Cable safety monitoring management and control system and method

Abstract

The invention discloses a cable safety monitoring management and control system and method, and relates to the technical field of cable safety monitoring. Comprising a data acquisition module which comprises a sensor sub-module and a signal conditioning and conversion sub-module, the data acquisition module performs data acquisition based on the sensor sub-module, and analog signals output by a sensor are processed through the signal conditioning and conversion sub-module; the data transmission module comprises a wired transmission sub-module and a wireless transmission sub-module and is used for realizing data transmission; and the data processing and analysis module comprises a real-time data monitoring sub-module and a historical data analysis sub-module. According to the invention, the collected data is preprocessed by using a wavelet transform threshold denoising algorithm, noise interference is effectively removed, historical data analysis and trend prediction are carried out by using a time sequence analysis method, potential problems can be found in advance, and early warning of cable faults is realized; according to real-time state evaluation based on a fuzzy comprehensive evaluation method, multiple factors are comprehensively considered, and the overall operation state of the cable is judged more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of cable safety monitoring, and particularly to a cable safety monitoring and control system and method. Background Art

[0002] In modern society, electricity and communication are two key infrastructures, and as an important medium for power transmission and communication signal transmission, the safe and stable operation of cables is of crucial importance. Power cables are responsible for delivering electrical energy from power generation stations to various power consumption terminals, ensuring the normal power supply for industrial production, commercial activities, and residential life. Communication cables carry a large amount of information transmission tasks such as voice, data, and images, and are a key component for realizing the interconnection of modern communication networks. Once a cable fails, it will not only affect the stability of power supply and communication services, but may also cause huge economic losses and social impacts.

[0003] Traditional cable monitoring methods usually adopt the following ways:

[0004] ① Manual inspection: Traditional cable monitoring mainly relies on the way of regular manual inspection. The inspection personnel conduct patrol inspections on the cable lines at a certain cycle, and judge the operating status of the cables by observing the appearance and detecting the temperature, etc. This method has many drawbacks. For example, the inspection cycle is relatively long, and potential problems of the cables cannot be detected in real time; the subjectivity of manual detection is relatively strong, and the detection results are easily affected by the experience and skill level of the inspection personnel; and for some hidden faults, such as partial discharge and insulation aging inside the cables, it is very difficult to detect them in time through manual inspection.

[0005] ② Sensor detection: Although there are also some simple sensors applied to cable monitoring, such as temperature sensors, current transformers, etc., these sensors often have single functions and can only provide limited information. For example, ordinary temperature sensors can only measure the surface temperature of the cables and cannot accurately reflect the internal temperature distribution of the cables; current transformers are mainly used to measure the magnitude of the current, and cannot comprehensively monitor other operating parameters of the cables, such as stress changes and voltage fluctuations. In addition, these simple sensors usually do not have data processing and transmission functions, and it is necessary for manual data reading, recording, and analysis, with low efficiency and easy data errors. Summary of the Invention

[0006] The purpose of the present invention is to solve the drawbacks existing in the prior art, and to propose a cable safety monitoring and control system and method.

[0007] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0008] A cable safety monitoring and control system includes:

[0009] The data acquisition module includes a sensor sub-module and a signal conditioning and conversion sub-module. The data acquisition module collects data based on the sensor sub-module and processes the analog signals output by the sensors through the signal conditioning and conversion sub-module.

[0010] The data transmission module includes a wired transmission sub-module and a wireless transmission sub-module to achieve data transmission.

[0011] The data processing and analysis module includes a real-time data monitoring sub-module and a historical data analysis sub-module. Based on the real-time data monitoring sub-module, the raw data collected is denoised, and the operating state of the cable is judged in real time according to the preprocessed data. Based on the historical data analysis sub-module, the time series analysis method is used to perform trend analysis and prediction on the historical data of the cable.

[0012] The alarm and control module includes an alarm strategy formulation sub-module and a control strategy execution sub-module. An alarm strategy is generated based on the alarm strategy formulation sub-module, and control is performed based on the control strategy execution sub-module.

[0013] The human-computer interaction module includes a monitoring interface sub-module and a permission management sub-module. Data display is provided based on the monitoring interface sub-module, and the permission management of access users is realized based on the permission management sub-module.

