Cable well operation and maintenance data management system and method

Abstract

The invention discloses a cable well operation and maintenance data management system and method, and relates to the technical field of electrical equipment operation and maintenance, and the method comprises the following steps: S100, monitoring the environment data, electrical parameters, operation state data and image data of a cable well in real time according to a sensor installed at the tail part of a portable visual cable well detection device; s200, extracting environmental data features, electrical parameter features and operation state data features according to the collected data, constructing environmental influence, electrical stability and an insulation health index, and generating a cable health state function; s300, according to the cable health state function and the change trend of the environmental influence, the electrical stability and the insulation health index, the average slope change period is calculated, and the collection time interval T of the portable visual cable well detection device is determined; and S400, adjusting the calculation formula according to the time interval, and readjusting the acquisition time. The cable well operation and maintenance data management and analysis method realizes management and analysis of cable well operation and maintenance data.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment operation and maintenance, and in particular to a cable well operation and maintenance data management system and method. Background Art

[0002] In the field of cable well operation and maintenance management, with the continuous advancement of technology and the improvement of intelligence level, the demand for data collection and monitoring is increasing. As an important infrastructure, the safe operation and efficient management of cable wells directly affect the stability of power supply. Therefore, it is particularly important to develop a system that can efficiently manage and analyze cable well operation and maintenance data.

[0003] The existing cable well operation and maintenance management technology has been applied to data collection, abnormal monitoring, power consumption management and maintenance evaluation to a certain extent, but it still faces many challenges. First, the diversity of data sources and the heterogeneity of formats make data integration complicated, often leading to the formation of information islands, and making it impossible to effectively share and utilize data; second, with the increase in the number of sensors and the increase in the frequency of data transmission, the real-time and accuracy of data become more critical. However, in the existing system, data may be lost, damaged, delayed or interrupted during transmission. These errors directly affect the safety monitoring and decision support of cable wells; in addition, the current operation and maintenance management system often lacks an effective automatic error warning mechanism, which makes it difficult for decision-makers to detect and respond effectively in a short time when data errors occur. The difficulty of data tracing makes the tracking and resolution of problems cumbersome, further affecting the operating efficiency of the system and the scientific nature of operation and maintenance management. Therefore, building an integrated cable well remote operation and maintenance management system with real-time data monitoring, automatic warning and efficient decision support functions has become an urgent problem to be solved in the industry. Summary of the invention

[0004] The object of the present invention is to provide a cable well operation and maintenance data management system and method to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a cable well operation and maintenance data management method, comprising the following steps: S100, according to the sensor installed on the tail of the portable visual cable well detection device, the environmental data, electrical parameters, operating status data and image data of the cable well are monitored in real time, wherein the environmental data include the ambient temperature, relative humidity, gas concentration and water level of the cable well, the electrical parameters include the working current of the cable, the voltage at both ends of the cable and the grounding current of the cable sheath, and the operating status data include the partial discharge of the cable and the surface temperature of the cable joint body; S200, extracting environmental data characteristics, electrical parameter characteristics, and operating status data characteristics based on the collected data, constructing environmental impact, electrical stability, and insulation health indexes, and generating a cable health status function; S300, calculating the average slope change period according to the cable health status function and environmental impact, electrical stability and insulation health index change trend, and determining the collection time interval T of the portable visual cable well detection device; S400, readjusting the collection time according to the time interval adjustment calculation formula.

[0006] In step S100, the specific steps include: Step S101: The network high-definition camera based on the CMOS image sensor installed at the rear of the detection device controls the pan / tilt through the control box, adjusts the camera to obtain image data, uses the H.264 encoder to process and output the digital image data in the cable well, and collects the environmental data, electrical parameters and operating status data of the cable well through the sensor installed at the rear end of the telescopic rod. In the process of obtaining the digital image data in the cable well, the brightness of the light source at the front end of the camera is adjusted according to the different environmental conditions in the cable well to ensure the clarity of the image acquisition; Step S102: storing the acquired image data through a storage chip integrating DRAM, POR, RTC, AudioCodec, Sensor level conversion and clock output; Step S103: The collected data is transmitted to the host computer in real time via RS485 communication, and the data is transmitted to the mobile terminal using WiFi wireless communication to achieve remote online monitoring.

