A wireless cable temperature measurement system and method thereof

Abstract

The present invention belongs to the technical field of power system monitoring, and is specifically a wireless cable temperature measurement system and method thereof, wherein the system includes an operation information acquisition module, a layout planning analysis module, a data standardization module, a change trend analysis module, an early warning threshold adjustment module, and a fault location analysis module. In the present invention, by analyzing the cable operation data and environmental information, considering the coverage, data transmission delay and signal attenuation, optimizing the layout of the temperature sensor, enhancing the response speed and data accuracy of the temperature sensor network, formatting and processing the temperature data and performing time series analysis, evaluating the temperature change trend, realizing the identification of abnormal temperature risks at an early stage and increasing the accuracy of fault prediction, adjusting the cable temperature risk monitoring threshold in combination with the cable specifications and meteorological information, improving the timeliness and effectiveness of risk management, improving the fault response speed and system stability, reducing maintenance costs, and improving the reliability and safety of the power grid.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system monitoring, and in particular, relates to a wireless cable temperature measurement system and method thereof. Background Art

[0002] The field of power system monitoring technology aims to monitor and analyze key equipment and structures in the process of power transmission and distribution in real time, including sensor application, data acquisition, real-time data processing, and communication technology. By capturing multiple parameters in the power grid in real time, including current, voltage, frequency, and temperature, problems in the power grid can be discovered and intervened in the early stage to prevent failures. Combined with predictive maintenance and automated control, the operating efficiency and reliability of the power grid can be improved. By integrating analytical tools and machine learning algorithms, an in-depth understanding and optimization of the power grid status can be achieved to ensure the stability and security of power supply.

[0003] Among them, the wireless cable temperature measurement system is used to monitor the temperature of cables in the power system. It uses sensors deployed at key locations of the cables to capture temperature data in real time, and transmits the data to the central monitoring system through wireless technology to prevent failures caused by excessive cable temperature, including aging of insulation materials and cable short circuits, and protect the stable operation of the power system. By real-time monitoring of the temperature of the cables, it helps operation and maintenance personnel take timely measures to optimize power transmission efficiency, reduce maintenance costs, and improve the reliability and safety of the power grid.

[0004] Traditional wireless cable temperature measurement systems are inaccurate in real-time data processing and fault prediction, lack dynamic adjustment capabilities in data integration and analysis, resulting in insufficient data processing speed and accuracy, lack of flexibility in sensor layout and risk threshold adjustment, and cannot be adjusted according to the actual environment and operating status, resulting in inaccurate monitoring data and transmission delays, affecting the stability and safety of power grid operation, resulting in monitoring blind spots, and abnormal cable heating cannot be discovered in time, causing cable failures and safety accidents. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a wireless cable temperature measurement system and method.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] A wireless cable temperature measurement system comprises:

[0008] The operation information acquisition module collects the current and voltage data of the cable in real time based on the cable line location information, and records the environmental temperature and humidity data, and generates the cable status and environmental data in combination with the corresponding time information;

[0009] The layout planning analysis module adjusts the layout planning of the temperature sensor based on the cable status and environmental data, taking into account the coverage, data transmission delay and signal attenuation, and generates a sensor network layout;

[0010] The data standardization module collects temperature data in real time using the temperature sensor network based on the sensor network layout, formats the data, and generates temperature data processing results;

[0011] The change trend analysis module uses the temperature data processing results to perform time series analysis on the temperature data, evaluate the temperature change trends of multiple locations, identify the relationship between temperature changes and real-time voltage and current data, and generate temperature trend evaluation data;

[0012] The early warning threshold adjustment module predicts the remaining life of the cable in real time based on the temperature trend assessment data, adjusts the cable temperature risk monitoring threshold parameters in combination with real-time meteorological information, and generates temperature risk threshold parameters;

[0013] The fault location analysis module identifies the risk temperature location based on the temperature risk threshold parameter and in combination with the real-time temperature data, sends warning information to the management personnel, and generates cable temperature measurement information.

[0014] The following is a further optimization of the above technical solution by the present invention:

[0015] The cable status and environmental data include current and voltage measurement values, environmental temperature and humidity information, and collection time information. The sensor network layout includes sensor location coordinates, signal attenuation estimation data, and data transmission delay analysis results. The temperature data processing results include temperature data monitoring records, time-serialized temperature records, and data formatting results. The temperature trend assessment data includes target measuring point temperature trend graphs, temperature and voltage relationship analysis results, and temperature and current relationship analysis results. The temperature risk threshold parameters include temperature threshold adjustment records, cable remaining life prediction results, and real-time meteorological information. The cable temperature measurement information includes fault point coordinates, fault point status information, and early warning information content.

