56 results about "Information interoperability" patented technology

The invention relates to a trauma first-aid intervention time optimization management system and method based on multi-modal data fusion, and is suitable for high-timeliness trauma treatment scenes. The method comprises the following steps: S1, collecting and standardizing multi-source heterogeneous data from physiological monitoring, an image system, text recording and the like; s2, extracting each modal feature, and generating an intermediate semantic representation; s3, constructing a multi-mode cooperative control mechanism, and dynamically allocating a dominant mode and an auxiliary mode according to a TIPT task node state to realize semantic information intercommunication; s4, adjusting the fusion weight based on the time sensitivity score, and realizing adaptive regulation and control of modal fusion; s5, the task path scheduling module automatically starts a standby strategy when the key mode is missing or delayed, and task propulsion continuity is guaranteed; and S6, outputting diagnosis and treatment suggestions and performing task closed-loop feedback. The method can effectively improve the data fusion efficiency and decision reliability in the time-sensitive medical task, and has good clinical practicability and popularization prospects.

The present invention belongs to the field of aerospace technology and relates to a digital twin system for low-orbit giant star constellations and a construction method thereof. The system includes a data management module that comprehensively manages the real-time data, vertical data, horizontal data, simulation data, and fusion data of the giant star constellation system; a model management module that dynamically constructs and comprehensively characterizes the geometric, physical, behavioral, rules, and constraint characteristics of complex physical systems from different dimensions, different spatial scales, and different time scales; an information management module utilizes these multi-scale and multi-level characteristic information to perform local to global network reconstruction of the low-orbit giant star constellation system and restore the complete information network; a collaborative coupling mechanism of data interconnection, information exchange, and model interoperability is adopted to achieve efficient and real-time monitoring and management, providing a solution for digital, visual, and intelligent supervision.

The invention provides a Canvas-based annotation display method and a Canvas-based annotation display device for any document format, and aims to solve the problems of high file format dependency, poor annotation information interoperability, poor display consistency and the like in the prior art. The method specifically comprises the following steps: S1, acquiring a file type, and acquiring an original width and an original height of a file according to the file type; s2, constructing a first coordinate system, and representing the labeling information in the first coordinate system in a rectangular coordinate mode; s3, drawing a rectangular labeling frame and a labeling text through Canvas to form a transparent mask; s4, according to the actual display size of the current display window, calculating a scaling ratio, adjusting the size of Canvas according to the scaling ratio, and covering the file display area; and S5, displaying the file with the annotation information in the file display area. The use experience of the user is improved.

The invention relates to a mine area collaborative early warning and emergency response system based on'scene-quick response chain-disposal ', and belongs to the technical field of mine safety intellectualization. The system adopts a'distributed deployment and centralized management and control 'mode, and covers five-layer architecture of perception, transmission, data, decision and application. Through the technologies of multi-dimensional perception, high-reliability communication, intelligent decision making and the like, the problems of response lag, unsmooth information, low decision making efficiency and the like in traditional emergency response are solved. Around the targets of cross-subject information intercommunication and the like, multi-subject efficient linkage is realized through full-process logic. The system also has the functions of redisk optimization and rule iteration, can continuously improve the emergency response capability, and provides powerful technical support for the emergency response of a mine area.

The invention is suitable for the technical field of recruitment and employment, and provides a blue collar post intelligent recommendation method and system based on multi-dimensional analysis, and the method comprises the following steps: building a multi-dimensional data system covering workers and posts, the multi-dimensional data system comprising worker data and post data; constructing worker portraits and post demands through multi-dimensional analysis; matching the worker portrait with a post demand, and generating a personalized recommendation result with a selection function; and sending the personalized recommendation result to a worker individual and a construction party in an information pushing manner, so that the worker and the construction party perform bidirectional selection. The method is specially applied to the aspect of temporary workers in the building industry, an information intercommunication way between workers and construction parties is opened, and the operation efficiency of the building industry is remarkably improved.

