Cable tunnel monitoring method, system and terminal based on ct power taking

Abstract

The application relates to a cable tunnel monitoring method and system based on CT power taking and a terminal, and relates to the technical field of power system monitoring.The application comprises the following steps: judging whether the super capacitor voltage is greater than a preset first voltage threshold value; if yes, extracting data of the period event probability and the period average power to determine the subsequent event probability and the subsequent average power; analyzing the super capacitor voltage, the subsequent event probability and the subsequent average power, and controlling the preset CT power taking circuit to monitor the preset cable tunnel; if no, judging whether the super capacitor voltage is greater than a preset second voltage threshold value; if yes, analyzing the period event probability and the period average power, and controlling the CT power taking circuit to monitor the cable tunnel; and if no, analyzing the super capacitor voltage, the predicted period data and the period event probability, and controlling the CT power taking circuit to monitor the cable tunnel.The application has the effect of improving the stability of cable tunnel monitoring.

Description

Technical Field

[0001] This application relates to the technical field of power equipment monitoring, and in particular to a method, system and terminal for monitoring cable tunnels based on CT power extraction. Background Technology

[0002] Cable tunnel monitoring refers to the process of deploying sensors in cable tunnels to sample and monitor the internal environment of the cable tunnels in real time in order to ensure the safety of the power grid.

[0003] In related technologies, when monitoring cable tunnels, the power supply method of CT is usually adopted. The cable tunnel monitoring system is powered by CT power supply circuits laid on the cable. After power supply, the cable tunnel monitoring system monitors data such as temperature, humidity, water level and harmful gases in the cable tunnel in real time according to a fixed sampling rate to ensure the safety of power grid supply.

[0004] Regarding the aforementioned technologies, when powering a cable tunnel monitoring system via CT (Cable Transmission Unit) power supply, the large fluctuations in cable load mean that insufficient energy cannot be obtained during light or no-load conditions, leading to frequent restarts or permanent shutdowns. Furthermore, when monitoring cable tunnels using a fixed sampling rate, the system cannot adaptively adjust to the cable's energy status. This results in insufficient data collection when energy is abundant, and system crashes due to forced sampling when energy is scarce. Consequently, the stability of cable tunnel monitoring is poor, and there is room for improvement. Summary of the Invention

[0005] To improve the stability of cable tunnel monitoring, this application provides a cable tunnel monitoring method, system, and terminal based on CT power supply.

[0006] Firstly, this application provides a cable tunnel monitoring method based on CT power extraction, employing the following technical solution: Cable tunnel monitoring methods based on CT power extraction include: Acquire supercapacitor voltage and historical operating data; Historical operational data is analyzed to determine the data for the forecast period, the probability of events during the period, and the average power consumption during the period. Determine whether the supercapacitor voltage is greater than a preset first voltage threshold. If the values ​​are greater than 1, then the event probability and average electricity consumption during the time period are extracted to determine the probability of subsequent events and the average electricity consumption during the subsequent time period. The supercapacitor voltage, subsequent event probability, and subsequent average charge are analyzed to control the preset CT power extraction circuit to monitor the preset cable tunnel. If it is not greater than, then determine whether the supercapacitor voltage is greater than the preset second voltage threshold. If it is greater than that, the probability of events during the time period and the average power consumption during the time period are analyzed, and the CT power supply circuit is controlled to monitor the cable tunnel. If the value is not greater than the predicted value, the supercapacitor voltage, predicted time period data, and time period event probability are analyzed to control the CT power supply circuit to monitor the cable tunnel.

[0007] Optionally, the steps of analyzing historical operating data to determine forecast period data, period event probabilities, and average period electricity consumption include: Historical operational data is divided according to a preset time period to determine the historical data for each time period; Get the data for the current time period; Input the current time period data, historical time period data, preset current overload threshold and preset current light load threshold into the preset current prediction model to determine the prediction time period data and the probability of time period events. Data analysis is performed on the forecast period data to determine the average electricity consumption during the period.

[0008] Optionally, the steps of analyzing the supercapacitor voltage, subsequent event probability, and subsequent average charge, and controlling the preset CT power extraction circuit to monitor the preset cable tunnel include: Data extraction of subsequent event probabilities is used to determine the probability of overload events; Determine whether the probability of an overload event is greater than a preset overload probability threshold; If it is not greater than, the CT power supply circuit is controlled according to the preset first sampling frequency and the preset maximum power to monitor the cable tunnel; If it is greater than, then get the current event time; The supercapacitor voltage, current event time, overload event probability, and subsequent average charge are analyzed to determine the overload sampling rate and capacitor discharge power. The CT power supply circuit is controlled based on the maximum power draw, overload sampling rate, and capacitor discharge power to monitor cable tunnels.

[0009] Optionally, the steps of analyzing the supercapacitor voltage, current event time, overload event probability, and subsequent average charge to determine the overload sampling rate and capacitor discharge power include: Get the duration of the overload period and the current battery level; Calculate the difference between the current period's electricity consumption and the subsequent average electricity consumption to determine the average period's overload. Calculate the product of the average overload amount over the time period and the probability of overload events to determine the capacitor reserve margin; Input the capacitor's reserve capacity, the current event time, and the preset rated capacitor voltage into the preset power calculation model to determine the capacitor's discharge power; The overload period duration and the current event time are analyzed to determine the overload sampling rate.

[0010] Optionally, the steps of analyzing the overload period duration and the current event time to determine the overload sampling rate include: Obtain the current average current and the overload average current; The current average current, the overload average current, and the preset steady power extraction power are input into the preset power extraction power model to determine the excess power extraction power. The excess power draw, overload period duration, current event time, and stable power draw are input into a preset equal-volume charging and discharging model to determine the total load power. Calculate the difference between the total load power and the preset base load power to determine the tunnel sampling power; Calculate the quotient of the tunnel sampling power and the preset power conversion coefficient to determine the overload sampling rate.

[0011] Optionally, the steps of analyzing the event probability and average power consumption over time periods to control the CT power extraction circuit for monitoring cable tunnels include: Data on the event probability and average electricity consumption during the time period are extracted to determine the probability and electricity consumption of subsequent light load events. Determine whether the probability of subsequent light load is greater than the preset light load probability threshold; If it is not greater than, the CT power supply circuit is controlled according to the preset second sampling rate and the preset maximum power supply to monitor the cable tunnel; If it is greater than, then obtain the current remaining time, current capacitor charge, and capacitor charging power; Input the current remaining time, current capacitor charge, and capacitor charging power into the preset capacitor charging model to determine the light-load capacitor charge. Determine whether the charge of the lightly loaded capacitor is greater than the first voltage threshold. If it is greater than the second sampling rate and the maximum power, the CT power supply circuit is controlled to monitor the cable tunnel. If it is not greater than, the first charging threshold, the second sampling rate, and the light-load capacitor power are input into the preset sampling adjustment model to determine the corrected sampling rate; The CT power supply circuit is controlled based on the corrected sampling rate and maximum power supply to monitor the cable tunnel.

