680 results about "Signal conditioning circuits" patented technology

The invention relates to the technical field of DC / DC power supplies, and discloses a DC / DC power supply function parameter testing method and system and computer equipment, and the method comprises the steps: injecting a preset disturbance signal into an input end of a tested DC / DC power supply through a signal conditioning circuit, and obtaining output voltage response data and output current response data; adopting a dynamic multi-parameter test system and collecting target test parameter data; calculating a characteristic parameter set, and executing voltage-temperature control model predictive control analysis to obtain a control parameter sequence; and controlling the power output value of the electric heating wire, the rotating speed value of the heat dissipation fan and the position value of the electric push rod in the test box body to obtain an intelligent adjustment test environment and generate an aging test result and a test strategy adjustment instruction, thereby overcoming the problem of parameter detection blind areas in a traditional test method, and improving the test accuracy even under the condition that the output voltage is accurately matched with the set value. And the power supply performance abnormity can be effectively identified, and the reliability and accuracy of the test are obviously improved.

The invention discloses a DC fault arc identification method and device based on a wavelet transform algorithm, and the method comprises the steps: collecting a DC line current signal through a high-bandwidth current sensor, carrying out the digitalization of a signal conditioning circuit and a high-speed ADC, and sequentially carrying out the preprocessing of the elimination of baseline drift through differential filtering and the suppression of specific frequency interference through adaptive notch; performing 3-8-layer multi-scale decomposition on the pure signal by adopting a Daubechies wavelet basis, preferably selecting high-frequency detail coefficients from the first layer to the third layer, and creatively fusing a multi-scale energy entropy representing energy distribution randomness and a time domain kurtosis representing transient impact to form a composite characteristic quantity; a threshold value (threshold value = mean value + adaptive coefficient * standard deviation) is dynamically generated based on sliding time window historical data, the adaptive coefficient is dynamically adjusted according to the load type, the resistive load is 1.8-2.2, and the inductive / capacitive load is 2.5-3.5; and when the composite characteristic quantity exceeds a threshold value and the sample proportion is greater than or equal to 85% within the duration of 0.5-5ms, a tripping execution mechanism is triggered.

The invention provides a lightning trajectory data fusion detection based single-tree accurate early warning system for lightning fire, and relates to the technical field of meteorological disaster monitoring and early warning and forest lightning fire prevention and control. The lightning trajectory data fusion detection based single-tree accurate early warning system comprises an electromagnetic radiation receiving module which adopts an antenna array composed of at least four directional antennas to receive electromagnetic radiation signals generated by lightning, the antenna array is connected with a signal conditioning circuit, and the signal conditioning circuit is connected with the electromagnetic radiation receiving module. The signal conditioning circuit amplifies the received weak electromagnetic signal by 100-1000 times, processes the weak electromagnetic signal with a filtering bandwidth of 10 kHz to 1 MHz, and transmits the weak electromagnetic signal to a data acquisition card with a sampling frequency of 5-20 MS / s and a sampling precision of 12-16 bits. By integrating lightning electromagnetic radiation continuous sampling, infrared, visible light and ultraviolet multispectral tracking shooting and atmospheric electric field early warning multi-modal data, a lightning track is accurately detected, and by combining forest environment information, accurate early warning of a single tree where a lightning fire may occur is achieved.

The invention discloses a circuit and a method for ultrasonic flow detection, the method is a signal processing method, a system main controller is provided with a double-path driving channel and a double-path ADC acquisition channel, and a switching circuit and a signal conditioning path are dynamically controlled by a microcontroller, so that the flow of ultrasonic flow is detected. Through a real-time noise correction and self-calibration mechanism running in parallel with signal acquisition, a circuit system comprises a microcontroller, a switching circuit A1, a switching circuit A2, a driving signal conditioning circuit, a receiving signal conditioning circuit, a band elimination filter circuit and ultrasonic probes Y1 and Y2, multi-channel cooperative work and error compensation are realized; through a two-way switching architecture, a switching strategy and a dynamic calibration mechanism, the problems of zero drift accumulation, environmental noise interference and difficult calibration circuit signal deviation existing in a traditional single-channel design are effectively solved, and the precision, stability and environmental adaptability of flow measurement are remarkably improved.

