Coupler health state monitoring method and system

Abstract

The invention relates to the technical field of electrical diagnosis, in particular to a coupler health state monitoring method and system, and the method comprises the steps: detecting the electrical connection integrity based on the historical performance data of a coupler, measuring the voltage and current deviation in a signal path, and predicting the initial health state of the coupler through the data in the signal path, and generating a health state prediction result. According to the invention, through electrical connection integrity inspection and voltage and current deviation measurement of a signal path, the initial health state of the coupler is accurately predicted, the diagnosis accuracy is improved, non-planned shutdown is avoided through timely intervention, a risk assessment model is adjusted based on a health prediction result, and circuit board parameters are adjusted in real time according to environment and operation conditions. Equipment performance is optimized, future states are simulated, potential risks are predicted, maintenance strategies are planned, maintenance cost is reduced, signal quality is continuously monitored, abnormal signals are recognized in time, equipment damage risks are reduced, and stable operation of the coupler is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of electrical diagnosis technology, and in particular to a method and system for monitoring the health status of a coupler. Background Art

[0002] The field of electrical diagnostics technology focuses on analyzing and evaluating the performance status of electrical systems, components, and devices in order to detect potential anomalies or failures. This field uses a variety of testing and monitoring methods, such as voltage, current, impedance measurement, and more advanced signal processing techniques to determine whether the equipment is operating in an optimal state or there are signs of performance degradation. Electrical diagnostics not only helps prevent sudden failures and improve system reliability and efficiency, but also extends the service life of equipment through timely maintenance and repair. Electrical diagnostics technology plays a vital role in industry, energy, transportation, and consumer electrical appliances.

[0003] Among them, the coupler health status monitoring method is a technology used to detect whether the coupler sends abnormal signals in the field of power and signal transmission. The main purpose of this method is to ensure the normal operation of the coupler and promptly detect any signal anomalies that cause equipment performance degradation or failure. By monitoring the output signal of the coupler in real time and comparing it with normal operating parameters, this technology can quickly identify abnormal fluctuations or interruptions in the signal, allowing the maintenance team to take preventive measures to avoid more serious equipment damage or equipment failure.

[0004] Although the existing coupler health status monitoring methods are widely used in industrial and power systems, they focus on static testing and monitoring and lack adaptability to real-time data and environmental changes. This static diagnostic method cannot accurately reflect the immediate status of the equipment and the impact of environmental factors, resulting in delayed or inaccurate diagnostic information under rapidly changing operating conditions. Traditional methods are not flexible enough in data processing and risk assessment, and cannot be dynamically adjusted according to real-time monitoring data, which limits the effectiveness and timeliness of fault prevention. For example, when the equipment is operating in extreme environments, the fixed diagnostic mode cannot effectively identify all potential fault signals, resulting in the failure to take timely measures to avoid failures. The limitations of such technologies not only increase the operating risks of the equipment, but also increase maintenance costs and the total cost of ownership of the equipment due to untimely fault detection. Summary of the invention

[0005] The present application provides a method and system for monitoring the health status of a coupler. Although the existing methods for monitoring the health status of a coupler are widely used in industrial and power systems, they focus on static testing and monitoring and lack adaptability to real-time data and environmental changes. This static diagnostic method cannot accurately reflect the immediate status of the equipment and the impact of environmental factors, resulting in delayed or inaccurate diagnostic information under rapidly changing operating conditions. Traditional methods are not flexible enough in data processing and risk assessment, and cannot be dynamically adjusted according to real-time monitoring data, which limits the effectiveness and timeliness of fault prevention. For example, when the equipment is operating in an extreme environment, the fixed diagnostic mode cannot effectively identify all potential fault signals, resulting in the failure to take timely measures to avoid failures. The limitations of such technologies not only increase the operating risks of the equipment, but also increase maintenance costs and the overall cost of ownership of the equipment due to untimely fault detection.

[0006] In view of the above problems, the present application provides a method and system for monitoring the health status of a coupler.

[0007] The present application provides a method for monitoring the health status of a coupler, wherein the method comprises: S1: Based on the historical performance data of the coupler, detect the integrity of the electrical connection, measure the voltage and current deviations in the signal path, predict the initial health state of the coupler through the data in the signal path, and generate a health state prediction result; S2: using the health status prediction result, adjusting the risk assessment model, adjusting the current and voltage parameters on the circuit board according to environmental factors and the operating conditions of the coupler, updating the risk level of the coupler in real time, and obtaining an updated risk assessment result; S3: Using the updated risk assessment results, simulate the state of the coupler in the future time period, combine with real-time monitoring data, measure and record changes in key parameters during operation, analyze potential risk levels, predict maintenance requirements for the coupler, and obtain risk level prediction results; S4: Based on the risk level prediction result, monitor the operating status of the coupler, record and analyze the circuit board signal quality, use a signal quality detection tool to continuously monitor the working status of the circuit board, and obtain abnormal signal identification results by identifying abnormal changes in the signal.