[0012] Optionally, the steps of analyzing the supercapacitor voltage, predicted time period data, and time period event probabilities to control the CT power extraction circuit for monitoring the cable tunnel include: Based on preset power supply event thresholds and preset waiting time, the event probability and predicted time period data are filtered to determine the available charging time period, charging time period probability, charging time period duration, and earliest charging time. Calculate the product of the charging period duration and the charging period probability to determine the circuit charging expectation; The ratio of expected circuit charging power to available waiting time is used to determine the charging period density. Calculate the product of the preset minimum sampling power and the earliest charging time to determine the minimum sampling power; The available charging time period, minimum sampling power, and charging time density are analyzed to control the CT power supply circuit for monitoring cable tunnels.

[0013] Optionally, the steps of analyzing the available charging periods, minimum sampling power, and charging period density to control the CT power extraction circuit for monitoring cable tunnels include: Obtain real-time capacitor charge; Determine whether the real-time capacitor charge is greater than the minimum sampled charge. If it is not greater than, then data is extracted from the rechargeable period to determine the circuit wake-up point; The CT power supply circuit is put into sleep mode and is woken up according to the circuit wake-up point to monitor the cable tunnel. If it is greater than that, the minimum sampling rate is adjusted upward according to the charging period density to determine the charging sampling rate; The CT power supply circuit is controlled based on the charging sampling rate and the preset maximum CT power supply to monitor the cable tunnel.

[0014] Secondly, this application provides a cable tunnel monitoring system based on CT power supply, which adopts the following technical solution: A cable tunnel monitoring system based on CT power supply includes: The acquisition module is used to acquire supercapacitor voltage and historical operating data; A memory for storing the program of the cable tunnel monitoring method based on CT power supply as described in any of the above; The processor and the program in the memory can be loaded and executed by the processor to implement the cable tunnel monitoring method based on CT power supply as described in any of the above.

[0015] Thirdly, this application provides a terminal that adopts the following technical solution: A terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any of the preceding claims for monitoring cable tunnels based on CT power supply.

[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. By analyzing historical data, the predicted time period data, time period event probability, and time period average power are determined. It is then determined whether the supercapacitor voltage is greater than the first voltage threshold, thus determining whether the supercapacitor power is sufficient. When the supercapacitor power is greater than the first voltage threshold, it indicates that the supercapacitor power is sufficient to power the cable tunnel monitoring circuit. Therefore, the time period probability and time period average power are extracted to determine the subsequent event probability and subsequent average power, controlling the CT power extraction circuit to monitor the cable tunnel. If the supercapacitor power is not greater than the first voltage threshold, it is determined whether the supercapacitor voltage is greater than the second voltage threshold, thus determining whether the supercapacitor power is insufficient. When the supercapacitor voltage is greater than the second voltage threshold, the time period event probability and time period average power are analyzed, controlling the CT power extraction circuit to monitor the cable tunnel. If the supercapacitor voltage is not greater than the second voltage threshold, it indicates that the supercapacitor power is insufficient. Therefore, the supercapacitor voltage, predicted time period data, and time period event probability are analyzed to control the CT power extraction circuit to monitor the cable tunnel. This method, based on the supercapacitor power, controls the CT power extraction circuit to monitor the cable tunnel, thereby improving the stability of cable tunnel monitoring. 2. By analyzing the supercapacitor charge, when the supercapacitor charge is between the first and second voltage thresholds, the event probability and average charge over the time period are analyzed to determine the subsequent light load probability and subsequent light load charge. When the subsequent light load probability is not greater than the light load probability threshold, it indicates that no adjustment of the sampling rate and power extraction is needed. Therefore, the CT power extraction circuit is controlled according to the second sampling rate and maximum power extraction to monitor the cable tunnel. If the second sampling rate is greater than the light load probability threshold, it indicates that the subsequent time period is a light load period. Therefore, according to the capacitor charging model, it is determined that the supercapacitor charge will be at the end of the current time period. The light-load capacitor charge is determined. If the light-load capacitor charge is greater than the full-capacity charging threshold, it indicates that the supercapacitor charge is sufficient at the end of the current time period, and there is no need to reduce the sampling rate. Therefore, the CT power supply circuit is controlled according to the second sampling rate and the maximum power supply to monitor the cable tunnel. If the light-load capacitor charge is not greater than the full-capacity charging threshold, it indicates that the sampling rate needs to be reduced to increase the supercapacitor charge. Therefore, the corrected sampling rate is determined according to the sampling adjustment model, and the CT power supply circuit is controlled according to the corrected sampling rate and the maximum power supply to monitor the cable tunnel. Thus, the sampling rate is determined based on the supercapacitor charge, thereby improving the system sampling accuracy. 3. By acquiring the real-time capacitor charge, if the current capacitor charge is not greater than the minimum sampling charge, it indicates that the cable tunnel monitoring system needs to be put into sleep mode. Therefore, data is extracted during the rechargeable period to determine the circuit wake-up point, thereby controlling the CT power supply circuit to go into sleep mode. The CT power supply circuit is then woken up based on the circuit wake-up charge to monitor the cable tunnel. If the current capacitor charge is greater than the minimum sampling charge, it indicates that the CT power supply circuit does not need to be put into sleep mode. Therefore, the base sampling rate is corrected according to the sampling correction factor to determine the charging sampling rate. The CT power supply is controlled based on the charging sampling rate and the maximum CT power supply to monitor the cable tunnel. Thus, when the supercapacitor charge is insufficient, the monitoring system is put into sleep mode, and the CT power supply circuit is woken up based on the circuit wake-up point determined during the rechargeable period, thereby preventing the CT power supply circuit from falling into permanent lockout. Attached Figure Description

[0017] Figure 1 This is a flowchart of the cable tunnel monitoring method based on CT power extraction in the embodiments of this application.

[0018] Figure 2 This is a flowchart in this application embodiment that analyzes historical operating data to determine the predicted time period data, the probability of events during the time period, and the average power consumption during the time period.

[0019] Figure 3 This is a flowchart in this application embodiment of analyzing the supercapacitor voltage, subsequent event probability, and subsequent average power, and controlling the preset CT power extraction circuit to monitor the preset cable tunnel.

[0020] Figure 4 This is a flowchart in this application embodiment that analyzes the supercapacitor voltage, current event time, overload event probability, and subsequent average charge to determine the overload sampling rate and capacitor discharge power.

