28results about How to "High steady state accuracy" patented technology

The invention discloses an electric energy metering method and device based on harmonic self-adaptive observation and zero point tracking type SOGI-FLL. The electric energy metering method comprises the following steps: step 1, carrying out ADC sampling on voltage and current signals of a power grid; 2, performing frequency rapid estimation on the voltage signal based on a zero point tracking frequency-locked loop, and obtaining a fundamental wave angular frequency of a power grid in real time; step 3, constructing adaptive observers of voltage and current by using the fundamental wave angular frequency, and estimating parameters of fundamental waves, harmonic waves and direct current components in voltage and current signals in real time through an adaptive law based on Lyapunov stability; 4, according to the parameter estimation value, the amplitude and phase of the voltage and current are calculated; and step 5, calculating active power and reactive power of each harmonic based on the voltage and current amplitudes and phases obtained in the step 4, and summing to obtain total active power and total reactive power so as to realize metering of active electric energy and reactive electric energy. According to the invention, rapid and accurate metering of fundamental wave and harmonic wave electric energy under complex working conditions is realized.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention discloses a plasma activated water preparation system based on fuzzy PID (Proportion Integration Differentiation) adaptive temperature and power matching cooperative control. The plasma activated water preparation system comprises a human-computer interface, a main controller, a temperature / power sensor, a parallel double fuzzy PID controller, an intelligent coordinator, a power / temperature actuator and a plasma reaction machine, a temperature / power sensor sends a water body temperature Tfb and a discharge power Pfb to a main controller in real time, a temperature fuzzy PID controller and a power fuzzy PID controller output suggested powers Ut and Up, an intelligent coordinator outputs a final power instruction and a cooling control signal after arbitration according to a state machine that Tfb is smaller than or equal to Tset normal power, Tfb is larger than Tset and Pfb is larger than Pmin and power is preferentially reduced, and Tfb is larger than Tset and Pfb is smaller than or equal to Pmin and is forcibly cooled. And the power actuator continuously adjusts the discharge power according to the discharge power, and the temperature actuator implements auxiliary heat dissipation, so that the water temperature is accurately locked in the optimal active matter generation interval under the nonlinear and time-varying working conditions, the discharge intensity is ensured not to be lower than Pmin, and high-activity, high-energy-efficiency, continuous and stable plasma activated water preparation is realized.

The invention discloses an attention learning mechanism-based inverter model control prediction method, system and device, and a storage medium, and the method comprises the steps: pre-constructing a three-phase inverter simulation model, carrying out the real-time sampling of a state signal through employing an MPC controller, and obtaining a signal characteristic set; performing feature selection on the signal feature set, and extracting feature data; setting a screening threshold to screen the feature data, and taking the screened feature data as optimal features; inputting the optimal feature into a pre-trained machine learning model module to obtain a prediction result of the control signal of the three-phase inverter; the control performance can be improved while more calculation amount and communication traffic are reduced.

This invention belongs to the technical field of motor control and discloses a model predictive control method and system for effectively suppressing the second harmonic of a permanent magnet synchronous motor. The method includes the following steps: obtaining the three-phase input current of the permanent magnet synchronous motor at the current moment, converting the three-phase input current into a sum-i current in a coordinate system; extracting the two orthogonal components of the second harmonic at the current moment from the transfer function of the current input to a second-order generalized integrator; calculating the second harmonic component at the next moment using the two orthogonal components of the second harmonic at the current moment; compensating the fundamental current reference command at the next moment using the second harmonic component at the next moment, obtaining the compensated fundamental current reference command at the next moment, thus achieving the suppression of the second harmonic current at the next moment. This invention solves the problem of not suppressing the second harmonic in the control of permanent magnet synchronous motors.

The present application relates to air conditioning technology field, specifically to a kind of laboratory heating and ventilation load prediction and self-adaptive control method.The present application is packaged by synchronizing infrared frame and power sampling time scale, aligns and generates heat diffusion evolution rate.Combined with power jump and temperature rise time, establish heterogeneous dynamics coupling model.Extract physical evolution parameter as mechanism operator injection prediction model hidden layer, reconstruct phase space and calculate air load increment in lag window.Based on heat exchange characteristics, reverse mapping is executed to generate feedforward instruction, which is issued and dynamically corrected weight when rate exceeds threshold, to complete closed-loop correction.The present application performs deep coupling of feedforward prediction compensation and feedback residual adjustment, and realizes precise control of laboratory air volume and cold and heat load.

