328 results about "Central management" patented technology

The invention discloses a self-adaptive management method and system for intelligent terminal equipment of a distributed power distribution network. According to the method, a self-organizing peer-to-peer communication network covering the whole network is constructed, and neighbor discovery and information sharing among intelligent terminal devices are achieved; the terminal independently completes control instruction calculation based on the local electrical parameters and a preset multi-objective function and optimizes an area control effect through a cooperation mechanism; introducing a self-adaptive adjustment strategy of a control algorithm; when abnormal operation is detected, the terminal can autonomously complete fault positioning and isolation, and power supply recovery is realized based on standby path judgment or micro-grid switching; the central management unit periodically carries out acceptance capacity evaluation, and terminal model parameters are aggregated in a federated learning mode; the terminal has an edge autonomous capability, and can maintain local control and data retention when communication is interrupted. The system has the characteristics of quick response, flexible structure, intelligent cooperation, high adaptability and the like, and is suitable for intelligent operation and management and control scenes of various types of power distribution systems.

The invention discloses an equipment fault early warning system and method based on the Internet of Things, and relates to the technical field of equipment fault early warning, and the method comprises the steps: collecting mechanical operation parameters and production process parameters of equipment, and setting each piece of equipment as an independent intelligent agent; establishing a three-level topological structure; based on the dual-threshold model, judging the running state of the equipment; when the equipment intelligent body detects that the equipment is abnormal, the equipment intelligent body immediately marks the state of the equipment intelligent body as abnormal and generates a feature code; the equipment intelligent agent receiving the feature code analyzes associated parameters in a process associated parameter atlas, and sends an analysis detection result to an adjacent equipment intelligent agent and a central management node; the central management node summarizes analysis results of all the equipment intelligent agents and judges the influence of faults on the fly ash recycling production process; and according to the severity and the influence range of the fault, performing graded early warning, and sending early warning information.

The invention discloses a government affair department knowledge base access authority control method based on a block chain, and relates to the technical field of block chains and information security, distributed nodes jointly participate in decision making, the performance bottleneck of a single control point and the single point fault risk are effectively eliminated, and the reliability and stability of a system are remarkably improved; when a plurality of departments need to collaboratively update a strategy, the intelligent contract based on the threshold multi-signature mechanism can automatically execute voting aggregation and a strategy effective process without depending on manual operation of a central administrator, so that the efficiency and the automation level of cross-department collaboration are greatly improved, and the instantaneity and the consistency of strategy change are ensured; the inherent non-tampering and traceable characteristics of the block chain provide powerful auditing guarantee for the whole authority management process; and each policy update request, voting process, final decision and policy version switching are completely recorded on the chain to form a non-repudiated audit clue.

The invention discloses a real-time data stream processing method for multi-device collaborative management of a dome cinema, which relates to the technical field of cinema device data management, and comprises the following steps of: establishing communication connection between a central management node and a plurality of playing devices, collecting device identifiers, projection area numbers and geometric position parameters of the playing devices, and establishing a central management node; generating an equipment mapping relation table; realizing local clock correction of the playing equipment based on a unified time synchronization protocol; the central management node generates a control instruction stream according to the equipment mapping relation and the playing content, the instruction stream comprises space frame distribution information and fusion control parameters, and the space frame distribution information and the fusion control parameters are distributed to the playing equipment through communication channel numbers; and the playing device completes image geometric transformation and edge fusion processing according to the received control instruction and then executes synchronous playing. According to the invention, multi-device automatic mapping is realized, the time synchronization precision is improved, the image playing is coordinated and consistent, and the collaborative display capability and the playing stability of the dome cinema are improved.

The invention discloses an installation method of a server operating system, a server management system, a storage medium and an electronic device, and relates to the technical field of server operating system management.The method comprises the steps that an operating system installation package corresponding to a central processing unit architecture type of a to-be-installed server is selected from preset operating system installation packages, installing the operating system installation package in the to-be-installed server; a configuration file obtained by analyzing a configuration instruction of the target object is obtained, an installation script is generated by using configuration parameters in the configuration file, and the configuration instruction is received through a central management interface of the server management system; and executing the installation task of the installation script so as to configure the operation system installed by the to-be-installed server, and by adopting the technical scheme, the technical problem that the installation efficiency of the operation system of the server is low when the server is oriented to servers of different CPU architecture types is solved.

