422 results about "Information layer" patented technology

The invention discloses a conference memory enhancement method and device for a conference tablet and a medium, and relates to the technical field of intelligent conference equipment, and the method comprises the steps: collecting multi-modal data in real time based on a preset data collection technology, and coding the multi-modal data into a space-time event stream according to the time sequence of the multi-modal data; identifying handwritten characters on the conference tablet, and extracting a key tag in a speech in combination with a pre-trained natural language processing model to construct a conference knowledge graph corresponding to the current conference; comparing the conference knowledge graph with a historical conference knowledge graph, determining conflict content, and superposing a virtual information layer on a physical interface of the conference tablet; and querying query association information corresponding to the semantic query request based on the conference knowledge graph and the time-space time stream to determine semantic contradictions, and displaying a historical conference evidence chain of the semantic contradictions based on the virtual information layer.

The invention discloses a metadata real-time self-adaptive standardization system for multi-field data sharing. The metadata real-time self-adaptive standardization system comprises a metadata information layering module, an intelligent information acquisition module, a real-time self-adaptive standardization module and a visual management module, the metadata information layering module identifies sources of various metadata, and sequentially performs cleaning, classification and layering preprocessing on the metadata; the intelligent information acquisition module uniformly acquires metadata information and converts the acquired data into standardized intermediate representation; the real-time adaptive standardization module is used for realizing rule dynamic adaptation and real-time optimization in a metadata standardization process, is internally provided with a dynamic rule library, is used for storing dynamically generated metadata mapping rules and supports automatic loading, updating and semantic extension of the rules; and the visual management module realizes management, analysis and dynamic adjustment of metadata through a visual interface. The method is high in accuracy of processing unknown data, can adapt to different data scenes in real time, and is high in semantic interoperation capability.

The invention discloses a memory enhanced script generation agent system based on RAG, and belongs to the technical field of artificial intelligence. The pre-learning and intensive training module takes a terminology library, an ambiguity explanation library and a script sample knowledge library as pre-learning blocks, adopts an intensive learning algorithm to train the generation module, and meanwhile, quantifies specific indexes to form a script scoring rule; the self-learning script generation module is used for realizing script generation; the long-term memory and knowledge tree management module is used for extracting, coding and storing key information layer by layer; the script evaluation and feedback closed-loop mechanism is used for grading and scoring the generated script through a preset quantitative evaluation index and feeding back the score to the self-learning script generation module; according to the RAG-based memory enhanced script generation agent system provided by the invention, flexible generation of a final high-quality script can be realized through cooperation of multiple agents, the sense of makeup is reduced, and the usability and usability are improved.

The invention relates to the technical field of multi-modal visual tracking, and discloses a modal sharing information layered unwrapping fusion network for RGB-T target tracking, which comprises a double-flow feature extraction module which adopts a parameter sharing ResNet-50 network and is used for respectively extracting features of an RGB image and a thermal infrared image; the cross-modal attention module is connected with the double-flow feature extraction module and is used for realizing feature interaction enhancement of RGB (Red, Green, Blue) and a thermal mode through a bidirectional attention mechanism; and the layered unwrapping mining module is connected with the cross-modal attention module and is used for mining inter-modal deep complementary information through multi-level residual calculation. By introducing a lightweight attention mechanism and a modal alignment strategy, complementary information between modals is mined layer by layer and dynamic fusion is realized, so that the utilization efficiency of modal residual information is remarkably improved, and the stability and robustness of the system in a complex environment are enhanced.

The invention relates to the technical field of machine tool cutter wear monitoring, and particularly provides an integrated multi-dimensional data monitoring system and a monitoring method.The integrated multi-dimensional data monitoring system comprises a multi-dimensional data acquisition module which can acquire multi-dimensional data of the working state of a cutter in real time; the feature information layer and the intelligent analysis layer comprise a multi-source data fusion module, an abnormal state recognition module, a residual life prediction module and a self-adaptive learning module; the decision execution layer comprises an early warning feedback module, a parameter optimization suggestion module and an intervention control module; the knowledge base system comprises a case base module, a rule base module and a model base module, different physical quantities are collected through the multi-dimensional data collection module, full-dimensional sensing of the state of the cutter is achieved in combination with machining features, material information and environment data, multi-sensor collection, physical model construction, feature information integration and intelligent algorithm analysis are combined, and the machining accuracy of the cutter is improved. And comprehensive, real-time and accurate monitoring of various abnormal states of the machine tool cutter is realized.

