3087results about How to "Reduce processing time" patented technology

The invention discloses a cloud edge cooperative control method, which comprises the following steps: establishing a cloud edge cooperative architecture, collecting data by edge nodes, and selecting a corresponding data compression strategy to compress the data; generating an edge-cloud collaborative uploading data stream; the cooperative control layer executes adaptive load balancing based on a cloud-side node state, task characteristics and a network condition which are monitored in real time so as to realize task allocation and scheduling between the cloud and the side; the cloud receives the data stream transmitted by the edge node, decompresses and processes the compressed data according to the metadata information, completes the task and feeds back an execution result; a node performance prediction model is constructed by using system state monitoring information, a task allocation strategy and a resource allocation and data compression strategy are adjusted in real time according to a prediction result, and cloud-side collaborative optimization is realized. Efficient data transmission, flexible task scheduling and self-adaptive resource management are realized, and the performance of the system in a complex and changeable environment is comprehensively improved.

The invention discloses an intelligent management method and system for IT equipment asset maintenance, and relates to the technical field of intelligent management. During system operation, multi-dimensional parameters of IT equipment are collected in real time and transmitted to a data processing module, the collected data are preprocessed, the current state of the equipment is comprehensively analyzed, and the health state coefficient Hstate of the equipment is calculated; the method comprises the following steps: acquiring a current equipment operation state, performing baseline establishment on historical operation data of the equipment, comparing the current state with the historical data, analyzing the performance trend and change of the equipment, calculating to obtain a trend analysis coefficient Ttend, and identifying potential problems and performance reduction trend of the equipment through long-term data accumulation. And calculating a final fault prediction probability index Pfault, comparing the final fault prediction probability index Pfault with a set threshold value, obtaining a grade prediction scheme, generating early warning information, prompting a system administrator to sort and distribute according to the urgency and priority of tasks, automatically generating a comprehensive report by the system, and providing decision support for the administrator.

The invention discloses a wind field wind resource fine simulation method, system and device based on WRF-CFD medium and micro-scale coupling and a storage medium, and belongs to the technical field of wind energy resource evaluation.The method comprises the steps that mesoscale meteorological analysis data is collected and calculated through a mesoscale WRF numerical simulation technology; performing fitting processing to obtain a fitting function between the wind speed component and the height; extracting wind speed contour information at a micro-scale modeling boundary based on the mesoscale meteorological analysis data and the fitting function, and determining a boundary condition of a micro-scale CFD model; performing directional calculation and correction on the wind speed of each sector by using a virtual anemometer tower; performing grid division on the wind power plant area to generate a refined grid corresponding to the wind power plant area; and driving numerical simulation of the micro-scale CFD model, and carrying out wind power plant regional range stroke resource evaluation. According to the method, the complex characteristics of the wind field can be comprehensively reflected, the wind resource evaluation precision and the calculation efficiency are remarkably improved, and the resource utilization is optimized.

The invention relates to the technical field of automatic logistics, in particular to an intelligent warehouse cargo scheduling device, which comprises a dynamic priority adjustment module, a self-adaptive classified storage module, a cargo flow optimization module, a resource allocation module, a fault analysis and maintenance module, a behavior monitoring module, an energy management module and a cost control module. According to the method, the cargo scheduling priority is optimized through a support vector machine algorithm and a decision tree method, the warehouse space utilization rate is improved by utilizing a convolutional neural network and a genetic algorithm, the cargo flow is optimized by adopting linear programming and a network flow analysis algorithm, and the cargo flow trend is estimated through an autoregressive integral moving average model and a recurrent neural network. The system utilizes a long short-term memory network to identify equipment faults and maintain, reduces the risk of accidental shutdown, improves the operation safety through a computer vision technology and a behavior identification algorithm, and utilizes an energy consumption mode analysis and cost-benefit analysis method to reduce the operation cost.

The invention discloses hydraulic machine equipment suitable for die forging and blank making of various flanges and a forging method, and belongs to the technical field of flange production equipment.The hydraulic machine equipment suitable for die forging and blank making of various flanges comprises a base and further comprises a top plate, the top plate is arranged on the upper side of the base, and a guide column is arranged between the top plate and the base; the first hydraulic oil cylinder is fixedly arranged on the top plate, and a piston rod of the first hydraulic oil cylinder is connected with a pressure head; all positions of the forge piece are sequentially arranged on the lower side of the pressing head through the swing mechanism, all positions of the forge piece are conveniently and evenly forged, workers do not need to shake the forge piece back and forth by utilizing a clamp or a clamp on the side, and when the pressing head moves upwards every time, the die holder is automatically separated and is matched with the air spraying opening to blow away waste chips generated in the die holder during forging and pressing of the forge piece; and excessive scraps are prevented from being accumulated in the die holder and being matched with the forge piece gradually filling the die holder again, the follow-up processing time of the flange forge piece is shortened, and the flange processing efficiency is improved.

