96 results about "Integrated management system" patented technology

The invention relates to the technical field of enterprise data management, in particular to a lightweight-based enterprise data dynamic integrated management system, which is characterized in that an acquisition module is used for deploying edge computing nodes, receiving multi-source heterogeneous information streams from manufacturing execution systems and equipment logs, dynamically analyzing and standardizing the information streams, and adding metadata tags; uploading is carried out in a batch processing mode; the map construction module is used for constructing a semiconductor blood relationship map by taking the standardized key information as a blood relationship clue; a graph database is used for efficient storage, and a RESTful API interface is configured to support batch import, so that data storage and relevance expression are more flexible and efficient; the prediction module performs reasoning on the atlas by adopting a graph neural network to generate predictive risk distribution, and a correlation analysis set generated by the prediction module is stored back to the atlas in a structured manner; by introducing a multi-thread concurrent write-in and lock mechanism, the atlas supports complex combination query based on a Cypher query language, and supports multi-level and traceability query.

The invention relates to the technical field of intelligent heat supply management, in particular to an intelligent heat supply integrated management system based on multi-source data driving, which comprises a multi-source data acquisition module for acquiring multi-source data of each target heat supply area of a heat supply network; the key delay time extraction module is used for acquiring the adjustment condition of the heat supply control data to generate key delay time; the sensitive parameter identification module is used for determining a heat supply adjustment sensitive parameter and a heat supply response sensitive parameter based on the key delay time; the characteristic interval analysis module is used for determining a change trend characteristic interval based on a pre-change trend corresponding to the change characteristic interval; the pre-adjustment time determining module is used for determining a plurality of pre-adjustment times based on the change trend characteristic interval; and the pre-adjustment time calling module is used for acquiring the real-time multi-source data of the heat supply network to determine whether pre-adjustment is started or not, and determining the pre-adjustment time. The response speed and the adjusting precision of the heat supply system are improved.

The invention relates to the field of MCP protocol integrated management, in particular to an MCP integrated management system and method supporting multi-task collaboration, and the method comprises the steps: completing the deployment of one or more service instances according to the communication mode of an MCP Server through employing a corresponding deployment strategy, and registering the metadata of the MCP Server and the information of the service instances into a resource library; creating a personal cooperation space and a team cooperation space, and configuring role permissions for members of the team cooperation space; generating a workflow definition containing task execution logic; according to the workflow definition, creating and executing a corresponding workflow instance, and feeding back an execution state in real time; receiving a calling request for the managed MCP Server, and carrying out load balancing routing and protocol conversion to realize seamless calling of the third-party MCP service; the requirements in different scenes are met, and the flexibility and efficiency of cooperation are improved.

The invention relates to the technical field of information integrated management, in particular to a hospital information integrated management system, which comprises the following steps of: acquiring communication time delay, bandwidth and queuing cost among service nodes, and performing comprehensive calculation and optimal path screening on multiple paths by using a Dikstra algorithm; according to the method, cost-minimized dynamic path planning is realized, a shortest cost path can be efficiently determined under a complex network topology, and failure range calculation and multicast synchronization are executed through hit judgment and a conflict key value updating algorithm in combination with a segmented transmission and block allocation strategy. In the access behavior analysis, trend prediction is performed by counting the access frequency of medical records and prescription sequences and combining a long-short-term memory network model, and the access priority and the capacity threshold are dynamically adjusted, so that the balance of task scheduling and the real-time performance of response are kept during load fluctuation, a traceable cluster recovery index is formed, and the service life of the cluster is prolonged. And stable transmission and intelligent scheduling of cross-system data can still be kept in a complex environment.

The invention discloses an intelligent integrated management system for building construction quality and safety, which relates to the technical field of industrial safety system services, and is characterized in that each batch of raw materials and each key component are endowed with a unique digital identity label, so that the unique digital identity label becomes a unique mapping which cannot be tampered by a physical entity in the digital world; in the subsequent circulation process, any data such as quality detection, construction operation, environmental parameters and personnel information are bound to the identifier through the Internet of Things equipment and the edge gateway, and the data packets with the digital identifier are submitted to a block chain consensus network jointly maintained by suppliers, construction, supervision, construction and the like for evidence storage. The distributed account book and consensus mechanism of the block chain ensures that the data submitted by any party can be permanently recorded only after being verified by other participating nodes, thereby ensuring the authenticity and integrity of all key quality records.

