Intelligent cable inspection system and inspection method

Abstract

The invention discloses an intelligent cable inspection system and inspection method, and belongs to the technical field of cable inspection, and the system comprises an Internet of Things module, and an automatic inspection module, a data collection module, a data monitoring module, a continuous monitoring module, a data background storage module and a visualization module which are wirelessly connected through the Internet of Things module. The automatic inspection module comprises a robot carrying an infrared temperature sensor and an unmanned aerial vehicle, the data acquisition module comprises a digital voltage sensor, the continuous monitoring module comprises a humidity sensor, a Hall effect sensor and a direct current leakage current sensor, and the data background storage module comprises a data recording module, a data storage module and a data analysis module. The cable inspection efficiency and accuracy are improved through the processes of automatic inspection, data acquisition, data monitoring, data storage and visualization.

Description

Technical Field

[0001] The invention belongs to the technical field of cable inspection, and in particular relates to an intelligent cable inspection system and an inspection method. Background Art

[0002] Cables include power cables, control cables, compensation cables, shielded cables, high-temperature cables, computer cables, signal cables, coaxial cables, fire-resistant cables, marine cables, mining cables and aluminum alloy cables. They are multi-purpose cables, all of which are composed of single or multiple strands of wires and insulation layers and are used to connect circuits and electrical appliances. Cable intelligence refers to the application of Internet of Things, sensors, data processing and communication technologies to cable systems to achieve cable status monitoring, fault warning and maintenance management functions. Intelligent cable systems are widely used in power, communications, transportation and industrial fields. Their core purpose is to improve the safety, reliability and operation and maintenance efficiency of cables. However, the existing intelligent cable inspections have poor measurement accuracy, and the signals are easily affected by interference from analog signals, which makes it impossible to predict and diagnose abnormal conditions in the power system.

[0003] The prior art discloses an intelligent cable well inspection system with publication number CN114692989A, which includes a pre-shooting module, a data collection module, a line planning module, a control center, several inspection robots, an object recognition module, a data analysis module, an early warning module and a data storage module; the purpose is to arrange a corresponding number of inspection robots to go for inspection according to the inspection line obtained by the line planning module; and to take several high-definition photos of the cable well equipment by adjusting the height and angle of the camera carried by the inspection robot; and to compare the photos with the photos taken by the pre-shooting module; but the system has obvious deficiencies in voltage monitoring, environmental monitoring and visualization of inspection results. At the same time, the system lacks flexibility in inspection and lacks in-depth analysis of the cable status in data processing and analysis. Summary of the invention

[0004] The technical problem solved by the present invention is to overcome the defects in the prior art and provide an intelligent cable inspection system.

[0005] The technical solution adopted by the present invention is as follows:

[0006] The intelligent cable inspection method of the present invention comprises the following steps:

[0007] S1: Automatic inspection, using robots and drones equipped with infrared temperature sensors to perform non-contact temperature detection on cables along a predetermined path;

[0008] S2: Data acquisition, the digital voltage sensor obtains the voltage signal from the cable and transmits the measured voltage signal to the data background through the Internet of Things module;

[0009] S3: Continuous monitoring, the humidity sensor, Hall effect sensor and DC leakage current sensor monitor the humidity around the cable, the magnetic field generated by the current and the insulation resistance status of the cable respectively;

[0010] S4: Data processing: the data monitoring module performs preliminary processing on the received data and transmits it to the data background storage module through the Internet of Things module;

[0011] S5: Data analysis: the data analysis module performs in-depth analysis on the data stored in the data storage module to evaluate the aging and failure rate of the cables;

[0012] S6: Visual display: Generate inspection reports based on data analysis results and display cable status through charts and heat maps.

[0013] Robots and drones adjust the inspection frequency and inspection area according to the actual working status of the cable.

[0014] The data analysis module predicts the future failure trend of the cable based on historical data.

[0015] The intelligent cable inspection system described in the present invention includes an automatic inspection module, a data acquisition module, a data monitoring module, a continuous monitoring module, a data background storage module, a visualization module and an Internet of Things module. The automatic inspection module, the data acquisition module, the data monitoring module, the continuous monitoring module, the data background storage module and the visualization module are wirelessly connected through the Internet of Things module; the data acquisition module and the data monitoring module are both mounted on the automatic inspection module; the continuous monitoring module cooperates with the data acquisition module and the data monitoring module to monitor the cable status.

[0016] The automatic inspection module includes a robot, a drone and an infrared temperature sensor, wherein the infrared temperature sensor is mounted on the robot and the drone.

