2245 results about "Information management" patented technology

The invention relates to the technical field of agricultural information management, and particularly discloses an agricultural information management system and method based on a big data platform, and the method comprises the steps: firstly deploying a multi-source data collection module at an edge calculation node, and obtaining and standardizing the soil moisture content, meteorological environment and equipment operation data in real time; secondly, constructing a local dynamic irrigation strategy model, and realizing multi-objective optimization through a reinforcement learning algorithm; establishing a federated learning framework at the cloud, dynamically distributing node weights by adopting an attention mechanism, and realizing model aggregation of privacy protection in combination with secure multi-party computing; an optimal irrigation instruction is generated through a multi-source data fusion engine, and a three-level response exception handling mechanism is established; and finally, a closed-loop feedback system containing short-term incremental learning and long-term architecture optimization is formed. The corresponding management system comprises six functional modules, namely a data acquisition module, a local modeling module, a federated learning module, a real-time decision-making module, an abnormal monitoring module and a closed-loop optimization module.

The invention discloses a verifiable medical data query method based on a DAG block chain architecture, and belongs to the technical field of block chains and medical information management. According to the method, medical events such as diagnosis and treatment records and image reports are modeled into DAG nodes, an on-chain topology with time sequence and causal association is constructed by encrypting a hash pointer, dynamic indexing and multi-keyword verifiable query are achieved in combination with an off-chain authentication data structure, a verification object containing a matching node set and a verification path is received, and the verification object is subjected to dynamic indexing and multi-keyword verifiable query. The authenticity, integrity and timeliness verification of the result is independently completed based on the authentication root stored on the chain without depending on a third party. According to the method, through an on-chain and off-chain collaborative storage and incremental authentication updating mechanism, on the premise of ensuring privacy and tamper-proofing of medical data, query efficiency, verification performance and expandability under high concurrency are remarkably improved, communication and resource expenses are lower, and the method is suitable for large-scale popularization and application. The method is suitable for application scenes such as cross-institution medical data sharing, remote diagnosis and treatment and compliance auditing.

The invention relates to the technical field of archive information management, and discloses an archive metadata intelligent extraction and indexing system, which comprises a multi-modal preprocessing module for obtaining and preprocessing original multi-modal archive data; the context entity recognition module is used for performing entity recognition and standardization according to the context vector; the cross-modal fusion module is used for carrying out confidence weighted multi-modal fusion and logic verification; the archive association module is used for carrying out association identification and consistency detection between archives; the intelligent indexing module is used for carrying out hierarchical intelligent indexing and quality feedback on the consistency constrained file metadata set; the quality evaluation module is used for carrying out metadata quality evaluation and active repair on the standardized indexing result; the knowledge graph module is used for constructing a time sequence knowledge graph and intelligent retrieval service; according to the method, collaborative extraction of cross-modal information is realized by constructing a confidence-weighted multi-modal fusion model and a bidirectional attention mechanism.

The invention discloses a building engineering data information intelligent management method, and relates to the technical field of information management, and the method comprises the steps: collecting and aligning construction site multi-source heterogeneous data, forming an engineering alignment data set, extracting construction state features based on the alignment data set, and calculating a comprehensive deviation index; according to the method, the multi-source heterogeneous data and the dynamic twinborn model are fused, real-time monitoring, prediction and optimization control of the construction site state are achieved, the dynamic twinborn scene is constructed, the health state mapping of the key component is generated, and the construction optimization strategy is generated based on the health state mapping and the deviation index and is controlled. The structural deviation is quantitatively analyzed, the optimal construction strategy is automatically generated, model self-evolution and parameter self-optimization are achieved through feedback learning, the safety and intelligent level of constructional engineering are remarkably improved, the energy consumption and the construction period delay rate are reduced, and conversion from static monitoring to active decision making is achieved.

The invention discloses a sewage treatment information intelligent management method, system and equipment based on the Internet of Things, and relates to the technical field of sewage treatment information management, and the method comprises the steps: 1, collecting multi-source water quality data, initializing sensor equipment, and carrying out the primary processing and caching of the data; step 2, carrying out edge intelligent prediction on pollutant concentration and pollution load sudden increase; step 3, establishing a prediction and control response model, introducing a control strategy generation mechanism based on a rule engine and priority tradeoff, and calculating a dosing dynamic sensitivity value; 4, adjusting frequency conversion of a fan, a dosing module and a reflux pump, and feeding back, collecting and uploading in real time; and step 5, performing artificial intelligence strategy center verification and a digital twinborn simulation strategy, analyzing multi-plant load scheduling and implementing optimization measures, and performing visual interaction in real time. The problem of energy and medicament waste caused by lack of a feed-forward pre-judgment mechanism is solved.