[0014] Preferably, the sensor sub-module of the data acquisition module includes:

[0015] The temperature sensor group uses thermocouple temperature sensors to reflect the heating condition of the cable in real time by collecting temperature data at different positions. For long-distance cables, a group of temperature sensors is set every L1 meters to form a temperature monitoring network. Let the position of the i-th sensor be x i , then the temperature value T i (t) at this position is expressed as: T i (t) = f T (E i (t)), where f T is the inverse function relationship determined according to the Seebeck formula, and E i (t) is the electromotive force collected by this sensor at time t.

[0016] The stress sensor group selects strain gauge stress sensors and pastes them on the surface of the cable outer skin. Based on the strain effect, when the cable is deformed by an external force, the resistance value R of the strain gauge changes, and the stress distribution of the cable is indirectly obtained by measuring the resistance change. Stress sensors are deployed at the bending and branching parts of the cable, and each sensor corresponds to a coordinate position (x, y) to construct a two-dimensional stress monitoring matrix. At time t, the stress value σ(x, y, t) at the position (x, y) is calculated by the formula and is calculated as follows;

[0017] A voltage sensor group uses Hall voltage sensors to measure the voltage of a cable line in real time.

[0018] Preferably, the signal conditioning and conversion sub-module of the data acquisition module includes:

[0019] An analog filter circuit unit uses a low-pass filter to filter out high-frequency interference signals for the analog signal output by the sensor;

[0020] An analog-to-digital conversion unit selects a high-speed and high-precision ADC chip to convert the conditioned analog signal into a digital signal.

[0021] Preferably, for the wired transmission sub-module of the data transmission module, in the local area network of the cable monitoring system, the CAN bus is used as the main wired communication method; the CAN bus follows the ISO / OSI model, and its protocol layering includes the physical layer, data link layer, and application layer; the physical layer defines the transmission medium and level standard of the signal, and uses the cyclic redundancy check algorithm to ensure the accuracy of data transmission; for the data transmission between the remote monitoring center and the local monitoring device, industrial Ethernet technology is used.

[0022] Preferably, for the wireless transmission sub-module of the data transmission module, the ZigBee technology is used to build a wireless sensor network as a backup for wired transmission; the ZigBee network adopts a star topology structure, the coordinator is responsible for establishing and managing the network, the router realizes the relay transmission of data, and the end nodes are connected to each sensor.

[0023] Preferably, for the real-time data monitoring sub-module of the data processing and analysis module, the collected raw data is denoised using the wavelet transform threshold denoising algorithm; let the original signal be f(t), and its wavelet transform coefficient be w j,k , j is the scale parameter, k is the translation parameter, and the wavelet coefficient after threshold denoising is obtained through processing by the soft threshold function:

[0024]

[0025] l is the threshold, and the denoised signal is reconstructed through inverse wavelet transform;

[0026] Missing data is filled using linear interpolation; for the data missing point t m in the time series, the known data points before and after it are (t m-1 , y m+1 ), then the interpolated data value

[0027] Preferably, the real-time data monitoring sub-module determines the operating status of the cable in real time according to the pre-processed data; sets the threshold ranges of temperature, stress, and voltage parameters, and triggers an alarm mechanism when any parameter exceeds the threshold. The temperature threshold is set to t y , t y = 80 °C. When the temperature value T i (t) > t y at a certain position at a certain moment, a high-temperature alarm message is sent, and the alarm time and location are recorded; at the same time, combining the change trends of multiple parameters, the fuzzy comprehensive evaluation method is used to evaluate the overall operating status of the cable; the mathematical model of fuzzy comprehensive evaluation is:

[0028]

[0029] where B is the evaluation result vector, W is the weight vector, and R is the evaluation matrix.

[0030] Preferably, the historical data analysis sub-module stores historical monitoring data using a relational database management system; the database table structure design includes a sensor information table, a data acquisition table, and an alarm record table; the data query efficiency is improved by establishing indexes;

[0031] The time series analysis method is used to analyze and predict the historical data of the cable as follows:

[0032] X t = c + μ1X t-1 + μ2X t-2 + … + μ p X t-p + ∈ t - θ1∈ t-1 - θ2∈ t-2 - … - θ q ∈ t-q , where X t is the observed value at time t, c is the constant term, μ i is the autoregressive coefficient, θ i is the moving average coefficient, and ∈ t is the white noise sequence; the model parameters are estimated by the least squares method to predict the status of the cable in the future for a period of time.

