5755 results about "Measurement precision" patented technology

The invention discloses a high-temperature airflow two-dimensional temperature field and velocity field synchronous measurement system and method based on laser-induced phosphorescence, and the system comprises phosphorescence particles, a low-frequency double-pulse laser, an image collection device, a synchronous controller, and an image processing device. The image processing device analyzes the gray intensity ratio of different wave band images acquired by the two PIV cameras at the same time, and combines a temperature response function calibrated by an experiment to realize inversion of a temperature field; meanwhile, a double-frame time-resolved image acquired by any PIV camera is subjected to cross-correlation calculation, particle displacement is extracted, and then a velocity field is reconstructed. According to the invention, synchronous acquisition of temperature and speed based on the same data source is realized, and the system has the remarkable advantages of simple structure, high measurement precision and wide application environment.

The embodiment of the invention discloses a multi-mode adaptive industrial instrument intelligent control system based on deep learning, and relates to the technical field of industrial instrument intelligent systems. The system comprises a multi-modal data acquisition module used for acquiring multi-modal data of an industrial instrument in real time, the multi-modal data comprising at least two of image, sound, temperature and vibration data; the heterogeneous data fusion module is used for carrying out space-time alignment and feature fusion on the multi-modal data; the deep reinforcement learning control module is used for dynamically optimizing a control strategy and generating a control instruction; the self-adaptive human-computer interaction interface is used for providing visual operation and real-time feedback; and the predictive maintenance subsystem is used for predicting faults and generating maintenance suggestions based on the equipment state. The multi-modal data fusion technology of dynamic weight distribution is adopted, the problem that a traditional single sensor loses efficacy under the complex working condition is solved, and the performance of an industrial instrument in the aspects of measurement precision, self-adaptability and operation and maintenance efficiency is improved.

The invention relates to the technical field of vision, in particular to an object monitoring method based on a multi-camera joint calibration technology and a monitoring camera thereof. The method comprises the following steps: driving all cameras to synchronously shoot a calibration reference object with known geometric characteristics, and solving internal and external parameters of each camera and an accurate space pose relationship between the internal and external parameters by utilizing shot images to form a joint space relationship chain; controlling the camera array to synchronously shoot a target object, and correspondingly converting the two-dimensional image points acquired by the cameras into spatial point coordinates in a unified three-dimensional coordinate system by using the joint spatial relation chain to generate three-dimensional point cloud data of the target object; and processing the generated three-dimensional point cloud data, extracting key geometric features of the target object in real time, performing comparative analysis on the extracted features and a preset standard or a historical state, and outputting a state monitoring result of the target object. According to the invention, the influence of temperature drift and mechanical vibration on the measurement precision is effectively suppressed, and the stability of long-term monitoring of an industrial field is guaranteed.

The invention relates to an intelligent self-adaptive gas sensor adjustment controller and a working method thereof, and belongs to the technical field of gas detection. The adjustment controller comprises a main control module, a gas detection module, an environmental parameter module, an adjustment execution module, a communication module and a power management module, the main control module compensates detection parameters obtained by the gas detection module according to environmental parameter information obtained by the environmental parameter module in combination with built-in standard parameters and a compensation algorithm, and the adjustment execution module performs adjustment according to the compensation parameters. And whether the calibration execution module is started to calibrate the gas detection module is determined by judging the output stability of the gas detection module. According to the control method of the adjustment controller, through intelligent and self-adaptive adjustment control, the measurement precision, stability and applicability of the gas sensor are remarkably improved, and a reliable solution is provided for gas detection in a complex environment.

The invention relates to wide-range multi-component sensor calibration equipment and a wide-range multi-component sensor calibration method. The method comprises the following steps: firstly, checking equipment parts and setting a target temperature range and a compensation model of each temperature interval; then, dynamic temperature control is started, jig deformation is monitored in real time, a transient temperature gradient suppression technology is applied, multi-physical-quantity calibration is executed, and a compensation measurement value is output; then setting multi-environment coupling calibration test conditions to simulate actual working conditions, and monitoring and recording calibration data of each physical quantity; and finally, calculating a calibration error by combining a calibration result and a reference standard value. According to the process, by precisely setting parameters and combining dynamic control, real-time monitoring and multi-physical-quantity calibration, the transient temperature gradient influence is effectively inhibited, and the measurement precision of the sensor in a complex environment is ensured; the temperature control performance is improved through the micro soaking film and the intelligent temperature control strategy, the actual working condition is simulated through multi-environment coupling testing, the accuracy and reliability of the calibration result are remarkably improved through compensation and error calculation, and guarantee is provided for precise application of the sensor.