[0008] Preferably, the electrical connection integrity detection method is: S111: Based on the historical performance data of the coupler, collect electrical connection data, extract the electrical connection data from the historical performance record of the coupler, obtain the connection status and maintenance record, and generate connection data details; S112: Calculate the standard deviation of the voltage and current of the electrical connection according to the connection data details, using the formula: ; Evaluate the stability of the connection and generate connection stability parameters, where represents the standard deviation, is the measured value of voltage or current, is the average value, is the sample size, is the weight coefficient, is the balance coefficient, is the adjustment factor; S113: Based on the connection stability parameter, evaluate the electrical connection integrity, compare the connection stability parameter with a preset stability threshold, and determine whether the connection is complete or at risk, using the formula: ; Generates electrical connection integrity assessment results, where: Indicates the integrity of the connection, 1 represents completeness, 0 represents risk. is the stability threshold.

[0009] Preferably, the steps for obtaining the health status prediction result are specifically as follows: S121: Based on the electrical connection integrity assessment result, measure the voltage and current in the signal path, collect real-time voltage and current data from the signal path of the coupler, and generate signal path parameters; S122: Based on the signal path parameters, a health status prediction model is established, and a nonlinear model is applied to calculate the index of signal abnormality to obtain a signal health index, using the formula: ; in, Represents the signal health indicator, is the measured voltage value, is the average value of the normal voltage range, is the measured current value, is the average value of the normal current range, is the sample size, and is the index, is the weight coefficient; S123: Compare the signal health index with the preset health standard and use the judgment formula: ; The initial health state of the coupler is determined based on the comparison results, and a health state prediction result is generated, where represents the health status prediction result, is a signal health indicator, is the health threshold.

[0010] Preferably, the steps of obtaining the risk assessment model are specifically as follows: S211: Analyze the health status prediction result, evaluate the current equipment status, and generate an equipment status evaluation result. Based on the equipment status evaluation results, according to environmental factors and the operating conditions of the coupler, the influence of multiple factors on the coupler performance is analyzed, and the current and voltage parameters in the model are adjusted using the formula: ; ; Get the parameter adjustment results, where and Represent the adjusted voltage and current respectively, and are the original voltage and current, and is the adjustment factor, Indicates the influence of environmental factors. Indicates the influence of operating conditions, and is the steepness parameter of the response curve, is the current time, is the time delay parameter; S212: Based on the parameter adjustment result, the risk level of the coupler is updated in real time, and the risk level of the coupler is recalculated using the adjusted current and voltage parameters, using the formula: ; Generate real-time risk level update results, where: is the updated risk level, and are the adjusted voltage and current, is the previous risk level, is the sensitivity parameter of the adjustment; S213: According to the real-time risk level update result and the continuous monitoring data, key parameters of the risk level are adjusted to obtain a risk assessment model.

[0011] Preferably, the steps for obtaining the updated risk assessment results are specifically: S221: Based on the risk assessment model, the current and voltage parameters on the circuit board are adjusted according to environmental factors and the operating conditions of the coupler, using the formula: ; ; Calculate the adjusted voltage and current to generate the adjusted board parameters, where represents the adjusted voltage, represents the original voltage, represents the adjustment factor for environmental factors, Represents the change in environmental factors, represents the ambient temperature influence coefficient, represents the ambient temperature, represents the adjusted current, represents the original current, represents the adjustment factor for the operating conditions, represents the change in operating conditions, represents the operating temperature influence coefficient, represents the operating temperature; S222: Re-estimate the risk level of the coupler using the adjusted circuit board parameters, using the formula: ; The risk level of the new coupler is calculated, where Represents the risk level of the new coupler, represents the risk adjustment factor, represents the risk baseline adjustment parameter, represents the sensitivity parameter for risk level adjustment, and Adjusted voltage and current steps respectively; S223: According to the new coupler risk level, update the risk assessment structure result of the coupler, using the formula: ; Calculate and generate updated risk assessment results, where: Represents the updated risk assessment results, and Represent the weight factors of the new risk level and the old risk assessment results, respectively. is the risk level of the new coupler, Represents old risk assessment results.

[0012] Preferably, the steps of obtaining the risk level prediction result are specifically as follows: S311: Based on the updated risk assessment result, simulate the state of the coupler in the future time period, combine the operating conditions and environmental factors of the coupler, simulate the state change in the future time period, and use the formula: ; Get the future state simulation results, where represents the risk assessment value in the future time period, is the current risk factor, Is factor The duration to the predicted time, is the decay constant, and is the adjustment parameter for time effect, is the sensitivity to environmental factors, is the rate of environmental change, It’s environmental factors The duration to the predicted time, is the total length of the forecast period; S312: Analyze the potential risk level using the future state simulation results, evaluate the risk level under differentiated operating conditions, and generate the potential risk level using the formula: ; in, Indicates the potential risk level, is the risk assessment value for the future time period, and is the adjustment parameter, is the historical risk assessment value; S313: Predicting maintenance requirements of the coupler according to the potential risk level and historical maintenance data of the coupler to obtain a risk level prediction result.