[0016] Further optimization: the operation information collection module includes:

[0017] The voltage and current recording submodule collects and records the current and voltage data of the cable in real time based on the cable line location information, and generates real-time current and voltage data;

[0018] The environmental data acquisition submodule collects and records the environmental temperature and humidity data under the operation state of the cable in real time based on the real-time current and voltage data, and generates environmental temperature and humidity records;

[0019] The time information recording submodule adds a time stamp to the collected voltage and current data and the environmental temperature and humidity information based on the environmental temperature and humidity records, standardizes and formats the data, and generates cable status and environmental data.

[0020] Further optimization: The layout planning analysis module includes:

[0021] The signal loss evaluation submodule calculates the signal attenuation of the temperature sensor at multiple locations based on the cable status and environmental data, analyzes the signal loss value in data transmission, and generates a signal attenuation analysis result;

[0022] The data delay calculation submodule calculates the delay time of the temperature sensor signal transmission at various distances based on the signal attenuation analysis result, and generates data transmission delay information;

[0023] The layout adjustment submodule adjusts the location and communication link of the temperature sensor based on the data transmission delay information and takes into account the coverage and communication efficiency to generate the sensor network layout.

[0024] Further optimization: The data standardization module includes:

[0025] The real-time data acquisition submodule uses the temperature sensor network based on the sensor network layout to collect and record temperature data of multiple locations in real time and generate a real-time temperature data set;

[0026] The data synchronization submodule performs data synchronization and time series standardization on the collected temperature data based on the real-time temperature data set, optimizes the consistency and integrity of the data sequence, and generates a synchronized temperature data set;

[0027] The data formatting submodule formats the collected temperature data based on the synchronized temperature data set to generate a temperature data processing result.

[0028] Further optimization: The change trend analysis module includes:

[0029] The cable temperature analysis submodule performs time series analysis on the temperature data at multiple cable line locations based on the temperature data processing results, identifies the temperature change trend, and generates multi-point temperature analysis results;

[0030] The data correlation analysis submodule compares and analyzes the temperature change data and the real-time voltage and current data based on the multi-point temperature analysis results, evaluates the correlation between the current, voltage and temperature changes, and generates correlation evaluation data;

[0031] The operation risk assessment submodule evaluates the risk of temperature change trend to cable operation based on the correlation assessment data, combined with real-time temperature data and cable operation data, and generates temperature trend assessment data.

[0032] Further optimization: The warning threshold adjustment module includes:

[0033] The cable life assessment submodule predicts the remaining life of the cable based on the temperature trend assessment data, combined with the design and manufacturing parameters and usage of the cable, and generates a cable life prediction result;

[0034] The meteorological condition evaluation submodule evaluates the impact of meteorological conditions on cable performance, including temperature and humidity, based on the cable life prediction result and real-time meteorological data, and generates meteorological impact data;

[0035] The threshold adjustment submodule uses a fuzzy logic algorithm based on the meteorological impact data, considers the cable status and environmental conditions, calculates and adjusts the risk threshold of cable temperature monitoring, and generates a temperature risk threshold parameter.

[0036] Further optimization: The fuzzy logic algorithm, according to the formula:

[0037]

[0038] Calculate the temperature risk threshold parameter, where, is the adjusted cable temperature risk threshold parameter, is the weight factor, is the influence coefficient of ambient temperature, is the influence coefficient of ambient humidity, is the influence coefficient of the current cable load, is the influence coefficient of the predicted weather conditions, is the ambient temperature parameter, is the ambient humidity parameter, is the current load parameter of the cable, are the predicted weather condition parameters, is the index variable, is the total number of environmental factors involved in the calculation.

[0039] Further optimization: The fault location analysis module includes:

[0040] The temperature data analysis submodule analyzes the real-time temperature monitoring data of multiple locations of the cable based on the temperature risk threshold parameter, records the sensor locations that exceed the risk threshold, and generates temperature anomaly nodes;

[0041] The fault point location submodule identifies the risk levels of multiple temperature abnormality locations based on the temperature abnormality nodes, analyzes and records the location information of the abnormal points, and generates fault location information;

[0042] The early warning information sending submodule matches the early warning information content for multiple risk locations based on the fault location information, including the location, temperature and time information of the fault, and sends it to the management personnel to generate cable temperature measurement information.