This invention belongs to the field of intelligent fitness equipment technology, and provides a zoned temperature-controlled therapeutic intelligent yoga mat and its control method. The yoga mat includes: a mat body, which is composed of an antibacterial sensing layer, a zoned heating layer, an intelligent spacing layer, a cushioning layer, and an adjustable friction bottom layer; the zoned heating layer contains multiple independent heating units, corresponding to the abdominal, hand and foot, and spinal areas respectively; an intelligent control module, which independently and precisely controls the temperature of each area based on the different target temperatures set by the user for each independent heating unit through an interactive terminal, combined with feedback from the zoned temperature sensors; the intelligent spacing layer integrates optical guide lines and a pressure sensor array to provide posture reference and sense the center of gravity distribution, providing real-time posture feedback to the user in conjunction with the intelligent control module. This invention solves the problems of existing heated yoga mats, such as single heating mode, lack of interactive guidance, difficulty in adapting to multiple scenarios, and in achieving precise therapeutic effects, thus improving safety, comfort, and exercise effectiveness.

The invention discloses an air pre-heater temperature control optimization method for thermal power generation, and belongs to the technical field of control optimization, and the method comprises the steps: constructing an air pre-heater inlet air temperature PID control system, obtaining an actual air temperature feedback value through an inlet air temperature monitoring module, and transmitting the actual air temperature feedback value to an inlet air temperature error calculation module; the inlet air temperature error calculation module receives the target temperature value and compares the target temperature with a feedback value so as to calculate and output a real-time error signal and transmit the real-time error signal to the inlet air temperature PID controller module, and the inlet air temperature PID controller module subjected to parameter optimization calculates a control quantity according to the real-time error signal; and the control quantity is output to the inlet air temperature adjusting module so as to adjust the inlet air temperature of the air pre-heater. The risk of corrosion and dust deposition of the low-temperature section of the air pre-heater can be effectively reduced, and the high use value is achieved for guaranteeing safe operation of a thermal power generation system and improving the fine operation level.

This invention relates to the field of voice coil motor servo control technology, specifically to a fractional-order high-order sliding mode control method for voice coil motors based on a third-order superspiral sliding mode observer (STSMO) and an adaptive reaching law. The method includes the following steps: S1, establishing a mathematical model of the voice coil motor, deriving the dynamic equations of the voice coil motor including parameter uncertainties and external disturbances, defining the position tracking error, and deriving the error dynamic equation; S2, designing a fractional-order high-order integral sliding surface, combining it with an improved Oustaloup filter to achieve rational function approximation of the fractional-order calculus operator, and constructing the first-order derivative equation of the sliding surface; S3, designing an adaptive hyperbolic tangent reaching law that integrates dynamic feedback of the error amplitude, and deriving the initial expression of the sliding mode control law based on the first-order derivative equation of the sliding surface and the adaptive hyperbolic tangent reaching law. This invention achieves real-time accurate observation and feedforward compensation of lumped disturbances through a third-order superspiral sliding mode observer (STSMO).

The application discloses a three-level full-bridge dual active bridge converter and a midpoint potential balance control method. The converter comprises a high-frequency transformer, a DC input voltage source is arranged on the primary side of the high-frequency transformer, and series-connected upper and lower capacitors are connected between the positive and negative electrodes of the DC input voltage source. Three-level half-bridge A and three-level half-bridge B are connected in parallel, a node between the upper and lower capacitors is connected to the midpoint of two clamping diodes of the two three-level half-bridges, the center point of the three-level half-bridge A is connected to one end of the primary side of the high-frequency transformer through a power transmission inductor, and the center point of the three-level half-bridge A is connected to the other end of the primary side of the high-frequency transformer through a DC isolation capacitor. In the control method, the primary side power device is divided into a fixed 50% duty ratio basic bridge arm and a non-symmetrical duty ratio adjusting bridge arm, a PI voltage balance loop is constructed by taking the voltage difference of the two capacitors as feedback, the duty ratio of the adjusting bridge arm is dynamically adjusted, the average value of the midpoint current is changed, and the midpoint potential balance is realized.