[0017] The data acquisition module includes a digital voltage sensor, which includes an input module, an analog-to-digital converter, a signal conditioning circuit, a microprocessor and a communication module. The input module is connected to the measured cable, the signal conditioning circuit includes a filtering circuit, a gain adjustment circuit and an anti-interference circuit, and the communication module is connected to the data monitoring module and the Internet of Things module through a digital interface.

[0018] Digital interfaces include I 2 C module, SPI module, RS485 module, Modbus module and CAN bus module.

[0019] The continuous monitoring module includes a Hall effect sensor, a DC leakage current sensor and a humidity sensor. The humidity sensor includes a capacitive humidity sensor, a thermistor humidity sensor and a fiber optic humidity sensor. The capacitive humidity sensor and the thermistor humidity sensor are both installed on the cable sheath and insulation layer, and the fiber optic humidity sensor is embedded outside the cable and placed in the cable environment.

[0020] The data background storage module includes a data recording module, a data storage module and a data analysis module.

[0021] The IoT modules include NB-IoT modules, LoRa modules and Wi-Fi modules.

[0022] The present invention has the following beneficial effects:

[0023] 1. Digital voltage sensors can improve measurement accuracy without being interfered by analog signals, ensuring the stability of measurement data in industrial sites and high electromagnetic interference environments. They directly output data through digital interfaces, making it easy to integrate with other systems and monitor, predict and diagnose cable abnormalities.

[0024] 2. The capacitive humidity sensor, thermistor humidity sensor, fiber optic humidity sensor, Hall effect sensor and DC leakage current sensor in the continuous monitoring module provide multi-dimensional cable status information, which helps to comprehensively evaluate the operating status of the cable, detect potential problems in time, and improve the safety and reliability of the cable system.

[0025] 3. The data recording module, data storage module and data analysis module in the data storage module can detect abnormalities in the early stage of cable faults and accurately locate them, avoiding large-scale power outages. The accumulated cable data provides rich information for operation and maintenance management, supports predictive maintenance and optimizes maintenance cycles, and reduces maintenance costs.

[0026] 4. Robots and drones equipped with infrared temperature sensors in the automatic inspection module make the inspection method more flexible and can adapt to different inspection scenarios, especially complex and scattered environments, improving inspection efficiency and coverage. Non-contact temperature monitoring avoids the limitations of traditional contact measurement and can monitor cable temperature in real time without interfering with the normal operation of the cable, thereby improving the accuracy and safety of monitoring.

[0027] 5. The visualization module makes the inspection results more intuitive, helping operation and maintenance personnel to quickly understand the cable status, take necessary maintenance measures in time, and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of the intelligent cable inspection method;

[0029] Figure 2This is a schematic diagram of the intelligent cable inspection system;

[0030] Figure 3 This is a schematic diagram of the IoT module;

[0031] Figure 4 This is a digital interface connection diagram. DETAILED DESCRIPTION

[0032] Embodiment 1:

[0033] like Figure 1 As shown, the cable intelligent inspection method of the present invention comprises the following steps:

[0034] S1: Automatic inspection, using robots and drones equipped with infrared temperature sensors to perform non-contact temperature detection on cables along a predetermined path;

[0035] S2: Data acquisition, the digital voltage sensor obtains the voltage signal from the cable and transmits the measured voltage signal to the data background through the Internet of Things module;

[0036] S3: Continuous monitoring, the humidity sensor, Hall effect sensor and DC leakage current sensor monitor the humidity around the cable, the magnetic field generated by the current and the insulation resistance status of the cable respectively;

[0037] S4: Data processing: the data monitoring module performs preliminary processing on the received data and transmits it to the data background storage module through the Internet of Things module;

[0038] S5: Data analysis: the data analysis module performs in-depth analysis on the data stored in the data storage module to evaluate the aging and failure rate of the cables;

[0039] S6: Visual display: Generate inspection reports based on data analysis results and display cable status through charts and heat maps.

[0040] Robots and drones adjust the inspection frequency and inspection area according to the actual working status of the cable.

[0041] The data analysis module predicts the future failure trend of the cable based on historical data.

[0042] Specifically, initialization and configuration are required before starting the inspection, including setting the inspection path of the robot and drone, calibrating the digital voltage sensor, and the wireless transmission parameters of the IoT module also need to be optimized according to the on-site environment to ensure real-time data transmission and remote monitoring.

