739results about How to "Effective distribution" patented technology

The invention relates to the field of parking lot management, in particular to a parking management method and system based on data analysis. The method comprises the following steps: acquiring real-time state information of a parking lot and a historical parking monitoring log of the parking lot; analyzing the dynamic characteristics of the vehicle in the fixed parking space according to the real-time state information of the parking lot, and predicting the available time so as to generate the predicted available time of the fixed parking space; acquiring traffic flow data of a target parking lot area; performing multi-section traffic flow analysis on the traffic flow data of the target parking lot area, and performing traffic flow time sequence trend evolution to generate real-time road state characteristics of the target area; and performing time sequence parking demand analysis on the historical parking monitoring log of the parking lot, and performing dynamic parking demand prediction of the target parking lot according to the real-time road state characteristics of the target area so as to generate a dynamic parking demand prediction value. According to the invention, parking lot management with high efficiency and high utilization rate is realized.

The invention discloses a patient nursing strategy optimization system for nursing in the department of hepatobiliary and pancreatic, and relates to the technical field of nursing strategy optimization. The nursing strategy optimization platform is in communication connection with a patient information management module, a knowledge base module, a nursing evaluation module, a nursing strategy plan making module, a nursing implementation module, a communication and cooperation module and a nursing effect evaluation module. According to the patient nursing strategy optimization system for nursing in the department of hepatobiliary and pancreatic, data in multiple aspects of physiology, psychology, society and the like of a patient are comprehensively collected and analyzed through the integrated nursing evaluation module, and key indexes such as vital signs, pain degree, nutritional status, sleep quality and the like are monitored and evaluated in real time; in addition, a personalized nursing plan provided by the system is combined with specific requirements and illness state changes of the patient, so that the nursing service better fits the actual condition of the patient.

The invention provides a chip production logistics network optimization method and system based on a graph neural network model, and relates to the technical field of chip production logistics optimizing.The method comprises the steps that logistics data of a plurality of process nodes of a chip production line are collected, node criticality scores are calculated, node types are determined, and the node types are determined; constructing a multi-level logistics network diagram comprising a material transmission edge and a priority-based resource competition edge; the method comprises the following steps: dividing logistics sub-networks, determining association strength among the sub-networks, constructing a sub-network state predictor and a cooperative scheduling module, and inputting a network topology structure and node features into a graph neural network for training to obtain an optimization model; and predicting a sub-network state change based on the optimization model to generate a resource allocation scheme and a node scheduling sequence, triggering an adjustment mechanism when a prediction state exceeds a threshold value, re-planning a material allocation and transmission path, and finally converting the scheme into an equipment control instruction and issuing the equipment control instruction to a process node.

The invention discloses an AI-based linkage response and control system, belongs to the technical field of safety monitoring, and aims at solving the problems of comprehensive and real-time acquisition, accurate analysis, timely early warning and decision making of environmental data so as to realize early warning and quick response of a fire disaster. The system comprises a data acquisition module, an AI analysis module, an AI identification module, an AI decision module and an execution terminal robot. The data acquisition module is used for acquiring environmental data of a monitoring sensor and a monitoring camera in a target scene; the AI analysis module is used for processing and analyzing the environmental data acquired by the monitoring sensor and outputting a sensor abnormal area; the AI identification module is used for analyzing an environment video stream acquired by the monitoring camera in real time and outputting a camera abnormal area; the AI decision module is used for further evaluating the abnormal region and dividing abnormal levels; and the execution terminal robot is used for performing real-time response and control on the abnormal area in the control room according to the abnormal level.

