25 results about "Infosphere" patented technology

The invention relates to an information processing method and device, equipment, a storage medium and a product, and the information processing method comprises the steps: receiving input multi-source knowledge information which comprises knowledge information from at least two information sources; under the condition that the multi-source knowledge information contains a conflict information group, based on an information field to which the knowledge information in the conflict information group belongs, performing conflict resolution processing on the knowledge information in the conflict information group to obtain target knowledge information; different information fields correspond to different conflict resolution modes; the conflict information group comprises a plurality of pieces of knowledge information with different information sources and information conflicts; and outputting the target knowledge information for the large model to call and perform question and answer reply. Through the method, the limitation of a traditional single rule in processing multi-source heterogeneous knowledge is effectively overcome, and the processing accuracy of knowledge conflicts in different fields is remarkably improved.

The invention discloses a heterogeneous Internet of Things topology key node identification method in combination with a mutation theory, and belongs to the field of computers and information, and the method comprises the steps: firstly constructing an initial topology of a heterogeneous Internet of Things, generating a topology set through random disturbance, and calculating performance indexes such as robustness, redundancy, communication efficiency and a global clustering coefficient; then normalizing the indexes by using a mutation series method, evaluating the correlation between the indexes based on a Pearson's correlation coefficient, and obtaining a network performance mutation value through layer-by-layer fusion; simulating a deliberate attack process, establishing a corresponding relationship between a node deletion sequence and performance evolution, and fitting to obtain a performance evolution function; and finally, establishing a cuspidal point mutation model, and identifying critical nodes causing network performance mutation by analyzing the equilibrium state, the singular set and the bifurcation set of the model, thereby breaking through the limitation of traditional static network indexes, being capable of accurately capturing the mutation behavior of the network performance, being high in objectivity, and providing a theoretical basis for topological optimization and fault-tolerant design of the Internet of Things.

A method for generating domain knowledge tools for a Large Language Model (LLM) agent. The method receives a corpus of documents in multiple formats, converts and analyzes the corpus to generate a domain specific agent that creates and maintains domain knowledge tools that provide domain-specific contextually relevant information to the LLM agent. The domain knowledge tools enhance the LLM agent processing of user queries by supplying domain-specific information and context during the LLM agent generation of responses.

This application discloses a resource management method, apparatus, and readable storage medium, relating to the field of electronic information. Compared to previous solutions, the resource management method provided in this application pre-adapts the front-end page of the resource pool to the cloud management platform. When a user logs in on the cloud management platform, the corresponding resource pool's front-end page is opened, and the instructions from the front-end page are forwarded to the resource pool's management platform back-end. Compared to the previous method of directly retrieving data from the corresponding resource pool using the cloud management platform's back-end management module, this solution avoids data and system transformation because both the front-end and back-end are the resource pool's own front-end and back-end. The logic is simpler, and since the front-end and back-end are adapted, advanced functions are not lost, resulting in higher applicability.

The invention discloses a design method for improving software performance and software stability, which is characterized in that software core contents such as infrastructures, databases, networks, business programs and the like are layered on the basis of a'layer 'design thought, the software core contents comprise a base layer, a database layer and the like, and each layer performs own functions and does not influence each other. Distributing an organic sequence number for each layer, and starting a core service according to the sequence number sequence through a unified entrance; and the setting engine is responsible for receiving various requests and business processing, calling corresponding search methods according to request types, coordinating and managing various function calling of the interface, designing an ITpeFinder interface for class and program set operation, and designing an IRsStartup interface for service and application configuration and starting sequence definition. The method can be applied to software in the field of health information, ensures stable operation under the conditions of complex services and multiple participants, can also be popularized to all software fields, can effectively utilize limited resources, prevents the software from collapsing due to misoperation or special environments, and improves the performance and stability of the software.