The invention discloses a pulsed neutron generator control system based on LabVIEW, and the system comprises a neutron generator industrial personal computer which operates a virtual human-computer interaction interface developed based on LabVIEW; the console core board carries a DSP main control chip and is embedded into a real-time operating system; the driving sampling board is connected with the console core board and is integrated with a signal conditioning circuit; the neutron generator industrial personal computer communicates with the console core board through a Modbus protocol, and controls and drives the sampling board to output control signals of the three independent power supply ion sources, the storage and the acceleration pole to the neutron tube; wherein the console core board generates three paths of PWM signals with the PWM frequency of 2.5 kHz and the step length of 8191, and the three paths of PWM signals are converted into analog control signals through the driving sampling board. According to the control system, the PWM control precision is greatly improved, the voltage control precision is improved to 0.012% (100% higher than that of a conventional scheme) through the combination of the 8191 step length (13-bit resolution) and the 2.5 kHz frequency, and the neutron yield fluctuation is controlled within + / -1.5%.

The invention discloses a micro-water density monitoring method and system based on multi-sensor fusion compensation, and relates to the field of power equipment safety. According to the micro-water density monitoring method based on multi-sensor fusion compensation, parameters are collected in real time through a micro-water collector composed of a ceramic heater, a humidity-sensitive capacitor collection sheet, a dew point sensor, a pressure sensor and a temperature sensor; a signal conditioning circuit and an analog-to-digital conversion module are integrated by adopting a four-layer PCB (Printed Circuit Board), and the micro-water collector is heated for multiple times by a main controller; carrying out digital filtering processing, cross validation operation and operation of eliminating influence of environment temperature on the acquired parameters; the measurement precision is improved through a sensor self-calibration mechanism, finally standardized micro-water density data are output, and an early warning function is triggered based on a multi-level threshold value. According to the invention, the problems of low precision and poor reliability of the measured micro-water density in the prior art are solved. Therefore, the accuracy of micro-water density measurement under complex working conditions is effectively improved, and data support is provided for predictive maintenance of intelligent equipment.

The invention discloses a sensor array acquisition system for detecting gas, and relates to the field of gas sensors. The sensor array acquisition system for detecting gas comprises a gas sensor array, a signal conditioning circuit, an analog-to-digital conversion module, a control module and a power supply module. According to the sensor array acquisition system for detecting the gas, the voltage follower circuit with high input impedance is adopted, so that the problem of attenuation during signal acquisition of a high-impedance sensor is effectively solved, and the signal acquisition precision is improved. Through the adjustable direct-current bias circuit and the differential amplification circuit, the dynamic adjustment of the measurement range is realized, the gas detection requirements of different concentration ranges can be met, and hardware does not need to be replaced. A constant-current driving chip is adopted to control a sensor heating circuit, heating current can be accurately set by adjusting external resistance, it is ensured that the sensor works at the optimal temperature, and the stability and response speed of the sensor are improved.

The invention relates to the technical field of on-line health monitoring of wide bandgap semiconductor power devices, and discloses an on-line gate leakage current monitoring method and system for a GaN power device, and the method comprises the steps: extracting an average gate driving current which is within a complete switching period, an average value of instantaneous currents flowing into or out of the gate of the GaN power device; and on the basis of the average gate driving current, gate leakage current is obtained, so that online gate leakage current monitoring of the GaN power device can be carried out. The system corresponds to the method. According to the invention, the core problem that the traditional voltage detection method is insufficient in resolution and cannot realize early warning is fundamentally solved; meanwhile, a source electrode series sampling and non-intrusive signal conditioning circuit is adopted, a switch and a voltage stabilizing circuit are prevented from being introduced into a grid electrode driving loop, and therefore interference on parasitic parameters of the grid electrode loop is eliminated, and feasibility and reliability of application in a high-frequency and high-sensitivity GaN power device are ensured.

