521results about How to "Easy to share" patented technology

The invention discloses an equipment fault intelligent question-answering method and system based on knowledge graph enhancement. The method comprises the following steps: constructing a knowledge graph of a professional field; developing a natural language processing module; designing an enhanced generation model; designing an interactive question and answer interface; the system comprises a user interaction layer, a language understanding processing layer, a knowledge graph query reasoning layer, a question and answer generation layer and a data storage management layer. Through the natural language processing technology, the system can quickly understand the query intention of a user, and the manual information input and interpretation time in traditional fault diagnosis is shortened, so that the overall fault response speed is increased; the large language model has deep learning and generalization capabilities, various complex and unknown fault conditions can be processed, accurate diagnosis and operation suggestions are provided, and the potential capability of the system for processing new fault types is enhanced.

The invention relates to the field of data visualization, in particular to a visualization method and system based on a vehicle service supply chain. The method comprises the following steps: acquiring whole-process information of a vehicle service supply chain; carrying out supply chain main body identification on the whole flow information of the vehicle service supply chain, carrying out spatial topology distribution analysis, and constructing a supply chain main body topology distribution map; obtaining supply chain main body interaction logic data based on the plurality of supply chain main bodies; performing topology interaction logic connection on the supply chain main body topology distribution graph by utilizing supply chain main body interaction logic data, and constructing a supply chain topology interaction network; performing intra-period path transportation frequency calculation on the whole-process information of the vehicle service supply chain to generate logistics demand trend characteristics; and performing operation behavior analysis of each link on the whole-process information of the vehicle service supply chain to obtain the capacity characteristics of each link. According to the invention, through visualizing the vehicle service supply chain, the resource scheduling efficiency and flexibility of the supply chain are improved.

The invention discloses an enterprise-level knowledge management system based on a large language model. The enterprise-level knowledge management system comprises a knowledge storage module, a knowledge analysis module and a knowledge application module, the knowledge storage module is responsible for managing and storing knowledge from different sources, supporting uploading, updating, deleting and sharing of electronic documents and multimedia documents, and is provided with authority control; the knowledge analysis module is used for carrying out deep understanding and structured processing on text and multimedia contents through a special analyzer by utilizing an advanced large language model technology; the knowledge application module provides intelligent retrieval and intelligent question and answer functions and supports advanced applications such as behavior portrait analysis and standard process supervision. According to the method and the system, the acquisition, understanding and application efficiency of enterprise knowledge is remarkably improved by fusing a large language model technology and a traditional knowledge management method, an intelligent, automatic and safe knowledge management solution is provided for an enterprise, and value mining and innovative application of enterprise knowledge assets are effectively promoted.

The invention discloses an intelligent data information rapid checking and question-answering system, which relates to the technical field of intelligent data information and comprises a document import module, a vectorization analysis module, an NLP processing module, a question-answering matching module and a result output module. The document import module is used for receiving and importing documents including but not limited to PDF, DOC, TXT and PPT, analyzing the documents in different formats by adopting corresponding libraries and tools, identifying and classifying the files by identifying title formats and question number formats when processing the files in test questions and test paper formats, and performing preliminary analysis on the contents of the documents by utilizing a machine learning algorithm; according to the invention, the system not only can realize the rapid checking and question-answering functions of documents, but also can be applied to the field of educational training, realizes the online editing, management and test paper formation of test questions, reduces the manpower consumption in basic training business, and integrally improves the working quality and efficiency; meanwhile, the system can help enterprises to carry out internal training and examination, and improves the practicability and application range of the system.

The invention provides an inventory management method for e-commerce, which integrates links of multi-source data analysis and prediction, intelligent replenishment, dynamic inventory tracking and return management, constructs a demand prediction model by using historical sales records, user behaviors and market dynamic information, sets a safe inventory level based on a prediction result, and provides an inventory management method for e-commerce. An automatic purchase request and a quick response replenishment mechanism are implemented, real-time inventory synchronization is achieved through an API, inventory changes are monitored through the Internet of Things technology, a commodity processing decision is guided for a returned commodity development prediction model, unsalable commodities are regularly examined, products close to the expiration date are reasonably handled, and a KPI is set and comprises the inventory turnover rate and the order accuracy rate. And closed-loop control of inventory management is realized.

