358results about How to "Fast dynamic response" patented technology

The invention discloses a control circuit of an electronic load, the electronic load and a power supply test system. The circuit comprises an MCU; the signal output end of the MCU is connected with the input end of the DAC module; the closed-loop control circuit comprises a first error amplifier, a mutual inductor, an MOS (Metal Oxide Semiconductor) tube, a current sampling resistor and a power supply end VBUS; a mutual inductor is arranged between a first error amplifier and an MOS tube of the closed-loop control circuit, a power supply end VBUS is connected with a drain electrode of the MOS tube through a primary side of the mutual inductor, a first secondary side of the mutual inductor feeds back an input signal of the first error amplifier, and a second secondary side of the mutual inductor feeds back a driving signal of the first error amplifier to the MOS tube. According to the invention, the dynamic response speed when the electronic load pulls the high-frequency current can be improved, and the test requirements of high precision and high dynamic response are met.

The invention discloses a three-phase permanent magnet synchronous motor full-speed-domain driving control system and a control method thereof. The system is composed of a torque limiting module, a full-speed-domain control neural network module, a current control module, a coordinate transformation module-I, a coordinate transformation module-II, a coordinate inverse transformation module, an SVPWM module, a SiC MOSFET driving module, a full-speed-domain position rotating speed observation module, a weak magnetic feedback module and a three-phase permanent magnet synchronous motor. The control method is used for driving the control system. According to the method, accurate tracing of the optimal dq-axis reference current working point is realized based on deep learning, and accurate control of three operation modes of MTPA, field weakening control and MTPV is realized; an improved mobile vision field estimation algorithm is adopted, and the rotor position and the rotor rotating speed are accurately estimated within the full-speed domain range; the SiC MOSFET is used as an inverter switching tube, and a brand new drive circuit is designed to adapt to the operation condition of the electric vehicle.

The invention discloses a blast furnace top feeding winch control system which comprises four multi-transmission high-performance motion control frequency converters, and wire inlet structures of the transmission high-performance motion control frequency converters specifically comprise a system wire inlet structure A, a system wire inlet structure B and a system wire inlet structure C, the A system wire inlet structure comprises an A system wire inlet cabinet, an A system first rectifier cabinet, an A system second rectifier cabinet, an A system first inverter cabinet, an A system second inverter cabinet and an A system resistor cabinet; and B, a system wire inlet structure. A winch control system is optimized, a PLC alternating-current variable-frequency speed regulation mode is adopted, the speed dynamic response is high, the overload capacity is large, operation is safe and reliable, and the PLC self-control technology, the position encoder measurement technology, the large-scale variable-frequency speed regulation dragging technology and the intelligent master controller are organically combined and applied; and the faults of galloping, sliding, derailing and the like of the skip car in operation are reduced through double closed-loop control and multi-section speed control of a current loop and a speed loop of the motor.

The invention provides an eddy current sensor, a detection device and an electric driving system, and the sensor comprises an eddy current rotor, one end of which is connected with a rotating shaft of a to-be-detected motor and rotates synchronously; one end of the printed circuit board assembly is an electromagnetic induction area, the exciting coil and the receiving coil are arranged in the electromagnetic induction area, the receiving coil is distributed on the inner side of the exciting coil, the other end of the eddy current rotor is close to the electromagnetic induction area to form a preset air gap distance, and the eddy current control module is arranged at the other end of the printed circuit board assembly. The eddy current control module is connected with the excitation coil to form a high-frequency oscillation magnetic field and is connected with the receiving coil to receive the induced electromotive force. The design is compact, the size is greatly reduced, light weight is achieved, and the installation space and the manufacturing cost are reduced.

The invention discloses a hemispherical resonator gyroscope attitude drift error compensation method, and relates to the technical field of resonator gyroscopes, and the method comprises the following steps: S1, system modeling: firstly, establishing a mathematical model of a hemispherical resonator gyroscope, including dynamic characteristics and a noise model, for designing a PID controller; s2, a PID controller is designed, the proportion P, integral I and differential D parameters of the PID controller are designed according to the system model, and the parameters determine the response speed and stability of the controller to error signals; s3, error signal calculation: calculating an error signal between the actual output and the expected output of the system in real time, and taking the error signal as the input of a PID (Proportion Integration Differentiation) controller; by comprehensively applying the steps, the robustness of the HRG can be remarkably enhanced, the HRG can still keep high precision and stability when facing environment change, system aging or non-ideal working conditions, and a closed-loop control mechanism is combined to ensure that the system can maintain good performance under various conditions.