[0043] The present invention also provides a wireless cable temperature measurement method, which is performed based on the above wireless cable temperature measurement system and includes the following steps:

[0044] S1: Based on the cable line location information, the current and voltage data of the cable and the temperature and humidity data of the environment are collected in real time, and the cable and environmental monitoring data are generated by combining the time information;

[0045] S2: Based on the cable and environmental monitoring data, considering the coverage of the sensor, data transmission delay and signal attenuation, perform layout planning of the temperature sensor and generate a network layout calculation result;

[0046] S3: Based on the network layout calculation result, using the temperature sensor network to collect temperature data in real time, and performing data formatting processing to generate standardized temperature data;

[0047] S4: Based on the standardized temperature data, evaluate the temperature change trend of multiple locations through time series analysis, identify the relationship between temperature change and real-time voltage and current data, and generate cable operation related data;

[0048] S5: Based on the cable operation related data, the remaining life of the cable is predicted in real time, and the cable temperature risk monitoring threshold parameters are adjusted in combination with real-time meteorological information, the risk temperature location is identified, and early warning information is sent to management personnel to generate cable temperature measurement information.

[0049] The present invention adopts the above technical solution and has the following beneficial effects:

[0050] The present invention analyzes cable operation data and environmental information, considers coverage, data transmission delay and signal attenuation, optimizes the layout of temperature sensors, enhances the response speed and data accuracy of the temperature sensor network, formats and processes temperature data and performs time series analysis, evaluates temperature change trends, realizes early identification of abnormal temperature risks and increases the accuracy of fault prediction, adjusts the cable temperature risk monitoring threshold in combination with cable specifications and meteorological information, improves the timeliness and effectiveness of risk management, improves fault response speed and system stability, reduces maintenance costs, and improves the reliability and safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a system flow chart of an embodiment of the present invention;

[0052] Figure 2 A schematic diagram of a system framework of an embodiment of the present invention;

[0053] Figure 3 This is a flow chart of running the information collection module in an embodiment of the present invention;

[0054] Figure 4 It is a flow chart of a layout planning and analysis module in an embodiment of the present invention;

[0055] Figure 5 This is a flow chart of a data standardization module in an embodiment of the present invention;

[0056] Figure 6 is a flow chart of a change trend analysis module in an embodiment of the present invention;

[0057] Figure 7 This is a flow chart of the warning threshold adjustment module in an embodiment of the present invention;

[0058] Figure 8 This is a flow chart of a fault location analysis module in an embodiment of the present invention;

[0059] Fig. 9 Schematic diagram of the method steps in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] See also Figure 1 to Figure 2 , a wireless cable temperature measurement system comprises:

[0061] The operation information acquisition module collects the current and voltage data of the cable in real time based on the cable line location information, and records the environmental temperature and humidity data, and generates the cable status and environmental data in combination with the corresponding time information;

[0062] The layout planning analysis module adjusts the layout planning of the temperature sensors and generates the sensor network layout based on the cable status and environmental data, taking into account the coverage, data transmission delay and signal attenuation;

[0063] The data standardization module is based on the sensor network layout, uses the temperature sensor network to collect temperature data in real time, formats the data, and generates temperature data processing results;

[0064] The change trend analysis module uses the temperature data processing results to perform time series analysis on the temperature data, evaluate the temperature change trends at multiple locations, identify the relationship between temperature changes and real-time voltage and current data, and generate temperature trend evaluation data;

[0065] The warning threshold adjustment module predicts the remaining life of the cable in real time based on the temperature trend assessment data, adjusts the cable temperature risk monitoring threshold parameters in combination with real-time meteorological information, and generates temperature risk threshold parameters;

[0066] The fault location analysis module identifies the risk temperature location based on the temperature risk threshold parameters and combines the real-time temperature data, sends warning information to the management personnel, and generates cable temperature measurement information.

[0067] The cable status and environmental data include current and voltage measurement values, ambient temperature and humidity information, and collection time information. The sensor network layout includes sensor location coordinates, signal attenuation estimation data, and data transmission delay analysis results. The temperature data processing results include temperature data monitoring records, time-serialized temperature records, and data formatting results. The temperature trend assessment data includes the temperature trend chart of the target measuring point, the temperature and voltage relationship analysis results, and the temperature and current relationship analysis results. The temperature risk threshold parameters include temperature threshold adjustment records, cable remaining life prediction results, and real-time meteorological information. The cable temperature measurement information includes the fault point coordinates, fault point status information, and early warning information content.