The invention discloses a tunnel lining construction full-process intelligent monitoring and early warning platform, which relates to the technical field of tunnel construction intelligent monitoring and comprises a field sensing unit, an edge computing unit and a central management center. According to the invention, the field sensing unit synchronously acquires multi-source data template stress, template deformation, template displacement, surrounding rock and environment parameters and personnel and equipment positioning, and displacement sensors are alternately arranged to realize temperature drift correction, so that the data precision is improved; through fusion of a dual-spectrum camera and an ultra-wideband label, sub-meter personnel positioning precision and safety protection article identification are realized in a low-illumination environment, a full-dimension sensing network covering physical states, environments and behaviors is formed, and an edge computing unit adopts an embedded chip to provide computing power. And multi-modal feature fusion and physical consistency constraint deep learning reasoning are executed, an online change point detection mechanism is introduced to dynamically adjust an early warning threshold value, and different geological conditions and construction stages are adapted.

The invention relates to an energy-saving control strategy for a medical building air-conditioning ventilation system based on climate change characteristics and load prediction. The energy-saving control strategy comprises the following steps of: acquiring all original data by utilizing various sensors, actuators and the like of a sensing layer; calculating, optimizing and deciding on an intelligent control layer (including building comprehensive cooling and heating load prediction, clean operation department area cooling and heating demand calculation, dynamic water supply temperature optimization, a particle swarm optimization (PSO) algorithm for domain optimization, constraint check and other algorithm modules) on a central management server; and an optimization result is issued to the execution layer and the executed equipment layer, so that energy-saving control is finally realized. The method overcomes the defects that the existing hospital building load prediction technology mostly adopts a macroscopic and rough prediction model, and the global optimization particle swarm optimization algorithm is slow in convergence and long in solving time when coping with a large medical building adopting multiple types of cold and heat source equipment. The device is suitable for large-scale hospital projects in hot-summer and warm-winter areas.

A central management component deployed in a cluster of broadband network gateways (BNGs) balances load among subscribers through the cluster by monitoring subscriber states comprising usage of the BNGs based on load parameters to detect an overload condition on any BNG. In the event of an overload condition, the component performs a horizontal sharding operation to move at least some access load from the overloaded BNG to an underutilized BNG. Sharding separates a large group of BNGs into smaller and more numerous BNGs by reassigns one or more subscribers among the gateways. A load balancer applies rules to re-direct traffic based on a defined load balancing rule using one of: preference, present load, proximity, and operating characteristic.

The invention discloses a warehouse management system, and relates to the technical field of warehouse management. The warehouse management system comprises an intelligent inventory monitoring module, a central management module, an Internet of Things platform, a mobile client terminal and an automatic warehouse-in and warehouse-out management module, the central management module realizes real-time decoding based on an RFID technology, and decoding information after real-time decoding is transmitted to the intelligent inventory monitoring module through the Internet of Things platform. The intelligent inventory monitoring module completes checking of transmitted decoding information based on a monitoring result, and the automatic warehouse-in and warehouse-out management module completes intelligent comparison of adjacent frames of images based on the image intelligent analysis unit. According to the invention, through the inventory unit and the central management module, the central management module realizes real-time update response when materials are put in and out of a warehouse, manual intervention is reduced through the image intelligent analysis unit, and manual auditing is used as a final mode of real-time decoding times and put-out-of-warehouse quantity, so that the accuracy of put-in and put-out-of-warehouse statistics and update is ensured.

The invention belongs to the technical field of laboratory equipment management, and provides a laboratory equipment tracking system based on RFID and Bluetooth, an RFID reader-writer and a Bluetooth receiver are respectively arranged in a laboratory, and each piece of equipment in the laboratory is equipped with an RFID tag or a Bluetooth tag; and the central management module is configured to collect and process data from the RFID reader-writer and the Bluetooth receiver, and calculate the real-time position of each device in the laboratory according to the signal intensity and the position of the reader-writer or the receiver. The laboratory equipment management system has the advantages that real-time positioning, management and monitoring of the laboratory equipment are realized through hardware arrangement, system integration and data management, the management efficiency of the laboratory equipment can be effectively improved, and the risks of equipment loss and use management are reduced.

