A power communication equipment failure judgment detection system
The fault diagnosis and detection system for power communication equipment enables the prediction of faults in power communication equipment, reduces the workload of manual inspection, improves efficiency and accuracy, and solves the problem of low efficiency in fault detection of power communication equipment in existing technologies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID FUJIAN ELECTRIC POWER CO LTD
- Filing Date
- 2023-11-06
- Publication Date
- 2026-07-10
Smart Images
Figure CN117517922B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a fault diagnosis and detection system for power communication equipment, belonging to the field of power system equipment technology. Background Technology
[0002] With the continuous expansion of my country's smart grid, the number of communication devices and the network coverage of the power communication network, which carries operation management and production dispatching, have grown rapidly. The role of power communication as a fundamental support for comprehensive power grid services is becoming increasingly prominent. Therefore, further improving the operation and maintenance level and quality of service of the power communication network is crucial for the safe operation of both the power communication network and the smart grid.
[0003] Currently, power communication equipment is inspected periodically. During these inspections, each communication module within the equipment needs to be checked individually to identify potential or faulty modules. However, each power communication device often contains multiple communication modules, and the number of such devices in a management area is large. Consequently, the number of communication modules that management personnel need to inspect and test is enormous, resulting in a huge workload for fault detection and low work efficiency for management personnel.
[0004] A fault monitoring device and method for power communication equipment disclosed in Chinese invention patent with publication number CN111917795A includes a monitoring station, an information flow relay station and an information receiving station. The monitoring station includes an information acquisition module, an information storage module, an information monitoring module and an information transmission module.
[0005] The above example does not diagnose faults in power communication equipment and therefore cannot provide a diagnosis result, so it urgently needs improvement. Summary of the Invention
[0006] To overcome the shortcomings of the prior art, this invention designs a fault diagnosis and detection system for power communication equipment. This system can predict faults in various communication modules within the power communication equipment and prompt maintenance personnel to conduct on-site inspections based on the prediction results. This can significantly reduce the workload of manual maintenance and inspection and greatly improve the efficiency of maintenance and inspection.
[0007] To achieve the above objectives, the present invention adopts the following technical solution:
[0008] A fault diagnosis and detection system for power communication equipment, comprising:
[0009] First data acquisition module: used to acquire voltage and current signals of the target communication module within the power communication equipment and output the acquisition results;
[0010] The second data acquisition module is used to acquire voltage and current signals from the upper-level communication module and output the acquisition results; the upper-level communication module is the communication module one level above the target communication module.
[0011] The third data acquisition module is used to acquire voltage and current signals from the peer communication module and output the acquisition results; the peer communication module is a communication module located at the same level as the target communication module.
[0012] Temperature acquisition module: Used to acquire the temperature of the target communication module, the upstream communication module, and the peer communication module, and output the acquisition results;
[0013] Data storage module: Electrically connected to the first data acquisition module, the second data acquisition module, the third data acquisition module, and the temperature acquisition module respectively, for storing data;
[0014] Data processing module: electrically connected to the data storage module, used to filter and extract features from the data output by the data storage module, obtain the signal change features of the target communication module, the upper-level communication module and the peer communication module, and then compare the signal change features of the target communication module with the signal change features of the peer communication module and the upper-level communication module respectively, and output the comparison results.
[0015] Fault prediction module: Electrically connected to the data processing module, used to receive the comparison results output by the data processing module and predict the faults of the target communication module;
[0016] Anomaly alert module: Electrically connected to the fault prediction module, it receives the prediction results from the fault prediction module and sends anomaly alert information to the management personnel, reminding them to go to the site to detect and troubleshoot the fault.
[0017] Furthermore, the specific method by which the fault prediction module performs fault prediction on the target communication module is as follows:
[0018] When the signal change characteristics of the target communication module do not match the signal change characteristics of the communication module at the same level, the fault prediction module determines that the target communication module may have potential faults.