The invention discloses a parameter measuring device and method of an optical switch and optical communication equipment, and relates to the technical field of optical switch measurement, and the parameter measuring device of the optical switch comprises an optical path module, a signal conditioning circuit, a driving module, a signal acquisition module and an upper computer. The optical path module converts the optical signal into a current signal; the signal conditioning circuit conditions the signal into a voltage signal and amplifies the voltage signal; the driving module provides a driving signal and a synchronous triggering signal; the signal acquisition module acquires a voltage signal based on the trigger signal; the upper computer calculates performance parameters of the optical switch according to the voltage signals acquired for multiple times, wherein the performance parameters at least comprise two items of insertion loss, extinction ratio, switching time and the like; according to the technical scheme, one-key measurement of performance parameters such as insertion loss, extinction ratio, switching time, polarization-dependent loss, insertion-dependent loss and repeatability of the optical switch can be realized, meanwhile, the measurement cost of the optical switch is reduced, and the test efficiency and accuracy are improved.

The invention relates to the technical field of signal processing, in particular to a microseismic sensor front-end signal conditioning circuit based on lag correction frequency expansion. The microseismic sensor front-end signal conditioning circuit based on lag correction frequency broadening comprises a differential amplification circuit used for converting a differential signal input by a microseismic sensor into a single-ended vibration signal and carrying out pre-amplification processing on the vibration signal according to a preset gain to obtain an amplified vibration signal; and the filtering and lag correction circuit is used for widening the frequency range of the amplified vibration signal in a filtering and lag correction mode to obtain a conditioned vibration signal. According to the invention, frequency expansion can be carried out on the magnetoelectric sensor through a low-frequency compensation technology, and the response capability of the magnetoelectric sensor to a low-frequency signal is improved.

The utility model belongs to the field of fluid mechanical performance testing, and particularly discloses a water pump or hydroelectric generating set operation performance testing device which comprises an acquisition module and a testing module, the acquisition module comprises a power supply unit, a signal conditioning circuit and a data acquisition card, and the power supply unit is packaged by a sensor group and a portable interface box. The interface box and the sensor group are connected through phoenix wiring terminals, so that each path of sensor forms an independent signal channel, the test module comprises a calibration module, a test module, a sorting module and a signal analysis module, the calibration module comprises calibration optical cables connected with the signal channels in a one-to-one correspondence manner, and the calibration optical cables are connected with the signal channels in a one-to-one correspondence manner. The test module comprises an online monitoring unit, a test unit and a test recording unit, the sorting module is used for obtaining effective test data from the test recording unit, and the signal analysis module comprises a time domain analysis module and a frequency domain analysis module and is used for drawing various data charts for the effective test data. According to the utility model, the unit test process is simplified, and the error probability is greatly reduced.

The invention provides an isolating switch performance monitoring system, which comprises a data acquisition module which at least comprises a current sensor and a signal conditioning circuit and is used for acquiring action current signals of a driving motor in an isolating switch in real time; the data processing module is used for performing filtering, noise reduction and time domain and frequency domain feature extraction on the received action current signal of the driving motor and establishing a corresponding waveform database according to the extracted features, and the waveform database at least comprises a normal waveform database and an abnormal waveform database; and the state evaluation module is used for comparing the real-time waveform with the reference waveform in the waveform database through a preset algorithm, identifying abnormal feature points existing in the real-time waveform and generating a corresponding performance evaluation result. Precise evaluation of the performance of the isolating switch is realized based on the current waveform of the driving motor.

The invention discloses a self-adaptive control method and system for a photoelectric sensor in an extreme environment, and the method comprises the steps: calculating a signal energy sequence; generating an energy attenuation curve, and detecting an energy abrupt change point; dividing an environment response interval; calculating a fluctuation range; determining dominant environment parameters; extracting change trend characteristics, and determining a reverse compensation trend; setting a compensation parameter of the signal conditioning circuit based on the reverse compensation trend, and performing compensation control on the signal conditioning circuit by using the compensation parameter; recalculating an energy attenuation curve of the compensated signal sequence segment to obtain a compensation energy abrupt change point; when the number of the compensation energy abrupt change points is smaller than that of the energy abrupt change points, the current dominant environment parameters and the compensation parameters are written into an environment parameter priority table; and when the number of the compensation energy abrupt change points is not less than the number of the energy abrupt change points, selecting the environment parameter with the second large fluctuation range as the dominant environment parameter. According to the invention, the detection precision of the photoelectric sensor in an extreme environment is improved.

