773 results about "Signal conditioning" patented technology

The invention discloses a high-precision current detection circuit calibration system, and belongs to the technical field of current detection circuit calibration. Comprising a shunt resistor, a Hall sensor array, a chopping amplifier, a low-noise operational amplifier, a temperature sensor, an ADC acquisition unit, an RC low-pass filter, a signal conditioning unit, a main control unit, an environmental parameter adaptive compensation module and a gain adaptive adjustment module. After an original signal is obtained from a multi-channel sensor, a dynamic error model is constructed in combination with temperature data, a long-term imbalance trend is extracted by using a moving average or median filtering algorithm, and real-time compensation is performed through a pre-calibrated temperature-drift function, so that the system maintenance period is remarkably prolonged.

The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal, and belongs to the field of gas detection. The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal. The infrared CO2 high-precision detection system comprises a sensing module, a signal conditioning and collecting module and a self-adaptive filtering processing module. According to the method, the problems of contradiction between response speed and stability, discrete signal tracking lag and sensitivity to environmental interference in the prior art are solved, the weight of a filtering channel is adaptively and dynamically adjusted, and the advantages of a fast filtering channel and a slow filtering channel are combined, so that balance between dynamic response and steady-state precision is realized; the problem of tracking lag of discrete signals is solved by analyzing the change rate of the signals in real time and dynamically adjusting a filtering strategy; and through a hybrid filter and an environment compensation algorithm, the influence of temperature and humidity changes on a detection result is reduced, so that the long-term stability of the sensor is improved.

The invention belongs to the technical field of gap measurement, and particularly relates to a high-temperature-resistant transparent shell type eddy current tip gap measuring device and method, and the device comprises a sensor probe module, a signal conditioning module, a data collection module and a data processing module. The sensor probe module is mounted on the outer wall of the casing; the sensor probe module comprises a permanent magnet excitation source, a soft magnet magnetic core and a receiving coil; the signal conditioning module is electrically connected with the receiving coil and is used for amplifying, filtering and integrating the weak induction signal; the data acquisition module is electrically connected with the signal conditioning module and converts an analog signal into a digital signal; the data processing module is used for processing the acquired digital signals and extracting blade tip clearance information.

A system for heating a battery comprising a first switch operably coupled with a power supply. An inductive element, which may be a part of filter, is in operable communication with the first switch and a second switch. The system includes a processor in communication with the switches to execute instructions to control the switches to controllably source current to and from the battery, wherein the sources current to and from the battery may be of arbitrary shapes tuned to harmonics optimized for heat generation.

The invention relates to the technical field of satellite navigation and wireless communication, and discloses an indoor positioning method and system based on feeder multiplexing Beidou double-frequency, and the method comprises the steps: receiving outdoor B1I and B2a signals through a high-gain Beidou double-frequency receiving antenna, carrying out the frequency separation and signal conditioning through a double-frequency separation filter, and carrying out the positioning of the B1I and B2a signals; and transmitting the B1I signal to an indoor distributed antenna for broadcasting through the existing communication feeder network, and transmitting the B2a signal to a central directional antenna to establish a time synchronization reference. A mobile terminal receives a dual-frequency signal, capturing and tracking are carried out through digital signal processing, and pseudo-range and carrier phase observation values are extracted. And performing pairing processing on observation data of the same antenna, calculating a dual-frequency pseudo-range difference value, eliminating system errors, and performing position calculation by adopting a weighted least square method and Kalman filtering. The method solves the problem that the traditional GPS signal cannot cover the indoor environment, and has a good application prospect in the scenes of underground commercial complexes, tunnels, parking lots and the like.