[0068] See also Figure 2 and Figure 3 , the operation information collection module includes:

[0069] The voltage and current recording submodule collects and records the current and voltage data of the cable in real time based on the cable line location information. The specific process of generating real-time current and voltage data is as follows:

[0070] In the voltage and current recording submodule, based on the cable line location information, sensors are deployed at key nodes to continuously monitor current and voltage, capture short-term fluctuations and long-term changes, and consider environmental factors, including the influence of temperature and interfering electromagnetic fields. The current and voltage real-time monitoring formula is adopted through algorithm correction. The formula is: ,in, represents the current data at time t, represents the voltage data at time t, is the linear relationship coefficient between current and voltage, To account for equipment deviations, the thresholds are dynamically adjusted taking into account the accuracy and practicality of real-time data to generate real-time data of current and voltage.

[0071] The environmental data acquisition submodule collects and records the ambient temperature and humidity data of the cable in real time based on the real-time data of current and voltage. The specific process of generating the ambient temperature and humidity record is as follows:

[0072] In the environmental data acquisition submodule, based on the real-time data of current and voltage, the temperature and humidity are monitored in real time through environmental monitoring equipment. The average value and variability analysis are combined with the anomaly detection algorithm to identify and correct the deviations and errors in the environmental data. The environmental data integration formula is applied, which is: ,in, Represents the comprehensive environmental index, is the temperature value at time t, is the weight coefficient, considering the interaction between temperature and humidity, is the humidity value at time t, It is a conversion factor that combines the current and voltage data with environmental factors to generate environmental temperature and humidity records.

[0073] The time information recording submodule adds timestamps to the collected voltage and current data and environmental temperature and humidity information based on the environmental temperature and humidity records, standardizes and formats the data, and generates the cable status and environmental data in the following specific processes;

[0074] In the time information recording submodule, based on the environmental temperature and humidity records, time synchronization technology is used to add timestamps to the data, and the data is preprocessed, including missing value processing and noise filtering, to ensure the consistency and reliability of the data and eliminate the deviation of differentiated source data. The formula is: ,in, For the processed data, represents the original data, represents the average value of the data, Represents standard deviation, generating cable condition and environmental data.

[0075] See also Figure 2 and Figure 4 , the layout planning analysis module includes:

[0076] The signal loss assessment submodule calculates the signal attenuation of the temperature sensor at multiple locations based on the cable status and environmental data, analyzes the signal loss value in data transmission, and generates the signal attenuation analysis results in the following process:

[0077] In the signal loss assessment submodule, based on the cable status and environmental data, sensors are used to collect signal strength data, identify signal attenuation caused by environmental factors, including temperature fluctuations and electromagnetic interference, and analyze the data using an attenuation model. The signal attenuation formula is: ,in, Indicates the signal attenuation value. Represents the transmission distance, is the basic attenuation coefficient, The distance influence index, is the environmental sensitivity coefficient, Represents the environmental difficulty index, analyzes the attenuation behavior of the signal in different environments, and generates signal attenuation analysis results.

[0078] The data delay calculation submodule calculates the delay time of the temperature sensor signal transmission at various distances based on the signal attenuation analysis results, and generates the data transmission delay information in the following steps:

[0079] In the data delay calculation submodule, based on the signal attenuation analysis results, the time delay prediction model is used to evaluate the signal transmission delay under differentiated conditions. The data transmission delay formula is: ,in, Indicates the delay time of signal transmission. is the transmission rate coefficient, is the transmission distance, is the influence coefficient of signal attenuation on delay, The signal attenuation value is calculated, and the transmission delay of the signal under various distances and conditions is calculated to generate data transmission delay information.

[0080] The layout adjustment submodule adjusts the location and communication link of the temperature sensor based on the data transmission delay information, considering the coverage and communication efficiency, and generates the sensor network layout process as follows:

[0081] In the layout adjustment submodule, the spatial configuration of the sensor network is adjusted based on the data transmission delay information to optimize coverage and efficiency. The sensor position adjustment formula is: ,in, represents the adjusted sensor position, To adjust the sensitivity coefficient, To meet the communication needs of the target area, is the communication link optimization coefficient, The efficiency value of the current sensor layout is used to adjust the sensor positions to optimize the communication efficiency and generate the sensor network layout.

[0082] See also Figure 2 and Figure 5 , the data standardization module includes:

[0083] The real-time data acquisition submodule is based on the sensor network layout and uses the temperature sensor network to collect and record the temperature data of multiple locations in real time. The specific process of generating the real-time temperature data set is as follows;

[0084] In the real-time data acquisition submodule, based on the sensor network layout, a temperature sensor network is deployed to cover the key monitoring areas, collect temperature data and upload it to the central monitoring system. The real-time temperature monitoring formula is used to estimate the temperature value to ensure the accuracy and real-time nature of the data. The formula is: ,in, Indicates the real-time temperature obtained from the sensor. Calibrate parameters for the device, is the sensor response coefficient, considering the sensitivity of the sensor response to temperature changes, Represents the real-time collected sensor data, reflecting the real-time changes in temperature, and also through the parameters and The adjustment matches the changes in differentiated environmental conditions and generates a real-time temperature dataset.