The invention relates to the technical field of building energy collaborative management and renewable energy grid-connected regulation and control, in particular to a ground source heat pump and solar photovoltaic integrated management system based on multi-energy complementation, which comprises a data acquisition module for acquiring a data output real-time operation data set. The multi-time scale prediction module generates a prediction curve and calculates a time sequence matching degree index. And the energy coordinated optimization module constructs a decision model by taking maximization of renewable energy local consumption as a target, and generates a storage battery charging and discharging instruction and a heat pump adjusting instruction according to a matching degree index. The execution control module converts the instruction into an equipment-level operation signal, controls the operation of the photovoltaic inverter, the heat pump frequency converter and the storage battery management system, and collects equipment state data and feeds the data back to the data collection module to form closed-loop control. Through multi-time scale prediction and real-time optimization scheduling, the problem that photovoltaic power generation intermittency is not matched with a building thermal load time sequence is effectively solved, and the energy utilization efficiency is improved.

The invention relates to the technical field of intelligent water affair management, and discloses a comprehensive management system for intelligent water affair. The system comprises a hydrological data acquisition module, an abnormal feature recognition module, a correlation analysis module, a grading early warning module and a decision output module. The hydrological data acquisition module acquires data such as water quality and water flow velocity of multiple monitoring points to generate a hydrological feature set; the abnormal feature recognition module extracts abnormal indexes and topological information to form a pipe network abnormal feature distribution diagram; the correlation analysis module analyzes the pollution diffusion path and generates an abnormal correlation analysis result; the grading early warning module divides risk grades and outputs an early warning parameter set; and the decision output module generates a partition regulation and control instruction and a resource allocation strategy. According to the system, comprehensive monitoring, accurate abnormity identification, scientific analysis and association, reasonable early warning and efficient decision making of the water supply pipe network are realized, and the intelligent water affair management level is improved.

The application relates to the technical field of system integration management, and discloses an application system integration management system and method based on artificial intelligence. The system obtains integration requirements of application systems through an information acquisition module; a compatibility analysis module analyzes compatibility between systems to generate a preliminary integration scheme in combination with the integration requirements and a pre-trained artificial intelligence model; a preliminary configuration module configures data conversion rules and interaction protocols between systems according to the scheme, and outputs a preliminary configuration result; an integration acquisition module completes preliminary integration based on the configuration result, synchronously acquires state data and abnormal information in the integration process; a state feedback module feeds back the data to the artificial intelligence model; and a scheme optimization module optimizes the preliminary scheme by means of the model after feedback, and obtains an optimized integration scheme. The application effectively solves the problems of low efficiency, poor accuracy, insufficient integration stability and high maintenance difficulty caused by the lack of real-time feedback and dynamic optimization in the prior art, which are caused by the fact that application system integration relies on manual operation.

This invention provides a real-time stability control device suitable for new energy grid-connected systems, relating to the field of new energy grid-connected control. This real-time stability control device for new energy grid-connected systems includes a power grid system, a communication system, a wind power integrated management system, and a wind power inter-regional consumption system. The power grid system includes a main grid, distribution network, wind farms, electrical equipment, and transmission lines. The wind farm includes wind turbines, generator sets, and substations. The communication system consists of a GPS system, a dispatch center, a power dispatch data network, network switches, and a wind power integrated management communication terminal. By combining the wind farm aggregation station with the conditions of wind farms in various regions, inter-regional transmission lines are selectively activated. When a region reaches a low-load period, the electricity generated by the wind farms in that region is transmitted inter-regionally to regions with high load during that period, effectively avoiding excessively high wind curtailment rates and contributing to grid stability.