The techniques described herein may include solutions for enabling a user equipment (UE) to switch between sub-band full duplex (SBFD) communications and non-SBFD communications within the same time domain of a resource allocation. Discussed herein include solutions for sounding reference signals (SRS), physical uplink (UL) shared channels (PUSCH), and type 1 and type 2 configured grants (CG). Radio resource control (RRC) information, downlink (DL) control information (DCI), layer 1 (L1) indicators, and other types of control information may be used.

The invention discloses a semantic judicial contract compliance automatic generation and examination system based on a DIKWP artificial consciousness model. The system is constructed according to five layers of data, information, knowledge, wisdom and intention, wherein the data layer integrates multi-source information; the information layer enables terms to be semantized and disambiguated; the knowledge layer performs rule matching and compliance judgment by using a legal knowledge graph; the wisdom layer automatically corrects the risk terms based on a fair principle and performs scene simulation; and the intention layer is embedded into targets of all parties to ensure that the contract is consistent with the compliance intention. The system process covers the whole process from intention analysis, knowledge reasoning to intelligent generation and intention negotiation, and finally a compliance contract and an audit report are output. The system is provided with a multi-language semantic adaptation and intelligent negotiation interface, and convenient access can be realized through an API (Application Program Interface). The system realizes integration of contract generation and review, intention driving and decision interpretability, can effectively reduce compliance cost and dispute risks, and is suitable for multiple scenes such as finance, e-commerce, government purchase and the like.

The invention provides a GNSS deception jamming joint detection system and method, and relates to the technical field of GNSS. GNSS navigation signals are received and processed through a baseband signal processing module, and advanced, instant and lagged related function values of an I path and a Q path are generated; a signal layer index unit calculates a moving variance of a code phase difference based on the correlation function value to generate a signal layer index; the information layer index unit calculates a code carrier difference value based on the pseudo-range, the carrier frequency and the integral carrier phase to generate an information layer index; and the spoofing detection module performs data fusion on the signal layer index and the information layer index to generate a joint detection index, and judges a spoofing state through a threshold value. The distortion of an IQ code correlation value integral signal is captured through a signal layer, and on the other hand, the inconsistency of a deception signal carrier, a pseudo-range relative measurement value and a real signal is captured through an information layer, so that the technical effect of rapid complementary detection of the signal layer and the information layer on deception interference is realized.

The invention discloses a hierarchical acquisition and analysis method and system for attribute information of a cultural relic building, and belongs to the field of electronic data analysis. According to the method, the acquired historical stored data of the cultural relic building is imported into a danger assessment strategy for cultural relic building danger assessment, maintenance judgment is performed, quantitative assessment is performed based on the damage condition of the cultural relic building, and whether the building needs to be maintained is judged according to a quantitative assessment result, so that the safety of the cultural relic building is improved; meanwhile, structure maintenance analysis is carried out according to structure composition importance and structure composition dangerousness before maintenance, and then accurate judgment of maintenance steps is carried out.

The invention discloses an intelligent auxiliary acquisition method and system for manufacturing equipment design requirements, and belongs to the technical field of industrial design. The method comprises the following steps: establishing a hierarchical relationship of manufacturing equipment design requirements, and further constructing a manufacturing equipment historical design requirement hierarchical relationship database; constructing a design demand intelligent auxiliary acquisition model, and training the design demand intelligent auxiliary acquisition model based on the manufacturing equipment historical design demand hierarchical relationship database; original design demand information of the new manufacturing equipment is collected, the design demand intelligent auxiliary acquisition model is utilized to acquire design demand information, and the design demand information comprises a design demand information hierarchical relationship and labeled abnormal demands; and modifying, confirming and outputting the calculated design demand information. According to the intelligent auxiliary acquisition method and system for the manufacturing equipment design demand, the accuracy and integrity of equipment design demand acquisition are improved, the acquisition efficiency is greatly improved, and the acquisition cost is reduced.