[0021] Figure 5 This is a flowchart in this application embodiment that analyzes the overload period duration and the current event time to determine the overload sampling rate.

[0022] Figure 6 This is a flowchart in this application embodiment of analyzing the probability of events and the average power consumption during a time period to control the CT power supply circuit to monitor the cable tunnel.

[0023] Figure 7 This is a flowchart in this application embodiment of analyzing supercapacitor voltage, predicted time period data, and time period event probability to control the CT power supply circuit to monitor the cable tunnel.

[0024] Figure 8 This is a flowchart in this application embodiment that analyzes the rechargeable time period, minimum sampling power, and recharge period density to control the CT power extraction circuit to monitor the cable tunnel. Detailed Implementation

[0025] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 8 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0026] This application discloses a cable tunnel monitoring method, system, and terminal based on CT power supply. Specifically, it discloses a processing terminal and a CT power supply circuit, which are communicatively connected to achieve information exchange and control. The processing terminal acquires supercapacitor voltage and historical operating data, analyzes the historical data to determine predicted time period data, time period event probabilities, and time period average power consumption, and determines whether the supercapacitor voltage is greater than a first voltage threshold to determine if the supercapacitor power is sufficient. When the supercapacitor power is greater than the first voltage threshold, it indicates that the supercapacitor power is sufficient to power the cable tunnel monitoring circuit. Therefore, the time period probability and time period average power consumption are extracted to determine the probability of subsequent events and the subsequent average power consumption. The system controls the CT power extraction circuit to monitor the cable tunnel. If the supercapacitor charge is not greater than the first voltage threshold, it determines whether the supercapacitor voltage is greater than the second voltage threshold, thus determining whether the supercapacitor charge is insufficient. When the supercapacitor voltage is greater than the second voltage threshold, the system analyzes the event probability and average charge over the time period. If the supercapacitor voltage is not greater than the second voltage threshold, it indicates that the supercapacitor charge is insufficient. Therefore, the system analyzes the supercapacitor voltage, predicted time period data, and event probability over the time period to control the CT power extraction circuit to monitor the cable tunnel. Different CT power extraction methods are selected based on the supercapacitor charge to monitor the cable tunnel, thereby improving the stability of cable tunnel monitoring.

[0027] Reference Figure 1 This application discloses a cable tunnel monitoring method based on CT power supply, including the following steps: Step S100: Obtain the supercapacitor voltage and historical operating data.

[0028] The supercapacitor voltage refers to the voltage of the supercapacitor used for energy storage in the CT power supply circuit. It is determined by the processing terminal by retrieving the ADC conversion data of the two poles of the supercapacitor and calculating the difference between the two conversion data.

[0029] Historical operating data refers to historical data on cable current, which is determined by the processing terminal by retrieving the cable current measurement data stored in the system.

[0030] Step S101: Analyze historical operating data to determine the predicted time period data, the probability of events during the time period, and the average power consumption during the time period.

[0031] The predicted time period data refers to cable current prediction data divided into time periods, categorized into three groups: overload, stable, and light load states. The time period event probability refers to the probability that the cable operating state is overloaded, stable, or light load within each time period. For example, during the evening peak period of 18:00-20:00 on Monday evening, the probability of cable overload is 54%, the probability of stable is 45%, and the probability of light load is 1%. The average time period charge refers to the average charge amount of cable current under overload, stable, and light load conditions within each time period. All of the above data are determined by the processing terminal through analysis of historical operating data. Specific analysis steps are detailed in [reference needed]. Figure 2 The steps in the process.

[0032] Step S102: Determine whether the supercapacitor voltage is greater than the preset first voltage threshold.

[0033] The first voltage threshold refers to the minimum voltage threshold for the capacitor to be in an energy-rich state. The operator first determines the basic upper limit value of the supercapacitor's energy-rich state based on the upper limit of the supercapacitor voltage, and then adjusts and determines the basic upper limit value based on the preliminary experimental results of the actual operation of the CT power supply circuit.

[0034] By processing the terminal to determine whether the supercapacitor voltage is greater than the first voltage threshold, it can be determined whether the current supercapacitor charge is sufficient and whether it can supply power to the CT power supply circuit under light cable load until the cable power supply is sufficient. Different sampling rates can be selected according to the capacitor charge to improve the stability of cable tunnel monitoring.

[0035] Step S1021: If it is greater than, then extract the data of the event probability and the average electricity consumption of the time period to determine the probability of subsequent events and the average electricity consumption of subsequent events.

[0036] If the processing terminal determines that the supercapacitor voltage is greater than the first voltage threshold, it indicates that the supercapacitor has sufficient power. Therefore, the event probability and average power of the time period are extracted to determine the probability of subsequent events and the average power of subsequent events.

[0037] The probability of subsequent events refers to the probability of cable power being overloaded, stable, or lightly loaded in the next time period after the current time period. The processing terminal extracts the event probabilities of the time period to determine the event probabilities of the next time period after the current time period, which is the probability of subsequent events.

[0038] The subsequent average power refers to the probability of cable power being overloaded, stable, or lightly loaded in the next time period after the current time period. The processing terminal extracts the average power data of the time period to determine the average power of the next time period after the current real-time time period, which is the subsequent average power.

[0039] Step S1022: Analyze the supercapacitor voltage, subsequent event probability, and subsequent average charge, and control the preset CT power supply circuit to monitor the preset cable tunnel.

[0040] Among them, the CT power supply circuit refers to a circuit that obtains power from multiple CTs based on cables to monitor cable tunnels. A cable tunnel is an underground tunnel laid to protect power transmission cables.

[0041] After determining the probability and average charge of subsequent events, the supercapacitor voltage, probability of subsequent events, and average charge of subsequent events are analyzed. The CT power extraction circuit is then controlled to monitor the cable tunnel in real time. Specific analysis steps are detailed below. Figure 3 The steps in the process.

[0042] Step S1023: If it is not greater than, then determine whether the supercapacitor voltage is greater than the preset second voltage threshold.

[0043] The second voltage threshold refers to the upper limit threshold at which the supercapacitor's power is insufficient and the CT power supply circuit needs to significantly reduce the sampling rate. It is determined by the operator based on the basic power consumption of the CT power supply circuit determined by pre-experiment, and then comprehensively based on the basic power consumption and the power supply stability of the underground cable.

[0044] If the processing terminal determines that the supercapacitor voltage is not greater than the first voltage threshold, it indicates that the supercapacitor is not fully charged. Therefore, it is necessary to determine whether the supercapacitor voltage is greater than the second voltage threshold, thereby determining whether the current supercapacitor charge is insufficient and whether it is necessary to reduce the sampling rate of the CT power supply circuit or enter a sleep state.