The invention discloses a motor operation cycle monitoring and warning method and system, and relates to the technical field of motor monitoring, and the method comprises the steps: collecting motor operation data in real time through employing a distributed sensor network, and carrying out the analysis and processing of the collected original data through employing an edge computing device; transmitting the analyzed and processed data to a cloud data center, carrying out deep learning model training and feature extraction, and dividing a motor operation cycle based on the extracted features; and performing multi-dimensional anomaly detection on each divided operation cycle to generate an anomaly index, and performing motor operation cycle monitoring alarm according to the obtained anomaly index. The real-time performance and the reliability of the system can be improved. Compared with a traditional rule-based method, the method is more flexible and accurate, state changes of the motor can be evaluated more comprehensively, an early warning signal is sent out in time, and unnecessary downtime and maintenance cost are reduced.

The invention discloses a cutting machine for aluminum product production, which relates to the technical field of laser cutting, and comprises a workbench, a workpiece rotating mechanism, a laser cutting mechanism, a laser cutting mechanism and a cutting mechanism, the laser cutting mechanism is installed on the top of the workbench and used for conducting laser cutting on the workpiece; the joint cutting treatment mechanism is installed to shield and collect slag during laser cutting, damage to the inner wall of a workpiece caused by the fact that the high-temperature slag makes contact with the inner wall of the workpiece is avoided, burrs at the cutting position after cutting are treated, the smoothness of the edge is improved, generated waste is collected after treatment, and the waste is recycled. The cutting positions of the two sections of workpieces are trimmed at the same time while the aluminum material is protected in the laser cutting process, the edges of the workpieces do not need to be treated in the later period, the machining time is greatly shortened through integrated operation, and the machining efficiency is improved. And the machining efficiency and the quality of the workpiece laser cutting position are improved.

The invention discloses a fault monitoring method and system for a new energy photovoltaic power station power distribution network, and relates to the technical field of power distribution network fault monitoring. Analyzing and identifying abnormal areas based on the monitoring data of the edge monitoring point of each area, and updating the final monitoring level of each abnormal area; according to the fault detection sequence, the new energy photovoltaic power station power distribution network evaluation information of the monitoring points in all the abnormal areas and the difference information between the adjacent monitoring points are analyzed in sequence, the monitoring points in all the abnormal areas are checked, suspected monitoring points in all the abnormal areas are identified and marked, and a detection and maintenance path is generated. The problems of delayed detection, unreasonable resource allocation, low troubleshooting efficiency, insufficient intelligence, single maintenance strategy and insufficient data utilization in traditional new energy photovoltaic power station power distribution network fault monitoring are solved.

The invention discloses a solar cell and a preparation method and application thereof, and relates to the technical field of solar cells. P-type doped regions and N-type doped regions are alternately arranged on the back surface of the crystalline silicon substrate, a boron diffusion doped layer, a first passivation layer and a first antireflection layer are sequentially arranged in the P-type doped regions, and a phosphorus-doped silicon oxide layer, a phosphorus-doped polycrystalline silicon layer, a second passivation layer and a second antireflection layer are sequentially arranged in the N-type doped regions from the surface of the crystalline silicon substrate. A traditional TBC battery P region mostly adopts a two-step process of intrinsic amorphous silicon deposition and boron diffusion to form a polycrystalline silicon layer, but the P region does not contain the polycrystalline silicon layer and can be prepared through a one-step boron diffusion process, so that the process steps can be reduced, and the process time can be shortened; and the action of laser and P-region polycrystalline silicon is avoided, the patterning difficulty of the battery is reduced, and the production yield of the battery can be greatly improved.