Disclosed are example embodiments of systems, methods, and devices for enhancing reciprocity-based MU-MIMO performance in a wireless communication system. To incorporate devices with many antenna elements, extend the communication range, and reduce response and adaptation times single and multiple step dimensionality reduction schemes (which may also incorporate interference rejection) are constructed and applied at the UE antenna array. The UE Effective Antennas can be time-variable as well as their number be different from the information layer's number. The schemes parts can have different frequency-time supports and update rates. Methods to deliver from UEs the reduced dimension physical channel matrices to the BS to facilitate the MU-MIMO DL BS precoder construction are disclosed (including different D2A and A2D number cases). BS may optionally facilitate EAs selection. For equal downlink and uplink EAs parts, DL precoder construction may be further assisted via channel reconstruction from decoded uplink data (escaping channel ageing).

The invention relates to the technical field of ink jet control, and discloses an intelligent ink jet control system and method, a robot and a storage medium. The method comprises the following steps: firstly, acquiring surface contour data and color information of an object to be jetted through a laser ranging device, and constructing an object surface feature vector; a target ink jet area is determined through area spray adaptability evaluation; then, semantic information of ink jet content is obtained, semantic element weights are calculated, and ink jet parameter constraints including an ink droplet size threshold value, an information level presentation rule and the like are generated in combination with a target area range; generating an intelligent ink-jet scheme according to the constraint, and controlling an ink-jet device to form a target pattern; and finally, a moving path of the moving mechanical arm is generated based on a cubic spline interpolation algorithm, and the target pattern acts on the target area. The method can adapt to complex surface forms and various materials, the ink jet process is accurately controlled, patterns are accurately presented and stably attached, and the ink jet effect and the information transmission effectiveness are improved.

Payment cards with activated information displays are described. In one embodiment, a payment card may include: a first layer; a second layer comprising an elastic material; an actuator; and an information layer between the first layer and the second layer, comprising: a plurality of information voids; and a microfluidic channel that communicates the plurality of information voids with the actuator. A fluid may be provided in the microfluidic channel such that when the actuator is depressed, fluid flows into the information voids making the information voids visible through the second layer, and when the actuator is released, the fluid flows out of the information voids making the information voids substantially invisible through the second layer.

The invention provides a communication method, the communication method is applied to a terminal device, and the communication method comprises the following steps: receiving measurement configuration information from a network device, the measurement configuration information comprising an event triggering condition; the physical PHY layer measures a reference signal to be measured, determines that an event triggering condition is satisfied and sends first indication information to a medium access control (MAC) layer; and the MAC layer sends a measurement result to the network equipment through MAC layer signaling according to the first indication information. In the application, the PHY layer can measure the reference signal to be measured to determine the measurement result; the MAC layer can send the measurement result through MAC layer signaling (such as MAC CE), so that the network equipment can perform mobility management such as scheduling strategy updating or cell switching, beam switching and the like based on the measurement result. According to the method, the uplink resource occupation of the terminal equipment can be reduced while the measurement result is reported quickly and timely.

The invention relates to the field of packaging materials, in particular to a positioning environment-friendly laser transfer film which is composed of a base film layer, a laser information layer and an aluminum plating layer. The laser information layer is prepared from the following raw materials in parts by weight: 60 to 70 parts of waterborne polyurethane acrylic resin emulsion, 10 to 15 parts of photo-initiation waterborne alkyd resin, 8 to 12 parts of dipentaerythritol hexaacrylate, 0.1 to 1 part of polyether modified polysiloxane surfactant, 1 to 5 parts of aminated nano titanium dioxide and 1 to 3 parts of functional additive. The water-based laser coating is used for replacing a solvent type coating to prepare the laser information layer, the problems that the solvent type coating is poor in environmental protection performance and poor in safety are effectively solved, and green, efficient and safe production of the vacuum aluminum plating packaging material is achieved.

The invention provides a data processing method and device of a storage device, a medium and computer equipment. The data processing method comprises the following steps: analyzing a reading request initiated by a user, and obtaining a logical addresses to be read; determining c L2P mapping tables associated with the a logical addresses according to the range of the a logical addresses, wherein c is a positive integer greater than or equal to 1; backing up an original mapping relation of the c L2P mapping tables; b latest mapping relations of a temporary information layer are updated to the c L2P mapping tables, and the original mapping relations of the c L2P mapping tables are covered; querying the updated c L2P mapping tables according to the reading request, obtaining physical addresses corresponding to the a logical addresses, and reading data; and after the reading is completed, restoring the backed-up original mapping relation to the c L2P mapping tables. Through the mapping management process of the scheme, redundancy check can be avoided, accurate locking of an updating range is realized, the check times are greatly reduced, physical limitation of bandwidth is released, and delay is greatly reduced.

