79 results about "Information consistency" patented technology

The invention discloses an intelligent interaction system based on a large language model and a knowledge graph, and relates to the technical field of artificial intelligence and intelligent interaction. According to the system, data processed by a data acquisition and preprocessing module is stored in a local knowledge warehouse in a three-layer nested structure; the multi-modal semantic understanding module constructs a knowledge system in which a triple knowledge graph and a vector database are complementary by optimizing a BERT model and performing dual-channel analysis; the intelligent interaction module realizes natural language interaction and business task automatic triggering based on an RAG technology and a dialogue memory mechanism; the information change identification and analysis module generates a personnel change risk report and performs early warning; and the summary report automatic generation module outputs a structured report. According to the method, the problems of data splitting, complex interaction and slow response in traditional enterprise management are solved, the functions of system intelligent question answering, personnel change risk analysis, structured report automatic generation and the like are realized, and the management efficiency and the information consistency are improved.

The invention discloses an AI-supported multi-modal desktop interactive projection method and system, and the method comprises the following steps: synchronously collecting visual signals, tactile data and voice input in a desktop projection environment, and obtaining a multi-modal information set after data fusion; calculating priority weight distribution of each mode according to the multi-mode information set, and obtaining a high-priority mode sequence; if the visual signals in the high-priority modal sequence are judged to be dominant, extracting a visual dominant feature group; performing cross validation on the visual dominant feature group and the tactile data, and judging information consistency after data fusion; according to an information consistency result, dynamically adjusting transparency control parameters of projection layering to obtain optimized hierarchical configuration; and updating the projection display content according to the optimized hierarchical configuration, and outputting the final projection content. According to the method, the interaction real-time performance and immersion of desktop projection are improved, and finally the technical effects of optimizing user experience and improving system intelligence are achieved.

The embodiment of the invention provides a network security information consistency representation method and device based on ontology modeling, and the method comprises the steps: classifying various entities related to network space security, and the relationships and attributes of the entities, and constructing an ontology model of a hierarchical structure; concept conflicts and ambiguity of multi-source data in the ontology model are eliminated through context binding, multi-view reconstruction and fuzzy reasoning; data is injected in real time through a heterogeneous data source to trigger ontology updating, and an ontology model is updated through a collaborative reasoning engine and an atomization updating operation set; and performing cross-level consistency verification on the static structure and the dynamic behavior in the ontology model, and verifying the robustness of the ontology model through a antagonism test. According to the scheme, the heterogeneity, conflict and dynamic variability of multi-source data in the field of network security are effectively solved, so that more accurate and robust security management and decision are realized.

The invention relates to the technical field of wind power plant AGC (Automatic Gain Control) systems, and discloses a video decoding and model fusion-based AGC system reliability early warning system, which is characterized in that monitoring equipment is accessed through a bypass of a video acquisition security access module, and an interface video stream is captured in real time; a video analysis feature extraction module synchronously decodes and extracts visual state features and multi-source data features; the intelligent diagnosis reasoning module independently diagnoses a system dead state based on visual features, and verifies information consistency and a locking state through a logic knowledge base based on multi-source data. And finally, the dual effects of realizing reliable external detection on a dead halt state with complete internal monitoring failure and realizing deep intelligent diagnosis on multi-source information logic conflicts are achieved, and the problems of blind area and shallow alarm of traditional monitoring are solved.

The invention provides a crack depth prediction method based on an infrared thermal imager and deep learning, and relates to the technical field of crack prediction.The method comprises the steps that a cooling infrared thermogram sequence and a visible light image of a crack area under thermal excitation are synchronously collected, and multi-modal features are extracted after registration fusion; based on consistency verification of heat conduction inversion, a width-depth empirical relation and a traditional detection means, a crack depth label with high confidence is automatically generated, and a data set with the label is constructed; and finally, designing a deep learning model containing attention enhancement and multi-scale fusion, learning a mapping relation between an input image and depth, and realizing accurate prediction of the crack depth. According to the method, a multi-source information consistency verification mechanism is introduced, physical model inversion, experience statistics and measured data are mutually verified, the bottleneck problem that high-quality deep labels are difficult to obtain in engineering practice is effectively solved, and a reliable training data basis is provided for a deep learning model.

