824 results about "Information data" patented technology

The invention provides an intelligent boxing method and system. The intelligent boxing method comprises the steps of obtaining boxing task information and generating a boxing scheme. The boxing task information comprises the size, the weight, the stacking limitation, the number and the priority of each cargo, and the size, the bearing capacity and the occupation state of each loading unit. And under the condition that the size, bearing and stacking constraint conditions are met, a plurality of candidate boxing combinations are generated, the loading utilization rate, the residual space distribution and the shape matching degree are evaluated based on a preset optimization target, and an optimal scheme is selected. The system comprises an input terminal, a task information receiving module, a data storage module, a task and scheme storage module, an operation processing module and a final boxing scheme generation module. According to the method, multi-dimensional constraint matching and weight balance are considered, and space waste and transportation risks are avoided; the maximum greedy algorithm and the adaptive large neighborhood search optimization are combined to realize the combination of automation and experience. The method can be expanded to batch task scheduling and grouping sequencing, so that the calculation complexity is reduced, and the overall boxing and transportation efficiency is improved.

The invention discloses a ship desulfurization system reliability evaluation method and system based on multi-source information fusion, and the method comprises the steps: collecting multi-source information data of a hybrid desulfurization system, and carrying out the self-adaptive preprocessing; generating a fusion feature vector; constructing a dynamic Bayesian network based on multi-source fusion features, performing real-time reasoning by adopting data-driven transition probability learning and particle filtering, describing transient behaviors of system state evolution and mode switching, and performing dynamic multi-state reliability modeling; a fault mode is automatically extracted, and data-driven systematic risks are identified and quantitatively analyzed; a multi-resolution digital twinborn architecture is constructed, dynamic simulation prediction is carried out, a self-adaptive updating mechanism is adopted to keep the model synchronous with a physical system, and a virtual verification environment for reliability evaluation is provided; according to the method, an intelligent decision optimization system is constructed, self-adaptive generation and dynamic adjustment of a maintenance strategy are realized, closed-loop feedback is carried out, and the accuracy of reliability evaluation of the hybrid desulfurization system is improved.

The invention discloses a multi-agent collaborative scheduling method and system oriented to science and technology intelligence analysis, and relates to the technical field of science and technology intelligence analysis, and the method comprises the steps that a task issuing layer outputs a standardized task description by executing task demand element analysis; after the intelligent coordinated scheduling layer receives the standardized task description, closed-loop collaborative decision making is carried out, and a task distribution instruction is output; and the professional agent execution layer drives the data acquisition agent group to acquire science and technology information data through a data access adapter of the data resource layer, executes a science and technology information analysis task, outputs a structured processing result, and visually displays the structured processing result to a user through the task release layer. The technical problem that in the prior art, a science and technology information processing system lacks intelligent task allocation, and consequently the information processing efficiency is low is solved, and the technical effects that four-layer architecture closed-loop cooperation of science and technology information analysis tasks and efficient dispatching of specialized intelligent agent groups are achieved, and the task allocation accuracy and the information processing efficiency are improved are achieved.

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

The invention relates to the technical field of artificial intelligence and data processing, in particular to a policy and enterprise intelligent matching method and system based on deep semantic understanding. The method comprises the following steps: acquiring multi-source policy information data and enterprise information; generating an enterprise multi-dimensional portrait according to the enterprise information; performing first matching and second matching on the multi-source policy information data and the enterprise multi-dimensional portrait respectively; and constructing a comprehensive matching model, and based on the first matching result and the second matching result, using the comprehensive matching model to complete policy and enterprise intelligent matching. According to the policy and enterprise matching method, the problems of low efficiency, inaccurate matching and important information omission in a traditional policy and enterprise matching method are solved through matching policies and enterprise portraits. Through automatic data collection, preprocessing and matching calculation, manual intervention is greatly reduced, the policy and enterprise matching efficiency is improved, and an enterprise can quickly find a policy suitable for the enterprise.