[0013] Preferably, the step of obtaining the abnormal signal recognition result is specifically: S411: Based on the risk level prediction result, monitor the operating status of the coupler, and continuously monitor the working status of the circuit board through a signal quality detection tool, using the formula: ; Calculate the signal state at each moment and generate a summary signal state, where To summarize the signal status, Representative signal The weight of represents the state of signal i at time t, represents the signal attenuation coefficient, represents the time increment, represents the phase adjustment of the signal, Represents the total number of monitored signals; S412: Based on the summarized signal status, record and analyze the circuit board signal quality, using the formula: ; Process the summary signal state, adjust it through thresholds and adjustment factors, refer to the variance adjustment coefficient of the signal, and calculate and generate a signal quality index, where: represents the signal quality index, To summarize the signal status, represents the gain parameter of the signal, represents the threshold of the signal, Represents the standard deviation of the signal state; S413: Based on the signal quality index, by identifying abnormal changes in the signal, an abnormal signal identification result is obtained, using the judgment formula: ; According to the ratio of the signal quality index to the adjustment factor and the set judgment threshold, it is judged whether the signal is abnormal and an abnormal signal recognition result is generated, wherein: Represents the abnormal signal recognition result, is the signal quality index, represents the adjustment factor of the signal quality, Represents the decision threshold.

[0014] A coupler health status monitoring system, the system comprising: The signal integrity detection module performs detailed inspection of electrical connections and continuity verification of signal paths based on the coupler's historical performance data, and generates initial health status indicators by comparing them with the set standard parameters. The risk dynamic adjustment module uses the initial health status indicator to adjust the current and voltage setting values ​​on the circuit board according to environmental changes and the real-time operating conditions of the coupler, evaluates the risk level changes, and generates a dynamic risk rating; The maintenance strategy prediction module predicts the state in the future time period based on the dynamic risk rating, combined with the expected use conditions and predicted environmental factors of the coupler, records the change trend of key parameters, formulates a corresponding maintenance plan, and generates a predictive maintenance strategy; The signal quality analysis module deploys a spectrum analyzer according to the predictive maintenance strategy, continuously tracks the signal quality during the operation of the coupler, captures and analyzes signal fluctuations and anomalies in real time, and generates signal anomaly results; The abnormal response decision module analyzes the abnormal signal results, processes them through the set emergency response measures, optimizes and adjusts the response strategy and reduces the risks in the future time period, and generates fault response results.

[0015] One or more technical solutions provided in this application have at least the following technical effects or advantages: By checking the integrity of electrical connections and measuring the voltage and current deviations of signal paths, a more accurate prediction of the coupler's initial health status can be achieved. This data-based prediction not only improves the accuracy of diagnosis, but also enables intervention at the early stage of the problem, thereby reducing unplanned downtime of the equipment. By adjusting the risk assessment model based on the health prediction results, the circuit board parameters can be adjusted in real time according to the current environment and operating conditions. Such dynamic adjustments enable the equipment to maintain optimal performance in various operating environments, improving the adaptability and flexibility of the coupler. By simulating future states and predicting potential risk levels, maintenance cycles and strategies can be planned in advance, effectively reducing long-term maintenance costs and complexity. Through continuous signal quality monitoring and immediate identification of abnormal signals, the risk of serious equipment damage due to delayed diagnosis is effectively reduced, ensuring the stable operation of the entire coupler.

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The overall process flow chart of the method for monitoring the health status of a coupler proposed by the present invention; Figure 2 A flow chart of an electrical connection integrity detection method for a coupler health status monitoring method proposed by the present invention; Figure 3 A flow chart of health status prediction results of a coupler health status monitoring method proposed by the present invention; Figure 4 A flow chart of a risk assessment model for a method for monitoring the health status of a coupler proposed by the present invention; Figure 5 A flow chart of the updated risk assessment results of the coupler health status monitoring method proposed by the present invention; Figure 6 A flow chart of risk level prediction results of a method for monitoring the health status of a coupler proposed by the present invention; Figure 7 The present invention provides a flow chart of abnormal signal recognition results of the coupler health status monitoring method. DETAILED DESCRIPTION

[0018] The present application provides a method and system for monitoring the health status of a coupler.

[0019] Application Overview Although the existing coupler health status monitoring methods are widely used in industrial and power systems, they focus on static testing and monitoring and lack adaptability to real-time data and environmental changes. This static diagnostic method cannot accurately reflect the immediate status of the equipment and the impact of environmental factors, resulting in delayed or inaccurate diagnostic information under rapidly changing operating conditions. Traditional methods are not flexible enough in data processing and risk assessment, and cannot be dynamically adjusted according to real-time monitoring data, which limits the effectiveness and timeliness of fault prevention. For example, when the equipment is operating in an extreme environment, the fixed diagnostic mode cannot effectively identify all potential fault signals, resulting in the failure to take timely measures to avoid failures. The limitations of such technologies not only increase the operating risks of the equipment, but also increase maintenance costs and the total cost of ownership of the equipment due to untimely fault detection.

