96 results about "GiST" patented technology

The invention provides a joint retrieval method and system based on knowledge enhancement, a medium and a terminal, and ensures that a retrieval result is not limited to text segments with similar literal surfaces through a structured knowledge base, a domain label knowledge base and a multi-source heterogeneous knowledge graph. And instead, an organic knowledge whole integrating direct clauses, related law articles, judgment key items and internal rules is formed, so that the generated reply has a rigorous legal basis and a complete business context, and claim settlement disputes and legal risks caused by lack of key knowledge association are reduced. And the compliance control is changed from lagging manual inspection to real-time beforehand system built-in, so that the compliance vacuum period caused by policy update lagging is reduced, and the supervision punishment and reputation risk of an enterprise is reduced. The historical versions are reserved, and the version replacement chain is established, so that explanation based on historical contexts is provided for insurance policy life cycle query crossing different time points, and the credibility and accuracy of customer services are enhanced.

The invention discloses an overlapping community detection method, system and device and a medium, and particularly relates to the technical field of community detection, and the technical key points are as follows: extracting node information data from a pre-constructed adjacent matrix of an overlapping community, and inputting the node information data into a point mutual information function to calculate and obtain point mutual information; obtaining a superpoint mutual information matrix by combining the point mutual information with the hypergraph structure; constructing a target function by using the super-point mutual information matrix and a pre-constructed three-factor illegal matrix decomposition optimization model based on graph regularization; decomposing the super-point mutual information matrix in the objective function to obtain an indication matrix, and solving the indication matrix by using an alternating iteration method to obtain an optimal solution of the indication matrix; and detecting the overlapping community based on the optimal solution of the indication matrix to obtain an overlapping community detection result.

The invention relates to the technical field of document management, and relates to a legal document key point automatic extraction and association method and system.The new legal document data of a target case is obtained, a preset document fingerprint algorithm is used for automatically comparing the new legal document data with a historical reference document, differential text data fragments are extracted, and the text data fragments are extracted; the method comprises the following steps of: performing deep semantic analysis on different text data fragments to generate candidate triple data containing entities and relationships, intelligently mapping the candidate triple data into a pre-constructed case knowledge graph, quickly positioning graph anchor nodes with data change, and then, performing data change on the basis of change types of the different text data fragments. And executing atomic updating operation on the map anchor node, including updating the dynamic mark of the node state attribute, and finally generating the change source node data with the latest state identifier. The problems that the current legal case data updating depends on manpower, is low in efficiency and is easy to make mistakes are effectively solved.

The invention discloses an engineering document generation method and system based on a logic structure tree and LLM and a medium. The method comprises the steps that original data are analyzed to form an initial text segment set X; calling LLM to generate an initial technical draft based on X, extracting a logic structure, and constructing an initial logic structure tree T; maintaining a search queue, for leaf nodes in the queue, acquiring context information related to semantics from X through a retrieval enhancement mechanism, after same-level brother node deduplication and global deduplication judgment, calling LLM to expand the nodes to generate child nodes, optimizing text description, and recursively enriching a tree structure; and finally, based on the X and the optimized tree, calling LLM to generate a title, an abstract and a background, generating content, details and key point chapters through traversal, and combining into a complete engineering document. The system comprises a document analysis module, a knowledge base module, a retrieval enhancement module, a logic structure tree maintenance module and a document generation module. The method is high in automation degree, and the generated document is clear in structure, complete in content and high in specialty.

The invention discloses a document generation method and device based on multi-agent collaboration and a medium, and relates to the technical field of artificial intelligence. The method comprises the steps of receiving a natural language research theme input by a user; inputting the research theme into a preset planning agent to generate a keyword set for executing network search according to the research theme; inputting the keyword set into a preset search agent, and executing a plurality of times of network search by utilizing a network search tool to obtain a plurality of key point type abstracts; and inputting the research theme and the plurality of key point type abstracts into a writing agent to generate a structured research report, and outputting the structured research report to a user interface.

