44results about How to "Solve information silos" patented technology

According to the intelligent energy-saving analysis method based on the building information model (BIM), building thermal performance parameters and an intelligent simulation algorithm are integrated, building heat conduction, a heat bridge effect and solar heat gain are accurately simulated, and a scientific basis is provided for design. Meanwhile, an energy-saving optimization strategy is automatically generated, such as wall thickness adjustment and window design, so that energy consumption is reduced. Besides, a multidisciplinary cooperative working platform is established, effective implementation of energy-saving measures is ensured, and energy use and maintenance tracking of the whole life cycle of the building are realized and energy-saving performance is continuously optimized in combination with an energy management system. The innovation of the method lies in the automatic and intelligent analysis process, and a comprehensive solution is provided for the field of building energy conservation.

The invention provides a distributed energy regulation and control method and system based on 5G network and block chain collaboration, and the method comprises the steps: building an energy block chain-based IES power transaction architecture which comprises a block chain node; docking the regulation and control object with a block chain node in an IES power transaction architecture, wherein the block chain node is used for storing the smart contract subjected to security verification; constructing a distributed energy optimization scheduling model considering the 5G network and a mathematical model of a cooperative scheduling mechanism; and the intelligent contract generates a scheduling instruction according to the distributed energy optimization scheduling model and the mathematical model of the cooperative scheduling mechanism, and the scheduling instruction value is issued to the power generation and utilization unit after passing constraint condition check.

The invention relates to the technical field of medical apparatuses and instruments, in particular to a medical apparatus and instrument state management system based on the Internet of Things technology, which can remotely monitor and manage medical equipment and medical consumables in the whole period. Through the combination of the equipment sensor, the Internet of Things platform and the mobile terminal application, medical equipment management personnel can know information such as the operation state, the energy consumption condition, the maintenance period and the operation time of the medical equipment in real time, meanwhile, preventive maintenance can be carried out, related faults can be handled in time, and the quality and efficiency of medical services are improved. By means of intelligent remote monitoring and management, information islands are eliminated, efficiency is improved, data unification and sharing among all systems and departments are achieved, and the purpose of conducting real-time remote monitoring and management on medical instruments in the whole period is achieved.

The invention discloses a multi-dimensional police and civilian joint defense fraud data analysis method and platform, and the method comprises the following steps: training an analysis model, constructing an automatic abnormality detection and early warning mechanism, and building a real-time monitoring and early warning system; carrying out regular fraud model display, and simulating the fraud model to carry out directional training test; obtaining an abnormal access behavior of sensitive data of the real-time monitoring and early warning system to obtain abnormal data; continuously adjusting analysis model parameters based on directional training test results and abnormal data; according to the method, firstly, the model is trained by analyzing the data of the fraud cases, test analysis is carried out, so that more effective public education and propaganda strategies are formulated, and public anti-fraud cognition and consciousness are accurately improved by regularly carrying out training test and accurate positioning training on the public; the development of anti-fraud propaganda is facilitated, the anti-fraud workload is reduced, and the propaganda effect and efficiency are improved.

The invention discloses a file data circulation security system based on a block chain technology, and the system deploys block chain nodes based on the block chain technology, and constructs a block chain network system. An upper-layer application is established on the basis of digital identity authentication, a security policy smart contract, process management and control and uplink log auditing, and the upper-layer application comprises a block chain background management module, a file storage cloud service module and a component core capability module; in a business application level, a data owning party and a data using party can realize safe circulation of data through encryption authorization and authorization decryption services provided by the platform. According to the method, data privacy can be protected, data traceability and non-tampering performance are achieved, and meanwhile efficient data circulation and cross-platform interoperability can be achieved.