[0019] When the fault prediction module determines that the target communication module may have a potential fault, it further compares the signal change characteristics of the target communication module with the signal change characteristics of the superior communication module, and compares the signal change characteristics of the same level communication module with the signal change characteristics of the superior communication module.
[0020] If the signal change characteristics of the upper-level communication module match those of the same-level communication module, then it is determined that the target communication module may be malfunctioning.
[0021] If the signal change characteristics of the upper-level communication module do not match those of the same-level communication module, it is determined that the abnormality of the target communication module may be caused by a fault in the upper-level communication module.
[0022] Furthermore, the signal change characteristics include voltage signal change characteristics, current signal change characteristics, and temperature signal change characteristics;
[0023] The voltage signal change characteristic refers to the magnitude of the voltage value change;
[0024] The current signal change characteristic refers to the magnitude of the current value change;
[0025] The temperature signal change characteristic refers to the magnitude of the temperature value change;
[0026] Several sets of signal value change ranges are preset. When the change range of a certain signal value of the target communication module and the corresponding signal value change range of the same level communication module fall into the same signal value change range, the signal change characteristic of the target communication module is considered to match the corresponding signal change characteristic of the same level communication module.
[0027] Furthermore, it also includes a distance calculation module, which is used to calculate the distance between the peer communication module and the target communication module, and selects the communication module whose distance from the target communication module is lower than a preset value when selecting peer communication modules.
[0028] Furthermore, the specific steps for calculating the alienation degree are as follows:
[0029] S1: Obtain the model series, manufacturing date and working status of each communication module and assign values to each working status;
[0030] S2: The formula for calculating alienation is as follows:
[0031] P=a×|m1-m2|+b×|s1-s2|+c×|d1-d2|;
[0032] Where a, b, and c are weighting coefficients, a + b + c = 1 and a <b<c;
[0033] m1 is the manufacturing month of the target communication module, and m2 is the manufacturing month of the selected peer communication module.
[0034] s1 is the series digital code of the target communication module, and s2 is the series digital code of the selected peer communication module;
[0035] d1 is assigned a value to the working status of the target communication module, and d2 is assigned a value to the working status of the selected peer communication module.
[0036] Furthermore, when selecting a peer communication module, only those peer communication modules of the same model and manufactured in the same year as the target communication module are selected. Then, the manufacturing month, numerical series code, and working status of the target communication module and the selected peer communication module are substituted into the alienation calculation formula to calculate the alienation value between the selected peer communication module and the target communication module.
[0037] Furthermore, it also includes a confidence module: electrically connected to the fault prediction module, used to set the confidence level for various prediction results output by the fault prediction module. When the fault prediction module obtains a prediction result, it retrieves the confidence level of the prediction result, and the anomaly prompt module issues a prompt message containing the prediction result and the confidence level.
[0038] Furthermore, it also includes a correction module: electrically connected to the confidence module, used to correct the confidence level of various prediction results.
[0039] Furthermore, the method for correcting the confidence level is as follows:
[0040] A1: After the anomaly prompt module sends an anomaly prompt to the management personnel, the management personnel rush to the site to conduct an inspection, and then input the inspection results into the correction module;
[0041] A2: The correction module compiles statistics on the pre-judgment results issued by the anomaly alert module and the inspection results obtained by the management personnel after actual inspection;
[0042] A3: Once the number of statistical counts reaches a certain amount, the correction module compares the prediction results of each count with the corresponding actual inspection results to obtain the accuracy of various prediction results;
[0043] A4: The final correction module adjusts the confidence level of various prediction results based on the obtained accuracy. The higher the accuracy, the higher the confidence level.
[0044] Furthermore, it also includes a marking module, which is electrically connected to the data storage module and the fault prediction module respectively. After the abnormality prompt module issues an abnormality prompt, when the manager checks and finds that the target communication module is indeed faulty, the manager inputs the inspection result through the correction module, and the marking module marks the target communication module as faulty. In the subsequent process of fault prediction for other target communication modules, the data processing module will not select the target communication module marked as faulty.