[0033] Preferably, the control strategy execution sub-module of the alarm and control module, when a cable fault is detected, automatically isolates the fault area by remotely controlling the circuit breaker or contactor; the control instruction is sent to the corresponding control device through the communication network, and its execution time does not exceed 100 ms.

[0034] Preferably, the management and control method of this system includes the following steps:

[0035] S1: The data acquisition module collects data based on the sensor sub-module and processes the analog signals output by the sensor through the signal conditioning and conversion sub-module;

[0036] S2: The data transmission module transmits data through the wired transmission sub-module and the wireless transmission sub-module;

[0037] S3: The data processing and analysis module performs denoising processing on the collected raw data based on the real-time data monitoring sub-module, and judges the operating state of the cable in real time according to the preprocessed data;

[0038] S4: Based on the historical data analysis sub-module, use the time series analysis method to perform trend analysis and prediction on the historical data of the cable;

[0039] S5: The alarm and control module generates alarm strategies based on the alarm strategy formulation sub-module;

[0040] S6: Perform control based on the control strategy execution sub-module.

[0041] The beneficial effects of the present invention are as follows:

[0042] 1. The present invention can collect key parameters such as the temperature, stress, and voltage of the cable in real time through a variety of sensors, can capture the subtle changes in the operating state of the cable in a timely manner, comprehensively monitor the operating condition of the cable from different angles, and realize the real-time monitoring of the cable safety.

[0043] 2. The present invention uses the wavelet transform threshold denoising algorithm to preprocess the collected data, effectively removes noise interference, uses the time series analysis method for historical data analysis and trend prediction, can discover potential problems in advance, and realizes the early warning of cable faults; based on the real-time state evaluation of the fuzzy comprehensive evaluation method, considering multiple factors, more accurately judges the overall operating state of the cable.

[0044] 3. The system of the present invention can flexibly adjust settings such as the installation position of the sensor, monitoring parameters, and acquisition frequency according to the characteristics of different types of cables and the operating environment. For example, for old cable lines, the number of monitoring points and acquisition frequency can be appropriately increased; for newly commissioned cables, customized configuration can be carried out according to their design standards and operating requirements to meet the cable monitoring needs in different scenarios. Description of the Drawings

[0045] Figure 1 is a flowchart of a cable safety monitoring and control method proposed by the present invention. Detailed Embodiments

[0046] The technical solutions of the present invention will be further described in detail below in conjunction with the specific embodiments.

[0047] Embodiment 1:

[0048] A cable safety monitoring and control system, comprising:

[0049] A data acquisition module, including a sensor sub-module and a signal conditioning and conversion sub-module. The data acquisition module acquires data based on the sensor sub-module and processes the analog signal output by the sensor through the signal conditioning and conversion sub-module;

[0050] A data transmission module, including a wired transmission sub-module and a wireless transmission sub-module, for realizing data transmission;

[0051] A data processing and analysis module, including a real-time data monitoring sub-module and a historical data analysis sub-module. Based on the real-time data monitoring sub-module, denoising processing is performed on the acquired raw data, and the operating state of the cable is judged in real time according to the preprocessed data. Based on the historical data analysis sub-module, time series analysis methods are used to perform trend analysis and prediction on the historical data of the cable;

[0052] An alarm and control module, including an alarm strategy formulation sub-module and a control strategy execution sub-module. An alarm strategy is generated based on the alarm strategy formulation sub-module, and control is performed based on the control strategy execution sub-module;

[0053] A human-computer interaction module, including a monitoring interface sub-module and a permission management sub-module. Data display is provided based on the monitoring interface sub-module, and permission management of access users is realized based on the permission management sub-module.

[0054] Among them, the sensor sub-module of the data acquisition module includes:

[0055] A temperature sensor group, using thermocouple temperature sensors, is uniformly arranged at key parts of the cable, such as cable joints, dense areas, etc.; by collecting temperature data at different positions, the heating condition of the cable is reflected in real time; for long-distance cables, a group of temperature sensors is set every L1 meters (L1 is determined according to the cable length and characteristics) to form a temperature monitoring network; let the position of the i-th sensor be x i , then the temperature value T i (t) at this position is expressed as: T i (t) = f T (E i (t)), where f T is the inverse function relationship determined according to the Seebeck formula, and E i (t) is the electromotive force collected by this sensor at time t;

[0056] A stress sensor group, using strain gauge stress sensors, is pasted on the surface of the cable outer sheath; based on the strain effect, when the cable is deformed under external force, the resistance value R of the strain gauge changes, and by measuring the resistance change, the stress distribution of the cable is indirectly obtained; stress sensors are deployed at key stress-prone parts such as the bending and branching of the cable, and each sensor corresponds to a coordinate position (x, y) to construct a two-dimensional stress monitoring matrix. At time t, the stress value σ(x, y, t) at position (x, y) is calculated by the formula Calculated;

[0057] A voltage sensor group uses Hall voltage sensors to measure the voltage of the cable line in real time.