The invention discloses a medical signal generation method and system based on a time-frequency double-domain constraint generative adversarial network. According to the method, a multi-category electrocardiosignal generation model is designed on the basis of a conditional generative adversarial network, global attention interaction is carried out by utilizing a learnable potential feature prototype and position-coded signal features through an adaptive neural representation module, and long-distance time sequence dependence of electrocardiosignals is modeled; through the adaptive spectrum sensing module and the dynamic mask mechanism of energy sensing, the discriminator intensifies the discrimination of the consistency of signal frequency domain information while paying attention to the time domain form, thereby effectively inhibiting the non-natural high-frequency artifacts in the generation process, and ensuring the high fitting of the generated signal and the real signal. Experiments show that the fidelity and diversity of generation of various types of electrocardiosignals can be remarkably improved.

The application discloses a planning calibration method and system for an information analysis intelligent assistant, and comprises the following steps: in each planning round, a candidate strategy set is generated by a planning agent, the candidate strategy set contains an information retrieval target, a retrieval keyword combination and an information processing flow; the candidate strategy set is evaluated by multiple agents with heterogeneous private memories, a strategy selection module based on the agents is constructed for information consistency, and a strategy with the most stable evaluation result is selected as an optimal strategy of the round; a difference between a self-selected strategy of the planning agent and the selected optimal strategy of the round is recorded, a calibration constraint module guided by consistency is constructed, and the difference is converted into a cognitive calibration constraint and stored in the memory of the planning agent; strategy selection optimization is realized in single-round planning by relying on the strategy selection module based on information consistency; and the cognitive calibration constraint generated by the calibration constraint module guided by consistency is combined, so that the constraint is transmitted between different rounds and gradually accumulated, and a constraint is formed on strategy generation of the planning agent; and the trained agent is applied to an open domain webpage retrieval task to generate accurate retrieval results.

The present application belongs to the technical field of model-based system engineering, and relates to a laser fusion superfast imaging instrument logic design method and system based on MBSE, which comprises: based on the demand information of the superfast imaging instrument, system indexes of the superfast imaging instrument are obtained through operation analysis; based on the system index identification, components required to achieve the system indexes are obtained, and component indexes are configured through decomposition of the system indexes; based on the component index identification, modules required to achieve the component indexes are obtained, and module indexes are configured through decomposition of the component indexes. The method establishes a multi-level two-way traceable relationship matrix in the collaborative development of the superfast imaging instrument, establishes a two-way traceable link among user demand, service use case and indexes at each level, ensures that any modification can be subjected to impact analysis, and improves information consistency; through standardized and visualized models such as service use case and activity diagram, a common understanding basis without ambiguity is provided for different teams, and team collaboration is promoted.

The application discloses a blockchain-based ticket settlement verification method and system, relates to the technical field of financial transaction safety, and comprises the following steps: S1, receiving a cross-border order submitted by a buyer, verifying the order integrity and the authenticity of the buyer's identity by using a digital signature algorithm, analyzing and extracting the buyer's information, the HS code of the commodity, the payment amount and the currency, and completing the consistency comparison of the ticket basis information in combination with the corresponding tax payment price interval of the HS code; S2, calling an off-chain risk control engine to carry out multi-dimensional compliance verification in parallel, generating a comprehensive risk score and dividing a risk level; after the verification, a preset aggregation template is matched based on the risk level, a unique feature identifier of the order is generated by using a hash algorithm; the risk level is adaptively matched with batch aggregation parameters and on-chain priority, and differentiated dynamic scheduling of off-chain batch evidence is realized. The application realizes full-dimensional pre-checking to avoid false transaction risks, and builds a risk level adaptive adjustment mechanism to balance business processing efficiency and risk control safety.