[0045] Compared with the prior art, the present invention has the following features and beneficial effects:
[0046] 1. In this invention, by setting up a first data acquisition module, a second data acquisition module, and a third data acquisition module, current signals, voltage signals, and temperature signals of the target communication module can be acquired. These signals are then transmitted to a data processing module via a data storage module. The data processing module can filter and extract features from the acquired signals and perform feature comparison. The data processing module then outputs the results to a fault prediction module, which can predict faults based on the comparison results. Subsequently, an anomaly alert module prompts maintenance personnel to conduct on-site inspection and confirmation. This enables rapid screening of faults in a large number of power communication devices, avoiding the need for staff to inspect each communication module individually. This significantly reduces the workload of staff, lowers the workload of manual maintenance and inspection, and significantly improves the efficiency of maintenance and inspection, while also effectively improving the accuracy of inspections.
[0047] 2. In this invention, a separation degree calculation module is set up to calculate the separation degree between the peer communication module and the target communication module, thereby facilitating the acquisition of effective signal change characteristics of the peer communication module and improving the reliability of subsequent comparisons. A specific separation degree calculation formula is provided. When selecting peer communication modules, only those of the same model and manufactured in the same year as the target communication module are selected. The manufacturing month, numerical series code, and working status of the target and selected peer communication modules are then substituted into the separation degree calculation formula to calculate the separation degree value between the selected peer communication module and the target communication module. The calculated separation degree value is then compared with a preset separation degree value. When the calculated separation degree value is less than the preset separation degree value, the selected communication module is considered a valid comparison object, and its signal change characteristics are considered valid signal change characteristics. Finally, the signal change characteristics of the target communication module and the selected peer communication module are compared, effectively improving the reliability of the system.
[0048] 3. In this invention, by setting a confidence level module, the prediction results can provide a reference for managers, further improving the reliability of the system. At the same time, by setting a correction module and providing specific correction methods, the confidence level of various prediction results can be dynamically adjusted during system operation, which is conducive to further improving the accuracy of system prediction.
[0049] 4. In this invention, by setting a marking module, after the abnormal prompting module issues an abnormal prompt, when the manager checks and finds that the target communication module is indeed faulty, the manager inputs the inspection result through the correction module, and the marking module marks the target communication module as faulty. In the subsequent process of predicting the faults of other target communication modules, the data processing module will not select the target communication module marked as faulty, which can avoid the influence of the comparison results of the faulty communication module and improve the accuracy of the system. Attached Figure Description
[0050] Figure 1 This is a connection block diagram of the present invention.
[0051] The attached diagram is labeled as follows: 1. First data acquisition module; 2. Second data acquisition module; 3. Third data acquisition module; 4. Temperature acquisition module; 5. Data storage module; 6. Marking module; 7. Anomaly alert module; 8. Fault prediction module; 9. Data processing module; 10. Alienation calculation module; 11. Confidence module; 12. Correction module. Detailed Implementation
[0052] The present invention will now be described in more detail with reference to the embodiments.
[0053] like Figure 1 As shown, the power communication equipment fault diagnosis and detection system of this embodiment includes:
[0054] First data acquisition module 1: used to acquire voltage and current signals of the target communication module within the power communication equipment and output the acquisition results;
[0055] Second data acquisition module 2: used to acquire voltage and current signals from the upper-level communication module and output the acquisition results; the upper-level communication module is the communication module one level above the target communication module;
[0056] The third data acquisition module 3 is used to acquire voltage and current signals from the peer communication module and output the acquisition results; the peer communication module is a communication module located at the same level as the target communication module.
[0057] Temperature acquisition module 4: Used to acquire the temperature of the target communication module, the upper-level communication module, and the peer communication module, and output the acquisition results;
[0058] Data storage module 5: Electrically connected to the first data acquisition module 1, the second data acquisition module 2, the third data acquisition module 3 and the temperature acquisition module 4 respectively, for storing data;
[0059] Data processing module 9: Electrically connected to data storage module 5, used to filter and extract features from the data output by data storage module 5, obtain the signal change features of target communication module, upper-level communication module and peer communication module, then compare the signal change features of target communication module with the signal change features of peer communication module and upper-level communication module respectively, and output the comparison results.