The invention belongs to the technical field of information, and particularly relates to a method for learning specific industry knowledge in a large model pre-training stage. Comprising the following steps of 1, cleaning and processing industry data; 2, pre-training industry knowledge; and step 3, knowledge increment pre-training. The method has the beneficial effects that the knowledge expression of the constructed industry is about 4.6 T, and the effect score in a downstream system generation task is improved by about 10% when the method is compared with a standard NST learning method. The specific content is as follows: for pre-trained industry knowledge, about 4.6 T data is constructed through ocr, data cleaning, manual annotation and the like;

The invention belongs to the field of financial information, and relates to a data matching method and device. The data matching comprises the following steps: acquiring a business data set and a financial data set; performing entity identification and standardization processing on the business data set and the financial data set based on an entity identification model to obtain a business semantic sequence and a financial semantic sequence; performing vector coding on the business semantic sequence and the financial semantic sequence based on a language processing model to obtain a business vector matrix and a financial vector matrix; calculating a similarity matrix between the business vector matrix and the financial vector matrix, and generating a matching pair set according to the similarity matrix; judging whether the similarity of the matching pairs in the matching pair set is greater than or equal to a preset similarity threshold value or not; and if not, generating a matching data set according to the matching business data and the matching financial data corresponding to the matching pair. The business data and the financial data can be effectively matched to generate the corresponding matched data set, and the matching accuracy and efficiency are improved.

The application discloses a method, device and readable storage medium of a control node, and relates to the electronic information field. The method of the control node provided by the application is applied to a management node, information is sent to a controlled node according to a PReq extension message after the management node exits a cycle limit, and compared with a previous mode of sending and receiving feedback through two asynchronous stages, the technology adopted in the scheme does not need to disconnect the controlled node from the management node, and only by modifying the cycle and the transmission mode of data, online updating of the controlled node is realized, data is transmitted through a message mode, and then in the asynchronous stage, the management node does not need to perform configuration updating any more, and only needs to wait for the corresponding controlled node to perform updating, so that the working efficiency of the server is greatly improved, and the stability of the server operation is ensured.

This invention discloses an automatic layout method for circuit schematics, belonging to the field of electronic information, which improves the efficiency and accuracy of circuit schematic inversion engineering. The invention includes the following steps: First, it reads in netlist information and component library information and performs data conversion; then, it clusters all components based on their pin and connection information; next, it performs local layout for each sub-partition, mainly including directed graph transformation, logic swap column positioning, logic row positioning, and physical expansion positioning; finally, it outputs the placement coordinates and rotation angle of each component. This solves the problems of slow speed and high error rate in current manual circuit schematic inversion methods.

1. Name of the designed product: computer server. 2. Use of the designed product: used in computer information field. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

The application discloses an AI-based design construction three-dimensional consistency review and collaborative management system and relates to the field of building information.The AI-based design construction three-dimensional consistency review and collaborative management system realizes high-quality acquisition and reliable evaluation of on-site point cloud data through a data acquisition module and a geometric consistency preliminary evaluation module in application. By arranging control sampling points and combining the optimization strategy of point cloud quality data, the effectiveness and integrity of the point cloud data can be significantly improved. On this basis, the system uses 95th percentile directional Hausdorff deviation H95 to perform robust geometric analysis on the registered point cloud set and the three-dimensional drawing BIM model, avoids the distortion of the judgment caused by individual abnormal points, and realizes accurate identification of the overall geometric deviation. This way enables the preliminary evaluation stage to quickly find construction deviations, reduces the links of manual review and repeated collection, and thus improves the review efficiency and data reliability.

The invention discloses a knowledge classification method and device. The method comprises the following steps: acquiring a geographic information ontology conceptual model; processing the geographic information ontology conceptual model to obtain an ontology knowledge set; the ontology knowledge comprises N pieces of ontology knowledge information, and each piece of ontology knowledge information comprises an ontology knowledge title and ontology knowledge content; and processing the ontology knowledge set to obtain a knowledge classification result. According to the method, the ontology knowledge set is extracted and constructed from the geographic information ontology concept model, and the obtained ontology knowledge title and content naturally bear the core concept, attribute association and hierarchical logic of the geographic information field, so that the subsequent classification result is ensured to completely accord with the internal system of the geographic information knowledge; the problems of disordered classification logic and poor field adaptability caused by knowledge source mixing of a traditional classification method are solved.

The application discloses an information processing method, device and readable storage medium, and relates to the electronic information field. The information processing method provided by the application comprises the following steps: when receiving information, determining whether the management software is idle; if the management software is idle, sending the information to the management software for processing; if the management software is not idle, establishing an information queue, merging the information in the information queue, and sending the merged information to the management software for processing when the cluster management software is idle. Compared with the traditional information processing method, the application provides an information processing method for connecting multiple platforms by using distributed storage management software, reduces repeated requests and information reporting when connecting multiple platforms simultaneously, improves the operation efficiency of the management software, reduces the operation pressure of the management software, and reduces the redundancy of the management software.