[0007] In step S200, the specific steps are as follows: Step S201, extracting the ambient temperature, relative humidity, gas concentration and the rate of change of the water level in the cable well from the environmental data; extracting the mean value of the cable working current, the voltage extreme value and the sheath grounding current variance from the electrical parameters; extracting the cable partial discharge frequency and surface temperature change from the operating state; Step S202: construct an environmental impact index based on the ambient temperature, relative humidity, gas concentration and the rate of change of the water level in the cable well. The calculation formula is as follows: ; Among them, T represents the rate of change of ambient temperature in the cable well, H represents the rate of change of humidity in the cable well, C represents the rate of change of gas concentration, and W represents the rate of change of water level in the cable well; Step S203: construct an electrical stability index based on the mean value of the cable working current I, the extreme value of the voltage V and the variance of the sheath grounding current G. The calculation formula is as follows: ; Among them, I mean Represents the average value of the cable working current I, V max Indicates the extreme value of the voltage V at both ends of the cable, G var Represents the variance of the ground current in the cable sheath; Step S204: construct an insulation health index based on the cable partial discharge frequency and the body surface temperature change of the cable connector. The calculation formula is as follows: ; Where PD is the partial discharge frequency of the cable, T s Indicates the surface temperature change of the cable connector body; Step S205, generate a cable health status function according to the environmental impact index, electrical stability index and insulation health index calculated in steps S202, S203 and S204, and the calculation formula is as follows: OSI(t)=α1*EII(t)+β1*ESI(t)+γ1*IHI(t); wherein, EII(t) represents the environmental impact index; ESI(t) represents the electrical stability index; IHI(t) represents the insulation health index; α1, β1 and γ1 represent adaptive weights.

[0008] In step S300, the specific steps are as follows: Step S301: According to the value of the cable health status function OSI(t), data is collected according to a time period, and the curves of the cable health status function OSI(t), the environmental impact index EII(t), the electrical stability index ESI(t) and the insulation health index IHI(t) are recorded and drawn to form an overall trend diagram of the cable health status; Step S302: Calculate the average slopes of the cable health function OSI(t), environmental impact index EII(t), electrical stability index ESI(t) and insulation health index IHI(t) curves, respectively, and record them as k OSI , k EII , k ESI and k IHI ; Step S303: Detect the cable health function OSI(t) and the slope changes of each index curve, record the number of slope changes of each curve and the time point when they occur, calculate the average slope change period of the cable health function and each index, and record them as t OSI ,t EII ,t ESI and t IHIThen, based on the cable health status function and the average slope change cycle of each index, the acquisition time interval of the portable visual cable well detection device is calculated. The formula is as follows: T=(t OSI +t EII +t ESI +t IHI ) / 4.

[0009] In step S400, the average slopes of the cable health function OSI(t), environmental impact index EII(t), electrical stability index ESI(t) and insulation health index IHI(t) calculated in step S302 are respectively denoted as k OSI , k EII , k ESI and k IHI According to the slope change trend, the collection time interval is dynamically adjusted to calculate the new collection time interval T'. The time interval adjustment calculation formula is as follows: ; Among them, k avg =(k OSI +k EII +k ESI +k IHI ) / 4, α2 and β2 represent adaptive weights, and real-time collection and monitoring are continued based on this time interval.

[0010] A cable well operation and maintenance data management system, the system comprising: an image display module, a monitoring module, an operation and maintenance data analysis module, a data management module and a user module, the image display module acquires image information through a network high-definition camera, the monitoring module acquires cable well environmental data, electrical parameters and operating status data through sensors; the operation and maintenance data analysis module performs curve analysis on various monitoring data in the cable well, and adjusts the time interval for data collection based on the analysis results; the data management module is used to store and manage all collected data; the user module displays cable well status information in real time through a user interface and provides alarm prompts.

