74results about How to "Relatively small error" patented technology

The present invention discloses a method for improving the load estimation of the output-into-river coefficient model in a large watershed. A nested sub-basin is set for the measured watershed, a Latin hypercube sampling method is used to initialize the population, and a genetic algorithm is used in combination with relevant data of the nested watershed to solve the optimized watershed pollution equation to calculate the land use output coefficient of different sub-basins; the surface runoff factor, soil water leaching factor, landscape interception factor and soil erosion factor of the corresponding watershed are coupled to calibrate the output coefficient of pollution sources in different spatial units. At the same time, the ratio of the product of the rainfall erosivity factor and the terrain influence factor to the product of the cost distance factor and the vegetation coverage factor is used to calibrate the river inlet coefficient of pollution sources in different spatial units; a large watershed non-point source pollution load estimation model is constructed based on the calibrated output coefficient and river inlet coefficient, and the pollutant output and river inlet under various land use types are calculated to improve the accuracy of the estimation of non-point source pollution in large-scale watersheds.

The invention discloses a three-phase intelligent electric energy meter and an intelligent metering system thereof, relates to the technical field of three-phase electric energy meter metering, and aims to solve the technical problem that a large error exists in a measured value of a traditional three-phase electric energy meter metering system, and the three-phase intelligent electric energy meter comprises an electric energy metering unit which is used for collecting and metering three-phase voltage and three-phase current, a corresponding three-phase pulse digital quantity signal is generated; the processor module is connected with the electric energy metering unit and is used for receiving the three-phase pulse digital quantity signal and calculating to obtain voltage and current measurement values of each phase; the metering module is connected with the processor module, and is used for receiving the voltage and current measurement values, processing single-phase, two-phase and three-phase imbalance conditions, calculating an active electric energy metering value and a reactive electric energy metering value, and generating digital quantity signals of the active electric energy and the reactive electric energy; and the signal acquisition module is connected with the metering module and is used for acquiring digital quantity signals of the active electric energy and the reactive electric energy. The method has the advantage of improving the electric energy metering precision.

The invention discloses an elevation correction method and device for occultation ZTD data and an application system, and the method comprises the steps: obtaining occultation data of a target area, and determining a corresponding year product day and an occultation ZTD value before correction according to the occultation data; matching the occultation point spatial position of the occultation data with the grid point of the ERA5 data, and determining a target grid point; determining ZTD elevation scaling factors corresponding to the annual day and the target grid point by using a pre-constructed ZTD elevation scaling factor model according to the annual day; according to the ZTD elevation scaling factor and the conversion relation between the uncorrected occultation ZTD value and the corrected occultation ZTD value, the uncorrected occultation ZTD value is corrected to the target elevation position, and the corrected occultation ZTD value is obtained. By correcting the occultation ZTD value before correction to the target elevation according to the corresponding ZTD elevation scaling factor, the problem that the ZTD value error is large due to the fact that the earth surface part of occultation data is missing can be effectively solved, and the occultation ZTD data precision is improved.

The invention provides a CT (Computed Tomography) system defect detection capability reference block, evaluation method and system. The CT system defect detection capability reference block comprises a defect simulation sample A and a matrix disc B, the method comprises the following steps: preprocessing a CT detection image, extracting a defect region of interest, and obtaining a defect detection capability evaluation two-dimensional plane; correcting the voxel size of the CT image; carrying out sub-pixel edge detection; fitting a result, and establishing an image pixel position coordinate; according to the sub-pixel edge point set, matrix gray scale mu l (h) and defect gray scale mu b (h) at different positions are obtained; establishing a relational expression of the defect size and the gray level, drawing a relation curve I of the defect size D and # imgabs0 # and a human eye 50% probability recognition probability curve II, and obtaining a minimum recognizable defect; and establishing a relation curve of the defect size and the measurement error thereof. According to the method, the defect size measurement precision is high, the influence of image noise is small, and the minimum defect detection capability and defect measurement error can be quantitatively evaluated.

