54results about How to "Achieve operability" patented technology

The application provides a subprogram page processing method and device, equipment, storage medium and program product; the method comprises the following steps: loading a page processing service for a web view page to be rendered of a subprogram, the subprogram runs in a web application, and the domain name of the page processing service is different from the domain name of the web application; sending a resource acquisition request to a proxy service through the page processing service, the resource acquisition request instructs the proxy service to acquire web resources carried by the web view page from a resource service and return the web resources; receiving the web resources returned by the proxy service for the resource acquisition request; and rendering the web view page based on the web resources through the page processing service. Through the application, the safety of the web application can be ensured, and the rendering and running of the web view page of the subprogram in the web application can be realized.

The application discloses a chemical crystallization granulation coupling membrane interface induced crystallization calcium removal system and a calcium removal method, and belongs to the technical field of water treatment. The system comprises a chemical crystallization granulation unit, a membrane interface induced crystallization unit and a microcrystal separation and recycling unit. After preliminary softening of wastewater to be treated by the chemical crystallization granulation unit, the wastewater enters the membrane interface induced crystallization unit, residual calcium ions in the preliminary softening wastewater are enriched in a hydrophilic microzone of the membrane interface, combined with carbonate ions in an induced crystallization reagent, and calcium carbonate microcrystals are generated, the hydrophobic microzone inhibits continuous spreading of the crystals and promotes peeling of the microcrystals; the calcium carbonate microcrystals are separated and concentrated and then recycled to the chemical crystallization granulation unit for recycling. After treatment by the chemical crystallization granulation coupling membrane interface induced crystallization calcium removal system, the concentration of calcium ions in the wastewater is below 10 mg / L. The application realizes calcium removal by coupling of preliminary softening by chemical crystallization granulation and induced crystallization by a membrane, has the advantages of low reagent consumption, recyclable microcrystals and closed-loop operation.

The invention discloses a model deployment method, a task processing method, electronic equipment and a household appliance control system. The method comprises the following steps: acquiring equipment performance of each household appliance; according to the equipment performance splitting model of each household appliance, obtaining model data corresponding to each household appliance; deploying the model data to the corresponding household appliances; wherein the model data in at least part of the household appliances can form a target model for task reasoning. Through the above mode, localized deployment and operation of a large model are realized, the response speed of the system is improved, and dependence on cloud computing is reduced.

The invention discloses an RPA-based power dispatching service auxiliary method, system and device, and a medium. The method comprises the following steps: logging in a power dispatching OMS system by using an RPA automation technology; interactively triggering an operation management function through a target control, and sequentially executing UI element clicking, interface component activation operation and event distribution to a CLOW node to jump to a scheduling operation page; obtaining the number of executed work orders by adopting a selenium technology, triggering work order operation instructions in sequence, and extracting planned operation time, operation content and advance notice unit names in the work orders; on the basis of the extracted work order information, target grouping check and message content input and sending including operation content, time and ticket changing signature are completed in a message management module; generating massive controlled training sample sets through an RPA model, and performing parallel training on the sample sets by adopting a deep reinforcement learning algorithm; and carrying out adaptive process design based on a training result, and adjusting and perfecting a business process through iterative development testing and according to a deployment environment.

This invention provides a flexible production line control method and system based on a large vertical domain model. The method includes: constructing a pruning index combining temporal stability and spatial similarity for the original large vertical domain model to evaluate the redundancy of the activation tensors in the intermediate layers, and performing structured pruning accordingly to obtain a sparse structure model; performing mixed-precision quantization on the pruned model: allocating quantization bits according to the sensitivity of each network layer weight to task loss, and calculating scaling factors and zeros based on the range of non-zero weights to represent sparse weights; calculating the output deviation between the quantized pruned model and the original model under the same input, and training a feedforward network with the former's output as input to fit and compensate for the output deviation; combining the quantized pruned model and the feedforward network to form a composite control model; after deployment, adding the output command of the quantized pruned model to the compensation vector during inference to generate control commands.