The invention discloses a relaxation fluctuation suppression method influenced by temperature change of an optical pump atom magnetometer, and the method comprises the following steps: constructing a relaxation noise model influenced by temperature based on the optical pump atom magnetometer, the relaxation noise model comprising a mapping relation between a measurement error of the optical pump atom magnetometer and a gas chamber temperature of an environment where the relaxation noise model is located; based on the mapping relation and the heat transfer principle, an air chamber heating thermal model is constructed, and the air chamber heating thermal model describes the dynamic relation between the heating film input voltage and the air chamber temperature; updating parameters of the air chamber heating thermal model in real time by applying a self-adaptive model predictive control algorithm; on the basis of the updated thermal model parameters, model predictive control algorithm control is executed so as to restrain air chamber temperature fluctuation, and then relaxation fluctuation of atoms in the optical pump atom magnetometer is restrained; the establishment time and overshoot of air chamber heating are effectively reduced, the low-frequency noise level of the optical pump atom magnetometer is reduced, and the measurement sensitivity is improved.

This disclosure provides a disturbance suppression method for grid-connected energy storage converters. By introducing an improved timing disturbance observer, it achieves rapid and accurate estimation of lumped disturbances such as grid voltage fluctuations and load abrupt changes. Combined with an adaptive sliding mode control algorithm, it dynamically adjusts the switching gain based on the sliding mode surface error, forming an observation-compensation closed-loop suppression mechanism. Simultaneously, relying on a multi-loop collaborative architecture consisting of voltage outer-loop sliding mode control, current inner-loop PR control, and capacitor voltage balance PI control, it achieves hierarchical suppression and decoupled control of multi-dimensional disturbances. Furthermore, it introduces a parameter adaptive optimization mechanism based on disturbance characteristics and device temperature, thereby significantly improving the dynamic response speed and steady-state accuracy of the system under weak grid conditions and complex operating conditions, reducing the DC voltage fluctuation amplitude, and comprehensively improving the system's stability, power quality, and wide-temperature-range operational reliability.

The invention relates to the technical field of semiconductor manufacturing equipment, in particular to a pressure control system of a wafer vertical process furnace. Comprising a process chamber; the gas inlet unit supplies process gas to the process chamber; the exhaust unit comprises a vacuum exhaust loop, a normal pressure / micro-positive pressure exhaust loop and an interlocking mechanism; the vacuum exhaust loop vacuumizes the process chamber to a vacuum or low-pressure state; the normal-pressure / micro-positive-pressure exhaust loop is used for exhausting when the process chamber is in a normal-pressure or micro-positive-pressure state; the interlocking mechanism is used for ensuring that only one loop is conducted with the process chamber; the sensing unit comprises a pressure sensor for monitoring the pressure in the process chamber; and the central control unit selectively conducts the vacuum exhaust loop or the normal pressure / micro-positive pressure exhaust loop through an interlocking mechanism. The pressure control system solves the problems of poor safety, low control precision and insufficient automation degree caused by single function or low integration level of the pressure control system of the wafer process furnace in the prior art.

The invention discloses a single-stage AC-DC converter control method, system, device and equipment and a storage medium, and belongs to the field of electric energy conversion, and the method comprises the steps: simplifying a duty ratio expression according to a whole power factor control strategy, and obtaining a simplified conduction duty ratio; determining a Taylor expansion point according to the simplified conduction duty ratio to obtain theoretical conduction time; timing is started from the switch conduction moment of the current switching period until demagnetization is detected to be finished, counting is carried out, a predicted value of the next switching period is obtained, and a conduction time predicted value of the next switching period is determined based on the theoretical conduction time; and determining the conduction time correction based on output voltage closed-loop control, and superposing the conduction time predicted value of the next switching period and the conduction time correction to obtain the final switching conduction time so as to realize control of the single-stage AC / DC converter. According to the invention, the equivalent switching frequency can be improved, the power density of switching power supply products is improved, the device stress is reduced, and the model selection cost is reduced.