According to the multi-source information fusion robot positioning method and system for the unstructured environment provided by the invention, fusion processing is carried out on multi-source information data such as laser point cloud, environment image information and acceleration which are acquired in real time, so that the multi-source information fusion robot positioning method and system for the unstructured environment can be realized in a severe weather state and a dynamic unstructured environment. Carrying out high-robustness real-time positioning under the condition of violent illumination change; in a geometrically degraded roadway area, registration positioning of laser point cloud emission fails due to lack of enough external characteristics, and at the moment, the visual positioning module can still work normally and complete robot repositioning by detecting matched image information; in an environment lacking enough illumination, the laser point cloud and acceleration information can still provide enough positioning fusion data input for the computing unit.

The invention discloses a fused salt heat storage and Carnot cell combined coal-fired unit peak-load regulation operation method, device and equipment, a medium and a product, and relates to the field of unit peak-load regulation operation. Acquiring information data; based on a power regulation demand prediction model, performing peak regulation demand prediction according to the information data to obtain a prediction result; the power regulation demand prediction model is obtained by adopting a multi-objective optimization model and performing time sequence analysis on a long-short-term memory network model; determining an energy scheduling strategy based on the prediction result; the energy scheduling strategy comprises a heat storage power coordination instruction and a heat release power coordination instruction; and according to the energy scheduling strategy, operation adjustment is conducted on the coal-fired unit, the fused salt heat storage subsystem and the Carnot battery subsystem based on the control system. The invention aims to improve the peak regulation performance of the coal-fired unit.

The invention provides a regional wind field multi-source heterogeneous work order data fast structuring system fused with a large language model, which comprises a plurality of modules, and is characterized in that a data input module receives various work order images; the OCR layout recognition module comprehensively recognizes the data, extracts key information, determines a spatial position and outputs text fragments with coordinates and layout anchor point information, and the rule field extraction module recognizes format category fields from the text fragments and calculates rule matching confidence; the semantic field recognition module recognizes descriptive fields from unstructured content and outputs related confidence information, the fusion decision module calculates final confidence of field candidates according to a predetermined function and judges output or complementation according to a threshold value, and the data consistency verification module is connected with an asset database to verify key information. The data complementation module generates complementation candidates and confidence coefficients, the man-machine collaborative closed-loop module pushes suggestions and receives feedback, and the result output module outputs standardized data. According to the method, the multi-source heterogeneous work order data can be effectively processed.

The invention relates to the technical field of natural language processing, and discloses a diagnosis and treatment quality evaluation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring multi-source information data of a target patient in a treatment process; wherein the multi-source information data comprises target dialogue data and associated diagnosis and treatment data; performing reconstruction based on the multi-source information data to obtain an actual diagnosis and treatment thinking chain; wherein the actual diagnosis and treatment thinking chain is used for representing a diagnosis and treatment reasoning process when a doctor inquires a target patient; performing comparative analysis based on the actual diagnosis and treatment thinking chain to generate a diagnosis and treatment quality evaluation result for the target patient; wherein the diagnosis and treatment quality evaluation result is used for performing comprehensive quality control on the reasonability of the medical treatment process. By acquiring the multi-source information data containing the target dialogue data and the associated diagnosis and treatment data, the defect of single source of traditional quality control data is made up, and finally reasonable and comprehensive quality control can be performed on the whole diagnosis and treatment process.

The embodiment of the invention provides an address data matching method and related equipment, and belongs to the technical field of geographic information services. The method comprises the following steps: constructing an address annotation corpus according to input address information data and a preset address database; the method comprises the following steps: generating a geographic information embedding vector according to a preset geographic information knowledge graph, performing address element analysis in combination with an address annotation corpus to obtain an address element sequence so as to construct a dictionary tree, and performing similarity screening through a spatial hierarchical matching algorithm to obtain a similar address set; generating an address embedding vector matrix through a preset word embedding vector model, and performing feature extraction through a preset semantic feature extraction model to obtain semantic-level similar features; according to input address information data, multi-dimensional character similarity matching is carried out to obtain character-level similar features, then weighted fusion is carried out in combination with semantic-level similar features, and target matching address data is determined according to a weighted fusion result. According to the embodiment of the invention, the address data matching accuracy and efficiency can be improved.