The invention discloses a porosity real-time prediction method and system based on alkane gas and carbon isotope characteristics thereof and a storage medium, relates to the technical field of oil and gas reservoir development, and aims to solve the problem of insufficient precision in a heterogeneous reservoir due to neglect of dynamic characteristics of alkane gas carbon isotope in an existing method. The method is characterized by comprising the following steps: S100, collecting alkane gas concentration and carbon isotope data thereof in real time, and performing time-frequency decomposition on the data to obtain characteristic data on different time and frequency scales; s200, performing multi-scale feature extraction on the data to obtain multi-scale features; s300, performing feature fusion on the multi-scale features; s400, constructing a GNN network model, introducing an adaptive attention mechanism, residual connection, jump aggregation and time sequence dynamic fusion, constructing a graph structure by taking a reservoir unit as a node, and mapping a fusion feature to a graph node attribute; and S500, constructing a reservoir space structure based on the GNN network model, and combining physical constraint optimization to realize real-time prediction of the porosity.

The invention discloses a GIS fault intelligent identification and visual positioning method. According to the technical scheme, the method comprises the steps that S1, a multi-source data collection platform is built, S2, an adaptive wavelet packet decomposition algorithm is adopted, and an initial point cloud is obtained; s3, constructing a GIS equipment three-dimensional point cloud topology model based on the initial point cloud; s4, setting a correlation degree threshold, screening effective candidate areas, and preliminarily determining a defect position range; and S5, identifying a fault type by adopting an adaptive quantum particle swarm optimization-graph attention network model, and outputting a fault identification result and a three-dimensional visual positioning report. The method is mainly used for fault feature extraction, defect type identification, accurate positioning and visual operation and maintenance analysis of gas insulated switchgear of various voltage classes.

The invention discloses a fusion method and device based on multi-source water conservancy data, equipment and a medium, and relates to the technical field of water conservancy data processing, and the technical scheme is characterized in that the method comprises the steps: collecting water conservancy original data, carrying out the classified storage of the water conservancy original data according to a water conservancy data specification, and obtaining a water conservancy classification data set; preprocessing the water conservancy classification data set to obtain a preprocessed water conservancy classification data set, combining similar data of multiple sources, and carrying out missing compensation processing on the similar data to obtain a fused similar data set; and carrying out hierarchical modeling on the fused data sets of the same kind by utilizing distributed processing and a multi-bin hierarchical architecture design to obtain a standardized unified water conservancy data mart. The system has the advantages of high-efficiency water conservancy data acquisition, high-quality similar data fusion, high-standard heterogeneous data fusion, high-availability water conservancy data service and the like.

The application discloses an abstracted geological exploration database form generation method and system, and relates to the technical field of computers.The technical scheme is as follows: a geological object table is established by taking geological objects as indexes;corresponding data source fields are configured in the geological object table, and an exploration object field is configured; data sources, exploration objects and corresponding geological information are associated, and additional independent fields are configured to record geometric and attribute information of the same geological object collected by different exploration means; a data entry subtable is formed by extracting field combinations associated with exploration means from one or more geological object tables; and the geological object table is connected with a data output interface of an exploration database.The application takes results as a guide, takes geological objects as initial indexes, and takes data obtained by exploration means as data sources of each record in the geological object table, so that the data is associated and stored, the repetition of fields and forms is reduced, and the development and operation efficiency of the database is improved.

This invention discloses a method and system for extracting and analyzing key points of legal documents based on a large model, relating to the field of natural language processing technology. The invention generates a semantic parsing candidate graph based on legal semantic nodes and semantic relationships, calculates the matching scores of candidate paths in the semantic parsing candidate graph, summarizes the matching scores of all candidate paths in the semantic parsing candidate graph, and calculates the topological consistency index of the semantic parsing candidate graph. It identifies semantic conflict units and calculates initial conflict weights, and calculates the overall conflict impact of the semantic parsing candidate graph. Based on the topological consistency index, the basic semantic confidence of the semantic parsing candidate graph, and the overall conflict impact, it calculates a comprehensive score for the semantic parsing candidate graph and selects the optimal result, comprehensively optimizing and dynamically adjusting the legal semantic parsing results, significantly improving the accuracy, reliability, and intelligence level of legal text parsing.

This invention discloses a method and system for cross-domain fault diagnosis of rolling bearings with unknown inter-domain data label relationships. It relates to the field of rolling bearing fault diagnosis technology and aims to solve the problem of low fault diagnosis accuracy in existing transfer learning methods due to unknown data label relationships between the source and target domains. The key technical points of this invention include: constructing a comparative general domain adaptation model; introducing a BYOL network to mine the unique structure of the target domain data and proposing an entropy separation strategy to reject unknown class samples; simultaneously, designing a source class weighting mechanism to improve the transfer semantic enhancement method, assigning different class-level weights to the source classes, so that the feature distributions of the two domains are better aligned in the shared label space, further constructing a fault diagnosis model; and performing fault diagnosis through the trained fault diagnosis model. This invention exhibits superior fault diagnosis accuracy under different operating conditions.