The ultralow frequency sensor comprises a vibration detection unit, a power supply voltage stabilization unit and a signal conditioning unit, the power supply voltage stabilization unit is provided with a low dropout linear voltage regulator U20, a voltage converter U19 and a negative voltage regulator U21, and the low dropout linear voltage regulator U20 stabilizes an external power supply as a positive power supply VCC; the voltage converter U19 is used for converting positive voltage of an external power supply into negative voltage and outputting stable negative power supply VEE through the negative voltage stabilizer; the positive power supply VCC and the negative power supply VEE supply power to the signal conditioning unit; the signal conditioning unit comprises a high common mode rejection differential amplifier, a differential-to-single-ended amplifier, a band-pass filter and a differential output driver, a differential signal output by the vibration detection unit sequentially passes through the high common mode rejection differential amplifier, the differential-to-single-ended amplifier, the band-pass filter and the differential output driver, and then a differential voltage signal is output; the method has the advantages of high stability and reliability and the like.

The invention discloses a multi-protocol compatible hydropower station field bus photoelectric signal synchronous acquisition device and method, and relates to the technical field of industrial bus testing, the device comprises a core control layer, a signal conditioning layer, a photoelectric interface layer, a clock synchronization layer, a power management layer and a data storage and transmission layer; the core control layer adopts a dual-core framework of a domestic Loongson 2K0300 main control unit and a domestic FPGA (Field Programmable Gate Array) time sequence control unit; the clock synchronization layer adopts a two-stage synchronization mechanism of'local crystal oscillator time sequence control + NTP network clock calibration '; and the signal conditioning layer is integrated with a multi-protocol self-adaptive conditioning module and an industrial-grade anti-interference module. The method comprises the steps of clock initialization and calibration, parameter configuration, photoelectric signal parallel acquisition and time sequence synchronization, and data preprocessing and transmission, so that synchronous acquisition of six types of bus protocol photoelectric signals is realized. The system has the advantages of multi-protocol compatibility, autonomous controllability, good portability and the like, and provides reliable data support for bus communication quality evaluation and fault diagnosis.

The invention provides a current sensor. According to the current sensor, four identical magnetic sensing parts are arranged at corresponding positions on the upper side and the lower side of a current guide row, the sensing centers of the four magnetic sensing parts are symmetrical about the current guide row in pairs, and the sensing direction is parallel or antiparallel to the row width direction of the current guide row. The current guide bar is a flat metal conductor so as to counteract the influence of current on any two magnetic sensitive parts symmetrical about the current guide bar. In cooperation with the hardware setting, target signals capable of representing the magnitude, the phase and the frequency of the current in the diversion bar are obtained through corresponding sensing signal processing, meanwhile, the influence of constant interference fields in all directions is eliminated, and three-dimensional interference resistance is achieved. In addition, according to the current sensor provided by the invention, the four magnetic sensing parts and the signal conditioning unit are arranged on the PCBs stacked on the upper side and the lower side of the diversion row, so that the current sensor is compact in structure and small in size.

The invention relates to a low-noise high-precision pressure measuring circuit which comprises a bridge type sensor, an alternating-current excitation signal source, a phase-sensitive detector, a low-pass filter, a reference signal source and a signal conditioning amplifier. The alternating current excitation signal source modulates a differential voltage signal generated by the bridge type sensor to a high-frequency alternating current excitation signal generated by the alternating current excitation signal source to obtain a high-frequency pressure signal; the high-frequency pressure signal is amplified by the signal conditioning amplifier to form a modulated signal; the phase-sensitive detector performs frequency mixing on the modulated signal and a reference signal generated by a reference signal source to obtain a frequency mixing signal; the frequency mixing signal is filtered by a low-pass filter to form a direct-current voltage signal for pressure measurement; the reference signal generated by the reference signal source and the high-frequency AC excitation signal generated by the AC excitation signal source have the same frequency. According to the circuit, signals are modulated to a high-frequency area with low noise energy to be processed by adopting alternating-current excitation and coherent detection technologies, the signals and noise are effectively separated, and extremely high measurement resolution and precision are achieved.