The invention discloses a data security risk analysis method and device, equipment and a storage medium, and the method comprises the steps: obtaining data access behavior information of a business system, the data access behavior information comprising business attributes; establishing a dynamic detection rule set based on the service attributes, wherein the dynamic detection rule set comprises risk judgment thresholds associated with the service attributes; constructing a service behavior baseline model associated with the service attributes according to the user historical behavior data; and performing association analysis on the data access behavior information, the dynamic detection rule set and the business behavior baseline model to obtain risk early warning information. According to the invention, the business behavior baseline model associated with the business attribute is constructed according to the historical behavior data of the user; the data access behavior information, the dynamic detection rule set and the business behavior baseline model are subjected to correlation analysis, the risk early warning information is obtained, compared with the prior art, the accuracy of data security risk detection is improved, and then the risk early warning false alarm rate is reduced.

The invention relates to a security data isolation and information exchange method and system based on a lightweight protocol, belongs to the technical field of industrial automation control system security, and solves the technical problems of low transmission efficiency, high analysis overhead, high security risk and high resource consumption of an existing method. Comprising the following steps: collecting and preprocessing original plaintext data at an industrial control network side; an external unit identifier, a timestamp and a pre-shared key on the industrial control network side are used as encryption factors, lightweight stream cipher encryption and packaging are carried out on the preprocessed data, and a lightweight protocol data packet is generated; through a special physical isolation device, the light-weight protocol data packet subjected to deep detection is unidirectionally isolated and ferried from an industrial control network side to an internal network side; performing post-processing on the received lightweight protocol data packet at the intranet side to restore original data; and delivering the restored original plaintext data to an intranet service application. And safe and efficient information data exchange is realized.

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 discloses a perception driving grouting self-adaptive control method and system for a complex stratum, and relates to the technical field of grouting control, and the method comprises the following steps: constructing a three-dimensional grouting response model to simulate the diffusion process of grout; collecting multi-source information data, and inputting the processed multi-source information data into the trained grouting parameter prediction model to obtain a grouting parameter prediction result; grouting is conducted on the to-be-grouted area according to the grouting parameter prediction result, grouting parameters are monitored in real time in the grouting process, and the grouting parameters are compared with the predicted grouting parameter prediction result so as to adjust the subsequent grouting process; inputting data acquired in the whole grouting process into an evolution modeling module, and performing data modeling and three-dimensional reconstruction in the grouting process to obtain a visual whole grouting process; the self-adaptive control of the grouting process is realized by utilizing the sensing data obtained by cooperating the grouting simulation model and the grouting prediction model with the stratum sensing node.

The invention relates to the technical field of fault detection, and discloses a big data-based machine room equipment fault diagnosis method and system, and the method comprises the steps: collecting load information data streams generated by all equipment in a machine room in real time, and carrying out the filtering, and obtaining a filtered information sequence; performing grouping processing on the filtered information sequence by using a K-means clustering algorithm to obtain a dynamic change mode group, calculating a key statistical index, and obtaining an abnormal feature set; if the abnormal feature set exceeds a preset variance threshold, classifying the abnormal feature set and determining a fault mode to obtain a fault mode category set; matching the fault mode category set with a preset fault mode database to obtain a fault mode matching result, and generating a corresponding risk assessment report to obtain a risk assessment report; and adjusting the operation parameters of the machine room equipment to obtain the equipment operation parameters. According to the method, equipment faults can be diagnosed in time.

The invention relates to the technical field of power supply state detection, in particular to an integrated power supply system state detection method based on multi-modal information fusion, and the method comprises the steps: collecting the electrical, physical, environmental and vibration modal information data of an integrated power supply system; constructing an initial feature sample; obtaining a screening sample; screening the key feature indexes to construct state vectors of the screened samples; and inputting the labels and the state vectors of all the screened samples into a support vector machine for training to obtain an integrated power supply system state detection model. The invention aims to improve the training efficiency, generalization capability and anti-interference capability of the SVM state detection model of the integrated power supply system.