The invention discloses a cable channel hidden space detection method based on a self-insulation mechanical arm and a multi-physical field sensor, and the method comprises the steps: carrying out the modeling of the mechanical arm; a cable multi-physical field sensor measurement result is obtained through the mechanical arm; cable defects are judged and positioned by analyzing a measurement result; and in combination with an analysis result, designing a cable outer sheath monitoring method. A motor and a metal part are not arranged at the part close to the sensor, and the mechanical arm is driven by a motor driving rope far away from the mechanical arm to be pulled, so that the error of the leakage current and the difference temperature measurement value is relatively small; in combination with change rules of multiple physical fields such as an electric field and a thermal field under the condition of cable damage, measurement results of a Hall current transformer and a thermocouple temperature sensor are fused according to a D-S method, and accurate judgment and positioning of cable damage are realized.

The invention belongs to the technical field of hypersonic wind tunnel experiments, and discloses a schlieren measurement device and method for near-wall three-dimensional flow of a hypersonic wind tunnel model. The schlieren measuring device comprises a light source, a spectroscope, a concave mirror, a model, a knife edge and a scientific camera, light emitted by the light source penetrates through the spectroscope and then reaches the concave mirror, the light reflected by the concave mirror is parallel light, the parallel light penetrates through a to-be-measured flow field area and then reaches the surface of the model, the surface of the model is plated with a reflecting film, and the parallel light is reflected by the model and then returns to the concave mirror. And finally, a schlieren image is acquired by a scientific camera. The design method comprises the steps of determining a technical scheme; determining a model structure; and determining a light path arrangement scheme. According to the schlieren measurement device and the design method, the model becomes a part of a measurement light path in a model surface coating mode, quality constraint is carried out on the processes of designing, processing, assembling and the like of the model, the schlieren measurement experiment accuracy is improved, and the schlieren measurement device and the design method have engineering practical value.

The invention discloses a precise-control three-main-truss steel truss girder closure section mounting method, belongs to the technical field of truss girder closure, and aims to realize precise control of a three-main-truss steel truss girder closure section through optimization of a closure section structure, a sling-free double-machine lifting technology, a steel girder longitudinal movement control method under limited release conditions and optimization and adjustment of a closure gap butt joint process. The invention discloses a method for predicting, analyzing and controlling a closure gap based on ballastless track control requirements. By means of the mode, according to the technical scheme, the closure section structure is optimized, the problem of diagonal web member interference in the hoisting alignment process is avoided, and the relative error of downwarping and rotating angles of closure openings on the two sides is reduced by adopting a sling-free double-machine hoisting mode and a control method; a cantilever steel beam on one side is integrally and limitedly moved longitudinally, a closure gap is expanded, the alignment difficulty of a closure section is reduced, and a vertical adjustment measure is improved by utilizing a low-temperature method; the problems that the linear requirement of a ballastless track is high, and the requirement for the installation precision of a closure section is high due to the fact that a steel strand stay cable can only be tensioned and cannot be released are solved, the technical scheme is feasible, and the construction cost is saved.

The invention discloses a characteristic higher harmonic low-frequency sampling method, an APF, equipment and a storage medium, belongs to the technical field of power system harmonic detection, and solves the problem of how to reduce the sampling frequency of characteristic higher harmonics. According to the method, the characteristic higher harmonic signal is sampled into the fundamental wave signal by adopting the sampling frequency with lower frequency, so that the amplitude of the characteristic higher harmonic signal is obtained; meanwhile, sampling the characteristic higher harmonic signal into a direct current signal by adopting a second sampling frequency with a relatively low frequency, so as to obtain the phase of the characteristic higher harmonic signal; combining the known angular frequency of the characteristic higher harmonic signal to obtain all characteristics of the characteristic higher harmonic signal; the sampling frequency is reduced to a fraction or even lower than that of a traditional method, and the sampling frequency requirement is remarkably reduced; a high-frequency sampling chip does not need to be upgraded, and system modification cost is reduced; the phase relative error is greatly reduced in a low-order harmonic band, the overall phase error is controlled within 5%, and the phase detection precision is improved.