[0045] Step S1024: If it is greater than, analyze the event probability and average power consumption during the time period, and control the CT power supply circuit to monitor the cable tunnel.

[0046] If the processing terminal determines that the supercapacitor voltage is greater than the second voltage threshold, it indicates that the supercapacitor's charge level is between a high-energy state and a low-energy state. Therefore, the event probability and average charge level for each time period are analyzed, and the CT power extraction circuit is controlled to monitor the cable tunnel. Specific analysis steps are detailed below. Figure 6 The steps in the process.

[0047] Step S1025: If it is not greater than, then analyze the supercapacitor voltage, predicted time period data and time period event probability, and control the CT power supply circuit to monitor the cable tunnel.

[0048] If the processing terminal determines that the supercapacitor voltage is not greater than the second voltage threshold, it indicates that the supercapacitor's charge is insufficient. Therefore, the supercapacitor voltage, predicted time period data, and time period event probability are analyzed to control the CT power extraction circuit for monitoring the cable tunnel. Specific analysis steps are detailed below. Figure 7 The steps in the process.

[0049] Reference Figure 2 The steps for analyzing historical operational data to determine forecast period data, period event probabilities, and average period electricity consumption include: Step S200: Divide the historical operation data according to the preset time period division cycle to determine the historical data of the time period.

[0050] The time period division cycle refers to the time period division table determined based on the cable load fluctuation cycle. For example, a day is a cycle, and the period from b o'clock to c o'clock on the nth day of the cycle is a time period. The operator determines this by analyzing the historical data of the cable current and combining the periodic characteristics of the cable current with the similarity of the current within the time period.

[0051] Historical data for a time period refers to historical operational data that has passed through a time period division period table. The processing terminal organizes and calibrates the historical operational data based on the data division rules specified in the time period division period.

[0052] Step S201: Obtain data for the current time period.

[0053] Among them, the current time period data refers to the real-time data within the current time period, which is determined by the processing terminal by extracting cable current data based on the current time period.

[0054] Step S202: Input the current time period data, historical time period data, preset current overload threshold and preset current light load threshold into the preset current prediction model to determine the predicted time period data and the probability of time period events.

[0055] Among them, the current overload threshold refers to the upper limit of the average cable current during the safe power supply period of the CT power supply circuit. If the average cable current exceeds this threshold during the period, it indicates that the cable current is overloaded. It is determined by the operator based on the safe power limit of the CT power supply circuit.

[0056] The light load threshold refers to the lower limit of the average cable current during the time period required for the CT power supply circuit to maintain stable operation of the basic load. If the average cable current is lower than this threshold during the time period, it indicates that the cable current is lightly loaded and the CT power supply circuit cannot be powered by the CT. It is determined by the operator based on the basic operating power of the CT power supply circuit.

[0057] The current prediction model refers to a model that first learns from historical data of a time period using a deep learning algorithm. Based on the current threshold corresponding to the overload state and the current threshold corresponding to the light load state of the cable current, it generates basic prediction data for cable current overload, stable and light load. Then, based on the measured data of the current time period, it determines the deviation value between the measured data and the predicted data. Based on the deviation value, it adjusts the basic prediction data to determine the prediction time period data. Finally, it analyzes the historical data of the time period to statistically analyze the probability of the cable overload, stable and light load states occurring in each time period. Based on the probability of each state occurring, the temporal correlation information of the historical data of the time period, and the current change trend, it determines the probability corresponding to each cable current state in the prediction time period data, i.e., the probability algorithm model of the time period event.

[0058] The predicted time period data is consistent with the predicted time period data in step S101, and is determined by the processing terminal by inputting the current time period data and the historical time period data into the current prediction model.

[0059] The probability of a time period event is consistent with the probability of a time period event in step S101, and is determined by the processing terminal by inputting historical time period data into the current prediction model.

[0060] Step S203: Perform data analysis on the predicted time period data to determine the average electricity consumption during the time period.

[0061] The average power consumption during the time period is consistent with the average power consumption during the time period in step S101. The processing terminal extracts the current magnitude from the predicted time period data, determines the current data in each time period, calculates the average current data in each time period as a unit, and calculates the product of the average current in each time period and the duration of each time period.

[0062] Reference Figure 3 The steps for analyzing the supercapacitor voltage, subsequent event probability, and subsequent average charge, and controlling the preset CT power extraction circuit to monitor the preset cable tunnel include: Step S300: Extract data on the probabilities of subsequent events to determine the probability of overload events.

[0063] The overload event probability refers to the probability that the cable current is in an overload state in the subsequent period. The processing terminal extracts data from the subsequent event probability to determine the probability that the cable current is in an overload state in the subsequent period, which is the overload event probability.

[0064] Step S301: Determine whether the probability of an overload event is greater than the preset overload probability threshold.

[0065] The overload probability threshold refers to the lower limit of the probability of an overload event that determines the subsequent cable current state as an overload state. Operators conduct pre-experiments by setting different probability thresholds to determine the probability threshold corresponding to the experimental result with the best cable tunnel monitoring effect, which is the overload probability threshold.

[0066] By processing the terminal to determine whether the probability of an overload event is greater than the overload probability threshold, it is determined whether to mark the cable current in the subsequent time period as an overload state. Then, different control methods are selected to control the CT power supply circuit according to the subsequent cable current state, thereby improving the stability of cable tunnel monitoring.

[0067] Step S3011: If it is not greater than, then control the CT power supply circuit according to the preset first sampling frequency and the preset maximum power to monitor the cable tunnel.

[0068] If the processing terminal determines that the probability of an overload event is not greater than the overload probability threshold, then the CT power supply circuit is controlled according to the first sampling frequency and the maximum power supply to monitor the cable tunnel.

[0069] The first sampling rate refers to the basic sampling rate at which the CT power-collecting circuit samples the cable tunnel when the supercapacitor is in an energy-rich state and the supercapacitor voltage is greater than the first voltage threshold. It is determined by the operator based on the sampling accuracy requirements of the cable tunnel monitoring and the energy consumption of the CT power-collecting circuit.

[0070] Maximum power extraction refers to a power extraction method that, in the current multi-CT power extraction scenario in the CT power extraction circuit, uses the upper limit of the power extraction power of the CT power extraction circuit as the power tracking point, and plans the load of the power extraction circuit loop based on the MPPT algorithm to ensure the maximum power extraction power of the circuit.

[0071] Step S3012: If it is greater than, then obtain the current event time.

[0072] If the processing terminal determines that the probability of an overload event is greater than the overload probability threshold, it indicates that the cable current state in the subsequent time period is judged to be in an overload state. Therefore, the current event time is obtained to provide data support for the subsequent control of the CT power supply circuit.