The invention discloses a repayment plan generation method and device, electronic equipment and a storage medium, and relates to the data processing technology, and the method comprises the steps that a data collection layer obtains user data and public information data of a target user; a calculation engine layer calculates cash flow pressure, total interest expenditure and expansion hedging income according to the user data and the public information data acquired by the data acquisition layer; performing iterative optimization on parameters of a calculation engine layer based on a multi-objective optimization algorithm according to the total interest expenditure, the cash flow pressure and the expansion hedging income until a non-inferior solution set is obtained; and the decision output layer generates repayment suggestions according to the non-inferior solution set output by the calculation engine layer. According to the invention, a repayment mode in which the total interest expenditure is minimum, the cash flow pressure is adaptive to the target user and the unexpanded hedging income is maximum can be obtained, and the reliability and timeliness of a repayment plan of a borrower are improved. Therefore, money can be saved for borrowers, and the sustainability of subsequent repayment can be ensured.

The application discloses an anti-counterfeiting method of an anti-counterfeiting label based on a blockchain, and comprises the following steps: deploying a blockchain platform according to a blockchain framework; writing supervision information provided by a third-party supervision organization into a first sub-block in the blockchain platform; collecting product information by a data acquisition device and generating a second sub-block, and uploading and storing the second sub-block into the blockchain platform; determining the correlation between the first sub-block and the second sub-block according to a preset smart contract in the blockchain platform; and querying an anti-counterfeiting label corresponding to a product to obtain supervision information corresponding to product information. The supervision information and the product information are written into blocks by different terminals or nodes, and the information can be conveniently written and stored. In addition, different blocks store different information, and interference between the information data can be avoided, and the data integrity is ensured.

The invention discloses a robot polishing process regulation and control method based on deep learning, and relates to the technical field of workpiece machining. The regulation and control method comprises the steps that S01, the to-be-polished surface of a workpiece is divided into a plurality of areas, attribute division is conducted on the areas, the areas with the same attribute are divided into the same group, and a plurality of area groups are obtained; s02, establishing a corresponding surface parameter standard range for the same group of areas; by introducing the deep learning-based look-ahead prediction method, the change trend of multi-dimensional information data in the polishing process can be analyzed in real time, physical roots (such as polishing tool abrasion and temperature accumulation) are diagnosed in advance based on the associated network diagram, a prediction adjustment instruction is generated, active compensation optimization of a subsequent polishing program is achieved, and the polishing efficiency is improved. The lagging of post adjustment is effectively overcome, the efficiency and quality consistency of grinding operation are remarkably guaranteed, and meanwhile time waste caused by re-grinding is reduced.

The invention discloses a sensitive data identification method, system and device based on rule matching and LLM deep semantic analysis, a medium and a product, and relates to the field of artificial intelligence, the method comprises the following steps: preprocessing data in an information data set; the information data set comprises multi-industry corpora, personal information and safety knowledge; the multi-industry corpora cover structured data format features and unstructured text semantic scenes; according to the preprocessed data, a LoRA technology is adopted to carry out field adaptation fine tuning on the large language model; the large language model comprises a rule matching layer and an LLM depth recognition layer; the rule matching layer screens and identifies the structured data; the LLM depth recognition layer recognizes unstructured data and implicit sensitive data; performing semantic recognition on the to-be-tested data according to the fine-tuned large language model, and outputting sensitive data; the sensitive data comprises information such as an identity card number, a home address and a mobile phone number, and the sensitive data can be accurately recognized.

The invention relates to the technical field of intelligent ship driving, and discloses an intelligent ship driving assistance system based on multi-source information fusion and AI decision, which comprises a multi-source information acquisition module, an information data processing module, an information fusion processing module, an AI decision calculation module and a man-machine interaction module, according to the ship intelligent driving assistance system based on multi-source information fusion and AI decision making, perception blind areas of scenes with low visibility and the like are eliminated through a multi-source information collection and vision enhancement technology, and a target is accurately recognized; through data processing and three-level fusion, multi-source information is efficiently integrated, and the manual analysis pressure is reduced; the AI decision calculation module provides accurate guarantee for berthing, stranding, collision avoidance and other scenes, and accident risks are reduced; the system can also optimize the route and speed in combination with data such as weather, reduce energy consumption, shorten the navigation time, take into account the safety and economy of ship driving, and greatly improve the intelligent level of shipping.