The invention relates to the technical field of system monitoring, and discloses an information system full-link monitoring method based on high-frequency index acquisition optimization, which comprises the following steps: monitoring the running state of an information management system in real time, dynamically adjusting the sampling frequency by means of a customized service key identification component and a comprehensive load prediction model, and performing real-time monitoring on the sampling frequency. Transmitting the target data to the edge computing node; a lightweight monitoring agent is deployed at an edge node, and a wavelet signal decomposition algorithm is adopted to extract features and distinguish data types; constructing an information management business knowledge graph and an entity-relation-business rule base, associating abnormal features, and generating an abnormal root cause report in combination with a time sequence prediction model and a knowledge constraint large language model; based on report and information service priorities, monitoring resources are dynamically allocated in the edge-cloud collaborative architecture, and related model parameters, service association rules and constraint weights are optimized according to operation and maintenance feedback. According to the invention, targeted monitoring requirements in the business peak period and efficient utilization of system resources can be met at the same time.

The invention relates to the technical field of fund information management, in particular to a fund exchange information management system based on big data analysis. The system comprises a multi-source heterogeneous data acquisition and fusion module, an enterprise dynamic behavior portrait construction module, a hidden association network mining module and a trade background authenticity dynamic evaluation module. The method comprises the following steps: firstly, collecting and processing data from a plurality of data sources to generate a fused fund exchange record; constructing an enterprise dynamic behavior portrait based on the record; furthermore, a hidden association network graph is constructed based on the data, the data are received at the same time, the transaction behavior deviation degree is identified through behavior consistency check, fund closed-loop analysis is carried out on abnormal transactions, and finally a trade background authenticity index and a risk decision signal are generated. According to the invention, dynamic evaluation and risk early warning of supply chain financing trade background authenticity are realized, and the risk control capability of a financial institution is effectively improved.

The invention relates to a multi-class archive knowledge question and answer agent based on a large language model, and belongs to the technical field of artificial intelligence and archive information management. The intelligent agent comprises a data preparation module, a semantic knowledge base construction module, a perception and analysis module, a decision and matching module, an execution and retrieval module, a cognition and reasoning module and an interaction and generation module. According to the method, the complex query intention of the user can be accurately understood, automatic association and semantic reasoning across archive categories are achieved, and the semantic splitting problem of a traditional retrieval mode in cross-category and multi-level query is effectively solved.

The embodiment of the invention provides a context information management method and device based on hierarchical memory, equipment and a medium, and the method comprises the steps: analyzing a task request to generate a sub-task node sequence containing a target description and acceptance function, and arranging a plurality of agents to cooperatively execute a task, and after the audit is passed, a complete execution context is stored in a long-term memory, and a structured abstract is generated and stored in a short-term memory, so that the problem that the context management mechanism of the existing multi-agent system is single is effectively solved, stable maintenance of cross-session cognitive continuity is realized, and the efficiency of the multi-agent system is improved. The method improves the execution reliability of a complex long-process task, optimizes the information storage and retrieval efficiency through hierarchical memory, reduces the risk of semantic deviation accumulation and amplification, clarifies the task target and acceptance standard of each stage, enhances the multi-agent cooperation consistency, and improves the efficiency of task execution. And the execution efficiency and the task completion quality of the intelligent agent system in a complex application scene are comprehensively improved.

The invention relates to the technical field of information management, in particular to a smart agriculture precision big data information management system, which comprises a growth index extraction module, a stage data clustering module, a nutrient fluctuation identification module, an agricultural material strategy generation module and a scheduling information scheduling module. According to the method, the acceleration criterion is constructed based on the continuous period leaf area index change sequence, transition node identification is completed in combination with the photosynthetically active radiation utilization rate and the nitrogen absorption rate change trend, accurate positioning of crop growth stage change time points is achieved, the stability of stage classification in a space region is enhanced, and the accuracy of crop growth stage classification is improved. The agricultural material putting grade is judged and the fertilization frequency and dosage are blended by analyzing a root zone soil nutrient concentration difference value and a rate fluctuation frequency detection mode in combination with moisture content and root activity conditions, and operation period adjustment is guided in a task schedule in cooperation with a meteorological element fluctuation rate. The precision of farmland crop stage identification and the timeliness of nutrient fluctuation response are integrally improved.