The invention relates to the technical field of information processing, in particular to an electronic information dynamic scheduling and management system and method, and the system comprises a data flow dynamic monitoring module, a dynamic window adjustment module, a data distribution module and an instruction flow recombination module. According to the invention, the adaptability and flexibility of data processing are improved by monitoring the data flow in the electronic information in real time and carefully analyzing the size and type change, and the dynamic adjustment of the data processing window is realized by identifying the peak value and valley value of the flow and analyzing the flow fluctuation amplitude. By analyzing the dependency relationship and potential delay between execution instructions and re-arranging the instruction execution sequence, the system can more effectively distribute the load of a processor core, reduce the delay and enhance the processing speed, thereby not only optimizing the management of electronic information flow, but also enhancing the adaptive capacity of the system to a complex data environment, and improving the user experience. And a more efficient and safer information processing platform is provided.

The invention discloses a course learning planning system based on a computer, and relates to the technical field of course learning planning, and the course learning planning system comprises a learning data acquisition module, a knowledge graph construction module, a learning index scoring module, a multi-index comprehensive evaluation module, a learning plan making module and a real-time progress feedback module. Wherein the modules are connected through electric signals; the learning data acquisition module is used for collecting learning data of students and determining evaluation indexes of the learning data. According to the course learning planning system based on the computer, by monitoring the learning progress and achievement of students, instant learning feedback is provided for the students, so that the students can quickly know the learning state of themselves, related learning resources and exercises are intelligently recommended according to the learning conditions of the students, the students are helped to consolidate knowledge and make up for deficiencies, and the learning efficiency is improved. Students can achieve a higher learning effect in a shorter time, and the learning efficiency is improved.

The invention relates to the technical field of motor shaft manufacturing, in particular to automatic milling equipment for motor shaft manufacturing. Comprising an equipment frame; a bottom plate is installed on the equipment frame, a milling mechanism used for milling a motor shaft from the side face is arranged on the rear side of the upper end of the bottom plate, and a fixing mechanism is arranged on the front side of the upper end of the bottom plate. According to the invention, the fixing mechanism firstly fixes and straightens the motor shaft, then the motor shaft is subjected to self-adaptive pressing through the pressing part, and then the milling mechanism mills the motor shaft from the side surface and cooperates with a cutting fluid, so that chippings generated in the milling process can be discharged from a key slot, and the damage to the key slot and a milling cutter is avoided; and the pressing part moves along with the milling mechanism in the milling process of the milling mechanism, so that the milling part of the milling cutter is relatively extruded and supported, the stability of the motor shaft is improved, vibration is reduced, and the milling quality of the key groove of the motor shaft is improved.

The invention relates to the technical field of hierarchical storage, in particular to a photo-electromagnetic storage method and system based on hierarchical management, and the method comprises the following steps: collecting read-write speed, error rate, durability and cost data of optical storage and electromagnetic storage media, carrying out the sorting and grading processing of the data according to the read-write speed and the error rate, and carrying out the sorting and grading processing of the data; and performing score calculation on each storage medium to obtain a medium performance score. According to the method and the device, the data is effectively distributed to the most suitable storage medium by accurately scoring the performance of the storage medium and combining specific requirements of the to-be-stored data, so that the data access speed and efficiency are improved, the total storage cost is reduced, and particularly, when a large amount of data is processed, the data compression level and the encoding format are dynamically adjusted, and the data compression efficiency is improved. The storage efficiency of the data is further optimized, data redundancy is reduced, the overall performance of data storage and access is remarkably improved through optimization measures, and meanwhile long-term safety and integrity of the data are ensured.

The invention provides a coal mine gas inspection task generation and distribution method and system, and relates to the technical field of coal mine safety management. The method specifically comprises the following steps: acquiring coal mine geologic structure distribution data and coal mine gas real-time concentration distribution data, and carrying out spatial topology simulation analysis and gas distribution matching to obtain a coal mine gas real-time distribution simulation space; performing wind power distribution detection and wind stopping area division processing on the coal mine to obtain a coal mine gas distribution space fixed wind stopping area and a coal mine gas distribution space temporary wind stopping area; and performing zoned gas leakage hot spot analysis and inspection task generation processing on the coal mine gas distribution space fixed blowing-out area and the coal mine gas distribution space temporary blowing-out area, and performing inspection capability detection and inspection task distribution processing to obtain a coal mine gas inspection task distribution result. According to the invention, the gas inspection efficiency and safety are effectively improved.