To solve the problem that automation of immunoassays presents a series of challenges such as repeatability and / or reproducibility which remains goals for all automated assay systems.SOLUTION: The present invention relates to a method, a device, and a system for associating consumable data with assay consumables used in biological assays. Provided is an assay system and associated consumable, where the assay system adjusts one or more steps of an assay protocol based on consumable data specific to the consumable. Various types of the consumable data and a method of using such data in execution of assays by the assay system are described. The present invention also relates to a consumable (for example, a kit and a reagent container), software, a data deployable bundle, a computer readable medium, a loading cart, a measuring instrument, a system, and a method for performing automated biological assays.SELECTED DRAWING: Figure 2

The invention provides an optical storage and charging intelligent homestay electric energy integrated management system based on the Internet of Things technology, and the system comprises a power grid access cabinet which is used for accessing commercial power; the plurality of load devices are configured in different rooms; the plurality of alternating current charging piles are configured outside the target service homestay; the energy storage device is bidirectionally and electrically connected with the string type inverter; the photovoltaic module is configured on the roof of the target service homestay, and the string inverter is used for converting photovoltaic direct current output by the photovoltaic module and energy storage direct current output by the energy storage device into alternating current for power supply; the electric energy meter is used for continuously counting the electric energy data of the string type inverter; and the controller is used for transmitting the electric energy data to a remote client and controlling the operation states of each load device, each alternating current charging pile, the energy storage device and the string type inverter according to a control instruction of an operator. The method has the beneficial effects that the electric energy waste phenomenon of the homestay can be reduced, economic benefits are increased, the energy-saving and emission-reducing effects are improved, and the new energy utilization rate is increased.

The invention provides an airborne comprehensive management system and method applied to a fire extinguishing medium putting platform. The system comprises an outer part system, a photoelectric operation handle, input equipment, a comprehensive management computer, data recording equipment and display equipment, the outer part system is used for acquiring real-time data of the airplane in a fire extinguishing medium putting task; the photoelectric operation handle is used for determining a shooting control instruction; the input equipment is used for receiving an external operation instruction; the comprehensive management computer is used for determining interface display information according to the state analysis result of each external system and the photoelectric sensing picture; determining a putting parameter according to the external operation instruction, and determining a putting control signal according to the putting parameter; the data recording equipment is used for storing the data; and the display equipment is used for displaying the interface display information. The airborne integrated management system provided by the invention can ensure the operation efficiency in emergency fire extinguishing rescue scenes such as forests, grasslands and mountainous regions.

The present application relates to a kind of steel enterprises gas-solid pollutant discharge integrated management system and method, belong to steel enterprises environmental management technical field.The system includes four modules of environmental protection digital map module, wisdom dispatching and path optimization module, risk early warning module and account management module.The method first establishes the information database of whole plant waste gas treatment, carries out unified coding naming and identity electronic tag transformation to the waste gas treatment facilities and its associated solid waste of each production unit, secondly, sorts out the solid waste utilization way, carries out information transformation to solid waste transport vehicle, metering system, then again access inspection system data, transfer warehouse inventory information and solid waste treatment unit's inventory information.The present application can realize the efficient management and control of whole process of atmospheric treatment and solid waste circulation by the treatment, management and control integration of gas-solid pollutant, improve the accuracy, timeliness and standardization of management.

The invention discloses a 5G network equipment integrated management system based on the Internet of Things, and the system comprises a data collection layer which is used for collecting the operation data and basic data of 5G network equipment in real time; the data processing layer is used for receiving the operation data and the basic data transmitted by the data acquisition layer and processing the operation data by adopting a preset rule and an algorithm so as to realize performance management, resource management and safety management of the 5G network equipment; and the data display layer is used for providing a human-computer interaction interface, displaying the operation state and the performance index of the 5G network equipment in various forms, and realizing visual management of the 5G network equipment. According to the invention, the operation data and the basic information of the 5G equipment are processed, so that the comprehensive management of the 5G network equipment is realized, different use requirements of users are met, and the intelligent comprehensive management of the 5G network equipment is realized more intelligently. Moreover, the management system provides a visualization function, and can improve the user experience.