[0043] Specifically, robots and drones are equipped with infrared temperature sensors to perform non-contact temperature detection on cables according to preset inspection routes. Robots are responsible for ground inspections, while drones are responsible for inspections at high altitudes or inaccessible areas. Infrared temperature sensors collect cable temperature data by detecting the infrared wavelengths radiated by the cables.

[0044] Specifically, the digital voltage sensor is connected to the cable to accurately measure the voltage data of the cable. The analog-to-digital converter in the digital voltage sensor converts the voltage signal into a digital signal through the ADC chip. The signal conditioning circuit performs filtering, gain adjustment and anti-interference processing. The microprocessor processes the digital signal and converts the data into a recognizable voltage value.

[0045] Specifically, the humidity sensor, the Hall effect sensor and the DC leakage current sensor respectively monitor the humidity around the cable, the magnetic field generated by the current and the insulation resistance state of the cable.

[0046] Specifically, the data monitoring module performs preliminary processing on the received data, including data cleaning, formatting and preliminary analysis, and the processed data is transmitted to the data background storage module through the Internet of Things module.

[0047] Specifically, the data recording module and data storage module in the data background storage module are respectively responsible for recording and storing various key parameters collected under the intelligent cable inspection. The data analysis module in the data background storage module conducts in-depth analysis based on the above recorded and stored data, evaluates the aging condition and failure rate of the cable, and provides a scientific basis for the maintenance plan.

[0048] Specifically, the visualization module automatically generates inspection reports based on the data analysis results, and displays the cable status in a visual way through charts and heat maps. These reports are sent to operation and maintenance personnel through the system to remind them to check the latest inspection results, and formulate corresponding maintenance plans based on the issues raised in the reports to repair potential fault points in a timely manner.

[0049] Specifically, the working environment of cables may vary greatly under different geographical and climatic conditions. In order to enhance the adaptability of the system, robots and drones can be equipped with environmental adaptability modules, such as adding a heat dissipation system in high temperature environments, adding a waterproof coating in humid environments, and adding heating elements in cold areas to keep the sensor working properly.

[0050] Specifically, the inspection paths of robots and drones can be intelligently planned based on the geographical distribution of cables and historical fault data. Using machine learning, high-risk areas for cable faults can be predicted and these areas can be inspected first. In addition, the inspection paths can be dynamically adjusted based on real-time weather conditions and terrain changes to ensure inspection efficiency and safety.

[0051] Specifically, considering the energy consumption of robots and drones when performing tasks, an energy management system can be integrated to reduce energy consumption by optimizing inspection routes and task scheduling. For example, drones can use solar panels to charge during inspections, while robots can automatically return to charging stations for quick charging between inspections.

[0052] Specifically, automatic inspection can set adaptive inspection frequency. Robots and drones can automatically adjust the inspection frequency according to the historical fault data of the cable and the current operating status. For example, during the high-incidence period of faults or extreme weather conditions, the system can increase the inspection frequency to ensure the safe operation of the cable; set up intelligent navigation system. Robots and drones are equipped with advanced navigation systems that can identify and avoid obstacles. At the same time, in environments with weak or no GPS signals, they use inertial navigation systems and environmental perception sensors to maintain precise positioning; combine multiple machines to work together. In large-scale cable networks, multiple robots and drones can work together, communicate through the Internet of Things module, share inspection data, optimize inspection routes, and improve inspection efficiency.

[0053] Specifically, data collection can use a high-precision digital voltage sensor. The digital voltage sensor uses a high-precision ADC chip, which can achieve voltage measurement at the microvolt level to ensure the accuracy of voltage data; the signal conditioning circuit is optimized. The filter circuit contained in the signal conditioning circuit can be optimized for specific noise frequencies in cable operation, and the gain adjustment circuit can automatically adjust the gain according to the dynamic range of the cable voltage. The anti-interference circuit is used to suppress electromagnetic interference; the Internet of Things module uses end-to-end encryption technology when transmitting data to ensure the security and privacy of data during transmission.

[0054] Specifically, continuous monitoring can increase environmental adaptability sensors. Humidity sensors, Hall effect sensors and DC leakage current sensors are all environmentally adaptable and can work stably under extreme temperature and humidity conditions. The above sensors have self-calibration functions and can be calibrated regularly to maintain measurement accuracy and reduce errors. Through data fusion technology, the data from different sensors are combined to provide more comprehensive cable status information.