The invention discloses a robot dog-based cable tunnel autonomous supervision system and method, and relates to the technical field of intelligent inspection, and the method comprises the steps: collecting tunnel environment data, cable data and image data, optimizing the image data through an image enhancement method, and transmitting the optimized image data to an edge calculation unit; performing real-time processing on the environment data, the cable data and the image data, performing fault mode identification by using a depth generation model, and predicting fault types, positions and severity; and comparing the adjusted repair parameters with the image data, determining whether the fault is completely repaired, generating an inspection report by using an intelligent learning mechanism, uploading the inspection report to a central management platform, and performing path optimization on the inspection task through analysis and decision. According to the method, the depth generation model combining the variational auto-encoder and the recurrent neural network is applied to multi-dimensional input data processing, so that the problem that multiple data dimensions cannot be comprehensively considered in the prior art is solved.

The invention discloses a multi-agent-based attack threat analysis method and related device, and the method comprises the steps: collecting original data, carrying out the preprocessing of the collected original data, and obtaining the preprocessed original data; carrying out attack threat analysis on the preprocessed original data through an edge agent; when the attack threat analysis of the edge agent on the preprocessed original data is unsuccessful, generating a high-priority analysis request according to the preprocessed original data; the attack threat analysis is carried out through the central agent according to the high-priority analysis request. The method and the related device can avoid the problem caused by the fact that a central management node is relied on to carry out final correlation analysis and decision making.

The invention discloses a storage robot cluster management system and method, and belongs to the technical field of robot scheduling. The system comprises a central management server and an autonomous mobile robot cluster. The central management server comprises a congestion prediction and global path planning module; the congestion prediction and global path planning module comprises a congestion prediction sub-module and an A * path planning sub-module with space-time cost; the autonomous mobile robot is internally provided with a multi-sensor sensing and communication module and a local decision module, and the off-line centralized training platform is used for optimizing the local decision module in each autonomous mobile robot through a centralized evaluation network with global information in a simulation environment. The invention provides a hybrid control architecture integrating global path planning, dynamic task allocation and local real-time decision based on multi-agent reinforcement learning, and efficient and smooth cluster collaborative operation can be realized.

The invention relates to the technical field of computer system simulation, in particular to a simulation system based on a hierarchical transaction-level modeling protocol. The simulation system based on the hierarchical transaction-level modeling protocol comprises a control module, a data module and an adaptation module, the control module is a central management unit, is connected with the data module and the adaptive module through a control bus, and is used for managing load information of each node and realizing a time sequence management mechanism; the data module is a core communication hub, comprises a transaction-level modeling protocol stack and is connected with the adaptation module through a transaction bus; and the adaptive module is an equipment interaction layer, comprises a protocol conversion unit, is connected with the external simulation module or equipment through the corresponding protocol conversion unit, and is used for converting a signal connected with the physical bus into a transaction bus signal. According to the simulation system based on the hierarchical transaction-level modeling protocol, the simulation time precision is improved, the expansibility is improved, and the development and maintenance cost is reduced while the simulation efficiency is effectively improved.

The invention provides a tunnel safety detection method based on unmanned aerial vehicle communication and charging facility integration, and relates to the technical field of tunnel safety detection. According to the method, a signal relay module, a wireless charging module and a telescopic take-off and landing platform are integrated through integrated equipment and are embedded into the side wall of a tunnel for deployment, and the problems that a traditional split type device is unstable in signal, insufficient in endurance, large in occupied space and the like are solved. After receiving the inspection task issued by the central management platform, the unmanned aerial vehicle flies along a preset path and collects environment data in real time; when the electric quantity is insufficient, the platform dynamically dispatches the nearest integrated equipment, the unmanned aerial vehicle accurately lands to the telescopic take-off and landing platform through laser radar and visual identification, the wireless charging module starts charging, and meanwhile the signal relay module returns data. After charging is completed, the platform generates a new task instruction, and the unmanned aerial vehicle continues to execute remaining inspection.

