6797results about How to "High measurement accuracy" patented technology

The invention discloses an inductive sensor calibration method, an inductive sensor calibration system, a medium and a product. The method comprises the following steps: acquiring a measured value data set of an inductive sensor to be calibrated and a measured value data set of a reference inductive sensor under a preset environment condition; performing difference operation on the measured value data set of the inductive sensor to be calibrated and the measured value data set of the reference inductive sensor to obtain a measurement deviation sequence; based on a preset environment condition and the measurement deviation sequence, determining an environment compensation coefficient under the preset environment condition; calculating calibration parameters of the inductive sensor to be calibrated according to the environment compensation coefficient; after the calibration parameters are applied to the inductive sensor to be calibrated, obtaining a standard measurement value of the reference inductive sensor and an actual measurement value of the inductive sensor to be calibrated under a preset environment condition; if the difference value between the standard measurement value and the actual measurement value is smaller than the preset error value, it is determined that calibration succeeds. By implementing the method, the calibration accuracy is improved.

The invention provides a wind measurement laser radar optical automatic calibration method and system based on reinforcement learning, and relates to the technical field of calibration, and the method comprises the steps: obtaining the initial state information and environment parameters of a wind measurement laser radar optical system, constructing a three-dimensional simulation model of the wind measurement laser radar optical system, performing a multi-field coupling simulation test on the three-dimensional simulation model to obtain wind measurement data and wind measurement error data under the current environmental condition, and constructing a mapping model of wind measurement errors and environmental parameters and wind measurement laser radar optical system state parameters; and inputting the wind measurement error data and the mapping model into a preset reinforcement learning model to obtain an optimal calibration parameter set in a current state, generating a calibration instruction of the wind measurement laser radar optical system according to the optimal calibration parameter set, and performing aberration correction by combining online wavefront detection and adaptive optical compensation to obtain a calibration result of the wind measurement laser radar optical system. And automatic calibration of the wind measurement laser radar optical system is completed.

The invention discloses a material-based laser scanning system and method, and relates to the technical field of industrial automation, and the system comprises the following components: a laser scanning unit, an environment sensing sensor group, a dynamic compensation and calibration module, a feedback control unit and a visual monitoring interface. According to the invention, the environment change of a scanning site is monitored in real time through the integrated environment sensing sensor group, and the laser scanning data is processed in real time by using an advanced dynamic compensation and calibration algorithm, so that the measurement deviation caused by environmental factors such as vibration, temperature change and dust interference can be effectively reduced; the measurement precision of laser scanning in complex environments such as a coal yard is remarkably improved, meanwhile, the stability of long-term measurement is ensured by continuously optimizing and calibrating model parameters and automatically adjusting laser scanning parameters, and reliable data support is provided for material management.

The invention discloses an intelligent temperature compensation method for a pressure sensor, and relates to the technical field of sensor equipment. Comprising the following steps: constructing a temperature response characteristic model, collecting temperature data in real time, loading a temperature compensation algorithm on the temperature data collected in real time, updating the temperature response characteristic model in real time, performing real-time temperature compensation correction in output of a pressure sensor, and establishing an error prediction and early warning mechanism. And carrying out adaptive optimization and long-term calibration on the temperature compensation method. According to the intelligent temperature compensation method for the pressure sensor, through temperature response characteristic modeling, a temperature compensation algorithm, real-time model updating and other methods, the measurement precision and long-term stability of the sensor in a complex environment are remarkably improved, and rapid temperature difference changes and nonlinear errors can be adaptively coped with. Meanwhile, it is ensured that the temperature compensation algorithm can be continuously optimized along with environment changes and sensor aging, high applicability and expandability are achieved, and technical guarantee is provided for application of the sensor under severe working conditions.