The invention provides a submerged arc furnace advanced control system based on electrode insertion depth soft measurement, and the system comprises a GPC unit which receives a deviation value between a smelting power set value and a real-time power value, the electrode voltage / current / active power of a submerged arc furnace, an electrode insertion depth soft measurement value, and an interference variable as input variables, the GPC unit outputs electrode insertion depth bias and gear bias to the electrode lifting / gear controller as output variables; the PCA unit is used for carrying out dimension reduction processing on the received electrical parameters and the working condition parameters and sending low-dimension data to the BPN unit; and the BPN unit receives the low-dimensional data, performs soft measurement calculation on the electrode insertion depth based on the low-dimensional data, generates an electrode insertion depth soft measurement value and sends the electrode insertion depth soft measurement value to the GPC unit. Soft measurement of the electrode insertion depth can be achieved, automatic adjustment of the submerged arc furnace electrode is achieved through a generalized predictive control algorithm, production is stabilized, economic benefits are improved, and the overall intelligent level of the submerged arc furnace is improved.

The invention discloses a multi-phase-multi-phase direct-type AC-AC converter based on an MMC and a control method of the multi-phase-multi-phase direct-type AC-AC converter. The AC-AC converter provided by the invention comprises a modular multi-level converter and N single-phase three-winding transformers, the modularized multi-level converter comprises X phase units, the input side is provided with m ports and connected with a first alternating current system, and the output side is provided with N ports and connected with a second alternating current system. Each single-phase three-winding transformer comprises a first winding, a second winding and a third winding, the first windings of the N single-phase three-winding transformers are respectively connected with N phases of a second alternating current system, and the second windings are connected with N output side ports of an upper bridge arm of the modular multilevel converter; and the third winding is connected with N output side ports of the lower bridge arm of the modular multilevel converter. The AC-AC converter is based on the principle of synthesis of differential-mode and common-mode voltage components of MMC bridge arms, and is combined with a three-winding transformer with an anti-dotted terminal, so that the number of sub-modules of the M3C topology can be further reduced, and the AC-AC converter has good expansibility and is suitable for application scenes with various special requirements.

The invention discloses a virtual synchronous generator parameter adaptive control method. The method comprises the following steps: firstly, establishing a VSG control model, and calculating upper and lower limits of rotational inertia and a damping coefficient; and then, parameters are optimized in combination with an improved whale optimization algorithm, and steady-state values of rotational inertia and a damping coefficient of the VSG system in a steady state and a threshold value of an adaptive control law are obtained. And finally, designing a proper adaptive control law, realizing reasonable matching of rotational inertia and damping coefficient adjustment strategies by setting threshold subdivision frequency deviation and frequency change rate change conditions, and outputting the adaptive rotational inertia and damping coefficient of the system. According to the scheme, the rotational inertia and the damping coefficient output by the system can be dynamically adjusted according to the frequency change rate and the frequency deviation monitored in real time so as to improve the damping ratio of the system, accurate control over frequency and voltage response is ensured, and the dynamic response of the system is effectively improved.

The invention relates to the technical field of automatic welding, in particular to an automatic welding control method and system for an aluminum-based wiring terminal, and the method comprises the steps: enabling a welding parameter to change from an initial welding parameter to A1 by utilizing a PID control algorithm; according to the change sensitivity of each controlled variable, the time interval of each controlled variable is obtained, and temporary welding parameters are screened out from the historical welding parameters; and after the PID control algorithm sequentially changes all the control quantities according to the time interval, a target welding parameter A2 is obtained according to the temporary welding parameters and the change sensitivity of the control quantities in the temporary welding parameters, the PID control algorithm is used for changing the welding parameters, so that the welding parameters are changed from A1 to A2, and the like, and the current welding process is completed. According to the method, the welding process is controlled relatively accurately and reliably, and the welding process at some moments before is prevented from severely influencing the subsequent welding process.

The invention relates to a control system and a control algorithm for improving the stability of a laser direction, and discloses a fast reflector control system and algorithm based on a bidirectional recurrent neural network fusing a self-attention mechanism and PID (Proportion Integration Differentiation) control. The core of the invention lies in that neural network prediction and PID control are innovatively combined to form an intelligent prediction-feedback control system. According to the system, a bidirectional recurrent neural network based on a self-attention mechanism is adopted for prediction, a comprehensive error concept is introduced to fuse an actual error and a prediction error, and intelligent self-adaptive adjustment of PID parameters is achieved. The system can significantly improve the precision of laser beam direction control, the anti-interference capability and the dynamic response speed, and has a wide application prospect.