[0055] Specifically, the in-depth application of data processing and analysis is reflected in real-time data processing. The data monitoring module can process sensor data in real time and respond quickly to any changes in the cable status. The data analysis module uses deep learning to identify the pattern of cable faults through training models to improve the accuracy of fault prediction. On the other hand, data mining technology can be used to discover potential fault patterns and maintenance best practices from historical data.

[0056] Specifically, the interactive visualization can generate interactive reports. Operation and maintenance personnel can select different data views and analysis results through the interactive interface to generate customized inspection reports. Virtual reality technology is also used to allow operation and maintenance personnel to intuitively view the cable status and potential problems in the three-dimensional model of the cable network. At the same time, an intelligent alarm system can be set up. When the system detects an abnormality, in addition to generating a report, the intelligent alarm system can also be used to promptly notify relevant personnel, including SMS, email and mobile application push.

[0057] Specifically, the automatic inspection steps can introduce an intelligent scheduling system to dynamically adjust the inspection plan according to the operating status of the cable, historical fault data and environmental factors (such as weather and temperature) to ensure that key areas are inspected at the most needed time. Robots and drones can switch different inspection modes according to the type of cable and environmental conditions. For example, low-altitude flight mode is used in urban cable tunnels, and high-altitude flight mode is used in mountainous areas or forests. Using image recognition technology and machine learning algorithms, robots and drones can identify obstacles in real time and automatically plan the best path to avoid collision and damage to cables. In data acquisition, the digital voltage sensor adopts adaptive sampling technology to dynamically adjust the sampling rate according to the changes in cable load to capture transient voltage changes and abnormal fluctuations. At the same time, it realizes high-precision synchronous acquisition of multiple sensors to ensure that the data obtained from different sensors are consistent in time, which is convenient for subsequent data analysis and fault diagnosis; for cable areas that are difficult to access, wireless energy transmission technology is used to power the sensor, reduce wiring complexity, and improve system flexibility and safety. In addition to humidity, magnetic field and insulation resistance monitoring, environmental monitoring sensors such as temperature, pressure and chemical gas sensors are added during continuous monitoring to monitor environmental changes around the cable and prevent cable damage caused by environmental factors. The alarm threshold is set intelligently based on the historical operation data of the cable and environmental conditions. When the monitored parameters exceed the threshold, the system automatically issues an alarm and takes corresponding preventive measures. Through remote diagnosis technology, the working status of the sensor is monitored in real time. Once the sensor performance is degraded or fails, remote maintenance or replacement is performed immediately.

[0058] Embodiment 2:

[0059] like Figures 2 to 3 As shown, the intelligent cable inspection system described in the present invention includes an automatic inspection module, a data acquisition module, a data monitoring module, a continuous monitoring module, a data background storage module, a visualization module and an Internet of Things module. The automatic inspection module, the data acquisition module, the data monitoring module, the continuous monitoring module, the data background storage module and the visualization module are wirelessly connected through the Internet of Things module; the data acquisition module and the data monitoring module are both mounted on the automatic inspection module; the continuous monitoring module cooperates with the data acquisition module and the data monitoring module to monitor the cable status.

[0060] The automatic inspection module includes a robot, a drone and an infrared temperature sensor, wherein the infrared temperature sensor is mounted on the robot and the drone.

[0061] The data acquisition module includes a digital voltage sensor, which includes an input module, an analog-to-digital converter, a signal conditioning circuit, a microprocessor and a communication module. The input module is connected to the measured cable, the signal conditioning circuit includes a filtering circuit, a gain adjustment circuit and an anti-interference circuit, and the communication module is connected to the data monitoring module and the Internet of Things module through a digital interface.

[0062] Digital interfaces include I 2 C module, SPI module, RS485 module, Modbus module and CAN bus module.

[0063] The continuous monitoring module includes a Hall effect sensor, a DC leakage current sensor and a humidity sensor. The humidity sensor includes a capacitive humidity sensor, a thermistor humidity sensor and a fiber optic humidity sensor. The capacitive humidity sensor and the thermistor humidity sensor are both installed on the cable sheath and insulation layer, and the fiber optic humidity sensor is embedded outside the cable and placed in the cable environment.

[0064] The data background storage module includes a data recording module, a data storage module and a data analysis module.

[0065] The IoT modules include NB-IoT modules, LoRa modules and Wi-Fi modules.

[0066] Specifically, during the actual cable inspection process, the robots and drones in the automatic inspection module inspect the cables according to the pre-set inspection routes. The robots are responsible for ground inspections and the drones are responsible for high-altitude inspections. The infrared temperature sensors on the robots and drones collect cable temperature data by detecting the infrared wavelengths radiated by the cables, and transmit the cable temperature data to the data background storage module through the Internet of Things module.

