254 results about "Central management" patented technology

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 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 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 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 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 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.

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 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.

The invention provides an intelligent state early warning system and method based on multi-frequency ultrasonic waves, and belongs to the technical field of intelligent monitoring and fault diagnos.The intelligent state early warning system comprises a plurality of ultrasonic sensor modules, an intelligent situation system and a central management platform, the intelligent situation system is connected with the plurality of ultrasonic sensor modules, and the central management platform is wirelessly connected with the intelligent situation system; the plurality of ultrasonic sensor modules are used for detecting the state of target equipment in real time and transmitting detection data to the intelligent situation system, the intelligent situation system performs recognition and comparison by combining the searched sensor data and then transmits a recognition result to the central management platform, and the central management platform is used for receiving recognition and comparison result data and sending the recognition and comparison result data to the server. Maintenance services are provided for users in a data visualization and linkage operation and maintenance mode. According to the method, the early recognition capability is improved, the beforehand early warning is realized, and the continuous, lossless and online monitoring capability is realized.

The application discloses an intelligent management system for cultural relic specimen storerooms, which comprises storerooms classified into multiple storage areas according to cultural relic specimens, and multiple storage racks arranged in each storage area. Each storage rack is divided into multiple compartments by horizontal shelves and vertical panels, and a tray for placing cultural relic specimens is arranged on the corresponding shelf of each compartment. A weight sensor is arranged in the tray, a top camera is arranged above the tray, and a side camera is arranged on one side of the tray. An external camera is arranged beside the storage rack. An electronic label is arranged on each compartment. The weight sensor, the top camera, the side camera, the external camera and the electronic label are connected with a management server in a central management room of the storeroom. The application realizes accurate and efficient recording of the operation of the cultural relic specimen storage, improves the work efficiency, and is suitable for promotion.

The invention provides a railway tunnel lighting control system and method based on double-link communication, and belongs to the technical field of tunnel lighting control, and the system comprises a central manager, a data concentration manager, a scene controller and an intelligent lighting node. The central manager is used for issuing a dimming instruction and storing feedback node state data; the data concentration manager is used for executing active inspection, fault diagnosis, instruction priority arbitration and link adaptive switching tasks, the data concentration manager and the scene controller perform double-link communication through a first double-link, and meanwhile, the data concentration manager and the scene controller perform double-link communication through a second double-link, so that double-link combined communication of tunnel lighting control is realized. Meanwhile, the centralized data manager actively initiates state query to the intelligent lighting nodes in the jurisdiction range according to a first preset period, node state data is obtained, and active inspection of the intelligent lighting nodes is achieved. According to the invention, the communication fault probability is reduced, and the real-time performance and reliability of railway tunnel illumination control are improved.

The invention discloses an intelligent security and protection system based on Internet of Things, which comprises an intelligent comprehensive wiring subsystem, an intelligent security and protection terminal group, an intelligent central management system and an emergency guarantee module, and is characterized in that the intelligent comprehensive wiring subsystem comprises a transmission link and a distributed sensing line, the transmission link is used for two-way transmission of security and protection data, and the distributed sensing line is used for sensing the security and protection data; the distributed sensing circuit is used for monitoring a vibration signal in the weak current pipeline; the intelligent security terminal group comprises an edge computing device and a multi-mode identification device, the edge computing device is used for processing sensing data in real time, and the multi-mode identification device is used for collecting biological characteristics and environment information. Physical parameters such as cable vibration, plugging strength, temperature and humidity are monitored in real time, millimeter-level fault positioning and second-level early warning are achieved, a traditional manual inspection mode is abandoned, and a double-link redundancy design is combined with an electromagnetic pulse protection module and shielding cable common bridge deployment.

The invention specifically relates to a 4g highway intelligent traffic road condition monitoring system, and relates to the technical field of intelligent traffic. A data processing and analyzing module; a central management and scheduling module; and an information issuing module. According to the invention, a plurality of devices such as a microwave radar, a camera, a meteorological sensor and the like are arranged in the data acquisition module, so that multi-dimensional data such as traffic flow, vehicle states, environmental meteorology and the like can be acquired in an omnibearing manner; the data is deeply mined through the data processing and analyzing module, and congestion prediction, accident early warning and flow pre-estimation are realized by using algorithms such as LSTM (Long Short Term Memory) and Transform; in the peak period of festivals and holidays, a traffic dispersion scheme can be planned in advance based on historical data and flow prediction of real-time road conditions.

The invention relates to a train on-station running state monitoring and recognizing system, which comprises a front-end subsystem, a rear-end subsystem, a train number recognition node, a wheel temperature collection node and an audio collection node, and a train on-station running state monitoring and recognizing system, and is characterized in that the front-end subsystem is deployed outside the limits of two sides of a railway track; the background cluster server is connected with the front-end subsystem and comprises an image processing server, a deep learning server, a timing server, an early warning server, a wheel temperature analysis server, an abnormal sound analysis server, a video monitoring server and a center management server, and the background cluster server fuses multi-source data. Intelligent analysis of vehicle door abnormal opening, miscellaneous person climbing, wheel temperature over-limit and abnormal sound recognition is executed; and the driving room client is connected with the background cluster server and is used for providing a real-time monitoring, data query and early warning processing interface. The system solves the potential safety hazard existing in the train receiving and dispatching operation, reduces the labor intensity of station watchmen, improves the trafficability and transportation organization efficiency of the train, and improves the intelligent level of the railway train receiving and dispatching operation.