The invention belongs to but not limited to the technical field of blind hole machining, and discloses a process method and system for laser composite efficient precision machining of blind holes, and the process method comprises a laser hole prefabricating stage and a laser fine hole repairing stage; a hole is preformed in the punching position of a workpiece through a large-pulse-energy laser beam, and fixed-point materials of the workpiece are rapidly removed; and then the hole is finely trimmed through ultra-short pulse width laser, the incident angle direction of a laser beam and the surface of the material is changed through a rotary cutting system, the hole wall and the hole bottom of the hole after the pre-hole stage are trimmed, fine trimming of the blind hole is completed, and the high-precision blind hole with the controllable taper is obtained. The method comprises the following steps: quickly removing a prefabricated blind hole in a workpiece material by using large pulse energy laser; adjusting process parameters, and quickly pre-processing a blind hole with a certain depth in a workpiece; and then the hole wall and the hole bottom of the blind hole are trimmed through high-speed rotating light beams and variable light beam incidence angles of the rotary cutting system, smooth hole wall, flat hole bottom and controllable taper of the blind hole are achieved, and the machining quality and efficiency of the blind hole of the difficult-to-machine material are improved.

The invention provides a tap water treatment coagulating basin dosing stirring monitoring device which comprises a stirring motor and a stirring shaft, a mounting platform is erected on a coagulating basin, the stirring motor is mounted on the mounting platform, the stirring motor and the stirring shaft are in transmission connection through a coupler, and the tap water treatment coagulating basin dosing stirring monitoring device further comprises a dosing device and a sensor assembly. The chemical adding device comprises a chemical box, a chemical adding pump, a chemical conveying pipe and a rotary chemical conveying device, a plurality of chemical adding openings are formed along the stirring shaft, the chemical adding pump conveys chemicals in the chemical box to each chemical adding opening through the rotary chemical conveying device and the chemical conveying pipe, and the chemicals are put into the coagulating basin through the chemical adding openings. The dosing, stirring and monitoring device for the tap water treatment coagulating basin provided by the invention adopts an integrated design, integrates stirring and dosing to realize a compact structure and function fusion, can obtain key parameters of a water body in the coagulating basin in real time through the sensor assembly, realizes accurate and automatic adjustment of the stirring speed and the dosing amount based on monitoring data, and improves the working efficiency. The stability and the reliability of the coagulation effect are ensured.

The invention discloses a subway station ventilation alarm method and system, and relates to the technical field of subway station ventilation equipment intelligent monitoring and alarm devices, and the method comprises the steps: monitoring equipment state data in real time, constructing a dependency relationship between different ventilation equipment in a subway station by using a Petri network model based on FMECA analysis, and dynamically updating a fault propagation path; dynamically evaluating the priority of the fault according to the position, the influence range and the propagation speed of the equipment fault in combination with the importance and the working state of the equipment; and according to the evaluated priority, automatically triggering a fault alarm through an alarm device, and sending a repair instruction to a maintainer through an instruction sending device. According to the method, the intelligent level of the system is improved through the design of the alarm device combining dynamic evaluation and priority driving, the processing time of high-priority faults is shortened through the design of a multi-factor comprehensive evaluation method and a linkage repair instruction, and the safety and the operation efficiency of the subway ventilation system are effectively improved.

The invention belongs to the technical field of gene sequencing, and particularly relates to an efficient and high-throughput gene sequencing data processing system. The data processing system comprises a data acquisition module, a data preprocessing module, a data storage and management module, a data comparison and alignment module, a variation detection module, a data integration and analysis module, a visualization and report module and a quality control and verification module, and the data acquisition module is used for extracting DNA or RNA and comprises phenol chloroform extraction, column purification and magnetic bead extraction; and detecting the concentration and the quality of the sample by using a spectrophotometer or a fluorescence quantifier, and carrying out pollution removal and degradation treatment on the extracted nucleic acid. According to the method, a comprehensive, accurate and efficient data processing solution can be provided for genomics research by optimizing the data processing flow, improving the data quality, enhancing the analysis capability and supporting automation.

The invention relates to the technical field of water quality monitoring, and discloses an automatic equipment control method for water treatment equipment, which is characterized in that a water treatment process is modeled into a Markov decision process, and dynamic and optimal control on the water treatment equipment is realized. The model comprehensively considers a plurality of dimensions such as raw water quality, treatment water quality, equipment operation state and treatment flow, and defines comprehensive state space and action space. By designing a reward function, multiple indexes such as the water quality standard-reaching rate, the equipment operation efficiency and the energy consumption are evaluated, and a deep reinforcement learning algorithm is adopted to continuously optimize a control strategy so as to maximize accumulated rewards. According to the method, the defects of response lag, strategy stiffness, lack of global optimization capability and the like of a traditional control mode based on a threshold value and manual intervention are overcome, the method can be adaptive to complex and changeable water quality conditions and equipment operation states, the treatment efficiency is improved, the water quality safety is ensured, and the operation cost is reduced.