The invention relates to a self-compensating contact resistance on-line monitoring device and method in a high-temperature environment, and the device comprises a contact point which is used for forming a contact resistance to be measured; the thermocouple is used for monitoring the temperature in the high-temperature box in real time; the constant current source system is used for applying a constant test current to the contact point and dynamically adjusting an output current value; the signal conditioning circuit is used for filtering high-frequency interference in the voltage signal; the data acquisition card is used for acquiring voltage signals at high speed; and the processor is used for calculating the real value of the compensated contact resistance. The LSTM network based on Kalman filtering and physical constraint has the beneficial effects that in the LSTM network based on Kalman filtering and physical constraint, the KF outputs the denoised base value state in real time through dynamic fusion observation value and model prediction, and clean input is provided for the LSTM. The LSTM models a temperature-resistance nonlinear relation based on a denoising result of the KF, and makes up for a linear hypothesis defect of the KF.

The invention relates to the technical field of power sources, and provides a power source control system, which comprises a signal source interface, a signal conditioning circuit, a power transmitter, a voltage control circuit and a controller, the signal source interface, the signal conditioning circuit and the power transmitter are connected in sequence, the power transmitter is connected with the voltage control circuit, and the voltage control circuit is connected with the controller; the signal source interface is used for receiving an external signal sent by an external signal source; the signal conditioning circuit is used for performing signal amplification and gain adjustment on an external signal to obtain a power amplification signal; the power transmitter is used for converting the power amplification signal into a radio frequency signal and transmitting the radio frequency signal; the controller is used for controlling the voltage control circuit to adjust the output voltage of the radio frequency signal according to a first voltage value corresponding to the radio frequency signal and a second voltage value when the radio frequency signal is transmitted last time. By adjusting the output voltage of the radio frequency signal, the output voltage is matched with the radio frequency signal, and the signal transmission quality and transmission efficiency are improved.

The invention provides signal acquisition equipment for pulsed electric field ablation. The signal acquisition equipment comprises an input interface module, a signal conditioning circuit, a differential-to-single-ended circuit and a signal acquisition module, the input interface module comprises a first input interface and a second input interface; the signal conditioning circuit is arranged between the input interface module and the differential-to-single-ended circuit and comprises an adjustable resistance sub-circuit with an adjustable resistance value, a first end of the adjustable resistance sub-circuit is connected with the first input interface, a second end of the adjustable resistance sub-circuit is connected with the second input interface, and a sliding end of an adjustable resistor in the adjustable resistance sub-circuit is grounded; the first input end of the differential-to-single-end circuit is connected with the first end of the adjustable resistor sub-circuit, and the second input end of the differential-to-single-end circuit is connected with the second end of the adjustable resistor sub-circuit; and the signal acquisition module is connected with the output end of the differential-to-single-terminal circuit. According to the signal acquisition equipment provided by the embodiment of the invention, the accuracy of pulse signal acquisition can be improved.

The invention discloses an insulation resistance detection device and an energy storage cabinet, and belongs to the technical field of energy storage, and the device comprises a bridge arm circuit which is connected with a sampling resistor and a change-over switch in series, and is used for carrying out the insulation resistance detection of a battery cluster in a target energy storage cabinet; the control chip is connected with the bridge arm circuit and is used for controlling the sampling resistor and the change-over switch through different switch time sequences so as to trigger the bridge arm circuit to carry out insulation resistance detection on the battery cluster; the isolation ADC circuit is connected with the control chip and used for converting the control signal sent by the control chip into a target digital signal; and the signal conditioning circuit is used for performing signal processing on the target digital signal to obtain a target processing signal so as to assist the control chip to complete insulation resistance detection on the battery cluster by using the target processing signal. By means of the device, the problems that in the prior art, when insulation resistance detection is conducted on the battery cluster, detection precision is poor, and safety is not high can be solved.

