31results about How to "Increase update frequency" patented technology

The invention relates to a data calibration method suitable for an atmospheric pollutant sensor deployed in an embedded terminal. The method comprises the following steps: acquiring original response data of different sensors with different concentrations in different atmospheric environments after temperature compensation, and corresponding temperature, humidity, air pressure data and sampling time; collecting real concentration values of detection objects corresponding to different sensors at corresponding moments given by a national control station or a provincial control station; preprocessing the obtained data to obtain a final data set; a random forest algorithm is used as a teacher model, a gradient elevator algorithm is used as a student model, and hyper-parameters of the gradient elevator algorithm and the random forest algorithm are optimized by using a hedera helix algorithm; substituting a hyper-parameter optimal solution found by optimization into a corresponding algorithm, and retraining the teacher model and the student model by using hyper-parameter combinations; and deploying, updating and displaying the model in the embedded equipment. And the model size is reduced to realize the deployment of the embedded end on the premise of ensuring the accuracy.

The invention discloses an online knowledge base platform for ensuring knowledge content quality and contributor rights and interests and a business model of the online knowledge base platform, and relates to the field of online knowledge bases. The platform integrates block chains, data encryption and artificial intelligence technologies, and aims to improve the quality of knowledge content and protect the rights and interests of contributors. The platform mainly comprises a block chain system, a data encryption system, an artificial intelligence system, a member management system, an auditor evaluation system, a knowledge content collection system, a knowledge content auditing system, an incentive management system, a template management system, a fund management system, a suggestion supervision system, a point transaction system, an advertisement management system and the like. Through a decentralized knowledge management mechanism, a contributor auditing and evaluating mechanism, a knowledge content providing and auditing mechanism and a contributor right protection mechanism, high quality of knowledge base content and fair reward of contributors are ensured, and sharing and communication of knowledge are promoted.

The invention discloses a road segmentation and path automatic extraction method based on air-ground cooperation, and the method comprises the steps: 1, carrying out the road network extraction through a remote sensing image, controlling an unmanned plane to hover or fly to a certain road point, and collecting a ground image from an airspace perspective; step 2, using a target detection algorithm based on a convolutional neural network to carry out vehicle obstacle identification according to the collected ground image; and step 3, fusing the recognition result of the obstacle into the road network topological graph so as to realize autonomous obstacle avoidance of the ground unmanned platform. The method can assist in improving the autonomous obstacle avoidance capability of the ground unmanned platform, and supports intelligent decision making and flexible operation of the ground unmanned platform in a complex environment.

The invention relates to the technical field of new energy photovoltaic power stations, and provides a numerical weather forecast data updating method and system, and the method comprises the steps: obtaining multi-source weather data and power data; carrying out downscaling processing on the meteorological satellite cloud picture data, and carrying out initial weather prediction to obtain initial weather forecast data; carrying out secondary fusion processing on the initialized meteorological forecast data, the meteorological station data and the sky imager monitoring data, and then carrying out secondary meteorological prediction to obtain multi-source meteorological fusion data; performing three-time fusion processing on the multi-source meteorological fusion data and the power data, and then performing three-time meteorological prediction to obtain historical available meteorological forecast data; sky imager monitoring data and meteorological station data in the next four hours are obtained in real time, historical available weather forecast data are corrected through the obtained data, and real-time available weather forecast data are obtained. According to the invention, high-precision numerical weather forecast data can be obtained, so that the power prediction accuracy of the photovoltaic power station is improved.

The invention relates to the technical field of aviation artificial intelligence, and provides a graph neural network-based space target phase combination screening method, which comprises the following steps of: obtaining a complete catalogue of a space target through an orbit database, and extracting orbit propagation related data; based on all space targets covered in the complete catalogue, establishing a filter framework to screen all target combinations, and constructing a phase combination event set; the combined phase is screened and mapped into a link prediction problem in a graph neural network; a sliding time window method is adopted to construct a graph structure by combining events in a window, and a graph data set is constructed; training the graph neural network model based on the graph data set; by introducing thresholding operation, an edge probability matrix output by the graph neural network model is converted into an adjacent matrix to represent the connection condition between nodes, so that whether a potential phase combination event exists or not is judged. According to the method, the capturing capability of the model on the spatial features can be enhanced, and the combined phase screening efficiency and accuracy are effectively improved.