[0060] Fault prediction module 8: Electrically connected to data processing module 9, used to receive the comparison results output by data processing module 9 and to predict the faults of the target communication module;
[0061] Anomaly alert module 7: Electrically connected to fault prediction module 8, used to receive the prediction results of fault prediction module 8 and send anomaly alert information to management personnel, reminding management personnel to go to the site for fault detection and troubleshooting.
[0062] As can be seen from the above description, the beneficial effects of the present invention are as follows: by setting up a first data acquisition module 1, a second data acquisition module 2, and a third data acquisition module 3, current signals, voltage signals, and temperature signals of the target communication module can be acquired. Then, the data signals are transmitted to the data processing module 9 through the data storage module 5. The data processing module 9 can filter and extract features from the acquired signals and perform feature comparison. Then, the data processing module 9 outputs the results to the fault prediction module 8. The fault prediction module 8 can predict the fault based on the comparison results, and then prompt the maintenance personnel to conduct on-site inspection and confirmation through the anomaly prompting module 7. This enables rapid screening of faults in a large number of power communication devices, avoids the need for staff to check each communication module one by one, greatly reduces the workload of staff, reduces the workload of manual maintenance and inspection, significantly improves the efficiency of maintenance and inspection, and also effectively improves the accuracy of inspection.
[0063] Furthermore, the specific method by which the fault prediction module 8 performs fault prediction on the target communication module is as follows:
[0064] When the signal change characteristics of the target communication module do not match the signal change characteristics of the communication module at the same level, the fault prediction module 8 judges that the target communication module may have potential faults.
[0065] When the fault prediction module 8 determines that the target communication module may have a potential fault, it further compares the signal change characteristics of the target communication module with the signal change characteristics of the superior communication module, and compares the signal change characteristics of the same level communication module with the signal change characteristics of the superior communication module.
[0066] If the signal change characteristics of the upper-level communication module match the signal change characteristics of the same-level communication module, it is determined that the target communication module may be faulty.
[0067] If the signal change characteristics of the upper-level communication module do not match those of the same-level communication module, it is determined that the abnormality of the target communication module may be caused by a fault in the upper-level communication module.
[0068] Furthermore, the signal change characteristics include voltage signal change characteristics, current signal change characteristics, and temperature signal change characteristics;
[0069] Voltage signal change characteristics refer to the magnitude of voltage value changes;
[0070] The characteristic of current signal change refers to the magnitude of the change in current value;
[0071] Temperature signal change characteristics refer to the magnitude of temperature value changes;
[0072] Several sets of signal value change ranges are preset. When the change range of a certain signal value of the target communication module and the corresponding signal value change range of the same level communication module fall into the same signal value change range, the signal change characteristic of the target communication module is considered to match the corresponding signal change characteristic of the same level communication module.
[0073] It should be noted that the change range of a certain signal value of the target communication module and the corresponding change range of the signal value of the corresponding communication module at the same level refer to the change range of the voltage value of the target communication module corresponding to the change range of the voltage value of the corresponding communication module at the same level, the change range of the current value of the target communication module corresponding to the change range of the current value of the corresponding communication module at the same level, and the change range of the temperature value of the target communication module corresponding to the change range of the temperature value of the corresponding communication module at the same level.
[0074] For example, when the fault prediction module 8 compares the voltage signal change characteristics of the target communication module with those of the peer communication module, it reads the voltage acquisition values of the target communication module and the peer communication module at two different time points and calculates the voltage change amplitude of the target communication module and the peer communication module. Then, it presets several voltage change amplitude ranges. When the voltage signal change amplitude of the target communication module and the voltage signal change amplitude of the peer communication module fall within the same voltage change amplitude range, it is considered that the voltage signal change characteristics of the target communication module match those of the peer communication module.