[0020] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows: Example

[0021] like Figure 1 As shown, the present application provides a method for monitoring the health status of a coupler, wherein the method comprises: S1: Based on the historical performance data of the coupler, detect the integrity of the electrical connection, measure the voltage and current deviations in the signal path, predict the initial health state of the coupler through the data in the signal path, and generate a health state prediction result; S2: Using the health status prediction results, adjust the risk assessment model, adjust the current and voltage parameters on the circuit board according to environmental factors and the operating conditions of the coupler, update the risk level of the coupler in real time, and obtain the updated risk assessment results; S3: Based on the updated risk assessment results, simulate the state of the coupler in the future time period, combine with real-time monitoring data, measure and record the changes of key parameters during operation, analyze the potential risk level, predict the maintenance needs of the coupler, and obtain the risk level prediction results; S4: Based on the risk level prediction results, monitor the operating status of the coupler, record and analyze the circuit board signal quality, use signal quality detection tools to continuously monitor the working status of the circuit board, and obtain abnormal signal identification results by identifying abnormal changes in the signal.

[0022] The health status prediction results include current stability index, voltage stability index, and connection reliability score. The updated risk assessment results include adjusted current safety range, adjusted voltage safety range, and environmental adaptability rating. The risk level prediction results include maintenance time intervals, risk level classification, and operational stability prediction. The abnormal signal identification results include abnormal frequency detection, abnormal amplitude analysis results, and abnormal duration statistics.

[0023] Specifically, if Figure 2 As shown, the electrical connection integrity detection method is: S111: Based on the historical performance data of the coupler, collect electrical connection data, extract the electrical connection data from the historical performance record of the coupler, obtain the connection status and maintenance record, and generate connection data details; S112: Calculate the standard deviation of the voltage and current of the electrical connection based on the connection data details, using the formula: ; Evaluate the stability of the connection and generate connection stability parameters, where represents the standard deviation, is the measured value of voltage or current, is the average value, is the sample size, is the weight coefficient, is the balance coefficient, is the adjustment factor; S113: Based on the connection stability parameter, evaluate the electrical connection integrity, compare the connection stability parameter with a preset stability threshold, and determine whether the connection is complete or at risk, using the formula: ; Generates electrical connection integrity assessment results, where: Indicates the integrity of the connection, 1 represents completeness, 0 represents risk. is the stability threshold.

[0024] The calculation process of the standard deviation formula is:

[0025] Calculate the average : is the average value of all voltage or current measurements, formula: , in Represents the voltage or current value of each measurement, is the number of measurements; Compute the weighted variance part: It is the weight coefficient assigned according to the measurement conditions or equipment importance. It calculates the weighted sum of square deviations of each measurement value relative to the average value. The formula is: ; Compute the weighted mean absolute deviation part: is the balance coefficient, which adjusts the ratio of variance to absolute deviation. Is the adjustment factor for the intensity of the nonlinear response, used to control the shape of the S-curve. Calculate the absolute difference between each measured value and the mean value, and apply the S-curve adjustment. The formula is: ; The final calculation improves the standard deviation :Combining the above two parts, weighted summation, formula: ; Assume there are 5 voltage measurements , weight [1, 0.8, 1.2, 0.9, 1.1], , .

[0026] calculate :

[0027] calculate :

[0028]

[0029]

[0030] calculate :

[0031]

[0032] calculate :

[0033]

[0034] The judgment formula for evaluating completeness is:

[0035] According to the calculated With the preset stability threshold Compare, if Less than ,but Indicates that the connection is complete, otherwise Indicates the presence of risk; Assumptions , , ,therefore: (The connection is considered complete).

[0036] Specifically, if Figure 3 As shown, the steps for obtaining the health status prediction results are as follows: S121: Based on the electrical connection integrity assessment result, measure the voltage and current in the signal path, collect real-time voltage and current data from the signal path of the coupler, and generate signal path parameters; S122: Based on the signal path parameters, a health status prediction model is established, and a nonlinear model is applied to calculate the index of signal abnormality to obtain a signal health index using the formula: ; in, Represents the signal health indicator, is the measured voltage value, is the average value of the normal voltage range, is the measured current value, is the average value of the normal current range, is the sample size, and is the index, is the weight coefficient; S123: Compare the signal health index with the preset health standard and use the judgment formula: ; The initial health state of the coupler is determined based on the comparison results, and a health state prediction result is generated, where represents the health status prediction result, is a signal health indicator, is the health threshold.

[0037] Signal health indicator formula:

[0038] Voltage deviation calculation: Collect voltage data: Assume that a set of voltage data is collected ,For example [110, 115, 112, 120, 118] volts; Calculate the average voltage: , for the above data: volt; Calculate the voltage deviation term: Use The sensitivity of index-adjusted bias, calculated , assuming , .

[0039] Current deviation calculation: Collect current data: Assume that the current data is ,For example [5.0, 5.5, 5.2, 5.8, 5.6] amps; Calculate the average current: , for the above data: ampere; Calculate the current deviation term: Assume , then calculate , .

[0040] Interaction effect calculation: Calculating the interaction term: Assumptions ,calculate ,in , .