[0085] The data synchronization submodule performs data synchronization and time series standardization on the collected temperature data based on the real-time temperature data set, optimizes the consistency and integrity of the data sequence, and generates the synchronized temperature data set in the following process:

[0086] In the data synchronization submodule, based on the real-time temperature data set, the data is synchronized and standardized to ensure the consistency of the time series in the entire monitoring network. The time series synchronization formula is used to adjust the data according to the actual timestamp of data acquisition to reduce the time error introduced by transmission delay and data processing. The synchronization formula is: ,in, represents the original temperature time series, Represents the synchronized temperature data, ensures the synchronization and accuracy of the data, optimizes the consistency and integrity of the data sequence, and generates a synchronized temperature data set.

[0087] The data formatting submodule formats the collected temperature data based on the synchronized temperature data set, and the specific process of generating the temperature data processing result is as follows;

[0088] In the data formatting submodule, the collected temperature data is formatted based on the synchronized temperature data set. The formatting process uses the rounding method to normalize the temperature value to two decimal places. The formatting formula is: ,in, Represents the temperature data after synchronization. To format the data, ensure the usability and accuracy of the data, reduce errors during data analysis and model training, and generate temperature data processing results.

[0089] See also Figure 2 and Figure 6 , the change trend analysis module includes:

[0090] The cable temperature analysis submodule performs time series analysis on the temperature data at multiple cable line locations based on the temperature data processing results, identifies the temperature change trend, and generates multi-point temperature analysis results. The specific process is as follows:

[0091] In the cable temperature analysis submodule, based on the temperature data processing results, the temperature change trend of different cable line locations is identified through time series analysis. The time series analysis model is used to consider seasonal factors and mutation point analysis to predict temperature fluctuations and determine potential abnormal points. The time series analysis formula is: v,t, where represents the temperature time series, is the intercept of the trend line, is the slope of the trend line, indicating the temperature trend over time, v,t is the random error term at time t, reflecting the influence of seasonality and various irregular factors. Represent time, capture and understand the dynamic changes of temperature on each cable line, and generate multi-point temperature analysis results.

[0092] The data correlation analysis submodule compares and analyzes the temperature change data with the real-time voltage and current data based on the multi-point temperature analysis results, evaluates the correlation between current, voltage and temperature changes, and generates correlation evaluation data in the following process:

[0093] In the data correlation analysis submodule, based on the multi-point temperature analysis results, the temperature change data is compared and correlated with the real-time voltage and current data. The multivariate statistical model is used to analyze the interaction and correlation between temperature, current and voltage. The correlation analysis model formula is: ,in, Represents the correlation evaluation index between current, voltage and temperature, , and Represents voltage, current and temperature data respectively, , , and is the model coefficient, which describes the contribution of each variable to the correlation, evaluates the correlation between current, voltage and temperature change, and generates correlation evaluation data.

[0094] The operation risk assessment submodule evaluates the risk of temperature change trend to cable operation based on the correlation assessment data, combined with real-time temperature data and cable operation data. The specific process of generating temperature trend assessment data is as follows:

[0095] In the operation risk assessment submodule, based on the correlation assessment data, the potential risk of temperature change trend to cable operation is evaluated in combination with real-time temperature data and cable operation data. The risk assessment model is used to calculate the impact of temperature fluctuations and predict the risk level in cable operation. The risk assessment formula is: ,in, Represents the risk assessment value of cable operation, is the correlation index obtained from the data correlation analysis module, is the highest temperature recorded, , and It is a model coefficient used to quantify the impact of risk factors, evaluate and prevent cable operation risks caused by temperature changes, and generate temperature trend assessment data.

[0096] See also Figure 2and Figure 7 , the warning threshold adjustment module includes:

[0097] The cable life assessment submodule predicts the remaining life of the cable based on the temperature trend assessment data, combined with the design and manufacturing parameters and usage of the cable. The specific process of generating the cable life prediction result is as follows;

[0098] In the cable life assessment submodule, based on the temperature trend assessment data, combined with the design and manufacturing parameters of the cable and the actual usage, the cable life prediction model is used to estimate the remaining life of the cable. By analyzing the relationship between historical temperature data and cable loss, a life prediction model is established to calculate the attenuation of the cable due to temperature changes. The life prediction model formula is: ,in, represents the predicted remaining life of the cable, is the initial expected life of the cable, is the coefficient of temperature effect on life, is the temperature at time t, is the function of the effect of temperature on cable life, Represents small time increments, predicts the actual remaining life of the cable, and generates cable life prediction results.