The application discloses a kind of unmanned aerial vehicle group reconnaissance power scheduling method based on collaborative computing, the method is directed to how to realize information intercommunication and cluster resource comprehensive collaborative allocation in the process of collaborative detection without relying on ground mobile base station and cloud computing server, establish cluster information collaborative model and form cluster collaborative computing alliance, through mutual communication between unmanned aerial vehicle, reasonably coordinate cluster detection and computing resource, and realize cluster reconnaissance power optimal method.The present application includes that the system is based on task search vector in the detection topology optimization layer, optimizes the detection position of unmanned aerial vehicle, in the resource optimization layer, the system alternates task unloading proportion and computing resource allocation proportion to give the reconnaissance power under the current detection topology, the system is constantly optimized detection topology optimization layer and resource allocation optimization layer according to the feedback of reconnaissance power, finally obtain the optimal detection topology and resource allocation scheme of cluster, realize efficient detection.

The invention discloses a pregnant and lying-in woman depression screening information system, which relates to the technical field of depression risk screening, and has the technical key points that the system comprises five core modules, namely a pregnant and lying-in woman information management module, a screening recording module, a referral management module, a reception management module and a data statistics and analysis module, and the whole-course management of pregnant and lying-in woman psychological health is realized through multi-dimensional data integration. The system creatively adopts a self-adaptive screening tool matching mechanism in the pregnancy and birth stage, and supports intelligent analysis of screening results and risk early warning. Through a hierarchical authority management system, differentiated function configuration of pregnant and lying-in women, screening personnel, reception doctors and regional managers is realized, and information intercommunication between women and children and mental health institutions is promoted while data safety is guaranteed. The system has the functions of data visual analysis, automatic referral tracking and reception closed-loop management, the screening efficiency and data timeliness are remarkably improved, intelligent support is provided for early discovery and intervention of pregnant and puerperal depression, and the health risk of mothers and infants is effectively reduced.

The invention discloses a multi-communication integrated ship-shore cloud collaborative ship navigation auxiliary system and an information data interaction method. The system comprises a shore cloud system and a ship-end navigation aid system. The ships can communicate with each other through four communication modes of the ship end navigation aid system; the shore cloud system and the ship-end navigation aid system realize ship-shore communication through mobile internet communication or Tiantong satellite communication; the shore cloud system automatically pushes sailing safety auxiliary prompts such as ship crossing a bridge area and ship deviating from a port entering and leaving channel to the ship end navigation aid system through mobile internet communication. According to the invention, an information collaboration method between ships and between ships and shore cloud is realized, and emergency information, marine navigation safety information and hydro meteorological information can be directly communicated; sailing safety auxiliary reminding such as ship crossing a bridge area and ship deviating from a port entering and exiting channel is carried out; the system method can be applied to an intelligent port and navigation informatization supervision system and a ship fleet safety operation system.

The application relates to the technical field of integrated management, and discloses a molten aluminum processing technology integrated management system and method. The system comprises an encoding module, a configuration module, a quality inspection module, an embedding module, a decoupling module and a regulation and control module, the modules are connected in series to form a data processing chain, the encoding module is further connected with the quality inspection module to provide deep identification information, and the regulation and control module is connected with the encoding module to provide feature chain data. The system realizes the whole-process management of molten aluminum processing through multi-level encoding, dynamic configuration, cross quality inspection, information embedding, parameter decoupling and linkage regulation and control. The application overcomes the problems of data fragmentation and poor information intercommunication in the existing molten aluminum processing technology management, and realizes the whole-process data integrated management from raw materials to finished products.

The present invention discloses a method for selecting an optimal transmission client based on a cluster file transmission system. Through the information interaction between the system client and the control server, the present invention can select a control client with the optimal performance, avoid problems caused by insufficient performance of the control client, and still quickly select an optimal control client in the case of abnormal operation or disconnection of the control client, ensuring the normal operation of the system and improving the stability and continuity of file transmission in the cluster file transmission system.

The invention provides a distributed information publishing system which comprises an information acquisition system, an information comprehensive processing system, an information publishing system and a network transmission system and is used for transmitting control information and publishing information. The control information of the corresponding sites is uniformly collected through the collection units arranged in the test sites, cross-site transmission of the control information of the sites is achieved through the network transmission system, and then the control information of the first preset site is converted into the release information matched with the second preset site through the information comprehensive processing system. Finally, the information is displayed through the publishing unit of each site, so that the problem of information intercommunication and sharing caused by dispersed physical positions, system architecture differences and the like of the existing multiple test sites is effectively solved, accurate transmission and adaptive publishing of control information among different sites are realized, timely acquisition of key information by each site in the test process is guaranteed, and the test efficiency is improved. And powerful support is provided for stable operation of field test equipment and safety of testers.