The invention relates to the technical field of energy management and environmental protection, in particular to an energy efficiency optimization system based on electric power and carbon emission market coupling, which comprises an electric power demand prediction module, a carbon emission calculation module, a market coupling module, a strategy generation module, an execution feedback module and an interaction interface module. Wherein the power demand prediction module is used for predicting future power demand; the carbon emission calculation module is used for calculating the corresponding carbon emission; the market coupling module is used for generating a supply and demand report of an electric power and carbon emission market; the strategy generation module is used for formulating a specific power dispatching and carbon emission reduction strategy; the execution feedback module is used for adjusting future strategy generation according to market feedback; and the interactive interface module provides an operation interface for a user. According to the invention, by integrating electric power and carbon emission markets, optimizing resource allocation and realizing dynamic strategy adjustment, the energy use efficiency and the environmental protection effect are effectively improved, and the adaptability of the system and the user interactivity are enhanced at the same time.

The invention discloses an automatic DCMM evaluation system based on a multi-source heterogeneous data integration mechanism, and relates to the technical field of data quality management.The automatic DCMM evaluation system comprises a data source management module, a data integration module, a data quality evaluation module, a data quality diagnosis module and a data quality monitoring module which are connected through electric signals; and the data source management module is used for accessing various types of data sources and collecting original multi-source heterogeneous data from a plurality of data sources. By comprehensively monitoring and evaluating the data quality, the accuracy and integrity of the data are improved, the abnormal early warning coefficient is calculated, the potential data quality risk is recognized in time, and when it is detected that the data quality is abnormal, an early warning mechanism is automatically triggered, and an alarm is sent to inform related personnel, so that the data quality is ensured to be abnormal. Therefore, the data quality problem can be found and solved at the first time, so that the reliability and credibility of the data are improved.

The invention discloses an agent-based water transportation engineering project management aid decision-making system and method. The system comprises a data acquisition unit; the data storage unit is used for storing the collected data; the data preprocessing unit is used for preprocessing the data acquired by the data acquisition unit; the knowledge graph construction unit is used for constructing a knowledge base; the updating and maintaining unit is used for regularly updating and maintaining the knowledge base so as to reflect the latest industry specifications, engineering cases and scientific achievements; the intelligent model unit is used for establishing a model; and the model training unit is used for training the model. According to the invention, improvement is carried out from four aspects of automatic data processing, efficient and accurate integration of a comprehensive knowledge graph, establishment of an intelligent model, training for application and decision support and optimization, an efficient, accurate and high-adaptability auxiliary decision-making system and method are provided, and the efficiency and quality of project management are greatly improved.

The invention discloses an intelligent security monitoring and early warning method and system for an industrial control network, relates to the technical field of network security monitoring, and can collect multi-dimensional data such as network traffic, user behaviors and equipment states in real time through a data acquisition module and a system to ensure the timeliness and comprehensiveness of monitoring. Therefore, potential security threats can be quickly identified, and the overall security protection capability is improved. And the data preprocessing module cleans and standardizes the collected data, so that the data quality and consistency are improved, a reliable basis is provided for subsequent risk assessment, and misjudgment caused by data inconsistency is reduced. And the risk assessment module calculates a comprehensive risk index through a multi-dimensional assessment formula, different types of security threats can be identified more accurately, and a scientific basis is provided for a subsequent early warning mechanism. The multi-level early warning mechanism module divides the risk into a low level, a middle level and a high level according to the comprehensive risk index, and a targeted response strategy can be realized.