[0011] The image display module includes an image acquisition unit and an image processing unit. The image acquisition unit is used to collect images in the cable well through a network high-definition camera based on a CMOS image sensor. The image processing unit compresses and encodes the image through an H.264 encoder. The monitoring module includes an environment monitoring unit, an electrical parameter monitoring unit, an operation status monitoring unit and a communication unit. The environment monitoring unit measures the temperature and relative humidity in the cable well through a temperature and humidity sensor, monitors the concentration of harmful gases in the cable well through a two-electrode electrochemical gas sensor, and monitors the water level of the accumulated water in the cable well through a radar water level sensor. The electrical parameter monitoring unit monitors the working current of the cable and the grounding current of the cable sheath through a current sensor, and monitors the cable voltage through a voltage sensor. The operation status monitoring unit is used to monitor the surface temperature of the cable connector body through an infrared sensor. The communication unit transmits the collected data to the host computer in real time through RS485 communication, and uses WiFi wireless communication to transmit the collected data to the user module.

[0012] The operation and maintenance data analysis module includes a feature extraction unit, a gas concentration monitoring unit and a curve analysis unit. The feature extraction unit is used to extract feature data from environmental data, electrical parameters and operating status data, generate environmental data features, electrical parameter features and operating status features respectively, and construct an environmental impact index, an electrical stability index and an insulation health index; the gas concentration monitoring unit uses a mixed gas online detector to monitor the gas concentration in the cable well in real time. When the gas concentration exceeds a preset threshold, a pop-up window is displayed on the host computer; the curve analysis unit collects data on the cable health status function and the environmental impact index, electrical stability index and insulation health index according to a time period, draws each index curve, forms a cable health status trend graph, and dynamically adjusts the collection time interval based on the average change slope and trend change of the curve.

[0013] The user module includes a pan-tilt control unit, an interaction unit and a visualization platform unit. The pan-tilt control unit is used to control the camera operation and adjust the light source at the front end of the camera according to the brightness of the well environment. The interaction unit displays the video name setting interface, the camera control interface, the setting operation instruction interface and the time parameter setting interface through the host computer; the visualization platform unit is used to use WiFi wireless communication to transmit the data acquired by the portable visualization cable well detection device to the mobile terminal for display.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The real-time display of cable well operation and maintenance data is realized through the visualization platform. Users can view the cable well environmental parameters, cable health status trend charts and various index curves at any time through the mobile terminal, which greatly improves the convenience of operation and maintenance. At the same time, when the system detects abnormal conditions of excessive gas concentration, it can automatically push alarm information to users, realizing remote monitoring while ensuring the safety of the cable well.

[0015] 2. Dynamically adjust the data collection time interval according to environmental impact, electrical stability and insulation health index change rate. Different from the fixed time collection method in the prior art, the present invention automatically optimizes the collection frequency according to the real-time monitoring results of the change trend of each index. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of a process flow of a cable well operation and maintenance data management method of the present invention; Figure 2 It is a structural schematic diagram of a cable well operation and maintenance data management system of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] like Figure 1-Figure 2 As shown, the present invention provides a technical solution, a cable well operation and maintenance data management method, comprising the following steps: S100, according to the sensor installed on the tail of the portable visual cable well detection device, the environmental data, electrical parameters, operating status data and image data of the cable well are monitored in real time, wherein the environmental data include the ambient temperature, relative humidity, gas concentration and water level of the cable well, the electrical parameters include the working current of the cable, the voltage at both ends of the cable and the grounding current of the cable sheath, and the operating status data include the partial discharge of the cable and the surface temperature of the cable joint body; S200, extracting environmental data characteristics, electrical parameter characteristics, and operating status data characteristics based on the collected data, constructing environmental impact, electrical stability, and insulation health indexes, and generating a cable health status function; S300, calculating the average slope change period according to the cable health status function and environmental impact, electrical stability and insulation health index change trend, and determining the collection time interval T of the portable visual cable well detection device; S400, readjusting the collection time according to the time interval adjustment calculation formula.