This invention discloses an intelligent embroidery stitch optimization and energy-saving control method and system, belonging to the field of intelligent manufacturing technology. The method includes the following steps: collecting the power level switching signal, drive current change curve, and image acquisition time record of the embroidery machine; generating an electromagnetic interference distribution map based on the collected data; extracting the interference concentration area from the electromagnetic interference distribution map; establishing an interference scale table; and outputting the interference scale results. This invention achieves temporal isolation and synchronous coordination between power switching and image acquisition through interference scale modeling and dynamic matching of the power quiet zone, eliminating the impact of electromagnetic interference on image acquisition and ensuring stable stitch recognition. Through the linkage update of illumination sampling and the interference control list, adaptive control of power, exposure, and illumination is achieved, effectively reducing energy consumption while improving embroidery accuracy.

The application belongs to the technical field of motor control, and provides a multi-unit motor working mode decision method for optimal efficiency in all working conditions, comprising: first, obtaining efficiency distribution graphs of different working unit numbers of the multi-unit motor through prototype testing, establishing an optimal switching boundary by using a support vector machine, and constructing a decision model receiving torque, speed and temperature feedback to output the optimal working unit number; second, analyzing the vehicle instruction to obtain the motor target torque; third, according to the working unit number: in the symmetric mode, the torque is evenly distributed, and in the asymmetric mode, the torque of the symmetric unit is first used to the maximum, and the remaining is distributed to the remaining units to suppress the unilateral magnetic pull; finally, connecting each unit to an independent control module, using maximum torque current ratio control combined with minimum harmonic space vector modulation driving, and using current, rotor position and temperature closed loop dynamic switching working unit number to realize optimal efficiency in all working conditions. The application can improve the energy efficiency and operation reliability of the vehicle, and balance the unilateral magnetic pull and thermal safety.

This application relates to the field of robotics technology and discloses a control method for a robot system, including a parent robot and a child robot. The control method includes: upon receiving a voice control command, parsing the operation content of the voice control command and determining the command type; and controlling the parent robot and / or the child robot to execute the operation content of the voice control command according to the command type. This application can control whether the robot receiving the voice control command executes the corresponding operation content based on the command type, thereby enabling the parent robot and the child robot to operate independently or collaboratively, ensuring the harmonious and unified operation of the entire system. Therefore, this application provides convenient, real-time, and precise control of the robot system, which is beneficial for meeting the complex task requirements of the robot system. This application also discloses a control device for a robot system, a robot system, and a computer-readable storage medium.

The application provides an intelligent pollution cleaning method based on multi-modal deep learning, real-time monitoring of a pollution accumulation area is performed, and a real-time picture of a trash rack area is transmitted, a pollution detection data set is generated, and a pollution recognition algorithm based on deep learning is trained, the pollution recognition algorithm is used to recognize pollution in the real-time picture of the trash rack area and mark position information of the pollution, a multi-modal deep learning model is established to determine whether a pollution cleaning device is started, and factors such as an area of the pollution accumulation area, a water level difference of an inlet, weather conditions and rainfall are comprehensively considered, when an output result of the model reaches a preset value, it is determined that the pollution cleaning device starting requirement is met, through intelligent identification, automatic operation and informationized collaboration of the whole process of the hydropower station pollution cleaning system, the application improves the pollution cleaning efficiency of the trash rack of the hydropower station inlet and the reliability of the pollution cleaning device, and promotes the intelligent leap of the pollution cleaning system from passive response to active sensing.

The invention relates to the technical field of intelligent logistics and mobile robot autonomous navigation, in particular to an industrial park unmanned vehicle multi-task cooperative processing system based on visual intelligence, and the system comprises a global potential energy field construction center which calls task distribution information of a to-be-processed task, and builds global gravitational field data containing the gravitational potential energy distribution of a task target point; the local semantic perception unit is used for collecting real-time environment image data in the driving process of the unmanned vehicle to obtain environment semantic feature data containing obstacle categories and road surface texture attributes; the field parameter coupling unit is used for generating local correction field data; the potential energy synthesis unit is used for obtaining synthesized potential energy surface data; the gradient driving control unit is used for calculating a negative gradient vector of the synthesized potential energy surface data at the current position of the unmanned vehicle and converting the negative gradient vector into an acceleration control instruction to drive the unmanned vehicle to move; according to the method, the communication overhead and the deadlock probability are remarkably reduced, and the response speed and the environmental adaptability of the large-scale cluster operation are improved.