According to the CTC system multi-terminal multi-language display method, the data transmission display method and the terminals, a standardized data exchange format between a station autonomous machine and each event generation terminal is defined, so that the autonomous machine only processes standardized codes irrelevant to languages, and thorough decoupling of core business logic and language presentation is achieved. And meanwhile, a broadcast mode of centralized processing and distributed rendering is adopted, and an autonomous machine is used as a single information source to broadcast an operation result to all terminals at one time, so that the consistency and the real-time performance of information are ensured from the source. Besides, multi-language adaptive responsibilities are sunk to the terminals, and the terminals dynamically load language packages and complete conversion from codes to texts, so that dynamic pluggable localization support is realized. In addition, multi-language display and dynamic switching are achieved at low cost by matching with translation setting of an operating system and a small amount of code conversion, and the architecture advancement, information consistency, maintainability and internationalization adaptability of the CTC system are remarkably improved.

The specification discloses a task execution method and device, a storage medium and an electronic device, specifically comprising: generating original task execution instructions corresponding to a target task according to obtained task configuration information and sending the original task execution instructions to a target terminal device for execution. When it is determined that the task configuration information corresponding to the target task is changed, the task execution instructions can be updated according to the changed task configuration information, so that the target terminal device can execute the target task according to the updated task execution instructions. Through the method in the specification, the information consistency between the server side scheduling the task and the terminal device executing the task can be effectively ensured, and the terminal device executing the task according to the old configuration information after the configuration information is changed can be avoided, time consumption and execution cost are greatly saved, the execution efficiency of the target task is effectively improved, and the overall promotion speed of the business to which the target task belongs is also improved.

This invention discloses an image semantic segmentation processing method with adaptive context information extraction, belonging to the field of image processing technology. The specific steps of the method are as follows: First, basic features in three domains—spatial, frequency, and semantic—are collected and regularized into an original set. Then, cross-domain mapping is used to generate globally interconnected and fused features. Next, based on regional attributes, the features are decomposed into low-frequency structures and high-frequency detail components, and their proportions are adjusted to extract complete contextual features. Finally, after consistency verification and optimization of the three-domain information, pixel category determination is completed, and a high-precision semantic segmentation result is output. This invention solves the core technical problems of insufficient information coordination, difficulty in balancing global structure and local details, and inability to correct information conflicts between dimensions in traditional methods through a full-chain adaptive information processing mechanism. This improves the accuracy and regional clarity of semantic segmentation, making the segmentation results more consistent with actual scene requirements.

The application relates to the technical field of real-time monitoring, in particular to a data background real-time monitoring processing method and system based on plug-ins, which comprises the following steps: obtaining an activated plug-in thread identifier, analyzing field output content to extract a name path and a write state to establish a mapping structure, pairing path fields to identify name coincident data groups, judging field write time window overlap and buffer channel consistency to extract conflict path numbers, processing field order and delayed writing and updating the write state, and obtaining a monitoring field processing state list; in the application, plug-in field mapping structure is constructed to bind fields and output paths, conflict paths are identified, write time windows and buffer channel consistency are compared, a field order comparison mechanism is established to control repeated field delayed writing, a field control state table is generated, a monitoring processing state list is output according to field attribution and a function block, field behavior and control information consistency is guaranteed, and monitoring data processing integrity and logical reliability are improved.

The invention belongs to the technical field of model-based system engineering, and relates to an MBSE-based laser fusion ultrafast imaging instrument logic design method and system, and the method comprises the steps: obtaining system indexes of an ultrafast imaging instrument through operation analysis based on the demand information of the ultrafast imaging instrument; based on system index identification, acquiring components required for achieving the system indexes, and configuring component indexes by decomposing the system indexes; modules required for achieving component indexes are obtained based on component index identification, and module indexes are configured by decomposing the component indexes. According to the method, a multilevel bidirectional traceable relation matrix is established in ultrafast imaging instrument collaborative development, bidirectional traceable links are established among user requirements, service cases and indexes of all levels, and it is ensured that any modification can be subjected to influence analysis, so that information consistency is improved; through standardized and visual models such as service cases and activity diagrams, an unambiguous common understanding basis is provided for different teams, and team cooperation is promoted.

The application discloses an AI-supported multi-modal desktop interaction projection method and system, comprising the following steps: synchronously collecting visual signals, tactile data and voice input in a desktop projection environment, obtaining a multi-modal information set after data fusion; according to the multi-modal information set, calculating the priority weight distribution of each mode to obtain a high-priority mode sequence; if the visual signal in the high-priority mode sequence is determined as the dominant, extracting a visual dominant feature group; cross-verification is performed on the visual dominant feature group and the tactile data to judge the information consistency after data fusion; according to the information consistency result, dynamically adjusting the transparency control parameter of the projection layer to obtain an optimized hierarchical configuration; according to the optimized hierarchical configuration, updating the projection display content to output the final projection content. The application improves the interaction real-time performance and immersion of the desktop projection, and finally achieves the technical effects of optimizing the user experience and improving the system intelligence.