[0075] The same method was used to compare the variation characteristics of the current signal and the temperature signal.
[0076] As can be seen from the above description, under normal circumstances, the signal change characteristics of the target communication module are very similar to those of the same level communication module and the superior communication module with similar working conditions. By comparing the signal change characteristics of the target communication module with those of the superior communication module and multiple selected same level communication modules, it is possible to predict whether the target communication module has potential faults, thus playing a role in rapid screening and prediction.
[0077] By using the fault prediction module 8 to predict faults in the target communication module, fault prediction can be performed on each communication module in the power communication equipment. Based on the prediction results, maintenance personnel are prompted to conduct on-site inspections and confirmations. This eliminates the need for maintenance personnel to check and inspect each communication module one by one. It is suitable for rapid screening of faults in a large number of power communication equipment, which can significantly reduce the workload of manual maintenance and inspection and significantly improve the efficiency of maintenance and inspection.
[0078] Furthermore, it also includes a distance calculation module 10, which is used to calculate the distance between the peer communication module and the target communication module. When selecting a peer communication module, it selects a communication module whose distance from the target communication module is lower than a preset value.
[0079] As can be seen from the above description, it is convenient to obtain the effective signal change characteristics of the same level communication module, thereby improving the reliability of subsequent comparisons.
[0080] Furthermore, the specific steps for calculating alienation are as follows:
[0081] S1: Obtain the model series, manufacturing date and working status of each communication module and assign values to each working status;
[0082] The model series includes a model letter code and a series number code. For example, the model series AX-700 and AX-710, where AX is the model letter code and 700 and 710 are the series number codes.
[0083] After obtaining the manufacturing date and month information, read the production year and month;
[0084] The working states include "connected state", "idle state" and "energy saving state", with "connected state" assigned a value of 2, "idle state" assigned a value of 1 and "energy saving state" assigned a value of 0.
[0085] S2: The formula for calculating alienation is as follows:
[0086] P=a×|m1-m2|+b×|s1-s2|+c×|d1-d2|;
[0087] Where a, b, and c are weighting coefficients, a + b + c = 1 and a <b<c;
[0088] m1 is the manufacturing month of the target communication module, and m2 is the manufacturing month of the selected peer communication module.
[0089] s1 is the series digital code of the target communication module, and s2 is the series digital code of the selected peer communication module;
[0090] d1 is assigned a value to the working status of the target communication module, and d2 is assigned a value to the working status of the selected peer communication module.
[0091] Furthermore, when selecting a peer communication module, only peer communication modules of the same model and manufactured in the same year as the target communication module are selected; then, the manufacturing month, numerical series code, and working status of the target communication module and the selected peer communication module are substituted into the alienation calculation formula to calculate the alienation value between the selected peer communication module and the target communication module.
[0092] The calculated alienation value is then compared with the preset alienation value. When the calculated alienation value is less than the preset alienation value, the selected communication module is considered a valid control object, and its signal change characteristics are valid signal change characteristics. Then, the signal change characteristics of the target communication module are compared with those of the selected peer communication module.
[0093] Furthermore, it also includes a confidence module 11: electrically connected to the fault prediction module 8, used to set a confidence level for various prediction results output by the fault prediction module 8. When the fault prediction module 8 obtains a prediction result, it retrieves the confidence level of the prediction result, and the abnormal prompt module issues a prompt message containing the prediction result and the confidence level.
[0094] As can be seen from the above description, by setting the confidence module 11, the prediction results can provide a reference for managers and improve the reliability of the system.
[0095] Furthermore, it also includes a correction module 12: electrically connected to the confidence module 11, used to correct the confidence of various prediction results;
[0096] The method for correcting confidence levels is as follows:
[0097] A1: After the anomaly prompt module 7 sends an anomaly prompt to the management personnel, the management personnel rush to the site to conduct an inspection, and then input the inspection results into the correction module 12.