The invention relates to the technical field of intelligent compensation control, in particular to a linear time-invariant ball screw driving system control method based on self-adaptive control. The method comprises the following steps: establishing a state space model of a system; designing a baseline controller, obtaining a state feedback gain by solving a linear matrix inequality, and generating a baseline control signal; calculating a steady-state gain, and filtering the reference input signal to generate a steady-state feed-forward control signal; constructing a state predictor, estimating the total uncertainty on line, decomposing the total uncertainty into matching and mismatching signals, generating matching and mismatching compensation signals after gain mapping and low-pass filter band limiting processing, and synthesizing the matching and mismatching compensation signals into self-adaptive compensation signals; and superposing the three paths of signals to obtain a master control signal, and after amplitude saturation and change rate limitation, outputting a system to input a signal driving system. According to the control method provided by the invention, the tracking precision of the ball screw system and the resistance to uncertain factors and external disturbance are effectively improved.

This invention provides a frequency control method and system for a digitally controlled oscillator, relating to the technical field of frequency control for digitally controlled oscillators. The method includes obtaining the current gate length value of the digitally controlled oscillator, performing gate counting on the output clock of the oscillator based on the current gate length value to obtain an in-gate counting sequence, calculating a noise estimate based on the in-gate counting sequence, determining a target gate length value based on the noise estimate, determining an instantaneous frequency ratio based on the target gate length value, calculating a smoothing factor based on the noise estimate and the target gate length value, smoothing the instantaneous frequency ratio based on the smoothing factor to obtain a smoothed frequency ratio, determining a target frequency tuning word based on the smoothed frequency ratio, and adjusting the output frequency of the digitally controlled oscillator based on the target frequency tuning word. This method improves the dynamic performance, steady-state accuracy, and environmental adaptability of the digitally controlled oscillator's frequency control.

The invention discloses an alternating current servo system control method for controlling the stability of an obstacle breaking vehicle body, and the method comprises the steps: constructing an unscented Kalman filter (UKF) load observer based on the UKF, and estimating a load torque value and the rotor angular speed of a permanent magnet synchronous motor in real time through the UKF load observer; feeding back a rotor angular velocity output based on a UKF load observer to an extended state observer (ESO), introducing a load torque value as a feedforward compensation amount into an NLSEF control law, introducing a Newton-Raphson optimization algorithm (NRBO), and performing global optimization on parameters of an active disturbance rejection controller (ADRC) by taking an improved ITAE index as a fitness function; compared with the prior art, the method can improve the tracking precision and the anti-interference performance of the barrier-breaking vehicle under the complex dynamic working condition, and guarantees the stability of the barrier-breaking vehicle body in the advancing process.

This invention relates to the field of motor control technology, and in particular to a segmented hybrid predictive torque control method for permanent magnet synchronous motors under low carrier ratios. This method first monitors the motor's operating status in real time and dynamically divides it into a large-error transient region, a small-error adjustment region, and a steady-state ripple suppression region based on torque error, flux linkage error, and speed. For each region, three hybrid strategies are employed: multi-vector model predictive control, a hybrid strategy of model predictive control and duty cycle modulation, and an improved model predictive control based on disturbance observation compensation. This invention, through a partitioned matching strategy, effectively solves the problems of low model prediction accuracy and prominent contradictions between dynamic response and steady-state ripple in traditional predictive torque control at low switching frequencies, significantly improving the system's control performance, accuracy, and robustness across the entire operating range, and is particularly suitable for medium- and high-voltage high-power drive applications.

The application discloses a motor position and speed double closed-loop control method based on an improved carbon black four-angle bee algorithm, and belongs to the technical field of PID control, and the specific steps comprise the following steps: S1, a position and speed double closed-loop control model based on a PID controller is established; S2, the carbon black four-angle bee algorithm is improved, which comprises introducing a nonlinear temperature balance mechanism, a chaotic gravity inertia guidance strategy and an asymmetric power law sinusoidal disturbance, and updating population positions in combination with a multi-source fusion method; S3, the improved carbon black four-angle bee algorithm is used to optimize control parameters of the PID controller in the position and speed double closed-loop control model, and a group of optimal PID control parameters Kp, Ki and Kd are obtained through algorithm optimization; and S4, the PID controller of the position and speed double closed-loop control model is simulated; the improved algorithm not only improves optimization precision and robustness, but also improves dynamic response speed and steady-state precision of the double closed-loop control system.