The invention discloses a distributed intelligent wireless control system for port lighting, which relates to the technical field of intelligent lighting and control and comprises a central management platform, a plurality of regional intelligent controllers and a plurality of lighting terminal nodes, according to the system, the terminal nodes are endowed with the capability of autonomously deciding and arbitrating based on local sensor data, a set of multi-source decision and instruction arbitration logic is operated by the built-in first processing unit of each lighting terminal node, so that the intelligent decision is physically close to an event occurrence point, the response delay is greatly shortened, and the efficiency is improved. And a collaborative algorithm module in the regional intelligent controller accurately predicts a path in a short time in the future based on real-time data reported by a moving object, calculates an illumination coverage range, dynamically determines a lamp set needing to be activated and turned off, generates a personalized control instruction for each lamp in the set, and controls the lamp to be activated and turned off. Therefore, smooth attenuation transition of illumination intensity in space is realized.

The invention discloses an intelligent management method for a parking lot, and the method comprises the following steps: S1, vehicle recognition: collecting the image information of a vehicle when the vehicle enters an entrance of the parking lot, and recognizing the identity information of the vehicle through a license plate recognition system; s2, vacancy detection: acquiring the occupation state of each parking space in the parking lot in real time, and uploading the vacancy parking space information to the central management system; s3, path recommendation: the central management system calculates an optimal parking path according to the vehicle entrance position, the real-time parking space information and the traffic flow direction of the parking lot, and pushes guide information to a navigation display screen at the entrance or a user mobile phone terminal; and S4, charging and payment: before the vehicle leaves, the parking fee is automatically calculated according to the entrance time and the exit time, the problems of inaccurate identification, inflexible guidance, inconvenient payment, opaque management and the like in the prior art are solved, and the user experience and the parking resource utilization efficiency are remarkably improved.

The invention discloses a municipal road monitoring method and system based on an edge computing technology, and relates to the technical field of signal processing. The method comprises the steps that road edge nodes collect data through optical, vibration and infrared sensors, and the pavement crack index and the real-time traffic flow are calculated in parallel; fusing environment temperature and humidity data, weighting to generate a road health initial judgment value, and triggering a dynamic threshold alarm; exchanging initial judgment values at adjacent nodes through a low-power-consumption Mesh network, jointly calculating the regional-level traffic flow density and road surface damage association degree, and generating an encrypted regional road state feature vector; the central management platform aggregates the regional feature vectors, calculates a road comprehensive health score and an early warning weight coefficient in combination with a historical baseline, generates a self-adaptive dredging strategy and issues the self-adaptive dredging strategy to an edge node; according to node load and energy consumption data, the sampling frequency of the sensor is dynamically adjusted, and the crack recognition model is updated. According to the invention, the road state monitoring real-time performance and the early warning accuracy are obviously improved, and the data transmission energy consumption is reduced.

The invention discloses a business self-service handling terminal based on social security and an intelligent management method, and relates to the technical field of data processing and analysis, and the method comprises the steps: building an integrated business processing platform, and integrating various social security business rules and processes; real-time connection with a social security policy issuing system is established, and the platform automatically acquires latest policy information based on changes of social security policies; through a preset rule engine, automatically adjusting the business process and the handling requirement according to the latest policy; a standardized communication interface and a data format are adopted, so that real-time sharing and interaction of data are realized by self-service handling terminals of all regions and departments; a central management server is established, and all terminal devices are managed and monitored in a unified mode. Through multi-service integration, real-time connection, the rule engine, the standardized interface and the central management server, the efficiency, convenience and safety of social security service self-service handling are improved, and the adaptability and the cross-regional cooperation capability of the system are enhanced.

The invention relates to the technical field of asset management, and discloses a quality inspection lock management method, which comprises the following steps of: automatically recording receiving and returning events of an intelligent key through an intelligent key fixation management unit; performing authority verification on the intelligent lock by taking the intelligent key as a certificate with a unique identifier; an opening / closing operation event is recorded through the intelligent lock, an abnormal state is monitored through the integrated sensor module, and early warning information is reported; various event information from the devices is received and integrated through the central management platform, a lockset event ledger is automatically generated, and a traceable complete event chain is constructed. The invention further comprises an intelligent sample delivery linkage system which is used for recording a sample delivery event and reporting the sample delivery event to the platform. According to the invention, digitization, automation and whole-course traceability of the quality inspection lock management process are realized, the data accuracy, the management efficiency and the safety are remarkably improved, and a responsibility tracing mechanism is strengthened.