The invention belongs to the field of electric power data fusion, and provides a database fusion matching method and system based on multi-dimensional index correlation analysis, and the technical scheme is as follows: obtaining different types of electric power databases and database tables; extracting metadata information in different types of power databases; according to the database table and the extracted metadata information in the different types of power databases, converting field information of the databases into graph node information, respectively constructing a table entity, an attribute entity and a table-attribute relationship, and generating a relationship graph; respectively extracting local features and global features in the relational graph through a graph convolutional network and a self-attention mechanism on the basis of node attributes in the relational graph and the relation between the nodes, and splicing the local features and the global features to obtain representation vectors of the nodes; based on the representation vectors of the nodes, the Jaccard similarity between each pair of nodes is calculated, the Jaccard similarity is adopted, field matching is achieved through node matching, fusion matching of the database is completed, and the field matching accuracy is improved.

The invention discloses an assembly line rapid reconstruction method based on a forward variant network, and the method comprises the steps: summarizing a multi-domain conduction principle of product similarity-system configuration similarity-system execution similarity of a man-machine cooperation assembly line; the physical and logic reconstruction connotation of the man-machine cooperation assembly line is described through five dimensions of function-structure-behavior-execution-performance, all levels of the assembly line are comprehensively considered, and the comprehensiveness and coordination of the overall design are improved. In the flexible production line design process with the production line rapid variant design as the core, the parameterized node network model and the set pair theory are adopted, the optimal production line change scheme can be selected more scientifically and objectively, and the time period from information induction to scheme implementation is shortened. According to the method, a mathematical model taking change of propagation risks, change of propagation time and change of propagation cost as a comprehensive target is constructed depending on the actual production condition of an enterprise, fine management and cost optimization are realized, and the cost is reduced.

The invention discloses a power field integrated office system and method based on an RPA technology. The system comprises a power energy transaction and data analysis module, a distributed photovoltaic operation and electric charge calculation module, a financial comprehensive management and risk assessment module and an enterprise operation management and market development module. By automatically processing a large amount of business work which is simple in logic and mechanically repeated, the time and error rate of manual operation are reduced, and the working efficiency is remarkably improved. Through integration of monitoring, transmission, calculation, operation and application functions, cross-system seamless operation is realized, information islands are broken, and the overall cooperative capability of the system is improved. Aiming at new characteristics and new requirements in a novel electric power system with'double-high 'as typical characteristics, the solution provided by the invention is beneficial to promoting digital transformation and intelligent upgrading of the electric power energy industry, and has an important industry demonstration effect.

The invention relates to a station energy consumption anomaly detection method, system and device and a medium, and the method comprises the steps: automatically collecting the data of a station, loading the data to a pre-deployed data processing environment, and enabling the data to be processed by at least one processing node, so as to form a data set; obtaining features of at least one dimension of the energy consumption data based on the data set, and outputting a data analysis result in combination with the obtained distribution rules and correlation of the influence factors and the energy consumption data; constructing a feature set reflecting energy consumption influence factors according to a data analysis result; and inputting the feature set reflecting the energy consumption influence factors into a pre-constructed and trained energy consumption anomaly detection model, so that the energy consumption anomaly detection model performs single or batch anomaly detection on the energy consumption data according to the input feature set, and outputs an anomaly detection result. Through a series of steps of data integration, deep analysis, feature engineering, model training, anomaly detection and the like, comprehensive monitoring and intelligent management of station energy consumption are realized.

The application provides a kind of railway route auxiliary handling method based on video linkage processing shunt bad, comprising the following steps: step 1, according to shunting operation plan generation route, and the route is checked, whether there is shunt bad section;Step 2, when there is shunt bad section, based on the route area where shunt bad section is located finds camera and route mapping table, obtains associated camera address and magnification;Step 3, by camera address and magnification, the route area video that corresponding camera real-time shooting is consulted;Step 4, vehicle occupancy detection is carried out to the route area video of camera by video analysis server;Step 5, output video detection result, to provide dispatch personnel with video analysis result and carry out the handling of route.

The invention relates to a technical method for automatically checking converted product names, which belongs to the technical field of automatic processing of data in the manufacturing industry and comprises the following operation steps of: 1, receiving an original product name and a target product name input by a user; 2, automatically calculating and identifying a difference item between the original product name and the target product name based on a natural language processing technology and a feature word extraction rule; and a third step of obtaining related batch data and quality standard data from the BIP system according to the identified difference item code. And 4, automatically checking and analyzing the acquired data by utilizing an automatic checking engine. And 5, generating a checking report containing batch information which does not meet the requirement, and displaying a checking result through a visual interface. The system has the characteristics of automation, intellectualization, integration and precision. The problems that manual operation efficiency is low, errors are prone to occurring, checking items are omitted, and batch information is misread in the traditional transferred product name checking process are solved.