The invention discloses a rolling bearing fault diagnosis method and system based on comparison decoupling single-source domain generalization, relates to the field of rolling bearing fault diagnosis, and aims to solve the problem that in the prior art, a method for effectively solving the problem that the model generalization performance is reduced due to insufficient diversity of single-source data in bearing fault diagnosis does not exist. The method is technically characterized by comprising the following steps: step 1, adopting rolling bearing time domain data, and performing two data enhancement processing on the rolling bearing time domain data to obtain two groups of enhanced data; step 2, the model construction is based on a causal decoupling network and a comparative learning BYOL framework, the causal decoupling network is used for extracting causal features and non-causal features of data, and the rank of the causal features is constrained through adaptive threshold weighted nuclear norm regularization; the contrast learning BYOL framework is used for pulling in causal features extracted from the two groups of enhanced data to obtain causal domain invariant features of each sample; step 3, using a prototype Gaussian triple loss function to constrain causal domain invariant features, and improving intra-class compactness and inter-class separability of training samples; and step 4, finally inputting a target domain sample to the trained comparison decoupling network model to realize diagnosis.

The invention provides a key point information generation method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, natural language processing, intelligent documents and the like. The method comprises the steps of generating a segmentation outline according to document contents of paragraphs in a to-be-processed document; according to preset theme information and the segmentation outline, paragraphs in the to-be-processed document are aggregated, and multiple aggregated theme contents are obtained; the theme content is segmented according to preset sub-themes, multiple segmented sub-theme content is obtained, and the sub-themes are sub-classes of themes obtained by dividing the theme information; and generating key point information for the to-be-processed document according to the information of the paragraphs in the multiple sub-theme contents. According to the method, the generation time of the document key point information is shortened, and the generation efficiency of the key point information is improved.

The invention discloses a point cloud registration method and system based on parallel plane group features, and relates to the technical field of registration algorithms, and the technical scheme is characterized in that the method comprises the steps: obtaining preprocessed two-point cloud data; extracting a triad structure descriptor from the preprocessed two-point cloud data, and obtaining a triad structure descriptor of a source point cloud and a triad structure descriptor of a target cloud; kD tree scanning matching is constructed, the most similar triad structure descriptor in the target point cloud is inquired for each triad structure descriptor in the source point cloud, point cloud transformation is calculated, and optimal initial matching is obtained; and performing multi-objective optimization on the optimal initial matching, and screening out the optimal transformation. The registration method mainly points to high-level structure information hidden in a scene structure, and a descriptor formed by plane groups greatly reduces the information calculation amount and the registration transformation number needing to be screened.

This invention discloses a quality traceability method based on collaborative management of the waterproof material supply chain, relating to the field of waterproof material technology. The key technical points include the following steps: acquiring raw data from the waterproof material supply chain and dividing the raw data into several data blocks; determining the relationships between data blocks and extracting quality content from the data blocks to generate data feature values; generating profile index factors for the data blocks based on data feature values, identifiers, dynamic index codes, and adjacent tags; comparing the material status information of the profile index factors according to quality evaluation criteria and analyzing the material status information to obtain quality profile labels for the profile data blocks; obtaining quality profile verification labels for the data blocks based on quality compliance, status deviation, and quality feature information; and outputting quality traceability results based on the quality profile verification labels and quality profile labels. The effect is to improve the efficiency of quality control in the supply chain.