The invention belongs to the field of artificial intelligence, particularly relates to a 24-hour unmanned retail software and hardware integrated management system fused with edge intelligence, and aims at solving the problems that an existing system is high in cloud dependence, low in recognition precision, high in operation and maintenance cost and the like. The system comprises an edge intelligent core processing terminal, a multi-modal global sensing matrix, a dynamic environment adaptive regulation and control module, a secure transaction and interactive verification unit and a cloud edge collaborative management platform, and realizes millisecond-level response, low misjudgment rate, high efficiency and energy conservation through localized AI reasoning, multi-source data fusion and adaptive regulation and control. And safe and stable operation of 24-hour unmanned retail is ensured.

This invention discloses a comprehensive wastewater treatment management system and method, belonging to the field of wastewater treatment technology. The method acquires historical water quality parameter sequences and real-time process parameters for each monitoring node; performs phase space reconstruction on the historical water quality parameter sequences to obtain the attractor trajectory matrix of each node; calculates the maximum Lyapunov exponent difference between nodes and constructs a dynamic correlation matrix; uses the dynamic correlation matrix to drive virtual particles to randomly walk in the node space, with the movement probability determined by the local entropy of the current node's attractor trajectory matrix; inputs the walking trajectory sequence into a deep neural network based on a residual structure to output the water quality exceedance risk index for each node at future times; and adjusts the operating parameters of the wastewater treatment equipment based on the risk index. This application can dynamically capture the nonlinear correlation characteristics between nodes, improving the accuracy and timeliness of risk prediction for wastewater treatment systems.

The application discloses a kind of low-power sensor power supply comprehensive management systems of strong environmental adaptability, including power supply channel and priority gating unit;Power supply channel includes solar power supply branch, rechargeable lithium battery energy storage branch and non-rechargeable bottom battery branch, priority gating unit includes RC delay network respectively in series on each power supply channel and voltage trigger switch connected at the output end of RC delay network, when at least two power supply channels have energy input simultaneously, the voltage rise rate of high priority channel is faster, and its voltage trigger switch is first turned on, and the channel is turned on to supply power for system;The application also discloses a kind of low-power sensor power supply comprehensive management method of strong environmental adaptability.The application solves the core pain point of wide temperature environment adaptation, and realizes the long-term maintenance-free stable operation of equipment.

The application relates to the field of water and electricity management, and discloses a smart water and electricity integrated management system and method based on digital twinning, wherein the smart water and electricity integrated management method based on digital twinning comprises the following steps: uniformly identifying and recombining operation objects distributed in water supply well groups, pump houses, water pools, pipe network nodes, and power stations at all levels, transmission and distribution lines and key load equipment; according to the operation characteristic differences of the water and electricity objects in the multi-layer entity mapping set, continuously running data are split into state sequences that can reflect the changes of emission guarantee loads; potential instability signs of key equipment under current task conditions are dynamically evaluated; when the digital twinning model identifies that there is an abnormal change trend between the water and electricity systems, related water supply units and power supply units are divided into linkage analysis objects according to spatial correlation and scheduling relationship; and the monitoring strategy and the control strategy of the water and electricity system are dynamically adjusted. The application has the advantage of improving the water and electricity guarantee safety during the emission task.

The invention discloses an insulator degradation analysis method, system and device and a medium, and the method comprises the steps: inputting the real-time inspection data of an insulator into a multi-task deep learning identification model which is obtained through introducing an insulator feature extraction branch and a cross-modal feature attention fusion branch into a backbone network of a YOLOv5 model, and carrying out the degradation identification; obtaining degradation state information, and importing the degradation state information into a power grid geographic information comprehensive management system; according to historical inspection comprehensive data and real-time climate data of the insulator, an inspection polymorphic layer of the insulator is constructed through the system, a multi-dimensional algorithm is adopted to analyze the degradation rule of the insulator, and a degradation risk analysis result is obtained; on the basis of a power grid geographic information integrated management system, insulator degradation identification, map positioning and multi-dimensional algorithm fault law analysis are combined, so that the utilization rate of insulator degradation state information is improved, and solid data support and scientific basis are provided for formulating a power grid operation and maintenance strategy.