The invention relates to a one-key fault-reporting intelligent service system, and the system comprises a one-key intelligent fault-reporting entrance which is used for being embedded in the whole scene of each business system, and obtaining a fault-reporting instruction of a user in a one-key triggering manner; the information automatic acquisition module is connected with the one-key intelligent fault reporting entrance, and the one-key intelligent fault reporting entrance is used for automatically acquiring user information and fault data from different service systems according to a reported fault instruction; the intelligent analysis module is connected with the automatic information acquisition module and is used for performing analysis processing based on the acquired user information and the fault data to obtain a fault preliminary judgment result; and the automatic dispatching and fault processing module is connected with the intelligent analysis module and is used for automatically dispatching the fault preliminary judgment result and the fault data to workers for fault processing. Compared with the prior art, the method has the advantages of breaking an information island, simplifying a reporting process and the like.

The invention relates to the technical field of data processing, in particular to an activity configuration method, an activity configuration device, a storage medium and electronic equipment. The activity configuration method comprises the following steps: displaying an activity configuration page in response to an activity creation operation of a user; the activity configuration page displays at least one activity template; acquiring activity configuration information input by the user based on the activity configuration page, determining a target activity template selected by the user according to the activity configuration information, and configuring an activity entity according to the target activity template; and in response to a page rendering operation of the user in the activity configuration page, performing automatic rendering layout on the activity entity to generate an activity for publishing in the activity configuration platform. According to the activity configuration method provided by the invention, the problems of high construction cost and low configuration efficiency caused by low reusability and communication of an interactive playing method can be solved.

The present invention discloses a method for configuring a specific business based on a structured model, and the method includes: a main business end module triggers a specific business event based on a user role; generates a number of business undertaking items under specific business attributes based on the specific business event, and sends a business undertaking processing event to the undertaking user of the business undertaking item; receives processing information fed back by each undertaking user, and judges whether the specific business event reaches a business termination item based on the fed back processing information; if it is judged that the business event reaches a business termination item, then based on the business termination item, feedback business termination item information is given to the management user of the main business end module, and / or the user corresponding to the user role. In an embodiment of the present invention, a specific business event is associated with a specific business attribute, and then associated with a corresponding processing event, so that a specific business event can complete the configuration process of the corresponding specific business under the structural model.

This invention relates to the field of terminology database technology in the construction engineering field, and discloses a method and system for constructing and applying a terminology database in the construction engineering field. The method includes preprocessing unstructured data to obtain structured construction engineering text data; extracting structured construction engineering text data based on a joint extraction architecture to obtain structured terminology data and construction engineering triple information; establishing a standard database and a terminology database; constructing a terminology-standard two-layer knowledge graph based on the inherent relationship between the standard database and the terminology database and the construction engineering triple information; and responding to user queries by using a hybrid decision-making mechanism based on rule-based reasoning and graph neural network learning to call the standard database, terminology database, and terminology-standard two-layer knowledge graph to obtain query results. This invention realizes an intelligent closed loop for the entire lifecycle of construction engineering terminology from extraction and management to application, solving the problems of difficult acquisition, complex management, and inefficient application of industry terminology knowledge.

The present application relates to the technical field of vehicle identity authentication, and discloses a vehicle distributed identity authentication method and system based on biological characteristics, which comprises the following steps: a user completes initial biological characteristic registration on a source vehicle, and biological characteristics are bound with random keys by a fuzzy binding algorithm to generate a binding factor and a biological characteristic hash value and store them in association; when the user uses a target vehicle, the target vehicle locates the source vehicle according to the user identity and requests verification. The source vehicle sends the binding factor and the biological characteristic hash value to the target vehicle; the target vehicle collects the current biological characteristics of the user, recovers the candidate key by decoding operation using the binding factor, and generates a temporary biological characteristic hash value; and the authentication is completed by comparing the temporary biological characteristic hash value with the received biological characteristic hash value. The method uses a decentralized hash transmission and fuzzy binding verification mechanism to realize efficient, safe and non-repeated cross-vehicle identity authentication on the premise of protecting the privacy of biological characteristics.