Systems and methods for direct-to-RF (radio frequency) software-defined radio implementation of an active load-pull system are provided. A system may include a controller, a primary field-programmable gate array (FPGA) to control and collect waveform data from vector signal analyzers (VSAs), each comprising an analog-to-digital converter (ADC) connected to an ADC signal-conditioning circuit to directly capture RF measurements of an input signal at an RF fundamental frequency of test and harmonics, each ADC signal-conditioning circuit altering a signal amplitude and isolating a wanted RF frequency of measurement at either the RF fundamental frequency of test or a harmonic to be received by its ADC, first and second couplers generating each input signal by extracting forward and reverse traveling waves at RF from input and output ports of a device under test (DUT), the VSAs capturing the input signals directly at the RF fundamental frequency of test or a harmonic.

The utility model discloses a self-adaptive calibration type dynamic torque measurement sensor, and relates to the technical field of torque measurement sensors. The torque sensor comprises a sensor body, wherein the sensor body comprises a shell, a connecting seat integrally arranged at the middle position of the peripheral side of the shell, a central shaft movably arranged at the end part of the shell, a torque sensing strain gauge fixed at the peripheral side of the central shaft, and a sensing element arranged in the shell; the sensing element comprises a self-adaptive calibration module used for automatically adjusting measurement parameters according to environmental changes; the signal conditioning circuit module is used for processing the electric signal output by the sensing element; the data processing module is used for calculating an actual torque value; and the communication interface is used for exchanging data with external equipment. According to the utility model, the self-adaptive calibration module is arranged to monitor temperature and vibration changes in real time, and parameters of the signal conditioning circuit module are automatically adjusted, so that the torque measurement precision in a complex environment is effectively improved.

The invention discloses a high-efficiency UPS (Uninterrupted Power Supply) management system for well logging, and belongs to the technical field of power management. The system comprises a rectifier, a charger, a storage battery pack, an inverter, a change-over switch and a management module. The management module comprises an on-line monitoring unit, a power supply controller and a driving circuit, and the on-line monitoring unit collects UPS power supply operation state parameters in real time; the power supply controller receives and processes the parameters, and generates a control instruction according to a preset threshold value; and the driving circuit converts the control instruction into a driving signal and accurately controls the working state of the inverter. Wherein a signal conditioning circuit is arranged between the sensor module and the data acquisition unit and can perform enhancement and noise reduction processing on an analog signal output by the sensor. The driving circuit effectively resists well logging environment interference through cooperative work of an instruction amplifier, a photoelectric coupler and a field effect transistor, stable operation of a UPS power supply system is guaranteed, accurate control over the working state of an inverter is achieved, and it is ensured that stable and reliable electric power supply is provided for well logging equipment.

The invention discloses a touch detection device for a household appliance, and the device comprises a piezoelectric induction sensor which is disposed at the inner side of a door of the household appliance, and is used for detecting a knocking event exerted on the outer side of the door; the control circuit board is installed on the inner side of the door and is separated from the piezoelectric induction sensor, the control circuit board communicates with the piezoelectric induction sensor, and the control circuit board comprises a signal conditioning circuit used for processing a detection signal output by the piezoelectric induction sensor; and the controller is suitable for judging whether the knocking event is a correct human finger knocking event or not according to the processed detection signal. The piezoelectric induction sensor and the control circuit board are separately mounted on the inner side of the door of the household appliance, so that the space in the household appliance is saved, and the mounting convenience and flexibility of the touch detection device are greatly improved.

