41 results about "Infosphere" patented technology

The embodiment of the invention relates to the field of large language models and multi-agents, and provides a multi-agent collaborative query response method based on a state dependency graph and a related device, and the method comprises the following steps: receiving a to-be-queried text input by a user; performing query semantic analysis on the to-be-queried text to obtain the analyzed to-be-queried text and query complexity; instructing the intention recognition agent to generate a domain index; calling a preference matching agent to generate preference information; calling a resource retrieval agent to query to obtain query use resource information corresponding to the to-be-queried text according to the query complexity; the query response information is generated at least according to the historical context of the to-be-queried text, the to-be-queried text, the analyzed to-be-queried text, the field structure information, the field index, the preference information and the query use resource information, and the personalized service corresponding to the to-be-queried text currently input by the user can be automatically adapted according to the actual interaction scene; and response type and high-efficiency intelligent assistance is realized.

The invention relates to the field of environment information, and discloses a physical environment lightweight data acquisition method, which automatically triggers physical environment data acquisition by setting a preset time interval and delay response time, detects an abnormal condition during acquisition, and monitors the change of a data stream during data acquisition in real time, so as to realize the lightweight data acquisition of a physical environment. According to the method, the deviation degree of data acquisition is preliminarily analyzed to detect whether acquisition errors and gene error detection results exist in data acquisition or not, abnormal values of physical environment data are detected and fed back, then the data are subjected to lightweight processing, and the data transmission process of the physical environment data subjected to lightweight processing is analyzed, so that the data transmission accuracy is improved. The data transmission process is monitored and optimized in real time, storage of physical environment data is optimized based on a result obtained after data transmission optimization, data acquisition faults can be quickly responded and eliminated, various parameters of the physical environment can be quickly and accurately acquired, the data transmission and storage process is optimized, and the data maintenance cost is reduced.

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.

The invention relates to a keyword-based information extraction method and system, and relates to the field of information extraction, and the method comprises the following steps: receiving an information text; extracting keywords from the information text based on a preset extraction algorithm; determining an information field to which the information text belongs based on the keyword; obtaining a context category and a context association relationship of the keyword based on a preset algorithm; based on the context category and the context association relationship, filling the keyword into a preset blank context module to obtain a keyword context module; and performing scene simulation on the keyword context module to obtain key contents conforming to an actual scene, and outputting the key contents. The method has the advantages that deep semantic association is effectively captured by constructing the keyword context association network and combining semantic connection strength and statistical characteristics, and deviation caused by semantic deficiency in traditional weight analysis is avoided.

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 digital refocusing method applied to a microscope, which belongs to a computer vision technology in the field of information, and is technically characterized in that aiming at an out-of-focus image which is not in a focusing range, registration of a focusing out-of-focus image pair can be utilized. Further, inputting into a u-net network based on deep learning for virtual refocusing, taking a focused image as a label image for supervision, performing down-sampling feature extraction and up-sampling feature recovery and learning on the input out-of-focus image through a network layer, and performing loss function calculation and back propagation to optimize the network step by step, so as to obtain an out-of-focus image; therefore, the network can learn the mapping relation between the out-of-focus image and the in-focus image. The method has the advantages that under the condition that an existing system of the microscope is not changed, digital refocusing is carried out on an image with serious positive and negative defocusing, a focused image can be obtained only by using the neural network, and the refocused image and a real focused image have high numerical values in the aspects of SSIM and PSNR. In addition, the method has no special requirements on hardware environment conditions, and only part of data sets need to be acquired and processed in advance.

The invention relates to the field of medical information, and particularly discloses a medical image information management system based on a cloud platform, which is characterized in that when compatibility evaluation is carried out on a preselected medical institution, besides acquiring information of medical image acquisition equipment, a software version, an imaging protocol and image processing technical information are introduced; semantic coding is carried out on acquisition equipment information of target image information and acquisition information of various pre-selected medical institution images by adopting a semantic embedding coding technology based on deep learning so as to capture implicit relations and context information among data; and furthermore, semantic query matching coding is performed on target image acquisition equipment information and pre-selected medical institution image acquisition information, so that significant correlation characteristics between the target image acquisition equipment information and the pre-selected medical institution image acquisition information can be mined, and compatibility evaluation of the pre-selected medical institution can be realized. In this way, the accuracy of evaluating the compatibility degree of the pre-selected medical institutions can be improved, and the medical service quality and efficiency are further improved.

