Tunnel cable grounding ring current intelligent detection and analysis system and method

Abstract

The invention discloses a tunnel cable grounding ring current intelligent detection and analysis system and method, and relates to the technical field of intelligent detection, and the method comprises the following steps: collecting the current of cable metal sheath grounding ring current, sheath induction voltage, equipment temperature and tunnel humidity through a sensor; analyzing and processing the collected data to obtain comprehensive detection parameters; setting a threshold value, comparing and analyzing the obtained detection data, and judging whether an abnormal condition occurs or not; according to the generated instruction, carrying out early warning and abnormity prompting on the detected abnormal condition; according to analysis and detection of different parameters, the specific types of abnormalities can be judged, the safety detection mode is triggered when it is detected that only the safety evaluation index is abnormal, whether the numerical calculation process is abnormal or not is analyzed, the numerical abnormality situation caused by calculation abnormality can be eliminated, and the safety of the numerical calculation process is improved. Detection errors of abnormal conditions of the equipment are reduced, and the problem that the false alarm rate is high in the detection process is solved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection technology, and in particular to a tunnel cable grounding loop current intelligent detection and analysis system and method. Background Art

[0002] Tunnel cables are key components of power transmission and rail transit power supply systems. Their full operation can impact power supply reliability and equipment life. Tunnel cable ground loop current systems are used to monitor the grounding current in cable metal sheaths, such as aluminum sheaths or copper shields, when laying power cables in tunnels. The core function of tunnel cable ground loop current systems is to detect cable insulation status, prevent sheath failures, and ensure safe cable operation. Cable ground loop current is a key indicator of cable insulation status and grounding system health. Abnormal loop currents can be caused by factors such as cable sheath damage, poor grounding, insulation degradation, or external interference. If not detected and addressed promptly, they can lead to serious accidents such as cable overheating, insulation breakdown, and even fire. Traditional methods for detecting tunnel cable ground loop current include manual inspections and periodic testing, fixed online monitoring systems, and differential current detection. With the recent development of artificial intelligence, intelligent methods have been gradually introduced for detecting tunnel cable ground loop current. However, current detection technologies still suffer from the drawbacks of single-source data and insufficient data fusion. These single-source data or insufficient data fusion can lead to high false alarm rates during detection. Summary of the Invention

[0003] The purpose of the present invention is to provide a tunnel cable grounding loop current intelligent detection and analysis system and method to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solution: a method for intelligent detection and analysis of grounding loop current of a tunnel cable, the method comprising the following steps: S1. Use sensors to collect the grounding loop current of the cable metal sheath, the sheath induced voltage, the equipment temperature, and the tunnel humidity; S2. Analyze and process the collected data, and analyze and integrate the collected monitoring data to obtain comprehensive detection parameters; S3. Set a threshold and compare and analyze the acquired detection data to determine whether any abnormality occurs; S4. Issue warnings and abnormal prompts for detected abnormal situations according to the generated instructions.

[0005] Furthermore, in step S1: a high-precision current sensor such as a Rogowski coil or a Hall effect sensor is used to collect the current data I in the cable metal sheath grounding loop in real time; a voltage sensor is used to collect the monitoring layer induced voltage data U in real time; a temperature sensor is used to collect the temperature data T1 at the cable joint and the temperature data T2 at the sheath grounding point in real time, which can detect abnormal local overheating; and a humidity sensor is used to collect the humidity S in the tunnel in real time.