[0073] The current event time refers to the remaining time between the current time period and the subsequent time period. It is determined by the processing terminal by first retrieving the current real-time time and the start time of the subsequent time period, and then calculating the time difference between the start time of the subsequent time period and the current real-time time.

[0074] Step S3013: Analyze the supercapacitor voltage, current event time, overload event probability, and subsequent average charge to determine the overload sampling rate and capacitor discharge power.

[0075] The overload sampling rate refers to the sampling rate set to generate supercapacitor charge redundancy to offset cable current overload when the cable current is in an overload state in subsequent periods. The capacitor discharge power refers to the discharge power of the supercapacitor during the current event time. All the above data are determined by the processing terminal through analysis of the supercapacitor voltage, current event time, overload event probability, and subsequent average charge. Specific analysis steps are detailed below. Figure 4 The steps in the process.

[0076] Step S3014: Control the CT power supply circuit based on the maximum power draw, overload sampling rate, and capacitor discharge power to monitor the cable tunnel.

[0077] In this process, after determining the overload sampling rate and capacitor discharge power, the CT power extraction circuit is controlled according to the maximum power extraction. At the same time, the CT power extraction circuit is controlled to extract power from the cable tunnel at the overload sampling rate. At this time, the supercapacitor supplies power to the CT power extraction circuit with its supercapacitor discharge power, thereby consuming the supercapacitor's power in advance and reserving energy storage space for the subsequent cable current state. At the same time, after the subsequent overload period ends, the supercapacitor's power is restored to a full-energy state, avoiding overload of the CT power extraction circuit and improving the stability of cable tunnel monitoring.

[0078] Reference Figure 4 The steps for analyzing the supercapacitor voltage, current event time, overload event probability, and subsequent average charge to determine the overload sampling rate and capacitor discharge power include: Step S400: Obtain the duration of the overload period and the current power consumption.

[0079] The overload period duration refers to the length of the subsequent period. The processing terminal first locates the current time, determines the current time period, and then locates the subsequent time period based on the current time period. The length of the subsequent time period is the overload period duration.

[0080] The current power consumption refers to the total power consumption during the current period. It is determined by the processing terminal by first retrieving all current data within the current period, determining the average value of all current data, and then calculating the average current value and the total duration of the current period.

[0081] Step S401: Calculate the difference between the current period's electricity consumption and the subsequent average electricity consumption to determine the average period's overload.

[0082] The average overload during a given period refers to the current excess in subsequent overload periods relative to the current period. It is determined by the processing terminal by calculating the difference between the current power consumption and the average power consumption in subsequent periods.

[0083] Step S402: Calculate the product of the average overload amount and the probability of overload events to determine the capacitor reserve margin.

[0084] Among them, the reserved capacity refers to the supercapacitor energy reserved to cope with the overload of cable current in subsequent periods. It is determined by the processing terminal by calculating the product of the average overload amount in the period and the probability of overload events.

[0085] Step S403: Input the capacitor reserve margin, the current event time, and the preset capacitor rated voltage into the preset power calculation model to determine the capacitor discharge power.

[0086] The rated voltage of the capacitor refers to the rated voltage of the supercapacitor, which is determined by the operator based on the design parameters of the supercapacitor.

[0087] The power calculation model is a formulaic model that determines the capacitor discharge power required to consume the capacitor's reserve capacity within the current event time by calculating the capacitance and flow rate, the current event time, and the capacitor's rated voltage. The specific model formula is as follows: .

[0088] In the formula, This refers to the capacitor discharge power. Leave a margin for the capacitor. This is the rated voltage of the capacitor. This is the current event time.

[0089] The capacitor discharge power is consistent with the capacitor discharge power in step S3013, and is determined by the processing terminal through the capacitor reserve margin, current event time, and capacitor rated voltage input power calculation model.

[0090] Step S404: Analyze the overload period duration and the current event time to determine the overload sampling rate.

[0091] The overload sampling rate is consistent with the overload sampling rate in step S3013, and is determined by the processing terminal through analysis of the overload period duration, current event time, current period power consumption, and subsequent average power consumption. Specific analysis steps are detailed below. Figure 5 The steps in the process.

[0092] Reference Figure 5 The steps to determine the overload sampling rate by analyzing the duration of the overload period and the current event time include: Step S500: Obtain the current average current and the overload average current.

[0093] The current average current refers to the average current during the current time period, which is determined by the processing terminal by first retrieving the real-time current data for the current time period and then calculating the average value of the real-time current data within the current time period.

[0094] The average overload current refers to the average current during subsequent overload periods. It is determined by the processing terminal by first retrieving the overload state prediction data for subsequent periods and then calculating the average value of the overload state prediction data.

[0095] Step S501: Input the current average current, the overload average current, and the preset stable power extraction power into the preset power extraction power model to determine the excess power extraction.

[0096] Among them, the stable power extraction power refers to the average power extraction power of the CT power extraction circuit under stable conditions. It is determined by the operator through multiple preliminary experiments to determine the power extraction power obtained by the CT power extraction circuit from the cable tunnel when the cable current is stable, and then the average power extraction power is calculated.

[0097] The power extraction model is a formulaic model based on electromagnetic induction characteristics. It amplifies the power extraction power of the CT power extraction circuit according to the proportional relationship between the overload current and the current average current, and finally determines the excess power extraction power of the subsequent overload time period relative to the current time period. The specific model formula is as follows: .

[0098] In the formula, To draw excessive power, To ensure stable power output, The current average current, This is the average overload current.

[0099] Excess power extraction refers to the amount of power extraction that exceeds the current power extraction during subsequent overload periods. It is calculated and determined by the processing terminal by inputting the current average current, the average overload current, and the stable power extraction into the power extraction model.

[0100] Step S502: Input the excess power draw, overload period duration, current event time, and stable power draw into the preset equal charge-discharge model to determine the total load power.

[0101] The equal charge / discharge model refers to an equation based on the premise that the current supercapacitor's power consumption equals the supercapacitor's power charging during the overload period. The total load power is then calculated by solving the equal charge / discharge equation of the supercapacitor. The specific model formula is as follows: .

[0102] In the formula, Total load power, To ensure stable power output, To draw excessive power, The duration of the overload period, This is the current event time.

[0103] Total load power refers to the total load power of the CT power extraction circuit, including the basic load power and the power used for sampling the cable tunnel. It is determined by the processing terminal by inputting the excess power extraction, overload period duration, current event time, and stable power extraction into the equal charge-discharge model. Based on the equal charge-discharge relationship of the supercapacitor, an equation is constructed to solve for the total load power, ensuring that the supercapacitor reaches a fully charged state again after the subsequent overload period ends. This avoids overcharging of the supercapacitor and overload of the CT power extraction circuit, thereby improving the stability of cable tunnel monitoring.