The invention discloses a port pollution and carbon cooperative processing method based on multi-model fusion and a dynamic knowledge graph, and the method comprises the steps: constructing and maintaining the dynamic knowledge graph which comprises a port entity and a multi-dimensional relation of the port entity, taking the dynamic knowledge graph as a core knowledge base for cooperative decision making, carrying out the task analysis and reasoning based on the graph when a cooperative processing request is received, and carrying out the task analysis and reasoning based on the graph; a complex task is decomposed into atomic sub-tasks with a logic or time sequence dependency relationship, adaptive professional processing models are matched, a task execution directed graph is constructed, multiple models are scheduled in order for collaborative operation, output is fused and subjected to conflict resolution, a final collaborative scheme is generated, actual effect data are collected, and the task execution directed graph is matched with the atomic sub-tasks. And incremental updating is carried out on the dynamic knowledge graph, so that a complete closed loop from sensing, decision making, execution to feedback learning is formed. According to the invention, information intercommunication and strategy linkage of port pollution prevention and carbon emission control systems are realized, dynamic changes of port operation can be automatically adapted, and the intelligent level and comprehensive benefits of collaborative management are continuously improved.

The invention discloses an active safety identification system and method for a crowded area based on digital twinning and CNN. The system comprises a video acquisition device, a preprocessing module, a CNN model, a digital twinning platform, an early warning module and an information intercommunication module. The video acquisition equipment is a high-definition camera; the preprocessing module is used for carrying out denoising and contrast enhancement processing on video data acquired by the video acquisition equipment; the CNN model is a convolutional neural network model and is used for performing video analysis and recognition on the video data subjected to denoising and contrast enhancement processing; the digital twin platform is deployed at a cloud end and is used for training and optimizing a CNN model; the early warning module is used for operating the CNN model, performing video analysis on the video data in real time, and sending out an early warning signal when a potential safety hazard is identified; and the information intercommunication module pushes the early warning signal to family members of the user and security and public security systems of areas where the early warning signal appears. According to the invention, potential safety hazards in crowded areas are actively identified, and travel safety is improved.

The invention discloses an AEB control method based on cooperation of a low-orbit satellite and the Internet of Vehicles, and relates to the technical field of intelligent traffic and vehicle safety control, and the method comprises the steps: enabling an intelligent vehicle to collect the state data of the vehicle and the information of surrounding vehicles through a low-orbit satellite communication module, and uploading the data to the low-orbit satellite; the low-orbit satellites group and summarize vehicle data in a similar geographic area, construct a dynamic map of vehicles in the area, screen vehicle clusters needing information intercommunication, generate scheduling information and issue the scheduling information to the vehicles, and the edge calculation unit sends a brake triggering instruction to the AEB control unit when judging that the risk reaches a preset safety threshold. According to the AEB system, beyond-visual-range data intercommunication is achieved through the low-orbit satellites, sight shielding and distance limitation of traditional vehicle-mounted sensing are broken through, and the risk identification precision and response timeliness of the AEB system are improved.

The invention discloses an industrial manufacturing collaboration platform and system based on the Internet, and relates to the technical field of industrial manufacturing collaboration.The industrial manufacturing collaboration platform comprises an industrial production monitoring module, an industrial manufacturing collaboration analysis module, an industrial collaboration management module and a database; further predicting the finished product condition of the product correspondingly manufactured by the enterprise production department, acquiring market data of the product manufactured by the marketing department corresponding to the enterprise, analyzing whether to regulate and control the processing corresponding to the enterprise production department, and judging whether the product correspondingly manufactured by the enterprise widens the new sales channel or not; the basic states of products in different processes can be known in real time, so that information intercommunication among departments is realized, upper and lower constraint collaborative development is realized, intelligent collaborative development of industrial manufacturing of enterprises is realized, and the industrial manufacturing collaborative platform provides efficient data support for product manufacturing communication in the enterprises and has a wide application prospect. And an enterprise can make a clear operation decision conveniently.