The invention discloses an advertisement information flow management method and platform applied to multivariate visual design, and belongs to the technical field of advertisement design, and the method specifically comprises the steps: dividing a screen interface into dynamic grid regions, and carrying out the comprehensive calculation based on user interaction behaviors and content semantic features, mapping the dynamic grid region into a semantic gravitational field representing user attention distribution; generating an initial advertisement container in a low-gravitational area at the edge of the screen, driving the container to migrate to a high-gravitational area according to the intensity gradient distribution of the semantic gravitational field, performing path optimization in the migration process, and dynamically adjusting the form of the container according to the visual density of a matched target area; dynamically adjusting the parameters of the advertisement container according to the semantic features of the native content of the target area and the real-time interaction behavior of the user; the cognitive load of the user is evaluated in real time according to the interaction behavior of the user on the surface of the advertisement container, information level folding is triggered when cognitive overload is detected, and secondary information or all information of the advertisement is dynamically hidden.

The invention belongs to the technical field of electric power information physical system security, and discloses an urban power grid information physical system security situation early warning method based on cross-space risk propagation. A power grid physical layer and information layer coupling model and a cellular space false data injection attack model are constructed, and a fault cross-space propagation mechanism is simulated through an event-driven cellular automaton theory; an integrated kernel extreme learning machine model is adopted to predict the operation state of the power grid, multi-dimensional data fusion is realized through a radial basis kernel function, and an integrated structure is adopted to fuse a plurality of model prediction results so as to improve the model prediction precision; and establishing an early warning system including voltage out-of-limit, line overload and load loss indexes, and dynamically distributing weights and dividing early warning grades in combination with an entropy weight method. According to the method, the problem of low precision of urban power grid security situation early warning under multivariate disturbance is solved, and the accuracy and robustness of security situation early warning can be effectively improved.

The invention relates to the technical field of robot navigation, and particularly provides a multi-layer map construction method for substation inspection navigation, which comprises the following steps: generating a point cloud map according to three-dimensional point cloud data of a substation, and marking passable areas, obstacle positions and road topological structures to obtain a geometric information layer; identifying the type of the equipment according to the image data of the equipment of the transformer substation, and generating a priority label of the equipment based on the type of the equipment to obtain an equipment information layer; according to the topographic relief degree matrix of the transformer substation, dividing the transformer substation environment into a flat area, a non-flat area and an obstacle area to obtain a topographic information layer; and carrying out space alignment on the geometric information layer, the equipment information layer and the topographic information layer to obtain a multi-layer map with a unified coordinate system. The problems that in the prior art, a transformer substation inspection map is single in information dimension, poor in reliability and not beneficial to inspection are solved.

The invention discloses infrared night vision AR (Augmented Reality) intelligent glasses based on multispectral fusion, and relates to the technical field of infrared intelligent application. High-precision scene perception in a low-light / light-free environment is realized by fusing dual-channel data of low-light imaging and infrared thermal imaging and combining cross-modal feature matching and dynamic pose compensation; an environment detail structure is restored by a low-light image enhancement technology, thermal feature targets such as organisms are accurately recognized through thermal imaging target segmentation, and a three-dimensional environment model with space geometric information and target attributes is constructed through heterogeneous feature fusion; and dynamically adjusting the display transparency of the key target in the AR view field through a virtual information layer adaptive mixing mechanism driven by a hot target attribute, and finally outputting a virtual-real fused enhanced view, thereby breaking through the illumination limitation of the traditional AR glasses, and improving the visual effect of the AR glasses. And immersive augmented reality experience with panoramic detail perception and hot target accurate positioning is provided for the user in a dark environment.

The invention provides a transformer substation maintenance implementation full-process intelligent management and control system and method based on a cloud platform, and belongs to the technical field of intelligent power grid operation and maintenance. The system comprises an acquisition layer, a data layer, a management layer, an information layer and a presentation layer. The acquisition layer comprises a scheme input module, an image acquisition module, a positioning module and an electromagnetic fingerprint acquisition module, and is used for constructing a digital twin maintenance template and acquiring multi-source data; the data layer comprises an intelligent image auditing module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, and is used for realizing fusion analysis and error compensation of multi-source data; the management layer comprises a dynamic authority control module and a positioning state decision module, and is used for distributing equipment operation authority based on biological characteristics and electromagnetic safety parameters; the information layer comprises a dynamic path planning module and an evaluation alarm module, and is used for generating an optimal operation path and triggering multi-stage safety alarm; and the presentation layer realizes visual interaction and alarm prompt through a terminal interface.