The application provides a method and system for checking the cross-modal information consistency of a maintenance plan based on a large model, and relates to the technical field of big data analysis. The method comprises the following steps: identifying a target maintenance plan through a power large model, determining key maintenance content, an unstructured proportion, and an attachment type complexity; obtaining a text data complexity and a business risk index based on key maintenance content analysis, as a first checking difficulty coefficient and a second checking difficulty coefficient; determining a third checking difficulty coefficient according to the unstructured proportion and the attachment type complexity evaluation; taking the expected review time limit of the target maintenance plan as a constraint, formulating an adaptive checking depth and an adaptive checking breadth based on the first checking difficulty coefficient, the second checking difficulty coefficient, and the third checking difficulty coefficient; and performing cross-modal information consistency checking on the target maintenance plan according to the adaptive checking depth and the adaptive checking breadth. The dynamic allocation of resources for checking the cross-modal information consistency of a maintenance plan is achieved.

The invention discloses an infusion information management system, which relates to the technical field of medical informatization equipment and comprises a task information access module, a label data generation module, a dual-channel acquisition module, a context association processing module, a synchronous locking control module, a transaction state judgment module and an execution record collection module. According to the method, a cross time locking domain and a transaction serialization mechanism are introduced into the system, so that unified constraint of multi-terminal data in a time domain and a logic domain is realized; meanwhile, scanning, position and equipment identity information are subjected to multi-dimensional binding through a context association structure, atomic-scale correspondence of an infusion label and a patient identifier at the infusion execution moment is achieved, and false matching caused by time sequence drift or concurrent operation is avoided; according to the invention, the safety of infusion behaviors and the consistency of system-level information can be obviously improved.

The invention discloses a clinical test data intelligent processing method and device, equipment and a medium, and the method comprises the steps: generating a verification value through extracting a key field of a subject, comparing and triggering cross-system data updating, generating an audit log based on a document operation event, and driving document synchronization, collecting the context of a writing interface to generate a semantic vector, matching historical fragments to complete report content, analyzing the content by using an intelligent verification engine to generate a correction suggestion, and predicting a notification time point by combining service conditions and user behaviors to trigger an early warning message so as to realize automatic processing of test data, documents and reports. Through linkage data synchronization, document updating, content generation and task notification, the information consistency in the test process is improved, the generation efficiency is improved, and reminding is timely, so that the clinical test collaboration quality and execution efficiency are enhanced.

The invention provides a method, a device, equipment and a medium for planning an air-ground cooperative task of an intelligent agent, and the method forms a closed-loop technical route of task modeling, communication and information consistency, cost and distribution optimization and trajectory control, and after task distribution and trajectory planning are completed, multiple unmanned aerial vehicles and multiple unmanned vehicles are in full communication under the condition of complete communication. The intelligent agents can acquire global task and state information in real time, the planned trajectory is smooth and feasible, enough safe spacing is kept between the intelligent agents, dynamic target tracking and regional patrol tasks are completed in sequence, and cooperation of task allocation and trajectory planning is achieved. Under the condition of incomplete communication when local information interaction is carried out in a communication radius, all agents can still gradually form consistent task cost cognition by means of a consistency algorithm, cooperative scheduling and trajectory tracking are completed on the basis of local information, and the overall task completion quality and the cooperative effect are basically kept consistent with a complete communication scene.

This disclosure provides anomaly detection methods, apparatus, devices, media, and program products for business systems. It collects business processing information generated by the target business system through its system service interface. When data change logs are collected from the database corresponding to the target business system, a consistency determination is made between the business processing information and the data change logs. If the determination result indicates inconsistency between the business processing information and the data change logs, the target business system is identified as an abnormal system. This method automatically identifies abnormal systems by determining the consistency between business processing information and data change logs, improving the efficiency and accuracy of locating abnormal target business systems. It solves the problem of not being able to automatically detect abnormal business systems, and by detecting anomalies in business systems, it better ensures the accuracy of business processing, thereby improving the user experience of the business processing platform.