[0098] A2: The correction module 12 performs statistics on the pre-judgment results issued by the anomaly prompt module 7 and the inspection results obtained by the management personnel after actual inspection;
[0099] A3: When the number of statistical counts reaches a certain amount, the correction module 12 compares the prediction results of each count with the corresponding actual inspection results to obtain the accuracy of various prediction results;
[0100] A4: The final correction module 12 adjusts the confidence level of various prediction results based on the obtained accuracy. The higher the accuracy, the higher the confidence level.
[0101] As can be seen from the above description, by setting the correction module 12 and the corresponding correction method, the confidence level of various prediction results can be dynamically adjusted during system operation, which is conducive to further improving the accuracy of system prediction.
[0102] Furthermore, it also includes a marking module 6, which is electrically connected to the data storage module 5 and the fault prediction module 8 respectively. After the abnormality prompt module issues an abnormality prompt, when the manager finds that the target communication module is indeed faulty, the manager inputs the inspection result through the correction module 12, and the marking module 6 marks the target communication module as faulty. In the subsequent process of predicting the faults of other target communication modules, the data processing module 9 will not select the target communication module marked as faulty.
[0103] As can be seen from the above description, by setting the marking module 6, the communication module in a fault state can be prevented from affecting the comparison results, thereby improving the accuracy of the system.
[0104] The working principle of this invention is as follows: By setting up a first data acquisition module 1, a second data acquisition module 2, and a third data acquisition module 3, current signals, voltage signals, and temperature signals of the target communication module can be acquired. Then, the data signals are transmitted to the data processing module 9 through the data storage module 5. The data processing module 9 can filter and extract features from the acquired signals and perform feature comparison. Then, the data processing module 9 outputs the results to the fault prediction module 8. The fault prediction module 8 can predict the fault based on the comparison results, and then prompt the maintenance personnel to conduct an on-site inspection and confirmation through the anomaly prompt module 7.
[0105] In the description of this invention, it should be noted that the terms "inner", "outer", "upper", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.
[0106] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0107] Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.
Claims
1. A fault diagnosis and detection system for power communication equipment, characterized in that: include: First data acquisition module: used to acquire voltage and current signals of the target communication module within the power communication equipment and output the acquisition results; Second data acquisition module: used to acquire voltage and current signals from the upper-level communication module and output the acquisition results; The upper-level communication module is the communication module one level above the target communication module; The third data acquisition module is used to acquire voltage and current signals from the peer communication module and output the acquisition results; the peer communication module is the communication module located at the same level as the target communication module. Temperature acquisition module: Used to acquire the temperature of the target communication module, the upstream communication module, and the peer communication module, and output the acquisition results; Data storage module: Electrically connected to the first data acquisition module, the second data acquisition module, the third data acquisition module, and the temperature acquisition module respectively, for storing data; Data processing module: Electrically connected to the data storage module, it is used to filter and extract features from the data output by the data storage module, obtain the signal change features of the target communication module, the upper-level communication module, and the peer communication module, and then compare the signal change features of the target communication module with the signal change features of the peer communication module and the upper-level communication module, and output the comparison results. Fault prediction module: Electrically connected to the data processing module, used to receive the comparison results output by the data processing module and predict the faults of the target communication module; Anomaly alert module: Electrically connected to the fault prediction module, it is used to receive the prediction results of the fault prediction module and send anomaly alert information to the management personnel, reminding them to go to the site to detect and troubleshoot the fault; It also includes a distance calculation module, which is used to calculate the distance between the peer communication module and the target communication module. When selecting peer communication modules, the communication module with a distance lower than the target communication module is selected. The specific steps for calculating alienation are as follows: S1: Obtain the model series, manufacturing date and working status of each communication module and assign values to each working status; S2: The formula for calculating alienation is as follows: P=a×|m1-m2|+b×|s1-s2|+c×|d1-d2|; Where a, b, and c are weighting coefficients, a + b + c = 1 and a <b<c; m1 is the manufacturing month of the target communication module, and m2 is the manufacturing month of the selected peer communication module. s1 is the series of digital codes for the target communication module, and s2 is the series of digital codes for the selected peer communication module. d1 is assigned a value to the working status of the target communication module, and d2 is assigned a value to the working status of the selected peer communication module.
