comprehensive analysis unit is used to construct a first fluctuation parameter calculation model to calculate the first fluctuation parameter, and the formula of the first fluctuation parameter calculation model is: ； Where: is the first fluctuation parameter, is the electromagnetic fluctuation coefficient, is the first time integral of the second electric field strength, is the first time integral of the second magnetic field strength; The electromagnetic fluctuation parameter calculation unit is used to calculate the electromagnetic fluctuation coefficient by introducing the second electric field strength and the second magnetic field strength into the electromagnetic fluctuation coefficient calculation formula. The electromagnetic fluctuation coefficient calculation formula is: ； Where: is the electromagnetic fluctuation coefficient, is the maximum value of the second electric field strength during the monitoring period, is the minimum value of the second electric field strength during the monitoring period, is the average value of the second electric field strength during the monitoring period, is the maximum value of the second magnetic field strength during the monitoring period, is the minimum value of the second magnetic field strength during the monitoring period, is the average value of the second magnetic field strength during the monitoring period.

2. The terminal equipment management system for a power distribution system according to claim 1, characterized in that: The temperature monitoring and analysis module obtains the temperature characteristic information of the cable joint, and obtains the temperature health distribution coefficient of the cable joint according to the temperature characteristic information analysis; the temperature monitoring and analysis module includes a temperature acquisition unit and a temperature health analysis unit; the temperature acquisition unit is connected to the temperature health analysis unit; the temperature acquisition unit is used to periodically scan the cable joint through an infrared thermal imager to generate a temperature field distribution image, and obtain the temperature characteristic information of the cable joint based on the temperature field distribution image; the temperature characteristic information is to arrange the temperature values ​​of the cable connection head in order from large to small, and the obtained temperature sequence is the temperature characteristic information.

3. The terminal equipment management system for a power distribution system according to claim 2, characterized in that: The temperature health analysis coefficient calculation unit is used to construct a temperature characteristic analysis model according to the temperature characteristic information to analyze and obtain the temperature health distribution coefficient of the cable joint. The formula of the temperature characteristic analysis model is: ； Where: is the temperature health distribution coefficient of the cable joint, is the number of data in the temperature characteristic information, is the temperature characteristic information ranked as the i-th, is the mean value of the temperature characteristic information.

4. The terminal equipment management system for a power distribution system according to claim 1, characterized in that: The cable distribution data monitoring unit is used to obtain first electromagnetic strength information of the cable joint in a normal state by arranging a Hall sensor at the cable joint, and to monitor and obtain second electromagnetic strength information of the cable joint in real time; the first electromagnetic strength information includes a first electric field strength and a first magnetic field strength; the second electromagnetic strength information includes a second electric field strength and a second magnetic field strength; The first electric field strength is obtained by obtaining the electric field strength values ​​in the monitoring period under the normal state and calculating the average value according to the electric field strength values. The first magnetic field strength is obtained by obtaining the magnetic field strength values ​​in the monitoring period under the normal state and calculating the average value according to the magnetic field strength values ​​to obtain the first magnetic field strength; The second electric field strength is obtained by real-time monitoring of the electric field strength fluctuation value at the cable joint. The electric field strength fluctuation value is calculated by the difference between the electric field strength value at time t+1 and the electric field strength value at time t within the monitoring period. The sum of the electric field strength fluctuation value at time t and the first electric field strength is the second electric field strength at time t, that is: ； Where: is the second electric field intensity varying with time t, is the first electric field strength, is the electric field intensity fluctuation value at time t, is the difference between the electric field strength value at time t+1 and the electric field strength value at time t within the monitoring period.

5. The terminal equipment management system for a power distribution system according to claim 4, characterized in that: The second magnetic field strength is obtained by real-time monitoring of the magnetic field fluctuation value at the cable joint. The magnetic field fluctuation value is calculated by the difference between the magnetic field strength value at time t+1 and the magnetic field strength value at time t within the monitoring period. The sum of the magnetic field strength fluctuation value at time t and the second magnetic field strength is the second magnetic field strength at time t, that is: ； Where: is the second magnetic field intensity varying with time t, is the first magnetic field strength, is the magnetic field intensity fluctuation value at time t, is the difference between the magnetic field strength value at time t+1 and the magnetic field strength value at time t within the monitoring period.

6. The terminal equipment management system for a power distribution system according to claim 1, characterized in that: The interference fluctuation analysis module is used to construct an interference factor analysis model for the cable joint, input the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model, draw several temperature fluctuation curves of the cable joint, and calculate the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curves.

7. The terminal equipment management system for a power distribution system according to claim 1, characterized in that: The interference fluctuation analysis module includes an interference analysis unit, a temperature fluctuation curve drawing unit and a temperature fluctuation coefficient calculation unit; the interference analysis unit is connected to the temperature fluctuation curve drawing unit, and the temperature fluctuation curve drawing unit is connected to the temperature fluctuation coefficient calculation unit.

8. The terminal equipment management system for a power distribution system according to claim 7, characterized in that: The interference analysis unit is used to construct an interference factor analysis model of the cable joint, and input the temperature health distribution coefficient of the cable joint and the first fluctuation parameter of the cable joint into the interference factor analysis model to calculate the interference factor. The formula of the interference factor analysis model is: ； Where: is the interference factor, is the weight coefficient of the first fluctuation parameter, is the weight coefficient of temperature health distribution coefficient, is the first fluctuation parameter of the cable joint, is the temperature health distribution coefficient of the cable joint.

9. The terminal equipment management system for a power distribution system according to claim 7, characterized in that: The temperature fluctuation coefficient calculation unit is used to calculate the temperature fluctuation coefficient of the cable joint according to the temperature fluctuation curve, and to construct a temperature fluctuation coefficient analysis model by extracting the maximum value and the minimum value in each temperature fluctuation curve to calculate the temperature fluctuation coefficient. The formula of the temperature fluctuation coefficient analysis model is: ； Where: is the temperature fluctuation coefficient, is the interference factor, is the number of temperature fluctuation curves, is the maximum value in the jth temperature fluctuation curve, is the minimum value in the jth temperature fluctuation curve, is the average of the maximum values ​​of each temperature fluctuation curve, is the average of the minimum values ​​of each temperature fluctuation curve; If the temperature fluctuation coefficient is compared with a preset temperature fluctuation coefficient threshold, if the temperature fluctuation coefficient is greater than or equal to the preset temperature fluctuation coefficient threshold, it will interfere with the operation of the device; If the temperature fluctuation coefficient is less than the preset temperature fluctuation coefficient threshold, it will not interfere with the operation of the device.

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