The invention relates to the technical field of fluid measurement, in particular to a multimode signal fusion and self-adaptive processing ultrasonic flowmeter and a measuring method. The multimode signal fusion and self-adaptive processing ultrasonic flowmeter comprises an ultrasonic transducer, a signal generation driving module, a signal receiving and conditioning module, a control module, a signal processing module, a signal quality evaluation module and a sound velocity calculation and compensation module. According to the method, the time difference method and Doppler method signals are fused, the self-adaptive processing strategy is adopted to improve the measurement precision of the low-flow-velocity fluid and the impurity-containing fluid, the measurement precision of the low-flow-velocity fluid can be remarkably improved, the adaptability to complex fluid is enhanced, the overall measurement reliability is improved, the Doppler method precision is optimized, and the intelligent degree is high.

The invention relates to the technical field of ground resistance detection, in particular to a single-core cable ground resistance detection method capable of resisting strong power frequency interference. High-frequency signals are injected in a non-contact mode through a coupling type capacitor clamp, background voltage and current signals are collected firstly, and injection frequency far away from power frequency and harmonic waves is selected through Fourier analysis; cancelling background noise by adopting a normalized least mean square adaptive filter to generate an enhanced signal; the signal is down-converted to a base band through digital quadrature demodulation, a Kalman filter estimates the amplitude and the phase in real time, and the state and noise parameters are periodically calibrated through a compressed sensing algorithm; and finally, loop impedance is calculated according to the voltage and current amplitudes and the phase difference to obtain grounding resistance. The method has the advantages of being non-contact, high in safety, strong in anti-interference capability, high in measurement precision and the like, and is suitable for monitoring the grounding state of the cable in a complex electromagnetic environment.

The invention discloses a pulse eddy current signal late period slope feature extraction method and system based on segmentation fitting, and belongs to the technical field of nondestructive testing. The method comprises the following steps: performing logarithmic transformation and filtering processing on a to-be-detected eddy current signal; intercepting a characteristic signal segment based on the filtering signal; dividing the feature signal segment into a plurality of sub-segments, performing piecewise linear fitting, determining a linear segment, and extracting a slope as a feature value; repeating the steps to obtain characteristic values of the test pieces with different thicknesses, performing curve fitting according to the characteristic values of the test pieces with different thicknesses and the corresponding thicknesses, and calculating a fitting error; and finally, iteratively optimizing the division number of the sub-segments by taking the minimum fitting error as a target. Through adaptive filtering, segmentation fitting and an intelligent optimization algorithm, the anti-interference performance, the linearity and the measurement precision of pulse eddy current signal feature extraction are remarkably improved, and efficient and reliable thickness detection of the high-temperature and high-pressure industrial pipeline under the condition that a heat preservation layer does not need to be disassembled is achieved.

The invention provides a multichannel gas ultrasonic flowmeter, which relates to the technical field of flow measurement and comprises a hardware layer and a software layer, the hardware layer comprises a pipeline, a connecting mechanism, a multichannel ultrasonic transducer, a pressure sensor, a temperature sensor, a wiring terminal box and a control box with an LCD display screen; the software layer comprises a data acquisition module, a preprocessing module, a multichannel speed measurement module, a data fusion module, a dynamic parameter compensation module, a flow calculation module, a man-machine interaction module, a communication module and a storage module. Pipeline section flow velocity information is collected through a multichannel ultrasonic transducer array, and a complex flow state is fitted in combination with a weighted fusion algorithm; the flow is dynamically compensated and corrected based on pressure and temperature; reliable operation of the system is guaranteed by means of hardware redundancy and a software verification diagnosis mechanism, the problems that a traditional flowmeter is low in measurement precision and poor in working condition adaptability are solved, and high-precision and stable gas flow measurement is achieved.