The application discloses an inductor online detection system with multi-parameter synchronous acquisition, and particularly relates to the technical field of inductor online monitoring, and comprises: a distortion detection module which triggers synchronous acquisition of voltage, current and temperature based on a saturation distortion capture threshold; a flux linkage analysis module which performs nonlinear flux linkage analysis to generate instantaneous differential inductance of each sampling point; a window average module which averages the instantaneous differential inductance of each sub-window in a switching cycle to obtain a window differential inductance value sequence and a change rate thereof; and a risk assessment module which assesses a risk level and gives an early warning according to the temperature, the window differential inductance and the change rate thereof. The application generates instantaneous differential inductance at each sampling point through nonlinear flux linkage analysis, thereby breaking the linear inductance hypothesis. Based on the window differential inductance sequence and the change rate thereof, the time resolution is improved, and early warning is realized. The distortion capture threshold and the integral time window length are adjusted in a closed loop through feedback parameters, thereby realizing adaptive optimization detection.

The invention provides a vehicle positioning method, device and equipment and a storage medium, and relates to the technical field of navigation, and the method comprises the steps: calculating the first positioning data of a target vehicle at the current moment according to the measurement data of a navigation satellite at the current moment; calculating second positioning data of the target vehicle at the current moment according to measurement data of the inertial measurement unit of the target vehicle at the current moment; obtaining lane line image information of a lane where the target vehicle is located, and determining transverse distance information of the target vehicle relative to a lane line according to the lane line image information; calculating third positioning data of the target vehicle at the current moment according to the first positioning data and the second positioning data; and correcting the third positioning data according to the transverse distance information to obtain fourth positioning data of the target vehicle at the current moment. The method integrates three positioning modes of satellite navigation, inertial navigation and environment feature matching, overcomes the defects of a single positioning mode, and has the advantages of high positioning precision, stable work and high positioning information updating frequency.

The application discloses a tunnel construction process automatic monitoring method, and belongs to the technical field of tunnel engineering construction monitoring. The method comprises the following steps: step 1, automatic monitoring equipment is arranged at key positions of a tunnel opening area, an advanced support section, an excavation face, an initial support structure, a waterproof layer construction area and a secondary lining structure; step 2, each automatic monitoring equipment is started, and monitoring data is collected at a preset sampling frequency; step 3, after receiving the monitoring data, a central monitoring platform uses a big data analysis algorithm to deeply process the monitoring data; and step 4, the central monitoring platform feeds back monitoring results and early warning information after analysis to a tunnel construction control system in real time. The application realizes real-time data acquisition and analysis through 5G technology, especially the UWB positioning system collects data once per second, realizes instant acquisition and analysis of monitoring data, and compared with traditional manual monitoring, the data update frequency is improved by tens of times, and abnormal conditions in the construction process can be found in time.

The improved three-level model-free predictive current control method of permanent magnet synchronous motor of the present invention first determines the relevant current reference value by giving the rotation speed; then judges the type of the currently applied voltage vector and the voltage set number, and then calculates the current difference corresponding to the basic voltage in each voltage set based on the current dq axis current difference through the corresponding rules, thereby realizing the calculation of the dq axis current difference used by all voltage vectors and updating the current difference lookup table; then calculates the predicted value of the dq axis current at the k+1 moment, and outputs the basic voltage vector that minimizes the value function through rolling optimization. The present invention fully adapts to the market trend of three-level inverter application, and the corresponding control does not require specific motor parameters to participate in the calculation, effectively alleviates the influence of model adaptation on system control performance, and effectively solves the problem of stagnation of current difference update in traditional model-free predictive current control.

The embodiment of the invention provides a rail transit multi-specialty fusion-based vehicle positioning deviation correction method, which comprises the following steps that: the speed information of a vehicle is obtained, and the speed information is used for determining the positioning information of the vehicle; determining the detection quality of the anchor section joint points according to the number of the anchor section joint points in the vehicle driving interval and the actual number of the anchor section joint points; and determining a positioning deviation correction strategy of the vehicle according to the anchor section joint point detection quality. According to the vehicle positioning correction method based on rail transit multi-specialty fusion provided by the embodiment of the invention, the dependence of the system on hardware facilities can be reduced, and the accuracy and updating frequency of positioning data are improved.