[0104] Step S503: Calculate the difference between the total load power and the preset base load power to determine the tunnel sampling power.

[0105] Among them, the basic load power refers to the basic energy consumption power of the CT power supply circuit excluding the sampling power of the cable tunnel. It is determined by the operator through actual measurement of the operating power of the remaining circuit modules after disconnecting the sampling-related circuits in the CT power supply circuit.

[0106] Tunnel sampling power refers to the operating power of the sampling module in the CT power supply circuit, which is determined by the operator by calculating the difference between the total load power and the basic load power.

[0107] Step S504: Calculate the quotient of the tunnel sampling power and the preset power conversion coefficient to determine the overload sampling rate.

[0108] Among them, the power conversion coefficient refers to the conversion coefficient between tunnel sampling power and overload sampling rate. It is determined by the operator through pre-experimentation by setting different sampling rates, measuring the energy consumption power corresponding to different sampling rates, and then calculating the fitting relationship between the sampling rate and the overload sampling rate.

[0109] The overload sampling rate is consistent with the overload sampling rate in step S404, and is determined by the processing terminal by calculating the quotient of the tunnel sampling rate and the power conversion coefficient.

[0110] Reference Figure 6 The steps for analyzing the event probability and average power consumption over a given time period, and controlling the CT power extraction circuit to monitor the cable tunnel include: Step S600: Extract data on the event probability and average electricity consumption during the time period to determine the probability and electricity consumption of subsequent light loads.

[0111] The probability of subsequent light load refers to the probability that the cable current is in a light load state in the subsequent period of the current period. It is determined by the processing terminal by extracting the probability of light load in the subsequent period from the event probability of the time period.

[0112] The subsequent light load power refers to the average power of the cable current when it is in a light load state during the subsequent time period of the current time period. It is determined by the processing terminal by extracting the light load average power of the subsequent time period from the average power of the current time period.

[0113] Step S601: Determine whether the probability of subsequent light load is greater than the preset light load probability threshold.

[0114] The light load probability threshold refers to the lower limit threshold for determining the cable current state in subsequent periods as a light load state. Operators conduct pre-experiments by setting different probability thresholds to determine the optimal probability threshold for cable tunnel monitoring stability, which is the light load probability threshold.

[0115] By processing the terminal to determine whether the probability of subsequent light load is greater than the light load probability threshold, it is determined whether the cable current state in the subsequent period should be classified as light load. Then, different sampling rates are adopted to monitor the cable tunnel according to the state of the cable current in the subsequent period, thereby improving the stability of cable tunnel monitoring.

[0116] Step S6011: If it is not greater than, then control the CT power supply circuit according to the preset second sampling rate and the preset maximum power supply to monitor the cable tunnel.

[0117] If the processing terminal determines that the probability of subsequent light load is not greater than the light load probability threshold, it indicates that there is no need to adjust the sampling rate of the cable tunnel. Therefore, the CT power supply circuit is controlled to draw power from the cable according to the maximum power, and the cable tunnel is sampled at the second sampling rate. Thus, different cable tunnel sampling rates are selected according to the charge of the supercapacitor, thereby improving the sampling accuracy of the cable tunnel.

[0118] The second tunnel sampling rate refers to the basic sampling rate used when monitoring cable tunnels when the supercapacitor voltage is between the energy-rich state and the power-deficient state. It is determined by the operator based on the sampling energy consumption and cable current stability corresponding to different sampling rates.

[0119] The maximum power draw is the same as the maximum power draw in step S3011.

[0120] Step S6012: If it is greater than, then obtain the current remaining time, the current capacitor charge, and the capacitor charging power.

[0121] If the processing terminal determines that the probability of a subsequent light load is greater than the light load probability threshold, it indicates that the cable current state in the subsequent period is judged to be a light load state. Therefore, the current remaining time, current capacitor charge and capacitor charging power are obtained to provide data support for the subsequent determination of the corrected sampling rate.

[0122] The remaining time is consistent with the current event time in step S3012. The processing terminal determines the remaining time of the current time period by locating the time period in which the current real-time time is located.

[0123] The current capacitor charge refers to the real-time charge of the supercapacitor, which is determined by the processing terminal by first obtaining the real-time voltage of the supercapacitor and then calculating it according to the capacitor energy storage formula.

[0124] The capacitor charging power refers to the average charging power of the supercapacitor within the current time period. It is determined by the processing terminal by first obtaining the increase in the supercapacitor's charge within the current time period, and then calculating the quotient of the charge increase and the time period corresponding to the charge increase.

[0125] Step S6013: Input the current remaining time, current capacitor charge, and capacitor charging power into the preset capacitor charging model to determine the light-load capacitor charge.

[0126] The capacitor charging model refers to a formula model that first determines the increase in supercapacitor charge within the current remaining time by multiplying the current remaining time by the capacitor charging power, then calculates the sum of the increase in charge and the current charge, and finally determines the light-load capacitor charge of the supercapacitor at the end of the current time period and the beginning of the subsequent light-load time period. The specific model formula is as follows: .

[0127] In the formula, For light-load capacitor charge, This represents the current capacitor charge. Power for charging the capacitor. This represents the remaining time.

[0128] The light-load capacitor charge refers to the charge of the supercapacitor at the end of the current time period and the beginning of the next light-load time period. It is calculated and determined by the processing terminal by inputting the current remaining time, the current capacitor charge, and the capacitor charging power into the capacitor charging model.

[0129] Step S6014: Determine whether the charge of the lightly loaded capacitor is greater than the first voltage threshold.

[0130] Specifically, by processing the terminal to determine whether the charge of the light-load capacitor is greater than the first voltage threshold, it is determined whether the charge of the supercapacitor can reach a full-capacity state at the beginning of the subsequent time period under the premise that the cable current is in a light-load state in the subsequent time period, so as to cope with the light-load situation. Thus, the sampling rate of the cable tunnel is determined based on the charge of the light-load capacitor, thereby improving the monitoring accuracy of the cable tunnel.

[0131] Step S6015: If it is greater than the second sampling rate and the maximum power, the CT power supply circuit is controlled to monitor the cable tunnel.

[0132] If the processing terminal determines that the charge of the light-load capacitor is greater than the first voltage threshold, it indicates that under the premise that the cable current is in a light-load state during the subsequent time period, the charge of the supercapacitor can reach a high-energy state at the beginning of the subsequent time period. Therefore, it is not necessary to reduce the sampling rate of the cable tunnel. Thus, the CT power-taking circuit is controlled to take power from the cable according to the maximum power, and the cable tunnel is sampled at the second sampling rate. In this way, different cable tunnel sampling rates are selected according to the charge of the supercapacitor, thereby improving the sampling accuracy of the cable tunnel.