The invention discloses a cross-platform information acquisition and public opinion processing optimization method and system. The method comprises the following steps: collecting network public opinion data from a plurality of independent public opinion monitoring subsystems; performing standardized preprocessing on the collected data from different subsystems to generate standard public opinion data in a unified format; performing public opinion analysis on the standard public opinion data based on a multi-dimensional analysis model, and generating an analysis result containing propagation popularity and risk assessment; and generating a public opinion monitoring report and early warning information according to an analysis result. The system comprises corresponding function modules. According to the method, multi-source data are integrated through a unified framework, deep analysis is performed by using a multi-dimensional model, accurate monitoring, intelligent early warning and resource optimization of whole-network public opinions are realized, and the automation level and decision support capability of public opinion processing are effectively improved.

The invention belongs to the technical field of archive management, and particularly provides a special equipment inspection archive knowledge graph construction method and device, equipment and a storage medium, and the method comprises the following steps: processing a special equipment inspection archive to obtain original data of the special equipment inspection archive; extracting entities, attributes and relationships among the entities from the original data; performing knowledge fusion by combining structured data and unstructured data in the original data; ontology modeling is carried out on the extracted entities, attributes and relations to complete special equipment inspection file ontology extraction; performing knowledge reasoning on the special equipment inspection file body to complete construction of a knowledge graph; nodes in the knowledge graph represent entities, and directed edges represent the relationship between the entities. Original scattered and heterogeneous inspection file data are integrated into a unified and structured knowledge base, and rapid retrieval and efficient utilization of the data are achieved.

This invention discloses a mechanized grain loading and unloading control system for railway transportation, comprising a sensing layer, a transmission layer, a system layer, and an execution layer. The sensing layer includes a set of sensing devices for collecting the sensing information required during mechanized grain loading and unloading operations. The transmission layer includes a set of network devices for transmitting control signals, video signals, management information, and sensing information. The system layer includes a management information subsystem, an equipment management subsystem, and a support subsystem for processing and displaying the sensing information and controlling the equipment based on it. The execution layer includes a set of execution devices that perform tasks according to control commands. This system enables real-time sharing of operational status and equipment safety monitoring, solving the problems of information silos between systems and imperfect interlocking mechanisms between devices in the grain terminal loading and unloading process.

This application relates to a drone-nested power distribution application system and method based on power grid drone inspection, comprising an automatic drone nesting unit, a drone swarm, an edge computing unit, a collaborative scheduling unit, and an intelligent application unit. Each unit is connected to the dedicated power grid via a dual-link redundant transmission through a 5G network. The automatic drone nesting unit provides the drone swarm with automatic take-off and landing, intelligent power replenishment, and environmental adaptive protection. The drone swarm is equipped with multimodal sensors to collect images of distribution network equipment and environmental data. The edge computing unit, integrated within the drone nesting unit, performs multimodal data fusion, defect identification, and online incremental algorithm updates. The collaborative scheduling unit, based on a digital twin model of the distribution network, achieves unified scheduling, spatiotemporal isolation, and emergency response for multiple drones and tasks. The intelligent application unit seamlessly integrates with the power grid management platform to achieve task distribution and closed-loop processing of work orders. This application significantly improves inspection efficiency and defect identification accuracy while reducing operation and maintenance costs.

