412 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.

In one embodiment, a method herein comprises: registering, by an orchestration service agent, with a central management device to receive a corresponding configuration for the orchestration service agent, wherein the central management device receives a registration from each of a plurality of orchestration service agents; self-configuring, by the orchestration service agent, based on the corresponding configuration; obtaining, by the orchestration service agent and from the central management device, an observability-agent-specific configuration package; and configuring, by the orchestration service agent and based on the observability-agent-specific configuration package, a corresponding observability agent associated with the orchestration service agent and executing on a corresponding entity.

The invention provides an intelligent cold chain transportation information management method, system and device and a storage medium, and the method comprises the steps: recognizing the type of transported goods and environment demands through a task recognition module, and determining and configuring a target sensor of a cold chain vehicle through a sensor configuration module; the target sensor collects environment data, the vehicle-mounted GPS module collects position information and a driving state, the RFID tag records a cargo loading state, and all data are sent to the central management platform. The platform constructs a multi-dimensional feature vector, the multi-dimensional feature vector is compressed into a low-dimensional feature representation through an encoder, a reconstruction data vector is obtained through reconstruction of a decoder, and a reconstruction error is calculated. And by analyzing the reconstruction error, the platform generates an analysis result, and the environment control equipment in the vehicle is automatically adjusted according to the result, so that the stability of cargo transportation is ensured.

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.

An IoT-based intelligent room management system for hotels and resorts, consisting of: a variety of IoT-enabled devices in individual hotel rooms, with each device configured to control a specific room function, including lighting, air conditioning, entertainment systems, and security systems; a centralized management platform that is operationally coupled with the multitude of IoT-enabled devices and configured to communicate with the devices via a wireless network, with the centralized management platform collecting real-time data on room settings, occupancy status, and device performance; a guest interface that includes a mobile application or voice-activated assistant and is configured to allow guests to customize and control room functions, with the guest interface communicating with the central management platform to implement changes to room settings according to user preferences; An automatic occupancy detection system integrated into IoT-enabled devices and the central management platform. The system detects the presence or absence of guests in the room and adjusts room settings, including lighting and air conditioning, to optimize energy consumption when the room is unoccupied; a keyless access system that is operationally linked to the central management platform and provides guests with access to their assigned rooms via smartphones or wearable devices using wireless communication protocols; and A resource management module integrated into the central management platform, providing real-time insights into room occupancy, energy consumption and equipment status, enabling predictive maintenance and optimizing resource allocation within the hotel or resort.

Aspects of the disclosure are directed to a central management plane (CMP) of one or more processors for regulating streams of data from each of a number of network nodes of a distributed network. The one or more processors can train and deploy machine learning models across the network nodes, and the CMP can generate policies for each network node. The generated policies specify how a network node is to transmit data to the platform for further training or retraining of the deployed machine learning models. The CMP generates the policies using metric data characterizing each network node and respective streams of input data, and are generated based on a number of objectives, including model output quality of the deployed models, and operational cost to transmit and process streams of data across the distributed network.

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 relates to a remote monitoring management method and system for a new energy automobile power battery. The method comprises the following steps: constructing a layered monitoring network structure according to a vehicle-mounted terminal layer, a regional monitoring center layer and a central management platform layer, and collecting a hierarchical data transmission sequence of each monitoring region in a power battery; performing battery performance feature extraction and reconstruction verification on the hierarchical data transmission sequence of each monitoring area by using a feature enhanced automatic encoder to obtain a battery health prediction model of each monitoring area; performing distributed training in each monitoring area based on the battery health prediction model, and determining a model fusion weight according to data quality and prediction accuracy to obtain a global battery monitoring model set; and acquiring a cooperative monitoring data stream of the power battery, and performing multi-dimensional analysis on the cooperative monitoring data stream based on the global battery monitoring model set to obtain a battery health level assessment result. According to the invention, the accuracy and reliability of the health level evaluation result of the power battery are improved.

The invention discloses an intelligent lighting equipment maintenance management system based on data analysis, and belongs to the technical field of equipment maintenance management, and the system comprises a data obtaining module which obtains associated data related to lighting equipment from a plurality of data sources; the transmission module is used for transmitting the acquired associated data to the central management platform; the central management platform carries out unified preprocessing on the associated data and then carries out analysis according to the associated data so as to judge whether the lighting equipment is abnormal or not, and the central management platform comprises a real-time judgment unit, an early warning analysis unit and a power consumption detection unit; and the maintenance adjustment module executes a corresponding strategy according to a judgment result. The power consumption condition of each lighting device can be judged, when the power consumption is abnormal, the power of the lighting device can be dynamically adjusted according to the intensity of natural light of the environment, and resources can be greatly saved under the condition that normal use of the lighting device is guaranteed.

The invention discloses a power system time synchronization tester detection management method, and relates to the technical field of power system testing and monitoring, and the method comprises the steps: S1, connecting each time synchronization tester to a central management platform, and starting initial time synchronization; s2, generating a synchronous correction instruction based on the time deviation data reported by each tester; s3, sending a synchronous correction instruction to each tester, and performing time deviation correction; s4, monitoring the time deviation of each tester in real time, and ensuring the synchronization precision after correction; s5, when it is detected that the time deviation exceeds a preset threshold value, triggering a re-correction process; according to the power system time synchronization tester detection management method, the problem of synchronization coordination caused by inconsistent time deviation correction in a multi-device synchronization process in the prior art is solved.