The invention discloses a voice control implementation method and system based on a large model, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of insufficient recognition precision, low response speed and limited complex context processing capability in voice control. Comprising the following steps: analyzing a user voice instruction into a text instruction through a voice recognition model; performing semantic feature extraction on an input text instruction through a pre-trained text embedding model, and outputting a text embedding vector as a to-be-recognized text embedding vector; searching whether a text embedding vector similar to the to-be-identified text embedding vector exists in a pre-constructed vector database, if not, executing text analysis, and if yes, returning corresponding control information from the vector database; and taking the text instruction and the question statement as input, performing semantic analysis through a pre-trained large language model to obtain control information, and storing a text embedding vector corresponding to the current user voice instruction and the control information into a vector database.

The invention discloses an automatic stereoscopic warehouse goods sorting system and method, and relates to the technical field of intelligent sorting, the system comprises an input layer, a storage layer, an execution layer, a control layer and a management layer, the input layer comprises a bar code RFID scanning system, a machine vision identification system, a sensor and an input terminal, the storage layer comprises a three-dimensional goods shelf, a tray goods shelf system and a storage management system, the execution layer comprises a stacking machine, a conveying belt, a sorting robot and a carrying vehicle, and the control layer comprises a programmable logic controller, a monitoring and data acquisition system and a communication network. According to the automatic stereoscopic warehouse goods sorting system and method, efficient cooperative work among equipment can be achieved, and the goods processing speed and efficiency can be improved.

The invention provides a spliced frame structure for a flat plate type satellite, and belongs to the technical field of satellite structures. The problems that an existing satellite frame is high in production cost and difficult to produce in batches are solved. The beam unit comprises an X-axis beam unit, a Y-axis beam unit and an inclined beam unit, the X-axis beam unit and the Y-axis beam unit are arranged in an orthogonal mode, an included angle is formed between the inclined beam unit and the X-axis beam unit, the X-axis beam unit comprises a first X-axis beam, a second X-axis beam, a third X-axis beam and a fourth X-axis beam, and the X-axis beam unit comprises a first X-axis beam, a second X-axis beam, a third X-axis beam and a fourth X-axis beam. The Y-axis beam unit comprises a first Y-axis beam, a second Y-axis beam and a third Y-axis beam, the oblique beam unit comprises a first oblique beam and a second oblique beam, and the splicing unit comprises a Y-axis separation mechanism connector and an X-axis separation mechanism connector. The frame structure is mainly used for a flat plate type satellite.

The invention relates to a task processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring data processing tasks from an edge processing node, and acquiring task demand information corresponding to each data processing task; acquiring node state information of each processing node in the computing power network; according to the node state information and task demand information carried by the data processing task, determining a target processing node by taking resource utilization rate maximization of each processing node in the computing power network as a target; determining a target transmission path and a target transmission protocol by taking maximization of transmission bandwidth and minimization of transmission delay as targets according to data size information and time delay requirements carried by the data processing task, and a network state and a transmission protocol of a target processing node; and transmitting the data processing task to the target processing node through the target transmission path and the target transmission protocol. By adopting the method, the task processing efficiency can be improved.

The invention discloses a back contact battery and a photovoltaic module, relates to the technical field of photovoltaic, and aims to improve the manufacturing efficiency of the back contact battery, increase the manufacturing capacity of the back contact battery and reduce the electric leakage risk of the battery. The back contact battery comprises a semiconductor substrate, a first doped silicon layer and a second doped silicon layer. The semiconductor substrate comprises a first surface and a second surface which are opposite. The first surface is provided with a first area and a second area which are distributed at an interval, and an interval area positioned between the first area and the second area; the area ratio of the first region in the first surface is greater than or equal to 50% and less than or equal to 60%. A first doped silicon layer is disposed on the first region. The material of the first doped silicon layer comprises polycrystalline silicon and / or monocrystalline silicon. A second doped silicon layer is disposed on the second region. The conductive type of the second doped silicon layer is opposite to that of the first doped silicon layer. The extinction coefficient corresponding to the first doped silicon layer is larger than the extinction coefficient corresponding to the second doped silicon layer.