[0019] In step S100, the specific steps include: Step S101: The network high-definition camera based on the CMOS image sensor installed at the rear of the detection device controls the pan / tilt through the control box, adjusts the camera to obtain image data, uses the H.264 encoder to process and output the digital image data in the cable well, and collects the environmental data, electrical parameters and operating status data of the cable well through the sensor installed at the rear end of the telescopic rod. In the process of obtaining the digital image data in the cable well, the brightness of the light source at the front end of the camera is adjusted according to the different environmental conditions in the cable well to ensure the clarity of the image acquisition; Step S102: storing the acquired image data through a storage chip integrating DRAM, POR, RTC, AudioCodec, Sensor level conversion and clock output; Step S103: The collected data is transmitted to the host computer in real time via RS485 communication, and the data is transmitted to the mobile terminal using WiFi wireless communication to achieve remote online monitoring.

[0020] In step S200, the specific steps are as follows: Step S201, extracting the ambient temperature, relative humidity, gas concentration and the rate of change of the water level in the cable well from the environmental data; extracting the mean value of the cable working current, the voltage extreme value and the sheath grounding current variance from the electrical parameters; extracting the cable partial discharge frequency and surface temperature change from the operating state; Step S202: construct an environmental impact index based on the ambient temperature, relative humidity, gas concentration and the rate of change of the water level in the cable well. The calculation formula is as follows: ; Among them, T represents the rate of change of ambient temperature in the cable well, H represents the rate of change of humidity in the cable well, C represents the rate of change of gas concentration, and W represents the rate of change of water level in the cable well; Step S203: construct an electrical stability index based on the mean value of the cable working current I, the extreme value of the voltage V and the variance of the sheath grounding current G. The calculation formula is as follows: ; Among them, I mean Represents the average value of the cable working current I, V max Indicates the extreme value of the voltage V at both ends of the cable, G var Represents the variance of the ground current in the cable sheath; Step S204: construct an insulation health index based on the cable partial discharge frequency and the body surface temperature change of the cable connector. The calculation formula is as follows: ; Where PD is the partial discharge frequency of the cable, T s Indicates the surface temperature change of the cable connector body; Step S205, generate a cable health status function according to the environmental impact index, electrical stability index and insulation health index calculated in steps S202, S203 and S204, and the calculation formula is as follows: OSI(t)=α1*EII(t)+β1*ESI(t)+γ1*IHI(t); wherein, EII(t) represents the environmental impact index; ESI(t) represents the electrical stability index; IHI(t) represents the insulation health index; α1, β1 and γ1 represent adaptive weights.

[0021] In step S300, the specific steps are as follows: Step S301: According to the value of the cable health status function OSI(t), data is collected according to a time period, and the curves of the cable health status function OSI(t), the environmental impact index EII(t), the electrical stability index ESI(t) and the insulation health index IHI(t) are recorded and drawn to form an overall trend diagram of the cable health status; Step S302: Calculate the average slopes of the cable health function OSI(t), environmental impact index EII(t), electrical stability index ESI(t) and insulation health index IHI(t) curves, respectively, and record them as k OSI , k EII , k ESI and k IHI ; Step S303: Detect the cable health function OSI(t) and the slope changes of each index curve, record the number of slope changes of each curve and the time point when they occur, calculate the average slope change period of the cable health function and each index, and record them as t OSI ,t EII ,t ESI and t IHI Then, based on the cable health status function and the average slope change cycle of each index, the acquisition time interval of the portable visual cable well detection device is calculated. The formula is as follows: T=(t OSI +t EII +t ESI +t IHI ) / 4.

[0022] In step S400, the average slopes of the cable health function OSI(t), environmental impact index EII(t), electrical stability index ESI(t) and insulation health index IHI(t) calculated in step S302 are respectively denoted as k OSI , k EII , k ESI and k IHI According to the slope change trend, the collection time interval is dynamically adjusted to calculate the new collection time interval T'. The time interval adjustment calculation formula is as follows: ; Among them, k avg =(k OSI +k EII +k ESI +k IHI ) / 4, α2 and β2 represent adaptive weights, and real-time collection and monitoring are continued based on this time interval.