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 application belongs to the technical field of vehicle thermal management, and discloses a temperature comprehensive management system and a control method thereof. The temperature comprehensive management system comprises a heat exchange pipe system, a passenger cabin heating pipe system, a passenger cabin refrigeration pipe system, a battery temperature control pipe system, an electric drive temperature control pipe system and a control pipe system. The control pipe system is connected between the passenger cabin heating pipe system, the passenger cabin refrigeration pipe system, the battery temperature control pipe system and the electric drive temperature control pipe system, so that the flow direction of the cooling liquid changes according to the operation mode of the temperature comprehensive management system. Through the temperature comprehensive management system, heat exchange can be realized between the refrigerant and the cooling liquid, and only three pumps and the control pipe system are needed to realize heat management of the passenger cabin, the battery and the electric drive system through a relatively simple structure, so that the system cost is relatively low, and the production cost of the new energy vehicle is reduced.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a deep learning model training integrated management method, which is operated in a Kubernetes cluster environment and is integrated with Juser Notebook as an interactive development and training platform, and comprises the following steps: S100, in response to a user instruction, creating a new training engineering project; s200, performing module dependence management on the training engineering project; s300, creating or cloning a model training workflow for the training engineering project; s400, configuring hyper-parameters and environment variables for each step of the workflow; s500, executing the workflow, capturing training index data, and storing the training index data in a log database in a structured manner; s600, based on the index data in the log database, generating an index comparison chart; the invention further provides a deep learning model training integrated management system, and the problems that a user frequently imports repeated modules, parameter distribution is disordered, training data logs are difficult to compare, and engineering cloning processing is tedious are solved.

The application discloses an AI machine room system and an intelligent operation and maintenance method thereof, and the system comprises a civil engineering module, a power supply module, an electromechanical module, a smart machine room SU system and a machine room integrated management system; the civil engineering module comprises an aerogel wall body, a prefabricated assembly type room body and a base station tower pole integrated structure; the power supply module comprises an intelligent PDU, an intelligent small bus, a photovoltaic system and a light storage system; the electromechanical module comprises an elastic heat bin, a self-cleaning intelligent fresh air system, an evaporative cold water curtain fresh air system, a non-powered air cap, a direct current heat exhaust system and a heat energy inter-row air conditioner; the smart machine room SU system comprises a personnel management unit, a device management unit, an environment management unit and an intelligent maintenance unit; and the machine room integrated management system comprises a data acquisition and monitoring unit, a data analysis and decision support unit, a resource optimization and scheduling unit and a safety control and early warning unit. The application solves the bottleneck problems of a traditional data center in terms of high energy consumption, high carbon emission, high operation and maintenance cost and low elastic expansion capacity.

The invention provides a claim settlement control method and system. According to the claim management and control method, an integrated management system of mobile terminal-equipment terminal (recorder)-server terminal is constructed, and field survey personnel are bound with the corresponding recorder, so that the server terminal can prevent illegal use of the recorder for video recording, and the consistency of equipment and personnel is ensured. By means of the communication function of the recorder, management personnel can remotely guide video recording operation of field survey personnel, and standardization, transparency and intellectualization of claim field operation are achieved. In addition, the server side also improves the risk management and control efficiency through technical integration (such as audio and video streaming media and an AI risk model), and reduces errors or risks caused by human factors. By means of the technical scheme provided by the invention, the problems of difficulty in vehicle insurance claim settlement field operation evidence solidification, difficulty in process supervision and difficulty in remote guidance can be effectively solved, and the accuracy and efficiency of vehicle insurance claim settlement are improved.

The invention provides a parking lot integrated management system based on visual positioning enhancement, and the system comprises a basic configuration unit which comprises a user authentication module and a parking lot configuration module, the user authentication module is responsible for the login, identity verification and authority management of all users, and the parking lot configuration module carries out the physical modeling of a parking lot, comprising the steps of defining areas, lanes, channels and key nodes and initializing base map data of a map; the data processing unit comprises a parking space management module and a visual positioning module, and the parking space management module monitors the state of each parking space in real time and realizes binding of the vehicle and the parking space; the visual positioning module receives the video stream, executes vehicle visual positioning processing and transmits data to the parking lot map module. According to the invention, the visual positioning enhancement module is introduced and deep data fusion is carried out on the visual positioning enhancement module and the parking lot map module, so that continuous, high-precision and lane-level positioning of a running vehicle is realized, and the problem of a driving blind area in a traditional system is effectively eliminated.