The invention relates to the technical field of electrical measurement, and discloses an electrical measurement instrument dynamic calibration error compensation method, which comprises the following steps: S1, multi-source data real-time acquisition: integrating a temperature sensor, a humidity sensor and an electromagnetic interference detection module in a measurement instrument, configuring voltage, current, frequency and other measurement channels, and carrying out multi-source data real-time acquisition at the frequency of not less than 100HZ; environmental parameters (temperature T, humidity H and electromagnetic interference intensity E) and measurement data (model characteristic parameters X1, X2,..., Xn such as voltage, current and frequency) are synchronously acquired. According to the electrical measuring instrument dynamic calibration error compensation method, through multi-source data real-time acquisition and composite error model construction, in combination with multiple linear regression and an improved BP neural network, environment and measurement signal changes are comprehensively captured, an error compensation value is accurately calculated, a measurement error can be effectively controlled within an extremely small range, and the error compensation accuracy is improved. Compared with a traditional method, the measurement precision is greatly improved.

The invention relates to the technical field of machine vision, in particular to a precision part size automatic detection method and system based on machine vision, precision part images are collected through a high-precision industrial camera, part positioning is carried out, sub-pixel-level topological feature mapping is carried out on interested area images, and precision part size automatic detection is carried out. Comprising the steps of gray histogram equalization, gray morphological processing, edge detection and edge chain code tracking, construction of an edge point topological feature space, execution of sub-pixel subdivision, obtaining of an edge line through contour analysis of a feature distance and a feature angle, and double-constraint geometric reconstruction based on the edge line. The characteristic distance and the characteristic angle are used for rotation matrix conversion and geometric dimension calculation, a relation model of the geometric dimension and the actual dimension of the part is established, precise part dimension measurement is achieved through dynamic error analysis and compensation, the measurement precision is remarkably improved, the risk caused by unreliability of a single characteristic is effectively reduced, and the measurement accuracy is improved. And the measurement stability is improved.

The invention discloses an optical imaging and coding hole technology fused optical imaging system and method, and aims to integrate scattered polarization components in a reflected light signal into coding light field data with clear layers by constructing a polarization coding modulation system, so as to highlight a coupling relationship among optical elements. A refocusing sequence and a focal plane chromatography technology are adopted, spatial geometric information and light intensity distribution characteristics of different depth layers are fully excavated, and a three-dimensional distribution rule of surface topography is disclosed; wavefront correction and deformable mirror control technologies are introduced, imaging parameters of an optical system are adjusted in a self-adaptive mode, and the application range of measurement precision is expanded; light intensity modulation analysis and phase unwrapping window processing are combined, the change trend of the surface curvature is depicted, and key feature points of morphology measurement are grasped; finally, multi-dimensional and multi-level optical measurement information is fused, three-dimensional measurement output with rich content and reliable precision is formed, and comprehensive and high-quality measurement technology resources can be provided for application scenes such as precision optical detection and surface quality evaluation.

The invention relates to the technical field of detection, in particular to a complex shell detection method and system based on structured light scanning. The method comprises the following steps: calculating a wrapped phase value and a phase modulation amplitude of each pixel point under each frequency, calculating discrete probability distribution containing candidate stripe series and a corresponding probability for each pixel point based on a multi-frequency wrapped phase difference, generating an initial pixel confidence map, and constructing an energy function; the penalty weight of the smooth item is determined according to the phase modulation amplitude and the wrapped phase gradient local variance, obtaining an initial fringe order distribution diagram, updating discrete probability distribution by using an initial pixel confidence map, re-minimizing an energy function to obtain a corrected fringe order distribution diagram, and reconstructing a final three-dimensional shape. And iteratively optimizing a projector principal point and a radial distortion coefficient in system calibration parameters. According to the scheme, the geometric details of the surface can be reserved, and the processing effect and the measurement precision of the complex curved surface and the high-curvature area are improved.