1. The name of the present design product: the area of search bar of the graphical user interface of the key word search of the electronic device. 2. The use of the present design product: for an electronic device. 3. The design points of the present design product: in the claimed part of the graphical user interface. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used for key word search, and multiple types of fields are selected in the talent search input box for search screening. 7. The human-computer interaction mode of the graphical user interface: the graphical user interface can be interacted by clicking, pressing or sliding the graphical user interface. 8. The change state description of the graphical user interface: design 1 front view is a key word search interface, and position related information can be searched here. When the search box is empty, click the search box to display the drop-down menu of search history. When the mouse is selected and stopped on any historical search data, the search condition of the data is displayed, design 1 front view becomes design 1 change state figure 1; click any historical search button in design 1 change state figure 1 to search, enter design 1 change state figure 2; click any term below to enter design 1 change state figure 3; the label can be one or more, if the content exceeds the size of the search box after selecting multiple labels, it is omitted, such as design 1 change state figure 4; mouse over any label in design 1 change state figure 4, a red × appears on the label, such as design 1 change state figure 5. Design 2 front view is a key word search interface, and position related information can be searched here. When the search box is empty, click the search box to display the drop-down menu of search history. When the search box input content, the drop-down menu displays the search type label and the matching content related to the search content below the label, design 2 front view becomes design 2 change state figure 1; click any search type label button in design 2 change state figure 1, the current input content of the search box is searched as the type corresponding to the label, enter design 2 change state figure 2; click any term below to enter design 2 change state figure 3; the label can be one or more, if the content exceeds the size of the search box after selecting multiple labels, it is omitted, such as design 2 change state figure 4; mouse over any label in design 2 change state figure 4, a red × appears on the label, such as design 2 change state figure 5. 9. Other matters requiring explanation Other matters requiring explanation: The design of the present design product is partially protected by the design office. The part covered by the gray shadow is not claimed, and the rest is claimed.

1. The name of the design product: the search for housing part of the house source graphical user interface of the electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the local part of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: used as a house source search graphical user interface as a whole, and the search for housing part is used to search for house sources and display maps and house source related information. The user inputs the housing search information in the search box of design 1-design 4 front view, and the map and list below display the corresponding house source search results and related information according to the search information, such as displaying the search location, nearby communities and the corresponding number of house sources in the map. The user inputs the housing search information in the search box of design 5 front view, and the map and list below display the corresponding house source search results and related information according to the search information, such as displaying the search route and the corresponding number of house sources in the map. The housing search information input by the user in the search box can be a specific location, house source characteristics (such as business district, urban area, price), subway, etc. 7. The present design is a partial design, wherein the blue coated part is not claimed, and the map content displayed in design 1 to design 5 views does not belong to the claimed picture.

The application relates to the technical field of document management, and relates to a legal document gist automatic extraction and association method and system. Newly added legal document data of a target case is acquired, preset document fingerprint algorithms are used to automatically compare the newly added legal document data with historical benchmark documents, difference text data segments are extracted, deep semantic analysis is performed on the difference text data segments, candidate triple data containing entities and relations are generated, the candidate triple data is intelligently mapped to a pre-constructed case knowledge graph, graph anchor point nodes with changed data are quickly located, and then, based on the change type of the difference text data segments, atomic update operations are performed on the graph anchor point nodes, including dynamic marking update of node state attributes, and finally, change source node data with the latest state identification is generated. The method effectively solves the problems of dependence on manual work, low efficiency and errors in current legal case data updating.

Embodiments of the present application disclose a data clustering and summarizing method and device, equipment and a storage medium. The method comprises: obtaining a target suggestion dataset corresponding to a suggestion type problem insight task; performing vectorization clustering on the target suggestion dataset to obtain a target suggestion clustering result corresponding to the target suggestion dataset; using a target large model to summarize the same type of target suggestion data in the target suggestion dataset based on the target suggestion clustering result, to obtain target summary description data corresponding to each suggestion category in the target suggestion dataset. In the clustering insight scene of the suggestion type problem, through the vectorization clustering and large model summarizing manner, not only the artificial cost required for the suggestion data clustering and summarizing can be saved, and the efficiency of the suggestion type problem sorting can be improved, but also the same type of suggestion data can be expressed and summarized according to the suggestion clustering result, so that the user can efficiently and intuitively understand the key points of each suggestion category in the suggestion clustering result.

The application provides a competition program generation method based on blackboard-driven search and agent cooperation, and belongs to the technical field of software engineering and intelligent code generation. The method comprises the following steps: S1, obtaining a competition topic and completing problem modeling, initializing a shared blackboard and a search tree root node, and writing in constraint and boundary points; S2, generating multiple competition strategies and scoring to form strategy priori, and writing back to the blackboard for guiding subsequent search; S3, taking a candidate code + blackboard context as a state, taking generation / evaluation / repair as an action, and using the iterative search of the Monte Carlo tree search to score back; S4, dynamically cooperating to execute generation, testing and repair according to blackboard information, continuously writing back evidence and outputting the optimal candidate result. The method can realize multi-agent cooperation and knowledge reuse under global search constraints, thereby improving the correctness and stability of the competition program generation.