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 present application discloses a multi-level surface element cutting method and device based on graphic attributes and subordination relationships, which relates to the field of geographic information. The method includes: encoding graphic elements according to the subordination relationships of each layer; traversing all layers in a double loop, checking the spatial relationships of graphic elements between the high-level layer and the low-level layer with subordination relationships, constructing an overlaps hash table and an attribute change list, and obtaining a deletion element list from the overlaps hash table; traversing the overlaps hash table, screening the graphic elements of the low-level layer that overlap with multiple high-level layers, and obtaining a new element list; performing element deletion, element addition, and attribute inheritance operations on the layers. Through attribute inheritance and relationship maintenance, the present invention can ensure data relevance and integrity, while supporting multi-level synchronous update, significantly reducing manual intervention. Therefore, the surface element cutting method disclosed by the present invention has dynamic adaptability and can be applied to complex and high-frequency changing multi-layer management scenarios.

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 present invention belongs to the field of computer information for data recommendation, and provides a patent recommendation method based on user requirements combined with an inverted index table, including constructing an initial inverted index table for a patent dataset according to user requirements and adding a similar word mechanism to form a final inverted index table; the inverted index table includes: word number, word, and patent number list; numbering the patent information in the patent dataset to form a document list, and obtaining sentence vector representations for the patent information of each patent in the document list using the bert model; the document list includes: patent number, patent information, patent information sentence vector representation; dividing the user requirement information into precise requirements and broad requirements for dual-track recommendation. The present invention solves the problems in the prior art that due to the fact that patent recommendation involves patents in various fields and the quantity is huge, using patent information in a single field for recommendation results in poor recommendation effects and inaccurate patent recommendation.

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.

1. Name of the product of this design: Computer server. 2. Application of this design product: used in the field of computer information. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The present application discloses a data query method, device, and readable storage medium, relating to the field of electronic information. The data query method provided by the present application is applied to a source site, obtains a synchronization mark in a log shard from a target site, thereby obtaining a corresponding bucket, and sends the bucket name to the corresponding target site, thereby obtaining the quota of the corresponding bucket in synchronization at the target site and the quota of the corresponding bucket at the source site. Based on the ratio of the two, the corresponding synchronization progress can be obtained. The synchronization speed can also be obtained by contacting the cycle time. Compared with the previous data query only through software, since the synchronization progress and speed can be directly obtained, the problem of the inability to accurately query the data synchronization progress and speed between the source site and the destination site in the current data synchronization function is solved.

The present invention relates to the field of environmental information and discloses a lightweight data collection method for a physical environment. The method automatically triggers the collection of physical environment data by setting a preset time interval and a delayed response time, detects abnormal conditions during the collection, monitors the changes in the data flow during data collection in real time, preliminarily analyzes the degree of deviation in the data collection, and detects whether there is a collection error in the data collection. The error detection result is generated, and the abnormal values ​​of the physical environment data are detected and fed back. The data is then lightweight processed. The data transmission process of the lightweight processed physical environment data is analyzed to monitor and optimize the data transmission process in real time. Based on the results of the data transmission optimization, the storage of the physical environment data is optimized, which is conducive to quickly responding to and eliminating data collection failures, realizing fast and accurate collection of multiple parameters of the physical environment, optimizing the data transmission and storage process, and reducing the data maintenance cost.

The invention relates to the field of digital information, and provides a data processing method, device and equipment and a computer storage medium, the method comprises the following steps: determining target index data corresponding to index data according to associated data corresponding to preset index data in a relational database; searching index values in the relational database on the basis of the target index data, and determining the index data corresponding to the index values as the index values; storing the index numerical value and the corresponding index numerical value into a memory database; and under the condition that the index numerical value meets a preset condition, transmitting the index to a preset operation processing unit, and obtaining an operation result of the operation processing unit. The invention further relates to the field of intelligent finance, and data stored in the relational database and the memory database can be financial data.

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.