The application discloses a kind of distributed complex event processing systems using super heuristic algorithm, belong to distributed computer system technical field.The system includes cluster control component, distributed database, message middleware, event collection and analysis middleware, event distribution middleware and CEP processing node.It is in at core, by event collection and analysis middleware call super heuristic algorithm, CEP rule and historical data are trained, and optimal event fragment division method and Gower distance model based on attribute weight are automatically obtained;At runtime, event distribution middleware is based on the distance model to calculate the similarity of new event and existing partition, and in combination with the real-time load state of CEP processing node, dynamic, reasonable load distribution and balance are realized.The application realizes the intelligent adaptation and zero business invasion of CEP processing distribution, significantly improves the adaptability, universality and resource utilization of system in dynamic scene.

The invention belongs to the technical field of photovoltaic cells, and particularly relates to a secondary texturing efficiency-improving process suitable for a TOPCon cell, the secondary texturing efficiency-improving process comprises the steps of pre-cleaning, first texturing, intermediate washing, second texturing, post-cleaning and pickling which are carried out in sequence, the first texturing is carried out at a relatively high temperature, and a basic pyramid textured structure is formed; and the second texturing is carried out at a relatively low temperature, and the textured surface is finely optimized to form a pagoda-shaped pyramid structure. Through specific formula combination, temperature step control and a step-by-step corrosion strategy, the textured structure with excellent light trapping performance can be stably prepared, a pagoda-shaped pyramid structure with a better height-width ratio is achieved, the light trapping effect is effectively improved, the reflectivity is reduced, and the light trapping effect is improved. Therefore, the photoelectric conversion efficiency, the short-circuit current and the fill factor of the photovoltaic cell are improved, and the purposes of efficiency improvement and cost reduction are achieved.

The invention discloses a wind hydrogen storage collaborative digital real-time management and control platform and method, and relates to the technical field of power grids, and the platform comprises a time calculation module which calculates the structure propagation time based on the effective length of a blind branch pipe; the segmentation module is used for obtaining a plurality of continuous time periods based on the structure propagation time; an amplification module that calculates a first statistical value based on the continuous time period, and calculates a structure amplification factor based on the first statistical value; the coupling module is used for defining a tank opening pipe section and calculating the three-way parallel coupling amount according to the tank opening pressure time sequence and the structure amplification factor of the tank opening pipe section; and the correction module obtains a corrected hydrogen production power adjustment amount according to the three-way parallel coupling amount. According to the invention, invalid charging and discharging times of the energy storage system can be effectively reduced, and grid-connected power fluctuation amplitude is reduced.

The utility model provides a device body arrangement structure of a single-machine 48-pulse hydrogen production rectifier transformer, the single-machine 48-pulse hydrogen production rectifier transformer comprises a left device body and a right device body, and high-voltage winding D connection, low-voltage winding d connection and low-voltage winding y connection of the left device body and the right device body are all combined into 24 pulses. The phase angle difference of the 24-pulse rectifier transformers of the left transformer body and the right transformer body is equivalent to 48 pulses in a 7.5-degree combination mode, each 24-pulse rectifier transformer is a shared three-column three-phase iron core, and a conjugate iron core with the 15-degree phase difference of a high-voltage winding is arranged between the upper portion and the lower portion of the three-column three-phase iron core. A channel is provided for phase difference excitation between the upper high-voltage winding of the three-column three-phase iron core and the lower high-voltage winding of the three-column three-phase iron core through the conjugate iron core, four rectifiers with 12 pulses and 15-degree phase difference can be dragged by the valve side of the single-machine 48-pulse rectifier transformer, and the one-to-four function can be effectively achieved; meanwhile, the size and the weight of the system are effectively reduced, the overall manufacturing cost is greatly reduced, and rapid industrialization of green hydrogen is facilitated.

The invention discloses movable assembly type high-degree-of-freedom dieless double-sided incremental forming equipment and method. The equipment comprises two groups of forming units, namely a first forming unit A and a second forming unit B, the first forming unit A and the second forming unit B can be assembled together during use and can be detached after use, and the first forming unit A and the second forming unit B are both of a foldable storage structure; the foldable industrial mechanical arm forming units capable of cooperatively working are arranged on the two sides of the vertically-fixed to-be-machined plate, synchronous or cooperative incremental forming of the front face and the back face of the plate is achieved, the forming precision is improved, springback is reduced, the thickness distribution of the plate is improved, and therefore the forming requirements of complex curved surfaces and high-performance plates are met. The double-sided forming equipment is designed to be of a detachable and assemblable modular structure, so that the equipment can be packaged in a storage state in the transportation and deployment process and can be quickly unfolded and spliced on the use site, and the maneuverability and the application flexibility of the equipment are remarkably improved.