The invention relates to a rapid positioning detection method for a high-precision pipeline route. The method comprises the following steps: S1, firstly, putting a detection device into a pipeline along the flowing direction of a fluid medium; s2, starting a measuring instrument of the head mechanism, performing data fusion by a Kalman filter, and transmitting the data to a control center of the head mechanism in real time; s3, opening a fan plate, and then starting propellers on the head mechanism and the propelling mechanism: the two mechanisms work together to realize the swimming and steering movement of the detection device in the pipeline, and detecting the condition in the pipeline by using a sensor; s4, when the head mechanism detects that the flow velocity in the pipeline changes suddenly, the sector plate is withdrawn, the position and range of the flow velocity change are recorded, a warning signal is sent out through a control center of the head mechanism, and then other parts in the pipeline continue to be detected; and if the signal cannot be sent, ending detection and immediately returning. According to the invention, the pipeline can be automatically, efficiently and automatically detected, the accuracy is high, the real-time performance is good, the labor cost is reduced, and the manual operation risk is reduced.

The invention relates to the technical field of information, and discloses a merchant multi-video-number sales operation system and method based on data linkage, and the system comprises a real-time monitoring module, a data cleaning module, a data collection module, a data processing module, an optimization module and a management module. According to the real-time monitoring, data of multiple video numbers of a merchant is monitored in real time through monitoring equipment and a sensor so as to obtain a data source, a data cleaning module deletes, cleans and corrects the obtained data, a data acquisition module calculates a cross-platform integration index # imgabs0 #, inventory management accuracy # imgabs1 # and cross-platform operation integration efficiency # imgabs2 #, and the cross-platform integration index # imgabs0 #, the inventory management accuracy # imgabs1 # and the cross-platform operation integration efficiency # imgabs2 # are integrated into a database. The optimization module correspondingly adjusts the parameters of the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit according to the calculation result, and the management module adjusts the parameters of the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit according to the adjustment information. And an optimization instruction is issued to the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit.

The invention relates to the technical field of security verification, in particular to an intelligent data security verification method, which comprises the following steps: periodically sending a verification instruction; performing transmission processing on each encrypted character string; the method comprises the following steps: extracting transmitted data and to-be-transmitted data to perform hash verification, dividing transmission levels of each group of transmitted data based on a generated hash value, determining whether the transmission condition of the data is qualified or not according to the proportion condition of each transmission level, and processing the abnormal condition when the data is determined to be abnormal. The verification efficiency of the data network is improved, and the security of data transmission in the network is improved.

The invention belongs to the technical field of Internet of Things data security, and provides an Internet of Things data confidentiality reading method and system based on a block chain, traced key fragments in a plurality of key fragments on the block chain are analyzed, the overall leakage difficulty degree of the multi-key fragments is evaluated, and for a storage hard disk with a relatively low leakage difficulty evaluation value, the leakage difficulty of the storage hard disk is evaluated. For a hard disk with high risk, key management needs to be enhanced, when a multi-key fragment easy-to-divulge signal is generated, a reference time consumption interval is acquired, and dynamic delay optimization operation is performed on time consumption for reading the traced key in the whole multi-key fragment according to the reference time consumption interval, so that the time consumption of the traced key in the whole multi-key fragment is reduced, and the time consumption of the traced key in the whole multi-key fragment is reduced. According to the method, different traced key fragments are endowed with different delay adjustment amounts according to the traced reading delay adjustment interval, the reading time consumption difference is increased, and the analysis and prediction difficulty of an attacker is increased, so that attack behaviors are effectively resisted, and the confidentiality of Internet of Things data in a block chain environment is guaranteed.

The present invention discloses a three-stage dissolved gas device of micro-nano flotation, belonging to the technical field of environmental water treatment. The present invention comprises a tank body, a diversion mixing water inlet pipe is arranged inside the tank body, the diversion mixing water inlet pipe is divided into two sections and arranged inside and outside the tank body respectively, and a plurality of vertical water distribution pipes are arranged at the end of the diversion mixing water inlet pipe inside the tank body. The present invention is provided with a plurality of vertical water distribution pipes at the end of the diversion mixing water inlet pipe inside the tank body, air holes are arranged at the top of the branch pipe, a plurality of transverse slits are arranged on the side wall, and the projection has a certain angle. The liquid forms a water curtain through the transverse slit to fully contact the upper gas layer of the tank body, the gas-liquid interface is updated frequently, and the gas dissolution is accelerated; an air inlet is arranged on the diversion mixing water inlet pipe placed outside the tank body, the gas is initially mixed and dissolved in the diversion mixing water inlet pipe, and the excess gas is discharged into the gas layer in the pipe from the air holes at the top of the vertical water distribution pipe. Through the three-stage dissolved gas setting and the water curtain water distribution method, the dissolved gas efficiency can be effectively improved.