The invention provides a wind turbine generator array wake flow management method and system for Doppler laser wind measurement, and relates to the technical field of laser, and the method comprises the steps: collecting the real-time wind speed data, wind direction data and turbulence intensity data of each generator in the front and back direction through deploying a Doppler laser radar in a wind turbine generator array; establishing a wake flow influence model containing a wake flow influence coefficient, an attenuation coefficient and a diffusion coefficient based on the data, and calculating to obtain a wake flow influence range, loss power and a recovery distance; according to the method, the wind turbine generator array is cooperatively controlled, and the power generation efficiency of the wind turbine generator array is optimized by adjusting the yaw angle or the pitch angle of the upstream unit and the rotating speed of each unit. The wind speed data acquisition precision of the wind field is improved, the wake flow influence evaluation accuracy is enhanced, and the overall power generation efficiency of the wind field is remarkably improved.

The invention relates to the technical field of electric energy metering, in particular to an intelligent correction method, device and equipment for charging pile electric energy metering and a medium, and the method comprises the steps: collecting the current and voltage of the output end of a charging pile, and decomposing the characteristics of a current signal into a DC signal and an unsteady state signal; respectively carrying out electric energy metering on the direct-current signal and the unsteady-state signal, and adding the electric energy to obtain a preliminary electric energy metering result; establishing a temperature error correction model; establishing a self-adaptive correction model; and correcting the initial electric energy metering result through a temperature error model, a self-adaptive correction model, the obtained charging electric energy data recorded by the electric vehicle and the obtained standard load electric energy metering result in the charging pile to obtain a final electric energy metering result. The charging pile electric energy metering result can be intelligently corrected, the fault report rate of electric energy metering is reduced, the regular checking period is prolonged, the service life of an electric energy metering module electronic component in the charging pile is prolonged, and the metering precision is improved.

The invention discloses a weighing sensor test compensation method based on fuzzy recognition, and relates to the technical field of sensor test compensation, and the method comprises the following compensation steps: inputting an original reading of a weighing sensor into a calculation module, and outputting a final compensated reading by the calculation module. According to the invention, the influence of various environmental factors such as ground flatness, power supply stability, temperature, humidity, air pressure, altitude and the like on reading is comprehensively considered, preliminary compensation and comprehensive compensation based on position and time are realized, and the adaptability and measurement precision of the weighing sensor under different environmental conditions are remarkably improved; a vibration correction coefficient is introduced to effectively compensate the influence of vibration on reading, the direct influence of vibration strength is considered, the compensation strength is dynamically adjusted through a modulation factor, the compensation effect is more accurate and effective, automatic adjustment and optimization of compensation parameters can be achieved, and the method is suitable for large-scale popularization and application. Therefore, the weighing sensor can automatically adapt to a complex and changeable measurement environment.

The invention relates to a fuel cell test system integrated with an electrochemical alternating current impedance test function, which comprises a fuel cell stack, an air supply unit, a fuel supply unit, a cooling supply unit, a control unit, an acquisition and driving unit and an electrochemical impedance measurement system, the output ends of the air supply unit, the fuel supply unit and the cooling supply unit are connected with the fuel cell stack, the acquisition and driving unit is connected with the fuel supply unit, the control unit is connected with the acquisition and driving unit, and the electrochemical impedance measurement system is connected with the fuel cell stack and the control unit. By adopting the fuel cell test system, method and device integrated with the electrochemical alternating-current impedance test function, the processor and the computer readable storage medium, rapid measurement and impedance calculation of electrochemical impedance in a fuel cell stack test process are realized, the integration level is high, the cost is greatly reduced, the operation is simple, and the test efficiency is high. Errors caused by repeated setting of load parameters are avoided, the measurement efficiency is high, and the measurement precision is high.

The invention provides an intelligent optimization control method and device for a mold cooling system, and relates to the field of intelligent optimization control devices. The intelligent optimization control device based on the mold cooling system comprises a hardware part, a software control system, a model calculation module and an optimization algorithm, the hardware part comprises a temperature sensor, a flow sensor, a controller, a cooling liquid pump, a cooling loop and an actuator, the software control system is used for receiving and processing real-time data from the sensors, and the model calculation module is used for calculating the model calculation module according to the real-time data. The model calculation module is used for analyzing temperature and flow changes in the cooling process. High-precision and low-delay temperature and flow sensors are utilized, and sensor data are corrected in real time through an error correction module, so that the measurement precision and the response speed are greatly improved, and the problem that the precision and the response speed of the sensors are limited is solved.