The invention discloses an active disturbance rejection control method for suppressing subsynchronous oscillation of a doubly-fed wind turbine generator, which relates to the technical field of power system control and comprises the following steps: estimating subsynchronous current disturbance of a first controlled object in real time through a first extended state observer; using a first nonlinear state error feedback control strategy to perform feedback control according to the disturbance estimated by the extended state observer; the rotor current is kept constant, and subsynchronous oscillation is suppressed. According to the method, the sub-synchronous current disturbance of the controlled object is estimated in real time through the extended state observer, accurate estimation of the sub-synchronous current disturbance on the rotor side of the doubly-fed wind turbine generator is achieved, effective feedback control can be conducted on the estimated disturbance by adopting a nonlinear state error feedback control strategy, and therefore the disturbance disturbance can be effectively controlled. The feedback control output variable is calculated through the optimal control function and the current feedback error, real-time compensation of disturbance is achieved, the dynamic response speed of the system is increased, and the disturbance suppression capacity of the system is enhanced.

The invention proposes an ultra-wideband power grid simulation method based on improved repetitive control, and the method comprises the steps: carrying out the reconstruction of a repetitive controller from an internal model and a compensator, and obtaining a self-adaptive control inner loop system matched with the compensator through deduction; secondly, a plurality of internal model branches considering the normal deviation of the power grid frequency are connected in parallel, delay parameters of each branch are accurately designed by using a fractional order delay filter, and improvement is performed by using a compensator, so that the requirement of ultra-wideband high-performance output of the power grid simulator is met.

The invention discloses a PMSM (permanent magnet synchronous motor) AC servo system speed control method based on improved particle swarm optimization optimization RBF (radial basis function) fuzzy neural network PID control, the system is composed of a speed outer ring and a current inner ring, and the current ring adopts a PI regulator. A speed loop is designed to be an RBF fuzzy neural network PID speed controller, an RBF fuzzy neural network is optimized by improving a particle swarm optimization algorithm, and optimal parameters kp, ki and kd suitable for the PID controller are output. Simulation analysis and experiment results show that compared with a common PID control strategy, a BP algorithm optimization fuzzy neural network PID control strategy and a particle swarm algorithm optimization RBF fuzzy neural network PID control strategy, the particle swarm algorithm optimization RBF fuzzy neural network PID control strategy based on the improved particle swarm algorithm has optimal control performance; the method has the advantages of being high in dynamic response speed, good in control stability, resistant to load disturbance and high in robustness, and the excellent speed control effect of the PMSM alternating current servo system can be achieved.

The invention discloses an off-grid working condition control system and method for an inverter. The system comprises an inverter current feed-forward module, a first control loop, a second control loop and an inverter voltage feed-forward module which are connected in sequence. Wherein the inverter current feed-forward module is used for providing a current feed-forward signal for an inverter voltage output end of the inverter so as to generate an inverter voltage reference signal; the inverter voltage feed-forward module is used for providing a voltage feed-forward signal corresponding to an inverter voltage instantaneous value of the inverter; the first control loop is used for outputting an inversion current reference signal according to the inversion voltage reference signal and the voltage feed-forward signal; the second control loop is used for outputting a voltage adjusting signal according to the inverter current reference signal and the inverter current instantaneous value of the inverter, so that the adjusting signal and the voltage feed-forward signal are added to generate a PWM waveform signal for load power control, and therefore, an impact load can be driven with low rated inverter power; and the cost and the resource waste can be effectively reduced.

The invention discloses a soft start control circuit and method, a resonant transformation control circuit and electronic equipment, and the soft start control circuit comprises a charge feedback circuit which obtains a charge feedback signal through employing a resonant output signal; the voltage feedback circuit is used for obtaining a voltage feedback signal by utilizing a difference value between the power supply output signal and the target reference voltage; the logic control circuit is used for generating a first control signal in a first starting stage; in a second starting stage, generating a second control signal by adopting the maximum preset switching frequency and the adjustable dead time; in a third start-up stage, slope compensation is performed on the voltage feedback signal to obtain a feedback adjustment signal, and a third control signal is generated by using the feedback adjustment signal and the charge feedback signal; the logic control circuit adjusts the inverter AC signal by using the first to third control signals. By means of the mode, the soft start control circuit is high in dynamic response speed, small in starting current and simple in control logic.