Systems and methods for managing communications between provider-specific computing resources and a central management platform are provided. A persistent connection is established between a management worker and the central management platform, which may be deployed in a first network. The management worker receives connection requests from agents of provider-specific computing resources, which may be deployed in a second network. A multiplexed message stream is established using the persistent connection in response to the connection requests. The management worker relays messages between the agents and the central management platform through the multiplexed message stream, enabling efficient communication across different networks.

The invention discloses an inter-plant light supplement lamp intelligent control system based on PWM dimming and wireless networking, and relates to the technical field of plant light supplement illumination control, and during operation of the system, the system comprises a central management server, a wireless communication gateway, an environmental data acquisition unit, an intelligent ventilation light supplement terminal, a distributed power supply management unit and a mobile monitoring terminal. The server generates a PWM control instruction based on the environmental parameters and issues the PWM control instruction to the intelligent terminal through the wireless gateway; and the terminal adjusts the light intensity of the LED array by using the PWM driving unit, and synchronously controls the active ventilation device to improve the microenvironment between plants. Through deep integration of PWM dimming and wireless networking, gridding management and control of the greenhouse environment are realized, the photosynthetic efficiency of the middle and lower parts of plants is effectively improved, the gas diffusion rate is enhanced, the system wiring cost and energy efficiency loss are reduced, and precise agricultural production is realized.

Systems and methods generate requests for encrypted (e.g., secured) credentials and data using one of a plurality of API plugins that are selected based on an access protocol for a network partition at which requested data is determined to be stored. Through the use of the dynamically-selected API plugins, the systems and methods may provide the aforementioned functions while being compatible with the different access protocols that may be encountered when providing central management across a diverse spectrum of user accounts, networks, and / or cloud platforms.

An integrated circuit (IC) device includes a functional circuit and a distributed management circuit that includes a plurality of configuration interface manager (CIM) circuits that receive respective programming partitions as configuration packets over a first communication channel (e.g., a network-on-chip or NoC), the configuration packets being configured to communicate with the functional circuit. And performing management operations on the respective regions of the functional circuit in parallel with each other based on the respective configuration packets, the management operations including providing configuration parameters to the respective regions of the functional circuit. The configuration packets may be streamed from the central manager to the CIM circuitry and / or read by a direct memory access (DMA) engine of the CIM circuitry. The central manager may configure the CIM circuitry and the NoC over a second communication channel (e.g., a global communication ring interconnect) during the initialization phase. The CIM circuitry may include respective packet processors, random access memories, authentication circuitry, error detection circuitry, and interconnect circuitry having a standardized bus width.

Systems and methods generate requests for encrypted (e.g., secured) credentials and data using one of a plurality of API plugins that are selected based on an access protocol for a network partition at which requested data is determined to be stored. Through the use of the dynamically-selected API plugins, the systems and methods may provide the aforementioned functions while being compatible with the different access protocols that may be encountered when providing central management across a diverse spectrum of user accounts, networks, and / or cloud platforms.

The invention relates to the technical field of remote sensing image data processing, and discloses a remote sensing image data scheduling and distribution management system, which comprises a central management platform and an analysis agent deployed at a remote sensing image data source end, according to the method, the analysis task is accurately delivered to the data source and is executed locally, so that the overall transmission of massive original image data is avoided, and the analysis efficiency is improved. Therefore, the bottleneck that a traditional system is limited by physical bandwidth is converted into analysis definition of a logic level, the working mode of the whole system is converted into distributed information extraction from data handling, and the instantaneity of data acquisition and the effectiveness of resource utilization are improved.

This utility model relates to an ultra-low power, high-intensity directional acoustic warning device, including a front panel, a housing, a warning light, a sound-generating module, and a circuit board assembly. The circuit board assembly includes a power management module, a central management module, an audio algorithm processing unit, and a boost drive module. The power management module supplies power to the strobe light and the piezoelectric sound-generating unit. The central management module connects to the audio algorithm processing unit, the boost drive module, and the strobe light. The audio algorithm processing unit is connected to the boost drive module, which is also connected to the piezoelectric sound-generating unit. The central management module controls the audio algorithm processing unit to process the input audio signal and then drives the piezoelectric sound-generating unit to emit sound through the boost drive module. This utility model overcomes the high power consumption bottleneck of traditional electromagnetic loudspeakers and integrates the collaborative work of the strobe light and the piezoelectric sound source, enhancing target recognition through multi-dimensional warnings.

To provide a management system and a toilet equipment management apparatus that enable unified management of multiple pieces of toilet equipment and electronic equipment in a building.SOLUTION: A management system 1 includes a toilet equipment management apparatus 27 which manages multiple pieces of toilet equipment 3 in a building 9, and a central management apparatus 10 which manages electronic equipment. The toilet equipment management apparatus 27 manages driving state of the multiple pieces of toilet equipment 3 at driving times T11a, T11b, .. T11k, based on signals received from the multiple pieces of toilet equipment 3. The central management apparatus 10 manages driving state of the electronic equipment at driving times T21a, T21b, based on signals received from the electronic equipment. The central management apparatus 10 manages primary toilet management data indicating driving state of the multiple pieces of toilet equipment 3 at the driving times T11a, T11b, .. T11k, or secondary toilet management data indicating driving state of the multiple pieces of toilet equipment 3 at the time T22.SELECTED DRAWING: Figure 3