The invention discloses a trajectory prediction system based on convolution and self-attention. The trajectory prediction system comprises an overall network architecture, a training method and a reasoning output algorithm. The whole network architecture takes a road grating map, a vehicle motion state and target information as inputs, the inputs are processed through a DenseNet layer, a self-attention coding layer, a full-connection coding layer and a decoding output layer in sequence, and a prediction track is output; according to the method, a road grating map containing information such as a collision box and a road marking and a vehicle motion state are used as input, road environment constraints are associated with a self-attention mechanism, a polar coordinate track description mode fitting vehicle kinematics characteristics is adopted, a track parameter value range is limited, common errors and abnormal tracks are effectively avoided, and the method is suitable for popularization and application. Traffic rules and driving safety requirements are met, and the reasonability and safety of formed track prediction are prominent; based on 16000-frame multi-dimensional training data collected by a Carla simulator, errors are reduced in a verification set after optimization training, and errors in a crossing turning scene are reduced.

The invention relates to a dynamic weighing method based on a piezoelectric acceleration sensor, and belongs to the technical field of dynamic weighing systems, and the method comprises the following steps: S1, installing at least one piezoelectric acceleration sensor on a structural body bearing an object to be weighed, and collecting a vibration acceleration signal of the structural body under a dynamic load in real time; s2, applying an active excitation signal with a preset frequency and a preset amplitude to the structural body through an actuator; s3, acquiring an output signal of the piezoelectric acceleration sensor under the active excitation, and extracting a vibration response component in the output signal; s4, calculating the dynamic mass of the to-be-weighed object based on the vibration response component; and S5, outputting a calculation result of the dynamic quality. According to the dynamic weighing method based on the piezoelectric acceleration sensor, vibration interference is effectively separated and compensated through an active excitation and response analysis mechanism, and the weighing precision in non-static states such as vibration and movement is remarkably improved.

The invention relates to the technical field of electrochemical energy storage safety, and discloses a battery energy state estimation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an open-circuit voltage-state-of-charge curve of a battery; calculating an integral value of the open-circuit voltage-state-of-charge curve in a full-state-of-charge range; and estimating the real-time charge state of the battery at any moment, and calculating the energy state of the battery based on the integral value and the real-time charge state. According to the method, the open-circuit voltage-state-of-charge curve of the battery is obtained, the integral value of the curve in the full-state-of-charge range is calculated, and the energy state is calculated based on the integral value after the instant state-of-charge is estimated, so that the influence of internal resistance polarization on energy state estimation is effectively eliminated, and the precision and reliability of SOE estimation are remarkably improved; the problem of large error caused by internal resistance polarization is solved.

The invention discloses an image translation-based inclined view angle rotator vibration displacement measurement method. The method comprises the following steps of: performing cutting operation on an acquired rotator vibration image under a standard view angle and an acquired rotator vibration image under L random view angles; randomly extracting a preset number of random view angle cutting images and standard view angle cutting images of matched frames from the L random view angles, and taking the standard view angle cutting images as labels of the random view angle cutting images to construct a data set; training and verifying the image translation model through the training set and the verification set to obtain a trained image translation model; selecting one of the obtained rotating body vibration images of the preset time length under the L random view angles, inputting the selected rotating body vibration images into a trained image translation model, and obtaining a standard view angle image of a frame number corresponding to the preset time length; carrying out image splicing operation according to the standard view angle images with the frame number corresponding to the preset duration to obtain a spliced image; and performing edge detection on the spliced image, extracting an edge contour of the rotating body, obtaining sub-pixel-level displacement data, and converting the sub-pixel-level displacement data into a displacement value under a world coordinate system. According to the invention, the vibration displacement of the rotor can be effectively and accurately extracted from a plurality of shooting angles, and a more reliable and accurate scheme is provided for the measurement of the vibration displacement of the rotating body.