The invention discloses a three-level power generation system multi-step prediction control method based on rolling time domain estimation. The method comprises the following steps: establishing a mathematical model under a new topology based on a three-level structure adopted by a machine-side converter and a network-side converter; discretizing the model; sampling current, voltage and speed and performing coordinate transformation; designing an outer ring model prediction speed controller; designing an inner ring model prediction current controller; selecting an optimal voltage vector enabling the cost function value to be minimum according to the constructed cost function; the dq-axis observer is used for estimating dq-axis disturbance information of the system, so that the designed current loop controller has relatively strong suppression on parameter mismatching; estimating state information of the system and disturbance information involved in each step of multi-step prediction by means of a differential GPIO observer, and constructing a new state space model; according to the method, the problem of large calculation amount is solved, and the anti-interference performance of the system is effectively enhanced.

The invention discloses a PFC circuit control method, system and device and a readable storage medium. The method comprises the steps of obtaining an output voltage signal of a PFC circuit and an initial reference current signal generated by a voltage outer ring based on the output voltage signal; obtaining a load current disturbance signal by using the output voltage signal and a current signal corresponding to an inductor in the PFC circuit; and obtaining an actual reference current signal of the current inner loop according to the initial reference current signal and the load current disturbance signal. The load of the voltage controller can be reduced, and when the load changes, the feed-forward value can be given quickly, so that the PFC circuit can respond to the load change quickly, and the dynamic response speed is improved.

The invention relates to a simulation modeling method for a generator body and accessories thereof for transient calculation, which comprises the following steps of: constructing generator body models with different complexities, and simplifying the generator models; according to the construction result of the generator body model, constructing a generator accessory model matched with the generator body model, considering dynamic characteristics in a prime mover model, and simulating transient dynamic processes of the generator and accessories thereof; parameters of the generator body model and the accessory model are initialized, a swing angle is calculated according to generator terminal voltage and current, and the calculated swing angle serves as an input parameter and is stored in a parameter data structure of the generator model; and performing simultaneous solution on the generator body and the accessory model, performing transient simulation calculation, and dynamically adjusting the simulation precision by adjusting the orders of the generator body models and selecting the generator body models with different complexities. And real and reliable modeling and data preparation are provided for accurate and complete simulation of a complex power grid catastrophe and recovery process.

The invention belongs to the technical field of dynamic temperature testing, and particularly relates to a dynamic total temperature probe based on double film platinum resistors, which comprises a probe head, a probe support rod, two film platinum resistors and two lead holes. The head of the probe is in a semi-spherical shape and directly faces a main stream to form a vertical section, the two thin-film platinum resistors are arranged on the section along the axis of the probe, leads of the thin-film platinum resistors are led out through lead holes located behind the thin-film platinum resistors, a four-wire system connection mode is adopted, and a cylindrical surface of a supporting rod of the probe and the vertical section are in a Vitdosski curve shape. The calibration and measurement data processing method provided by the invention greatly improves the measurement frequency response and the measurement precision of the probe, is suitable for measuring the transient temperature fields of the inlet, the outlet and the interstage of the turbomachinery, can quickly and accurately measure the transient temperature change of the turbomachinery under different working conditions, and provides a technical means for the transient temperature measurement of the turbomachinery.

The invention discloses a DAB converter backflow power suppression method based on a Runge-Kutta method, and the method comprises the steps: firstly selecting an auxiliary inductance value and an input capacitance value, and constructing a DAB converter; secondly, through volt-second balance and inductive current symmetry, calculating a relational expression between the backflow power of the DAB converter and an intra-bridge shift ratio D1 and a relational expression between the backflow power and an inter-bridge shift ratio D2, obtaining a relational expression between the backflow power and the D1, and establishing a fourth-order Runge-Kutta equation about the backflow power and the D1; and according to a fourth-order Runge-Kutta equation of the backflow power and the D1, solving a global optimal solution and values of the D1 and the D2. And finally, the solved D1 and D2 values are used for PWM wave modulation, and the backflow power is reduced under the condition that the transmission power is not changed. According to the invention, faster dynamic response is realized, and the backflow power is reduced on the basis of not changing the transmission power, so that the heat production is reduced, and the efficiency of the converter is improved.