The air purification and disinfection system comprises a central processing system, the central processing system is connected with a purification and disinfection comprehensive management system, a purification and disinfection control system, a disinfection device driving system, an internet communication system and a wireless signal receiving and transmitting system, and the internet communication system is connected with a background terminal remote management system. And a car monitoring system is connected between the wireless signal transceiving system and the purification and disinfection integrated management system. According to the air purification and disinfection system for the elevator car, the car air quality monitoring system, the car monitoring system, the purification and disinfection control system and the purification and disinfection comprehensive management system are arranged, so that people coming from the car, the ventilation condition and the air quality condition can be conveniently monitored in real time; and monitored data are processed and analyzed, starting and stopping of the purification and disinfection device are intelligently controlled, the car can be better purified and disinfected, and the purification and disinfection effect is improved.

The present invention provides an Internet of Things integrated management system, which includes: an Internet of Things access subsystem and an Internet of Things management subsystem; the Internet of Things access subsystem is used to integrate the terminal devices corresponding to the Internet of Things subsystems and access them to the Internet of Things integrated management system, upload the data of the terminal devices to the Internet of Things management subsystem, and send the control instructions sent by the Internet of Things management subsystem to the terminal devices corresponding to the Internet of Things subsystems, so that the terminal devices perform corresponding linkage operations; the Internet of Things management subsystem is used to comprehensively manage the terminal devices access to the Internet of Things integrated management system; interact with the upper-layer application subsystem based on the open interface module, and send the control instructions to the Internet of Things access subsystem. The Internet of Things integrated management system provided by the present invention can achieve centralized management of the Internet of Things subsystems and effectively improve the efficiency of integrated management of the logistics Internet of Things subsystems.

The invention belongs to the field of construction project management, relates to a data analysis technology, is used for solving the problem that analysis cannot be carried out according to distribution characteristics of risk attribute monitoring results in different areas in the prior art, and particularly relates to a construction project comprehensive management system based on intelligent supervision. Comprising a region segmentation module, a single supervision module and a comprehensive evaluation module which are in communication connection in sequence, and the region segmentation module, the single supervision module and the comprehensive evaluation module are in communication connection with a database; according to the invention, through random segmentation mode selection of the region segmentation module, dynamic adjustment of region division is realized, so that the management region can be optimized according to actual risk feature changes; the single supervision module carries out time-phased monitoring and risk judgment on multi-dimensional risk attributes, and provides refined single risk assessment; and the comprehensive evaluation module integrates the regionalization result to carry out overall risk evaluation to form a risk view covering the whole region.

An integrated data management method according to an embodiment of the present invention comprises the steps of: collecting, by an integrated data management system, pieces of data generated in an additive manufacturing process; storing, by the integrated data management system, the pieces of collected data; and mapping, by the integrated data management system, the pieces of stored data to each other according to a preset schema structure. Accordingly, integrated management and utilization of data may be enabled by linking, by means of multi-dimensional mapping, heterogeneous data generated in an additive manufacturing lifecycle.

The present application relates to a kind of multi-test bench railway vehicle test data integrated management system, belong to railway vehicle test data management technical field.The data acquisition module of the system is based on adaptive matching mechanism obtains multi-test bench data and completes local pre-processing;Data processing module constructs data correlation rule, generates dynamic cross-test bench data correlation atlas, realizes multi-source data fusion and value-driven storage scheduling by hierarchical fusion strategy;Core management module generates test task scheduling scheme and completes priority adjustment, constructs digital twin mapping and generates whole-process traceability link;Interactive collaboration module generates adaptive data display scheme, pushes abnormal early warning and completes field operation interaction.The present application solves the problems of existing multi-test bench data integration, scattered management and poor traceability, realizes the standardization and intelligent control of whole-process railway vehicle test, and improves the test efficiency and data management reliability.