The invention relates to the technical field of education management, in particular to an information management method and system for family-school joint communication, and the method comprises the steps: an information transmitting end selects a target communication protocol from preset communication protocols according to the attribute parameters of to-be-transmitted family-school information; and processing the to-be-transmitted home-school information into a plurality of transmission data blocks based on the target communication protocol, and transmitting the transmission data blocks to an information receiving end. The information receiving end carries out aggregation processing on the transmission data blocks according to the metadata labels on the accessed transmission data blocks, and an aggregation information packet matched with identity authentication of the information receiving end is generated; according to the method and the device, evidence storage is performed on the preset block chain node according to the hash value corresponding to the aggregation information packet, the communication voucher is generated according to the evidence storage result, and the limitations of the existing static scheme in the aspects of efficiency, security and adaptability are overcome through the synergistic effect of protocol optimization, intelligent aggregation and credible evidence storage.

The invention relates to the technical field of intelligent manufacturing and industrial big data application, in particular to a production and manufacturing information management system and method based on big data integration. The method comprises the following steps: carrying out multi-dimensional characteristic parameter acquisition on wood in a production and manufacturing process, and constructing a wood digital characteristic model; importing the wood digital characteristic model into an enterprise big data platform to carry out enterprise-level data integration, and carrying out distributed storage and retrieval system construction to form a wood characteristic parameter map; wood deformation data are obtained and extracted from the finished product use data, characteristic-deformation correlation analysis is conducted, and a characteristic deformation correlation table is obtained; and carrying out deformation risk analysis according to the characteristic deformation association table to obtain a wood deformation sensitivity index. According to the method, the big data system throughout the full life cycle of the wood is constructed, so that high stability and high quality of products are guaranteed from the source while the resource utilization rate is maximized.

The invention relates to the field of artificial intelligence, and discloses a multi-modal memory system and method for intelligent interaction. The system comprises a multi-modal information acquisition module, a confidence evaluation module, a scenario aggregation module, a knowledge graph construction module, a hierarchical storage module, an intelligent retrieval module, an active verification module and a memory management module. The core problems that in the long-term user interaction process of an existing artificial intelligence system, multi-modal information management is fragmented, information credibility is not quantitatively evaluated, memory organization lacks semantic association, a retrieval mode is single and passive, and memory life cycle is not adaptively managed are solved. Finally, unified collection, quantitative confidence evaluation, scenario semantic organization, associative intelligent retrieval and adaptive memory optimization of multi-modal information are realized, high-quality and high-efficiency long-term memory support is provided for scenes such as intelligent assistants, smart home, medical health and educational training, and the user experience and practical value of an artificial intelligence system are remarkably improved.

The invention relates to the technical field of medical image information processing, and discloses a medical image information management system based on wisdom medical treatment, which comprises a scene perception preprocessing module, a cross-modal attention fusion module, a weak supervision annotation module, a comparative analysis module, a collaborative report generation module, a knowledge graph reasoning decision module and a consultation collaborative platform module. The image quality is improved through scene adaptive preprocessing; a hierarchical cross-modal attention mechanism is adopted to realize multi-modal feature alignment and fusion; lesion labeling is carried out based on a cascade weak supervised learning strategy; obtaining a focus evolution trend through time sequence correlation analysis; generating a standardized diagnosis report by using a visual language collaborative network; providing treatment scheme recommendation based on individualized knowledge graph reasoning; and a multidisciplinary consultation cooperation platform is constructed. According to the method, the scene adaptability of image quality evaluation is improved, the multi-modal semantic alignment capability is enhanced, the dependence of focus labeling on a fine sample is reduced, and dynamic disease monitoring and individualized diagnosis and treatment decision support are realized.

Systems and techniques are provided for automatically analyzing and processing domain-specific image artifacts and document images. A process can include obtaining a plurality of document images comprising visual representations of structured text. An OCR-free machine learning model can be trained to automatically extract text data values from different types or classes of document image, based on using a corresponding region of interest (ROI) template corresponding to the structure of the document image type for at least initial rounds of annotations and training. The extracted information included in an inference prediction of the trained OCR-free machine learning model can be reviewed and validated or corrected correspondingly before being written to a database for use by one or more downstream analytical tasks.