The invention relates to the technical field of wireless communication, in particular to a collaborative resource scheduling method and device in an optical and wireless fusion network, based on a C-WAN architecture, an MFU issues a resource allocation instruction through a passive optical network, an SFU executes local operation and reports interference information to the MFU to dynamically optimize grouping, and information intercommunication between the MFU and an STA is achieved. A downlink control frame and an uplink interference frame are further designed and used for transmitting an allocation instruction of the MFU to the RU and interference information collected by the SFU, a conflict matrix in the MFU is updated in real time, and a precondition is provided for optimizing STA grouping. According to the invention, the resource units can be intelligently allocated according to the signal intensity information of the site, so that the spectrum utilization rate is enhanced, and the multi-user fairness and the overall network capacity are improved.

The invention relates to the technical field of data processing, in particular to a function control method for an intelligent charging pile, and the method achieves the anti-theft of the charging pile, the sharing of the charging pile, the information feedback of the charging pile and the data updating of the charging pile through the information intercommunication of a charging pile end, a mobile end and a vehicle enterprise end. According to the method and the system, the charging pile end receives the tourist equipment code and the tourist request and feeds back the information to the user mobile end and the vehicle enterprise end, so that safety, operation convenience and operation efficiency are improved, information collection visualization is realized, and when the charging pile end identifies the tourist equipment code and the tourist request, the sharing demand is processed and fed back, so that safety of the charging pile is improved, user experience is optimized, and user experience is improved. Therefore, the safe sharing requirement of the charging pile is met.

The application provides a gas station operation intelligent scheduling and safety compliance management and control system and method facing man-machine ring cooperation. On the basis of operation intelligent chain scheduling, on the one hand, through man-machine cooperation, the computer processing process and system safety information and operation instruction user management of abnormal early warning and gas data fusion are combined; on the one hand, the environmental early warning and chain data storage are combined to realize the safety compliance management and control information cooperation based on node environmental data; on the other hand, the operation intelligent scheduling information receiving end is used for real-time monitoring and receiving the operation intelligent scheduling information of each node of the system. The linkage system control large screen realizes the cooperative output and presentation of man-machine ring information, shows the operation intelligent scheduling information and the early warning information of each node of the gas station to the gas station administrator control center, effectively improves the function cooperation and information interconnection of the three information management and control of the system man-machine ring, and improves the operation intelligent scheduling and safety management and control efficiency of the gas station.

The invention relates to the technical field of health management intelligent voice assistants, and discloses an old people chronic disease health management intelligent voice assistant system and method. Comprising a multi-modal data acquisition module, a health data storage and management module, a personalized suggestion generation module, a voice interaction and accompanying module, a health risk monitoring and event pushing module and a user and family member information intercommunication module. The multi-modal data acquisition module is used for acquiring hardware data of blood pressure, blood sugar and heart rate, and extracting laboratory sheet index data through a photographing and image recognition technology; and the health data storage and management module is used for storing personal historical indexes, living habits and medical record information and maintaining data availability and versions. According to the old chronic disease health management intelligent voice assistant system and method, health data interpretation and reminding functions can be combined, the use experience and compliance of the old are improved through voice interaction and virtual characters, and the information understanding threshold is reduced.

The invention discloses a rescue command scheduling method and system based on multi-objective optimization, and belongs to the technical field of medical emergency scheduling. The system is composed of a video alarm module, a remote guidance module, an expert cooperation module, a data management module and a queuing dispatching module. For a complex scene with multi-task and multi-resource matching, a multi-target scheduling scoring function fusing accident emergency degree, geographic distance, response time, resource state and matching degree is constructed, and quantitative modeling is performed on actual rescue requirements from the scheduling level. In order to realize global optimal distribution, an improved particle swarm algorithm with a dynamic weight adjustment and probability jump mechanism is adopted to solve a scoring function, and global search and local convergence performance are considered. Scheduling optimization is embedded into a system real-time response process, an optimal resource assignment scheme is generated, and the intelligence and scientificity of emergency scheduling are improved. Information intercommunication and business cooperation of alarm, scheduling, guidance and treatment are realized, a closed-loop emergency command system is constructed, and pre-hospital rescue response efficiency and success rate are improved.