The invention relates to the technical field of breach image processing, in particular to a breach rapid situation awareness method and system based on multi-source data. The method comprises the following steps: acquiring dam monitoring station data; performing hydrological sensor network setting on the dam monitoring station data to obtain dam hydrological sensor network data; performing ultrasonic water level change trend analysis on the dam hydrological sensor network data to generate an ultrasonic water level change trend chart; performing breach node sensing on the dam hydrological sensor network data according to the ultrasonic water level change trend chart to generate breach node data and breach prediction node data; and according to the breach node data, macroscopic disaster risk analysis is carried out on the breach area, and a breach area macroscopic disaster risk schematic diagram is generated. According to the invention, through real-time data integration, comprehensive risk assessment, unmanned aerial vehicle monitoring, dynamic prediction model and multi-party cooperative response, the accuracy and response speed of breach rapid situation awareness are improved.

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

The invention provides a pressure pipeline inspection and detection digital system based on the Internet of Things. Comprises: an axonometric mapping module for drawing a three-dimensional model by using an axonometric mapping instrument to obtain an initial axonometric map; comprising an automatic drawing mode and a manual drawing mode. And the positioning module is used for collecting real-time geographic position information of the pipeline and marking and recording the real-time geographic position information in the initial axonometric map to obtain a complete axonometric map. And the data processing module is used for acquiring, storing and analyzing actual detection data of the pipeline. And the information association module is used for associating the macroscopic inspection information with the safety accessory information of the pipeline on the complete axonometric map. The detection report module is used for generating a detection record and a detection report; an interaction terminal, a tablet computer and a two-dimensional code printer. According to the invention, data can be automatically collected, processed and analyzed, personal errors are reduced, and the working efficiency of inspection work is improved; and digital management of a pressure pipeline inspection and detection process is realized.

The invention discloses an intelligent connection method for a photoelectric loop of a substation secondary system, and particularly relates to the field of substation secondary systems, comprising the following steps: designing a logic model structure of the secondary system; establishing an optical / electric loop connection template database; intelligent connection and cable assembly of core wires are realized based on an SPD model and an optical / electric loop connection template; and identifying a schematic diagram provided by a manufacturer and a terminal pattern and a terminal strip pattern in a terminal strip diagram, and matching a system electric loop model to perform intelligent diagram output. According to the method, the IPD, CPD and SPD models are constructed, the optical / electric loop connection template database is established, intelligent connection and cable assembly of the core wires are achieved, the drawing provided by a manufacturer is automatically recognized for intelligent drawing output, the efficiency of design, debugging and operation and maintenance of the secondary system of the transformer substation is improved, the consistency of the models in all links is ensured, and the reliability of the transformer substation is improved. And standardized sharing of the data model is realized.

An astronavigation material database system belongs to the technical field of astronavigation material databases and comprises a basic platform layer, an application service layer and a presentation layer. The public service layer comprises a public service plate; the application function layer comprises but is not limited to a material management plate, a material data application plate and a material big data analysis plate. The invention discloses an astronavigation material data system, which comprises a word standard specification, establishes an astronavigation material database, can perform big data analysis according to a computer software technology, a network technology and a digital technology, and can realize intelligent recommendation and intelligent knowledge management of astronavigation materials.

The invention relates to the technical field of pilot state monitoring, in particular to a pilot state monitoring and flight data real-time synchronous fusion system, which comprises an information acquisition module used for acquiring physiological state information of a pilot and flight data information of an airplane in real time; the intelligent control module is used for controlling the operation of the camera, the electroencephalogram acquisition device and the electrocardiograph; the information processing module is used for carrying out preprocessing operation on the collected pilot physiological state information and the collected aircraft flight data; and the data fusion module is used for fusing the physiological state information of the pilot and the flight data parameters of the aircraft. The early warning assistance module is used for immediately sending out an early warning signal when an abnormality is found; and positioning information and rescue guidance are provided for a pilot under the emergency condition that the aircraft encounters danger. According to the current attention state and the task requirement of the pilot, the system can dynamically adjust the collection frequency and the collection position of the electroencephalogram collection device so as to improve the efficiency and the pertinence of data collection.