This application provides a hydrophilic-phobic composite trench surface for enhancing droplet condensation heat transfer under high subcooling and its preparation method. The surface is formed by processing a metal substrate and includes an array of superhydrophilic micro-grooves and hydrophobic ridges protruding between the grooves. Hydrophilic stripes are provided on both sides of the top of the hydrophobic ridges and are connected to the liquid film of the superhydrophilic micro-grooves. The preparation method includes four steps: metal substrate pretreatment, laser marking of the superhydrophilic micro-groove array, preparation of the hydrophobic ridges, and secondary laser marking of the hydrophilic stripes. This invention achieves directional and rapid transport of droplets on the ridges through the liquid film communication effect between the hydrophilic stripes and the superhydrophilic micro-grooves, significantly increasing the droplet renewal frequency, maintaining droplet condensation for a long time and avoiding flooding, thus significantly enhancing heat transfer efficiency. The preparation process is simple, has high processing precision, low cost, and is easy to achieve industrial mass production.

The invention discloses an intelligent body perception method based on wearable mobile positioning image acquisition equipment. The method comprises the steps of equipment wearing and mode setting, mobile positioning module behavior perception, image acquisition module environment perception, rear-end analysis module body perception modeling and visual platform integrated display. Based on wearable intelligent equipment, behavior information of an individual in a city space under a long time span is accurately tracked through a mobile positioning module, time-sharing space environment information is recorded through an image acquisition module, and an intelligent agent model is established through a back-end analysis module. The method can be used for personal perception of environment and behavior in the field of urban intelligent perception, realizes accurate identification of environment and behavior association features, and better serves urban decision making.

The utility model provides a kind of compact electrochemical ozone water catalytic electrode module for household appliance and electrolytic device applied the electrode module, it is related to electrochemical water treatment technical field for household appliance. It aims at solving the problem that existing " sandwich " flat plate structure electrode group stores ozone bubble and is difficult to escape. The electrode module includes anode assembly and cathode assembly. Anode assembly is provided with titanium base support plate, and vertical fixed anode electrode sheet;Cathode assembly is provided with the metal support plate symmetrical with titanium base support plate, and vertical fixed cathode electrode sheet. Titanium base support plate and metal support plate are provided with mounting portion, for threading bolt. After anode electrode sheet and cathode electrode sheet are staggered nested, they are electrically connected by bolt, and catalytic electrolysis function is realized. The electrode module of the utility model effectively avoids that ozone gas is invalidly gathered on electrode surface, so that ozone bubble can smoothly escape, prevent bubble cover layer from forming, thereby improve electrolytic efficiency, slow down anode corrosion, prolong equipment life.

An electroplating apparatus and processing method for ultra-thick circuit boards are disclosed. The electroplating apparatus includes an electroplating tank for containing a plating solution, in which a plate to be plated with through holes is placed. A spraying component includes a first spraying unit comprising multiple nozzles, the first spraying unit being disposed on one side of the plate to be plated, the nozzles of the first spraying unit being inclined relative to the surface of the plate to be plated, for spraying plating solution onto adjacent areas of the plate to be plated. A driving mechanism is provided to drive the first spraying unit to move relative to the plate to be plated during the spraying of plating solution. This invention enables the inclined sprayed plating solution to continuously act on adjacent areas of different regions of the plate to be plated during movement, increasing the local plating solution renewal frequency and improving the plating solution exchange conditions in the through hole opening area.

The application discloses an NB-IoT access signal quality prediction method, system and device and a storage medium. The method comprises the following steps: acquiring wireless signal measurement data of a plurality of different network entity objects in a preset area and performing feature extraction to obtain wireless signal features and geographical position information of the network entity objects; the preset area is divided into a plurality of grid areas, and the wireless signal features of the network entity objects in each grid area are counted to obtain NB-IoT signal grid features and 4G signal grid features of each grid area; a grid feature correlation model of the preset area is established; the 4G signal area features of a target area are acquired, the 4G signal area features are matched, target NB-IoT signal grid features are obtained, and then the NB-IoT access signal quality of the target area is predicted. The application improves the efficiency and accuracy of the NB-IoT access signal quality prediction and can be widely applied to the technical field of Internet of Things.