The invention discloses a detection method of an ocean magnetic field sensor based on a diamond NV color center. The detection method comprises the following steps: S1, calibrating a base line; s2, alternately measuring fluorescence between two single quantum resonance frequencies, and obtaining a difference to realize DQ reading; s3, three-axis compensation current is adjusted based on closed-loop control, and the NV working point is maintained at zero magnetization bias; s4, obtaining background magnetic field change through digital demodulation and adaptive filtering; and S5, calculating a gradient based on the spatial difference of the multi-point light spots, judging the existence and trajectory of the underwater vehicle in combination with a threshold value and a spectrum matching method, calibrating the threshold value according to the magnetic field characteristics of the existing underwater vehicle, adopting short-time Fourier transform signal spectrum, comparing the threshold value with known submarine characteristic spectrum data, and prompting if the similarity exceeds a set threshold value. According to the detection method, the measurement precision and the anti-interference capability can be improved, and the method is suitable for real-time monitoring of weak magnetic anomalies (such as magnetic moment disturbance of an underwater vehicle).

The invention relates to a sea cucumber growth character recognition and measurement method based on machine vision and a measurement system thereof, and belongs to the field of image processing, and the method comprises the following steps: S1, image acquisition and preprocessing; s2, instance segmentation and morphological feature extraction; s3, measuring the length and width of the sea cucumber; s4, pixel-to-actual size conversion is carried out; s5, constructing a body weight prediction model; and S6, outputting a result. The method has the advantages that the sea cucumber image is obtained by using the high-definition image acquisition technology, the contour information of the sea cucumber is accurately extracted through the instance segmentation algorithm, and the problems of changeable and irregular sea cucumber shapes and the like are effectively solved by combining the optimized image processing technology, so that the measurement precision is remarkably improved. Meanwhile, a machine learning regression model is introduced, the weight of the sea cucumber is predicted based on various morphological characteristics, and the dimensionality and the utilization value of measured data are further enriched.

The invention provides a method for automatically calibrating collected data of high-precision measurement and control deformation monitoring equipment, and belongs to the technical field of wind tunnel inner profile measurement. Multi-equipment clock synchronization is realized by establishing a unified time reference system, and measurement data of different frequencies are processed by adopting a CPU-GPU heterogeneous parallel processing architecture, so that the measurement accuracy is improved. The method comprises the following steps: performing three-level alignment on time, space and precision dimensions by using a multi-level clustering algorithm, eliminating clock differences among equipment by using a clock drift correction equation set, establishing a space coordinate system conversion matrix to unify a global coordinate system, and performing adaptive data fusion according to a precision weight by using a Kalman filtering fusion algorithm. And a data quality evaluation system is established to ensure the accuracy of a calibration result, a high-precision calibration data set is finally output, and the technical problem that the measurement precision is reduced due to space-time inconsistency of heterogeneous data of multiple devices is solved.

The invention discloses a micro-displacement measurement method based on conjugate vortex light interference on a dielectric metasurface, and relates to the technical field of optical micro-displacement measurement, and the method comprises the following steps: designing the dielectric metasurface through a numerical simulation mode; constructing a precise displacement measurement system based on conjugate vortex light interference by adopting a medium metasurface; acquiring interference intensity distribution images before and after the object moves by adopting a precision displacement measurement system; extracting the light intensity change of the interference intensity distribution image through multiple regions, and inverting a whole-course rotation angle; and calculating the micro-displacement according to the whole-course rotation angle. According to the method, the dielectric metasurface is designed through numerical simulation, stable vortex light with different topological charges can be generated, the whole-course rotation angle is inverted by combining the light intensity change of the multi-region extraction interference intensity distribution image, and the working range, the environmental adaptability and the measurement precision of micro-displacement measurement are improved.

The invention relates to the technical field of capacitance compensation matching, in particular to a dynamic tuning capacitance compensation matching method and system for a transformer simulation test. The method comprises the following steps: before a test is started, establishing a digital twin model based on parameters of a transformer to be tested, identifying a systematic measurement error source caused by inherent characteristics of a system through simulation, and generating error source correction parameters; in the test period, voltage and current original waveforms containing electrical disturbance in a test loop are obtained in real time through high-frequency synchronous sampling; a mixed disturbance separation model is used, the collected original waveform and the generated error source correction parameters are used as input, and random measurement disturbance components caused by load dynamic changes are calculated and separated in real time; and based on the separated disturbance component, driving a dynamic capacitance compensation module to generate a compensatory electric signal which is equal to the disturbance component in size and opposite to the disturbance component in phase, and injecting the compensatory electric signal into a test loop so as to realize active disturbance cancellation. According to the invention, the measurement precision of the transformer simulation test can be improved.