The invention discloses a customer information updating and management method and system based on big data, and relates to the technical field of big data and customer relationship management. Comprising the following steps: firstly, collecting multi-source customer data and constructing a multi-dimensional time sequence characteristic panel; then, through sharing an integrated model of a bottom layer, synchronously predicting a dynamic life cycle value and a continuous loss risk probability of the customer; the network influence weight of the customer is quantified by using an influence penetration model and Monte Carlo simulation; further, fusing the three dimensions, and generating a resource allocation coefficient through a multi-objective optimization function based on a customer type dynamic configuration weight; and finally, automatically updating the customer label based on the coefficient, and combining atomic operations through a strategy arrangement engine to form personalized strategy workflow execution and closed-loop optimization. According to the method, the problems of static isolation and strategy lag of traditional customer information management are solved, and accurate insight of customer values and dynamic intelligent distribution of management resources are realized.

The invention provides a digital economic information management method and system based on big data analysis, and the method comprises the steps: integrating the data of a consumption end, a production end and a server end through a unified platform, guaranteeing the transmission safety through the combination of differential privacy and TLS 1.3, recording the full life cycle of data through a segmented block chain, supporting the dynamic authorization and fine-grained authority control, and improving the efficiency. The method comprises the following steps: verifying data purposes by combining zero-knowledge proof, fusing NLP, image processing and time sequence analysis, constructing a knowledge graph, generating dynamic tags and composite features, simulating decision influence through anti-fact analysis, supporting generation of a Pareto optimal solution by an interactive decision tree, and providing a market trend thermodynamic diagram and a supply chain risk graph. Customized suggestions are pushed to an ERP system in real time, sensitive data are protected based on role permission and lightweight homomorphic encryption, abnormal behavior monitoring and zero-knowledge proof compliance review are combined, a service scene is simulated through an A / B sandbox, and low-code community drives demand iteration.

The invention aims to provide an unmanned aerial vehicle operation airspace information processing method, a flight plan optimization method and a flight information management system, in the scheme, when an operation airspace topological graph is constructed, the calculation complexity is obviously reduced, the calculation efficiency is effectively improved, meanwhile, the connectivity of a key airspace is effectively reserved, and the structural interpretability is improved; when the flight plan is optimized, a double-layer optimization decision framework is adopted and comprises a strategy self-adaptive selection layer and a mixed integer nonlinear programming scheduling layer, so that optimization scheduling is more global, and local optimum is avoided; besides, the flight information management system effectively utilizes calculation results of related methods, airspace operation limitation information including an operation airspace topological graph can be obtained more efficiently and accurately, a flight plan is better optimized on the basis, the cooperative operation capability of the unmanned aerial vehicle and the manned aerial vehicle in the airspace is improved, and the flight efficiency is improved. And comprehensive operation situation information is provided for the controller to assist the controller in making an accurate decision.

The embodiment of the invention provides a non-performing asset complaint and dispatch integrated system and method. The system comprises a case import and initialization module, an intelligent case division and strategy matching module, a disposal execution module, a mediation stage module, a litigation stage module, a case settlement and filing module and a data analysis and optimization module. Data interconnection and intercommunication among a financial institution, an outsourcing institution, a mediation center / law office and a court can be realized, case information of the whole process is collected in a unified manner, and informatization management of the urging and complaint business of the whole process including case distribution, collection, online mediation, electronic signing, file filing, litigation result follow-up and the like is realized. The method draws the dynamic image of the case to formulate a proper disposal strategy, timely allocates the appropriate disposal strategy to the corresponding institutions to carry out disposal work, provides digital intelligent services of one-stop follow-up, full-process scheduling and full-chain solution for the vast institutions, improves the case circulation efficiency, saves judicial resources, optimizes the clearing and receiving effect, and comprehensively reduces the cost and increases the efficiency.

The invention relates to the technical field of information management, in particular to an underground pipeline gallery risk monitoring method and device. According to the method, a heterogeneous sensing terminal network is used for sensing a target underground pipeline gallery according to a fast and slow time sequence, and a pipeline gallery monitoring anchor point set is determined; performing cross-modal interaction on a heterogeneous sensing terminal network based on the pipeline and pipe gallery monitoring anchor point set to obtain a pipeline and pipe gallery monitoring anchor point multi-modal fusion feature set; performing anchor point risk assessment according to the pipeline and pipe gallery monitoring anchor point multi-modal fusion feature set, and obtaining a pipeline and pipe gallery monitoring anchor point risk factor set according to an assessment result; and when the pipeline and pipe gallery monitoring anchor point risk factor set is greater than or equal to a preset anchor point risk factor threshold value, triggering a risk early warning instruction. According to the method, accurate identification and dynamic early warning of the key risk points of the underground pipeline gallery are achieved through fast and slow time sequence sensing and cross-modal feature fusion processing based on the monitoring anchor points.