The invention relates to the technical field of internet of things and intelligent security and protection, and discloses a fire-fighting access control management method and system based on the internet of things, and the method comprises the following steps: constructing a multi-stage internet of things access control architecture; establishing and encrypting a user identity data structure in the central management unit; collecting multi-modal biological characteristics and calculating a similarity score; constructing an identity relation graph and calculating a passage score based on a graph neural network; and finally, generating passage judgment by combining the static permission, the behavior deviation and the scoring result. In the prior art, each building access control system depends on independent deployment and lacks a unified identity authentication mechanism, and especially under the conditions of cross-building passage and dynamic permission change, intelligent linkage management is difficult to realize. According to the access control system, a hierarchical framework is constructed, and a multi-mode biological recognition fusion and graph neural network scoring mechanism is introduced, so that distributed authentication and centralized access control state management are realized, and the safety and management efficiency of the access control system in a multi-building environment are improved.

An intelligent construction robot management and control platform cooperation system comprises a central management and control platform, a path planning module, a work order task module, a material supply module, a multi-machine cooperation module and an intelligent construction robot, and is characterized in that the central management and control platform comprises the work order task module, and the path planning module plans an optimal path for a robot executing a task; the work order task module obtains related information from the database, the material supply module monitors the material consumption condition of each robot in real time, the multi-machine cooperation module can reasonably arrange the multiple robots to execute different tasks at the same time, and the intelligent building robots comprise ground leveling robots. The intelligent building robot management and control platform cooperation system and the control method have the advantages that the construction efficiency and quality are improved, the stability of the construction process is ensured, and cooperation among people, system, machine and machine is achieved.

The invention belongs to the technical field of agriculture, and discloses a collaborative scheduling and path planning system. The collaborative scheduling and path planning system comprises an unmanned vehicle system, an unmanned aerial vehicle cluster system and a central management platform, the central management platform is in communication connection with the unmanned vehicle system and the unmanned aerial vehicle cluster system, and is used for realizing cooperative scheduling and path planning of the unmanned vehicle system and the unmanned aerial vehicle cluster system, realizing function complementation and reasonable task allocation of the unmanned vehicle and the unmanned aerial vehicle cluster system through a cooperative scheduling mechanism of the central management platform, and meanwhile, realizing path planning of the unmanned aerial vehicle and the unmanned aerial vehicle cluster system. Based on the dynamic task allocation strategy of the improved Hungary algorithm, the task load can be adjusted in real time according to the residual electric quantity and the operation capability of the equipment, the energy consumption cost is reduced by 15-20%, and the operation efficiency and the resource utilization rate are improved.

An intelligent system for real-time management and documentation of volunteer activities in the community, consisting of: A portable volunteer device configured to collect real-time geographic coordinates via an integrated GPS module; a wireless communication module embedded in the volunteer device to transmit the collected geographic data to a central, cloud-based management server; an artificial intelligence engine hosted on the central management server, configured to dynamically assign and reassign volunteer tasks based on received geographic data, volunteer availability, skill profiles, and task priorities; an anomaly detection module operable within the artificial intelligence engine, wherein the anomaly detection module is configured to detect deviations from predefined behavior patterns, including, but not limited to, prolonged inactivity, route deviations, and incomplete task completion; and a documentation subsystem configured to automatically generate and securely store detailed logs of volunteer activities, including time-stamped GPS trails, task completion status, and system-generated alerts, with the documentation subsystem enabling real-time auditability and role-based access to stored data.

The invention discloses a container processing method based on edge cloud and a related device. The method comprises the following steps: maintaining a container identifier set by an interface plug-in when a container runs on the edge device so as to indicate the container which is limited to be reestablished on the edge device; when the central management and control system sends a container reconstruction request carrying the first container identifier to the edge device, the edge device receives the container reconstruction request carrying the first container identifier sent by the central management and control system through the interface plug-in; judging whether the first container identifier belongs to a container identifier set or not so as to judge whether the container reconstruction request represents reconstruction of a container subjected to limited authorization reconstruction or not, and if yes, reconstructing the container corresponding to the first container identifier according to the container reconstruction request through the interface plug-in to obtain a first reconstruction result; and if not, intercepting the container reconstruction request through the interface plug-in. According to the method, unexpected and large-scale container reconstruction operation on the edge device caused by unexpected user operation and native component autonomous decision is avoided, so that the service quality of the edge device is improved.