This invention provides a method, device, system, and equipment for directional pressure relief and infection control in a hematology ward, belonging to the field of medical environment control technology. The method includes: determining a first operating state of the hematology ward based on acquired signals; when the first operating state meets a first control precondition, generating a predictive control signal and a feedback control signal based on the acquired signals; performing signal fusion to obtain a comprehensive control command; adjusting the opening of a pressure relief valve in the pressure relief duct between the ward and the waste corridor according to the comprehensive control command, so as to stabilize the ward pressure within a target range and direct the ward air out through the pressure relief duct under pressure differential, allowing the exhausted air to be filtered and purified by a filtration device and then subjected to deep microbial inactivation treatment by a deep microbial inactivation module. This invention improves the stability of pressure control, achieving stable maintenance of a positive pressure environment and safe directional discharge of polluted air in a hematology ward under structurally constrained conditions.

The invention discloses a hollow-core optical fiber communication hybrid equalization method and device, and belongs to the technical field of communication. A sending end generates a signal through a geometric shaping 16QAM constellation module and quasi-Gray mapping, after the signal is transmitted through a hollow-core optical fiber, a receiving end preprocesses the signal, then tap coefficients of CMMA and LMS equalizers are optimized based on ISSA, and original bit data are output through secondary equalization, phase recovery and de-mapping. And the ISSA initializes the population through Latin hypercube sampling, and adapts the constellation after shaping and the hollow-core fiber channel characteristics by combining position updating, danger early warning and Gaussian variation disturbance optimization. According to the method, the defects of a traditional algorithm are overcome, the convergence speed and the steady-state precision are improved, the bit error rate is reduced, the anti-interference capability and the stability of the system are enhanced, and reliable support is provided for high-speed hollow-core optical fiber communication.

The application provides a linear module high-precision positioning control method and a control system. The method comprises the following steps: obtaining expected position information and actual position information of a linear module; generating a preliminary control instruction through a composite controller in parallel connection of a feedforward controller and a feedback controller based on the expected position information and the actual position information, wherein the feedforward controller generates a feedforward compensation amount based on the dynamic characteristics of an expected trajectory, and the feedback controller generates a feedback adjustment amount based on a position deviation; inputting the preliminary control instruction into an adaptive friction compensation model to generate a compensation control amount; correcting the preliminary control instruction based on the compensation control amount to generate a final control instruction; and outputting the final control instruction to a driving unit of the linear module to control the movement of the linear module. The linear module has high dynamic response, high steady-state precision, strong anti-disturbance capability and high environmental adaptability under complex working conditions, and the overall performance and robustness of the positioning control are significantly improved.

This invention discloses a method for integrating frequency detection function into a software phase-locked loop (PLL) of a three-phase converter, relating to the field of data processing. The method includes the following steps: Step S1, obtaining the grid voltage in a three-phase stationary coordinate system and converting it into a coordinate system grid voltage. Compared with existing technologies, the advantages of this invention are: This invention overcomes the limitations of low-bandwidth PLLs on frequency response, significantly improving the dynamic response speed and steady-state accuracy of frequency detection, while also possessing good anti-interference capabilities, solving the problem of balancing response speed and detection accuracy in traditional solutions; without changing the PLL PI parameters to ensure converter impedance stability and weak grid adaptability, the calculated real-time angular frequency is used as a feedforward value to replace the fixed feedforward, effectively improving the PLL's tracking speed for grid frequency changes; and it saves software resource costs.

The invention provides a novel safety control method for a magnetic suspension system based on a control barrier function, and the method comprises the following steps: obtaining the real-time state information of the magnetic suspension system, and constructing a mathematical model of the magnetic suspension system; calculating a tracking error, and recursively constructing a non-singular terminal sliding mode surface; designing an adaptive finite time disturbance observer, and performing finite time estimation on lumped disturbance including unmodeled dynamics and external disturbance to obtain a disturbance estimation value; designing a continuous nonsingular terminal sliding mode composite controller as a nominal control law; constructing a control screen barrier function according to a preset output security constraint boundary of the magnetic suspension system; and constructing a quadratic programming problem by taking the nominal control law as an expected input and the control barrier function as a safety constraint, and carrying out online solving to obtain a final safety control input. According to the invention, rapid and high-precision position tracking control can be realized on the premise of strictly guaranteeing that the system output is always in the preset safety interval.