The utility model relates to equipment for monitoring migration of overlying strata. The equipment comprises a drilling machine, an optical fiber, a grouting pipe, a plugging structure, a grouting pump, a signal conditioning circuit, a data acquisition box and an upper computer, an M-row and N-column horizontal drilling matrix is dug at the intersection of the haulage roadway and the coal seam; one optical fiber is arranged in each drill hole, and the length of the drill hole is not smaller than the preset working face advancing length; the grouting pipe comprises an upper pipe and a lower pipe, the lower pipe of the grouting pipe is connected with the grouting pump, the lower pipe serves as a grout inlet pipe and is used for conveying high-pressure grout, and the tail end of the lower pipe is connected with a grouting nozzle; the upper pipe serves as a slurry return pipe and is used for slurry return and exhaust; a plugging structure is arranged on the grouting pipe; the grouting opening is blocked, and a reinforced concrete reinforcing covering layer is arranged; and the output ends of all the optical fibers are connected with a data acquisition box through a signal conditioning circuit. Overlying strata migration monitoring is carried out based on horizontally distributed optical fibers, and overall migration of a goaf fissure zone and a bent sinking zone in the advancing direction of a working face can be monitored in real time.

The invention provides a digital non-contact alternating-current voltage sensor and a voltage measuring method, the sensor comprises an open-type alternating-current voltage probe, a sensing assembly based on the capacitive voltage dividing principle in the probe converts high voltage on a wire into a first voltage analog signal, and an external grounding shielding layer provides anti-interference protection. Signals output by the probe are sent to the signal acquisition module, a signal conditioning circuit in the signal acquisition module firstly filters, blocks and amplifies the signals, and second voltage analog signals easier to process are generated. And then, the main control unit integrated with an analog-to-digital converter converts the signal into a digital sampling value, and finally, the communication unit outputs a measurement result in a digital signal form. According to the sensor, through non-contact measurement and full-digital processing, safe and convenient alternating current high voltage detection is realized, and stable and anti-interference digital signals can be output.

The invention relates to a partial discharge evaluation method and device based on a flexible sensor network, and belongs to the technical field of partial discharge detection. The evaluation device comprises a flexible sensing unit, a data acquisition module and an intelligent analysis terminal. The flexible sensing unit is composed of a flexible substrate, a conductive fiber array and a signal conditioning circuit and can be attached to a complex surface to collect signals. The data acquisition module filters, amplifies and digitalizes the received signal; and the intelligent analysis terminal generates an evaluation report through a multi-dimensional feature extraction and fusion technology. High-adaptability detection is achieved through flexible design, the efficiency and precision are improved in combination with intelligent analysis, and the method is suitable for the complex working condition environment and has wide application prospects.

The invention discloses a switching-in circuit with a self-adaptive voltage class and a double check logic. The switching-in circuit comprises a high-precision voltage division module, a double-redundancy sampling framework and a double sampling judgment logic executed by an MCU (Microprogrammed Control Unit), the high-precision voltage dividing module adopts a resistance network matched with a temperature coefficient, and can accurately divide input voltage in a wide temperature range; the double-set redundancy sampling architecture performs parallel sampling on the same path of input signals through two sets of completely independent signal conditioning loops, ADCs, digital isolation chips and isolation power supplies to form a physically isolated redundancy channel; the dual sampling discrimination logic executed by the MCU verifies a dual-channel sampling result based on a logic voting mechanism, and finally outputs a reliable input state or an abnormal alarm; according to the invention, through adaptive voltage design and redundancy check, high reliability is ensured, meanwhile, the requirements for spare parts of equipment of different voltage grades are remarkably reduced, and the inventory management cost is effectively reduced.

The invention provides a signal conditioning circuit, an analog-to-digital conversion system and a gain adjusting method and device, and belongs to the technical field of analog-to-digital conversion. The signal conditioning circuit comprises a switching module and a plurality of signal conditioning modules, and each signal conditioning module is connected with the switching module. The switching module is used for switching the signal conditioning modules connected with the analog-to-digital converter in the analog-to-digital conversion system according to the switching instruction, so that during each analog-to-digital conversion, only one signal conditioning module is used as a working signal conditioning module to be connected with the analog-to-digital converter; the switching instruction is generated according to a prediction gain gear and a prediction signal; the signal conditioning module is used for acquiring a to-be-converted signal, adjusting the to-be-converted signal to obtain an adjusted signal, and inputting the adjusted signal to the analog-to-digital converter for analog-to-digital conversion. The working signal conditioning module is switched through the switching module, the switching time is shortened, data availability in the sampling process is guaranteed, and therefore the conversion precision is improved.