The invention discloses a cross-domain data fusion method and system for distribution network middle stations based on a knowledge graph, and particularly relates to the technical field of data processing and fusion based on the knowledge graph. Firstly, intelligent gateway equipment is adopted to collect operation, fault, maintenance and other data of all systems and all lines related to distribution network operation, the data are transmitted to a data processing and storage module through a 5G communication protocol port transmission technology, and data cleaning, data integration, data conversion and other operations are carried out; classifying and storing the data, and then constructing a mapping knowledge domain in the distribution network; according to the method, a 5G communication protocol port transmission technology and a composite model are specifically adopted to perform knowledge extraction and knowledge fusion of graph construction, so that the technical problems of data islands and other data processing in a distribution network are solved, data sharing, service sharing and resource integration are effectively realized, and the reliability of the distribution network is improved. The problem that data between distributed systems in the current distribution network field is difficult to cooperate is solved, semantic integration and sharing of data between multiple systems are achieved, and the operation and maintenance efficiency and the intelligent level of a power distribution network are improved.

The invention discloses a multi-center inherited metabolic disease information integration platform, and relates to the technical field of medical treatment, according to the multi-center inherited metabolic disease information integration platform, the normalization and availability of data are improved through a data standardization module; data from different centers are integrated into a unified database through the data integration module by utilizing a data fusion technology, redundant data are removed, the problem of heterogeneous data integration is effectively solved, and the integrity and consistency of the data are improved; the privacy protection module avoids data leakage and unauthorized access; through the resource calculation management module, the resource utilization efficiency is effectively improved, and the calculation cost is reduced; and secondly, the storage resources are dynamically adjusted and allocated according to the evaluation result of the storage index Cczs, so that the optimal management of the storage resources is realized, the problems of resource waste and resource insufficiency are avoided, and the efficient operation of the system is ensured.

The invention discloses a building energy consumption management system and method based on big data, and relates to the technical field of energy consumption management, and the system comprises an intelligent energy consumption analysis module, an equipment health monitoring module, a dynamic energy consumption scheduling module, a renewable energy integration module, a user behavior analysis module, and a collaborative energy management module. The method comprises the steps of data acquisition and input, data analysis and decision, and resource sharing and collaborative management. According to the big data-based building energy consumption management system and method, through implementation of the big data-based building energy consumption management system, a building manager can realize comprehensive monitoring and intelligent optimization of energy consumption, energy consumption and operation cost are significantly reduced, and comfort and satisfaction of a user are improved at the same time; through integration of real-time data and an advanced analysis technology, environment setting in a building can be effectively adjusted, sharing of renewable energy sources and collaborative management of communities can be promoted, the goal of sustainable development is promoted, and the win-win situation of economy and environmental protection is achieved.

The invention relates to the field of hydroelectric equipment, and provides an intelligent object construction method of a hydroelectric equipment body, which comprises the following steps: establishing a hydroelectric equipment state intelligent sensing system, and obtaining state data of hydroelectric equipment; establishing a multi-source information fusion, feature extraction and self-learning analysis system based on the hydroelectric equipment; the state of the hydroelectric equipment is intelligently evaluated; carrying out early warning on faults of the hydroelectric equipment; through the above steps, the construction and evaluation of the intelligent object of the hydroelectric equipment are realized. By constructing a full-service process of multi-dimensional situation intelligent perception, multi-source information fusion, feature self-learning, fault self-diagnosis and maintenance self-decision making of the hydroelectric equipment, comprehensive monitoring evaluation and intelligent management of a hydroelectric equipment body are realized, the evaluation precision of the operating state of the hydroelectric equipment is greatly improved, early warning can be realized, and the service life of the hydroelectric equipment is prolonged. And the operation efficiency and the safety of the equipment are improved.

The invention discloses a visual database system supporting real-time collaboration and computer equipment, and the system comprises a space management module which is used for managing a database space and dividing a database into a plurality of spaces, and the use permissions of different users are restrained to be in the corresponding spaces; the user system module is used for managing user attributes and user permissions of the users in each space based on configuration operation of an administrator on the visual page; the database management module is used for performing data storage in each space based on preset database configuration data, and querying the data stored in the corresponding space based on a data query instruction input by a user on the visual page; the operation auditing module is used for querying and auditing the data modification information of all the spaces based on the user permissions of different users and recording the data modification information; and the API management module is used for accessing a RESTful interface to query and modify the data in the database management module.