[0058] Among them, the signal conditioning and conversion sub-module of the data acquisition module includes:

[0059] An analog filter circuit unit, for the analog signal output by the sensor, uses a low-pass filter to filter out high-frequency interference signals;

[0060] An analog-to-digital conversion unit selects a high-speed and high-precision ADC chip to convert the conditioned analog signal into a digital signal.

[0061] Among them, the wired transmission sub-module of the data transmission module uses the CAN bus as the main wired communication method in the local area network of the cable monitoring system; the CAN bus follows the ISO / OSI model, and its protocol layering includes the physical layer, data link layer, and application layer; the physical layer defines the transmission medium of the signal, level standard, etc., such as using twisted pair for transmission; the data link layer is responsible for data packaging, unpacking, frame checking, etc., and uses the cyclic redundancy check (CRC) algorithm to ensure the accuracy of data transmission; for the data transmission between the remote monitoring center and the local monitoring device, industrial Ethernet technology is used.

[0062] Among them, the wireless transmission sub-module of the data transmission module uses ZigBee technology to construct a wireless sensor network as a backup for wired transmission; the ZigBee network uses a star topology, the coordinator is responsible for establishing and managing the network, the router realizes the relay transmission of data, and the end nodes connect each sensor.

[0063] Among them, the real-time data monitoring sub-module of the data processing and analysis module performs denoising processing on the collected raw data, using the wavelet transform threshold denoising algorithm; let the original signal be f(t), and its wavelet transform coefficient be w j,k (j is the scale parameter, k is the translation parameter), and the wavelet coefficient after threshold denoising Is obtained by processing through the soft threshold function:

[0064]

[0065] Let \(l\) be the threshold, and reconstruct the denoised signal through inverse wavelet transform;

[0066] Fill in the missing data using the linear interpolation method; for the data missing point \(t\) in the time series m , the known data points before and after it are \((t\) m-1 , \(y\) m+1 ), then the interpolated data value

[0067] The real-time data monitoring sub-module judges the operating state of the cable in real time according to the preprocessed data; set the threshold ranges of parameters such as temperature, stress, and voltage. When any parameter exceeds the threshold, trigger the alarm mechanism. For example, the temperature threshold is set to \(t\) y , \(t\) y = 80 °C. When the temperature value \(T\) i (\(t\)) > \(t\) y at a certain moment and position, send out a high-temperature alarm message, and record the alarm time and position; at the same time, combine the change trends of multiple parameters, and use the fuzzy comprehensive evaluation method to evaluate the overall operating state of the cable; the mathematical model of fuzzy comprehensive evaluation is:

[0068]

[0069] Among them, \(B\) is the evaluation result vector, \(W\) is the weight vector, and \(R\) is the evaluation matrix.

[0070] The historical data analysis sub-module uses a relational database management system (such as MySQL) to store historical monitoring data. The database table structure design includes a sensor information table (recording information such as sensor number, type, installation location, etc.), a data acquisition table (recording data acquisition time, values of each sensor, etc.), and an alarm record table (recording alarm time, alarm type, alarm location, etc.). Improve the data query efficiency by establishing indexes. For example, establish a clustered index on the data acquisition time and a non-clustered index on the sensor number;

[0071] Use time series analysis methods to perform trend analysis and prediction on the historical data of the cable, specifically as follows:

[0072] \(X\) t = \(c+\mu_1X\) t-1 +\(\mu_2X\) t-2 +…+\(\mu\) p \(X\) t-p +\(\epsilon\) t -\(\theta_1\epsilon\) t-1 -\(\theta_2\epsilon\) t-2 -…-\(\theta\) q \(\epsilon\) t-q (where \(X\) tis the observed value at time t, c is the constant term, μ i is the autoregressive coefficient, θ i is the moving average coefficient, ∈ t is a white noise sequence); the model parameters are estimated by the least squares method to predict the state of the cable in the future for a period of time.