The invention discloses an analog signal pulse encoding device based on event driving and an analog signal processing method, and the device comprises a signal conditioning module which comprises at least one conditioning unit, and the conditioning unit is used for receiving an analog signal, carrying out the front-end analog conditioning of the signal, and outputting an analog conditioning signal; the threshold comparison module is connected with the signal conditioning module and is used for carrying out threshold detection on the analog conditioning signal according to a set threshold and then outputting a threshold comparison signal; the event triggering module is connected with the threshold comparison module and is used for triggering a pulse event signal corresponding to the analog conditioning signal according to the threshold comparison signal; and the pulse coding module is connected with the event triggering module and is used for converting the pulse event signal into a pulse coding signal by adopting a pulse coding mode. According to the invention, by introducing the threshold comparison module and the event trigger module at the front end of the device, invalid sampling can be effectively avoided, a large amount of redundant data can be reduced, and power consumption, communication and storage pressure and burden can be reduced.

The invention, which relates to the technical field of power cable insulation state detection, discloses a power cable insulation state on-line diagnosis system comprising a multi-parameter acquisition module comprising a multi-type sensor group, a signal conditioning unit and a data transmission unit. The data preprocessing module processes abnormal values and noise, unifies parameter dimensions and synchronizes timestamps; the insulation state diagnosis module is used for constructing a hierarchical index system, calculating scores through combination and empowerment and dividing grades; the fault positioning module transmits a narrow pulse signal, receives a reflected signal and calculates a fault distance; the result output module is used for generating a report, visually presenting the report and pushing the report to multiple terminals; and the system management module is used for dividing authority, recording logs, carrying out double backup data and monitoring the equipment state. The comprehensive performance, real-time performance and accuracy of cable insulation diagnosis are improved, faults are accurately positioned, aging trend prediction and personalized maintenance are supported, data safety is guaranteed, operation and maintenance efficiency is improved, the service life of the cable is prolonged, and power supply reliability is enhanced.

The invention discloses an air pressure sensor communication control method and system based on PFM pulse frequency modulation, in a multi-sensor networking scene, environmental parameters are converted into analog electric signals through signal conditioning and then mapped into a unique pulse change sequence, and coding optimization is carried out for the matching degree of the pulse sequence and the parameter variable quantity. High-fidelity and low-power-consumption data expression and transmission are realized; anti-interference filtering is implemented through a communication link in combination with a signal transmission protocol, and original parameter data is restored through inverse mapping after the integrity of a pulse sequence is ensured; then, the data of the multi-source sensor is integrated in the main control unit to form a networking parameter data set, abnormal deviation is judged through comparison logic, a control instruction is generated and fed back to a terminal to execute accurate adjustment, a complete link from sensing and optimized transmission to closed-loop regulation and control is formed, and finally high-reliability real-time monitoring and self-adaptive intelligent regulation and control of environmental parameters are achieved.

The various implementations described herein include techniques and apparatuses for multi-channel biopotential signal acquisition, biopotential signal pre-processing, and adaptive signal conditioning. In one aspect, an apparatus is provided for adaptive signal conditioning for biopotential acquisition. The apparatus includes an analog circuit configured to amplify biopotential signals, and a mixed-signal circuit (e.g., which can include an adaptive digital algorithm) coupled to the analog circuit and configured to suppress aggressor signals such as baseline wandering signals and power-line-induced noise in the biopotential signals before amplification of the biopotential signals.