This utility model discloses a feed preheater with multi-strand spiral flow channels, belonging to the technical field of material preheating equipment. The preheater includes a feed pipe with a feeding mechanism featuring spiral blades inside. A jacket is fixed to the outer wall of the feed pipe, and a preheating mechanism is located inside the jacket. The preheating mechanism includes a multi-strand spiral tube surrounding the outer wall of the feed pipe, a main medium inlet, an inlet branch pipe, an outlet branch pipe, and a main medium outlet. The preheating medium enters through the main medium inlet, is evenly distributed to each flow channel of the multi-strand spiral tube through the inlet branch pipe, and after heat exchange, collects at the outlet branch pipe and is discharged through the main medium outlet. This utility model solves the problem of uneven heating caused by a single flow channel in the prior art by using external multi-strand spiral tubes. Simultaneously, it utilizes internal spiral blades to agitate the material and enhance heat transfer. Through synergistic effects, it significantly improves preheating efficiency and temperature uniformity, and the equipment has a compact and reliable structure.

The invention provides a catering oil fume online monitoring system and method, and belongs to the technical field of environmental monitoring, the system comprises an equipment selection module, a preprocessing module, an emission list module and an early warning module, VOCs data in catering oil fume are collected in real time through online monitoring equipment, high-activity components are determined in combination with existing research, and the VOCs in the catering oil fume are monitored in real time. Collected oil smoke is subjected to crude extraction and pretreatment, a VOCs emission list is constructed, emission characteristics of different components are analyzed, activity characteristic analysis is carried out in combination with environmental data, early warning is achieved, the timeliness and accuracy of monitoring are improved, the updating frequency of VOCs emission data is increased, the pollution condition is reflected in time, the influence of environmental factors on the monitoring result is reduced, and the monitoring efficiency is improved. And the data reliability is improved.

The present application discloses a set-top box content update method, device, electronic device and readable storage medium, which are applied to the field of set-top box technology. The set-top box content update method includes: detecting whether a target application has been installed in the set-top box; if the target application has been installed in the set-top box, obtaining third-party application data of the target application; after determining that the third-party application data is local application data, monitoring whether there is application update data in the database of the local application data; if the application update data exists in the database of the local application data, parsing the application update data, and updating the set-top box content based on the parsed application update data. The present application solves the technical problem of poor timeliness of set-top box content update in the prior art.

This invention discloses a rotary reaction apparatus and process suitable for high-temperature molten salt pyrolysis of biomass. The reaction apparatus includes a molten salt purging device, a molten salt inlet, a compartmentalized molten salt tank, an integrated stage, a nickel-based alloy mesh, a motor, a reaction apparatus shell, a gas detection system, a temperature detection and control system, baffles, and a heating layer. The apparatus is made of high-temperature and corrosion-resistant materials, making it suitable for high-temperature and highly corrosive environments. Based on the synergistic effect of the molten salt characteristics and the reaction apparatus, the utilization efficiency of the molten salt is effectively improved and the mass and heat transfer processes are enhanced through the significant thinning and renewal rate of the liquid film under hypergravity conditions. By adjusting the molten salt feed rate and the rotation speed of the rotary table, the pyrolysis process under different mass and heat transfer efficiencies can be explored. This invention can be extended to reaction systems such as liquid metals. The assembly of this invention is relatively efficient, with low investment, and it can explore the influence of mass and heat transfer during the pyrolysis process on the products, thereby obtaining relevant thermodynamic and kinetic parameters.

The invention discloses a device and a method for mineralizing CO2 in flue gas by using solid waste, and belongs to the technical field of carbon sequestration. The mineralization reactor is provided with a nozzle and a microbubble generator, solid waste slurry enters the mineralization reactor through the nozzle in a jet flow mode, and flue gas enters the mineralization reactor through the microbubble generator in a microbubble mode; microbubbles can be reserved for a longer time, meanwhile, a large amount of gas-liquid phase interface area is provided, the turbulent mixing degree of gas and liquid can be increased and the updating frequency of the gas-liquid phase interface can be increased by slurry in a jet flow mode, CO2 in flue gas can be fully absorbed and reacted under the combined action of the slurry and the gas-liquid phase interface, the mineralization efficiency is remarkably improved, and the energy consumption is reduced. And the obtained carbonate product is small in particle size and high in quality.