The invention provides an intelligent building operation and maintenance management and control platform based on digital twinning, and relates to the technical field of intelligent buildings. A data preprocessing module; a digital twinborn model construction module; a simulation test space construction module; an instruction execution and evaluation module; a synchronous execution module; an information guarantee module; according to the invention, equipment operation parameters, environment data and historical fault information data in a building are collected, data transmission and protocol conversion are carried out through a standardized communication protocol, a simulation test space for evaluating the safety of a function module is constructed, and a fault knowledge graph is generated based on historical fault information; building equipment fault modes, energy consumption rules and space use efficiency are analyzed and excavated based on a fault knowledge spectrogram, and data fusion, intelligent analysis and closed-loop control are realized by constructing virtual mapping of a physical building through a digital twinning technology, so that a traditional operation and maintenance pain point is broken.

The invention discloses a plane target contour reconstruction method and device suitable for geographic information data processing, which are used for recovering the contour shape of a target geographic element from a disordered discrete point set, and comprises the following steps: obtaining a plane discrete point set representing the target geographic element, the plane discrete point set being disordered coordinate data; the plane discrete point set is processed, the plane discrete point set is structured into a group of line segment sets representing local contour features of the plane discrete point set through iterative splitting and merging operation based on an elliptic model, and the splitting and merging operation is controlled by a linearity threshold value and a disconnected connectivity threshold value which are generated in a self-adaptive mode; processing the line segment set, and integrating the line segment set into closed polygon contour data representing the target geographic element by establishing a spatial index for end points of the line segment set and executing nearest neighbor connection; and outputting closed polygon contour data. According to the method and the device, the accuracy and the automation degree of contour reconstruction and the robustness of an algorithm are improved.

The invention relates to the technical field of document recording, in particular to a legal document generation method and system based on multi-source information data. The method comprises the following steps: scanning an original handwritten manuscript to obtain handwritten note data, collecting voice record data, sorting the handwritten note data and the voice record data into multi-source information with matched content through preset semantic matching, recognizing voice semantic information in a voice record, converting the voice semantic information into voice note reference data, and sending the voice note reference data to a server; the method comprises the following steps of: acquiring handwritten note data, demolishing semantics in the handwritten note data, positioning a voice reference paragraph corresponding to a defect complemented text in voice reference data according to multi-source information of a content relationship, assisting in complementing and optimizing the defect document text by utilizing voice reference missing, and generating a final complemented document text. According to the method and the device, a more efficient document completion process is realized, and the document generation quality is improved.

The invention discloses a standard metadata storage method and a machine readable storage medium, and the method comprises the steps: collecting operation data and associated data of a preset coal chemical industry, and carrying out the preprocessing of the equipment data and the associated data; performing multi-modal semantic information extraction on the associated data to obtain information data, performing structured processing on the information data and the operation data to obtain structural data, and constructing a process mapping table according to business terms and the process parameters; the information data comprises incremental information and general information; constructing a coal chemical engineering topological structure knowledge graph according to the structure data and the process mapping table based on a chemical engineering association type, and performing time sequence coding on the coal chemical engineering topological structure knowledge graph according to a time window and a process unit to obtain a dynamic code; and constructing a coal chemical industry standard metadata storage model according to the dynamic codes, inputting to-be-stored data into the coal chemical industry standard metadata storage model, and outputting a storage result.