This application provides a fixed solution verification method, system, electronic device, and storage medium for PPK (Programmable Point Kinematics) analysis. The method includes: acquiring GNSS observation data from multiple epochs at a user station; performing ambiguity fixing calculations based on the GNSS observation data for each epoch to obtain candidate fixed solutions, where each epoch corresponds one-to-one with a candidate fixed solution; calculating the carrier phase double-difference integer characteristic corresponding to each candidate fixed solution; verifying the correctness of each candidate fixed solution based on the carrier phase double-difference integer characteristic across multiple epochs; and determining the positioning result based on the candidate fixed solution if it is correct. This method fully utilizes the correlation of multi-epoch observation information in PPK post-processing mode, transforming the verification problem of a single-epoch fixed solution into a check of the consistency of correlated information across multiple epochs, significantly improving the accuracy and reliability of fixed solution verification.

The invention relates to the technical field of power distribution network intelligent control, in particular to a power distribution network fault self-healing distributed resource collaborative reconstruction method, system and device and a storage medium. The method comprises the following steps: collecting multi-source fault information of a power distribution network, constructing a fault information set, determining a fault section based on the fault information set through confidence-weighted information consistency verification, and generating a hierarchical isolation strategy to minimize a power failure range of a non-fault area; generating a fault isolation operation sequence according to the position of the fault section, and evaluating the photovoltaic output capacity, the energy storage charge and discharge capacity and the connection line transmission capacity; establishing a coupling relationship between network topology adjustment and distributed resource output adjustment, and determining a switching operation sequence and a resource scheduling scheme by solving a multi-constraint optimization problem; and calculating a dynamic importance score according to the load type, the current power utilization state and the social influence factor, sorting the loads according to the dynamic importance score, sequentially accessing the loads, and verifying the voltage and the line load rate.

The invention discloses a multi-agent decision-making method, device and equipment, a multi-agent system and a storage medium. The method comprises the following steps: acquiring input information of a large model; querying a vector database according to the input information to obtain a historical context, and querying a production activity state database according to the input information to obtain industrial production state information with consistent time and space among the devices; integrating the input information, the historical context and the industrial production state information into cue words of the large model; determining consistency input information, wherein the consistency input information is obtained after a consistency management and control module examines time and space information in the cue word; and inputting the consistency input information into the large model to obtain decision information. According to the method, the decision is made based on the input information, the historical context and the time and space consistent industrial production state information among the devices, so that global consistency can be achieved during multi-agent decision making.

The application discloses a kind of transient ground net ground potential spike real-time online monitoring system, specifically including capture terminal selection determination module, the arrangement installation module of capture terminal, host parameter configuration module, field potential spike detection module and networking alarm module, the arrangement installation module of capture terminal specifically includes background noise confirmation unit, effective test point confirmation unit and key information consistency acquisition unit, the present application can be in real time before the front end condition of primary equipment failure, especially special operation mode such as high temperature, high humidity, heavy load, improve the safety and reliability of system, from passive treatment to active and initiative defense, strict control accident in the time, reduce the cost of failure maintenance in later period, provide technical support for the development of future comprehensive online monitoring system, and by terminal data trend analysis, judge the trend of failure in advance, intervene in time, break the impact of later period failure on power grid, improve the safety and stability of power grid.

This invention discloses a method, device, and medium for fusing network active detection and computing power perception, belonging to the field of computing power network and mobile communication technology. The technical problem this invention aims to solve is how to obtain computing power information consistent with network information during computing network information perception, thereby improving the consistency and efficiency of computing network information dissemination. The technical solution adopted is as follows: In a computing power network scenario, computing power information is carried through protocol extensions in network active detection requests and responses: the entry node sends a computing power query request to the exit node, and the exit node replies with the computing power query result to the entry node; the exit node maintains an edge computing power information database, and the computing power information requested by the entry node is searched in the edge computing power information database; when the computing power service information changes and the change exceeds a set threshold, the exit node is notified; the exit node updates the edge computing power information database and notifies the entry node, through independent messages or network perception messages.