The application discloses a kind of mine equipment operating pose monitoring method, system and equipment, method includes: obtaining the three-dimensional model of pre-constructed mine equipment;Collect the operating pose data of mine equipment, operating pose data is the displacement data and deformation data of each component of mine equipment;According to operating pose data and three-dimensional model, determine the instantaneous position set of each component;According to instantaneous position set, generate the instantaneous three-dimensional model of mine equipment.Solve the problem that traditional video monitoring system with camera as core cannot monitor equipment pose details in mine equipment monitoring field due to poor environment, etc..Through the scene application of three-dimensional visualization, form self-controllable three-dimensional visualization virtual engine, support the three-dimensional visualization monitoring digital twin scene application development of each industrial equipment in mine, reduce the work difficulty of mine production monitoring staff, help mine information intercommunication, fusion application, help mine to reduce cost and increase efficiency.

The invention relates to the technical field of intelligent follow-up visit, in particular to an atrial fibrillation intelligent follow-up visit system and method for old people. The system is characterized in that a non-contact multi-mode sensing module acquires multi-source human body signals through a non-contact core acquisition unit, and the multi-source human body signals are subjected to filtering, signal quality index calculation and dynamic weighted fusion through a scene adaptive processing unit to output and integrate feature data; the risk detection scoring module adopts a three-level feature extraction network structure trained based on an elderly exclusive data set, outputs atrial fibrillation positive probability and generates a four-level risk score; the aging-suitable interaction module realizes information intercommunication among patients, family members and medical care terminals; the follow-up management module establishes a layered follow-up scheme according to the risk score; and the data storage module realizes encrypted storage and authority management. According to the invention, through non-inductive acquisition and the elderly exclusive feature extraction model, the problems of wearing conflict, low detection precision and follow-up fragmentation of the elderly atrial fibrillation patient are effectively solved, and the continuity and safety of follow-up are improved.

The present application belongs to the technical field of mining equipment management, and aims to solve the problem that the existing management means cannot provide standardized, digitized, traceable and quantifiable system support for the remanufacturing of excavator-anchor integrated machines. A remanufacturing online management system for excavator-anchor integrated machines is provided, which comprises a device information management module, a device duration management module, a device accessory management module, a maintenance man-hour management module, a maintenance process selection module and a permission management module. The present application integrates the information of devices, components, accessories, duration, process, personnel man-hours and the like in the whole process of remanufacturing of excavator-anchor integrated machines, realizes cloud storage and real-time synchronization of information based on B / S architecture, and designs a dual storage mode of local cache + cloud synchronization and industrial-grade lightweight optimization, which is suitable for complex scenarios in workshops, solves the problems of information dispersion and untimely updating in traditional management methods, realizes information interconnection in each management link, and improves the collaborative efficiency of the remanufacturing process.

The utility model belongs to the field of spectrum detection, and particularly relates to a spectrum detection system based on an unmanned aerial vehicle platform. The unmanned rotorcraft is adopted as a platform, the damping support is fixed below the unmanned rotorcraft through the mounting support, the host is fixed above the unmanned rotorcraft, and when the unmanned rotorcraft is used, the probe module can rotate in the horizontal direction and the vertical direction through the first holder and the second holder; the stability of image acquisition of the probe module in the flight process of the unmanned aerial vehicle is kept, and accurate monitoring of the system on the target is realized; different heights or scene targets can be better tested; meanwhile, the display can observe data acquisition states and acquisition results in real time, information intercommunication of an interactive interface is realized, and each state can be observed; and setting, modification, storage and application of parameters are realized.

The invention discloses an unmanned aerial vehicle group detection capability scheduling method based on cooperative computing, and aims to solve the problem of how to realize information intercommunication and cluster resource comprehensive cooperative distribution in a cooperative detection process without depending on a ground mobile base station and a cloud computing server. A cluster information collaboration model is established, a cluster collaboration computing alliance is established, cluster detection and computing resources are reasonably coordinated through mutual communication between unmanned aerial vehicles, and the cluster detection capability optimization method is realized. The method comprises the steps that a system optimizes an unmanned aerial vehicle detection position based on a task search vector in a detection topology optimization layer, a system alternating task unloading proportion and a computing resource allocation proportion in a resource optimization layer give a detection force under a current detection topology, and the system performs resource optimization according to the feedback of the detection force. And continuously optimizing the detection topology optimization layer and the resource allocation optimization layer, and finally obtaining an optimal detection topology and resource allocation scheme of the cluster to realize efficient detection.