The invention discloses a Beidou-based slope monitoring and early warning system evaluation method, particularly relates to the technical field of system monitoring, and is used for solving the problem that a fault of an existing slope monitoring and early warning system is not found in time. Analyzing a time synchronization function of the Beidou system to realize data synchronization between the target sensors and analyzing automatic calibration conditions of the target sensors; on the basis that the data synchronism is normal and the sensor is reliable to use, the consistency of data fusion is further analyzed through an entropy theory, vibration influence evaluation and adaptability evaluation caused by a vehicle are analyzed, key monitoring is conducted for a high-risk time period, and through comprehensive analysis, the accuracy of data fusion is improved. The system can generate detailed early warning information for a specific monitoring scene, the safety of slope monitoring and the accuracy of early warning are enhanced, the data processing efficiency is improved through the staged processing flow, and disasters and accidents caused by inaccurate data or improper analysis are effectively prevented.

The invention relates to the technical field of enameled wire cooling, in particular to an enameled wire cooling device for enameled wire production. The water cooling device comprises a water cooling box, cooling liquid is contained in the water cooling box, at least two sets of conveying assemblies are arranged in the water cooling box, each conveying assembly comprises a rotating motor arranged on the side wall of the water cooling box, the output end of each rotating motor penetrates through the water cooling box, a transmission roller is arranged at the end of each rotating motor, a limiting roller is arranged above each transmission roller, and an adjusting assembly is arranged above each limiting roller; varnished wires pass through the through holes formed in the sponge mat and are adsorbed by the sponge mat through water on the surface of the through holes, so that the varnished wires are automatically dried, when much water is adsorbed in the sponge mat, the telescopic rods are shrunk by pressing the pressing plates, and the compression springs are compressed in the shrunk process of the telescopic rods; and water adsorbed in the sponge pad overflows under the extrusion force of the pressing plate, so that the cooled enameled wire is quickly dried and dehumidified.

The utility model discloses soybean grinding equipment for making soybean flour, which comprises a base, a grinding device and a feeding table are arranged on the base, the grinding device comprises an upper crushing box and a lower discharging bin, the upper crushing box is connected with the lower discharging bin through a grinding part, a feeding hopper is arranged on the upper crushing box, and a discharging hopper is arranged on the lower discharging bin. A discharging opening is formed in the bottom of the side wall of the lower discharging bin, two crushing rollers are rotationally arranged in the upper crushing box, the grinding part comprises an upper conical hopper, a lower conical hopper and a straight pipe, a driving shaft is rotationally arranged in the lower discharging bin, and an upper grinding roller and a lower grinding roller are arranged on the driving shaft. Compared with the prior art, the soybean grinding device has the advantages that when soybeans are preliminarily ground, secondary grinding on ground soybean particles is realized through the elaborately designed upper grinding roller and lower grinding roller under the action of the upper conical hopper and the lower conical hopper, so that ground soybean powder is finer and smoother.

The invention discloses a cooling system, a control method of the cooling system and an edge server, and relates to the technical field of servers, and the cooling system comprises a refrigeration module and a vapor chamber module. The refrigeration module is used for being arranged outside the case and comprises a generator and an evaporator, and the generator and the evaporator are used for being arranged at a first heat conduction contact position and a second heat conduction contact position of the case correspondingly; the vapor chamber module is used for being arranged in a case and comprises a first vapor chamber set and a second vapor chamber set, the first vapor chamber set is used for being fixed to a heating assembly in the case, and the second vapor chamber set is connected with the first vapor chamber set. And the second uniform temperature plate group is configured to be in heat-conducting contact with the generator at the first heat-conducting contact position and in heat-conducting contact with the evaporator at the second heat-conducting contact position. The cooling system solves the problem that long-term stable work of equipment cannot be guaranteed when a current edge server works in an outdoor environment.