The invention discloses a multi-source data-based mining equipment positioning system and method. The system is characterized in that a plurality of ultra-wideband base stations are sequentially mounted in a crossheading roadway at intervals; the coding identifiers are mounted on supporting columns of the hydraulic supports in a one-to-one correspondence manner, and are positioned on one side close to the coal mining machine; the inertial sensing unit, the camera, the ultra wide band positioning module and the controller are all mounted on the body of the coal mining machine; the visual angle of the camera faces a supporting column of the hydraulic support. The ultra-wideband positioning module is positioned on one side, close to a crossheading roadway, of a coal mining machine body and is connected with the ultra-wideband base station; the controller is respectively connected with the inertial sensing unit, the camera and the ultra-wideband base station. The method comprises the following steps: carrying out initial position calibration by using the ultra-wideband positioning module; predicting the position of the coal mining machine based on inertial navigation; updating the prediction state of the inertial sensing unit based on the identification of the coding standard by the camera; and the positioning continuity is ensured by fusing the data of the inertial sensing unit and the camera. According to the system and the method, real-time and accurate positioning operation of the coal mining machine in the working process can be realized.

The invention discloses a hydrogen-light-electricity-heat coordinated integrated comprehensive energy system and an operation method, the system adopts a power controller to carry out energy management on the system, when the load demand fluctuates, according to the set priority principle of system operation, the operation mode of the system is converted in real time, and coordination control of energy balance is carried out, so that the load demand is optimized. The reasonable distribution of the power can reduce the problem of light abandoning, the maximum utilization of energy is realized, the overall efficiency of the system is improved, and the system can better cope with the change of the load demand and stably operate for a long time. The system integrates photovoltaic power generation, fuel cell power generation, water electrolysis hydrogen production, energy storage, hydrogen storage and heat storage, complementation and supply and demand collaboration of various energy sources are achieved, the comprehensive energy efficiency of the system is improved, and various load requirements of electricity, hydrogen and heat can be met at the same time. Wherein the hydrogen is prepared by utilizing electric energy generated by photovoltaics, and in the process of producing green hydrogen by utilizing renewable energy sources, zero carbon emission is realized, and the utilization of clean energy sources is realized.

The invention discloses an on-line multi-parameter identification method and system for a permanent magnet synchronous motor, and the method comprises the steps: injecting a high-frequency sinusoidal voltage signal into a given voltage outputted by a d-axis and a q-axis during the operation of the permanent magnet synchronous motor, enabling the given voltage to serve as the input of a PWM module, and outputting a PWM signal to drive the permanent magnet synchronous motor; reconstructing a three-phase step voltage of an actual motor port as a voltage signal of a parameter identification strategy; converting the reconstructed three-phase step voltage of the motor port and the three-phase current measured by a sensor into reconstruction voltage and measurement current under d and q axes through coordinates, and then extracting amplitudes and phases of a high-frequency voltage signal and a high-frequency current signal in the reconstruction voltage and the measurement current; substituting into a high-frequency impedance model to obtain d-axis and q-axis inductances at the moment; and in combination with the voltage, current and rotating speed information at the moment, resistance and flux linkage parameters are solved by adopting a least square method with a forgetting factor, finally four parameters of the permanent magnet synchronous motor are obtained, and online multi-parameter identification is realized.

The invention belongs to the technical field of gold stamping, and particularly relates to a digital gold stamping mechanism and a working method thereof. A stepping motor controls and drives a traction mechanism and a winding drum to control gold foil to move, the stepping motor drives the traction mechanism to accurately control the speed of the gold foil, then a trolley controlled by a servo motor is matched to move along a cross beam, and through precise matching of a program, the speed of the gold foil is accurately controlled. The gold foil rolling speed is consistent with the moving speed of the trolley, so that the gold stamping work is completed; wherein the gilding moving speed, the trolley moving speed and the gilding gold foil winding drum receiving speed are consistent, gilding gold foil may extend due to heating due to gilding heating, a receiving servo motor increases a compensation coefficient, and the compensation coefficient is automatically added according to the starting heating amount so as to ensure that the gilding effect of the gilding head position is consistent with the actual height; the defects in the prior art are overcome, and a brand-new gold stamping technology is achieved from the technological means and the working method, so that the production efficiency is greatly improved, and the production cost is greatly reduced.

The invention relates to the technical field of three-phase three-level NPC converter control, in particular to a three-level converter full control set model prediction control method, which comprises the following steps: constructing a first prediction model of a three-level converter based on an electrical physical quantity; equally dividing each control period into n identical state intervals to form a full control set; converting the full control set after the redundant vector is removed into an alpha-beta coordinate system; obtaining a second prediction model under the alpha-beta coordinate system under the action of the full control set; constructing a midpoint potential difference prediction model; establishing a cost function by using the two prediction models; and carrying out hierarchical optimization on the cost function, removing redundant vectors from the full control set, carrying out cost function calculation, and selecting a state vector which enables the cost function to be minimum from the full control set as an optimal vector of a corresponding control period. According to the three-level converter neutral-point potential balancing method, a hierarchical optimization method is utilized, the neutral-point potential balancing problem of the three-level converter is solved, meanwhile, the tedious weight factor design step is eliminated, and the calculation burden is reduced.