2. The fault diagnosis and detection system for power communication equipment according to claim 1, characterized in that: The specific method by which the fault prediction module performs fault prediction on the target communication module is as follows: When the signal change characteristics of the target communication module do not match the signal change characteristics of the peer communication module, the fault prediction module determines that the target communication module may have potential faults. When the fault prediction module determines that the target communication module may have a potential fault, it further compares the signal change characteristics of the target communication module with the signal change characteristics of the superior communication module, and compares the signal change characteristics of the same level communication module with the signal change characteristics of the superior communication module. If the signal change characteristics of the upper-level communication module match those of the same-level communication module, then it is determined that the target communication module may be malfunctioning. If the signal change characteristics of the upper-level communication module do not match those of the same-level communication module, it is determined that the abnormality of the target communication module may be caused by a fault in the upper-level communication module.
3. The fault diagnosis and detection system for power communication equipment according to claim 1, characterized in that: The signal change characteristics include voltage signal change characteristics, current signal change characteristics, and temperature signal change characteristics; The voltage signal change characteristic refers to the magnitude of the voltage value change; The current signal change characteristic refers to the magnitude of the current value change; The temperature signal change characteristic refers to the magnitude of the temperature value change; Several sets of signal value change ranges are preset. When the change range of a certain signal value of the target communication module and the corresponding signal value change range of the same level communication module fall into the same signal value change range, the signal change characteristic of the target communication module is considered to match the corresponding signal change characteristic of the same level communication module.
4. The fault diagnosis and detection system for power communication equipment according to claim 1, characterized in that: When selecting a peer communication module, only select a peer communication module that is the same model and manufactured in the same year as the target communication module. Then, the manufacturing month, series number code, and working status of the target communication module and the selected peer communication module are substituted into the alienation calculation formula to calculate the alienation value between the selected peer communication module and the target communication module.
5. The fault diagnosis and detection system for power communication equipment according to claim 1, characterized in that: It also includes a confidence module: electrically connected to the fault prediction module, used to set the confidence level for various prediction results output by the fault prediction module. When the fault prediction module obtains a prediction result, it retrieves the confidence level of the prediction result, and the anomaly prompt module issues a prompt message containing the prediction result and the confidence level.
6. The fault diagnosis and detection system for power communication equipment according to claim 5, characterized in that: It also includes a correction module: electrically connected to the confidence module, used to correct the confidence level of various prediction results.
7. The fault diagnosis and detection system for power communication equipment according to claim 6, characterized in that: The method for correcting confidence levels is as follows: A1: After the anomaly alert module sends an anomaly alert to the administrator, the administrator rushes to the site to conduct an inspection and then inputs the inspection results into the correction module; A2: The correction module compiles statistics on the pre-judgment results issued by the anomaly alert module and the inspection results obtained by the management personnel after actual inspection; A3: Once the number of statistical counts reaches a certain amount, the correction module compares the prediction results of each count with the corresponding actual inspection results to obtain the accuracy of various prediction results; A4: The final correction module adjusts the confidence level of various prediction results based on the obtained accuracy. The higher the accuracy, the higher the confidence level.
8. The fault diagnosis and detection system for power communication equipment according to claim 7, characterized in that: It also includes a marking module, which is electrically connected to the data storage module and the fault prediction module respectively. After the abnormality prompt module issues an abnormality prompt, when the manager finds that the target communication module is indeed faulty, the manager inputs the inspection result through the correction module, and the marking module marks the target communication module as faulty. In the subsequent process of predicting the faults of other target communication modules, the data processing module will not select the target communication module marked as faulty.