A central server configured with an Attribute Authority (“AA”) acting as a Trusted Third Party mediating service provider and using X.509-compatible PKI and PMI, VPN technology, device-side thin client applications, security hardware (HSM, Network), cloud hosting, authentication, Active Directory and other solutions. This ecosystem results in real time management of credentials, identity profiles, communication lines, and keys. It is not centrally managed, rather distributes rights to users. Using its Inviter-Invitee protocol suite, Inviters vouch for the identity of Invitees who successfully complete the protocol establishing communication lines. Users establish and respond to authorization requests and other real-time verifications pertaining to accessing each communication line (not end point) and sharing encrypted digital files. These are auditable, brokered, trusted-relationships where such relationships / digital agreements can each stand-alone (for privacy) or can leverage build-up of identity confidence levels across relationships. The service is agnostic to how encrypted user content is transported or stored.

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 smart archival repository intelligent early warning method and system based on the Internet of Things, and relates to the technical field of archival repository early warning, and the smart archival repository intelligent early warning method comprises the steps: transmitting the pre-collected spatial layout data and environment monitoring data of an archival repository to a central management platform through the Internet of Things communication technology; dividing the spatial layout of the archival repository based on the spatial layout data, and judging an archival storage type in each archival storage space; identifying environment monitoring characteristics corresponding to each file storage space based on the environment monitoring data, and judging file storage conditions in each file storage space in combination with the environment monitoring characteristics; and establishing a partition early warning mechanism by combining the file storage type and the file storage condition in each file storage space. According to the invention, environment regulation and control can be effectively carried out according to storage requirements of archives in different areas, and resource waste and environment inadaptation caused by unified regulation and control are avoided.

The invention relates to the technical field of computers, and discloses a host firewall software strategy collection and analysis method. The method comprises the steps of S1, deploying acquisition agents in a distributed manner, and acquiring policy data of a host firewall; s2, carrying out standardized analysis and storage on the collected data; s3, uploading the standardized strategy data to a central management node through an incremental synchronization mechanism; s4, constructing a rule dependency graph based on the rule data at the central management node; and S5, performing conflict detection and redundancy analysis on the host firewall rule by using the rule dependency graph. Priority conflict, coverage conflict and mutual exclusion conflict detection is performed on the rule set through the rule dependency graph, the priority conflict detection ensures the execution logic consistency of the rule, the coverage conflict detection reduces the redundant execution of the rule, and the mutual exclusion conflict detection avoids the rule combination of logic contradictions. And through systematic conflict detection, the execution accuracy and reliability of the rule set are remarkably 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 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 concrete slump real-time detection system and method based on machine vision. Video streams in the concrete discharging process are collected through a high-definition camera device installed at the front end of a concrete discharging opening; transmitting the video stream to a data center, analyzing the video stream in real time by using a pre-trained three-dimensional deep convolutional neural network model, extracting flow characteristics of the concrete mixture, and calculating a slump value; judging whether the slump numerical value exceeds a preset range or not, and if yes, sending alarm information to a central management platform through an alarm module; and adjusting the material ratio of the concrete by field operators according to the slump numerical value and the alarm information. According to the invention, the advanced deep learning algorithm is utilized to carry out real-time analysis on the concrete blanking process, the slump value is accurately calculated, and automatic and intelligent quality detection is realized.

The invention relates to an intelligent optical fiber resource management monitoring system, which solves the technical problems of complexity and low efficiency, and comprises an intelligent optical fiber wiring monitoring device and monitoring data primary processing units distributed on the intelligent optical fiber wiring monitoring device, the central management detection unit is connected with the intelligent optical fiber wiring monitoring device and the monitoring data primary processing unit; the optical fiber is provided with a ray light source at the jump fiber port end, and the emission angle of the ray light source is consistent with the angle of the optical fiber; the outlet end of the tail fiber take-up box module is provided with a light receiving matrix device for receiving a ray light source signal; and the jumper fiber port is also provided with a ray light source for representing the serial number and the position parameter of the jumper fiber port, so that the problem is well solved, and the method can be applied to intelligent optical fiber resource management.

To provide an unmanned aircraft parking system that is able to easily perform procedures for parking management and parking use of an unmanned aircraft.SOLUTION: An unmanned aircraft parking system includes an unmanned aircraft, a non-contact communication type recording medium, an apron, an apron management device, and a central management device. The unmanned aircraft includes a transmission unit capable of wirelessly transmitting individual identification information. The non-contact communication type recording medium can be mounted on the unmanned aircraft and is registered in advance for use. The apron includes: at least one or more parking spaces in which the unmanned aircraft can be parked; and a communication device that is provided for each parking space and communicates with the non-contact communication type recording medium of the parked unmanned aircraft. The apron management device manages a use state of the apron. The central management device integrally manages at least one or more apron management devices. The central management device manages a parking state of the unmanned aircraft, based on registered information of the non-contact communication type recording medium of the unmanned aircraft approaching the apron and the use state of the apron.SELECTED DRAWING: Figure 1

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.