The invention discloses an ultra-supercritical unit rapid dynamic response method based on multiple models, and relates to the technical field of thermal power generation. According to the method, a nonlinear control method which unifies internal model control and generalized predictive control is provided, and nonlinear control over an ultra-supercritical unit (USC) system is effectively achieved: firstly, through internal model control based on LSTM-Transform, the USC system achieves rapid convergence to be close to an expected value, and the response speed of a load is remarkably increased; secondly, the model is further optimized by enhancing a composite weighted human learning optimization network (CWHLO), and the accuracy of the model is improved; and finally, a generalized predictive control (CWHLO-GPC) algorithm based on an enhanced composite weighted human learning optimization network is adopted to control the USC system, so that high-precision load tracking performance is realized, and the problem of slow dynamic response of the ultra-supercritical unit system is solved.

The invention discloses a network construction type converter control method and device based on virtual excitation and terminal equipment, an internal potential amplitude is calculated according to a voltage effective value of a grid connection point and a preset voltage reference value by setting an internal potential amplitude generation model, and specifically, a plurality of PID control units are set in the internal potential amplitude generation model, and the internal potential amplitude is calculated according to the voltage effective value of the grid connection point and the preset voltage reference value. And the PID control unit is adopted, so that the response capability of the network-forming converter to disturbance can be effectively enhanced, and rapid adjustment of the internal potential is realized. Secondly, delaying an output result of the PID control unit through the inertia unit so as to maintain the stability of an internal potential amplitude, and then carrying out filtering compensation on the output result of the PID control unit through the correction unit. Therefore, the internal potential is adjusted through the internal potential amplitude generation model to maintain the network construction characteristic to the greatest extent, so that the voltage adjusting function of the converter is enhanced, the grid-connected point voltage level of the network construction converter is maintained, and meanwhile, good dynamic response performance is achieved after an external system is disturbed.

The invention discloses a high-efficiency converter for adjusting the voltage of a power grid, and belongs to the technical field of power electronics. The converter comprises a first voltage regulation circuit, a second voltage regulation circuit, a filter circuit, a detection circuit and a control circuit. By detecting the amplitude difference between the power grid voltage and the load voltage, the control circuit automatically switches the Buck working mode or the Boost working mode, and stable alternating current output in a wide input voltage range is achieved. The invention has the advantages of compact structure, high efficiency, fast response, small harmonic wave and the like, and is suitable for industrial and civil occasions with large-range fluctuation and frequent power grid voltage.

The invention discloses a matrix type temperature detection system and method based on temperature-sensitive diodes, the problems of complex wiring and large temperature drift of a traditional multi-node temperature measurement system are solved through M * N matrix layout, row and column time-sharing gating and constant current driving technologies, the system adopts an independent column constant current source to ensure the measurement consistency, and a high-precision ADC and a dynamic calibration algorithm are combined, so that the measurement accuracy is improved. And the precision of + / -0.2 DEG C is realized within the range of 50-150 DEG C. The method is particularly suitable for high-density temperature measurement scenes such as battery thermal management, electronic equipment overheating monitoring and the like.

A right port of a valve seat (5) abuts against the outer edge, axially bulging towards the left side, of a valve clack (9), a middle shaft part on the right side of the valve clack (9) rightwards extends out of a first guide rod (12), the right end of the first guide rod (12) is coaxially fixed in a guide sleeve (11) installed on the left side of the middle shaft part in a supporting seat (14), and the middle section of the first guide rod (12) is sleeved with a spring (13). The left end and the right end of the spring (13) abut against the right end face of the valve clack (9) and the outer edge of the left section of the guide sleeve (11) respectively, and the left section of the supporting seat (14) is a conical opening. Due to the unique structural design, resistance and pressure loss are small when fluid passes through, the flow coefficient is large, and the valve is suitable for large-flow medium pipelines. No water hammer impact phenomenon exists, dynamic response is fast, opening and closing are smooth and stable, and the outstanding low-noise and sealing performance is achieved. And sealing surface leakage caused by poor centering performance of the valve clack and uneven stress of a sealing pair due to the gravity factor is avoided.