The present application belongs to the technical field of vehicle platoon control, and discloses a data-driven vehicle platoon fault-tolerant tracking performance recovery control method and system. The method introduces a preset performance function into the output of the vehicle platoon system, converts the complex time-varying inequality constraint problem into a simple variable boundedness problem, and then completes the design of the model-free adaptive controller of the vehicle platoon system under normal conditions by designing a pseudo partial derivative estimator and an observer. Then, the present application introduces an attack exponential function on the basis of the model-free adaptive controller under normal conditions, and designs a model-free adaptive controller based on an attack compensation mechanism. At the same time, for the actuator fault delay replacement problem, the present application introduces a shift function into the tracking error, and designs a reconfigurable fault-tolerant model-free adaptive controller based on the shift function. After the vehicle platoon experiences actuator faults and delay replacement, the tracking error can re-converge to the preset performance boundary within the specified recovery time.

The utility model discloses an independent two -way syringe pump relates to syringe pump technical field. Including: bottom plate, be provided with two syringe pumps on bottom plate, syringe pump includes: front plate, backboard, screw rod, sliding plate and motor, front plate sets up on bottom plate, backboard sets up on bottom plate, and front plate and backboard are parallel to each other, and the front plate is connected through screw rod between backboard, sliding plate is connected with screw rod threadedly, motor sets up below bottom plate, and motor is connected with screw rod transmission. The utility model discloses through setting up two syringe pumps and respectively through motor and separately driving, can realize to two syringe pumps and separately control or synchronous control, and further can realize two -way independent operation or synchronous operation, can to two syringes and synchronous drive or drive respectively, two -way independent operation, equivalent to two syringe pumps, two -way synchronous operation, satisfy the demand of synchronous test, two -way can be linked in marriage and realize the constant -current function of no broken flow, satisfy the requirement of liquid continuous transmission.

This invention relates to the field of metallurgical filtration technology and discloses a steel plate rolling oil filtration device, including a primary fine filter. A filter layer is fixedly connected to the inner wall of the primary fine filter. A slag scraping and waste discharge mechanism is provided on the inner wall of the primary fine filter. The slag scraping and waste discharge mechanism includes a drive scraper, a linkage scraper blade slidably mounted inside the drive scraper, a spring fixed to one side of the linkage scraper blade, and a contact guide plate fixed to the outside of the linkage scraper blade. A waste discharge chamber is fixed to the inner wall of the primary fine filter. In this invention, the drive scraper blade moves along the top of the filter layer, and the spring keeps the contact guide plate in sliding contact with the inner wall of the primary fine filter. This solves the problem of impurities continuously adhering to the outside of the filter layer and forming a deposit layer during the rolling oil filtration process, leading to a decrease in the oil flow capacity of the filter layer. This achieves timely removal of impurities from the filter layer surface and maintains initial filtration stability.

The application provides a real-time kernel-oriented program real-time compiling method and device and storage medium. The method comprises the following steps: constructing and running an operating system with real-time kernel capability on a target hardware platform, determining a real-time interface library and a real-time device driver model of the operating system as a dependence for compiling and linking; performing real-time modification on a high-level language compiler and a runtime key library to generate a modified tool chain, wherein the real-time modification comprises introducing the real-time interface library into the construction and linking configuration of the runtime key library, incorporating interfaces and data structures of the real-time device driver model into the visible range of the runtime key library, and setting real-time constraints on concurrent scheduling and timer mechanism; and using the modified tool chain to compile application source code, introducing the real-time interface library in the linking stage, and obtaining a real-time application program running on the operating system. The application can realize real-time compiling without source code modification, unified interface adaptation, cross-architecture reuse and deterministic running.

The invention relates to the technical field of server fault diagnosis, belongs to a software and hardware information monitoring and fault diagnosis method applied to an AI server, provides a topological structure applied to software and hardware state monitoring of the AI server on one hand, and provides a software and hardware information monitoring and fault diagnosis method applied to the AI server on the other hand. According to the technical scheme, hardware key information of main board cards (a mainboard, an exchange board, a GPU board and the like) in the server is collected, and the monitoring function of hardware signals is achieved; main running state data of system software are collected, and the function of monitoring the running state of server software is achieved; a trained AI large model is embedded in the fault diagnosis module, so that the functions of quickly positioning hardware and software faults and generating fault processing suggestions are realized.