[0133] Step S6016: If it is not greater than, then input the first charging threshold, the second sampling rate and the light-load capacitor power into the preset sampling adjustment model to determine the corrected sampling rate.

[0134] The sampling adjustment model refers to a formula model that adjusts the base second sampling rate based on the light-load capacitor charge. The specific model formula is as follows: .

[0135] In the formula, To correct the sampling rate, For the second sampling rate, For light-load capacitor charge, This is the first charging threshold.

[0136] The corrected sampling rate refers to the cable tunnel sampling rate after the light-load capacitor power is reduced. It is calculated and determined by the processing terminal by inputting the first charging threshold, the second sampling rate, and the light-load capacitor power into the sampling adjustment model.

[0137] Step S6017: Control the CT power supply circuit according to the corrected sampling rate and maximum power supply to monitor the cable tunnel.

[0138] In this process, after determining the corrected sampling rate, the CT power supply circuit is controlled to draw power from the cable according to the maximum power, and the cable tunnel is sampled using the corrected sampling rate. This allows for the selection of different cable tunnel sampling rates based on the supercapacitor's charge, thereby improving the sampling accuracy of the cable tunnel.

[0139] Reference Figure 7 The steps for controlling the CT power supply circuit to monitor cable tunnels include analyzing supercapacitor voltage, predicted time period data, and time period event probabilities. Step S700: Filter the event probability and predicted time period data according to the preset power supply event threshold and the preset waiting time to determine the rechargeable time period, the probability of the rechargeable time period, the duration of the rechargeable time period, and the earliest recharge time.

[0140] Among them, the power supply event threshold refers to the probability and lower limit threshold of the overload probability and the stability probability of the backward time period of the current time period being judged as a power supply event. The operator determines the optimal probability and threshold for cable tunnel detection by setting different probabilities and thresholds through pre-experiments, which is the power supply event threshold.

[0141] Waiting time refers to the time a supercapacitor can wait to be recharged when it is in a depleted state. The operator adjusts the supercapacitor voltage to the second voltage threshold and controls the CT power supply circuit to conduct a preliminary experiment at the lowest sampling rate under light load conditions of the cable current to determine the running time of the CT power supply circuit under light load conditions, which is the waiting time.

[0142] The rechargeable period refers to the time period within the backward prediction period of the current time period that the supercapacitor can be charged. The processing terminal first extracts the predicted operation data based on the waiting time, then calculates the sum of the overload probability and the stability probability corresponding to each time period in the extracted data, and filters the probability sum according to the power supply event threshold to determine the backward time period that can be powered, which is the rechargeable period.

[0143] The charging period probability refers to the charging probability during a charging period, which is determined by the processing terminal by calculating the probability of overload and light load corresponding to the charging period.

[0144] The charging period duration refers to the length of the charging period, which is determined by the processing terminal by calculating the charging period duration.

[0145] The earliest charging time refers to the start time of the nearest available charging time period to the current time period. The processing terminal first calculates the time distance between each available charging time period and the current time period, and then determines the start time of the available charging time period corresponding to the shortest time distance as the earliest charging time.

[0146] Step S701: Calculate the product of the charging period duration and the charging period probability to determine the circuit charging expectation.

[0147] Among them, the circuit charging expectation refers to the expected value of the charging time of the CT power supply circuit, which is determined by the processing terminal by calculating the product of the charging period duration and the charging period probability.

[0148] Step S702: Calculate the ratio of the expected circuit charging time to the available waiting time to determine the charging period density.

[0149] Among them, the charging time density refers to the density of charging time periods within the waiting time, which is determined by the processing terminal through the ratio of the expected charging time to the waiting time.

[0150] Step S703: Calculate the product of the preset minimum sampling power and the earliest charging time to determine the minimum sampling power.

[0151] The minimum sampling power refers to the minimum sampling power consumption for sampling cable tunnels. The operator first determines the minimum effective sampling rate for sampling cable tunnels based on the sampling accuracy requirements of the cable tunnels, and then determines the corresponding CT power consumption based on the minimum effective sampling rate, which is the minimum sampling power.

[0152] The minimum sampling power refers to the lower limit of the supercapacitor power required for the CT power-taking circuit to sample the cable tunnel at the lowest sampling rate. It is determined by the processing terminal by calculating the product of the minimum sampling power and the earliest charging time.

[0153] Step S704: Analyze the available charging time period, minimum sampling power, and charging time period density, and control the CT power extraction circuit to monitor the cable tunnel.

[0154] After determining the minimum sampling power, the available charging time period, minimum sampling power, and charging time density are analyzed to control the CT power extraction circuit for monitoring the cable tunnel. Specific analysis steps are detailed below. Figure 8 The steps in the process.

[0155] Reference Figure 8 The steps for controlling the CT power extraction circuit to monitor cable tunnels include analyzing the available charging time periods, minimum sampling power, and charging time density. Step S800: Obtain real-time capacitor charge.

[0156] The real-time capacitor charge is the same as the real-time capacitor charge in step S6012. It is determined by the processing terminal by first obtaining the real-time voltage of the supercapacitor and then calculating it according to the capacitor energy storage formula.

[0157] Step S801: Determine whether the real-time capacitor charge is greater than the minimum sampled charge.

[0158] Specifically, by processing the terminal to determine whether the real-time capacitor charge is greater than the minimum sampling charge, it can be determined whether the CT power supply circuit needs to enter a sleep state. Then, based on the supercapacitor charge, the CT power supply circuit is controlled to monitor the cable tunnel, thereby improving the stability of cable tunnel monitoring.

[0159] Step S8011: If it is not greater than, then extract data from the rechargeable period to determine the circuit wake-up point.

[0160] If the processing terminal determines that the real-time capacitor charge is not greater than the minimum sampling charge, it indicates that the supercapacitor charge is insufficient and cannot support the sampling requirements of the cable tunnel. Therefore, data is extracted during the rechargeable period to determine the circuit wake-up point and provide data support for the subsequent timed wake-up of the CT power supply circuit.

[0161] The circuit wake-up point refers to the time point at which the CT power supply circuit is periodically woken up after it has entered sleep mode. The processing terminal extracts data from the rechargeable periods, determines the start time of each rechargeable period, and then integrates all the start times to determine the final point.

[0162] Step S8012: Control the CT power supply circuit to go into sleep mode, and wake up the CT power supply circuit according to the circuit wake-up point to monitor the cable tunnel.