The invention discloses a hot-dip galvanized steel pipe ground cage verticality measuring system based on machine vision, and relates to the technical field of physical measurement, and the system comprises a projection unit which is used for projecting polarization gray scale stripes with polarization codes to a to-be-measured hot-dip galvanized steel pipe ground cage; the imaging unit comprises at least two cameras which form a triangulation base line with the projection unit so as to synchronously acquire multi-view images from different views; and the processing unit is configured to perform polarization difference fusion on the multi-view images to suppress mirror reflection, generate corresponding polarization difference fusion images, reconstruct pipe body three-dimensional point clouds of all the hot-dip galvanized steel pipes in the corresponding hot-dip galvanized steel pipe ground cages, generate pipe body axial vectors by adopting robust cylinder axis fitting, and obtain the pipe body three-dimensional point clouds of all the hot-dip galvanized steel pipes in the corresponding hot-dip galvanized steel pipe ground cages. And calculating the perpendicularity deviation angle of the pipe body according to the axial vector of the pipe body and the gravity direction. Therefore, on the premise that the measurement precision is guaranteed, the spatial postures of the multiple steel pipes are synchronously collected and recognized at a time, multi-point repeated scanning is not needed, and the detection efficiency is remarkably improved.

The invention provides a multipath fusion phased array radar antenna unit coordinate determination method and system, and the method comprises the steps: obtaining an antenna array surface power distribution diagram, recognizing the boundary and geometric center of an array, and planning a spiral and cross-shaped composite sampling path; on the planned sampling path, collecting phase data at a plurality of inclination angles and frequencies; based on the signal-to-noise ratio and the angle correction factor, carrying out adaptive weighted fusion calculation on the adjacent point phase difference under multiple conditions; establishing an overdetermined equation set by using the fused phase difference, and iteratively solving the accurate coordinates of the antenna unit through two rounds of weighted least squares; and establishing a drift model to perform dynamic compensation, and performing real-time calibration by using a unit with determined coordinates as a reference point. According to the invention, through a multi-angle and multi-frequency redundancy measurement strategy and in combination with a signal-to-noise ratio-based adaptive weighting algorithm, environmental interference can be effectively identified and suppressed. Even in a complex electromagnetic environment, the system can still keep stable measurement precision.

The invention belongs to the technical field of liquid level monitoring, and relates to a liquid level monitoring method and system based on a radar liquid level meter. The current temperature of the stored substance in the target storage tank is matched with the dielectric constant, whether the dielectric constant is abnormal or not is judged accordingly, the influence of the temperature on the dielectric constant of the stored substance is considered, and errors caused by temperature changes when the radar liquid level meter monitors the liquid level are avoided; whether abnormal influence is generated on the monitoring process of the radar liquid level meter or not is evaluated from multiple dimensions through the key obstacles in the target storage tank, the limitation of single parameter analysis is broken through, measurement errors caused by obstacle abnormity can be reduced, and the stability of liquid level monitoring is ensured; whether foam interference or steam interference occurs or not when the radar liquid level meter monitors the liquid level is recognized through multiple verification modes, the accuracy of interference reason recognition is improved, the pertinence of maintenance measures is guaranteed, and the situation that the measurement precision of the radar liquid level meter is reduced due to abnormal medium characteristics is avoided.

The invention belongs to the field of atmospheric environment particulate matter monitoring, and particularly relates to an atmospheric environment salt mist concentration real-time monitoring device and method. The monitoring device comprises a computer control module, a container and a buoy, a conductivity electrode, a temperature sensor, a displacement sensor, an air inlet pipe and an air outlet pipe are integrated on the top of the container, and the air outlet pipe is connected with a reciprocating cylinder with a piston and a limit switch. The monitoring method comprises the following steps: calibrating the initial volume V < initial > of liquid and the volume V < initial > of a reciprocating cylinder; circularly collecting the conductivity k0 and k1, the temperature T0 and T1 and the displacement D and Dtotal of the buoy before and after ventilation; correcting the salt mass increment delta M through the dynamic volume, and finally outputting the salt mist concentration C; according to the invention, the defects of inaccurate ventilation volume metering, solution density change and interference of moisture in high-humidity air on concentration monitoring in the prior art are overcome, full-automatic continuous monitoring of the salt mist concentration is realized, the measurement error is effectively reduced, the measurement precision and the monitoring capability are remarkably improved, and the method has relatively good environmental adaptability.