[0041] Overall health indicators:

[0042] Health status prediction result formula:

[0043] Setting health thresholds : Assumption

[0044] according to Judgment status: , the health status of the coupler is not within the normal range.

[0045] Specifically, if Figure 4 As shown in the figure, the steps for obtaining the risk assessment model are as follows: S211: Analyze the health status prediction results, evaluate the current equipment status, and generate equipment status evaluation results. S212: Based on the equipment status assessment results, according to environmental factors and the operating conditions of the coupler, analyze the impact of multiple factors on the coupler performance, adjust the current and voltage parameters in the model, and use the formula: ; ; Get the parameter adjustment results, where and Represent the adjusted voltage and current respectively, and are the original voltage and current, and is the adjustment factor, Indicates the influence of environmental factors. Indicates the influence of operating conditions, and is the steepness parameter of the response curve, is the current time, is the time delay parameter; S213: Based on the parameter adjustment result, the risk level of the coupler is updated in real time, and the risk level of the coupler is recalculated using the adjusted current and voltage parameters, using the formula: ; Generate real-time risk level update results, where: is the updated risk level, and are the adjusted voltage and current, is the previous risk level, is the sensitivity parameter of the adjustment; S214: According to the real-time risk level update results and continuous monitoring data, key parameters of the risk level are adjusted to obtain a risk assessment model.

[0046] Improved formulas for voltage and current parameters: ; ; and are the raw voltage and current values ​​of the coupler, which can be obtained directly from the monitoring system of the device; and It is a preset adjustment factor, which is set based on historical data analysis and expert opinions and is used to adjust the sensitivity of voltage and current response to environmental and operating conditions; and They represent the quantitative impact of environmental factors and operating conditions, respectively, which can be derived from sensor data or operation logs; and It is the steepness parameter of the response curve, which determines the response speed of voltage and current to time changes obtained by model fitting; is the current time, is the time delay parameter, which represents the delay from the occurrence of the impact to the system response.

[0047] Assumptions: , , , , , , , , , , calculate:

[0048]

[0049] Compute the intermediate terms:

[0050]

[0051] so:

[0052]

[0053] Real-time risk level update formula:

[0054] is the previous risk level, obtained through the risk assessment model; It is a sensitivity parameter, obtained through historical data analysis, which determines the response speed of the risk level to parameter changes; Assumptions: , Using the previously calculated and : This means the risk is extremely high and immediate action is required.

[0055] Specifically, if Figure 5 As shown in the figure, the specific steps for obtaining the updated risk assessment results are: S221: Based on the risk assessment model, the current and voltage parameters on the circuit board are adjusted according to environmental factors and the operating conditions of the coupler, using the formula: ; ; S222: Calculate the adjusted voltage and current to generate adjusted circuit board parameters, where: represents the adjusted voltage, represents the original voltage, represents the adjustment factor for environmental factors, Represents the change in environmental factors, represents the ambient temperature influence coefficient, represents the ambient temperature, represents the adjusted current, represents the original current, represents the adjustment factor for the operating conditions, represents the change in operating conditions, represents the operating temperature influence coefficient, represents the operating temperature; Using the adjusted board parameters, re-estimate the risk level of the coupler using the formula: ; The risk level of the new coupler is calculated, where Represents the risk level of the new coupler, represents the risk adjustment factor, represents the risk baseline adjustment parameter, represents the sensitivity parameter for risk level adjustment, and Adjusted voltage and current steps respectively; S223: Update the risk assessment structure results of the coupler according to the new coupler risk level, using the formula: ; Calculate and generate updated risk assessment results, where: Represents the updated risk assessment results, and Represent the weight factors of the new risk level and the old risk assessment results, respectively. is the risk level of the new coupler, Represents old risk assessment results.

[0056] The adjusted voltage and current formulas are derived as follows: ; ; and : The original voltage and current values; : Adjustment coefficient, which represents the impact of environmental factors and operating conditions on voltage and current; : The amount of change in environmental and operating conditions; : represents the additional influence coefficient of temperature on voltage and current adjustment; : Ambient and operating temperature.

[0057] According to the actual environment and operating conditions, first determine the amount of environmental change and the amount of change in operation , according to the actual measurement or preset parameters, obtain the ambient temperature and operating temperature , calculate the denominator part of the voltage and current adjustment, that is, and , to smooth the effects of the original voltage and current, and calculate the adjusted values ​​of the voltage and current, affecting the original values ​​through the above parameters; Assumptions , Voltage Regulation:

[0058] V.

[0059] Current adjustment:

[0060] A.

[0061] The formula for the new coupler risk level is derived as follows:

[0062] : Risk level of new coupler; : Risk assessment adjustment factor; The new voltage and current calculated in step 1; use and , calculate the logarithmic part and the denominator adjustment part in the risk assessment formula, and finally obtain the new risk level .

[0063] Continuing with the result from step 1, set

[0064]

[0065] Updated risk assessment formula derivation

[0066] Parameter Description: : Updated risk assessment results; : Weight factor of new and old risk assessment results; : Risk level of new coupler; : Old risk assessment results.