The invention provides an intelligent document understanding method and system combining natural language processing and deep learning, and relates to the technical field of natural language processing and information management. Fusing the semantic pre-annotation result and the original text feature of the document, inputting the fused semantic pre-annotation result and the original text feature of the document into a cross-modal semantic enhancement model to obtain a document enhanced semantic representation, performing bidirectional semantic interaction with a dynamic business knowledge network based on the document enhanced semantic representation, generating an associated interaction result, and constructing a structured semantic asset; finally, the structured semantic assets are input into an intelligent document application engine, semantic feedback data are collected to optimize model parameters, document understanding accuracy and practicability can be improved, and diversified business requirements are met.

The application discloses a multi-platform recruitment information management system and method based on big data, relates to the technical field of recruitment information management, and effectively reflects production operation states through indexes such as sorting speed and calibration response, and replaces written certificates with AR simulation tests to realize more intuitive and operable talent qualification certification, and make up for the short board of information isolation, subjective evaluation and untimely verification in traditional certification; the dynamic capability evaluation model and the elastic team formation strategy generator work cooperatively, match post skills according to actual production requirements, dynamically adjust personnel combination ratios, and give consideration to cost and production progress, so that the problems of fragmented recruitment information, data lag and skill evaluation deviation existing in the background are effectively solved, and the scientificity and accuracy of recruitment and training decisions are improved.

The invention relates to an electronic component information management method and system based on multivariate heterogeneous data fusion. The method comprises the following steps: S1, data acquisition and preprocessing; step S2, multi-modal data fusion is carried out; s3, intelligent analysis and decision making; and S4, data interaction and servitization. Multi-source heterogeneous data is collected through an industrial Internet of Things sensor, cross-modal data fusion is realized in combination with a federated learning framework and a graph neural network, intelligent decision suggestions are generated by using a deep reinforcement learning model and a knowledge graph inference engine, the problems of insufficient data fusion capability and lack of real-time performance of a traditional method are solved, and the method is suitable for large-scale popularization and application. The method has the advantages that deep fusion of multi-modal data is realized, real-time intelligent decision is supported, and the full-life-cycle management efficiency is improved.

The invention discloses an electronic ticket ordering and payment application system based on a block chain, relates to the technical field of block chains, and is used for ticket business whole-process digital management, and a user interaction module supports multi-terminal operation and information management; the block chain order management module is responsible for order chaining and state updating; the multi-mode payment module supports double-track payment and encrypted transmission; the comprehensive matching module is linked with the block chain order management module and comprises a meal subsystem, a tourism subsystem, a hotel reservation subsystem and the like, and the passenger ticket verification module realizes multi-mode verification; the data storage module stores key data; and the intelligent contract scheduling module automatically executes the pre-deployed contract. The problems that an existing system is poor in data safety, low in efficiency and insufficient in adaptability are solved, ticket transaction safety and process automation are improved, data synchronization is guaranteed, multiple languages and multiple currencies are supported, user privacy is protected, multiple scenes are adapted, and travel and supervision requirements are met.

The invention discloses an integrated management and traceability method for a non-perpetual industry chain, and relates to the technical field of information management and data traceability, and the method comprises the steps: S100, building a uniform time mark baseline of a whole link, carrying out the nanosecond alignment of all write-in channels, extracting and solidifying the time sequence features of each piece of business data, and forming a time sequence fingerprint as a structured reference basis; and S200, constructing a ghosting detection chain based on the structured reference basis, collecting delay distribution and a phase difference track in a high-concurrency writing process, and identifying a potential region of a retention copy and positioning an abnormal point in combination with a delay distribution entropy. According to the method, the nanosecond time fingerprint, the ghost detection chain, the anti-fact playback mechanism and the causal residual spectrum are constructed to realize accurate identification and dynamic control of the whole writing process of the non-perpetual data, and an error frequency signal and a time reversal rearrangement mechanism are introduced to effectively prevent repeated curing and ensure the uniqueness and credibility of the data.