[0006] Furthermore, in step S2: the collected data is analyzed and processed, and the collected current and voltage data are weighted and fused to form a circulating current safety parameter W. The circulating current safety parameter is calculated according to the following formula: ; Where W represents the circulating current safety parameter, I0 represents the standard value of the current data in the cable metal sheath grounding circulating current; U0 represents the standard value of the induced voltage data of the monitoring layer; f1 represents the influence weight of the current on the circulating current safety parameter, and f2 represents the influence weight of the induced voltage on the circulating current safety parameter; The collected temperature and humidity data are analyzed and processed, and weighted fusion of the collected temperature and humidity data is used to form the equipment safety parameter M. The equipment safety parameter is calculated according to the following formula: ; Where M represents the equipment safety parameter; T 10 Indicates the standard value of the temperature data at the cable joint; T 20 represents the standard value of the temperature data at the sheath grounding point; S0 represents the standard value of the humidity data in the tunnel; f3 represents the influence weight of the temperature data at the cable joint on the equipment safety parameters; f4 represents the influence weight of the temperature data at the sheath grounding point on the equipment safety parameters; f5 represents the influence weight of the humidity data in the tunnel on the equipment safety parameters; The circulation safety parameters and equipment safety parameters obtained through analysis and calculation are integrated to form the safety assessment index Q, which is calculated using the following formula: ; Among them, Q represents the safety assessment index; p1 represents the influence weight of the circulation safety parameter on the safety assessment index; p2 represents the influence weight of the equipment safety parameter on the safety assessment index.

[0007] Furthermore, a threshold Q0 of the safety assessment index is set to monitor the safety assessment index in real time; the detection situation is judged as follows: If Q≤Q0, the safety assessment index is judged to be within the normal range, and no warning instructions are generated; If Q>Q0, the safety assessment index is judged to be abnormally high, and the safety detection mode is triggered to detect the circulating current safety and equipment safety in the tunnel cable; After the safety detection mode is triggered, the circulating current safety parameters and equipment safety parameters are tested respectively, and the circulating current safety parameter threshold W0 and the equipment safety parameter threshold M0 are set. The calculated circulating current safety parameters and equipment safety parameters are compared and analyzed with the set thresholds to analyze whether there are any abnormalities. The comparison and analysis results are as follows: If W≤W0 and M≤M0, it is judged that there is no abnormality in the circulating safety parameters and equipment safety parameters, and the test results are fed back; the safety assessment index is retested, and the test duration is set to △t1. The safety assessment index, circulating safety parameters and equipment safety parameters are continuously tested, and the test results within the duration △t1 are analyzed and judged. The analysis results are as follows: Within the detection time △t1, if the detection result of Q is detected to return to the normal value, and the detection results of W and M are still W≤W0 and M≤M0, all three values ​​are normal, it is judged that there is no abnormality. If Q is abnormal, it is a calculation error and no abnormality warning is issued; During the detection time △t1, if the detection result of the Q value is always abnormal, but the detection results of W and M are W≤W0 and M≤M0, it is judged that the Q calculation process is abnormal, and instruction a1 is issued to control the generation of an abnormal prompt; During the detection time △t1, if the detection result of the Q value is always abnormal, and W>W0 and M≤M0 is detected, it is judged that the circulation safety parameter is abnormal, and the instruction a2 control is generated to issue a circulation abnormality warning; If the Q value is always abnormal within the detection time △t1 and W≤W0 and M>M0 is detected, it is determined that the equipment safety parameters are abnormal, and instruction a3 is generated to issue an equipment failure warning. During the detection time △t1, if the detection result of the Q value is always abnormal, and W>W0 and M>M0 are detected, it is determined that both the circulation safety parameters and the equipment safety parameters are abnormal, and instruction a4 is generated to issue a circulation abnormality and equipment failure warning; If W>W0 and M≤M0, it is directly judged that the circulation safety parameter is abnormal, and the instruction a2 control is directly generated to perform circulation abnormality warning; If W≤W0 and M>M0, it is directly judged that the equipment safety parameters are abnormal, and instruction a3 is directly generated to issue an equipment failure warning; If W>W0 and M>M0, it is directly determined that both the circulation safety parameters and the equipment safety parameters are abnormal, and instruction a4 is directly generated to issue a circulation abnormality and equipment failure warning.