The invention discloses a multi-modal data acquisition and processing system for dynamic pressure assessment, and the system comprises a multi-modal data acquisition module which synchronously acquires dynamic pressure signals of different modals through a plurality of high-frequency response pressure sensors; the data preprocessing module is used for carrying out real-time signal conditioning processing on the dynamic pressure signals in different modes to obtain preprocessed multi-mode dynamic pressure signals; the multi-modal data fusion module is used for carrying out space-time alignment and feature extraction on the preprocessed multi-modal dynamic pressure signals by adopting a multi-factor coupling model, and generating fusion pressure data through a fusion algorithm; and the dynamic pressure evaluation module is used for executing time-frequency domain analysis and mode recognition on the fusion pressure data through an analysis model, extracting key characteristic parameters, calculating a dynamic pressure index through a pressure evaluation algorithm, and generating an evaluation result containing the dynamic pressure index. According to the invention, high-precision and real-time dynamic pressure assessment can be realized, and the comprehensiveness and reliability of data acquisition and analysis are improved.

The invention provides a temperature and pressure synchronous control method based on multi-sensor fusion and an adaptive algorithm and an intelligent controller, and relates to the technical field of industrial process control. The sensor group is integrated on the shell or is connected through an interface and is used for synchronously acquiring a temperature signal and a pressure signal of a controlled object; the signal conditioning and acquisition module is electrically connected with the sensor group and is used for performing conditioning and analog-to-digital conversion on the temperature signal and the pressure signal; the core controller is electrically connected with the signal conditioning and collecting module, and a control program is stored in the core controller; the control output module is electrically connected with the core controller and is used for outputting at least two paths of independent control signals so as to respectively drive a temperature executing mechanism and a pressure executing mechanism; and the human-computer interaction interface is arranged on the shell and is electrically connected with the core controller. According to the invention, synchronous, collaborative and accurate control of temperature and pressure is realized, and the technical problems caused by islands and strong coupling are effectively overcome.

The invention discloses a non-intrusive sensor with an external excitation source and a voltage measurement method, and the non-intrusive sensor comprises an induction signal collection unit, an induction signal conditioning unit, and a main control unit. The main control unit is respectively connected with the induction signal conditioning unit and the cable power supply, the induction signal conditioning unit is connected with the induction signal acquisition unit, and the induction signal acquisition unit is in non-contact inductive coupling connection with a cable to be detected; the main control unit is used for injecting the specific excitation signal into an alternating current loop of a cable power supply to form a composite signal, analyzing the composite signal based on a preset excitation source amplitude parameter, and calculating the power supply voltage of the to-be-detected cable; the induction signal acquisition unit generates a corresponding induction signal by capturing electric field energy generated by a composite signal in the to-be-detected cable; the induction signal conditioning unit carries out standardization processing on the induction signal. According to the invention, the technical problems of low external excitation voltage measurement precision, low system integration and single excitation source generation mode in the prior art are solved.

The invention provides a nutrition pump drop identification method, a nutrition pump and electronic equipment, and relates to the technical field of drop identification, and the nutrition pump drop identification method comprises the steps: obtaining liquid drop detection signals collected by multiple infrared receiving channels; performing signal conditioning processing on each path of liquid drop detection signal to obtain multiple paths of pulse signals; combining the multiple paths of pulse signals into a single-path effective pulse sequence by using redundancy decision logic; and calculating the real-time dripping speed according to the pulse frequency of the single-path effective pulse sequence. According to the scheme, the liquid drop detection signals of the multiple infrared receiving channels are collected in parallel, or operation merging is carried out on the multiple pulse signals through the redundancy judgment logic, effective recognition of liquid drop events can still be maintained when part of channel signals fail, and therefore the fault-tolerant capability and robustness of the detection process are improved.

The invention discloses a gesture recognition system and method based on multi-channel mixing of EMG, FMG and IMU. The system comprises a multi-channel signal acquisition module, a signal conditioning and synchronous acquisition circuit, a data preprocessing module, a deep neural network fusion recognition module and an output interface module. By integrating a surface electromyogram, a muscle force diagram and an inertial measurement unit, synchronous acquisition of multi-modal physiological signals of the forearm of a human body is realized; a double-flow convolution-time sequence attention fusion network (DCTANet) is adopted for feature extraction and classification decision making, and neuromuscular activity, muscle mechanical response and limb movement information are effectively fused. The accuracy, robustness and real-time performance of gesture recognition are improved, and the method is suitable for the fields of intelligent prostheses, wearable interaction, rehabilitation training and the like. The system is compact in structure, supports embedded deployment, and has a good practical prospect.