[0067] use , combined with the original risk assessment results , calculate new risk assessment results.

[0068] Assumptions ,

[0069] Specifically, if Figure 6 As shown in FIG. 1 , the steps for obtaining the risk level prediction result are as follows: S311: Based on the updated risk assessment results, simulate the state of the coupler in the future time period, combine the operating conditions and environmental factors of the coupler, simulate the state changes in the future time period, and use the formula: ; Get the future state simulation results, where represents the risk assessment value in the future time period, is the current risk factor, Is factor The duration to the predicted time, is the decay constant, and is the adjustment parameter for time effect, is the sensitivity to environmental factors, is the rate of environmental change, It’s environmental factors The duration to the predicted time, is the total length of the forecast period; S312: Analyze the potential risk level using the future state simulation results, evaluate the risk level under differentiated operating conditions, and generate the potential risk level using the formula: ; in, Indicates the potential risk level, is the risk assessment value for the future time period, and is the adjustment parameter, is the historical risk assessment value; S313: Predicting maintenance requirements of the coupler based on the potential risk level and historical maintenance data of the coupler to obtain a risk level prediction result.

[0070] The risk assessment value formula for the future time period is:

[0071] : Current risk factors, obtained from historical data or risk databases; :factor The duration until the predicted time, calculated based on the difference between the current date and the event's predicted date; : Attenuation constant, obtained through historical trend analysis; : Adjustment parameters of time influence, set according to empirical data; : Sensitivity to environmental factors, provided by the environmental monitoring system; : The rate of environmental change, estimated through environmental change trend data; : Environmental factors The duration to the predicted time is also calculated based on the difference between the current date and the event predicted date; : The total duration of the forecast period, which is preset or determined according to the specific project cycle; :Time adjustment parameters for environmental factors are also set based on empirical data.

[0072] Assume there are 2 risk factors and 1 environmental factor:

[0073]

[0074]

[0075]

[0076] calculate:

[0077]

[0078] Potential risk level formula:

[0079] : The risk assessment value calculated previously; : Obtained through calibration of risk models and optimized based on historical data; : The maximum risk assessment value recorded in history, obtained from the risk record database.

[0080] set up And use the previous Result; calculate:

[0081] Specifically, if Figure 7 As shown, the specific steps for obtaining the abnormal signal recognition result are: S411: Based on the risk level prediction results, monitor the operating status of the coupler and continuously monitor the working status of the circuit board through the signal quality detection tool, using the formula: ; Calculate the signal state at each moment and generate a summary signal state, where To summarize the signal status, Representative signal The weight of represents the state of signal i at time t, represents the signal attenuation coefficient, represents the time increment, represents the phase adjustment of the signal, Represents the total number of monitored signals; S412: Record and analyze board signal quality based on summary signal status, using the formula: ; The signal status is processed and summarized, adjusted by threshold and adjustment factor, and the signal quality index is calculated by referring to the signal variance adjustment coefficient, where: represents the signal quality index, To summarize the signal status, represents the gain parameter of the signal, represents the threshold of the signal, Represents the standard deviation of the signal state; S413: Based on the signal quality index, by identifying abnormal changes in the signal, an abnormal signal identification result is obtained, and the judgment formula is used: ; According to the ratio of the signal quality index to the adjustment factor and the set judgment threshold, it is judged whether the signal is abnormal and the abnormal signal recognition result is generated, where: Represents the abnormal signal recognition result, is the signal quality index, represents the adjustment factor of the signal quality, Represents the decision threshold.

[0082] The calculation formula is:

[0083] : Signal weight, indicating the signal The importance of can be obtained through historical data analysis or system configuration; : At time Signal readings are obtained directly from monitoring devices or sensors; : Attenuation coefficient, which describes how quickly a signal decays over time and is based on experimental data or previous research settings; : Time increment, that is, the current time The difference from the last signal measurement time is calculated as ; : Phase adjustment, used to correct the phase error of the signal, determined according to the calibration data.

[0084] Assume there are two signal inputs and set the parameters as follows: , , , , , calculate : , .

[0085] Signal Quality Index The calculation formula is:

[0086] : Gain parameter of each signal, reflecting the contribution of each signal to the total quality index, which can be determined by system analysis or configuration; : The obtained summary signal status; : Preset threshold, used to adjust the signal status baseline, preset by the coupler or determined by experience; : Signal variance, which describes the degree of signal fluctuation and is measured based on historical data.

[0087] Continue with the previous example and assume the following parameters: , , , calculate .

[0088] Abnormal signal identification results The judgment formula is:

[0089] : Signal quality index, representing the comprehensive signal quality; : Decision threshold, used to distinguish normal from abnormal signal conditions. This value is based on the performance requirements of the coupler or is derived by analyzing historical data, and is designed to optimally distinguish between normal and abnormal conditions.

[0090] Assumptions , set the threshold -2, Comparison operations: Check if greater than ,if Greater than , the signal is considered normal; if Less than or equal to is considered abnormal.

[0091] Determine the signal status: According to the comparison result, judge the signal status. If , , , it is considered normal.