This invention provides a vehicle simulation speed correction method and system, relating to the field of vehicle intelligent dynamics modeling technology. The correction method includes the following steps: S1: Input and process simulation data output from the vehicle dynamics simulation model and corresponding real vehicle test data; S2: Construct a dynamic graph structure representing the interaction between state variables based on a preset physical coupling relationship of the vehicle powertrain; S3: Input the simulation data into a GCN and perform graph convolution operations under the constraints of the dynamic graph structure to extract graph embedding feature sequences representing the spatial dependencies between state variables; S4: Input the graph embedding feature sequences into a TCN and perform temporal convolution operations to learn the dynamic evolution law of state variables in the time dimension and output the correction amount of the vehicle simulation speed; S5: Output the result. Based on this, this invention solves the problem that existing correction methods have various limitations in practical applications.

The present application relates to the technical field of electrochemistry, and in particular to a fast-charging numerical simulation method, device and medium for thick electrodes of lithium ion batteries, the method comprising: constructing an electrochemical model of a lithium ion battery based on a pseudo two-dimensional model; loading basic parameters of the lithium ion battery, spatially discretizing according to the battery structure, and initializing an array of physical quantities required for simulation; using a Bayesian optimization algorithm, determining the charge-discharge curve of the lithium ion battery based on experiments, and calibrating the kinetic parameters of the battery cell; switching the charge-discharge mode according to the state of the lithium ion battery, performing cycle simulation, outputting simulation data, and completing fast-charging numerical simulation. The method overcomes the problems of the prior art, such as the inability of the pseudo two-dimensional model to accurately simulate the low-temperature fast-charging process of thick electrodes, the lack of an efficient and accurate method for obtaining kinetic parameters, and the difficulty in predicting battery aging caused by SEI growth.

The present invention provides a true wind fusion algorithm based on platform attitude correction and an unmanned sailboat control system. The algorithm converts the coordinate system of the ship-borne wind sensor into the earth coordinate system, performs filtering processing on the relative wind speed, relative wind direction, ship speed wind speed, and ship speed wind direction, and uses the filtered data to perform true wind speed fusion processing. The relative wind is corrected to the state when the sailboat is in a horizontal attitude by using the idea of ​​rotating coordinate conversion. Compared with other wind speed and wind direction compensation algorithms, the present invention does not rely on sensors or other hardware adjustments, making the unmanned sailboat sail control system simpler and more convenient.

This invention relates to the field of black carbon aging research technology, and more particularly to an experimental apparatus for black carbon aging research, comprising: a sample introduction system, including a heating tube, a pretreatment tube, an oxidizing gas removal tube, and a drying tube connected in series; a black carbon coating device, including an injection assembly, a coating chamber, a first absorption chamber, a heating removal assembly, and a second absorption chamber connected in sequence; a detection system, connected to the first absorption chamber, the heating removal assembly, and the second absorption chamber; an integrated device, including a mounting box and an aerosol charging device, a first differential migration particle size analyzer, a second differential migration particle size analyzer, and a condensed particulate matter counter disposed within the mounting box; and a control system, disposed within the mounting box, for regulating the sample introduction system, the black carbon coating device, the detection system, and the integrated device. This invention improves the convenience of black carbon research.

The invention discloses a concentrated dosing automatic control system based on cloud computing, relates to the technical field of dosing control, and is used to solve the problems of unstable operation, difficult data acquisition and slow response speed in the traditional manual dosing process. The invention comprises a data acquisition module, a data preprocessing module, a concentration control module, a concentration fine-tuning module, a data monitoring module and a state detection module; the invention automatically realizes concentrated dosing management by collecting data of various parameters in concentrated dosing equipment, and can accurately control key parameters such as concentration, and can adjust the situation when concentration error occurs to avoid increasing errors, improve production quality and efficiency, and monitor the data of the equipment in real time through sensors, analyze and process in real time, and provide scientific basis and decision support for management personnel.