The invention discloses a shield forming tunnel form data processing system and method, and relates to the technical field of tunnel data processing. The shield forming tunnel form data processing method specifically comprises the following steps: S1, collecting and preprocessing data of a plurality of sections in a shield forming tunnel; s2, calculating the offset of the center of each segment; s3, continuously measuring and analyzing a deformation trend; s4, predicting offset change by using a linear regression model; s5, predicting the final offset of the duct piece by using the trained model; the removed abnormal values are recorded and analyzed, so that abnormal factors of segments in the tunnel can be screened, potential problems can be found and solved in time, further deterioration of the problems is prevented, and safety and stability of the tunnel are ensured; the deformation is calculated and the deformation trend is analyzed by using a time sequence, so that the deformation trend can be found in time, a subsequent detection plan can be formulated, the deformation problem can be found and processed in time through continuous monitoring, and the stability and the safety of the tunnel are ensured.

The invention discloses a lake and reservoir inflow and outflow scheduling scheme optimization method and system based on a three-dimensional hydrodynamic force-water quality-water ecological model, and the method comprises the steps: firstly constructing a three-dimensional hydrodynamic force-water quality-water ecological model of a target lake and reservoir, setting a scheduling constraint, a scoring constraint, a scoring single item, and a comprehensive scoring weight by a decision maker, stratified sampling and one-dimensional uniform random sampling are carried out on each flow range of a water replenishing port, a flow outlet and a water suction pump station which can be regulated and controlled manually according to scheduling constraints set by a decision maker, and a plurality of inflow and outflow scheduling schemes are generated; and performing big data mining on the model calculation results of all the access flow scheduling schemes, performing comprehensive scoring according to the scoring single item and the comprehensive scoring weight, and selecting the access flow scheduling scheme with the highest comprehensive score as an optimal scheduling scheme for recommendation. The method has the advantages of high simulation precision, flexible decision support, multi-target comprehensive balance and the like, and a scientific and efficient technical solution can be provided for lake and reservoir inflow and outflow scheduling.

The invention discloses a digital twin model evolution method and system based on constructional engineering. The invention relates to the technical field of constructional engineering. Related data of the long-distance water conveyance project are collected, wherein the related data comprise BIM model data, oblique photography three-dimensional model data and GIS data; meanwhile, the data are preprocessed, including format conversion, coordinate unification and denoising, so that the quality and consistency of the data are ensured. A three-dimensional BIM model of the engineering facility is constructed based on Autodesk Revit according to a design drawing and collected data, the facility and equipment in the BIM model are coded according to a KKS coding rule, and a coding database is updated; according to the method, the BIM model data, the oblique photography three-dimensional model data, the GIS data and other multi-source data are fused, a refined three-dimensional scene model is constructed, and comprehensive integration of engineering facility information is achieved. Therefore, data sharing and collaboration among different departments and professions are facilitated, and the overall working efficiency is improved.

The invention discloses a beam line station synchronous data acquisition device and method, and belongs to the technical field of beam line station control, and the device comprises an equipment control layer and an application layer. The equipment control layer comprises a plurality of acquisition cases, an upper computer and a time service unit, the plurality of acquisition cases are respectively connected to the upper computer, and the time service unit is respectively connected to the timing module in each acquisition case; the application layer comprises an equipment abstraction module, a process abstraction module, a queue server module, a data storage module and a data visualization module. Unified abstract packaging is carried out on beam line station equipment and an experimental process, so that the same set of software framework is universal in all experimental modes and methodology, and a unified architecture for controlling a spectroscopy, imaging and diffraction experimental process is realized; experiments can be executed autonomously according to the queue sequence, automation of the experimental process is achieved, data acquisition efficiency is improved, and then the problems that in a beam line station, multi-device synchronization efficiency is low, and synchronization signal lines are prone to interference are solved.