The invention discloses a phased array radar for unmanned aerial vehicle detection based on multi-target tracking, which comprises a radar antenna array, a signal processing unit, a control unit and a display unit, and is characterized in that the control unit comprises a motion state judgment module; a filtering switching module; a Kalman filtering module; a particle filtering module; and a data association module. The method can achieve the high-precision detection and positioning of an unmanned plane target, has a multi-target tracking capability, and improves the detection efficiency and accuracy of the unmanned plane.

The invention relates to the technical field of land resource management, in particular to a land resource management method and system based on big data analysis. The method comprises the following steps: acquiring multi-source land resource acquisition data; carrying out asynchronous parallel data acquisition on the multi-source land resource acquisition data so as to generate multi-source land resource real-time acquisition data; performing request-response optimization on the multi-source land resource real-time acquisition data to generate a self-optimization transmission parameter set; performing precision error correction on the standard multi-source land resource real-time data by using the self-optimization transmission parameter set to generate land resource correction data; performing nonlinear feature enhancement processing on the land resource correction data to generate a nonlinear enhanced feature matrix; and performing dimension compression processing on the nonlinear enhanced feature matrix to generate a multi-dimensional spatial-temporal feature matrix. According to the invention, the comprehensiveness and accuracy of land resource management are improved by improving data acquisition, processing, prediction and planning methods.

The invention relates to the technical field of image processing, in particular to a method for judging the image blurring degree based on an airfield pavement FOD monitoring system. Comprising the following steps: selecting a reference image; edge detection and energy value calculation; collecting and marking image data; constructing a deep learning model; training a deep learning model; and evaluating and predicting. According to the design, before FOD detection is carried out, the fuzzy degree of the detected image is detected, and the image which does not affect foreign matter detection is screened out for subsequent operation; by understanding the application of the image blurring degree in FOD detection, the efficiency, accuracy and stability of a detection system can be remarkably improved, manual intervention is reduced, the automation level is improved, resource utilization is optimized, and a solid guarantee is provided for airport safety and operation.

The invention discloses a traffic meteorological data fusion method based on inverse distance weight interpolation, and relates to the technical field of traffic meteorological data fusion. The traffic meteorological data fusion method based on inverse distance weight interpolation comprises the following steps: acquiring longitude values, latitude values and visibility measurement values of a plurality of time points of each traffic meteorological station in a set area; each traffic weather station in the set area is screened and analyzed based on the visibility measurement values of the plurality of time points to obtain a plurality of effective traffic weather stations, and the data from different time points and places are integrated and analyzed, so that the data utilization rate and accuracy are remarkably improved; the time sequence analysis of the visibility helps to understand the behavior pattern of each station changing with time, the spatial analysis ensures the continuity and consistency of data in geography, and the integration method optimizes the data processing flow, so that the visibility prediction is more accurate, and the complex traffic and meteorological condition analysis is effectively supported.

The invention discloses an enterprise supply chain side evaluation method and system based on big data, and provides an innovative solution for the problems of low data processing efficiency, weak analysis and prediction ability, insufficient causal relationship analysis, decision support lag and the like in supply chain management. The method comprises the steps of integrating and processing real-time data, deeply analyzing the data by using an advanced analysis and prediction module in combination with a mathematical model and a machine learning algorithm, deeply understanding a causal relationship in a supply chain through a causal relationship analysis and optimization module, and finally accelerating a decision process through a visualization and decision support module. According to the system, through modular design and an advanced algorithm, the supply chain management efficiency and scientificity are remarkably improved, and comprehensive evaluation and optimization of the supply chain are achieved. The invention aims to solve the problem of improving the efficiency, accuracy and scientificity of enterprise supply chain management under the background of big data so as to adapt to rapidly changing market demands and a complex supply chain network.