[0163] In this process, after determining the circuit wake-up point, the CT power supply circuit is controlled to go into sleep mode. The CT power supply circuit is then woken up periodically according to the circuit wake-up point to monitor the cable current until the cable current is higher than the light load state. This allows the CT power supply circuit to be woken up periodically based on the backward rechargeable time period, thus avoiding the system from getting stuck in a deadlock state when the cable is lightly loaded and improving the stability of cable tunnel monitoring.

[0164] Step S8013: If it is greater than the minimum sampling rate, adjust the minimum sampling rate upward according to the charging period density to determine the charging sampling rate.

[0165] If the processing terminal determines that the real-time capacitor charge is greater than the minimum sampled charge, it indicates that the supercapacitor charge meets the monitoring requirements of the cable tunnel. Therefore, the quotient of the dense charging threshold and the charging period density is calculated to determine the sampling correction factor, providing data support for the subsequent determination of the charging sampling rate.

[0166] The charging sampling rate refers to the sampling rate when the CT power-taking circuit samples the cable tunnel during periods of light cable current load. It is determined by the processing terminal by adjusting the minimum sampling rate upwards based on the charging time density. The specific adjustment formula is as follows: .

[0167] In the formula, For charging sampling rate, The lowest sampling rate, This refers to the density during the charging period.

[0168] Step S8014: Control the CT power supply circuit according to the charging sampling rate and the preset maximum CT power supply to monitor the cable tunnel.

[0169] The maximum CT power draw is consistent with the maximum power draw in step S3011.

[0170] After determining the charging sampling rate, the CT power supply circuit is controlled to draw power from the cable at the maximum CT power supply, and the cable tunnel is sampled at the charging sampling rate to monitor the cable tunnel and improve the stability of cable tunnel monitoring.

[0171] Based on the same inventive concept, embodiments of this application provide a cable tunnel monitoring system based on CT power supply, including: The acquisition module is used to acquire supercapacitor voltage, historical operating data, current time period data, current event time, overload period duration and current time period power, current average current, overload average current, current remaining time, current capacitor power, capacitor charging power and real-time capacitor power. Memory for storing programs for a cable tunnel monitoring method based on CT power extraction; The processor and memory can load and execute programs to implement a cable tunnel monitoring method based on CT power supply.

[0172] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0173] Based on the same inventive concept, embodiments of this application provide a terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded and executed by the processor to perform a cable tunnel monitoring method based on CT power supply.

[0174] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0175] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A cable tunnel monitoring method based on CT power extraction, characterized in that, include: Acquire supercapacitor voltage and historical operating data; Historical operational data is analyzed to determine the data for the forecast period, the probability of events during the period, and the average power consumption during the period. Determine whether the supercapacitor voltage is greater than a preset first voltage threshold. If the values ​​are greater than 1, then the event probability and average electricity consumption during the time period are extracted to determine the probability of subsequent events and the average electricity consumption during the subsequent time period. The supercapacitor voltage, subsequent event probability, and subsequent average charge are analyzed to determine the overload event probability, current event time, overload sampling rate, and capacitor discharge power, so as to control the preset CT power supply circuit to monitor the preset cable tunnel. If it is not greater than, then determine whether the supercapacitor voltage is greater than the preset second voltage threshold. If it is greater than that, the probability of events and the average power consumption during the time period are analyzed to determine the probability of subsequent light load, the power consumption of subsequent light load, the capacity of light load capacitor and the corrected sampling rate, so as to control the CT power supply circuit to monitor the cable tunnel. If it is not greater than, the supercapacitor voltage, predicted time period data and time period event probability are analyzed to determine the chargeable time period, circuit charging expectation, charging time period density and minimum sampling power, so as to control the CT power supply circuit to monitor the cable tunnel.

2. The cable tunnel monitoring method based on CT power extraction according to claim 1, characterized in that, The steps for analyzing historical operational data to determine forecast period data, period event probabilities, and average period electricity consumption include: Historical operational data is divided according to a preset time period to determine the historical data for each time period; Get the data for the current time period; Input the current time period data, historical time period data, preset current overload threshold and preset current light load threshold into the preset current prediction model to determine the prediction time period data and the probability of time period events. Data analysis is performed on the forecast period data to determine the average electricity consumption during the period.

3. The cable tunnel monitoring method based on CT power extraction according to claim 1, characterized in that, The steps for analyzing supercapacitor voltage, current event time, overload event probability, and subsequent average charge to determine the overload sampling rate and capacitor discharge power include: Get the duration of the overload period and the current battery level; Calculate the difference between the current period's electricity consumption and the subsequent average electricity consumption to determine the average period's overload. Calculate the product of the average overload amount over the time period and the probability of overload events to determine the capacitor reserve margin; Input the capacitor's reserve capacity, the current event time, and the preset rated capacitor voltage into the preset power calculation model to determine the capacitor's discharge power; The overload period duration and the current event time are analyzed to determine the overload sampling rate.

4. The cable tunnel monitoring method based on CT power extraction according to claim 3, characterized in that, The steps to determine the overload sampling rate by analyzing the duration of the overload period and the current event time include: Obtain the current average current and the overload average current; The current average current, the overload average current, and the preset steady power extraction power are input into the preset power extraction power model to determine the excess power extraction power. The excess power draw, overload period duration, current event time, and stable power draw are input into a preset equal-volume charging and discharging model to determine the total load power. Calculate the difference between the total load power and the preset base load power to determine the tunnel sampling power; Calculate the quotient of the tunnel sampling power and the preset power conversion coefficient to determine the overload sampling rate.

5. The cable tunnel monitoring method based on CT power extraction according to claim 1, characterized in that, The steps for controlling the CT power extraction circuit to monitor cable tunnels include analyzing the available charging time periods, minimum sampling power, and charging time density. Obtain real-time capacitor charge; Determine whether the real-time capacitor charge is greater than the minimum sampled charge. If it is not greater than, then data is extracted from the rechargeable period to determine the circuit wake-up point; The CT power supply circuit is put into sleep mode and is woken up according to the circuit wake-up point to monitor the cable tunnel. If it is greater than that, the minimum sampling rate is adjusted upward according to the charging period density to determine the charging sampling rate; The CT power supply circuit is controlled based on the charging sampling rate and the preset maximum CT power supply to monitor the cable tunnel.

6. A cable tunnel monitoring system based on CT power supply, characterized in that, include: The acquisition module is used to acquire supercapacitor voltage and historical operating data; A memory for storing the program of the cable tunnel monitoring method based on CT power extraction as described in any one of claims 1 to 5; The processor and the program in the memory can be loaded and executed by the processor to implement the cable tunnel monitoring method based on CT power supply as described in any one of claims 1 to 5.

7. A terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 5 for monitoring cable tunnels based on CT power supply.

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