The invention discloses an intelligent reactive power automatic compensation control device and method, and relates to the technical field of reactive power compensation of a power system. The device comprises a power supply input module, a sampling and signal conditioning module, a high-speed ADC module-block, an FPGA high-speed processing unit, a data storage module, an AI decision unit, a control driving module, a multi-channel capacitor switching device and a capacitor bank module. Through combination of the multi-channel capacitor switching device and an intelligent dynamic control technology, matrix-type accurate switching control of the capacitor bank is realized, the corresponding capacitor bank can be flexibly switched based on reactive power data dynamically acquired in real time, instant accurate compensation of reactive power capacity is achieved, and the reactive power capacity of the capacitor bank is accurately compensated. And the adaptability and the flexibility of compensation under different load working conditions are ensured.

The invention provides a transformer internal partial discharge detection method, device and equipment and a storage medium, and belongs to the field of transformer monitoring, and the method comprises the steps: obtaining an ultrahigh frequency electric signal, an optical signal and an acoustic signal generated by transformer internal partial discharge through an ultrahigh frequency sensor, an optical sensor and an optical fiber Fabry-Perot ultrasonic sensor; a multi-state quantity integrated sensing SoC chip on the circuit board is used for conditioning and digitizing the signals to generate a digitized signal flow; inputting the signal flow into a state sensing special edge computing NPU chip, processing the signal flow by using a graph attention network algorithm, calculating an attention coefficient between sensor nodes, and fusing the multi-modal signals to generate a fusion signal; and determining the partial discharge type according to the fusion signal. According to the invention, three sensors are internally integrated, signal conditioning digitalization is carried out by using the SoC chip, multi-mode signals are fused through the NPU chip, high-precision and high-reliability identification is realized, and the difficulty of an external sensor is overcome.

The invention relates to the field of power equipment safety monitoring, and discloses a thermal power plant generator hydrogen leakage on-line monitoring system and a detection method, and the system comprises a distributed solid palladium alloy sensor array, a multichannel impedance harmonic signal conditioning unit, an edge calculation processing terminal and an upper computer monitoring platform. The multi-channel impedance harmonic signal conditioning unit applies a composite alternating current excitation signal to the distributed solid palladium alloy sensor array; and the edge calculation processing terminal receives the digital voltage sampling data, calculates complex impedance spectrum characteristic parameters and nonlinear harmonic distortion coefficients, executes pure hydrogen locking discrimination and surface pollution correction, constructs a concentration gradient vector field and calculates space coordinates of a leakage source. Environmental interference is eliminated by analyzing nonlinear harmonic response, surface pollution influence is eliminated by using a complex impedance spectroscopy separation technology, a leakage position is inversed in combination with a countercurrent line tracking algorithm, and the problems that the generator hydrogen monitoring false alarm rate is high and positioning cannot be achieved are solved.

The invention discloses an ultraviolet partial discharge detection and prediction method and system based on a gallium nitride sensor, and relates to the technical field of semiconductor firmware production and detection. The system comprises a detection system body, and the detection system body comprises an intelligent sensing acquisition module, a signal conditioning and noise reduction module, a multi-dimensional feature extraction module, a mode recognition and classification module, a data management trend prediction module and a decision output man-machine interaction module. According to the invention, high-quality acquisition and conversion are carried out on ultraviolet sub-signals through the intelligent sensing acquisition module, the signal conditioning and noise reduction module adopts adaptive filtering and background noise deduction technologies to effectively suppress environmental radiation and electromagnetic interference, and the multi-dimensional feature extraction module comprehensively extracts signal features from a time domain, a frequency domain and a time domain. The mode identification and classification module utilizes a machine learning algorithm to distinguish real partial discharge and noise pulses, so that the detection accuracy is improved, and the defects of high false alarm rate and low signal-to-noise ratio caused by noise interference of a traditional system are overcome.

