2837results about "Electric connection testing" patented technology

The invention relates to the technical field of high-voltage connectors, and discloses a high-voltage connector fault prediction method and system based on thermal management, and the method comprises the steps: collecting the temperature distribution data and electric signal transmission characteristic data of a high-voltage connector, and building a thermal-electric coupling network model comprising a temperature node and a signal transmission node; separating and optimizing the transmission characteristic function to obtain a temperature-transmission characteristic mapping relation; gaussian process regression calculation is carried out on the temperature time sequence data to obtain temperature dynamic characteristic statistical characteristics; inputting the statistical characteristics of the dynamic temperature characteristics into a specified time delay thermal management neural network for signal transmission delay prediction to obtain delay prediction characteristic parameters; according to the method, the weighted error value in the transmission feature space is calculated, and the signal transmission delay is dynamically adjusted to obtain the compensated signal transmission delay parameter, so that the accurate prediction of the signal transmission delay is realized, and the accuracy and robustness of the compensation effect are improved.

The invention discloses a copper bar connection state detection method and system, particularly relates to the technical field of copper bar state detection, and is used for solving the problem of poor early recognition of copper bar connection deterioration. According to the method, resistance and temperature rise conditions at the joint of the copper bars are measured synchronously in the load change process, signal denoising is realized in combination with finite difference filtering, and characteristic evolution conditions at the joint are captured; the method comprises the steps of determining an analysis window based on a real-time load change event, constructing a thermoelectric track point set and dividing a load rising and falling period, forming a continuous dynamic thermoelectric response curve, dividing a temperature rising track and a temperature falling track through a temperature change trend, extracting a resistance drift amount and a hysteresis loop area, and identifying a connection degradation trend and a structure fatigue characteristic. And connection state information generated by thermal stress action and thermal cycle asymmetry is obtained during load change, and a detection strategy is adjusted according to an analysis result, so that early degradation identification and intelligent risk grading of the copper bar connection state are carried out, and the sensitivity and accuracy of copper bar detection are improved.

The invention relates to the technical field of electronic equipment detection, and discloses an FPC connector quality detection method and system based on multi-modal fusion, and the method comprises the steps: obtaining an original multi-modal data set containing electrical stress, thermal stress and mechanical stress, and carrying out the filtering and time sequence alignment preprocessing, and obtaining a standardized multi-physical field sequence; constructing a three-dimensional space field intensity distribution diagram according to the sequence, and identifying field intensity anomalies by adopting density clustering so as to accurately position potential defects; learning a time sequence evolution mode based on the multi-moment observation value of the defect position to predict the future diffusion trend of the defect; and integrating the diffusion trend, the real-time field intensity and the environment variable to carry out comprehensive modeling and evaluation, and generating a dynamically updated and final quality detection report. According to the method, root cause diagnosis of connector defects, accurate three-dimensional space fault positioning and accurate prediction of future evolution trends can be realized, and the detection precision and predictability are remarkably improved.

The invention relates to the technical field of mining mechanical equipment, and particularly discloses a mining mechanical equipment anomaly detection system and method. Current signals, voltage signals and vibration signals in the operation process of mining mechanical equipment are obtained; the method comprises the following steps: extracting an equipment operation current-voltage correlation feature vector and a mining mechanical equipment time frequency correlation feature vector, fusing to obtain a mining mechanical equipment anomaly classification feature vector, and obtaining a classification result through a classifier to indicate whether the mining mechanical equipment is abnormal or not, thereby realizing anomaly detection of the mining mechanical equipment.

The invention provides a power cable joint defect detection method and system based on a digital twin model. The method comprises the following steps: acquiring performance parameters, temperature data and ultrasonic parameters of a cable joint; constructing a cable joint multi-field coupling simulation model according to the physical size material parameters of the cable joint; constructing an objective function according to the performance parameters and the temperature data, interacting data of the multi-field coupling simulation model with data under actual operation conditions through the objective function, and updating a pre-constructed cable joint digital twinborn simulation model to obtain a real-time updated cable joint digital twinborn simulation model; and training and testing the radial basis function neural network based on the output data of the cable joint digital twin simulation model updated in real time to obtain a fault diagnosis model of cable joint temperature and ultrasonic data based on deep learning, and detecting the real-time operation state of the cable joint according to the fault diagnosis model. And predicting a potential fault of the cable joint.