The application discloses a Q network control method and device and a readable storage medium, and relates to the electronic information field. In the Q network control method provided by the application, a preset behavior is a behavior randomly selected in a behavior space A or an optimal behavior selected in the behavior space A by using a database operator. A plurality of experience samples are extracted from an experience pool, and corresponding expected benefits are calculated based on the database operator. Finally, the parameters and vector indexes of the Q network and the parameters and vector indexes of a target Q network are updated according to the expected benefits. The database operator is an operator realized based on an approximate nearest neighbor search technology. Compared with the previous training control method, the approximate nearest neighbor search technology is introduced in the scheme to obtain the database operator, so that the search range is greatly reduced. Compared with the previous DQN which traverses all the action spaces, the training and decision efficiency is increased, and the scheme can be applied to large-scale discrete behavior scenes.

The invention discloses an AI-based design and construction three-dimensional consistency rechecking and collaborative management system, and relates to the field of building information. According to the method, high-quality acquisition and reliable evaluation of field point cloud data are firstly realized through a data acquisition module and a geometric consistency preliminary evaluation module in application through an AI-based design and construction three-dimensional consistency rechecking and collaborative management system; by arranging a control sampling point set and combining an optimization strategy of the point cloud quality data, the effectiveness and integrity of the point cloud data can be remarkably improved. On the basis, the system performs robustness geometric analysis on a registered point cloud set and a three-dimensional drawing BIM model by using 95 quantile directional Hausdorff deviation H95, so that judgment distortion caused by individual abnormal points is avoided, and accurate identification of the overall geometric deviation is realized. In this way, the construction deviation can be quickly found in the initial evaluation stage, the links of manual re-checking and repeated collection are reduced, and therefore the re-checking efficiency and the data credibility are improved.

The application discloses a method for identifying key nodes of a heterogeneous Internet of Things (IoT) topology based on mutation theory, and belongs to the field of computers and information. First, an initial topology of the heterogeneous IoT is constructed, a topology set is generated by random disturbance, and performance indexes such as robustness, redundancy, communication efficiency and global clustering coefficient are calculated. Then, the indexes are normalized by using a mutation series method, the correlation between the indexes is evaluated based on a Pearson correlation coefficient, and a network performance mutation value is obtained by layer-by-layer fusion. Next, a deliberate attack process is simulated, a corresponding relationship between a node deletion sequence and performance evolution is established, and a performance evolution function is fitted. Finally, a cusp mutation model is established, critical nodes causing network performance mutation are identified by analyzing the equilibrium state, singular set and bifurcation set of the model, and the application breaks through the limitations of traditional static network indexes, can accurately capture the mutation behavior of network performance, is objective, and provides a theoretical basis for topology optimization and fault-tolerant design of the IoT.

Embodiments of the present application relate to the field of communication and information, and disclose a disaster recovery method, device, local site and storage medium. In the present application, the disaster recovery method comprises: if it is determined that the identity of the local site is a backup local site, detecting whether there is a target local site satisfying a preset condition; the preset condition comprises: the identity of the target local site is a main local site, and the target local site is assigned to the local site and has not established a disaster recovery relationship with the local site; if there is a target local site satisfying the preset condition, establishing a disaster recovery relationship with the target local site; and backing up data to be backed up in the target local site for the target local site. The flexibility of business expansion can be improved.

The invention discloses a method and system for converting a natural language into a knowledge graph query statement through AI, and the method comprises the steps: carrying out the standardization processing of a natural language query statement inputted by a user, and obtaining an optimized query statement; performing intention analysis on the optimized query statement through a routing agent to determine one or more information fields related to the optimized query statement, and determining at least one target field expert agent needing to be called from a plurality of field expert agents; wherein each domain expert agent is configured to process a query of a specific information domain; calling the at least one target domain expert agent to enable each called target domain expert agent to generate a corresponding query fragment based on the optimized query statement; performing constrained combination processing on all the generated query fragments to obtain executable query statements; and executing the executable query statement in a knowledge graph database, and obtaining a query result.