[0008] Furthermore, in step S4: an early warning is issued for abnormal conditions occurring in the tunnel cable grounding loop current according to the generated instructions: If instruction a1 is generated, a blue light warning is issued, and an abnormality prompt of the safety assessment index calculation is performed in the visualization module; If instruction a2 is generated, a yellow light warning is issued, and abnormal circulation safety parameters are prompted in the visualization module; If instruction a3 is generated, an orange light warning is issued, and an abnormal device safety parameter prompt is displayed in the visualization module; If instruction a4 is generated, a red light warning is issued, and a prompt is given in the visualization module that both the circulation safety parameters and the equipment safety parameters are abnormal.

[0009] An intelligent detection and analysis system for grounding loop current of a tunnel cable, characterized in that the system comprises a tunnel data acquisition module, a data processing module, an analysis and judgment module, and an abnormality warning module; The tunnel data acquisition module is used to collect the current of the cable metal sheath grounding loop, the sheath induced voltage, the equipment temperature and the tunnel humidity through sensors; The data processing module is used to analyze and process the collected data, and analyze and fuse the collected monitoring data to obtain comprehensive detection parameters; The analysis and judgment module is used to set a threshold and perform comparative analysis on the acquired detection data to determine whether an abnormality occurs; The abnormal warning module is used to issue an early warning and abnormal prompt for the detected abnormal situation according to the generated instructions.

[0010] Furthermore, the tunnel data acquisition module includes a circulation data acquisition unit and an equipment data acquisition unit; the circulation data acquisition unit collects the current data in the cable metal sheath grounding circulation in real time through a high-precision current sensor, and collects the monitoring layer induced voltage data in real time through a voltage sensor; the equipment data acquisition unit collects the temperature data at the cable joint and the temperature data at the sheath grounding in real time through a temperature sensor, and collects the humidity in the tunnel in real time through a humidity sensor.

[0011] Furthermore, the data processing module includes a circulating safety parameter analysis unit, an equipment safety parameter analysis unit and a safety assessment index analysis unit; the circulating safety parameter analysis unit is used to obtain circulating safety parameters based on the collected current and voltage data; the equipment safety parameter analysis unit is used to obtain equipment safety parameters based on the collected temperature and humidity data; the safety assessment index analysis unit is used to weightedly fuse the circulating safety parameters and the equipment safety parameters to obtain a safety assessment index.

[0012] Further, the analysis and judgment module comprises a threshold setting unit and a comparison and analysis unit; the threshold setting unit is used for setting a loop current safety parameter threshold, a device safety parameter threshold and a safety evaluation index threshold; the comparison and analysis unit compares the numerical value obtained through analysis and processing with the set threshold, and analyzes and judges whether an abnormal situation exists.

[0013] Further, the abnormality early warning module is used for early warning the detected abnormal situation according to the generated instruction and performing abnormal type prompting on the visual device.

[0014] Compared with the prior art, the beneficial effects of the present application are: The present application obtains three safety detection parameters of loop current safety parameter, device safety parameter and safety evaluation index through analysis of the collected data, and analyzes the real-time obtained safety detection parameters through setting of the threshold, so as to judge whether an abnormal situation exists; the three safety detection parameters introduced can achieve intelligent detection and classified early warning of the abnormality in the tunnel cable loop current, and the abnormal situation is judged through the detection process, first, the safety evaluation index is analyzed, then the loop current safety parameter and the device safety parameter are analyzed and judged when the abnormal situation is detected, according to the analysis and detection of different parameters, the specific type of the abnormality can be judged, and when only the safety evaluation index is detected to be abnormal, the safety detection mode is triggered, whether the numerical value calculation process is abnormal is analyzed, the numerical value abnormality caused by calculation abnormality can be excluded, the equipment abnormality detection failure can be reduced, and the problem of high false alarm rate in the detection process is solved. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 It is a flowchart of the tunnel cable grounding loop current intelligent detection and analysis method of the present application; Figure 2 It is a structural schematic diagram of the tunnel cable grounding loop current intelligent detection and analysis system of the present application. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0017] As shown in the drawings, Figure 1-Figure 2 The present application provides a technical solution, a tunnel cable grounding loop current intelligent detection and analysis method, the method comprising the following steps: S1. Use sensors to collect the grounding loop current of the cable metal sheath, the sheath induced voltage, the equipment temperature, and the tunnel humidity; S2. Analyze and process the collected data, and analyze and integrate the collected monitoring data to obtain comprehensive detection parameters; S3. Set a threshold and compare and analyze the acquired detection data to determine whether any abnormality occurs; S4. Issue warnings and abnormal prompts for detected abnormal situations according to the generated instructions.