The invention provides a battery pack, a thermal management system and a thermal management method, relates to the technical field of new energy vehicles, and solves the problem that an existing cooling medium distributor cannot synchronously adjust the flow of each module cooling branch. The battery pack comprises a battery module, heat exchange plates and a medium distributor, the medium distributor divides a cooling main path into a plurality of parallel branches, and each branch is provided with one heat exchange plate; the distributor is provided with a main opening and a plurality of branch openings, and the circulation section in each branch opening is adjusted through a first piston and an elastic piece. A second piston cavity is formed in the circumference of the control disc and is communicated with the first piston cavity through a pipeline to realize linkage; the adjustor is provided with circumferentially-distributed adjusting rods corresponding to the second pistons, the adjusting rods are connected with the expansion block through a locking mechanism, after a telescopic power source of the adjustor selects and adjusts the positions of the adjusting rods through rotation, the adjustor moves towards the control disc, and the adjusting rods push the second pistons to move. And then the first piston is linked to change the opening degree of the corresponding opening. The effect of synchronously adjusting the flow of each cooling branch is achieved.

The present application relates to the technical field of boiler control, and discloses a subcritical boiler drum water level regulating method, which comprises the following steps: setting a sensor to acquire the drum water level, steam flow, feed water flow, boiler pressure and feed water temperature when the boiler is running; setting a dynamic correction model, inputting the boiler pressure and steam flow, and acquiring a pressure self-adaptive dynamic feedforward compensation signal through dynamic correction; based on the feed water temperature, carrying out density compensation on the feed water flow to acquire a feed water mass flow compensation signal; based on the deviation of the drum water level from the water level set value, combining the dynamic feedforward compensation signal and the feed water mass flow compensation signal, generating a feed water valve opening degree instruction, and through the establishment of dynamic self-adaptive feedforward compensation of pressure and steam flow and the combination of mass flow correction of feed water temperature, the water level control precision and anti-disturbance ability of the subcritical boiler under variable working conditions are significantly improved.

The invention discloses a flight control structure of an electric tilting six-rotor unmanned aerial vehicle in a tilting transition mode, and aims to solve the problem that the electric tilting six-rotor unmanned aerial vehicle is difficult to control due to violent pneumatics, redundancy of an actuating mechanism and strong coupling of a channel in the tilting transition mode. The invention discloses a flight control system structure of an electric tilt-rotor unmanned aerial vehicle in a tilt transition mode. A hybrid control weight and control distribution mechanism is established based on the tilt angle to realize undisturbed switching and coupling suppression; a composite control path of'differential nacelle dip angle + rotor reaction torque / tail vane cooperation 'of a transition period yaw channel is provided; a hybrid execution mechanism distribution method based on a control distribution matrix is provided, and continuous weighted mapping of accelerator, rolling, pitching and yawing instructions between a motor and a control surface according to a tilt angle is achieved; and the stability of dynamic pressure and height is kept through speed feed-forward and inclination angle scheduling. According to the method, rolling / yawing can be controlled in the tilting process without obvious disturbance, pitching and height deviation is controllable, and compared with a traditional method, the method has faster dynamic response, better steady-state precision and good robustness and engineering realizability.

The invention discloses a thermal network and finite element-based relay temperature measurement point dynamic optimization method. The method comprises the following steps of S1, constructing a multi-node equivalent thermal network model; s2, constructing a three-dimensional finite element thermal analysis model; s3, identifying and correcting model parameters; s4, dynamic weighted optimization is carried out; and S5, screening out the optimal temperature measurement point with the highest temperature measurement point priority index. According to the method, the spatial steady-state advantage of a thermal network and the time transient advantage of a finite element are subjected to feature fusion, so that the limitation that traditional temperature measurement point selection has no basis is broken through, and the optimal monitoring position is automatically locked between the interior (such as a contact and an iron core) and the exterior of the relay according to working condition requirements; the response speed and the steady-state precision of the temperature monitoring system are remarkably improved, and the problems that the selection of the temperature measuring points of a traditional relay depends on experience, the transient thermal hysteresis characteristic is ignored, and the multi-working-condition load monitoring requirement cannot be considered are solved.