This invention discloses a multi-agent cooperative control method for cross-domain unmanned swarms across land, sea, air, and space, comprising the following steps: S1: Constructing a decoupling model to separate the complexity of cooperative control along three dimensions: hierarchical, frequency-based, and domain-based; S2: Based on the decoupling model, designing a unified cooperative strategy, which generates personalized control objectives adapted to the dynamics and roles of agents in different dimensions according to a dynamically updated cross-domain cooperative situation map; S3: Introducing an event-triggered distributed reinforcement learning mechanism for each agent, ensuring that the agent triggers only when preset triggering conditions are met. This invention, through a hierarchical-frequency-domain triple decoupling model, separates the extreme complexity of cross-domain cooperation along three orthogonal dimensions: task level, control frequency, and physical space, and defines a standard interface to encapsulate the dynamics of heterogeneous platforms, reducing the complexity of system design and analysis.

The application discloses a campus safety risk identification method and system based on multi-algorithm nested cooperation and a medium, relates to the technical field of campus risk identification, and constructs a dynamic rule library, matches all dynamic rule graphs corresponding to initial event signals from the dynamic rule library, and creates dynamic rule graph instances; each node is activated according to a topological order and an activation condition, the comprehensive confidence and the quasi-truth degree of a potential risk hypothesis are calculated at a convergence node based on DS evidence theory to perform risk early warning; multi-dimensional information is deeply associated and comprehensively judged, and the problems of information silos and low-level misjudgment are solved; a school calendar rhythm is converted into a time weight factor and embedded into a DS evidence fusion process, time background can be perceived, the contribution degree of different types of evidence and the sensitivity of risk decision-making can be automatically adjusted, false positives caused by neglecting context are reduced, and early and accurate early warning can be ensured in a high-risk period.

The present application relates to the field of biological sample collection device, in particular to a biological sample collection information tracing device, comprising: a tube body for storing biological samples; a sealing tube cover detachably installed at the opening of the tube body; a trigger component arranged between the tube body and the sealing tube cover; a clock chip cooperating with the trigger component to determine the opening time of the sealing tube cover; a memory for storing the opening time detected by the trigger component; a near field communication module for transmitting the opening time stored in the memory to a reading device; a microcontroller for processing the state of the trigger component to determine whether the sealing tube cover is opened and transmitting the information of the opening time to the memory; a circuit board for connecting the trigger component, the clock chip, the memory, the near field communication module and the microcontroller. The present application realizes the digitization and objective tracing state of the biological sample as soon as it is collected from the outside.

The present application relates to the technical field of metering informationization and intelligent management system, in particular to a kind of inspection and calibration system and device of intelligent inspection platform;Including: customer inspection digital acceptance module, sample intelligent receiving tracking module, detection execution automation integrated module, report automatic generation management module, provincial measurement resource sharing analysis module;The present application realizes inspection whole-process digitization, automation and intelligent management by constructing wisdom measurement inspection and calibration platform, significantly improves customer handling efficiency, reduces communication cost, eliminates sample confusion loss risk, improves detection data accuracy and task completion rate, shortens report issuing cycle and enhances standardization and anti-fake ability, simultaneously creates new mode of centralized sharing of provincial measurement resources, breaks information silos, provides strong support for administrative supervision, agency optimization and customer traceability, overall reduces inspection cost, improves service quality, promotes high-quality development of measurement industry.

The application provides a kind of city traffic operation management system and method based on big data, by obtaining initial traffic data of city traffic from each database, and the initial traffic data is standardized and integrated, and multidimensional traffic data is obtained, the integration of various data sources is realized, the content of traffic data is enriched, the problem of information island is solved, by based on the multidimensional traffic data, combined with management requirements, build multiple city traffic management models, establish various management models, realize the arrangement of each type of traffic data, provide effective data information for subsequent decision-making, by visualizing the city traffic management model, it is convenient for decision-makers to intuitively understand the traffic operation, according to traffic demand, based on visual display data, combined with artificial intelligence, get traffic decision, realize the precise acquisition of traffic decision, promote green traffic construction and industry governance.