The invention relates to the technical field of water treatment, in particular to a movable treatment device for rural black and odorous water treatment, comprising: a movable vehicle body for supporting and moving overall components of equipment; the bottom of the treatment tank is fixedly connected with the top of the mobile vehicle body, the top of the treatment tank is fixedly connected with a water inlet end cover through a bolt, and the outer side of the treatment tank is fixedly connected with an access door through a bolt. Compared with the prior art, large-particle impurities can be prevented from entering the purification assembly, blockage of purification components such as an activated carbon cylinder is avoided, the smooth purification process is guaranteed, the burden of the purification assembly is relieved by removing the large-particle impurities in advance, and the purification assembly can treat small-particle pollutants and soluble substances more intensively. Therefore, the purification efficiency of the whole treatment device can be improved, and the treatment time and cost are reduced.

The invention relates to the technical field of servers, and discloses a workflow instance starting method, device and equipment and a service system. The method comprises the following steps: starting and sending an approval service request to a message queue, wherein the approval process is at least the same as the approval process of a second service; monitoring a response message fed back by the workflow service in real time in the message queue according to a preset association relationship, the preset association relationship including a corresponding relationship between each type of service and a theme; and when a target response message corresponding to the approval service request is monitored, analyzing the target response message, determining that the workflow instance corresponding to the approval service request is successfully started according to the content in the target response message, and executing the approval operation of each node in the workflow instance according to the workflow instance. According to the method, the starting of the approval process is more accurate and efficient. Moreover, the code change of one party does not affect the code of the other party, so that the code processing time is shortened, and the workflow instance starting and approval efficiency is improved.

The invention discloses a three-dimensional high-precision real-time drift correction method and device. The method comprises the following steps: firstly, acquiring an initial image and establishing an axial stack of the image; secondly, analyzing the axial stack to determine the initial position of the image; then the images are collected in real time, and the relative displacement between the images is calculated through a cross-correlation algorithm; and finally, according to the relative displacement, carrying out system fine tuning to realize sub-nano-scale accurate positioning and drift correction. The device comprises two near-infrared laser light sources which are used for illuminating a sample and a marker; a high frame rate camera for capturing an image; the piezoelectric nanometer displacement table is used for finely adjusting the position of the sample or the optical system; and the processor is configured with a linear fitting algorithm and a cross-correlation algorithm, and is used for calculating the relative displacement between the images and controlling the piezoelectric nano displacement table to perform fine adjustment. According to the invention, the position of the sample is monitored and corrected in real time, so that sample drift possibly occurring in a long-time imaging process is compensated.

The invention relates to the technical field of bioinformatics, in particular to a gene pool data retrieval method and system and a storage medium. The method comprises the following steps: acquiring multi-source genome data, performing quality control on the multi-source genome data based on an FAIR principle, and performing efficient storage and indexing by utilizing a distributed storage system so as to obtain a distributed genome database; performing cross-species homology analysis on the distributed genome database, and constructing a multi-level evolutionary tree model, so as to obtain evolutionary relationship map data; mapping gene structures and functions among different species according to the evolutionary relationship map data so as to obtain cross-species gene mapping data; receiving retrieval query data input by a user; and performing query type identification on the retrieval query data to obtain optimized query data. Through the multilevel evolutionary tree model and cross-species gene mapping, gene function comparison and prediction among different species are realized.

The invention discloses a high-quality formed ginkgo wood furniture manufacturing and processing technology, and relates to the technical field of furniture production, and the high-quality formed ginkgo wood furniture manufacturing and processing technology comprises ginkgo wood selection, ginkgo wood treatment, wood modification, part processing and surface treatment. Before drying, the cut ginkgo biloba boards are subjected to primary treatment, surface impurities are removed, and primary balance treatment is carried out, so that stress concentration in the later drying process is reduced; primarily drying the primarily treated wood, adjusting the thickness and the drying temperature and humidity of the wood, adjusting the temperature in the drying chamber according to the thickness and the initial water content of the wood by using a combined drying technology, and controlling the distance between the wood to be 1 / 10-1 / 8 of the width of the wood through a circulating air drying system. By means of the combined drying technology, dynamic control over the ginkgo wood drying quality is achieved, the problems that the drying process is complex and wood is prone to warping or cracking during drying are solved, the drying period is shortened, wood deformation and cracking are reduced, the physical performance of the wood is improved, and the drying efficiency is improved.