The invention relates to the technical field of intelligent power distribution system state monitoring, in particular to a cable connection state online monitoring method for a low-voltage cable branch box, which comprises the following steps of: applying a disturbance excitation signal to a connection node of the cable branch box, and acquiring transient voltage, current and phase response parameters of the node in different excitation periods; establishing a mapping relation between the node electrical characteristics and the connection state; performing dynamic reference calibration on the acquired signals based on a multi-node space-time coupling matrix to form an adaptive judgment reference of electrical coupling between nodes; a connection degradation sensitive index is extracted through feature sequence differential calculation, a connection state quantitative evaluation result is generated, and real-time updating and anomaly recognition are carried out according to the state change trend; according to the method, the problems of misjudgment and delay caused by a monitoring mode depending on indirect parameters such as temperature and current are solved, high environmental adaptability and degradation identification precision are achieved, and the operation safety and monitoring reliability of the low-voltage power distribution system are greatly improved.

This invention presents a method for detecting circuit anomalies in a current transformer. The method is executed by a module integrated into an intelligent electronic device. The process involves a multi-step analysis that starts with comparing the frequency of a detected current signal from the transformer's secondary winding with the frequency of a detected voltage signal from a primary conductor. If the frequency difference exceeds a predetermined threshold, the method advances to assess the magnitude of the detected current signal. If this magnitude falls below another predetermined threshold, the method proceeds to analyze the Total Harmonic Distortion (THD) of the current signal. Depending on whether the THD is above or below a set threshold, the method determines the presence of either an open or a short circuit within the current transformer. This approach provides a reliable and accurate means for identifying circuit anomalies, enhancing the safety of electrical systems.

The invention discloses a high-speed connector plugging life simulation testing machine, and relates to the technical field of life simulation, and the high-speed connector plugging life simulation testing machine comprises an information collection end, a data calculation end, a data judgment end and a data processing end. And the information acquisition end is used for acquiring a contact force value, a temperature value and an acceleration value of a plug board end of the high-speed connector in real time through a sensor in the plugging and unplugging process of the test equipment. According to the invention, in the information acquisition end, the multi-dimensional data of the plugboard end in the plugging process of the high-speed connector is acquired in real time through a sensor, and in the data calculation end, the comprehensive contact force error is comprehensively calculated through the multi-dimensional data, and the control quantity increment of the driving motor is calculated in real time based on the contact force error. The input of the driving motor is adjusted in real time through the control quantity increment, accurate compensation of the contact force value is achieved, the rationality of the test condition is maintained, it is ensured that the test equipment can still maintain high-precision control under the complex working condition, and the reliability of the test result is improved.

The invention relates to the technical field of testing, in particular to electric connector joint testing equipment which comprises a testing table and a digital display control panel, a mounting cavity and a testing cavity are formed in the testing table, and two clamping structures are arranged in the testing cavity. A second electric telescopic rod capable of driving one of the clamping structures to move in the test cavity is arranged in the test table, and an eccentric connecting rod driving mechanism capable of driving the other clamping structure to move in the test cavity in a reciprocating manner is arranged in the mounting cavity; the eccentric connecting rod driving mechanism can simulate the plugging action of an electric connector joint through the transmission of a rotating motor, a speed reducer, a turntable, a connecting rod and a driving shaft; the pressure sensor monitors the plugging force in real time, the vibration motor simulates the vibration working condition, the performance of the electric connector joint in actual use can be tested more comprehensively, the deviation adjusting structure can adjust the position of the driving head end of the driving shaft, tests in different deviation states are simulated, and the accuracy and authenticity of the tests are further improved.

The invention discloses a detection method of a high-speed connector and a related device, and the method comprises the steps: carrying out the plugging motion control of the high-speed connector, injecting a pulse sequence carrying a displacement mark into a differential signal pair in the process, and obtaining the initial reflection data containing a plugging displacement-time index; space-time boundary information of a gap coupling section, an initial touch deformation section and a full-insertion steady-state section is analyzed and determined in a segmented mode through reflection characteristics. And generating a mutual excitation pulse pair in the initial touch deformation section, and executing differential sampling processing by using a thermal-electric coupling effect to obtain a thermally induced group delay sequence and a geometrically induced impedance differential sequence. A dynamic zero-reflection anchor point is generated based on double-sequence fusion, and real-time reference plane migration processing is realized to obtain a calibration impedance curve. And repeating the processes of insertion and extraction, generating an elastic difference curve through displacement-time coaxial difference processing of a bidirectional calibration impedance curve, and positioning an irreversible abnormal section of the impedance. According to the method, the plugging transient impedance change can be continuously monitored, and the early failure risk of the high-speed connector can be evaluated in time.