The invention discloses a conductivity measurement compensation method and system based on temperature field distribution modeling, and the method comprises the following steps: 1), building a to-be-measured medium temperature field model which is used for describing the temperature distribution in a medium; 2) establishing a conductivity temperature compensation model; 3) coupling the temperature field model and the conductivity temperature compensation model, and establishing a conductivity measurement compensation equation; 4) solving the conductivity measurement compensation equation to obtain compensated conductivity distribution; and 5) receiving data of the temperature sensor in real time, dynamically updating boundary conditions and initial conditions of the temperature field model, inputting temperature field distribution obtained by calculation into the conductivity compensation model, and compensating a conductivity measurement result in real time. According to the method, the influence of the temperature change on the conductivity is more accurately compensated by simulating the temperature distribution of the medium, the method adapts to the environment condition of rapid change, and the measurement precision of the conductivity can be obviously improved in the scene of large temperature gradient or rapid change.

The invention relates to the technical field of three-dimensional measurement, and discloses a structured light three-dimensional detection system, method and device based on optical phased array coding, the structured light three-dimensional detection system comprises an optical phased array module, an acquisition module and a control module, the control module is connected with the optical phased array module and the acquisition module, and the optical phased array module is connected with the acquisition module and the control module. The optical coding module is used for performing phase regulation and amplitude regulation on the optical signal based on a preset regulation instruction to generate an optical coding pattern, and projecting the optical coding pattern to the surface of the to-be-measured object, so that the to-be-measured object reflects the optical coding pattern to generate reflection coding light; the acquisition module is used for acquiring the reflection coding light to obtain a reflection coding pattern; and the control module is used for generating a preset regulation and control instruction, decoding the reflection coding pattern, extracting a coding value and calculating feature information of the to-be-measured object based on the coding value. The problem that the structure light source cannot be adjusted can be solved, and the flexibility and controllability of three-dimensional detection are improved.

The invention discloses a high-speed target measurement method and system based on an unmanned aerial vehicle pod and a calibration target. The method comprises the following steps: calibrating a binocular camera to obtain camera internal parameters; a plurality of calibration targets are arranged in the measurement field, a high-speed target motion image and a calibration target image are shot respectively, and unmanned aerial vehicle pod information is obtained in real time and recorded in an image frame header; calculating camera external parameters used by the current image frame based on the pod information, and correcting the camera external parameters based on the calibration target image; and analyzing the motion parameters of the high-speed target based on the camera internal parameters, the corrected camera external parameters and the high-speed target motion image. According to the method, pod information is collected in real time and recorded in an image frame header, camera external parameters used by a current frame can be calculated, and pod external errors caused by movement of the unmanned aerial vehicle are eliminated; the target information is used to correct the external parameters of the camera, and the displacement change of the camera relative to the pod is converted to a coordinate level, thereby reducing the influence of the jitter of the shooting equipment on the measurement result, and achieving the purpose of improving the measurement precision.

The invention discloses a seabed sand excavation pit slope change monitoring method, system and device and a medium. The method comprises the steps that a seabed pipeline distribution diagram for generating a target seabed sand excavation area is formulated; generating a plurality of side slope units in the target seabed sand excavation area according to the collected side slope topographic data; taking each side slope unit as a basic unit, obtaining a side slope disaster susceptibility evaluation index and a side slope disaster risk evaluation index, and carrying out risk calculation to obtain a corresponding disaster risk evaluation result; acquiring position data of each side slope unit, associating the submarine pipeline distribution map with the side slope units based on the position data of each side slope unit and the corresponding disaster risk evaluation result, and generating a side slope pipeline risk distribution model; based on the slope topographic data and disaster risk evaluation results of each slope unit in different data acquisition periods, obtaining a slope change trend of the target seabed sand excavation area; the effect of improving the change monitoring efficiency of the seabed sand excavation pit slope is achieved.