The invention discloses an adjustable cable preparation wire drawing forming machine, and relates to the technical field of cable wire drawing forming machines, the adjustable cable preparation wire drawing forming machine comprises a shell, a fixing block is rotatably connected in the shell, a round rod is fixedly connected to the outer side of the fixing block, a spur gear is fixedly connected to the outer side of the round rod, and a through hole is formed in the fixing block; an arc block is fixedly connected to the inner wall of the through hole, a positioning assembly is arranged in the middle of the interior of the fixing block, a rotating wheel is slidably connected to the through hole, a fixing plate is rotatably connected to the outer side of the rotating wheel, an elastic plate is fixedly connected to the outer side of the fixing plate, and a guide assembly is fixedly connected to the end, away from the rotating wheel, of the fixing plate. According to the adjustable wiredrawing forming machine for cable preparation, the guide assembly makes contact with the outer side of a copper wire, the copper wire can advance in the preset direction in the wiredrawing process, deviation or bending cannot occur, a stable path is provided for wiredrawing of the copper wire, and the copper wire is prevented from deviating from the correct path in the wiredrawing process.

The invention belongs to the technical field of industrial cooling, and particularly relates to a microflow cold liquid temperature control cooling system, method and device, and the system comprises a main control board which is internally provided with a main control module; the micro liquid pump is in signal connection with the main control module; and the cold liquid pipelines are arranged at two ends of the micro liquid pump. According to the system, method and device, liquid is driven to flow through the micro pump, at the moment, the liquid can absorb and dissipate heat more efficiently due to the characteristics of high heat capacity and heat conductivity, heat can be conducted and dissipated from a heating source quickly and effectively through effective cooperation of the metal heat conduction block, the heat conduction copper pipe, the heat dissipation fins and other components, and the heat dissipation efficiency is improved. Intelligent control over the system is achieved through the main control module, the flow speed of cooling liquid can be automatically adjusted according to actual temperature changes so that the optimal heat dissipation effect can be achieved, and the system state can be monitored in real time and stable operation can be ensured by adding assemblies such as a miniature temperature sensor, a pressure sensor and a flow sensor.

The invention discloses a power distribution cabinet with a temperature adjusting function, and relates to the field of power distribution cabinet heat dissipation, the power distribution cabinet with the temperature adjusting function comprises an equipment frame, a square frame fixedly penetrates through the top of the equipment frame, and the power distribution cabinet further comprises a moving device; wherein the moving device comprises a fixed frame, a ventilation plate, a fan, a rotating rod, a circular plate, a rotating plate, a sleeve, a supporting rod, a sliding block, a U-shaped plate, a fixed block, a connecting plate, a moving plate, a connecting block, a bearing block, a square block and a filtering plate, the fixed frame is slidably installed in the square frame, and the ventilation plate is fixedly installed in the fixed frame. According to the power distribution cabinet with the temperature adjusting function, the ventilation effect is achieved by opening the ventilation opening, the situation that the interior of equipment is overheated, and consequently the equipment cannot operate normally is prevented, the humidity in the cabinet can be reduced through good ventilation, meanwhile, the area of the ventilation opening is increased along with increase of the rotating speed of the internal fan, and self-adaptive adjustment can be conducted according to changes of the temperature in the cabinet.

The invention belongs to the technical field of compressed air energy storage, and discloses a salt cavern compressed air energy storage reservoir stability grade evaluation method and system, and the method comprises the steps: obtaining salt rock physical and mechanical parameters, stratum structure parameters and salt cavern internal structure parameters; selecting a stability evaluation index of the salt-cavern compressed air energy storage library; establishing a three-dimensional geomechanical model of the salt cavern energy storage library and performing simulation calculation; constructing an evaluation model; determining an index weight value of the stability of the salt-cavern compressed air energy storage library; calculating an evaluation grade; and adjusting and optimizing operation parameters of the salt cavern energy storage bank. According to the method, by providing a systematic quantitative analysis process and a unified evaluation index system, the accuracy and reliability of stability evaluation of the salt-cavern compressed air energy storage library are remarkably improved, and an important technical support is provided for development and application of a salt-cavern compressed air energy storage technology. Important technical support is provided for development and application of a salt cavern compressed air energy storage technology, and commercialization and large-scale development of the technology can be promoted.