The invention relates to the technical field of electric connector testing, in particular to an intelligent testing method and system for the connection state of an electric connector, and the method comprises the steps: obtaining the resistance values and temperature parameters of the electric connector and a circuit at all moments in a vibration testing process; acquiring the resistance coefficient of each moment according to the difference between the resistance value of each moment and the initial resistance value; obtaining a circuit state coefficient of each moment according to the change of the resistance value of each moment and the adjacent moment, the change of the resistance coefficient and the difference of the temperature data, and marking the corresponding moment; obtaining a change stability parameter of each marked moment; screening all marked moments to obtain stable moments; and obtaining an overall fluctuation index of the circuit according to the number of all the stable moments and the distribution condition of the change stable parameters, and testing the connection state of the electric connector. The invention aims to improve the accuracy of the connection state test of the electric connector.

The invention discloses an energy storage equipment lithium ion battery connection fault diagnosis method, relates to the technical field of energy storage equipment lithium ion battery management systems, and is used for solving the problem of battery connection faults. According to the method, battery voltage and current data are obtained in real time. And a dynamic multi-modal filtering mechanism is designed, and different filtering methods are adopted for different environmental noise characteristics. And the noise is further accurately identified and filtered by calculating the ambient temperature and humidity and the spectrum characteristics in the battery signal. A data forgetting mechanism is introduced, a self-adaptive window optimization mechanism is adopted, the window length is automatically adjusted according to the voltage fluctuation real-time change rate, the battery state change is quickly responded, and the diagnosis sensitivity and adaptability are improved by dynamically adjusting the time window and the data weight through a weighted updating mechanism. And based on correlation coefficient analysis, the battery connection state is judged, and accurate fault diagnosis is realized. According to the method, the safety and the stability of the energy storage equipment are effectively improved, and the method has high practical application value.

The invention provides an electric energy meter correction electric quantity calculation method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining metering historical data of a target electric energy meter; analyzing the metering historical data by adopting a phase angle feature portrait algorithm, and identifying a wiring error type corresponding to the target electric energy meter; determining a corresponding correction transformation matrix based on the wiring error type; and calculating the corrected electric quantity of the target electric energy meter based on the corrected transformation matrix. The invention provides a novel calculation scheme for the corrected electric quantity of the electric energy meter, the corrected electric quantity of the electric energy meter is calculated more accurately by adopting an advanced algorithm and a mathematical model, the interference of human factors is reduced, various complex wiring error conditions can be adapted, and the calculation efficiency is improved. Therefore, the accuracy and reliability of the correction electric quantity calculation method of the electric energy meter of the power system are improved.

The invention discloses a terminal crimping quality detection method and system, and relates to the technical field of terminal crimping image detection. Comprising the steps that space coordinates of a standard datum point in a crimping image are determined, and the standard datum point is used for representing the space coordinate position, meeting the standard terminal crimping inspection standard, between a corresponding wire and a terminal notch. According to the method, the crimping samples which do not meet the standard terminal crimping inspection standard are rapidly removed in a spatial positioning mode, and then the crimping sample thermal imaging images which do not meet the standard terminal crimping inspection standard are obtained on the crimping surfaces of the crimping samples by means of trigger logic. According to the method, the crimping samples are detected, the invisible faults of the crimping samples are judged based on the set standard terminal crimping inspection standard, and finally different commands are input to the crimping equipment according to the types and severity levels of the invisible faults, so that the rapid detection of the crimping samples and the dynamic adjustment of the crimping equipment are realized, and the stability of the monitoring dimension of the crimping quality is ensured.

The invention discloses an electric connector fault prediction method, and the method comprises the steps: synchronously obtaining multiple types of time series data of a contact area of a target electric connector in a preset time window based on a preset data collection device, and the time series data comprise temperature spatial and temporal distribution time series data, contact resistance transient time series data and a surface image sequence; performing feature analysis on the multi-source time sequence data by using a preset time sequence coupling sign extraction mechanism to obtain a multi-source phase change feature vector of the target electric connector in the current time window; inputting the multi-source phase change feature vector into a pre-trained electric connector health state prediction model, and outputting a prediction result of the health state of the target connector at the current moment, including a health state index; and performing differential early warning based on the predicted health state index of the target connector. Therefore, early and quantitative accurate prediction of the state of the electric connector is realized.