[0023] A cable well operation and maintenance data management system, the system comprising: an image display module, a monitoring module, an operation and maintenance data analysis module, a data management module and a user module, the image display module acquires image information through a network high-definition camera, the monitoring module acquires cable well environmental data, electrical parameters and operating status data through sensors; the operation and maintenance data analysis module performs curve analysis on various monitoring data in the cable well, and adjusts the time interval for data collection based on the analysis results; the data management module is used to store and manage all collected data; the user module displays cable well status information in real time through a user interface and provides alarm prompts.

[0024] The image display module includes an image acquisition unit and an image processing unit. The image acquisition unit is used to collect images in the cable well through a network high-definition camera based on a CMOS image sensor. The image processing unit compresses and encodes the image through an H.264 encoder. The monitoring module includes an environment monitoring unit, an electrical parameter monitoring unit, an operation status monitoring unit and a communication unit. The environment monitoring unit measures the temperature and relative humidity in the cable well through a temperature and humidity sensor, monitors the concentration of harmful gases in the cable well through a two-electrode electrochemical gas sensor, and monitors the water level of the accumulated water in the cable well through a radar water level sensor. The electrical parameter monitoring unit monitors the working current of the cable and the grounding current of the cable sheath through a current sensor, and monitors the cable voltage through a voltage sensor. The operation status monitoring unit is used to monitor the surface temperature of the cable connector body through an infrared sensor. The communication unit transmits the collected data to the host computer in real time through RS485 communication, and uses WiFi wireless communication to transmit the collected data to the user module.

[0025] The operation and maintenance data analysis module includes a feature extraction unit, a gas concentration monitoring unit and a curve analysis unit. The feature extraction unit is used to extract feature data from environmental data, electrical parameters and operating status data, generate environmental data features, electrical parameter features and operating status features respectively, and construct an environmental impact index, an electrical stability index and an insulation health index; the gas concentration monitoring unit uses a mixed gas online detector to monitor the gas concentration in the cable well in real time. When the gas concentration exceeds a preset threshold, a pop-up window is prompted by the host computer; the curve analysis unit collects data on the cable health status function and the environmental impact index, electrical stability index and insulation health index according to a time period, draws each index curve, forms a cable health status trend graph, and dynamically adjusts the collection time interval based on the average change slope and trend change of the curve.

[0026] The user module includes a pan-tilt control unit, an interaction unit and a visualization platform unit. The pan-tilt control unit is used to control the camera operation and adjust the light source at the front end of the camera according to the brightness of the well environment. The interaction unit displays the video name setting interface, camera control interface, setting operation instructions interface and time parameter setting interface through the host computer; the visualization platform unit is used to use WiFi wireless communication to transmit the data acquired by the portable visualization cable well detection device to the mobile terminal for display.

[0027] In the embodiment: during the actual cable well monitoring process over a period of time, the data obtained by the installed portable visual cable well detection device and the sensor are used to draw the environmental impact index, electrical stability index and insulation health index curves, and α1=0.2, β1=0.5, γ1=0.3 are set to substitute into the cable health status function to generate the cable health status function curve. The average change slope of each curve is calculated according to the monitoring results over a period of time, and the following results are obtained: The change rate k of the health status function OSI =0.1, the change rate of environmental impact index k EII =0.001, the rate of change of the electrical stability index k ESI = 0.05, the change rate of insulation health index k IHI =0.01, detect the cable health function OSI(t) and the slope changes of each exponential curve, record the number of slope changes of each curve and the time point when they occur, and calculate the average slope change period t of the cable health function and each index OSI = 10 seconds, t EII = 10 seconds, t ESI = 10 seconds, t IHI = 10 seconds, determine the acquisition time interval T = (t OSI +t EII +t ESI +t IHI) / 4=30 seconds. According to the average change slope of the data curve and the setting of α2=0.3, β2=0.5, the time interval adjustment calculation formula is substituted to obtain a new collection time interval T'=8.94 seconds. Real-time collection and monitoring are continued based on this time interval.