The embodiment of the invention provides a differential Hall current sensor and a manufacturing method thereof, and belongs to the technical field of semiconductors. The differential Hall current sensor includes: a substrate; the magnet yoke is provided with a semi-enclosed structure formed by a bottom surface and two side surfaces positioned on the same side of the bottom surface, and the bottom surface is bonded on the substrate; the current bar is placed in the cavity of the semi-surrounding structure and allows two end parts of the current bar to extend out of the semi-surrounding structure; the insulating layer is arranged on the upper surface of the current bar and located in the cavity; the at least two Hall elements are symmetrically arranged on the two sides of the upper surface of the insulating layer in the current direction; the at least two groups of magnetism gathering blocks are attached to the magnetic induction surfaces of the at least two Hall elements; at least two groups of magnetism gathering blocks and the magnet yoke form a conducting magnetic circuit, and the magnetic field component of the current magnetic field in the parallel direction of the magnetic induction surface is deflected into the magnetic field component in the vertical direction. According to the differential Hall current sensor, the Hall perceptible magnetic field intensity is enhanced through the conduction magnetic circuit of the gathered current magnetic field, and the measurement sensitivity is improved.

The invention relates to a flexible electrochemical pH sensor as well as a preparation method and application thereof. Wherein the flexible electrochemical pH sensor comprises a flexible nanofiber substrate as well as a working electrode and a reference electrode which are arranged on the surface of the flexible nanofiber substrate at an interval, the working electrode comprises a first working part and a first wire part connected with the first working part, and the first working part is provided with a polyaniline sensitive layer. The flexible electrochemical pH sensor has the characteristics of high sensitivity, good flexibility and good air and moisture permeability, can be tightly attached to the surface of skin to monitor the pH value of body fluid, and is high in monitoring accuracy and simple in manufacturing method.

The invention provides a method for testing the dynamic strain of the surface of a rotating body in an electromagnetic environment. The method comprises the following steps: constructing a bridge by using strain gauges and acquiring dynamic characteristic data of the rotating part under actual constraint conditions; performing simulation calculation according to the dynamic characteristic data, and determining the optimal pasting position of the strain gauge; pasting a strain gauge and formulating a wiring scheme of a strain gauge wire; the strain gauge is connected with a voltage signal amplifier, the amplified signal is connected with a data acquisition system through a conductive slip ring, and the amplified strain signal is recorded and processed; acquiring strain signals in real time and taking the strain signals as test data, and performing whole-course test in a full-rotating-speed range to complete dynamic strain test on the surface of the rotating body. The system has high sensitivity, the sensitivity and the measurement precision of the system are improved through full-bridge configuration, larger output signals are provided, the full bridge can achieve temperature compensation through symmetrical circuit design, and the system has good linear output characteristics and facilitates signal processing and analysis within the strain range.

The invention discloses a sensitivity compensation method and system based on a TMR sensor. The method comprises the steps that a temperature compensation circuit introduces a negative temperature coefficient temperature sensitive resistor to be connected with a TMR current sensor in series; a fitting compensation technology is used, the corresponding relation between the temperature and the sensitivity of the sensor is accurately measured, data fitting is carried out through a least square algorithm, and a mapping curve of the temperature and the sensitivity is obtained; constructing and training a neural network model for learning and simulating a complex mapping relationship between environmental factors of a space geomagnetic field and temperature and measurement output of the TMR current sensor; and performing real-time correction compensation on the original output signal of the TMR current sensor by using the trained neural network model according to the environment temperature information acquired by the upper computer in real time and the correction factor predicted by the model. Through a unique compensation mechanism and an optimization algorithm, the accuracy of current signal acquisition and the stability of the system are remarkably improved, and the influence of environmental factors is reduced.