The invention discloses a plug plugging and unplugging test device, and relates to the technical field of plug plugging and unplugging test.The plug plugging and unplugging test device comprises an operation table with an operation panel, a driving box, a fixing block and an auxiliary assembly, a mounting frame is fixedly arranged on the operation table, a first clamping plate and a second clamping plate are arranged on the two sides of the mounting frame respectively, and the driving box is fixedly arranged in the mounting frame; a supporting seat is fixedly arranged on the side, away from the driving box, of the interior of the mounting frame, a supporting plate is fixedly arranged at the bottom of the supporting seat, a second clamping assembly is arranged in the supporting seat, the fixing blocks are symmetrically arranged in the mounting frame, and symmetrically-distributed positioning rods are fixedly arranged on the outer side of the mounting seat. The fixing blocks are symmetrically arranged on the upper side and the lower side of the positioning rod, the first clamping plate for clamping a plug and the second clamping plate for clamping a socket are fixed at the same time through the mounting frame, then the positioning rod slides between the fixing blocks to accurately move the plug into the plug, and the situation that the plug is plugged in and out in a staggered mode due to vibration when the plug is plugged in and pulled out is prevented.

Systems and methods for detecting intermittent connections in a battery energy storage system (BESS) subsystem are disclosed. For each battery rack in the BESS subsystem, current time series data is received. A current rolling average is determined for each data point of the time series data by averaging current values of timestamps over a specified time interval. A current delta is determined for each data point, where the current delta is a difference between the current rolling average associated with the battery rack under analysis and a mean of the current rolling averages associated with the other battery racks in the BESS subsystem. A distribution profile of the current deltas is analyzed to detect a current anomaly at the respective battery rack. In response to detecting the current anomaly at the battery rack under analysis, an alert indicative of a faulty connection is displayed on a user interface.

The invention discloses a method for detecting an external load of an automobile emergency starting power supply, and relates to the technical field of automobile emergency starting, in the step S2, after an output circuit is closed, a system monitors dynamic current and load state changes, extracts related transmission data and calculates an abnormal coefficient, and once the abnormal coefficient exceeds a preset abnormal threshold value, the system is started; and the system sends a start stopping instruction in time, so that excessive loss of a storage battery or a starting power supply is further avoided, and the safety of equipment and a vehicle is effectively guaranteed. And S3 and S4, constructing a starting result recognition model by using the change coefficient and the abnormal coefficient, and fitting a judgment index after performing linear normalization processing on the data by virtue of a deep learning technology. By comparing the judgment index Pdzs with the qualified threshold value, the system can intelligently judge whether starting is successful or not, automatically control power output, avoid excessive current output and prolong the service life of equipment.

The invention relates to a cable joint resonance real-time diagnosis method and device and a medium, and belongs to the technical field of power equipment state monitoring, and the method comprises the following steps: obtaining a high-frequency current signal collected by a high-frequency current sensor and an ultrasonic vibration signal collected by an ultrasonic sensor array; performing signal synchronization on the high-frequency current signal and the ultrasonic vibration signal, and extracting a high-frequency current feature and an ultrasonic array feature; calculating a dominant frequency synchronization index, a normalized phase stability index and a nonlinear coupling index based on the high-frequency current characteristics and the ultrasonic array characteristics, and performing weighted summation to determine a fusion confidence coefficient function; and judging whether resonance exists or not based on the fusion confidence coefficient function, and if so, carrying out resonance source positioning. Compared with the prior art, the method has the advantages of high precision, low false alarm and high adaptability, and is suitable for key power system scenes such as new energy grid connection, urban smart power grids and wind power.

A system (100) comprising a wireless transceiver (121); an electrical wiring harness (110); and a wireless test module (120), WTM, operable to physically couple to the electrical wiring harness (110), the WTM (120) comprising a chassis (122) and a variable front end (126) connected to the chassis (122) using hot-swap connectors. The WTM (120) is operable to: wirelessly receive, using the wireless transceiver (121), a plurality of test instructions according to an automated test plan from a computer system (130); perform, using the variable front end (126), one or more tests on the electrical wiring harness (110) according to the plurality of test instructions; and wirelessly communicate, using the wireless transceiver (121), test results to the computer system (130).