The embodiment of the invention discloses a security authentication method and device, a vehicle, equipment and a storage medium, the method is applied to a security authentication module of the vehicle, the vehicle further comprises a controller and a debugging port circuit, and the method comprises the steps that authentication data sent by a debugging terminal is acquired, and the authentication data comprises first identification information of the debugging terminal; performing verification processing on the authentication data, the verification processing comprising comparing the first identification information with pre-stored credit granting data to determine whether the authentication data is successfully verified, the credit granting data comprising a plurality of pieces of credit granting identification information; and under the condition that the authentication data is successfully verified, sending verification data to the controller, so that the controller configures the IO configuration information of the debugging port circuit as the target IO configuration information. The unverified debugging terminal can be limited from accessing the controller data on the IO configuration information level, verification and positioning are carried out based on the first identification information of the debugging terminal, and the safety and traceability of the data are improved.

The invention provides a railway vehicle production line digital twin system and method, and the system comprises a physical space layer which is used for obtaining the state information of a railway vehicle physical production line in real time; the information layer is used for performing information conversion and analysis on the state information of the railway vehicle physical production line to obtain processed railway vehicle production line information; and the virtual space layer is used for updating the railway vehicle virtual production line model based on the processed railway vehicle production line information, so that the railway vehicle virtual production line model corresponds to the railway vehicle physical production line. Through the digital twinning technology, digital transformation of the railway vehicle manufacturing industry is promoted, the production efficiency is improved, quality control is optimized, the maintenance cost is reduced, and the production flexibility is enhanced.

The invention discloses an intelligent decision support method based on dynamic weight distribution, and the method comprises the steps: constructing a supply chain data source integration module, and collecting and integrating supply chain data from different sources; a multi-source data preprocessing module is constructed, an information hierarchical structure system is constructed from five dimensions of delivery cycle, supply stability, transportation cost, quality qualification rate and supply risk, standardization processing is performed on supply chain data, and it is ensured that all indexes can be compared on the same scale; constructing a dynamic weight distribution module, calculating the importance of each decision object on different indexes by constructing a query matrix and a key matrix based on an attention mechanism, and performing dynamic weight distribution on multi-dimensional data in the supply chain; an intelligent decision analysis and monitoring module is constructed, the most critical indexes are identified, and managers are helped to make intelligent decisions in the aspects of supplier selection, storage and scheduling in combination with dynamic weight calculation results. According to the invention, efficient and accurate decision support is provided for supply chain resource optimization and management.

The invention discloses a transmission type communication system and method based on low-frequency carrier waves and high-frequency modulation. The transmission type communication system and method are suitable for complex medium environments such as deep sea, strata and biological tissues. Aiming at the contradiction that the traditional low-frequency communication bandwidth is insufficient and the high-frequency communication penetrating power is poor, according to the scheme, a low-frequency carrier wave (30Hz-100kHz) and a high-frequency modulation signal (such as OFDM (Orthogonal Frequency Division Multiplexing) and 256QAM (Quadrature Amplitude Modulation)) are fused through a nonlinear signal superposition technology to generate a composite carrier wave signal, long-distance penetration is realized by utilizing the low attenuation characteristic of the low-frequency carrier wave, and meanwhile, the data rate is improved through high-frequency modulation. Application scenes comprise deep sea detection (300-meter high-definition video return), a brain-computer interface (implantable antenna transmission neural signal) and an intelligent power grid (underground pipe network monitoring). Through the physical layer-information layer collaborative design, the physical boundary limitation of traditional communication is broken through, and high penetrability, high bandwidth and strong anti-interference capability are achieved.

The invention specifically relates to a federated learning-based distributed dyeing machine anomaly detection method, and relates to the technical field of industrial equipment anomaly detection and federated learning, and the method comprises the steps: compressing an obtained weight difference value, encrypting the weight difference value, and transmitting the weight difference value to a federated server; according to the method, a CNN-LSTM mixed structure is adopted for model training, space and time sequence characteristics are considered, and dyeing machine multi-sensor data association and abnormal hysteresis characteristics are adapted; incremental training and small-batch training strategies are adopted to solve the problem of computing power memory limitation of edge equipment, so that the model can be locally and stably trained in the dyeing machine, and network dependence is avoided; a compression transmission link, a dynamic sparse adaptation process stage and hierarchical quantification distinguishing of information levels are performed, so that the data volume is compressed, the transmission efficiency is guaranteed, key information is reserved, the federal learning process is stably operated in an industrial environment, and a dyeing machine production scene is comprehensively adapted from data processing to model training deployment; and a solid support is provided for abnormal detection landing.