The invention provides a head and neck partition multi-mode independent temperature control system for a medical ice cap, which comprises a medical ice cap and an ice cap temperature control subsystem, and is characterized in that the ice cap temperature control subsystem comprises a physiological signal acquisition module for acquiring head data by using a near infrared spectrum sensor and an electroencephalogram monitoring electrode to obtain original monitoring data; the signal processing and decision-making module is used for filtering and standardizing the original monitoring data and calculating local brain oxygen saturation and potential difference signal characteristics; the partition temperature control execution module is used for defining a plurality of cooling modes and carrying out cooling mode selection, cooling adjustment and temperature monitoring alarm according to local brain oxygen saturation and potential difference signal characteristics; and the transmission and visualization module is used for designing a wireless communication mode and an interface layout and carrying out data transmission and visualization display. According to the system, personalized cooling and real-time monitoring of physiological data are achieved, the safety, effectiveness and flexibility of clinical treatment are remarkably improved, the comfort level of a patient is optimized, and the requirements of modern medical treatment are met.

This application provides an image contrast enhancement method, system, electronic device, and storage medium. The method includes: separating luminance and chrominance components from the YUV data of an input image; training the luminance component for contrast enhancement using an enhancement network model to obtain an enhancement coefficient grid for the luminance component and compensation coefficients for the chrominance component; enhancing the luminance component using the enhancement coefficient grid and enhancing the chrominance component using the compensation coefficients; and obtaining an enhanced image based on the enhanced luminance and chrominance components. This application can significantly reduce computational complexity while maintaining contrast enhancement effects, and can also suppress noise and eliminate video flicker.

The invention discloses an off-network and off-line foreground radio frequency information identification processing and control system and method in the technical field of radio frequency information identification, and the system comprises a full-information radio frequency tag, a radio frequency information identification processing comparator assembly, an operation node execution mechanism, and a full-information radio frequency tag storage system operation full information. The radio frequency information identification processing comparator assembly identifies and reads the control identification elements of the full information radio frequency tag, determines the relationship between the article and the node, and operates the node execution mechanism to receive and execute the control instruction of the radio frequency information identification processing comparator assembly of the node; in the implementation process of the method, firstly, system operation full information is written into a full information radio frequency tag, each operation node carries out radio frequency information identification, and operation node action control is achieved. According to the invention, integration of off-network and off-line foreground identification processing control can be realized, network wiring is saved, the system response time is obviously shortened, and the operation efficiency is improved.

The application provides a kind of oil level over-limit detection method at train air compressor, it is characterized in that, including: obtaining the image containing air compressor and oil level as target image, and by target detection and cutting, obtain the key area containing oil liquid boundary as the image to be analyzed;By semantic segmentation in the image to be analyzed, obtain the marked area and oil area, obtain the reference liquid level line of marked area, the first liquid level line and the second liquid level line of oil area, according to the first liquid level line, the second liquid level line and the reference liquid level line, continuous degree evaluation and parallelism evaluation are carried out, and the continuous degree and parallelism are obtained, and according to the marked area and oil area, the definition evaluation is carried out to obtain the definition, according to the continuous degree, the parallelism and the definition, the reliability is obtained by comprehensive evaluation strategy;Based on reliability, determine the final marked reference line and the highest liquid level, and by liquid level comparison strategy, judge whether the oil level is normal.

The invention provides a perception-decision-execution cloud platform for intelligent operation and maintenance of hydropower engineering starting and stopping equipment. The perception-decision-execution cloud platform integrates perception, decision and execution functions. A perception module collects operation state data of a hydraulic starting and stopping machine; the decision module performs analysis based on the data and generates a control instruction; the execution module drives the hoist to act according to the instruction, and closed-loop intelligent control is achieved. Intelligent operation and maintenance of hydropower engineering starting and stopping equipment can be achieved, the operation efficiency, safety and reliability of the equipment are improved, and the operation and maintenance cost is reduced.