[0099] The meteorological condition assessment submodule evaluates the impact of meteorological conditions on cable performance, including temperature and humidity, based on the cable life prediction results and real-time meteorological data. The specific process of generating meteorological impact data is as follows;

[0100] In the meteorological condition assessment submodule, based on the cable life prediction results and combined with real-time meteorological data, the impact of meteorological conditions on cable performance is evaluated, including temperature and humidity. Through a multi-factor impact analysis model, the composite effect of meteorological conditions is considered to evaluate the impact on cable performance. The meteorological impact assessment model formula is: ,in, Indicates the comprehensive impact of meteorological conditions on cable performance. is the weight of different meteorological factors, The actual observed values ​​of each factor are used to quantify the impact of meteorological conditions on cable performance and generate meteorological impact data.

[0101] The threshold adjustment submodule uses fuzzy logic algorithm based on meteorological impact data, considers cable status and environmental conditions, calculates and adjusts the risk threshold of cable temperature monitoring, and generates the temperature risk threshold parameter process as follows;

[0102] In the threshold adjustment submodule, based on meteorological impact data, a fuzzy logic algorithm is used to consider the current state of the cable and the surrounding environmental conditions to calculate and adjust the risk threshold of cable temperature monitoring. The fuzzy logic algorithm uses fuzzy rules and membership functions to determine the optimal threshold, improve the adaptability and responsiveness of the system, dynamically adjust the threshold to match complex and changeable environmental conditions, and generate temperature risk threshold parameters.

[0103] Fuzzy logic algorithm, according to the formula:

[0104]

[0105] Calculate the temperature risk threshold parameter, where, is the adjusted cable temperature risk threshold parameter, which is used to indicate the risk level of the overall cable system. is a weighting factor used to adjust the influence of each environmental factor in the overall risk assessment. is the influence coefficient of ambient temperature, which is used to adjust the contribution of ambient temperature to the cable risk threshold. is the influence coefficient of ambient humidity, which is used to adjust the contribution of ambient humidity to the cable risk threshold. is the influence coefficient of the current cable load, which is used to adjust the contribution of the cable load to the cable risk threshold. is the impact coefficient of the predicted weather conditions, which is used to adjust the contribution of weather conditions to the cable risk threshold. It is the ambient temperature parameter, which is used to measure the temperature condition of the current environment. It is the environmental humidity parameter, which is used to measure the humidity condition of the current environment. It is the current load parameter of the cable, which is used to measure the current intensity carried by the cable. It is a parameter of predicted weather conditions, used to measure expected climate conditions. is an index variable, which is used to indicate the sequence number of the environmental factor currently being processed. It is the total number of environmental factors involved in the calculation, used to indicate the total number of environmental factors.

[0106] The specific execution process of the formula is as follows:

[0107] Obtain ambient temperature parameters through environmental monitoring equipment and ambient humidity parameters , according to the power grid monitoring system, using sensor data, the current load parameters of the cable are obtained , obtain the predicted weather condition parameters through the data provided by the meteorological service , the parameters are substituted into the formula to calculate the cable temperature risk threshold , used to warn of abnormal cable temperature risks.

[0108] See also Figure 2 and Figure 8 , the fault location analysis module includes:

[0109] The temperature data analysis submodule analyzes the real-time temperature monitoring data of multiple cable locations based on the temperature risk threshold parameters, records the sensor locations that exceed the risk threshold, and generates the temperature anomaly nodes as follows:

[0110] In the temperature data analysis submodule, based on the temperature risk threshold parameter, the real-time temperature monitoring data collected by each sensor on the cable line is analyzed, and the sensor data exceeding the set risk threshold is determined by using statistical and data analysis techniques. The analysis model formula is: ,in, represents the set of sensor locations that exceed the risk threshold, For real-time monitoring of temperature data, The sensor locations that exceed the safety parameters are recorded as risk thresholds, and temperature anomaly nodes are generated.

[0111] The fault location submodule identifies the risk levels of multiple temperature anomaly locations based on the temperature anomaly nodes, analyzes and records the location information of the anomaly points, and generates the fault location information in the following specific process:

[0112] In the fault point location submodule, based on the temperature anomaly node, the risk level of each abnormal location is analyzed and identified. The risk level is determined using the risk assessment model, taking into account the duration of the anomaly and the temperature exceeding the standard. The risk level formula is: ,in, is the calculated risk level, is the time when the exception occurred, Normal range time, and is the evaluation coefficient, The actual temperature value is used to identify the fault location, provide risk assessment for each fault point, and generate fault location information.