The invention discloses a domain controller automatic test scheduling method and system based on a hierarchical software architecture, and relates to the technical field of automatic test and industrial control, and the method comprises the steps: S1, constructing an automatic test system of the hierarchical software architecture which at least comprises a hardware drive abstraction layer and a test application layer, the hardware drive abstraction layer is used for uniformly packaging bottom layer drives of a board card, a signal conditioning module, a relay matrix and a power supply module in the test system, and providing a standardized interface irrelevant to specific hardware for the test application layer; according to the domain controller automatic test scheduling method and system based on the hierarchical software architecture, the comprehensive requirements of a new energy automobile power domain controller on high-efficiency, high-reliability and high-consistency automatic test in research, development, verification and mass production stages are better met.

The invention relates to the technical field of cable detection, and discloses a cable DC resistance detection and material identification method and system, and the method comprises the steps: constructing a four-wire system low-impedance electrical connection of a cable sample, compensating and correcting the path measurement precision through contact resistance, and obtaining an optimized electrical connection; monitoring a load state and performing closed-loop regulation on load impedance to obtain high-stability direct current; performing high-precision differential signal conditioning on the original voltage signal to obtain purified voltage data; deriving an initial resistance measurement value based on the purification voltage and the high-stability direct current, and performing system error compensation calibration on the initial resistance measurement value through a reference resistance comparison mechanism to obtain a calibrated direct current resistance value; obtaining material identification reference data according to a pre-stored mapping relation between the material and the resistance value in a material resistance database; the range attribution of the calibration direct-current resistance value in the material identification reference data is judged, and the material type is identified; according to the invention, the efficiency of cable DC resistance detection and material identification can be improved.

The invention belongs to the technical field of pipeline repair, and particularly relates to a nano conductive composite material pipeline repair layer health monitoring system and method based on a piezoresistive effect. The invention discloses a nano conductive composite material pipeline repair layer health monitoring system based on a piezoresistive effect. The system comprises a sensing layer, a data acquisition layer, a transmission layer, an analysis layer and an application layer, wherein the sensing layer is a graphene / carbon nanotube hybrid reinforced composite material pipeline repairing layer made of a self-sensing material; the data acquisition layer is used for acquiring signals and carrying out multi-channel acquisition, signal conditioning, A / D conversion and time synchronization; the transmission layer performs data communication through wired transmission / wireless transmission; the analysis layer performs data processing and algorithm processing including data preprocessing, trend analysis, damage identification and a positioning algorithm; and the application layer realizes user interaction and display, and performs visual interface, alarm push, operation and maintenance decision and report generation. The invention provides a nano conductive composite material pipeline repair layer health monitoring system and method based on a piezoresistive effect, and aims to solve the problems of no basis for conductive threshold design, insufficient monitoring sensitivity, incomplete system, indefinite alarm criterion, low positioning precision, low intelligent degree, high cost and the like in the prior art.

The invention relates to the technical field of current sensing and state monitoring, and discloses an anti-interference TMR current monitoring system based on multi-physics field coupling modeling. Comprising a TMR sensor optimization layout module, a TMR current monitoring module, a multi-physics field coupling module, a multi-physics field analysis module, a temperature compensation module, a high-frequency noise suppression module, a dynamic calibration module, an electromagnetic shielding enhanced anti-interference module, a signal conditioning and conversion module and a data output and communication module. MHz-level high-frequency current signal detection is realized, an electromagnetic-thermal-stress multi-physics field coupling model is established on the basis, and behaviors of a TMR sensor in a complex environment are simulated; then multi-physics coupling mechanism analysis, sensitivity matrix solving and structural parameter optimization are carried out through a temperature compensation coefficient formula, a self-adaptive LMS filtering algorithm formula and a multi-physics coupling error compensation formula so as to optimize sensor design and shielding measures, and finally packaging is carried out according to a set protocol.