The present invention provides a cache method and system based on serverless computing, the method comprising: running multiple fine-grained application functions obtained by splitting a target application in respective independent containers; allocating local cache resources to each of the application functions through a chemical reaction optimization algorithm; placing each of the application functions and its local cache in the function service runtime, the local cache of each of the application functions can transparently manage the data accessed by the application during the operation, and different application functions can access each other through the local cache. The present invention sets a cache in each application function, which can transparently manage program data during operation and realize mutual access of caches between functions. A serverless cache expansion algorithm based on a chemical reaction optimization algorithm is used to optimize cache resources through a chemical reaction optimization algorithm and factors such as computational effort and cache size are taken into account in the allocation of cache resources.

The present invention relates to the field of current control, and in particular to a current gradient updating method and device based on a hyperlocal model and a sliding mode observer. The method and device discretize a permanent magnet synchronous motor model based on a hyperlocal model, combine the voltage vector corresponding to the inverter, obtain the current gradient corresponding to the voltage vector, use the sliding mode observer to observe the parameters involved in the hyperlocal model, and update the current gradient in combination with the hyperlocal model. The updating frequency of the current gradient is increased, thereby improving the accuracy of current prediction and the control performance of the system.

The invention belongs to the technical field of robot positioning and computer vision, and provides a non-intrusive positioning method, system, device and medium for a robot in a cockpit, the method is realized based on a 3D Gaussian splashing technology, and the method comprises the following steps: in an offline state, constructing a high-fidelity three-dimensional digital model capable of generating a virtual image; before a task is executed, calculating an initial six-degree-of-freedom pose of the visual sensor under a target cockpit coordinate system; in the execution process, the initial six-degree-of-freedom pose is used as the current estimation pose of the first iteration, and the pixel-level luminosity error between the virtual image and the real image is calculated in real time; and solving a six-degree-of-freedom pose increment through a luminosity error, superposing the six-degree-of-freedom pose increment to a current visual sensor pose, updating to obtain a current estimated pose, inputting the current estimated pose into next iteration, and carrying out drifting-free continuous estimation of the robot. According to the method, centimeter-level, drifting-free and marker-free high-precision closed-loop positioning can be realized, and the aviation airworthiness requirements are met.

This application discloses a battery maximum capacity update method, apparatus, electronic device, and product, belonging to the field of artificial intelligence. When a battery charging event is detected and the battery state meets a preset low-charge condition, a battery capacity update process is triggered. Based on the battery's resting state before the charging event, an initial charge reference value is determined. During charging, a first charge parameter representing the amount of charge received by the battery is accumulated, and a second charge parameter representing the amount of charge discharged by the battery is monitored. When the second charge parameter exceeds a preset first threshold, the capacity update process is terminated. When the battery reaches a fully charged state and the first charge parameter exceeds a preset second threshold, the maximum battery capacity is calculated and updated based on the initial charge reference value and the first charge parameter. The battery maximum capacity update method provided in this application can effectively improve the capacity update frequency while adapting to complex operating conditions.

The invention discloses an intelligent bag taking method and system based on target recognition analysis, and relates to the technical field of target recognition. The method comprises the following steps of bag taking interference analysis, bag taking identification analysis and bag taking decision feedback. According to the method, the bag taking interference analysis result is obtained based on the bag taking identification interference parameters so as to judge whether to carry out image dynamic acquisition adjustment or not, if yes, bag taking dynamic identification analysis is carried out after the image dynamic acquisition adjustment is carried out, and if not, bag taking dynamic identification analysis is directly carried out; recognition errors caused by ambient light changes or other factors are effectively avoided, recognition of the bag taking action is more accurate, whether a bag taking decision feedback mechanism is triggered or not is judged after bag taking dynamic recognition analysis is conducted, if yes, bag taking decision feedback is executed, and if not, image dynamic recognition optimization is executed, so that the bag taking action is more accurate. The reliability of the automatic bag taking machine in actual operation is effectively improved, and then recognition of the bag taking process of the automatic bag taking machine is more accurately carried out.