The invention discloses a power network device-oriented distributed heterogeneous memory shared data synchronization method and system, a medium and a processor, and relates to the technical field of power network data processing. The invention aims to solve the problems of poor adaptability, high synchronization delay, high resource overhead and the like in the prior art. According to the technical scheme, the method is characterized by comprising the following steps: constructing an annular logic topology of power network device nodes, initializing a shared memory pool, and establishing RDMA communication connection to realize zero-copy transmission; classifying the power grid data in a layered manner according to timeliness and importance, and storing the data based on a differentiated replication strategy to realize synchronization; and dynamically adjusting the data consistency level through a Paxos variation algorithm in combination with network state parameters, a data layering result and a topological structure. According to the invention, the data synchronization delay can be reduced to 0.8-3.2 ms, the reliability and resource overhead are balanced, the power network isomerism and key business requirements are adapted, and the stable operation of the intelligent power grid is ensured.

1. The name of the design product: recommended search area of information search graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the partial graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used for information search. The partial graphical user interface claimed in the design is used to display recommended search terms. 7. The human-computer interaction mode of the graphical user interface: in response to the user touching or clicking the collapse button in the design 1 front view, the graphical user interface changes from the design 1 front view to the design 1 change state view to collapse the description of the recommended search terms. In design 2 and design 3, the user can view the search results of a recommended search term by touching or clicking the recommended search term in the graphical user interface. 8. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view of design 1 to design 3 does not constitute the part claimed in the design.

The invention discloses a dynamic data statistical system adopting multi-dimensional data annotation, and relates to the technical field of data statistics, the dynamic data statistical system comprises a data acquisition module, a data annotation module, a data storage and management module, a data analysis model and a data statistical module which run in sequence, the data acquisition module is used for acquiring dynamic data of a website; the technical key points are as follows: assigning dynamic data subjected to label extraction, and generating an activeness evaluation value Aev of a corresponding plate according to an assigned data set, so that the complexity of data processing can be reduced to improve the calculation effect, data units can be automatically unified, the preprocessing operation on the data set is avoided, and the data processing efficiency is improved. In order to ensure effectiveness and accuracy of follow-up evaluation on the activeness of each plate, an activeness stability coefficient Asct is generated according to an activeness evaluation value Aev in a preset time period T, then direct observation is performed in a chart form, and the effect of data statistical work is reflected.

The embodiment of the invention provides a retrieval system evaluation method, device and equipment. The scheme comprises the following steps: firstly, acquiring reply information generated by a plurality of reference large models for question information; then, a first large model is adopted to determine a reply key point list for the question information based on the reply information, and the reply key point list comprises key point information and key point answers for the key point information; in addition, a recall result obtained by retrieving the question information by the retrieval system is obtained; and then, an evaluation result for the recall result is generated by referring to the reply key point list by adopting a second large model, and the evaluation result represents the coverage degree of the recall result to the reply key point list.