[0018] In step S1: a high-precision current sensor is used to collect the current data I in the cable metal sheath grounding loop in real time; a voltage sensor is used to collect the monitoring layer induced voltage data U in real time; a temperature sensor is used to collect the temperature data T1 at the cable joint and the temperature data T2 at the sheath grounding point in real time; and a humidity sensor is used to collect the humidity S in the tunnel in real time.

[0019] In step S2: the collected data is analyzed and processed, and the collected current and voltage data are weighted and fused to form a circulating current safety parameter W. The circulating current safety parameter is calculated according to the following formula: ; Where W represents the circulating current safety parameter, I0 represents the standard value of the current data in the cable metal sheath grounding circulating current; U0 represents the standard value of the induced voltage data of the monitoring layer; f1 represents the influence weight of the current on the circulating current safety parameter, and f2 represents the influence weight of the induced voltage on the circulating current safety parameter; The collected temperature and humidity data are analyzed and processed, and weighted fusion of the collected temperature and humidity data is used to form the equipment safety parameter M. The equipment safety parameter is calculated according to the following formula: ; Where M represents the equipment safety parameter; T 10 Indicates the standard value of the temperature data at the cable joint; T 20 represents the standard value of the temperature data at the sheath grounding point; S0 represents the standard value of the humidity data in the tunnel; f3 represents the influence weight of the temperature data at the cable joint on the equipment safety parameters; f4 represents the influence weight of the temperature data at the sheath grounding point on the equipment safety parameters; f5 represents the influence weight of the humidity data in the tunnel on the equipment safety parameters; The circulation safety parameters and equipment safety parameters obtained through analysis and calculation are integrated to form the safety assessment index Q, which is calculated using the following formula: ; Among them, Q represents the safety assessment index; p1 represents the influence weight of the circulation safety parameter on the safety assessment index; p2 represents the influence weight of the equipment safety parameter on the safety assessment index.