The invention discloses a rate division multiple access communication network total rate optimization method and system, and belongs to the technical field of communication. The method comprises the following steps: constructing a downlink rate segmentation multiple access communication system model based on an intelligent reflecting surface; the communication system model comprises a base station, an intelligent reflecting surface and a user side; grouping users in the user side, and constructing a hierarchical rate segmentation multiple access model based on user grouping; the hierarchical rate segmentation multiple access model comprises a corresponding relation between the user group and information flow generated by the base station; and according to the hierarchical rate segmentation multiple access model and the intelligent reflecting surface, assisting downlink communication between the base station and the user side. According to the method and the device, the layered rate division multiple access model is constructed by grouping the users, and the system performance is improved by combining the intelligent reflecting surface passive beam forming and the rate division multiple access active beam forming, so that the problems of spectrum resource shortage and signal interference can be solved, and the spectrum efficiency is greatly improved.

The invention discloses an industrial scene-oriented intelligent Agent system and an implementation method thereof, and the system comprises a user interaction layer which is used for providing a diversified interface and carrying out the communication with a back-end service through an API gateway; the intelligent layer is used for realizing task management, task planning and resource scheduling functions by adopting a micro-service architecture arranged based on a container; the physical equipment layer is used for being integrated with an upper-layer system through an industrial Internet of Things protocol and processing time-sensitive applications by adopting an edge computing technology; wherein the user interaction layer is bidirectionally connected with the body intelligent layer, and the body intelligent layer is bidirectionally connected with the physical equipment layer. According to the invention, a series of operations such as order analysis, material planning, production planning, task distribution, material preparation, production execution, quality control and exception handling can be autonomously carried out, manual intervention is greatly reduced, and the production efficiency is improved.

The invention discloses a high-density liquid cooling server and a server cabinet system, and relates to the technical field of liquid cooling servers, the server cabinet system comprises an equipment cabinet, an assembly plate is mounted in the equipment cabinet, a circulating pump is mounted above the assembly plate, two sides of the circulating pump symmetrically communicate with liquid cooling pipelines, the front side of the circulating pump communicates with a liquid storage tank, and the front side of the liquid storage tank communicates with a liquid storage tank. A strain constant-temperature mechanism is arranged on the front side of the assembly plate and used for flexibly conducting heat dissipation treatment on the assembly plate, and the cold liquid regulation and control mechanism is used for enabling cooling liquid to generate a spiral flowing track in the flowing process. Targeted heat dissipation management of a high-temperature area is achieved, when it is detected that the temperature of a specific area is abnormally increased, the circulation paths of cooling liquid in the upper area and the lower area can be synchronously adjusted in time according to the change of temperature increase, and the circulation area of a channel is reduced by dynamically adjusting and distributing the flow of the cooling liquid and combining temperature flexibility.

The invention relates to the technical field of electric power communication, in particular to an electric power communication planning method, system, equipment and medium based on cross-layer slicing, and the method comprises the steps: classifying all services in an electric power communication network, and obtaining the service type of the electric power communication network; dividing the power communication network resource into a plurality of slices among a plurality of network layers according to the service communication key index of each service type and the available state of the current network resource, and forming a cross-layer slice model comprising the plurality of network layers; determining cross-layer slicing resources of the cross-layer slicing model by using a reinforcement learning algorithm according to the service communication key indexes of the service types; and searching an optimal power communication path by using a path optimization algorithm according to the current power communication network state and the cross-layer slice resources. Through the cross-layer slicing model and the reinforcement learning algorithm, dynamic scheduling and efficient management of power communication network resources are realized, and the utilization rate of the network resources is improved.