The invention discloses a low-cost dual-drive self-calibration dust concentration on-line monitoring system and a monitoring method. According to the system, a dust concentration monitoring assembly comprises an oscillating balance dust continuous tester and a plurality of low-cost dust monitors; the coal mine information processing center is respectively connected with the oscillating balance dust continuous tester and the low-cost dust monitor; the visual client is connected with the central processor through a third communication module. The method comprises the following steps: carrying out on-line monitoring operation by utilizing multiple groups of dust concentration monitoring assemblies; performing self-calibration on dust concentration data of the low-cost dust monitor by using a physically-driven prediction model; performing secondary real-time calibration on the dust concentration data of the low-cost dust monitor by using a data-driven machine learning calibration model; and generating a mine whole area dust distribution cloud picture by using the mine whole area dust distribution cloud picture unit, and sending the mine whole area dust distribution cloud picture to the visual client for real-time display. According to the system and the method, high-precision monitoring of the dust concentration can be realized on the basis of greatly reducing the monitoring cost.

The invention discloses a monocular vision pose measurement method and system based on a circular feature target spot, and the method comprises the following steps: camera calibration, image collection, image preprocessing, and feature point detection and matching: employing Hough circle detection to extract the center two-dimensional pixel coordinate and radius of the circular feature target spot, obtaining a uniquely determined relationship between the feature target spots according to the circle center coordinates and the radius information; performing pose measurement, and obtaining a rotation matrix R and a translation vector T which are converted from a target coordinate system in each collected pose image to a camera coordinate system according to a PnP algorithm; and solving the relative pose. According to the method, a specially designed cooperative target containing five circular characteristic target spots is used as a target object, and a rapid detection algorithm realized according to target characteristics is combined, so that circle center matching sorting is realized, and the precision is improved. The method has the advantages of being simple in structure, simple in camera calibration, large in measurement view field, high in real-time performance and the like, and meanwhile the defects that the view field is small and stereo matching is difficult in stereo vision are overcome.

The invention provides a structural deformation monitoring method and system based on binocular vision and coordinate transformation, and the method comprises the steps: carrying out the calibration of a binocular stereoscopic vision left camera and a binocular stereoscopic vision right camera based on a calibration plate, and obtaining a plurality of calibration plate images of the calibration plate under different postures; collecting a target structure image based on a binocular stereoscopic vision camera; calibration parameter calculation is carried out based on the plurality of calibration plate images, and a rigidity conversion matrix when the calibration plates coincide with the target structural surface is obtained; coordinate transformation is carried out on the measuring points of the target structure image based on the stiffness transformation matrix; and calculating in-plane displacement and out-of-plane displacement of the target structure based on the converted three-dimensional coordinates. According to the method, the 2D checkerboard target is utilized, the three-dimensional world coordinate system located on the left camera system is converted into the three-dimensional world coordinate system on the structural surface through coordinate conversion, the morphological characteristics and displacement information of the structural surface are more visually shown, the calculated amount is small, the precision is high, the distance measuring range is large, and the cost is low.

The invention discloses a load measuring device for a mining elevator, and relates to the technical field of elevators. The device comprises a device body, information modules are arranged on the front face and the back face of the device body, alarm assemblies are arranged on the peripheries of the information modules and arranged on the outer wall of the device body, four electric hydraulic rods are fixedly installed at the corners of the bottom of the inner wall of the device body, and each electric hydraulic rod is composed of a fixed end and a telescopic end; every two of the four electric hydraulic rods form one set, and the two sets of electric hydraulic rods are symmetrically distributed with the device body as the axis. When an electric hydraulic rod has a falling phenomenon, the higher the falling speed is, the larger the deformation resistance of a reset piece is, meanwhile, the falling phenomenon is further slowed down and stabilized through multiple times of abutting limiting between a T-shaped arc plate and a semi-arc block, and the situation that due to uneven gravity distribution, the elevator collapses, and consequently equipment damage is caused is prevented; and certain danger to workers is avoided.

The invention discloses a follow-up type superhard grinding wheel outer circle reciprocating grinding force measuring device and method, relates to the technical field of grinding machining, and solves the problem that grinding force follow-up measurement in a reciprocating grinding mode cannot be achieved in grinding force measurement in the prior art. The device comprises a driving tool, wherein the driving tool is used for clamping one end of a workpiece and driving the workpiece to rotate; a Z-axis moving assembly is fixedly arranged on the driving tool, a moving supporting table is arranged at the moving end of the Z-axis moving assembly, and the Z-axis moving assembly can drive the moving supporting table to move in the axial direction of the workpiece. A tangential telescopic measuring mechanism and a normal telescopic measuring mechanism which are perpendicular to each other are arranged on the movable supporting table, and the tangential telescopic measuring mechanism and the normal telescopic measuring mechanism can be in contact with the outer wall of the workpiece on the same normal plane perpendicular to the axis of the workpiece to measure force; the driving tool is adjustably provided with a Z-axis force measurement supporting tip, and the Z-axis force measurement supporting tip can be matched with the other end of the workpiece. Grinding force measurement in the reciprocating grinding machining process is achieved, and the grinding process can be monitored timely and accurately.