The application discloses a wafer sorting management method based on an RFID label and relates to the technical field of semiconductors. The method sets a wafer RFID label on a wafer and prewrites wafer information, additionally sets an RFID reader at a corresponding station of a sorting machine, reads the RFID label in a wafer tray by using the RFID reader when wafer feeding is performed, and performs consistency comparison on information of a Bin value, a wafer ID and a wafer storage position. After threefold verification, the wafer is extracted and chip sorting is performed. By binding wafer inherent information by using the RFID label and combining with real-time reading and writing verification of the station, the method can effectively avoid problems of wrong chip mounting and mixed mounting, is favorable for information summarization and management in the sorting process, and is favorable for improving wafer sorting accuracy and sorting efficiency.

The invention provides a tunnel disaster recovery method and device, electronic equipment and a storage medium, and the method is applied to a standby control node in a tunnel electromechanical control system, and comprises the steps: carrying out the control qualification and control information consistency verification of tunnel electromechanical equipment through the control information synchronized by a main control node when the main control node breaks down, the main control node is automatically switched to control tunnel electromechanical equipment, dependence of a dispatching center is reduced, and tunnel disaster recovery intelligence is improved. And realizing synchronization with the control rule of the main control node based on the control information synchronized by the main control node so as to ensure the safe operation of the tunnel after the main control node is switched. And a double-buffer mechanism is adopted to ensure that tunnel operation is not interfered when a control rule is newly added, and tunnel safety is ensured. In addition, according to the method, matching of the control rules is achieved by adopting a pre-established corresponding relation between a preset condition field and the control rules and a Boolean matrix of the preset condition field of each control rule, and the response speed of the tunnel event is increased.

The invention relates to a configuration synchronization method and device, computer equipment and a readable storage medium. The method comprises the following steps: in a process of performing hot upgrade on the virtual switch, in response to starting of a second process of the virtual switch, synchronizing first static configuration information and a first mapping relationship of a first process of the virtual switch to the second process; initializing first dynamic operation information of the second process, and synchronizing dynamic configuration information of the first process to the second process; in the dynamic configuration information synchronization process, first dynamic operation information of the second process is updated according to the dynamic configuration information; and after the dynamic configuration information is synchronized, establishing a second mapping relationship between the static configuration information and the dynamic operation information of the second process according to the first mapping relationship. By adopting the method, the consistency of the configuration information of different processes before and after the hot upgrade of the virtual switch can be maintained, and the correctness of network flow forwarding after the hot upgrade of the virtual switch is prevented from being influenced.

The present application relates to the technical field of data processing, and especially relates to a data collection and report generation method, medium and equipment, a general access strategy is obtained by analyzing a reference collection node, target collection nodes are screened based on the general access strategy and text data is collected, irregular nodes are removed from the source, and corresponding measures are taken in time when irregular behaviors of the nodes are found, so that the compliance of the collection nodes and the continuity of the collected data are guaranteed; a pre-trained large model is used to analyze the text data to generate an attribute information set, so that the analysis efficiency and accuracy are improved; according to target network site information update time, the multi-source attribute information of a data subject is verified, multi-site data conflicts are accurately identified, and the subject information consistency and the integrity of the feature portrait are ensured; the feature description data of the target identification code and the feature portrait are subjected to similarity matching, multi-source network data is converted into a structured report available for a third-party system, and reliable data collection and report generation are realized.

This invention provides a generator AI information consistency verification device that can verify the consistency between chunk information corresponding to input information and generated response information, and can also verify the conditions under which hallucination risks occur based on statistical evidence. In turn, it enhances the reliability of the generating AI, enables evidence-based explanations, and provides a device that can continuously avoid hallucination. [Solution] The generated AI information consistency verification device 1 includes an input control unit 14 that acquires chunk information based on input information and causes the generated AI to generate answer information based on the acquired chunk information and input information; a calculation unit 15 that calculates a basis score for the chunk information for each logical unit included in the generated answer information; a verification unit 16 that verifies the consistency of the answer information with the chunk information based on the calculated basis score; and an output control unit 18 that modifies and outputs the answer information based on the consistency verification result of the answer information.