[0113] The early warning information sending submodule matches the early warning information content for multiple risk locations based on the fault location information, including the location, temperature and time information of the fault, and sends it to the management personnel. The specific process of generating cable temperature measurement information is as follows;

[0114] In the early warning information sending submodule, based on the fault location information, early warning information is customized for each identified risk location, including multiple key data such as the fault location, current temperature and time, and data verification and format checking are performed to ensure the accuracy and availability of the information. Early warning information is sent to management personnel and the response status of the early warning information is recorded, and cable temperature measurement information is generated.

[0115] See also Fig. 9A wireless cable temperature measurement method is provided, and the wireless cable temperature measurement method is performed based on the wireless cable temperature measurement system, and comprises the following steps:

[0116] S1: Based on the cable line location information, the current and voltage data of the cable and the temperature and humidity data of the environment are collected in real time, and the cable and environmental monitoring data are generated by combining the time information;

[0117] S2: Based on the cable and environmental monitoring data, the layout of the temperature sensors is planned taking into account the coverage of the sensors, data transmission delay, and signal attenuation, and the network layout calculation results are generated;

[0118] S3: Based on the network layout calculation results, the temperature sensor network is used to collect temperature data in real time, and the data is formatted to generate standardized temperature data;

[0119] S4: Based on the standardized temperature data, the temperature change trend of multiple locations is evaluated through time series analysis, and the relationship between temperature change and real-time voltage and current data is identified to generate cable operation correlation data;

[0120] S5: Based on the cable operation related data, the remaining life of the cable is predicted in real time, and the cable temperature risk monitoring threshold parameters are adjusted in combination with real-time meteorological information. The risk temperature location is identified, and early warning information is sent to management personnel to generate cable temperature measurement information.

[0121] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A wireless cable temperature measurement system, characterized in that: The system comprises: The operation information acquisition module collects the current and voltage data of the cable in real time based on the location information of the cable line, and records the environmental temperature and humidity data, and generates the cable status and environmental data in combination with the corresponding time information; The layout planning analysis module adjusts the layout planning of the temperature sensor based on the cable status and environmental data, taking into account the coverage, data transmission delay and signal attenuation, and generates a sensor network layout; The layout planning analysis module includes: The signal loss evaluation submodule calculates the signal attenuation of the temperature sensor at multiple locations based on the cable status and environmental data, analyzes the signal loss value in data transmission, and generates a signal attenuation analysis result; The data delay calculation submodule calculates the delay time of the temperature sensor signal transmission at various distances based on the signal attenuation analysis result, and generates data transmission delay information; The layout adjustment submodule adjusts the location and communication link of the temperature sensor based on the data transmission delay information and considers the coverage and communication efficiency to generate the sensor network layout; The data standardization module collects temperature data in real time using the temperature sensor network based on the sensor network layout, formats the data, and generates temperature data processing results; The change trend analysis module uses the temperature data processing results to perform time series analysis on the temperature data, evaluate the temperature change trends of multiple locations, identify the relationship between temperature changes and real-time voltage and current data, and generate temperature trend evaluation data; The early warning threshold adjustment module predicts the remaining life of the cable in real time based on the temperature trend assessment data, adjusts the cable temperature risk monitoring threshold parameters in combination with real-time meteorological information, and generates temperature risk threshold parameters; The fault location analysis module identifies the risk temperature location based on the temperature risk threshold parameter and in combination with the real-time temperature data, sends warning information to the management personnel, and generates cable temperature measurement information.

2. The wireless cable temperature measurement system according to claim 1, characterized in that: The cable status and environmental data include current and voltage measurement values, environmental temperature and humidity information, and collection time information; the sensor network layout includes sensor location coordinates, signal attenuation estimation data, and data transmission delay analysis results; the temperature data processing results include temperature data monitoring records, time-serialized temperature records, and data formatting results; the temperature trend assessment data include target measuring point temperature trend graphs, temperature and voltage relationship analysis results, and temperature and current relationship analysis results; the temperature risk threshold parameters include temperature threshold adjustment records, cable remaining life prediction results, and real-time meteorological information; the cable temperature measurement information includes fault point coordinates, fault point status information, and early warning information content.