[0067] Specifically, the digital voltage sensor in the data acquisition module is connected to the cable to accurately measure the voltage data of the cable. After the voltage data is collected, it is transmitted to the data background storage module through the Internet of Things module.

[0068] Specifically, the humidity sensor in the continuous monitoring module is used to collect humidity data near the cable, the Hall effect sensor is used to collect cable current flow magnetic field strength data, the DC leakage current sensor collects cable insulation resistance status data, and transmits the cable temperature data to the data background storage module through the Internet of Things module.

[0069] Specifically, the data monitoring module performs preliminary processing on the received data, and after the processing is completed, it is transmitted to the data storage module through the Internet of Things module. The data analysis module performs in-depth analysis on the stored data to evaluate the aging degree and failure rate of the cable.

[0070] Specifically, the visualization display module automatically generates an inspection report based on the data analysis results. The report contains charts and heat maps of the cable status. After the report is completed, the system sends a notification to relevant personnel to remind them to check the latest inspection results. Based on the issues raised in the inspection report, they formulate corresponding maintenance plans and repair potential fault points in a timely manner.

[0071] Specifically, in order to improve the accuracy of cable status monitoring, multiple sensors can be integrated for data fusion. For example, in addition to infrared temperature sensors, acoustic wave sensors can be added to detect tiny cracks inside the cable, and ultraviolet sensors can be added to detect the degree of aging on the cable surface. The data from these sensors can be comprehensively analyzed together with temperature and voltage data to obtain more comprehensive cable status information.

[0072] Specifically, the data backend storage module can integrate predictive maintenance, which can predict potential cable failures and maintenance needs through analysis of historical and real-time data based on machine learning and artificial intelligence. This helps to schedule maintenance work in advance and reduce the risk of unexpected power outages.

[0073] Specifically, a remote monitoring and control center can be set up, through which operators can monitor the inspection status of robots and drones in real time, receive sensor data, and perform remote fault diagnosis. The control center can also connect with the dispatching system of the power grid operator to achieve coordinated optimization of cable inspection and power grid operation.

[0074] Specifically, the visualization module can provide a user interaction interface, allowing operation and maintenance personnel to customize the content and format of the inspection report as needed. For example, users can choose to focus on a specific type of failure risk, or require that the report include specific charts and analysis results. This makes the inspection report more in line with the actual needs of users and improves the availability of information.

[0075] Specifically, the enhanced functions of the automatic inspection module include autonomous charging of robots and drones. The robots and drones in the automatic inspection module have the ability to autonomously return to the charging station for charging, reducing human intervention and improving operation continuity. It also includes environmental perception and adaptation. The robots and drones are equipped with environmental perception systems that can identify different terrain and climatic conditions and automatically adjust inspection strategies. At the same time, task priority management can be set. The system can dynamically adjust the priority of inspection tasks according to the operating status and historical data of the cable to ensure that key areas receive sufficient attention.

[0076] Specifically, it can improve the advanced features of the data acquisition module, the adaptive sampling of the digital voltage sensor, and the digital voltage sensor can automatically adjust the sampling frequency according to the load changes of the cable to capture transient voltage changes; the intelligent conditioning of the signal conditioning circuit realizes the adaptive function of the signal conditioning circuit, which can automatically adjust the filtering and gain settings according to the characteristics of the input signal to optimize the signal quality; at the same time, the multi-protocol support of the communication module can be set, and the communication module supports a variety of industrial communication protocols, such as Modbus and CAN bus, to adapt to different industrial environments and equipment.

[0077] Specifically, the continuous monitoring module can be set up for comprehensive monitoring, including multi-parameter monitoring. The continuous monitoring module not only monitors humidity, magnetic field and insulation resistance, but also monitors the vibration, sound and chemical composition changes of the cable to identify potential external damage and internal aging; it also includes remote sensor calibration. Through the Internet of Things module, the sensor can be remotely calibrated to ensure measurement accuracy during long-term operation; it also includes sensor fault diagnosis. The system can diagnose the health of the sensor and automatically notify maintenance personnel when a fault is detected.

[0078] Specifically, the data background storage module can optimize storage based on big data storage technology, data compression and optimization, and data security and backup. Big data storage technology uses a distributed database system to process and store massive inspection data, improving data accessibility and reliability; data compression and optimization implements data compression technology to reduce storage space requirements while maintaining data integrity and availability; data security and backup: regularly back up data and adopt multi-level data security measures, such as firewalls, intrusion detection systems, etc., to protect data from attacks.