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 relates to the technical field of data processing, and discloses a data management method and system based on a block chain and a meta universe, and the method comprises the steps: collecting initial data in a smart city through employing an intelligent device, carrying out the preprocessing of the initial data, determining a corresponding relation between data under the chain and a block record on the chain, and carrying out the collection of the data. Constructing a meta-universe virtual digital space of the smart city by using a three-dimensional modeling technology based on the second data in the block chain; constructing an intelligent prediction model through a GAN adversarial network, an LSTM network and an improved dung beetle optimization algorithm, and performing data prediction on the second data by using the intelligent prediction model to obtain a prediction result; and the user accesses the data of the smart city through the virtual reality device, and personalized recommendation is performed by the smart city. The data management level of the smart city can be improved, powerful support is provided for city planning and resource allocation, and the smart city can be promoted to develop towards a more intelligent direction.

The invention discloses a prototype-based federated medicine multi-modal Hash retrieval method, system and equipment and a medium, belongs to the technical field of federated learning and multi-modal Hash retrieval, and aims to solve the technical problem of how to effectively guarantee the privacy and security of medical data in a multi-modal Hash retrieval process. The technical scheme adopted by the invention is as follows: the method comprises the following steps of: constructing a medical multi-modal data set; constructing a federal medicine multi-modal Hash retrieval model based on the prototype: constructing the federal medicine multi-modal Hash retrieval model based on the prototype by utilizing a neural network and a deep learning technology; model training: training a federal medicine multi-modal Hash retrieval model based on a prototype by utilizing the final data set; the method for constructing the federal medicine multi-modal Hash retrieval model based on the prototype comprises the following specific steps: performing medical multi-modal fusion; carrying out prototype parameter reinforcement learning; a hash retrieve query.

The invention relates to the technical field of intelligent questions and answers, and discloses an AI-based multi-user interactive popular science knowledge questions and answers interactive platform, which brings a plurality of users into an interactive session space through a user identity recognition unit, and constructs a multi-dimensional popular science knowledge data module by using a data module construction unit. The user request receiving unit receives questions of multiple persons, and after the question text processing unit preprocesses the questions, the user intention recognition unit analyzes deep semantics of the questions. The candidate answer retrieval unit retrieves candidate answers from the knowledge module, and the interactive answer generation unit screens, combines and adjusts the candidate answers in combination with the multi-person session context to form an interactive reply text. And finally, the user interaction processing unit realizes multi-user real-time interaction and question and answer. Through the AI technology, interestingness and interactivity of science popularization are improved, knowledge sharing and thinking collision are promoted, and science popularization efficiency and user learning experience are effectively improved.

The embodiment of the invention provides a PDF file analysis method and system, electronic equipment and a storage medium, and belongs to the field of document analysis. The method comprises the steps that a PDF file to be analyzed is read, the PDF file is recognized as a file in a markdown format, and a first file containing PDF content is obtained and recorded as markdown content; identifying the PDF file in an open source ocr mode to obtain a second file containing PDF content, and recording the second file as ocrcontent; according to the position of the label, performing character verification on the Markdown content, and restoring the verified file into a file in a Markdown format according to the position of the label; and extracting a title and content of the file. According to the method, the PDF file is subjected to format conversion, so that the file is easier to edit, and finally, the structure and format information in the original PDF file is reserved, so that the format of the converted Markdown file is closer to that of the original file.

The invention belongs to the technical field of digital economy monitoring, and particularly relates to a digital economy monitoring method based on a block chain technology, and the method comprises the following steps: 1, constructing a digital economy co-creation platform based on a block chain, and enabling the digital economy co-creation platform to comprise a plurality of participants and a supervisor; 2, a plurality of participants jointly generate values through resource integration in the value co-creation process based on the digital economic co-creation platform, and a value network structure is constructed based on a block chain; 3, in the value network structure, dividing a value co-creation process into a value resource selection stage, a value resource acquisition stage and a value win-win stage through analysis and function definition of a resource subject; and step 4, the supervisor supervises whether the establishment process of the digital economic co-creation platform and the value co-creation process of the plurality of participants based on the digital economic co-creation platform are abnormal in real time. According to the invention, all participants share innovative resources, and the resource sharing safety performance is high.