[0020] The threshold value Q0 of the safety evaluation index is set to monitor the safety evaluation index in real time; the detection condition is determined as follows: If Q≤Q0, it is determined that the safety evaluation index is within the normal range, and no warning instruction is generated; If Q>Q0, it is determined that the safety evaluation index is abnormally high, and the safety detection mode is triggered to detect the loop current safety and equipment safety in the tunnel cable; After triggering the safety detection mode, the loop current safety parameter and the equipment safety parameter are detected respectively, and the loop current safety parameter threshold value W0 and the equipment safety parameter threshold value M0 are set; the calculated loop current safety parameter and equipment safety parameter are compared and analyzed with the set threshold value to analyze whether there is an abnormal situation, and the comparison and analysis result is as follows: If W≤W0 and M≤M0, it is determined that the loop current safety parameter and the equipment safety parameter are normal, the detection result is fed back; and the safety evaluation index is re-detected, and the detection time is set to△t1, the safety evaluation index, the loop current safety parameter and the equipment safety parameter are continuously detected, and the detection result within the time△t1 is analyzed and judged, and the analysis result is as follows: Within the detection time△t1, if the detection result of Q is restored to the normal value, and the detection results of W and M are still W≤W0 and M≤M0, all three values are normal, it is determined that there is no abnormal situation, and the abnormal situation of Q is calculation error, no abnormal warning is given; Within the detection time△t1, if the detection result of Q value is always abnormal, but the detection results of W and M are W≤W0 and M≤M0, it is determined that the calculation process of Q is abnormal, and the instruction a1 is controlled to generate an abnormal prompt; Within the detection time△t1, the detection result of Q value is always abnormal, and W>W0 and M≤M0 are detected, it is determined that the loop current safety parameter is abnormal, and the instruction a2 is generated to control the loop current abnormality warning; Within the detection time△t1, the detection result of Q value is always abnormal, and W≤W0 and M>M0 are detected, it is determined that the equipment safety parameter is abnormal, and the instruction a3 is generated to control the equipment fault warning; Within the detection time△t1, the detection result of Q value is always abnormal, and W>W0 and M>M0 are detected, it is determined that the loop current safety parameter and the equipment safety parameter are both abnormal, and the instruction a4 is generated to control the loop current abnormality and equipment fault warning; If W>W0 and M≤M0, it is directly determined that the loop current safety parameter is abnormal, and the instruction a2 is directly generated to control the loop current abnormality warning; If W≤W0 and M>M0, it is directly judged that the equipment safety parameters are abnormal, and instruction a3 is directly generated to issue an equipment failure warning; If W>W0 and M>M0, it is directly determined that both the circulation safety parameters and the equipment safety parameters are abnormal, and instruction a4 is directly generated to issue a circulation abnormality and equipment failure warning.

[0021] In step S4: according to the generated instructions, an early warning is issued for abnormal conditions occurring in the grounding loop current of the tunnel cable: If instruction a1 is generated, a blue light warning is issued, and an abnormality prompt of the safety assessment index calculation is performed in the visualization module; If instruction a2 is generated, a yellow light warning is issued, and abnormal circulation safety parameters are prompted in the visualization module; If instruction a3 is generated, an orange light warning is issued, and an abnormal device safety parameter prompt is displayed in the visualization module; If instruction a4 is generated, a red light warning is issued, and a prompt is given in the visualization module that both the circulation safety parameters and the equipment safety parameters are abnormal.

[0022] An intelligent detection and analysis system for grounding loop current of a tunnel cable, characterized in that the system comprises a tunnel data acquisition module, a data processing module, an analysis and judgment module, and an abnormality warning module; The tunnel data acquisition module is used to collect the grounding loop current of the cable metal sheath, the sheath induced voltage, the equipment temperature and the tunnel humidity through sensors; The data processing module is used to analyze and process the collected data, and analyze and fuse multiple collected monitoring data to obtain comprehensive detection parameters; The analysis and judgment module is used to set thresholds and conduct comparative analysis on the acquired detection data to determine whether any abnormalities occur; The abnormal warning module is used to issue warnings and abnormal prompts for detected abnormal situations according to the generated instructions.

[0023] The tunnel data acquisition module includes a circulating current data acquisition unit and an equipment data acquisition unit; the circulating current data acquisition unit uses a high-precision current sensor to collect real-time current data in the grounding circulating current of the cable metal sheath, and uses a voltage sensor to collect real-time induced voltage data of the monitoring layer; the equipment data acquisition unit uses a temperature sensor to collect real-time temperature data at the cable joint and the temperature data at the sheath grounding point, and uses a humidity sensor to collect real-time humidity in the tunnel.

[0024] The data processing module includes a circulating current safety parameter analysis unit, an equipment safety parameter analysis unit and a safety assessment index analysis unit; the circulating current safety parameter analysis unit is used to obtain circulating current safety parameters based on the collected current and voltage data; the equipment safety parameter analysis unit is used to obtain equipment safety parameters based on the collected temperature and humidity data; the safety assessment index analysis unit is used to weightedly fuse the circulating current safety parameters and the equipment safety parameters to obtain a safety assessment index.