The invention relates to the technical field of defoaming agents, and discloses a modified organic silicon defoaming agent and a preparation method thereof.The modified organic silicon defoaming agent takes hydrogen-containing silicone oil as a base material, polyether modified carboxymethyl cellulose and modified white carbon black are used for modifying the base material to obtain the modified organic silicon defoaming agent, and after the white carbon black is modified, the modified organic silicon defoaming agent is prepared. According to the present invention, the polyether modified organic silicon is uniformly and stably distributed in the system so as to improve the defoaming efficiency, the carboxymethyl cellulose has characteristics of excellent thickening property, excellent film forming property and excellent stability, can improve the consistency of the organic silicon defoaming agent, can help to form the stable film layer, can easily adhere and disperse the active component of the defoaming agent, and can improve the defoaming effect; the surface property of the modified organic silicon is improved, the modified organic silicon has better hydrophilicity and wettability, the structural stability of the silicone oil is improved, all the components have a synergistic effect, and the prepared modified organic silicon has excellent defoaming and foam inhibiting effects, meanwhile, the dispersity is good, the heat resistance and stability are improved, and the application range is wide.

The invention belongs to the technical field of semiconductors, and provides a cleavage method, which adopts non-mechanical means such as etching, corrosion and the like to avoid the action of mechanical stress on a slice wafer, thereby greatly reducing the possibility of cracks on the end face of the slice wafer. Specifically, the cleavage method is implemented according to the following steps: growing silicon oxide on the back surface of a thin wafer to form a mask layer; coating photoresist on the surface of one side, deviating from the sheet wafer, of the mask layer to form a second glue layer; photoetching the second adhesive layer to construct a second cleavage region which is overlapped with the first cleavage region on the front surface of the thin wafer; removing silicon oxide on the mask layer relative to the position of the second cleavage region; coating at least two layers of photoresist on the front surface of the thin wafer to form a first adhesive layer; photoetching the first adhesive layer, and displaying a first cleavage area through a developing step; performing dry etching on the front surface of the sheet wafer; and performing wet etching on the back surface of the sheet wafer.

The invention provides a power grid dispatching optimization method based on a deep learning network, and the method comprises the following steps: collecting power output data and spatio-temporal data of a wind driven generator according to time, and carrying out the preprocessing of the data; designing a multi-modal network structure suitable for wind power generation power prediction; designing a loss function to train the multi-modal network to obtain a trained network model; and carrying out real-time prediction on the wind power generation power by using the trained model. By adopting the deep learning method, the power grid dispatching optimization method based on the deep learning network optimizes the focusing of key information by utilizing an attention mechanism in deep learning, improves the accuracy of wind power generation power prediction, predicts the wind power generation power, can realize better power grid energy management and dispatching optimization, and improves the power grid dispatching optimization efficiency. The utilization efficiency of renewable energy sources is improved, dependence on traditional energy sources is reduced, and the stability and efficiency of a power grid are ensured.

The invention discloses an integrated dual-channel control system for a numerical control system, which belongs to the technical field of numerical control dual-channel control systems, and comprises a resource monitoring module, a resource distribution module, a parameter acquisition module, a channel synchronous feedback module and a control module, and the resource monitoring module, the resource distribution module and the control module are in communication connection in sequence. The parameter acquisition module, the channel synchronization feedback module and the control module are in communication connection in sequence, the resource monitoring module is used for monitoring resources including processor utilization rate and memory occupation, and the resource distribution module is used for dynamically distributing resources and adjusting a dual-channel resource distribution strategy according to a real-time running state of a system; according to the integrated dual-channel control system for the numerical control system, resources are allocated, so that dual-channel response is quicker. And meanwhile, when the problem of channel asynchronization can be rapidly solved, the system is more stable, and follow-up machining is facilitated.