The invention discloses a beam information on-line measurement method based on a steady-state forward voltage vector relation principle. The beam information on-line measurement method comprises the following steps: measuring a cavity incident signal Pf of a radio frequency cavity on line to obtain an original forward voltage Vf * of the radio frequency cavity; performing calibration and normalization processing on the original forward voltage Vf * to obtain a forward voltage Vf; scaling the forward voltage Vf to obtain a standardized forward voltage Uf; based on the standardized forward voltage Uf0 and Uf1 under two conditions of no beam current and beam current, respectively calculating steady-state mean values UF0 and UF1; obtaining a steady-state beam equivalent voltage VB based on the steady-state mean values UF0 and UF1; and based on the steady-state beam current equivalent voltage VB, the beam current intensity IB and the beam current synchronous phase # imgabs0 # in the steady state are obtained. Therefore, the device can be completely deployed in an FPGA chip, and beam information on-line real-time measurement can be realized at the sub-microsecond magnitude.

The invention discloses a tracking processing method for a baseband signal of a receiver, which comprises the following steps of: firstly, performing frequency correction through a frequency-locked loop, and performing phase correction through a phase-locked loop to realize accurate synchronization of carrier frequency and phase; then bit synchronization processing and incoherent integration are carried out, and the output signal-to-noise ratio of the loop and the measurement precision of the code phase are improved; and finally, the local pseudo-random code generator generates a local pseudo-random code, then the local pseudo-random code generator outputs three paths of pseudo-random codes which are mutually delayed by half a chip, namely a lead code, a real-time code and a lagging code, correlation values of the three paths of pseudo-random codes are obtained, a code phase error is obtained by calculating the correlation value difference of the lead code and the lagging code, and the local pseudo-random code is obtained. And after the code phase error is processed by a loop filter, an adjustment amount of a digital control oscillator is generated, so that the phase of the local pseudo-random code is adjusted. According to the invention, continuous adjustment of the digital control oscillator of the local carrier and the pseudo-random code is realized, so that correct navigation data information is demodulated for positioning calculation.

The invention provides a standard sheet and a manufacturing method thereof, a semiconductor material defect correction method and a measurement equipment correction method, and belongs to the field of semiconductors. The semiconductor material defect correction method comprises the following steps: providing a standard sheet, and obtaining scattering signal intensity corresponding to standard particles of each size so as to establish a function relationship between the scattering signal intensity and the particle size; and acquiring the scattering signal intensity of the defective particles of the semiconductor material, and acquiring the correction size of the defective particles based on the function relationship. And obtaining the target size of the semiconductor material defect particles. According to the invention, a standard sheet with standard particles is manufactured, and then a function relationship between scattering signal intensity and particle size is established. And finally, acquiring the scattering signal intensity of the defective particles of the semiconductor material, and acquiring the correction size of the defective particles based on the function relationship. Therefore, the target size and the corrected size can be compared and corrected, and the accuracy of defect detection is improved.

The invention discloses a water conservancy project dam detection method and device based on an unmanned aerial vehicle and a medium, belongs to the technical field of water conservancy project dams, and aims to solve the problems that an existing water conservancy project dam often depends on manual inspection, the detection efficiency is low, the labor cost is high, missing detection and misjudgment are likely to occur, and the detection efficiency is high. And intelligent monitoring and early warning of dam risks are not facilitated. The method comprises the steps of collecting a real-time detection image of a dam based on a preset unmanned aerial vehicle flight plan; performing risk identification processing related to dam main body characteristics on the real-time detection image to obtain dam main body characteristic information; through preset dam laser radar data, carrying out calculation processing related to dam appearance characteristics on the real-time detection image to obtain dam appearance characteristic information; and according to the reflectivity data of the preset multispectral image, carrying out index judgment processing on dam environment characteristics on the real-time detection image to obtain dam environment characteristic information.