3. The wireless cable temperature measurement system according to claim 1, characterized in that: The operation information collection module includes: The voltage and current recording submodule collects and records the current and voltage data of the cable in real time based on the cable line location information, and generates real-time current and voltage data; The environmental data acquisition submodule collects and records the environmental temperature and humidity data under the operation state of the cable in real time based on the real-time current and voltage data, and generates environmental temperature and humidity records; The time information recording submodule adds a time stamp to the collected voltage and current data and the environmental temperature and humidity information based on the environmental temperature and humidity records, standardizes and formats the data, and generates cable status and environmental data.

4. The wireless cable temperature measurement system according to claim 1, characterized in that: The data standardization module includes: The real-time data acquisition submodule uses the temperature sensor network based on the sensor network layout to collect and record temperature data of multiple locations in real time and generate a real-time temperature data set; The data synchronization submodule performs data synchronization and time series standardization on the collected temperature data based on the real-time temperature data set, optimizes the consistency and integrity of the data sequence, and generates a synchronized temperature data set; The data formatting submodule formats the collected temperature data based on the synchronized temperature data set to generate a temperature data processing result.

5. The wireless cable temperature measurement system according to claim 1, characterized in that: The change trend analysis module includes: The cable temperature analysis submodule performs time series analysis on the temperature data at multiple cable line locations based on the temperature data processing results, identifies the temperature change trend, and generates multi-point temperature analysis results; The data correlation analysis submodule compares and analyzes the temperature change data and the real-time voltage and current data based on the multi-point temperature analysis results, evaluates the correlation between the current, voltage and temperature changes, and generates correlation evaluation data; The operation risk assessment submodule evaluates the risk of temperature change trend to cable operation based on the correlation assessment data, combined with real-time temperature data and cable operation data, and generates temperature trend assessment data.

6. The wireless cable temperature measurement system according to claim 1, characterized in that: The warning threshold adjustment module includes: The cable life assessment submodule predicts the remaining life of the cable based on the temperature trend assessment data, combined with the design and manufacturing parameters and usage of the cable, and generates a cable life prediction result; The meteorological condition evaluation submodule evaluates the impact of meteorological conditions on cable performance, including temperature and humidity, based on the cable life prediction result and real-time meteorological data, and generates meteorological impact data; The threshold adjustment submodule uses a fuzzy logic algorithm based on the meteorological impact data, considers the cable status and environmental conditions, calculates and adjusts the risk threshold of cable temperature monitoring, and generates a temperature risk threshold parameter.

7. The wireless cable temperature measurement system according to claim 6, characterized in that: The fuzzy logic algorithm is based on the formula: Calculate the temperature risk threshold parameter, where, is the adjusted cable temperature risk threshold parameter, is the weight factor, is the influence coefficient of ambient temperature, is the influence coefficient of ambient humidity, is the influence coefficient of the current cable load, is the influence coefficient of the predicted weather conditions, is the ambient temperature parameter, is the ambient humidity parameter, is the current load parameter of the cable, are the predicted weather condition parameters, is the index variable, is the total number of environmental factors involved in the calculation.

8. The wireless cable temperature measurement system according to claim 1, characterized in that: The fault location analysis module includes: The temperature data analysis submodule analyzes the real-time temperature monitoring data of multiple locations of the cable based on the temperature risk threshold parameter, records the sensor locations that exceed the risk threshold, and generates temperature anomaly nodes; The fault point location submodule identifies the risk levels of multiple temperature abnormality locations based on the temperature abnormality nodes, analyzes and records the location information of the abnormal points, and generates fault location information; The early warning information sending submodule matches the early warning information content for multiple risk locations based on the fault location information, including the location, temperature and time information of the fault, and sends it to the management personnel to generate cable temperature measurement information.

9. A wireless cable temperature measurement method, characterized in that: The wireless cable temperature measurement system according to any one of claims 1 to 8 comprises the following steps: Based on the cable line location information, the cable current and voltage data and the environmental temperature and humidity data are collected in real time, and combined with the time information, the cable and environmental monitoring data are generated; Based on the cable and environmental monitoring data, considering the coverage of the sensor, data transmission delay and signal attenuation, the layout planning of the temperature sensor is performed to generate a network layout calculation result; Based on the network layout calculation results, the temperature data is collected in real time using the temperature sensor network, and the data is formatted to generate standardized temperature data; Based on the standardized temperature data, the temperature change trend of multiple locations is evaluated through time series analysis, and the relationship between the temperature change and the real-time voltage and current data is identified to generate cable operation related data; Based on the cable operation related data, the remaining life of the cable is predicted in real time, and the cable temperature risk monitoring threshold parameters are adjusted in combination with real-time meteorological information to identify the risk temperature location, send early warning information to management personnel, and generate cable temperature measurement information.

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