1. Name of the product in this design: Economic Data Query Machine. 2. Purpose of this design: A query machine for querying economic data information. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. The name of the present design product: AI product recommendation module of search result page graphical user interface of electronic equipment. 2. The use of the present design product: the present design product is used for an electronic equipment. 3. The design points of the present design product: the part of the graphical user interface requested for protection. 4. The picture or photo that best indicates the design points: design 1 change state diagram 4. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: overall use: search result page interaction, partial use: the function of AI conversation product recommendation and its interaction through user operation change. 7. Other cases need to be explained: The appearance design protects the AI product recommendation module; Design 1: The main view of design 1 is a search result page display interface. An AI product recommendation module is displayed below the search box. Clicking the module enters a conversation page, as shown in design 1 change state diagram 1. AI conversation operation is performed by inputting text through the bottom input box of the interface, as shown in design 1 change state diagram 2. After AI accepts the information, it starts thinking, as shown in design 1 change state diagram 3. Then, it feeds back specific product introductions and related pictures, as shown in design 1 change state diagram 4. Clicking the picture displays the video title from which the picture is derived and the appearance time in the corresponding video, as shown in design 1 change state diagram 5. Clicking the video title jumps to the corresponding playback page; Design 2: The main view of design 2 is a search result page display interface. An AI product recommendation module is displayed below the search box. Clicking the module enters a conversation page, as shown in design 2 change state diagram 1. AI conversation operation is performed by inputting text through the bottom input box of the interface, as shown in design 2 change state diagram 2. After AI accepts the information, it starts thinking, as shown in design 2 change state diagram 3. Then, it feeds back specific product-related comments, as shown in design 2 change state diagram 4. Clicking the comment displays the video title from which the comment is derived and the corresponding comment area shortcut jump control, as shown in design 2 change state diagram 5. Clicking the shortcut jump control jumps to the corresponding video comment area; Design 3: The main view of design 3 is a search result page display interface. An AI product recommendation module is displayed below the search box. Clicking the module enters a conversation page, as shown in design 3 change state diagram 1. AI conversation operation is performed by inputting text through the bottom input box of the interface, as shown in design 3 change state diagram 2. After AI accepts the information, it starts thinking, as shown in design 3 change state diagram 3. Then, it feeds back specific product-related video summaries and key video frames in the video, as shown in design 3 change state diagram 4. Clicking the video frame displays the video title from which the video frame is derived and the appearance time in the corresponding video, as shown in design 3 change state diagram 5. Clicking the video title jumps to the corresponding playback page; Design 4: The main view of design 4 is a search result page display interface. An AI product recommendation module is displayed below the search box. Clicking the module enters a conversation page, as shown in design 4 change state diagram 1. AI conversation operation is performed by inputting text through the bottom input box of the interface, as shown in design 4 change state diagram 2. After AI accepts the information, it starts thinking, as shown in design 4 change state diagram 3. Then, it feeds back specific product-related video summaries and video links, as shown in design 4 change state diagram 4. Clicking the video link jumps to the corresponding playback page.The use state reference figure is an effect diagram of displaying the user interaction interface, the design 1 main view, the change state diagram 1-5 respectively correspond to the design 1 use state reference figure 1-6, the design 2 main view, the change state diagram 1-5 respectively correspond to the design 2 use state reference figure 1-6, the design 3 main view, the change state diagram 1-5 respectively correspond to the design 3 use state reference figure 1-6, and the design 4 main view, the change state diagram 1-4 respectively correspond to the design 4 use state reference figure 1-5.

A system and method for selection and explanation of solutions is provided. A hierarchy of aggregation factors is maintained for evaluating at least a partial solution. Competing solutions are generated and each solution includes at least a partial solution. Scores are calculated for each of the aggregation factors for each competing solution. A total evaluation score is calculated for each competing solution based on the scores for at least one of the aggregation factors. The competing solution with the best evaluation score is selected and a gist is generated. The gist is a narrative comparing the selected solution with the non-selected solutions based on the at least one aggregation factor. The gist is provided to a user as a rationale for selection of the solution.

The invention discloses a power load collaborative prediction method for multi-source data processing, and relates to the technical field of power, and the key points of the technical scheme comprise the following steps: obtaining power load associated data in real time through an acquisition terminal; performing standardized matching on timestamps and spatial position information in the power load associated data to form a standardized data set; time sequence change characteristics of the standardized data set are extracted, time sequence stability and causal relationship strength are judged according to the time sequence change characteristics, and a prediction environment is divided into a stable load prediction scene and a dynamic load prediction scene through the time sequence stability and the causal relationship strength; the scene feature adaptation index is generated based on the feature difference between the stable load prediction scene and the dynamic load prediction scene, so that load fluctuation and multi-source data mutation can be quickly coped with, the accuracy of power load prediction is greatly improved, and a more reliable decision basis is provided for power grid dispatching and power resource allocation.

The invention provides a multi-source information fusion-based key point extraction method for medical and invasive resources, and belongs to the technical field of key point extraction of medical and invasive resources. On the basis of multi-source heterogeneous data acquired by multiple parties, an original medical and invasive resource database is constructed, and medical and invasive resource statements are sorted according to an execution sequence of database operation statements to support efficient sorting and rapid screening analysis of data in the database by a user, so that the efficiency of subsequent data processing and information extraction is improved, and the user experience is improved. Core information is subjected to cross validation and complementary enhancement, structured integration of medical and invasive resources is realized, general rules, consensus cognition and core challenges in the field can be summarized on the basis of a constructed medical and invasive resource fusion model, and advantages and disadvantages of the medical and invasive resources in a database are deeply mined, so that a medical and invasive resource fusion model is established. The accuracy, adaptability and practicability of key point extraction of the medical and invasive resources under the background of multi-source information fusion are remarkably improved.