A diffusion preparation method of a Fe-rich high-coercivity samarium-cobalt magnet belongs to the technical field of magnetic material preparation, solves the technical problems that the Fe-rich samarium-cobalt magnet is not easy to form a good cellular structure and the process flow is long, and comprises the following steps: S1, weighing a samarium-cobalt permanent magnet alloy raw material, and preparing an alloy ingot; s2, alloy particles are prepared through a mechanical crushing method, and the alloy particles are prepared into alloy powder; s3, the samarium-cobalt alloy powder is subjected to magnetic field orientation forming and cold isostatic pressing forming, and a green body is prepared; s4, performing sintering solution treatment on the green body to prepare a sintered samarium-cobalt permanent magnet blank, and processing the blank into a samarium-cobalt magnet sheet; s5, performing primary PrCu diffusion treatment on the samarium-cobalt magnet sheet; s6, the magnet sheet is subjected to secondary SnFe diffusion treatment; and S7, performing aging treatment on the secondary diffusion sheet to obtain the samarium-cobalt permanent magnet. The preparation method provided by the invention is easy to operate, control and industrialize, and the prepared Fe-rich sintered samarium-cobalt magnet is excellent in performance.

The invention discloses a primary and secondary collaborative planning method based on a novel power distribution system, and relates to the technical field of power system optimization, and the method comprises the following specific steps: constructing a power distribution network model and fault feature analysis, designing an adaptive protection mechanism, realizing a rapid fault processing mechanism, and performing primary and secondary system collaborative planning. And implementing and verifying: implementing a planning method in the power distribution network, installing and debugging related equipment, carrying out field test, and verifying the effectiveness of an adaptive protection mechanism and a fault rapid processing mechanism, the running state of the power distribution network is monitored in real time, and the protection constant value is automatically adjusted according to the monitored fault characteristic parameters, so that the reliability of the power distribution network is improved. Therefore, the adaptive capacity of the system to a complex and changeable operation environment is remarkably improved, the dynamic adjustment mechanism can quickly respond to dynamic factors of new energy output fluctuation and load change, it is ensured that a protection strategy is always matched with the operation state of the system, and the problem of protection maloperation or operation refusal caused by rigid setting of a fixed value is effectively prevented.

The invention provides a memory preloading processing method and device and a storage medium, and the method comprises the steps that a virtual machine manager collects a plurality of pieces of historical missing page exception information generated by a target application program in a client, and stores the historical missing page exception information according to a plurality of client virtual addresses contained in the historical missing page exception information; determining a target client virtual address to be accessed when the target application program is subjected to page missing exception next time; determining a target host machine virtual address corresponding to the target client virtual address according to the target client virtual address and a storage address of a target client system page table corresponding to the target application program; and controlling the host machine operating system to distribute a target host machine physical address corresponding to the target host machine virtual address, and loading data corresponding to the target host machine virtual address into the target host machine physical address. And the data corresponding to the target client virtual address which may cause the page missing abnormity in the future is loaded into the memory in advance, so that the access delay duration caused by the page missing abnormity is reduced.

The invention relates to the technical field of high-precision machining, and discloses a high-precision complex curved surface machining method which comprises the following steps: S1, designing a three-dimensional model of a complex curved surface by using computer aided design software, and carrying out detailed structural analysis on the model to ensure design feasibility and structural stability; s2, adopting computer-aided manufacturing software, generating an accurate tool path based on an optimization algorithm, and performing iterative optimization on the path to improve the processing efficiency and reduce the resource consumption; and S3, deploying a real-time data monitoring system on the numerical control machine tool, and adjusting machining parameters through an adaptive technology to ensure high precision and high efficiency of the machining process. Through computer aided design and manufacturing software, particle swarm optimization, real-time monitoring and a machine learning model, the precision and efficiency of complex curved surface machining are improved, the machining time is shortened, tool abrasion is reduced, consistency is ensured, deviation is corrected in time, and the product quality and production efficiency are improved.

The invention discloses a confrontation and defense method based on multi-view image super-resolution, and the method comprises the steps: obtaining an attacked image, and enabling the attacked image and a clean image to form a clean image and attacked image pair; inputting the attacked image and the auxiliary view angle image into a network for coding to obtain implicit representation; obtaining a homography matrix from an auxiliary view angle image to an attacked image, and performing spatial transformation on the auxiliary view angle image on a feature level to realize spatial alignment; implicit representation is fused in a feature space through a decoding function, a clean pixel value is obtained by polling each pixel position, and defensive output after the network purifies the attacked image is obtained. The method does not depend on the limitation of a single view angle image, reduces the dependence on the consistency of observation angles, effectively achieves the purification of adversarial disturbance, improves the visual quality of the image, enhances the defense capability of the network for potential adversarial attacks, and can be flexibly applied to an image processing robustness task in a complex real environment.