The invention discloses a channel flow velocity measurement error compensation method based on multi-source fusion, and the method comprises the following steps: S1, synchronously collecting flow velocity, position, attitude and environment data, including ADCP radial flow velocity, GNSS position / speed and IMU attitude angular velocity, through a multi-source sensor, aligning multi-source data based on a time synchronization mechanism, and achieving microsecond time synchronization based on PPS time service; according to the method, RTK high-precision positioning and ADCP bottom tracking data are integrated, the water surface elevation and the water bottom distance are inversed in real time, and the actual water depth and the riverbed erosion and deposition rate are dynamically calculated; edge calculation, motion compensation and external compass correction technologies are fused, the flow velocity and flow direction measurement precision is improved, and platform motion and attitude interference is eliminated; multi-source data local fusion processing and real-time generation of a flow velocity thermodynamic diagram and a water level change curve are realized, remote transmission and visualization are supported, and comprehensive and accurate hydrological data support is provided for maritime affair intelligent supervision, navigation safety early warning and digital channel construction.

The invention relates to a dust concentration inversion method based on multi-modal feature level fusion, belongs to the technical field of dust monitoring, and aims to solve the problem that the traditional light scattering method is easily interfered by temperature, humidity and ambient light, so that the measurement precision is insufficient. According to the technical scheme, light scattering signals and environment parameters are synchronously collected; local features of the scattering signals are extracted through a convolutional neural network; a Transform self-attention mechanism is adopted to capture global features; fusing the optical features and the environment features; and inverting the dust concentration based on the full-connection network. According to the method, environmental interference is effectively inhibited, and the precision, robustness and environmental adaptability of dust concentration measurement are remarkably improved.

The invention relates to the technical field of error calibration, and discloses a sensor error calibration method, device and equipment and a storage medium, and the method comprises the steps: collecting the environment state information of a sensor, and calculating the partition calibration parameter of each sensor based on the environment state information; each sensor is divided into a plurality of dynamic calibration intervals based on the partition calibration parameters, each dynamic calibration interval comprises a plurality of error parameters, and the interval range of the adjacent dynamic calibration intervals can be dynamically adjusted through the difference value between the error parameters; calculating an error compensation value of each dynamic calibration interval according to the error parameters; generating calibration information based on the error compensation value, and inputting the calibration information into each dynamic calibration interval to obtain a target calibration interval; and compensating the real-time weighing data of the sensor according to the target calibration interval. The system can respond to the change of errors of a plurality of sensors in real time, ensures that each sensor can be effectively calibrated under different working conditions, and further improves the measurement precision.

The invention discloses a fan blade safety monitoring device, solves the problem that the measurement precision of the azimuth angle and the distance of a blade tip is limited to a certain extent due to weak reflection echo of a millimeter wave radar, and belongs to the technical field of safety monitoring and intelligent detection of new energy equipment. The system comprises an antenna, a passive electronic tag and a main control module. The passive electronic tag is attached to a to-be-monitored part of a fan blade and is used for reflecting the modulated electromagnetic wave signal after receiving the modulated electromagnetic wave signal; the antenna transmits a modulation electromagnetic wave signal to the passive electronic tag, and is also used for receiving a modulation signal reflected by the passive electronic tag and transmitting the modulation signal to the main control module; and the main control module controls the antenna to send a modulation electromagnetic wave signal, calculates a clearance distance and / or a vibration characteristic parameter in combination with a modulation signal reflected by the passive electronic tag, and carries out safety monitoring on the fan blade according to the clearance distance and / or the vibration characteristic parameter. An annular array millimeter wave radar can be selected as the antenna. According to the invention, the fan blade can be accurately monitored.