The invention relates to the technical field of high-voltage power supply wiring terminal monitoring, in particular to a safety state monitoring method and system for a high-voltage power supply wiring terminal, and the method comprises the steps: obtaining the current data of a connection line of the high-voltage power supply wiring terminal and the temperature data of the wiring terminal; dividing a rising process, a falling process and a constant process to obtain a square wave impact current and a non-square wave impact current; the steep degree of current change in the rising and falling process and the deviation degree of current data in the constant process are analyzed, a current impact coefficient is obtained, a current impact temperature change consistency coefficient is constructed, a synchronous abnormal coefficient of each time period is obtained, and the state of the high-voltage power supply wiring terminal is monitored. According to the invention, the accuracy of monitoring the safety state of the high-voltage power supply wiring terminal is improved.

The invention discloses a high-speed connector detection method, device and equipment based on data analysis. The method comprises the following steps: constructing a multi-physics field coupling analysis model according to geometric parameters of a high-speed connector; determining characteristic parameters influencing the performance of the high-speed connector according to the multi-physics field coupling analysis model, and generating a standard characteristic library corresponding to the characteristic parameters and the performance indexes; acquiring real-time detection data of the high-speed connector; and identifying potential defects of the high-speed connector according to the standard feature library and the real-time detection data. Through the implementation of the scheme of the invention, the real-time detection data is compared with the standard feature library, and the theoretical basis provided by the performance abnormity and the multi-physics field model can be found in time, so that the defect identification is more accurate.

A battery pack includes a plurality of battery subpacks and voltage detection circuits, a current detection circuit, and a BMS. Each battery subpack and one connection component connected to the battery subpack form one to-be-detected assembly. The current detection circuit is configured to detect a current of the charge / discharge loop. The voltage detection circuit is configured to detect voltages at two ends of the to-be-detected assembly. The BMS is configured to: obtain the current of the charge / discharge loop and voltages at two ends of each to-be-detected assembly based on a preset period, generate a current sequence and a first voltage sequence of each to-be-detected assembly, calculate an impedance of each to-be-detected assembly based on the current sequence and the first voltage sequence, and when the impedance is greater than or equal to an impedance threshold, determine that the connection component in the to-be-detected assembly is abnormally connected.

The invention aims to provide an on-line monitoring device and a detection method for an electrical loop, and relates to a method and a system for dynamically calculating a conductor or contact resistance value and predicting a conductor or connection point degradation risk by acquiring current and voltage data of a conductor or an electrical connection point in real time, and a method and a system for dynamically analyzing a resistance change trend to determine a conductor or connection point degradation risk. Early warning of the health state of the conductor or the connection point is achieved, and the electrical fire prevention and control capability can be improved. The system comprises an electrical loop, a current detection module and a voltage detection module, the current detection module is arranged in the electrical loop to be detected, the voltage detection module is connected to the two ends of the electrical loop, and the current detection module and the voltage detection module are both in communication connection with a server through a data processing module and a networking module. The method is applied to the technical field of AC / DC power supply and distribution system electrical equipment / line resistance and electrical connection point contact state monitoring.

The invention provides a high-speed rail insulation joint health monitoring and early warning method and system, and relates to the technical field of joint health monitoring, and the method comprises the steps: carrying out the dimension reduction of resistance data and environmental influence factors through a random projection algorithm, carrying out the anomaly detection of the resistance feature data after the dimension reduction through an isolated forest algorithm, and carrying out the early warning. And through weight adjustment and path length optimization, a resistance abnormal point is marked. Using an empirical mode decomposition method to carry out constrained decomposition on the abnormal point data, and extracting multi-scale intrinsic mode function feature data; and performing resistance change trend prediction by using a Gaussian process regression model to obtain a resistance change prediction value and a confidence interval thereof. And inputting the predicted value and the confidence interval into a fuzzy reasoning model to obtain a graded early warning result of the high-speed rail insulated joint. Through multi-level data processing and analysis, the accuracy and reliability of fault early warning are improved, and safe operation of a high-speed rail steel rail system is ensured.