The invention discloses macadam laying equipment for a box girder support embedded plate and an operation method thereof.The macadam laying equipment comprises a macadam placing mechanism, a macadam pressing mechanism and a support embedded plate placing table, the macadam placing mechanism and the macadam pressing mechanism are both installed on a walking mechanism, and the support embedded plate placing table is used for placing the support embedded plate; the walking mechanism is installed on one side of the support pre-buried plate placing table, the gravel placing mechanism can place gravel on a support pre-buried plate, and the gravel pressing mechanism can downwards extrude the placed gravel. The broken stone laying equipment composed of the broken stone placing mechanism, the broken stone pressing mechanism and the support embedded plate placing table is adopted, accurate broken stone laying can be achieved, the broken stone laying quality and position precision are improved, the problems of high labor intensity and time and labor waste caused by manual laying are solved, laying pressing is conducted through automatic walking, and the efficiency is high.

The application discloses a cable life prediction method based on an improved electromagnetic-thermal field coupling model, and comprises the following steps: firstly, a temperature coefficient and a proportional coefficient are used to respectively establish an insulation material thermal conductivity coefficient and temperature relationship and a convection heat transfer coefficient and temperature relationship, and the two relationships are used together with a conductor resistivity and temperature relationship as an electromagnetic-thermal field coupling relationship, thereby forming an improved electromagnetic-thermal field coupling model; then, a chaotic grey wolf optimization algorithm is used to identify the optimal temperature coefficient and the proportional coefficient of the insulation material in the improved electromagnetic-thermal field coupling model, and on this basis, the conductor temperature is calculated; finally, a multivariate linear regression is used to establish a conductor temperature analytical model, and an Arrhenius model is used to establish a cable life analytical model. The application solves the problem of large error of a traditional electromagnetic-thermal field coupling calculation method under a high temperature operation condition of a cable, and realizes online prediction of the cable life.

The invention discloses an ultra-precise fly-cutting machine tool which comprises a fly-cutting machine tool body, a hydraulic lead screw servo guide rail, a portal frame, a hydrostatic pressure main shaft and a fly-cutter disc. The ultra-precise fly-cutting machine tool can meet plane machining of main metal products in mechanical production and machining, such as plane machining of non-ferrous metal and plane machining of ferrous metal; the high-rigidity hydrostatic pressure main shaft and the high-rigidity hydrostatic pressure guide rail can meet the requirement that the main shaft still keeps very small axial run-out and radial run-out errors under the working condition of bearing certain metal machining cutting force, the hydraulic lead screw servo ensures the stability and straightness of guide rail operation, and fine and micro cutting depth adjustment is achieved through the fine adjustment tool rest. Therefore, precision machining of various metal planes is achieved.

This invention relates to a temperature-controlled stress electrochemical metal hydrogen permeation testing device and method. The testing device includes a hydrogen permeation electrolytic cell, a hydrogen efflux electrolytic cell, a first temperature control mechanism, a second temperature control mechanism, a tensile testing machine, a potentiostat, an auxiliary electrode, a reference electrode, and a working electrode. The hydrogen permeation electrolytic cell is equipped with a first temperature control mechanism for controlling the temperature of the hydrogen permeation electrolytic cell, and the hydrogen efflux electrolytic cell is equipped with a second temperature control mechanism for controlling the temperature of the hydrogen efflux electrolytic cell. The sidewalls of the hydrogen permeation electrolytic cell and the hydrogen efflux electrolytic cell are respectively provided with a first connecting pipe and a second connecting pipe. Both the hydrogen permeation electrolytic cell and the hydrogen efflux electrolytic cell are equipped with an auxiliary electrode and a reference electrode. The two ends of the working electrode are respectively connected to the tensile testing machine. The working electrode, the reference electrode, and the auxiliary electrode are respectively connected to the potentiostat. A sample is welded onto the working electrode. The hydrogen-filled surface and the hydrogen-effluxed surface of the sample are sealed to the first connecting pipe and the second connecting pipe through sealing gaskets.