The invention discloses a method for evaluating and controlling response of a shield to approaching tunneling superimposed disturbance, and relates to the technical field of shield tunnel construction, the method comprises the following steps: constructing a multi-dimensional information database of stratum conditions of a docking area; the multi-dimensional information database comprises butt-joint section stratum parameters, shield tunneling parameters and butt-joint space-time parameters and is used for extracting preceding shield mechanical behavior characteristics and following shield mechanical behavior characteristics; based on the multi-dimensional information database, analyzing the resistance of the preceding shield structure, and determining the additional load borne by the preceding shield according to the additional load generated by tunneling of the following shield and the initial stress field around the preceding shield; and establishing a response evaluation system of a load-resistance ratio according to the resistance of the preceding shield structure and the additional load borne by the preceding shield to judge a disturbance level, and adopting a micro-disturbance control measure according to a disturbance level judgment result. According to the method, the risks of advanced shield displacement overrun and tunnel instability caused by complex evolution of an additional stress field can be solved.

The invention relates to an APP personal information data circulation compliance and data risk detection method. The method comprises the steps that a first-party privacy policy is acquired and analyzed to generate a third-party sharing list; extracting an entity relationship sequence by using the trained NLP model after crawling a third-party policy full text; constructing a personal information circulation knowledge graph according to the third-party shared list, comparing the entity relationship sequence with a compliance rule base through a graph matching algorithm to generate a compliance result, and labeling the compliance result to the graph; finally, a privacy threat report is generated based on graph reverse derivation analysis, and the risk of an operator is comprehensively evaluated. According to the method, automatic compliance and risk detection of mobile application data circulation full links can be realized, and the limitation that only a single application policy can be analyzed in the prior art is effectively overcome.

The invention discloses an image transmission system for visual communication display, and relates to the technical field of data management.The image transmission system collects and manages multi-dimensional information data of all credit enterprises through a data management unit, and a behavior analysis unit analyzes behaviors of authorized users; the data management unit generates a reading strategy of each dimension, and the enterprise portrait unit generates portrait analysis of each credit enterprise based on different dimensions. In the process of comparing and generating the reading strategy of each dimension, a plurality of character data are intercepted from the dimension data table corresponding to the dimension with relatively high click frequency and relatively large data capacity; according to the method, the high-frequency access data is stored in the independent table to generate the derivative data table of the corresponding dimension, in this way, the database cache can be more effectively utilized, and more common data can be ensured to be reserved in the cache by separating the high-frequency data, so that the performance is improved, the contention for a large table can be reduced, and the possibility of lock contention is reduced.

The invention relates to a space-time alignment and semantic association modeling method for cross-platform geographic information data, and belongs to the field of big data and natural language processing. The method comprises the following steps: step 1, carrying out space-time uncertainty modeling and probabilistic representation, and quantifying time and space uncertainty of multi-source data; 2, combining an alignment decision mechanism with adaptive learning to complete multi-evidence intelligent flexible alignment fusion; step 3, carrying out deep semantic analysis and real-time association discovery based on multi-modal semantic understanding and association mining; and 4, dynamically updating and reasoning the knowledge graph, and performing real-time analysis and real-time reasoning. According to the method, for a sudden search task, a new data source can be rapidly integrated, the knowledge graph is enriched, global situation visual control is achieved, multilevel reasoning based on the knowledge graph is achieved, efficient and accurate geographic information data intelligence is supported, and the task response efficiency is improved.

The invention discloses an internet information intelligent monitoring method and system, a medium and a product, and relates to the technical field of data processing. The method comprises the following steps: firstly, acquiring internet information data containing text, image and audio contents, extracting features of the three contents respectively, and constructing a semantic map; calculating semantic similarity among different map nodes, and establishing a cross-modal mapping relation to form a mapping set; node attribute characteristics are extracted for the mapping relation to calculate consistency, and mapping lower than a threshold value is marked as a conflict relation; counting the conflict node proportion of each map to obtain a modal conflict degree, calculating the similarity with the reference map to obtain a modal matching degree, and calculating the modal credibility according to the modal matching degree; normalizing the modal credibility to obtain a weight coefficient, and performing weighted fusion on the map structure features to obtain a fusion feature vector; and finally, matching the fusion feature vector with a monitoring rule base to obtain a monitoring result. By implementing the technical scheme provided by the invention, the monitoring accuracy of Internet information can be improved.