[0073] Among them, the alarm strategy formulation sub-module of the alarm and control module divides the alarm level into three levels according to the severity and influence range of the cable fault: the first-level alarm is an emergency alarm, indicating that the cable is about to have a major fault, which may cause a large-scale power outage or safety accident; the second-level alarm is an important alarm, indicating that the cable has a relatively serious abnormal situation and needs to be processed in time; the third-level alarm is a general alarm, indicating that the cable has some potential problems that need attention but do not affect normal operation. Different alarm levels correspond to different alarm methods and processing procedures.

[0074] Among them, when the control strategy execution sub-module of the alarm and control module detects that the cable fails, it automatically isolates the fault area by remotely controlling the circuit breaker or contactor; the control instruction is sent to the corresponding control device through the communication network, and its execution time does not exceed 100 ms.

[0075] Embodiment 2:

[0076] A cable safety monitoring and control method includes the following steps:

[0077] S1: The data acquisition module collects data based on the sensor sub-module and processes the analog signal output by the sensor through the signal conditioning and conversion sub-module;

[0078] S2: The data transmission module transmits data through the wired transmission sub-module and the wireless transmission sub-module;

[0079] S3: The data processing and analysis module performs denoising processing on the collected raw data based on the real-time data monitoring sub-module, and judges the operating state of the cable in real time according to the preprocessed data;

[0080] S4: Based on the historical data analysis sub-module, use the time series analysis method to perform trend analysis and prediction on the historical data of the cable;

[0081] S5: The alarm and control module generates an alarm strategy based on the alarm strategy formulation sub-module;

[0082] S6: Perform control based on the control strategy execution sub-module.

[0083] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, making equivalent replacements or changes should be covered within the protection scope of the present invention.

Claims

1. A cable safety monitoring and control system, characterized in that, Including: A data acquisition module, including a sensor sub-module and a signal conditioning and conversion sub-module. The data acquisition module performs data acquisition based on the sensor sub-module and processes the analog signal output by the sensor through the signal conditioning and conversion sub-module; A data transmission module, including a wired transmission sub-module and a wireless transmission sub-module, to achieve data transmission; A data processing and analysis module, including a real-time data monitoring sub-module and a historical data analysis sub-module. Based on the real-time data monitoring sub-module, denoising processing is performed on the collected raw data, and the operating state of the cable is judged in real time according to the preprocessed data. Based on the historical data analysis sub-module, the time series analysis method is used to perform trend analysis and prediction on the historical data of the cable; An alarm and control module, including an alarm strategy formulation sub-module and a control strategy execution sub-module. An alarm strategy is generated based on the alarm strategy formulation sub-module, and control is performed based on the control strategy execution sub-module; A human-computer interaction module, including a monitoring interface sub-module and a permission management sub-module. Data display is provided based on the monitoring interface sub-module, and permission management of access users is realized based on the permission management sub-module.

2. The cable safety monitoring and control system according to claim 1, characterized in that The sensor sub-module of the data acquisition module includes: A temperature sensor group uses thermocouple temperature sensors to collect temperature data at different positions and reflect the heating condition of the cable in real time. For a long-distance cable, a group of temperature sensors is set every L1 meters to form a temperature monitoring network. Let the position of the i-th sensor be x i , then the temperature value T i (t) at this position is expressed as: T i (t) = f T (E i (t)), where f T is the inverse function relationship determined according to the Seebeck formula, and E i (t) is the electromotive force collected by this sensor at time t; A stress sensor group, using strain gauge stress sensors, is pasted on the surface of the cable outer sheath; based on the strain effect, when the cable is deformed by external forces, the resistance value R of the strain gauge changes, and by measuring the resistance change, the stress distribution of the cable is indirectly obtained; stress sensors are deployed at the bending and branching parts of the cable, each sensor corresponding to a coordinate position (x, y), to construct a two-dimensional stress monitoring matrix. At time t, the stress value σ(x, y, t) at position (x, y) is calculated by the formula Calculated; A voltage sensor group, which uses Hall voltage sensors to measure the voltage of the cable line in real time.