[0028] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A cable well operation and maintenance data management method, characterized in that: The following steps are involved: S100, according to the sensor installed on the tail of the portable visual cable well detection device, the environmental data, electrical parameters, operating status data and image data of the cable well are monitored in real time, wherein the environmental data include the ambient temperature, relative humidity, gas concentration and water level of the cable well, the electrical parameters include the working current of the cable, the voltage at both ends of the cable and the grounding current of the cable sheath, and the operating status data include the partial discharge of the cable and the surface temperature of the cable joint body; S200, extracting environmental data characteristics, electrical parameter characteristics, and operating status data characteristics based on the collected data, constructing environmental impact, electrical stability, and insulation health indexes, and generating a cable health status function; S300, calculating the average slope change period according to the cable health status function and environmental impact, electrical stability and insulation health index change trend, and determining the collection time interval T of the portable visual cable well detection device; S400, readjusting the collection time according to the time interval adjustment calculation formula.

2. A cable well operation and maintenance data management method according to claim 1, characterized in that: In step S100, the specific steps include: Step S101: The network high-definition camera based on the CMOS image sensor installed at the rear of the detection device controls the pan / tilt through the control box, adjusts the camera to obtain image data, uses the H.264 encoder to process and output the digital image data in the cable well, and collects the environmental data, electrical parameters and operating status data of the cable well through the sensor installed at the rear end of the telescopic rod. In the process of obtaining the digital image data in the cable well, the brightness of the light source at the front end of the camera is adjusted according to the different environmental conditions in the cable well to ensure the clarity of the image acquisition; Step S102: storing the acquired image data through a storage chip integrating DRAM, POR, RTC, AudioCodec, Sensor level conversion and clock output; Step S103: The collected data is transmitted to the host computer in real time via RS485 communication, and the data is transmitted to the mobile terminal using WiFi wireless communication.

3. A cable well operation and maintenance data management method according to claim 1, characterized in that: In step S200, the specific steps are as follows: Step S201, extracting the ambient temperature, relative humidity, gas concentration and the rate of change of the water level in the cable well from the environmental data; extracting the mean value of the cable working current, the voltage extreme value and the sheath grounding current variance from the electrical parameters; extracting the cable partial discharge frequency and surface temperature change from the operating state; Step S202: construct an environmental impact index based on the ambient temperature, relative humidity, gas concentration and the rate of change of the water level in the cable well. The calculation formula is as follows: ； Among them, T represents the rate of change of ambient temperature in the cable well, H represents the rate of change of humidity in the cable well, C represents the rate of change of gas concentration, and W represents the rate of change of water level in the cable well; Step S203: construct an electrical stability index based on the mean value of the cable working current I, the extreme value of the voltage V and the variance of the sheath grounding current G. The calculation formula is as follows: ； Among them, I mean Represents the average value of the cable working current I, V max Indicates the extreme value of the voltage V at both ends of the cable, G var Represents the variance of the ground current in the cable sheath; Step S204: construct an insulation health index based on the cable partial discharge frequency and the body surface temperature change of the cable connector. The calculation formula is as follows: ; Where PD is the partial discharge frequency of the cable, T s Indicates the surface temperature change of the cable connector body; Step S205, generate a cable health status function according to the environmental impact index, electrical stability index and insulation health index calculated in steps S202, S203 and S204, and the calculation formula is as follows: OSI(t)=α1*EII(t)+β1*ESI(t)+γ1*IHI(t); wherein, EII(t) represents the environmental impact index; ESI(t) represents the electrical stability index; IHI(t) represents the insulation health index; α1, β1 and γ1 represent adaptive weights.

4. A cable well operation and maintenance data management method according to claim 1, characterized in that: In step S300, the specific steps are as follows: Step S301: According to the value of the cable health status function OSI(t), data is collected according to a time period, and the curves of the cable health status function OSI(t), the environmental impact index EII(t), the electrical stability index ESI(t) and the insulation health index IHI(t) are recorded and drawn to form an overall trend diagram of the cable health status; Step S302: Calculate the average slopes of the cable health function OSI(t), environmental impact index EII(t), electrical stability index ESI(t) and insulation health index IHI(t) curves, respectively, and record them as k OSI , k EII , k ESI and k IHI ; Step S303: Detect the cable health function OSI(t) and the slope changes of each index curve, record the number of slope changes of each curve and the time point when they occur, calculate the average slope change period of the cable health function and each index, and record them as t OSI ,t EII ,t ESI and t IHI Then, based on the cable health status function and the average slope change cycle of each index, the acquisition time interval of the portable visual cable well detection device is calculated. The formula is as follows: T=(t OSI +t EII +t ESI +t IHI ) / 4.