Network elements and methods of use, including a transmitter comprising a client-side input, signal and clock conditioning blocks, a modulation block, and antennas. The client-side input receives baseband signals having client data. The signal conditioning block adjusts signal characteristics of the baseband signals to generate intermediate signals. The clock conditioning block receives a first clock signal having a first clock frequency and adjusts signal characteristics of the first clock signal to generate a second clock signal having a harmonic frequency of the first clock frequency. The modulation block modulates the intermediate signals onto the second clock signal to generate antenna feed signals. The antennas generate radiated signals based on the antenna feed signals and couple the radiated signals into hollow waveguides. The radiated signals are radiated electromagnetic waves configured for coherent detection with a transmission frequency in a range between 300 Gigahertz (GHz) and 10 Terahertz (THz).

The invention provides a coal mine water pump cavitation intelligent early warning method and system based on all-intrinsic-safety voiceprint collection, and relates to the technical field of voiceprint monitoring, and the method comprises the steps: collecting an original voiceprint signal of a coal mine water pump in real time through an intrinsic-safety voiceprint sensor array, carrying out the intrinsic-safety signal conditioning, obtaining a preprocessed digital signal, and transmitting the preprocessed digital signal to a computer; and carrying out noise reduction processing on the preprocessed digital signal to obtain a target digital signal, inputting the target digital signal into a voiceprint feature extraction model to obtain a cavitation early voiceprint feature vector, inputting the cavitation early voiceprint feature vector into a cavitation recognition model to obtain a cavitation confidence coefficient, and based on the cavitation confidence coefficient, carrying out noise reduction processing on the cavitation early voiceprint feature vector to obtain a cavitation early voiceprint feature vector. The technical problem that the accuracy of cavitation fault recognition is low due to the fact that an existing coal mine water pump cavitation monitoring scheme is generally difficult to achieve early discovery and accurate judgment of water pump cavitation faults in a complex underground environment is solved, and the water pump cavitation fault recognition method has the effect of improving the accuracy of water pump cavitation fault recognition.

The invention relates to the technical field of equipment control, in particular to an automatic control system and method for a pneumatic control valve, and the method comprises the steps that a displacement sensing module collects a valve element displacement signal through a magnetostrictive sensor and carries out Kalman filtering processing; the signal conditioning module fuses displacement and pressure data by adopting a fuzzy logic rule; the intelligent conversion module performs state identification by using a support vector machine algorithm; the communication gateway module realizes data protocol encapsulation and transmission; the state diagnosis module performs fault diagnosis based on a hidden Markov model; the digital twin module realizes simulation prediction through multi-domain physical modeling; the optimization decision module adopts a particle swarm optimization algorithm to generate a control instruction; and the closed-loop execution module drives the execution mechanism and feeds back displacement data. The problem that an existing pneumatic valve is insufficient in control precision due to lack of displacement feedback is solved, and real-time monitoring and high-precision closed-loop control over the position of the valve are achieved.

The utility model provides a circuit for setting current and voltage of a welding machine for a robot controller, and the circuit comprises a main control module which is used for outputting a PWM signal; the input end of the optocoupler isolation module is connected with the output end of the main control module, and the optocoupler isolation module is used for isolating the PWM signals output by the optocoupler isolation module; the input end of the signal conversion module is connected with the output end of the optocoupler isolation module, and the signal conversion module is used for converting the PWM signal output by the optocoupler isolation module into an analog signal; the input end of the operational amplification module is connected with the output end of the signal conversion module, analog signals output by the signal conversion module enter the operational amplification module in a differential input mode, and the operational amplification module conducts buffering isolation and signal conditioning on the analog signals.