The invention relates to a high-voltage connector testing method, device and equipment and a storage medium, and the method comprises the following steps: carrying out the all-directional scanning of a high-voltage connector, and obtaining a connector surface electromagnetic field distribution data set; performing dielectric strength measurement on the high-voltage connector based on the electromagnetic field distribution data set to obtain dielectric breakdown characteristic parameters of the connector; performing frequency domain characteristic analysis on the dielectric breakdown characteristic parameters of the connector to obtain an impedance matching characteristic curve of the connector; performing thermal stress analysis on the high-pressure connector based on the impedance matching characteristic curve to obtain a connector stress distribution state diagram; and performing reliability analysis on the high-pressure connector based on the stress distribution state diagram to obtain a connector service life prediction report, and solving the technical problem that the influence of the internal and external environments of the connector on the performance of the connector under the actual working condition is difficult to accurately reflect due to the fact that an existing method mostly depends on an idealized model hypothesis when thermal stress analysis is performed.

The invention provides a cable branch box operation state evaluation method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, collecting the electrical parameters and physical state parameters of a cable terminal, a connecting line lug and an insulating sleeve in a cable branch box, and carrying out the preprocessing of the electrical parameters and the physical state parameters, obtaining a standardized state data sequence; and step 2, classifying the standardized state data sequence according to three parts, namely a cable terminal, a connecting wire lug and an insulating sleeve to form three independent state data subsets, and establishing an analysis framework containing M rows and N columns of analysis units for each state data subset. According to the invention, the operation states of the cable terminal head, the connecting wire lug and the insulating sleeve core component in the cable branch box can be accurately evaluated, and the fault risk can be graded and early warned, so that the differentiated operation and maintenance instruction is generated, and the operation and maintenance efficiency and the equipment operation reliability are effectively improved.

The invention relates to the technical field of data processing, in particular to a battery connector real-time current monitoring method and system. The method comprises the steps of obtaining a current data sequence of a connector in a current time period, and determining a noise degree value of current data at a target moment in the current time period; determining a first subsequence and a second subsequence from the current data sequence, and determining a plurality of target current data points from the first subsequence, wherein the differences between the target current data points and corresponding positions in the second subsequence are maximum; according to the noise degree values of a plurality of target current data points, performing weighted summation on the distances between the target current data points and the corresponding data points in the second sub-sequence to obtain weighted distances so as to determine the fuzzy entropy of the current data sequence in the current time period, and when the difference between the fuzzy entropy of the current time period and the fuzzy entropy of the previous time period is greater than a preset threshold value, outputting prompt information. According to the technical scheme, the cost of monitoring the connector can be reduced.

The invention provides a wiring error electric leakage user detection method and device. The detection method comprises the following steps: (A) in an acquisition time period, acquiring residual current of a detected transformer area and load current of each user in the detected transformer area at a set sampling interval; constructing a residual function, wherein the residual function is a residual sum of squares of a sampling value and an estimated value of the residual current of the tested transformer area in the acquisition time period; (B) estimating a complex weight coefficient of the load current of each user in the multiple linear regression equation about the residual current of the tested transformer area by minimizing the value of the residual function; and (C) if the amplitude of the estimated complex weight coefficient of the jth user is greater than or equal to a preset amplitude threshold, judging that the jth user is a wiring error electric leakage user, otherwise, judging that the jth user is a normal user. According to the method, the size of the complex weight coefficient of the load current of each user about the residual current of the transformer area is iteratively calculated in the feasible region, and the obtained identification result is more accurate and reliable.

The invention is suitable for the technical field of cable joint monitoring, and provides a cable joint parameter measurement method and device, and the method comprises the steps: obtaining the magnetic field data of a cable joint; the magnetic field data is obtained by additionally arranging a preset number of magnetic sensors in the circumferential direction of the cable joint; the current of the cable phase core is inverted based on the magnetic field data, and the corresponding relation between the magnetic field data and the current is obtained; based on the current of the cable phase core, obtaining the temperature of the cable joint under different load current conditions and the stress of the cable joint under different temperature conditions by adopting finite element simulation; determining electro-thermal coupling data of the magnetic field, the current, the temperature and the stress based on the corresponding relation between the magnetic field data and the current, the temperature of the cable joint under different load current conditions and the stress of the cable joint under different temperature conditions; the electro-thermal coupling data is used for measuring real-time parameters of the cable joint. The current, temperature and stress of the cable joint can be obtained by measuring the magnetic field of the cable joint.