[0092] Coupler health status monitoring system, the system includes: The signal integrity detection module performs detailed inspection of electrical connections and continuity verification of signal paths based on the historical performance data of the coupler. It generates initial health status indicators by measuring voltage and current deviations in the path and comparing them with the set standard parameters. The risk dynamic adjustment module uses the initial health status indicators to adjust the current and voltage set values ​​on the circuit board according to environmental changes and the real-time operating conditions of the coupler, evaluate the risk level changes, and generate dynamic risk ratings; The maintenance strategy prediction module predicts the status in the future time period based on dynamic risk rating, combined with the expected use conditions of the coupler and the predicted environmental factors, records the change trend of key parameters, formulates corresponding maintenance plans, and generates predictive maintenance strategies; The signal quality analysis module deploys a spectrum analyzer based on the predictive maintenance strategy to continuously track the signal quality during the operation of the coupler, capture and analyze signal fluctuations and anomalies in real time, and generate signal anomaly results; The abnormal response decision module analyzes the abnormal signal results, handles them through the set emergency response measures, optimizes and adjusts the response strategy and reduces the risks in the future time period, and generates fault response results.

[0093] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely exemplary illustrations of the present application as defined by the appended claims, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include these modifications and variations.

Claims

1. A method for monitoring the health status of a coupler, characterized in that: The method comprises: Based on the historical performance data of the coupler, the electrical connection integrity is detected, the voltage and current deviations in the signal path are measured, the initial health state of the coupler is predicted through the data in the signal path, and the health state prediction result is generated; Using the health status prediction result, adjusting the risk assessment model, adjusting the current and voltage parameters on the circuit board according to environmental factors and the operating conditions of the coupler, updating the risk level of the coupler in real time, and obtaining an updated risk assessment result; Through the updated risk assessment results, the state of the coupler in the future time period is simulated, and the potential risk level is analyzed by measuring and recording the changes of key parameters during the operation process in combination with the real-time monitoring data, and the maintenance requirements of the coupler are predicted to obtain the risk level prediction results; Based on the risk level prediction results, monitor the operating status of the coupler, record and analyze the circuit board signal quality, use signal quality detection tools to continuously monitor the working status of the circuit board, and obtain abnormal signal identification results by identifying abnormal changes in the signal.

2. The method for monitoring the health status of a coupler according to claim 1, characterized in that: The electrical connection integrity detection method is: Based on the historical performance data of the coupler, collect electrical connection data, extract the electrical connection data from the historical performance records of the coupler, obtain the connection status and maintenance records, and generate connection data details; Based on the connection data details, calculate the standard deviation of the voltage and current of the electrical connection using the formula: ； Evaluate the stability of the connection and generate connection stability parameters, where represents the standard deviation, is the measured value of voltage or current, is the average value, is the sample size, is the weight coefficient, is the balance coefficient, is the adjustment factor; Based on the connection stability parameter, the electrical connection integrity is evaluated, and the connection stability parameter is compared with a preset stability threshold to determine whether the connection is complete or at risk, using the formula: ； Generates electrical connection integrity assessment results, where: Indicates the integrity of the connection, 1 represents completeness, 0 represents risk. is the stability threshold.

3. The method for monitoring the health status of a coupler according to claim 2, characterized in that: The steps for obtaining the health status prediction result are specifically as follows: Based on the electrical connection integrity assessment result, measure the voltage and current in the signal path, collect real-time voltage and current data from the signal path of the coupler, and generate signal path parameters; Based on the signal path parameters, a health status prediction model is established, and a nonlinear model is applied to calculate the index of signal abnormality to obtain the signal health index, using the formula: ； in, Represents the signal health indicator, is the measured voltage value, is the average value of the normal voltage range, is the measured current value, is the average value of the normal current range, is the sample size, and is the index, is the weight coefficient; The signal health index is compared with the preset health standard, and the judgment formula is adopted: ； The initial health state of the coupler is determined based on the comparison results, and a health state prediction result is generated, where represents the health status prediction result, is a signal health indicator, is the health threshold.

4. The method for monitoring the health status of a coupler according to claim 3, characterized in that: The steps for obtaining the risk assessment model are specifically as follows: Analyze the health status prediction results, evaluate the current equipment status, and generate equipment status evaluation results, Based on the equipment status evaluation results, according to environmental factors and the operating conditions of the coupler, the influence of multiple factors on the coupler performance is analyzed, and the current and voltage parameters in the model are adjusted using the formula: ； ； Get the parameter adjustment results, where and Represent the adjusted voltage and current respectively, and are the original voltage and current, and is the adjustment factor, Indicates the influence of environmental factors. Indicates the influence of operating conditions, and is the steepness parameter of the response curve, is the current time, is the time delay parameter; Based on the parameter adjustment result, the risk level of the coupler is updated in real time, and the risk level of the coupler is recalculated using the adjusted current and voltage parameters, using the formula: ； Generate real-time risk level update results, where: is the updated risk level, and are the adjusted voltage and current, is the previous risk level, is the sensitivity parameter to be adjusted; According to the real-time risk level update result and the continuous monitoring data, the key parameters of the risk level are adjusted to obtain a risk assessment model.