[0079] Specifically, the IoT module can strengthen connectivity through multi-path transmission, edge computing integration, and intelligent spectrum management. Multi-path transmission enables the IoT module to automatically select the best transmission path based on signal strength and network conditions to ensure stable data transmission; edge computing integration integrates edge computing capabilities into the IoT module to pre-process data, reduce the burden of cloud processing, and improve response speed; intelligent spectrum management enables the IoT module to have intelligent spectrum management capabilities, which can dynamically adjust wireless communication frequency bands to avoid spectrum congestion and interference.

[0080] Specifically, the visualization module can visualize the real-time data flow. The visualization module can display the data flow in real time, allowing the operation and maintenance personnel to see the real-time changes in the cable status; compare and analyze historical data, provide historical data comparison function, and display the changing trend of the cable status through charts and heat maps; and then make predictive maintenance recommendations. Based on the data analysis results, the visualization module can provide predictive maintenance recommendations to help operation and maintenance personnel formulate maintenance plans.

[0081] In the description of the present invention, although the embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cable intelligent inspection method, characterized in that: The following steps are involved: S1: Automatic inspection, using robots and drones equipped with infrared temperature sensors to perform non-contact temperature detection on cables along a predetermined path; S2: Data acquisition, the digital voltage sensor obtains the voltage signal from the cable and transmits the measured voltage signal to the data background through the Internet of Things module; S3: Continuous monitoring, the humidity sensor, Hall effect sensor and DC leakage current sensor monitor the humidity around the cable, the magnetic field generated by the current and the insulation resistance status of the cable respectively; S4: Data processing: the data monitoring module performs preliminary processing on the received data and transmits it to the data background storage module through the Internet of Things module; S5: Data analysis: the data analysis module performs in-depth analysis on the data stored in the data storage module to evaluate the aging and failure rate of the cables; S6: Visual display: Generate inspection reports based on data analysis results and display cable status through charts and heat maps.

2. The intelligent cable inspection method according to claim 1 is characterized in that: The robot and the drone adjust the inspection frequency and inspection area according to the actual working status of the cable.

3. The intelligent cable inspection method according to claim 1, characterized in that: The data analysis module predicts future fault trends of the cable based on historical data.

4. A cable intelligent inspection system, characterized in that: The intelligent cable inspection method based on any one of claims 1-3 includes an automatic inspection module, a data acquisition module, a data monitoring module, a continuous monitoring module, a data background storage module, a visualization module and an Internet of Things module. The automatic inspection module, the data acquisition module, the data monitoring module, the continuous monitoring module, the data background storage module and the visualization module are wirelessly connected through the Internet of Things module; the data acquisition module and the data monitoring module are both mounted on the automatic inspection module; the continuous monitoring module cooperates with the data acquisition module and the data monitoring module to monitor the cable status.

5. The intelligent cable inspection system according to claim 4 is characterized in that: The automatic inspection module includes a robot, a drone and an infrared temperature sensor, and the infrared temperature sensor is mounted on the robot and the drone.

6. The intelligent cable inspection system according to claim 4 is characterized in that: The data acquisition module includes a digital voltage sensor, which includes an input module, an analog-to-digital converter, a signal conditioning circuit, a microprocessor and a communication module. The input module is connected to the measured cable, the signal conditioning circuit includes a filter circuit, a gain adjustment circuit and an anti-interference circuit, and the communication module is connected to the data monitoring module and the Internet of Things module through a digital interface.

7. The intelligent cable inspection system according to claim 6 is characterized in that: The digital interface includes I 2 C module, SPI module, RS485 module, Modbus module and CAN bus module.

8. The intelligent cable inspection system according to claim 4 is characterized in that: The continuous monitoring module includes a Hall effect sensor, a DC leakage current sensor and a humidity sensor. The humidity sensor includes a capacitive humidity sensor, a thermistor humidity sensor and an optical fiber humidity sensor. The capacitive humidity sensor and the thermistor humidity sensor are both installed on the cable sheath and the insulation layer. The optical fiber humidity sensor is embedded outside the cable and placed in the cable environment.

9. The intelligent cable inspection system according to claim 4, characterized in that: The data background storage module includes a data recording module, a data storage module and a data analysis module.

10. The intelligent cable inspection system according to claim 4, characterized in that: The Internet of Things module includes an NB-IoT module, a LoRa module and a Wi-Fi module.

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