The utility model discloses a dynamic signal acquisition circuit based on an FPGA kernel, and belongs to the technical field of signal acquisition. Comprising a field programmable gate array (FPGA) which is connected with a first synchronous dynamic random access memory (SDRAM), an ARM processor and a plurality of analog-to-digital converters (ADC). The input end of the analog-to-digital converter ADC is connected with the output end of the signal conditioning board; the input end of the signal conditioning board is connected with the dynamic acceleration sensor, the strain sensor and the displacement sensor and receives signals output by the sensors; the ARM processor is connected with a nonvolatile storage device FLASH and a second synchronous dynamic random access memory SDRAM; and the field programmable gate array FPGA is used for filtering and converting the acquired data and transmitting the data to the ARM processor. According to the utility model, synchronous acquisition, synchronous processing, synchronous analysis and synchronous transmission can be realized; the signal conditioning circuit adopts a modular design and can be compatible with sensors of various dynamic signals.

The invention relates to an automatic temperature compensation system of a pressure transmitter, which comprises a plurality of modules such as the pressure transmitter, a temperature sensor, a signal conditioning circuit, a microprocessor and the like, the temperature sensor is arranged in a measured pipeline to obtain a temperature signal, and the signal conditioning circuit is used for conditioning the signal; the microprocessor receives the conditioned signals and compensates the temperature according to parameters of the pressure transmitter, three-dimensional temperature field modeling and analysis functions are achieved, the self-adaptive learning module adjusts a compensation strategy through a biological heuristic algorithm according to the environment and the measured data history, and the display module displays related temperature data. The storage module stores various data, adopts a symmetric encryption algorithm to encrypt and has a data redundancy function, the environmental parameter sensor collects environmental data and high-precision and high-frequency collection and has a self-calibration function, the communication module transmits the data, and an internal quantum encryption communication sub-module ensures transmission safety. According to the invention, the temperature can be accurately compensated, the pressure measurement precision is improved, and the data safety and the system adaptability can be guaranteed.

The invention discloses a Kelvin source series connection type active gate drive circuit, and belongs to the technical field of power generation, power transformation or power distribution. The circuit is composed of a signal conditioning circuit, a bidirectional follower circuit, a feedback capacitor, a gate driver and a power supply circuit thereof, and a driving resistor. The signal conditioning circuit is provided with two input ports and two output ports, the two input ports are respectively connected with a power source electrode and a feedback capacitor of the switching device, and the two output ports are connected with an input port of the bidirectional follower circuit. The bidirectional follower circuit is provided with two input ports and a modulation output port, and the modulation output port is connected with a reference point of the gate driver and the power supply circuit of the gate driver. The output port of the gate driver and power supply circuit is connected with the gate of the switching device after being connected with the driving resistor. On the basis of common gate drive, low-delay and real-time feedback closed-loop active gate drive is realized by changing a circuit connection structure and utilizing reference point voltage modulation, and the purpose of reducing voltage and current overshoot of a power device is achieved.

The invention provides an anti-interference pressure sensor signal conditioning circuit based on a differential amplification structure, and the circuit comprises a differential input module which is used for receiving a differential signal outputted by a pressure sensor, and carrying out the amplification and filtering of the outputted differential signal, and obtaining a first differential signal; the common-mode suppression module is electrically connected with the differential input module and is used for suppressing a common-mode signal in the first differential signal to obtain a second differential signal; the programmable gain amplification module is electrically connected with the common-mode suppression module and is used for performing programmable gain amplification on the second differential signal to obtain a third differential signal; the low-pass filtering module is electrically connected with the programmable gain amplification module and is used for filtering high-frequency noise in the third differential signal to obtain a fourth differential signal; and the output buffer module is electrically connected with the low-pass filtering module and is used for converting the fourth differential signal into a single-ended signal and outputting the single-ended signal. According to the invention, external electromagnetic interference and common-mode noise can be effectively suppressed, and the stability and accuracy of signal transmission are improved.