5. The method for monitoring the health status of a coupler according to claim 4, characterized in that: The steps for obtaining the updated risk assessment results are specifically as follows: Based on the risk assessment model, the current and voltage parameters on the circuit board are adjusted according to the environmental factors and the operating conditions of the coupler, using the formula: ； ； Calculate the adjusted voltage and current to generate the adjusted board parameters, where represents the adjusted voltage, represents the original voltage, represents the adjustment factor for environmental factors, Represents the change in environmental factors, represents the ambient temperature influence coefficient, represents the ambient temperature, represents the adjusted current, represents the original current, represents the adjustment factor for the operating conditions, represents the change in operating conditions, represents the operating temperature influence coefficient, represents the operating temperature; Using the adjusted board parameters, the risk level of the coupler is re-estimated using the formula: ； The risk level of the new coupler is calculated, where Represents the risk level of the new coupler, represents the risk adjustment factor, represents the risk baseline adjustment parameter, represents the sensitivity parameter for risk level adjustment, and Adjusted voltage and current steps respectively; According to the new coupler risk level, the risk assessment structure result of the coupler is updated, using the formula: ； Calculate and generate updated risk assessment results, where: Represents the updated risk assessment results, and Represent the weight factors of the new risk level and the old risk assessment results, respectively. is the risk level of the new coupler, Represents old risk assessment results.

6. The method for monitoring the health status of a coupler according to claim 5, characterized in that: The steps for obtaining the risk level prediction result are specifically as follows: Based on the updated risk assessment results, the state of the coupler in the future time period is simulated, and the state change in the future time period is simulated in combination with the operating conditions and environmental factors of the coupler, using the formula: ； Get the future state simulation results, where represents the risk assessment value in the future time period, is the current risk factor, Is factor The duration to the predicted time, is the decay constant, and is the adjustment parameter for time effect, is the sensitivity to environmental factors, is the rate of environmental change, It’s environmental factors The duration to the predicted time, is the total length of the forecast period; Using the future state simulation results, analyze the potential risk level, evaluate the risk level under differentiated operating conditions, and generate the potential risk level using the formula: ； in, Indicates the potential risk level, is the risk assessment value in the future time period, and is the adjustment parameter, is the historical risk assessment value; According to the potential risk level and the historical maintenance data of the coupler, the maintenance demand of the coupler is predicted to obtain a risk level prediction result.

7. The method for monitoring the health status of a coupler according to claim 6, characterized in that: The steps for obtaining the abnormal signal recognition result are specifically as follows: According to the risk level prediction results, the operating status of the coupler is monitored, and the working status of the circuit board is continuously monitored by the signal quality detection tool, using the formula: ； Calculate the signal state at each moment and generate a summary signal state, where To summarize the signal status, Representative signal The weight of represents the state of signal i at time t, represents the signal attenuation coefficient, represents the time increment, represents the phase adjustment of the signal, Represents the total number of monitored signals; Based on the summarized signal status, record and analyze the board signal quality, using the formula: ； Process the summary signal state, adjust it through thresholds and adjustment factors, refer to the variance adjustment coefficient of the signal, and calculate and generate a signal quality index, where: represents the signal quality index, To summarize the signal status, represents the gain parameter of the signal, represents the threshold of the signal, Represents the standard deviation of the signal state; Based on the signal quality index, by identifying abnormal changes in the signal, the abnormal signal identification result is obtained, and the judgment formula is adopted: ； According to the ratio of the signal quality index to the adjustment factor and the set judgment threshold, it is judged whether the signal is abnormal and an abnormal signal recognition result is generated, wherein: Represents the abnormal signal recognition result, is the signal quality index, represents the adjustment factor of the signal quality, Represents the decision threshold.

8. A coupler health status monitoring system, characterized in that: According to the method for monitoring the health status of a coupler according to any one of claims 1 to 7, the system comprises: The signal integrity detection module performs detailed inspection of electrical connections and continuity verification of signal paths based on the coupler's historical performance data, and generates initial health status indicators by comparing them with the set standard parameters. The risk dynamic adjustment module uses the initial health status indicator to adjust the current and voltage setting values ​​on the circuit board according to environmental changes and the real-time operating conditions of the coupler, evaluates the risk level changes, and generates a dynamic risk rating; The maintenance strategy prediction module predicts the state in the future time period based on the dynamic risk rating, combined with the expected use conditions and predicted environmental factors of the coupler, records the change trend of key parameters, formulates a corresponding maintenance plan, and generates a predictive maintenance strategy; The signal quality analysis module deploys a spectrum analyzer according to the predictive maintenance strategy, continuously tracks the signal quality during the operation of the coupler, captures and analyzes signal fluctuations and anomalies in real time, and generates signal anomaly results; The abnormal response decision module analyzes the abnormal signal results, processes them through the set emergency response measures, optimizes and adjusts the response strategy and reduces the risks in the future time period, and generates fault response results.

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