The invention provides an intelligent property management system based on an AI model, which comprises a security and protection system, an employee attendance system, a work order monitoring system and an AI regulation and control system, and is characterized in that the security and protection system, the employee attendance system and the work order monitoring system carry out information intercommunication and interaction through the AI regulation and control system; and an AI data model for risk prediction and automatic work order distribution is formed through information interaction. During use, the prediction model is established through the AI regulation and control system, on-site images, audio data and the like are captured through equipment such as a camera and a sound pickup in the security and protection system, and whether dangerous factors exist in the site or not is judged in time by combining and comparing the on-site images, the audio data and the like with the prediction model. And the data of the point where the risk factor is located is transmitted to a work order monitoring system, and a temporary work order is generated to dispatch security personnel and other personnel to the site for processing, so that the response speed of emergencies in a property management area and the convenience of property management are achieved.

The present application belongs to the technical field of urban and rural community digital management, and discloses an urban and rural community management digital cloud system, a control method, equipment and a terminal, a data acquisition module for collecting urban and rural community data in real time through Internet of Things technology and big data technology, an information transmission module for realizing information intercommunication between governments, enterprises, social organizations, communities and residents by establishing an information transmission mechanism, a resource sharing module for realizing resource sharing, a service interaction module for realizing service interaction, a collaborative management module for realizing collaborative management, and a function optimization module for analyzing and evaluating system operation through the establishment of a system operation monitoring and effect evaluation mechanism to realize system function optimization. The construction of the urban and rural community management digital system based on the "five social linkage" helps to improve the management efficiency, optimize the resource allocation, improve the service quality, promote the community development, and improve the management transparency and other advantages.

The embodiment of the invention provides an information processing method and device, a storage medium and a program product. In the information processing method, a first intelligent module executes a processing action on a consultation question of a user, and after a calling scheme for a second intelligent module is obtained, an action record can be written in a target work order object of a track record type according to a processing result, so that a track service component publishes an event message according to the action record. The event message is used for driving the second intelligent module to execute processing logic corresponding to the consultation question so as to respond to calling of the first intelligent module. Based on the implementation mode, in a scene of cooperation of a plurality of intelligent modules, the target work order object of the track record type is adopted to bear the action records of the intelligent modules, and the track service component is enabled to publish the event messages according to the action records, so that an information intercommunication channel between the intelligent modules is opened, and the information intercommunication efficiency is improved. And calling among the intelligent modules can be triggered in an event-driven manner, so that collaboration among different intelligent modules is more efficient.

The present invention discloses a method for implementing ferry cruising based on the intelligence of drone swarms. This method addresses the problem of how to achieve information exchange and comprehensive integration between combat zones when mobile base stations are damaged in the field battlefield. The method establishes a drone swarm ferry cruising network, deploys ferry drones to cruise between zones and communicate with relay drones in each zone, releases computing resources or collects data in real time and uploads it to low-orbit satellites, and achieves an optimal method for the total delay of the ferry system. The present invention includes the ferry drone selecting a path based on the concentration of volatile information factors, iterating and gradually accumulating information factors on high-quality paths until the optimal route to the target is finally obtained, optimizing the hovering position of the ferry drone when transmitting with the relay drone, and calculating the optimized hovering position in three-dimensional space using similar attributes. Finally, the optimal cruising path for the ferry drone and the drone charging station is achieved, achieving efficient transmission and integration of battlefield information.

The invention discloses a monitoring and early warning method and system based on multi-dimensional collaborative risk identification, and relates to the technical field of monitoring and early warning, and the system comprises an acquisition module, a data multi-dimensional fusion module, a data analysis module, a risk assessment module, an early warning release module, and an information push module. According to the monitoring and early warning system for multi-dimensional collaborative risk identification, the number of products required in the next period can be estimated in time, the required number of products can be produced according to the estimated number of products, whether the batch of products can be finished within the specified time or not can be warned in advance, and the production efficiency is improved. Meanwhile, information intercommunication is carried out on the production conditions of low-end, medium-end and high-end products, the equipment use condition and personnel transfer are faster, the number of produced products adapts to and meets the pre-estimated product number, the situation that the product number exceeds the market demand, products are unsalable and overstocked is prevented, the situation that the product number cannot meet the market demand is also prevented, and the product quality is improved. And product shortage and customer loss are caused.