5. A cable well operation and maintenance data management method according to claim 1, characterized in that: In step S400, the average slopes of the cable health function OSI(t), environmental impact index EII(t), electrical stability index ESI(t) and insulation health index IHI(t) calculated in step S302 are respectively denoted as k OSI , k EII , k ESI and k IHI According to the slope change trend, the collection time interval is dynamically adjusted to calculate the new collection time interval T'. The time interval adjustment calculation formula is as follows: ; Among them, k avg =(k OSI +k EII +k ESI +k IHI ) / 4, α2 and β2 represent adaptive weights, and real-time collection and monitoring are continued based on this time interval.

6. A cable well operation and maintenance data management system, characterized by: The system includes: an image display module, a monitoring module, an operation and maintenance data analysis module, a data management module and a user module. The image display module obtains image information through a network high-definition camera, and the monitoring module obtains cable well environmental data, electrical parameters, and operating status data through sensors; the operation and maintenance data analysis module performs curve analysis on various monitoring data in the cable well and adjusts the time interval for data collection based on the analysis results; the data management module is used to store and manage all collected data; the user module displays the cable well status information in real time through a user interface and provides alarm prompts.

7. A cable well operation and maintenance data management system according to claim 6, characterized in that: The image display module includes an image acquisition unit and an image processing unit. The image acquisition unit is used to collect images in the cable well through a network high-definition camera based on a CMOS image sensor. The image processing unit compresses and encodes the image through an H.264 encoder. The monitoring module includes an environment monitoring unit, an electrical parameter monitoring unit, an operation status monitoring unit and a communication unit. The environment monitoring unit measures the temperature and relative humidity in the cable well through a temperature and humidity sensor, monitors the concentration of harmful gases in the cable well through a two-electrode electrochemical gas sensor, and monitors the water level of the accumulated water in the cable well through a radar water level sensor. The electrical parameter monitoring unit monitors the working current of the cable and the grounding current of the cable sheath through a current sensor, and monitors the cable voltage through a voltage sensor. The operation status monitoring unit is used to monitor the surface temperature of the cable connector body through an infrared sensor. The communication unit transmits the collected data to the host computer in real time through RS485 communication, and uses WiFi wireless communication to transmit the collected data to the user module.

8. A cable well operation and maintenance data management system according to claim 6, characterized in that: The operation and maintenance data analysis module includes a feature extraction unit, a gas concentration monitoring unit and a curve analysis unit. The feature extraction unit is used to extract feature data from environmental data, electrical parameters and operating status data, generate environmental data features, electrical parameter features and operating status features respectively, and construct an environmental impact index, an electrical stability index and an insulation health index; the gas concentration monitoring unit uses a mixed gas online detector to monitor the gas concentration in the cable well in real time. When the gas concentration exceeds a preset threshold, a pop-up window is displayed on the host computer; the curve analysis unit collects data on the cable health status function and the environmental impact index, electrical stability index and insulation health index according to a time period, draws each index curve, forms a cable health status trend graph, and dynamically adjusts the collection time interval based on the average change slope and trend change of the curve.

9. A cable well operation and maintenance data management system according to claim 6, characterized in that: The user module includes a pan-tilt control unit, an interaction unit and a visualization platform unit. The pan-tilt control unit controls the camera operation and adjusts the light source at the front end of the camera according to the brightness of the well environment. The interaction unit displays the video name setting interface, the camera control interface, the setting operation instruction interface and the time parameter setting interface through the host computer; the visualization platform unit uses WiFi wireless communication to transmit the data obtained by the portable visualization cable well detection device to the mobile terminal.

Images