The invention discloses an oil gas treatment process regulation and control method based on machine learning and intelligent optimization. The method comprises the following steps: acquiring historical operation data of a process flow; determining a key adjustable variable set corresponding to each observation variable through time lag correlation analysis and feature importance analysis; constructing an independent time sequence prediction model for each observation variable; receiving a regulation and control target range aiming at the target observation variable, and constructing a multi-target optimization problem by taking the regulation and control target range as a core; an intelligent algorithm is adopted for solving, the prediction model is called in the solving process to evaluate the effects of different regulation and control schemes, and finally the optimal adjustable variable regulation and control scheme is output. Through a data driving mode, the problems that a traditional mechanism model is high in cost, poor in generalization and inaccurate in artificial experience regulation and control are effectively solved, and the regulation and control efficiency and precision of the oil gas treatment process are improved.

The utility model discloses a novel vehicle refrigerating system, including vehicle air conditioner compressor, vehicle condenser and dry filter that pipeline communicates in proper order still include vehicle refrigerator refrigerating system and vehicle air conditioner refrigerating system, and vehicle refrigerator refrigerating system includes two pass flange interface, first solenoid valve and capillary, and two pass flange interface includes liquid inlet pipe and liquid outlet pipe, and the input of first solenoid valve is connected through the output of dry filter of liquid inlet pipe, and the output of first solenoid valve is connected the input of capillary, and the output of capillary is connected the input of refrigerator evaporator, and the output of refrigerator evaporator is connected with first check valve, and first check valve exports refrigerant through liquid outlet pipe, improves the refrigerator intelligent system in existing vehicle refrigerating system, air conditioning refrigerating system and battery refrigerating system, and each vehicle refrigerating system is independently operated, and the overall equipment volume is big, and the cost is high, and the problem that the overall noise of separate operation is big.

This application relates to a corrosion inhibitor and its preparation method for circulating water in coastal high-chlorine environments of steel plants, belonging to the technical field of circulating water treatment and corrosion inhibitors. The chemical composition of the corrosion inhibitor, by mass fraction, includes: imidazoline corrosion inhibitor: 20%~23%, azole corrosion inhibitor: 15%~18%, surfactant: 7%~10%, halogen promoter: 1%~3%, zinc salt: 1%~3%, biomass-based scale inhibitor: 1%~5%, bactericide: 1%~5%, defoamer ≤3%, and water: 30%~54%. Through the synergistic effect of its components, the corrosion inhibitor can form a dense and stable composite protective film on the carbon steel surface, effectively blocking the electrochemical corrosion of the steel matrix by chloride ions in a high-chlorine environment, and maintaining structural stability at high temperatures. This corrosion inhibitor also possesses excellent scale inhibition performance and environmental friendliness. The preparation process of the corrosion inhibitor is simple and cost-controllable, which can significantly extend the service life of key equipment in the circulating water system of steel plants in coastal high-chlorine environments, reduce maintenance costs, and ensure long-term stable operation of the system.

The invention provides a radar fault diagnosis and self-tuning method based on deep reinforcement learning, and relates to the technical field of radar fault diagnosis. Comprising the steps of constructing a simulation environment, a single-photon laser radar system model, a teacher strategy network model and a student strategy network model; a target training data set is obtained through simulation of the single-photon laser radar system model; training a teacher strategy network model based on a particle resampling algorithm through the target data set to obtain a target teacher strategy network model; training the student strategy model through the teacher strategy network model to obtain a target student strategy model; and through interaction between the student strategy network model and the real radar, fault diagnosis information and equipment health degree information are generated, and a control strategy and self-tuning are output according to the information. According to the method, the target student strategy model can be obtained through training to realize early prediction and accurate classification of radar potential faults, and the optimal parameter adjustment strategy can be automatically executed when the faults occur or before the faults occur.

The application discloses a water supply plant water supply amount prediction model training method and device, and particularly relates to the field of water supply amount prediction, and comprises constructing a main channel data set, wherein the main channel data set comprises time characteristics, meteorological characteristics, working condition characteristics, hydraulic internal characteristics and hydraulic external characteristics; a shadow twin data set is synchronously constructed, the shadow twin data set is generated according to a hydraulics balance equation and historical stable data, and is aligned with the main channel data on the same time axis; correlation screening is performed on the main channel data, and features with a correlation coefficient lower than a preset threshold value are deleted. Through the construction of the double-channel structure of the main channel data set and the shadow twin data set in the training process, and the combination of the global offset index checking and the cyclic mechanism of the recursive feature elimination, the identification and correction of the overall error caused by the multi-sensor linkage offset are realized.