The invention relates to the field of data management, and provides an equipment label information hierarchical storage method and device based on a prefix tree structure, the method comprises the following steps: caching equipment label information into a memory in the prefix tree structure, the prefix tree structure being a data structure combining a prefix tree and a linked list, each cached node holds a pointer pointing to a child node storage space on a disk; when the amount of data cached in the memory reaches a preset threshold value, newly adding or modifying the equipment label information cached in the prefix tree into a physical log file; after the newly-added or modified operation is completely written into the physical log file, the equipment label information in the memory is stored in the prefix tree file, and the prefix tree file is stored on a disk by adopting a structure of fusing a prefix tree with a B + tree. According to the invention, the problem of overlarge memory consumption of a full-memory storage scheme in the prior art is solved, and the memory occupation is obviously reduced.

The invention relates to the technical field of renewable energy consumption, in particular to a vehicle-hydrogen-steel collaborative green hydrogen fluctuation stabilizing method and system, a physical layer is provided with a wind-solar power generation device, an electrolytic hydrogen production device, a hydrogen storage buffer tank, a steel heat supply device, an electric vehicle and a V2G charging pile which are connected with one another through a hydrogen conveying pipeline and a power cable; the information layer takes the central regulation and control platform as a core, collects wind-solar power, hydrogen yield, steel hydrogen consumption and electric vehicle SOC by using sensors, and transmits the collected power, hydrogen yield, steel hydrogen consumption and electric vehicle SOC to the central regulation and control platform; the central regulation and control platform executes a hierarchical dynamic fluctuation regulation and control mechanism; when the fluctuation range of the hydrogen yield does not exceed a set value, the hydrogen is stabilized by controlling the hydrogen storage buffer tank to charge and discharge hydrogen; and when the fluctuation amplitude exceeds a set value, a V2G system is started, and stabilizing is carried out by controlling charging and discharging of the electric vehicle. On the premise that the special energy storage cost is not greatly increased, stable and low-cost supply of green hydrogen is achieved, and energy conservation and emission reduction of steel and other high-energy-consumption industries are achieved.

The invention discloses a pipeline welding temperature measurement environment interference elimination method based on a multi-modal adversarial network, relates to the technical field of infrared monitoring in the pipeline welding process, and solves the problem that the welding quality of a pipeline cannot be ensured due to the fact that the measurement precision is reduced due to environment interference in the welding process of a large pipeline. The method comprises the steps of adopting a multi-mode adversarial compensation network model algorithm, and performing intelligent compensation on environmental interference by fusing data driving and a physical mechanism; according to the dynamic optical-data double closed-loop compensation deep analysis algorithm, full-link anti-interference is carried out from a physical layer to an information layer through double closed-loop cooperation of optical hardware compensation and data algorithm compensation; the high-dimensional tensor model is constructed, the space-time relevance and the multispectral characteristic of the welding temperature field are utilized, high-precision reconstruction is conducted on the shielding area, the accuracy and stability of a pipeline welding infrared temperature measurement system are improved, and therefore the welding quality is improved.

The invention discloses a virtual power plant scheduling method, system, medium and equipment based on a cloud side-end architecture, and relates to the technical field of virtual power plant scheduling, the method comprises the following steps: establishing a virtual power plant information-physical system model, a physical layer being equipment of a virtual power plant, each equipment corresponding to an intelligent agent, a communication network between the intelligent agents forming an information layer, constructing a multi-agent system; the virtual power plant is divided into a plurality of areas according to a multi-agent topological graph, each area is controlled by an edge server, all the edge servers are connected to a cloud server, and a cloud edge-end collaborative architecture of the multi-agent system is constructed; according to the equipment model of the virtual power plant, setting to meet the supply and demand balance and the power limitation of each equipment, and minimizing the total expected operation cost as an optimization target; and according to the optimization target, performing virtual power plant scheduling by using a fixed time consistent optimization algorithm based on the cloud edge-end collaborative architecture of the multi-agent system. The scheme is high in reliability, and the cost can be effectively reduced.