[0025] The analysis and judgment module includes a threshold setting unit and a comparative analysis unit; the threshold setting unit is used to set the circulation safety parameter threshold, the equipment safety parameter threshold and the safety assessment index threshold; the comparative analysis unit compares the value obtained by the analysis and processing with the set threshold to analyze and judge whether there is any abnormality.

[0026] The abnormal warning module is used to issue an early warning for detected abnormal situations according to the generated instructions and to provide abnormal type prompts on the visualization device.

[0027] Example 1: In step S1: use a high-precision current sensor to collect the current data I=5A in the cable metal sheath grounding loop in real time; use a voltage sensor to collect the monitoring layer induced voltage data U=10V in real time; use a temperature sensor to collect the temperature data T1=35℃ at the cable joint and the temperature data T2=40℃ at the sheath grounding point in real time; use a humidity sensor to collect the humidity S=30% in the tunnel in real time.

[0028] In step S2: the collected data is analyzed and processed, and the collected current and voltage data are weighted and fused to form a circulating current safety parameter W. The circulating current safety parameter is calculated according to the following formula: ; Where W represents the circulating current safety parameter, I0=10A represents the standard value of the current data in the cable metal sheath grounding circulating current; U0=20V represents the standard value of the induced voltage data of the monitoring layer; f1=0.6 represents the influence weight of the current on the circulating current safety parameter, f2=0.4 represents the influence weight of the induced voltage on the circulating current safety parameter; W=0.5; The collected temperature and humidity data are analyzed and processed, and weighted fusion of the collected temperature and humidity data is used to form the equipment safety parameter M. The equipment safety parameter is calculated according to the following formula: ; Where M represents the equipment safety parameter; T 10 =50℃ represents the standard value of the temperature data at the cable joint; T 20=50℃ represents the standard value of the temperature data at the sheath grounding point; S0=40% represents the standard value of the humidity data in the tunnel; f3=0.3 represents the influence weight of the temperature data at the cable joint on the equipment safety parameters; f4=0.3 represents the influence weight of the temperature data at the sheath grounding point on the equipment safety parameters; f5=0.4 represents the influence weight of the humidity data in the tunnel on the equipment safety parameters; M=0.75; The circulation safety parameters and equipment safety parameters obtained through analysis and calculation are integrated to form the safety assessment index Q, which is calculated using the following formula: ; Among them, Q represents the safety assessment index; p1=0.6 represents the influence weight of the circulation safety parameter on the safety assessment index; p2=0.4 represents the influence weight of the equipment safety parameter on the safety assessment index; Q=0.6.

[0029] Set the safety assessment index threshold Q0=0.84 to monitor the safety assessment index in real time; set the circulation safety parameter threshold W0=0.8 and the equipment safety parameter threshold M0=0.9; the detection situation is judged as follows: The judgment result is Q=0.6≤Q0. If the safety assessment index is judged to be within the normal range, no warning instruction will be generated.

[0030] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A method for intelligent detection and analysis of grounding loop current in tunnel cables, characterized by: The method comprises the following steps: S1. Use sensors to collect the grounding loop current of the cable metal sheath, the sheath induced voltage, the equipment temperature, and the tunnel humidity; S2. Analyze and process the collected data, and analyze and integrate the collected monitoring data to obtain comprehensive detection parameters; S3. Set a threshold and compare and analyze the acquired detection data to determine whether any abnormality occurs; S4. Issue warnings and abnormal prompts for detected abnormal situations according to the generated instructions.

2. The method for intelligent detection and analysis of grounding circulation current of a tunnel cable according to claim 1, characterized in that: In step S1: a high-precision current sensor is used to collect the current data I in the cable metal sheath grounding loop in real time; a voltage sensor is used to collect the monitoring layer induced voltage data U in real time; a temperature sensor is used to collect the temperature data T1 at the cable joint and the temperature data T2 at the sheath grounding point in real time; and a humidity sensor is used to collect the humidity S in the tunnel in real time.