This invention provides a method and system for generating a unified knowledge graph from multimodal data sources using a collaborative multi-agent LLM. [Solution] A system presents a collaborative multi-agent knowledge graph search extension generation framework using multiple collaborative multi-agent LLMs to extract information from multiple multimodal documents and build a unified knowledge graph to facilitate query-based searching, wherein a query generation agent generates multiple queries to reveal all possible information present in multiple multimodal documents, a domain model generation agent generates domain models based on the multiple queries, a domain model populator agent populates domain models using data extracted from multiple multimodal documents, and a unified knowledge graph is constructed from the populated domain models, systematizing the extracted information.

The invention provides a mass network live broadcast batch data acquisition method and system, and belongs to the field of data processing and information. The method comprises the steps that a plurality of mobile terminal devices are managed and controlled in a centralized mode through a group control system module, and synchronous operation of multi-platform live broadcast APPs is achieved; an automatic acquisition module is constructed based on an Appium framework, real user interaction behaviors are simulated, and metadata of a live broadcast room is captured; the method comprises the following steps: constructing a distributed crawler engine by using a Scrapy-Redis framework, analyzing a live streaming media source address in real time, and performing block storage and format conversion on a live video stream; and carrying out video understanding and semantic analysis on the live broadcast content by adopting a multi-modal large model, identifying violation behaviors, and generating a violation analysis report. According to the method, the problems of low efficiency, narrow coverage and limited analysis capability of a traditional live broadcast supervision technology are solved, and the automation level and accuracy of large-scale live broadcast content supervision are remarkably improved.

The application provides a data processing method and device, computer equipment and a storage medium, applied to the information field, and the method comprises the steps of: acquiring an application calling topological graph corresponding to a target object, wherein the application calling topological graph comprises a calling relationship between a plurality of data nodes called when the target object is executed; encoding the data nodes in each calling level of the application calling topological graph respectively, and generating a string corresponding to each calling level; determining a target substring in the string corresponding to each calling level and branch data corresponding to the target substring in the application calling topological graph, wherein the target substring is used to represent a data node that is called in a loop and meets a preset condition in the calling level; and deleting the branch data in the application calling topological graph. The data processing method provided by the application determines the branch data called in a loop by encoding the data nodes, thereby trimming the branch data, so as to reduce the storage cost of the application calling topological graph.

The application discloses a request processing method, device and readable storage medium, and relates to the electronic information field.The request processing method provided by the application obtains URL parameters according to request instruction analysis, encapsulates the URL parameters into an XML request object, obtains the request address of the URL according to the URL parameters, and sends the XML request object to a server corresponding to the address of the URL, and receives the processing result after the server analyzes and processes the XML request object.In this scheme, the WEB page in the BMC is directly used to directly execute the Redfish URL instruction, and compared with the previous scheme, the BMC and the corresponding WEB page are not affected by the operation environment, and the corresponding instruction execution can be directly performed without installing other corresponding software, and compared with the previous execution of the corresponding task processing by installing the Postman software, the applicability is higher.

This invention relates to the emerging information field and provides a method and system for smart screen application orchestration based on a large language model. The method includes: inputting user-input natural language commands and a pre-built application capability description library into a large language model for intent understanding and task decomposition to obtain intent parsing results; inputting the intent parsing results and contextual information into the large language model for service matching and orchestration planning to obtain a large-screen orchestration scheme; using an interface generation engine, dynamically combining multiple cards and injecting parameters according to the large-screen orchestration scheme to obtain a personalized large-screen interface; collecting and analyzing user interaction behavior data based on the personalized large-screen interface to obtain behavior feedback results; and inputting the behavior feedback results into a user preference model for behavior pattern recognition to obtain recommended commands that trigger proactive large-screen generation. This invention solves the application isolation problem in smart screen systems and improves the intelligence level of smart screen systems.

The application relates to the field of mobile information, and provides an information recommendation method and device, electronic equipment and computer program product. The method comprises the following steps: determining a social relationship network of a current user, and determining initial grade values of relationship edges between initial nodes in the social relationship network; performing transition node setting on the social relationship network according to the initial grade values, so as to obtain a behavior relationship network; calculating social influence of each initial user in the behavior relationship network; determining a target user from the initial users based on the social influence, and performing information recommendation according to the target user. The application can improve the timeliness of recommended content, so that the recommended content can be accurately matched with the future behavior of the recommended user, and the accuracy of information recommendation is improved.