The invention provides a query method, electronic equipment and a storage medium, relates to the technical field of database information management, and is used for improving the matching degree of a query result and a user query intention when facing query with fuzzy user expression, incomplete information or complex logic. The method comprises the following steps: acquiring query information of a current query task; based on the query information, determining whether the query task is a complex query; under the condition that the query task is a complex query, based on the query information, splitting the query task into a plurality of subtasks, and based on the query information corresponding to each subtask, generating an SQL (Structured Query Language) subquery statement of each subtask; and querying based on the SQL sub-query statement of each sub-task to obtain a query result.

The present invention relates to a high pressure water jet automatic drilling and cutting collaborative system and method for coal seams, and belongs to the field of coal seam gas control. The system comprises a drilling and cutting collaborative control platform, an automatically regulated slotting pump unit and an automatically regulated drill; the drilling and cutting collaborative control platform comprises a coalbed gas geology management system, a decision analysis system, a drilling and cutting collaborative execution system, a monitoring and feedback system, and an information management and evaluation system; construction operation parameter instructions issued by the drilling and cutting collaborative control platform are executed by the automatically regulated slotting pump unit and the automatically regulated drill; coal seam geological information is recorded by the coalbed gas geology management system, and reasonable drilling and cutting construction parameters are analyzed and formulated by the decision analysis system based on the coal seam geological information. Drilling and cutting collaborative construction, on-site operation construction parameter monitoring, and real-time feedback and adjustment are realized by the drilling and cutting collaborative execution system and the monitoring feedback system according to the operation parameter instructions. Coal seam outburst prevention and control effects in a drilling and cutting collaborative implementation area is evaluated by the information management and evaluation system. The present invention improves safety of on-site operators, and reduces personnel input and labor intensity.

A domain controller (203) and an energy storage system (200) are provided. The domain controller (203) is used for the energy storage system (200), the energy storage system (200) comprises an energy storage unit (201) and a non-energy storage unit (202), the non-energy storage unit (202) comprises a thermal management unit and a fire fighting unit, and the non-energy storage unit (202) is used for assisting the energy storage unit (201); the domain controller (200) integrates a management module (2011) of the energy storage unit (201) and a management module (2021) of the non-energy storage unit (202) and is used for managing the non-energy storage unit (202) according to state information of the energy storage unit (201), the management strategy of the energy storage system (200) can be reasonably adjusted, and efficient energy-saving management of the energy storage system (200) is achieved.

The invention relates to the technical field of logistics information management, and particularly discloses a corrugated board logistics information tracking method and system based on RFID, logistics state data of corrugated boards are obtained through RFID and preprocessed, a knowledge graph including entities such as corrugated cartons, storage nodes and transportation tools and association relationships is constructed, the nodes are converted into low-dimensional vectors, and the low-dimensional vectors are stored in a database; key factors and causal effect values which cause anomalies in entity association are mined by utilizing a causal forest algorithm, an abnormal propagation path is reasoned through a graph neural network, a root cause report is generated, targeted decisions such as sorting adjustment, equipment maintenance and path re-planning are generated accordingly, and a graph and a model are updated in real time to adapt to dynamic changes. According to the method, multi-dimensional data, entity relation modeling, causal effect analysis, propagation path reasoning and dynamic optimization design are integrated, the problems of unclear explanation of abnormal root causes and lack of pertinence in decision making in traditional corrugated board logistics tracking are effectively solved, and the accuracy of logistics information tracking and decision making effectiveness are improved.

The invention provides a comprehensive emergency plan information management method and system, and relates to the technical field of plan information processing, and the method comprises the steps: constructing a first knowledge graph according to plan information corresponding to a plurality of historical emergency plans contained in a historical comprehensive emergency plan information base; determining an initial emergency plan for the to-be-planed event according to the first knowledge graph; constructing a second knowledge graph according to the content of the initial emergency plan; in response to occurrence of the to-be-planed event, determining conflict nodes of a second knowledge graph according to field information collected by the edge server; determining a supplementary plan in the first knowledge graph according to the basic information of the to-be-planed event and the conflict node; fusing the initial emergency plan according to the supplementary plan to obtain a target plan; and recording the determination of the initial emergency plan of the to-be-planed event and the generation of the target plan in a full cycle. According to the application, the intelligence, precision and dynamic response capability of comprehensive emergency plan management are integrally improved.