3. A cable safety monitoring and control system according to claim 1, characterized in that, The signal conditioning and conversion sub-module of the data acquisition module includes: An analog filter circuit unit, which uses a low-pass filter to filter out high-frequency interference signals for the analog signal output by the sensor; An analog-to-digital conversion unit, which selects a high-speed and high-precision ADC chip to convert the conditioned analog signal into a digital signal.

4. A cable safety monitoring and control system according to claim 1, wherein, The wired transmission sub-module of the data transmission module uses the CAN bus as the main wired communication method in the local area network of the cable monitoring system; the CAN bus follows the ISO / OSI model, and its protocol layering includes the physical layer, the data link layer, and the application layer; the physical layer defines the transmission medium and level standard of the signal, and uses the cyclic redundancy check algorithm to ensure the accuracy of data transmission; for the data transmission between the remote monitoring center and the local monitoring device, industrial Ethernet technology is used.

5. A cable safety monitoring and control system according to claim 1, characterized in that, The wireless transmission sub-module of the data transmission module uses ZigBee technology to build a wireless sensor network as a backup for wired transmission; the ZigBee network uses a star topology, the coordinator is responsible for establishing and managing the network, the router realizes the relay transmission of data, and the terminal node connects each sensor.

6. A cable safety monitoring and control system according to claim 1, characterized in that, The real-time data monitoring sub-module of the data processing and analysis module performs denoising processing on the collected original data, and adopts the wavelet transform threshold denoising algorithm. Let the original signal be f(t), and its wavelet transform coefficient be w j,k , j is the scale parameter, k is the translation parameter, and the wavelet coefficient after threshold denoising is obtained by processing through the soft threshold function: l is the threshold, and the denoised signal is reconstructed by inverse wavelet transform; Fill in the missing data using linear interpolation; for the data missing point t in the time series m , the known data points before and after it are (t m-1 , y m+1 ), then the interpolated data value 7. A cable safety monitoring and control system according to claim 1, characterized in that, The real-time data monitoring sub-module determines the operating status of the cable in real time according to the preprocessed data; sets the threshold ranges of temperature, stress, and voltage parameters, and triggers the alarm mechanism when any parameter exceeds the threshold. The temperature threshold is set to t y , t y = 80 °C. When the temperature value T i (t) > t y at a certain moment and position, a high-temperature alarm message is sent, and the alarm time and position are recorded; at the same time, combining the change trends of multiple parameters, the fuzzy comprehensive evaluation method is used to evaluate the overall operating status of the cable; the mathematical model of fuzzy comprehensive evaluation is as follows: Among them, B is the evaluation result vector, W is the weight vector, and R is the evaluation matrix.

8. A cable safety monitoring and control system according to claim 1, characterized in that, The historical data analysis sub-module uses a relational database management system to store historical monitoring data; the database table structure design includes a sensor information table, a data acquisition table, and an alarm record table; the data query efficiency is improved by establishing indexes; The time series analysis method is used to perform trend analysis and prediction on the historical data of the cable, specifically as follows: X t = c + μ1X t-1 + μ2X t-2 + … + μ p X t-p + ∈ t - θ1∈ t-1 - θ2∈ t-2 - … - θ q ∈ t-q where X t is the observed value at time t, c is the constant term, μ i is the autoregressive coefficient, θ i is the moving average coefficient, and ∈ t is the white noise sequence; the model parameters are estimated by the least squares method to predict the state of the cable over a period of time in the future.

9. A cable safety monitoring and control system according to claim 1, characterized in that, The control strategy execution sub-module of the alarm and control module automatically isolates the fault area by remotely controlling the circuit breaker or contactor when a cable fault is detected; the control instruction is sent to the corresponding control device through the communication network, and its execution time does not exceed 100 ms.

10. A cable safety monitoring and control system according to any one of claims 1-9, characterized in that, The management and control method of this system includes the following steps: S1: The data acquisition module collects data based on the sensor sub-module and processes the analog signals output by the sensor through the signal conditioning and conversion sub-module; S2: The data transmission module transmits data through the wired transmission sub-module and the wireless transmission sub-module; S3: The data processing and analysis module performs denoising processing on the collected raw data based on the real-time data monitoring sub-module, and judges the operating state of the cable in real time according to the preprocessed data; S4: Based on the historical data analysis sub-module, use the time series analysis method to analyze and predict the trend of the cable's historical data; S5: The alarm and control module generates an alarm strategy based on the alarm strategy formulation sub-module; S6: Perform control based on the control strategy execution sub-module.

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