The invention relates to the technical field of control and regulation systems, and discloses an LED energy-saving lamp internet-of-things control system with an edge computing function, which comprises a central management platform, an edge computing gateway and an LED energy-saving lamp control terminal, and the edge computing gateway processes environment sensing data in real time and generates a dimming instruction through a local decision engine and a collaborative scheduling algorithm, constructs a regional autonomous control subnet to realize lamp collaborative control, and improves illumination continuity and system robustness through a cross-gateway collaboration and local cache mechanism. According to the invention, cloud dependence and bandwidth requirements are reduced, visual flicker is eliminated, and accurate energy consumption control is realized.

The invention provides a machine tool machining cutter centralized management and control method, which comprises the following steps of: acquiring measurement data of a cutter, and writing the measurement data into an electronic tag of the cutter; creating a central management system database according to the tool initialization data; according to the model of a machined workpiece, a corresponding tool scheme is called from the central management system database, a tool table of a current machine tool magazine is obtained, the tool changing requirement of each tool position is calculated, tool changing operation is executed according to the tool changing requirement of each tool position, and data updating is conducted on the central management system database after tool changing; and based on the type of the current processing workpiece, the cutting time and the processing quantity, obtaining an estimation result of the residual life of the current processing cutter, updating the electronic tag, and sending cutter updating reminding information when a life threshold value is reached. According to the invention, through centralized intelligent management and control of the tools, tracking, intelligent scheduling and optimized use of the tools in the whole life cycle are realized, the processing efficiency is improved, the product quality is guaranteed, and the production cost is reduced.

The invention discloses an automatic driving non-signalized intersection traffic conflict control method based on a space-time network, and the method comprises the steps: carrying out the preprocessing: determining an intersection traffic conflict control range, and carrying out the grid division, after the vehicle arrives at the control area, the speed, the position, the acceleration, the lane entering time, the intentional steering time and the intersection control area time of the vehicle are reported to the central manager; a request is sent when the vehicle arrives, and the central manager judges whether the vehicle is allowed to enter; solving the space-time network control model and the trajectory reconstruction model, and feeding back the specific driving trajectory to the vehicle; the vehicle runs according to the running track fed back by the central manager and safely passes through the intersection; according to the invention, the path of the autonomous vehicle at the intersection is changed based on the path of the unconventional intersection, and the traffic conflict control of the non-signalized intersection in the pure automatic driving environment is explored, so that the traffic efficiency of the intersection is better improved.

The invention relates to the technical field of a wireless water leakage detection and alarm method used in a building, and discloses a wireless water leakage detection and alarm method and system used in a hidden space in the building. The technical problems that in the prior art, in a complex electromagnetic environment, wireless signal transmission stability is poor, durability of a water leakage sensor is insufficient, and the accurate positioning capacity of a water leakage position is poor are solved. According to the method and system, a distributed water leakage detection unit, a wireless data gateway and a central management platform are included, and accurate positioning of water leakage and intelligent water source identification are achieved. By adopting the technical scheme, the problems of signal robustness and sensor durability can be effectively solved, accurate positioning of water leakage and water source inference are realized, response time is shortened, loss is reduced, and building safety management is improved.

The invention discloses a centralized control operation and maintenance system and equipment of a transformer substation and a storage medium. A central management module is used for analyzing and integrating data, generating a scheduling instruction and distributing the scheduling instruction to a corresponding module, and evaluating the health condition of the equipment; the substation intelligent inspection module is used for planning an inspection route for the inspection robot and acquiring inspection data; monitoring the operation environment, the equipment state and the gas information of each equipment; the high-voltage cable fault early warning module is used for monitoring the temperature, the sheath ring current, the operating environment and the partial discharge value of the high-voltage cable; the electrical monitoring module is used for acquiring operation data of a power system and carrying out abnormity monitoring; the fault recording module is used for recording the change waveform of the operation data before and after the abnormity according to the alarm information / abnormity monitoring result; and the electrical anti-misoperation module is used for carrying out simulation rehearsal and logic judgment on switching operation. The problems of large workload, low efficiency, low accuracy and influence on human health due to the fact that an existing inspection, operation and maintenance method of the transformer substation is mainly completed manually are solved.