The invention discloses a handheld three-dimensional scanning system based on visible light, which belongs to the technical field of electronic scanning and comprises a calibration module, a self-adaptive adjustment module, a three-dimensional scanning module and a storage module. The calibration module is used for calibrating the three-dimensional scanner by using a known reference object; the self-adaptive adjustment module is used for automatically optimizing scanning parameters according to the material and surface characteristics of a target object so as to adapt to the surface characteristics of different materials; the three-dimensional scanning module obtains a multi-angle reflection image of the surface of a target object in real time, recognizes geometric information of the surface of the target object in the image, constructs a three-dimensional surface model of the target object, reduces an error between the model and the target object through fusion of the multi-angle image, improves the precision of the three-dimensional model, and improves the accuracy of the three-dimensional surface model. The texture information of the target object is captured, and the vivid effect of the model is enhanced; the storage module is used for storing data generated in the scanning process and establishing an efficient data index according to the stored data.

The invention discloses an impedance measurement method based on a KAN neural network and a continuous disturbance injection device, and relates to the technical field of power grid operation analysis, and the method comprises the following steps: S1, setting disturbance parameters in the continuous disturbance injection device, and accessing the continuous disturbance injection device; s2, continuously injecting disturbance signals, and acquiring response voltage and response current of a grid-connected point of the to-be-tested system; s3, calculating an impedance amplitude and a phase under the current disturbance frequency based on a frequency spectrum identification algorithm of a KAN neural network; s4, impedance calculation of the next frequency point is carried out until the total number of disturbance injection times is reached, and measurement of the impedance of the system to be measured is completed; and S5, displaying impedance calculation results under different frequencies in a visualized manner. By adopting the KAN neural network, the precision and stability of impedance measurement in the power system are remarkably improved, and the anti-noise performance and the non-linear signal processing capacity are enhanced.

The invention relates to the technical field of mining dust concentration monitoring, in particular to a mining dust concentration monitoring system and method, and the system comprises a dust sensor module, a signal amplification and filtering module, an analog-to-digital conversion module and a data processing and monitoring module; the dust sensor module is used for detecting the dust concentration in an underground coal mine and adopts a multi-mode detection mode combining electrostatic induction and optics; the signal amplification and filtering module comprises a low-noise amplifier and a self-adaptive filtering circuit, the multi-mode sensor is combined with the automatic temperature compensation and self-adaptive filtering technology, the measurement precision and the signal stability of the concentration of tiny dust in a complex environment are greatly improved, meanwhile, the temperature compensation function is introduced, and the measurement precision is improved. And by combining a nonlinear compensation algorithm, a dynamic response adjustment mechanism and a multivariable compensation system, the stability and precision of signal amplification in a complex underground coal mine environment are remarkably improved.

The invention relates to the technical field of battery management systems, and provides a battery parameter real-time monitoring system based on monomer sampling, which comprises a main control chip and a plurality of monomer sampling chips, and each monomer sampling chip is attached to the negative electrode end of a battery and is used for monitoring battery parameters in real time; each single sampling chip comprises an internal resistance monitoring unit with a built-in internal resistance prediction model and a temperature monitoring unit with an internal temperature prediction model. According to the invention, real-time online monitoring of the single battery is realized through the single sampling chip, and abnormal values of the temperature and internal resistance of the battery are pre-warned to monitor the thermal runaway or aging phenomenon of the battery; furthermore, a software algorithm is built in a single sampling chip to compensate and predict the internal temperature of the battery and the monitored internal resistance abnormal value of the battery according to the monitored external temperature, so that measurement errors caused by complex influence factors are eliminated, the measurement precision is improved, and the hardware cost is reduced; and the measurement data transmission precision is improved through double-line daisy chain or Bluetooth communication connection.