This application discloses a clock synchronization method, apparatus, board, and computer-readable storage medium, relating to the field of network time synchronization technology. The service card encapsulates a device sending timestamp in a first NTP request message sent by the main control card based on the first current service system time to obtain a second NTP request message, which is then sent to the NTP server. Based on the second current service system time, the service card encapsulates a device receiving timestamp in a second NTP response message sent by the NTP server to obtain a first NTP response message. The first NTP response message is then sent to the main control card, allowing the main control card to calculate the network clock deviation between itself and the NTP server based on the first NTP response message, and adjust the main control system time accordingly. This method avoids the problem of large errors between the device sending timestamp and the device receiving timestamp, thus ensuring that the network clock deviation calculated by the main control card will not have significant errors.

This invention discloses a method and system for synchronous inversion of multiple atmospheric parameters, belonging to the field of atmospheric laser remote sensing technology. The probe light and the reference light are obtained by splitting laser pulses; the probe light is expanded, reflected, and then perpendicularly incident into the atmosphere, where it is scattered by the atmosphere to obtain the echo light. That is, all parameters originate from the same measurement and the same spectrum, resulting in perfect spatiotemporal consistency of the data, efficient measurement methods, and accurate measurement results. The temperature and pressure parameters in the atmosphere are calculated using the normalized scattering spectrum, and then aerosol and wind speed parameters are obtained, achieving true synchronous inversion of the four key parameters of temperature, pressure, wind speed, and aerosols for the first time. Furthermore, in applications such as meteorological forecasting, achieving synchronous measurement of atmospheric temperature, pressure, wind speed, and aerosols can save costs and improve efficiency, which has significant practical implications.

The present invention provides a flow measurement method for an intelligent gate structure, which belongs to the technical field of water conservancy engineering, and includes identifying the flow state of an intelligent gate; constructing a flow measurement model for an intelligent gate structure of a final channel according to the identification result, and verifying and evaluating the flow measurement model for the intelligent gate structure of the final channel; using the verified and evaluated flow measurement model for the intelligent gate structure of the final channel to monitor the flow through the gate in different scenarios, and completing the flow measurement of the intelligent gate structure. The present invention solves the problem of low water measurement accuracy of flow measurement equipment in the final channel.

The application discloses a kind of equipment and control method for automatically fish slice defect finishing.The equipment includes fish slice single piece loading unit, image acquisition and processing unit and finishing unit.Fish slice single piece loading unit utilizes the action of gravity to disperse and load the fish slice overlapping to image acquisition area;Image acquisition and processing unit, image acquisition and processing unit are used to collect fish slice defect image, and real-time picture information is transmitted to industrial computer, and the fish slice defect detection network based on YOLOv8 model improved in the middle part of industrial computer is used to identify defect area and plan defect finishing track;Finishing unit receives track and posture information from industrial computer, and accurately finishes fish slice, so as to complete the process of fish slice loading, detection and finishing.The application replaces traditional manual finishing mode by automatic processing, realizes real-time finishing of fish slice defect, effectively improves the operation efficiency and product quality of fish slice processing.

The invention discloses a fuse online monitoring method and system based on the Internet of Things. The system comprises a sensor module, a remote terminal module, a fuse state monitoring module, an electric power Internet of Things local server module, an intelligent terminal device / APP module, a background analysis system module, a LoRaWAN module and an Internet of Things cloud server. The method comprises the following steps: evaluating the condition of a fuse through a fuzzy set theory to obtain a qualitative weight, determining a quantitative weight by evaluating the influence of the fuse on the reliability of an overall system, then determining the priority of the fuse in online monitoring by adopting qualitative and quantitative standards, and detecting the fuse according to the priority; according to the invention, each fuse drop point in the regional power distribution network can be rapidly and accurately positioned, real-time on-line monitoring of the state of each fuse in the regional power distribution network is realized, and operation maintenance and equipment replacement of the fuses are guided.