The invention discloses a photovoltaic adhesive film cutting length detection device and method, and belongs to the field of photovoltaic module production equipment. The device comprises an adhesive film conveying unit, a non-contact detection unit, a tension compensation unit and a control unit. The non-contact detection unit is fused with an incremental encoder, a laser ranging module and a visual identification module, multi-source data are fused through a Kalman filtering algorithm, and the measurement precision is remarkably improved. And the tension compensation unit monitors the tension of the adhesive film in real time and dynamically adjusts the tension degree, so that measurement deviation caused by tension change is effectively avoided. The cutting length threshold value is preset by the control unit, the cutting mechanism is automatically triggered, automatic control is achieved, and the production efficiency and the cutting quality are improved. Through multi-sensor fusion detection, dynamic tension compensation, an automatic calibration mechanism and an intelligent control algorithm, high-precision and high-stability photovoltaic adhesive film cutting length detection is achieved, and the strict requirement of the photovoltaic industry for adhesive film cutting quality is met.

The invention provides an underwater target multi-sensor fusion magnetic field measurement system in a complex magnetic environment, which relates to the technical field of marine equipment and comprises a multi-mode magnetic field sensing module, an attitude correlation correction module, a layered fusion processing module and an environment self-adaption and magnetic anomaly detection module. The multi-modal magnetic field sensing module is responsible for collecting multi-dimensional and multi-type original magnetic field data around the underwater vehicle and constructing a complete magnetic field observation basis, and the attitude correlation correction module is used for eliminating the influence of the motion attitude change of the underwater vehicle on magnetic field measurement. The hierarchical fusion processing module performs hierarchical fusion on multi-sensor data; the environment self-adaption and magnetic anomaly detection module realizes background magnetic field separation, interference suppression and magnetic anomaly target identification; according to the system, the magnetic field measurement precision and robustness of the underwater vehicle in a complex magnetic environment can be improved, and high-reliability magnetic field feature extraction and situation awareness functions are realized.

The invention discloses an anti-interference resistance detection circuit board and system based on four-wire system measurement, and relates to the technical field of industrial automatic detection. Aiming at the problems of low measurement precision, weak interference resistance and limited channel expansion of a traditional two-wire system, a current loop and a voltage sampling loop which are independently and electrically isolated are adopted, and a lead resistance error is eliminated through Kelvin connection; an EMI filter, a photoelectric coupler and a double-layer shielding cable are integrated, so that the influence of electromagnetic interference and a ground loop is inhibited; a single circuit board supports the parallel connection of at least two measuring units, realizes the cascade connection of multiple boards by combining an EtherCAT bus, and supports 384 channels at most. The measuring error is smaller than or equal to + / -0.1%, the single-channel detection time is smaller than or equal to 10 ms, the requirements of high-density and high-beat scenes such as perovskite photovoltaic glass are met, the method is suitable for 100-100 Momega wide-range resistance measurement, the signal transmission error rate in the industrial strong electromagnetic environment is extremely low, and the detection precision and the system reliability are remarkably improved.

The invention discloses a self-adaptive metering method of an ultrasonic water meter, which relates to the field of water meter metering, and comprises the following steps: acquiring real-time water temperature data and real-time flow velocity data of a measured fluid, compensating the sound velocity of ultrasonic waves based on the real-time water temperature data to obtain a first compensated sound velocity, based on the first compensation sound velocity, an excitation voltage self-adaptive adjustment strategy with ultrasonic wave head-wave ratio regulation and control and a measurement frequency dynamic regulation and control strategy are executed, secondary compensation is conducted through a built error curved surface compensation model with the water temperature and the flow velocity as indexes, and the initial flow value is corrected through an error compensation value; by means of multi-parameter collaborative real-time optimization, high-precision measurement and low-power-consumption operation under all working conditions are achieved, the measurement precision in the full-scale and full-temperature range is remarkably improved, and by intelligently adjusting the measurement frequency, cooperating with the flow rate change rate and error model feedback and dynamically balancing the dynamic response speed and static power consumption, the measurement precision is improved. And finally, double optimization of precision and energy efficiency is achieved.