3. The intelligent detection and analysis method for grounding loop current of a tunnel cable according to claim 1 is characterized by: In step S2: the collected data is analyzed and processed, and the collected current and voltage data are weighted and fused to form a circulating current safety parameter W. The circulating current safety parameter is calculated according to the following formula: ； Where W represents the circulating current safety parameter, I0 represents the standard value of the current data in the cable metal sheath grounding circulating current; U0 represents the standard value of the induced voltage data of the monitoring layer; f1 represents the influence weight of the current on the circulating current safety parameter, and f2 represents the influence weight of the induced voltage on the circulating current safety parameter; The collected temperature and humidity data are analyzed and processed, and weighted fusion of the collected temperature and humidity data is used to form the equipment safety parameter M. The equipment safety parameter is calculated according to the following formula: ； Where M represents the equipment safety parameter; T 10 Indicates the standard value of the temperature data at the cable joint; T 20 represents the standard value of the temperature data at the sheath grounding point; S0 represents the standard value of the humidity data in the tunnel; f3 represents the influence weight of the temperature data at the cable joint on the equipment safety parameters; f4 represents the influence weight of the temperature data at the sheath grounding point on the equipment safety parameters; f5 represents the influence weight of the humidity data in the tunnel on the equipment safety parameters; The circulation safety parameters and equipment safety parameters obtained through analysis and calculation are integrated to form the safety assessment index Q, which is calculated using the following formula: ； Among them, Q represents the safety assessment index; p1 represents the influence weight of the circulation safety parameter on the safety assessment index; p2 represents the influence weight of the equipment safety parameter on the safety assessment index.

4. The intelligent detection and analysis method for grounding loop current of a tunnel cable according to claim 1, characterized in that: Set the threshold Q0 of the safety assessment index to monitor the safety assessment index in real time; the detection situation is judged as follows: If Q≤Q0, the safety assessment index is judged to be within the normal range, and no warning instructions are generated; If Q>Q0, the safety assessment index is judged to be abnormally high, and the safety detection mode is triggered to detect the circulating current safety and equipment safety in the tunnel cable; After the safety detection mode is triggered, the circulating current safety parameters and equipment safety parameters are tested respectively, and the circulating current safety parameter threshold W0 and the equipment safety parameter threshold M0 are set. The calculated circulating current safety parameters and equipment safety parameters are compared and analyzed with the set thresholds to analyze whether there are any abnormalities. The comparison and analysis results are as follows: If W≤W0 and M≤M0, it is judged that there is no abnormality in the circulation safety parameters and equipment safety parameters, and the test results are fed back; The safety assessment index is retested, and the detection duration is set to △t1. The safety assessment index, circulation safety parameters and equipment safety parameters are continuously tested. The test results within the duration △t1 are analyzed and judged. The analysis results are as follows: Within the detection time △t1, if the detection result of Q is detected to return to the normal value, and the detection results of W and M are still W≤W0 and M≤M0, all three values ​​are normal, it is judged that there is no abnormality. If Q is abnormal, it is a calculation error and no abnormality warning is issued; During the detection time △t1, if the detection result of the Q value is always abnormal, but the detection results of W and M are W≤W0 and M≤M0, it is judged that the Q calculation process is abnormal, and instruction a1 is issued to control the generation of an abnormal prompt; During the detection time △t1, if the detection result of the Q value is always abnormal, and W>W0 and M≤M0 is detected, it is judged that the circulation safety parameter is abnormal, and the instruction a2 control is generated to issue a circulation abnormality warning; If the Q value is always abnormal within the detection time △t1 and W≤W0 and M>M0 is detected, it is determined that the equipment safety parameters are abnormal, and instruction a3 is generated to issue an equipment failure warning. During the detection time △t1, if the detection result of the Q value is always abnormal, and W>W0 and M>M0 are detected, it is determined that both the circulation safety parameters and the equipment safety parameters are abnormal, and instruction a4 is generated to issue a circulation abnormality and equipment failure warning; If W>W0 and M≤M0, it is directly judged that the circulation safety parameter is abnormal, and the instruction a2 control is directly generated to issue a circulation abnormality warning; If W≤W0 and M>M0, it is directly judged that the equipment safety parameters are abnormal, and instruction a3 is directly generated to issue an equipment failure warning; If W>W0 and M>M0, it is directly determined that both the circulation safety parameters and the equipment safety parameters are abnormal, and instruction a4 is directly generated to issue a circulation abnormality and equipment failure warning.