The invention discloses a kitchen induction cooker range Internet of Things automatic power-off fire protection device which comprises an integrated machine shell, the integrated machine shell is a cavity shell of a rectangular structure, an installation assembly is arranged on the integrated machine shell and fixed to a building, a control wire connector is arranged in the integrated machine shell, and the control wire connector is connected with a power supply line of an induction cooker range; the invention relates to the technical field of kitchen fire fighting, and discloses an internet-of-things automatic power-off fire fighting device for a kitchen induction cooker, which is designed and integrated with various sensors according to the characteristics of the induction cooker, realizes a fire fighting strategy taking prevention as a main part, comprehensively monitors the kitchen environment, can quickly decide a processing means according to various environmental parameters of the kitchen induction cooker, and improves the fire fighting efficiency. Rapid and automatic power-off is realized through controlling the wire connector, and through linkage of the central controller and external Internet of Things equipment, alarm multi-level performance is improved, linkage with intelligent kitchen equipment is realized, and the problem of information isolated island is solved.

The utility model discloses an aluminum electrolysis cell shell temperature monitoring system, which comprises a monitoring client, a cell shell temperature monitoring cloud platform and a plurality of local acquisition and control units, and each local acquisition and control unit comprises a plurality of temperature sensors and a plurality of heat dissipation modules; and each on-site acquisition and control unit acquires temperature data of key point positions of the electrolytic cell shell in real time through the temperature sensor, accurately controls the work of the heat dissipation module according to a preset temperature threshold value, and monitors the state of the heat dissipation module. According to the scheme, the problems of exception handling lag and information isolated island of traditional aluminum electrolysis cell shell temperature monitoring can be solved. Automatic temperature adjustment can be achieved, production risks caused by manual delay are avoided, data are integrated, barriers are broken, enterprises are helped to optimize the process, energy is saved, efficiency is improved, the electrolytic aluminum efficiency is effectively improved, intelligent transformation of the industry is promoted, and competitiveness is improved.

The invention discloses an agricultural ecological water utilization potential mining method and system based on a block chain, and belongs to the technical field of agricultural information. The method comprises the following steps: collecting agricultural water data through the Internet of Things, and ensuring credibility through blockchain evidence storage; on the basis of on-chain data, dynamically accounting the gridding ecological water utilization potential by using a model fusing a physical mechanism and deep learning; a water right transfer and ecological compensation protocol is automatically generated and executed through an intelligent contract, and ownership transfer and payment automation are achieved; and constructing an incentive and on-chain governance mechanism based on contribution proof, distributing tokens according to data quality, water saving amount and governance participation, and updating system parameters through right proof voting. The system correspondingly comprises a data storage module, a potential accounting module, an intelligent contract module and an incentive management module. According to the method, credible evaluation, efficient conversion and sustainable operation of the agricultural water-saving potential are realized.

The invention discloses an industrial equipment collaborative management system based on the Internet of Things, relates to the technical field of production supervision, and effectively improves the response efficiency when each piece of production equipment or product is abnormal. According to the method, a product production sequence chain and a standard product deformation representation interval are established according to historical product production records, and a standard processing operation track path interval is established according to historical equipment operation records; and binding the standard processing operation track path interval and the standard product deformation representation interval to a product production sequence chain to obtain a production supervision path of each product, establishing a production line distribution network, matching the production supervision path according to the product name, inputting the production supervision path to the production line distribution network to obtain a product production execution chain, and sending the product production execution chain to the production line distribution network. And performing product processing simulation according to the newly generated product production execution chain and the currently executed product production execution chain, and correcting and executing the newly generated product production execution chain according to a product processing simulation result.

The present invention relates to the field of data information transmission technology, and in particular to an AI intelligent computing center computing and storage integrated cloud platform and security protection method, including edge computing modules for providing edge intelligent computing power; AI intelligent computing units for performing AI intelligent computing; edge storage units for storing data generated by the AI ​​intelligent computing units as intelligent computing data; various time-effectiveness backup modules for real-time backup of intelligent computing data generated by each edge computing module, and planning and management, and also for adjusting the planning and management process of real-time backup, and also for optimizing the data backup state, and also for encrypting and uploading real-time backup data as uploaded data, and adjusting it; verification storage module for storing uploaded data; storage verification unit for performing storage judgment on uploaded data; decryption storage unit for storing uploaded data judged by storage. The present invention improves the intelligent computing efficiency and security of AI intelligent computing.