The embodiment of the invention discloses a data processing method and device, a server side, a storage medium and a product, and the method comprises the steps: obtaining at least two pieces of to-be-processed data corresponding to a target region, and enabling the to-be-processed data to comprise latitude and longitude data; for at least two to-be-processed data, determining an included angle and a curvature of the current to-be-processed data according to the latitude and longitude values of the current to-be-processed data and the latitude and longitude values of the previous to-be-processed data; and taking the to-be-processed data of which the included angle and the curvature meet preset conditions as target data associated with the target area. According to the scheme provided by the embodiment of the invention, the effect that the rendering efficiency can be improved when the to-be-processed data is preprocessed before the collected to-be-processed data is rendered and region rendering is carried out based on the processed target data is realized.

The present application relates to the field of hydraulic engineering, particularly to a distributed reservoir group joint scheduling signal transmission and intelligent decision system, comprising a hydrological monitoring layer, a data transmission layer and a scheduling decision layer. The hydrological monitoring layer is composed of multiple hydrological monitoring terminals distributed around the reservoir group, using an ARM Cortex-M4 processor and a ZigBee communication protocol; the data transmission layer uses edge computing nodes and self-organizing networks to realize data preprocessing, encryption and reliable transmission; the scheduling decision layer includes a probability statistics prediction engine and a risk perception decision unit, which realizes the paradigm shift from deterministic prediction to probabilistic prediction through multi-dimensional conditional probability distribution model, uncertainty quantification, multi-time scale prediction integration, probability constraint optimization and stochastic dynamic programming, etc. The system introduces an adaptive learning mechanism to continuously optimize the prediction and decision model, which can reduce the short-term prediction error.

The invention discloses battery cell detection equipment for energy storage module production and a detection method thereof, and belongs to the technical field of battery production, the battery cell detection equipment comprises a conveyor belt, a detection mechanism is mounted at the starting end of the conveyor belt, and the detection mechanism comprises a first mounting box and a second mounting box which are mounted at the front and rear parts of the starting end of the conveyor belt respectively; a lead screw is rotationally installed in the first installation box, a nut sliding block matched with the lead screw is connected to the exterior of the lead screw, a guide rod is fixedly installed in the second installation box, a guide block is slidably connected to the exterior of the guide rod, a supporting rod is jointly connected between the nut sliding block and the top of the guide block, and a transverse plate is slidably installed on the inner side of the supporting rod. A plurality of rotating discs are rotatably installed on the inner side of the transverse plate, a fixing plate is fixedly installed in the middle of the outer portion of each rotating disc, and the upper portion and the lower portion of each fixing plate are connected with testing clamp bodies with conducting strips through electric telescopic rods; the device can be applied to detection of columnar battery cells and square battery cells, and has a better detection effect.

This application provides a core-shell structure microwave absorbing material and its thickness optimization design method and application, relating to the field of electromagnetic wave absorbing materials technology. The core-shell structure microwave absorbing material comprises a sheet-like magnetic metal core and a silica shell covering the core, the silica shell being prepared via a sol-gel method. The optimization design method includes: obtaining the intrinsic electromagnetic parameters of the constituent materials; constructing a single-particle simulation model with shell thickness as the variable; calibrating the simulation parameters through a decoupling-testing-verification iterative process; optimizing the solution for the optimal thickness based on the calibration model with the goal of maximizing the effective absorption bandwidth of reflection loss; and finally determining the optimal thickness range through experimental verification. This application achieves synergistic optimization of microwave absorption performance and corrosion resistance, solving the problems of long development cycles and high costs associated with traditional trial-and-error methods. The designed core-shell structure microwave absorbing material can be widely used in fields such as electronic equipment shielding, stealth technology, and microwave anechoic chambers.