5. The method for intelligent detection and analysis of grounding circulation current of a tunnel cable according to claim 1, characterized in that: In step S4: according to the generated instructions, an early warning is issued for abnormal conditions occurring in the grounding loop current of the tunnel cable: If instruction a1 is generated, a blue light warning is issued, and an abnormality prompt of the safety assessment index calculation is performed in the visualization module; If instruction a2 is generated, a yellow light warning is issued, and abnormal circulation safety parameters are prompted in the visualization module; If instruction a3 is generated, an orange light warning is issued, and an abnormal device safety parameter prompt is displayed in the visualization module; If instruction a4 is generated, a red light warning is issued, and a prompt is given in the visualization module that both the circulation safety parameters and the equipment safety parameters are abnormal.

6. An intelligent detection and analysis system for grounding loop current of tunnel cables, characterized by: The system includes tunnel data acquisition module, data processing module, analysis and judgment module and abnormality warning module; The tunnel data acquisition module is used to collect the current of the cable metal sheath grounding loop, the sheath induced voltage, the equipment temperature and the tunnel humidity through sensors; The data processing module is used to analyze and process the collected data, and analyze and fuse the collected monitoring data to obtain comprehensive detection parameters; The analysis and judgment module is used to set a threshold and perform comparative analysis on the acquired detection data to determine whether an abnormality occurs; The abnormal warning module is used to issue an early warning and abnormal prompt for the detected abnormal situation according to the generated instructions.

7. The intelligent detection and analysis system for grounding circulation current of a tunnel cable according to claim 6, characterized in that: The tunnel data acquisition module includes a circulation data acquisition unit and an equipment data acquisition unit; the circulation data acquisition unit uses a high-precision current sensor to collect current data in the cable metal sheath grounding circulation in real time, and uses a voltage sensor to collect induced voltage data of the monitoring layer in real time; the equipment data acquisition unit uses a temperature sensor to collect temperature data at the cable joint and the sheath grounding point in real time, and uses a humidity sensor to collect humidity in the tunnel in real time.

8. The intelligent detection and analysis system for grounding circulation current of a tunnel cable according to claim 6, characterized in that: The data processing module includes a circulating current safety parameter analysis unit, an equipment safety parameter analysis unit and a safety assessment index analysis unit; the circulating current safety parameter analysis unit is used to obtain circulating current safety parameters based on the collected current and voltage data; the equipment safety parameter analysis unit is used to obtain equipment safety parameters based on the collected temperature and humidity data; the safety assessment index analysis unit is used to weightedly fuse the circulating current safety parameters and the equipment safety parameters to obtain a safety assessment index.

9. The intelligent detection and analysis system for grounding circulation current of a tunnel cable according to claim 6, characterized in that: The analysis and judgment module includes a threshold setting unit and a comparative analysis unit; the threshold setting unit is used to set the circulation safety parameter threshold, the equipment safety parameter threshold and the safety assessment index threshold; the comparative analysis unit compares the value obtained by analysis and processing with the set threshold to analyze and judge whether there is an abnormal situation.

10. The intelligent detection and analysis system for grounding circulation current of a tunnel cable according to claim 6, characterized in that: The abnormality warning module is used to warn of detected abnormal situations according to the generated instructions and to provide abnormality type prompts on the visualization device.

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