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207results about How to "Reduce communication burden" patented technology

Distributed online monitoring system and method for electric energy metering device

The invention relates to a distributed online monitoring system and method for an electric energy metering device. The distributed online monitoring system for the electric energy metering device at least comprises a monitoring subsystem (4) for the electric energy metering device in a transformer substation, a customer electric energy meter centralized reading motoring subsystem (9), a monitoring unit (10) for the electric energy metering device in a metering point and a monitoring center (7) for the electric energy metering device in a power supply company. Data abnormality and fault early-warning, error alarming and inspection and verification request judgment are performed through an on-site monitoring device; relevant power grid event information is acquired through a master monitoring station (6) for the electric energy metering device in the transformer substation and the monitoring center (7) for the electric energy metering device in the power supply company to be used for assisting in decision making; finally, the decision is made through business personnel. The traditional regular inspection and verification mode is broken, and the inspection, verification or maintenance efficiency is high. The communication burden on a monitoring network is reduced, the requirements for a communication environment are lowered, data amount of the master monitoring station (6) for the electric energy metering device in the transformer substation and the monitoring center (7) for the electric energy metering device in the power supply company is reduced, and the operation efficiency is higher.
Owner:ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1

Flexible dynamic deployment system and method for render cluster

The invention discloses a flexible dynamic deployment system and method for a render cluster. The system comprises a rendering task management platform and a rendering unit control dispatcher, and the rendering task management platform is used for distributing tasks to the rendering unit control dispatcher of a cluster management node and receiving task processing schedule information uploaded by the rendering unit control dispatcher of the cluster management node. The rendering unit control dispatcher is used for distributing tasks to a plurality of rendering units and receiving task processing schedule information fed back from each rendering unit, and is used for processing the computing node requests of the rendering units and dynamically adjusting the number of the computing nodes in the rendering units according to a priority sequence in the process of executing the rendering tasks. Each rendering unit comprises a rendering unit Master course, the rendering unit Master courses are in communication with the computing nodes, and one computing node corresponds to one rendering unit Slave course. Computing resources are effectively utilized, and the resource use ratio is maximized. Under the condition of not influencing service quality, the number of the system concurrence users of the render cluster is increased.
Owner:SHANDONG UNIV

Multi-intelligent stand-alone servo control system based on dual redundant CAN bus communication

ActiveCN106444713AAchieve coordinationSolve the problem of distributed control requirementsProgramme controlElectric testing/monitoringSelf recoveryRocket
The invention relates to a multi-intelligent stand-alone servo control system based on dual redundant CAN bus communication. A main servo control drive receives the instruction of a host computer, so as to carry out corresponding operation. The instruction received by the host computer is redundantly sent to a servo control drive through a first CAN bus and a second CAN bus, wherein the first CAN bus and the second CAN bus are peer to each other. An instruction operation result and measurement parameters are fed back to the host computer, wherein the instruction operation result and the measurement parameters are sent by the main servo control drive in the system and an auxiliary servo control drive. Without increasing additional data transmission, bus error self-diagnosis and bus state self-diagnosis are carried out on the dual redundant CAN buses are in real time. When communication bus abnormities are found through self-diagnosis, corresponding self-recovery measures are taken for self-recovery. The system is used for the communication of different intelligent stand-alones of a rocket flight control servo system, realizes highly reliable communication with relatively low cost, has the functions of self-diagnosis and self-recovery, and ensures the high reliability of a rocket and other flight control systems.
Owner:BEIJING RES INST OF PRECISE MECHATRONICS CONTROLS +1

Wireless sensor network local type node managing method

The invention relates to a local type node management method of the wireless sensor network, which comprises the steps that at the current sampling time, a working node in a first node collection can predict that the alternative area where the ideal node combination with the optimum positioning performance at the time of the next sampling is positioned can be provided; each node in the first node collection can broadcast the forecasting information including the alternative area to other nodes in the wireless sensor network; the node which receives the forecasting information judged whether is positioned within the alternative area, and if the node is positioned within the alternative area, the node is added to a second node collection; the alternative nodes in the second node collection can mutually confirm the location and the condition of the other node, and the alternative nodes can come into the working condition at the next sampling time. The invention can effectively avoid the disadvantages that the computing load of the traditional overall type node management method is large, the storage demand is large, the complexity of the system is large, the structure is complex, the expansibility is not strong etc., the invention can rapidly obtain the node combination which can position the object with very high precision, the working complexity of the system can be reduced, and the network service life can be prolonged.
Owner:BEIHANG UNIV

Distributed group robot cooperative clustering algorithm based on improved gene regulation network

The invention provides a distributed group robot cooperative clustering algorithm based on an improved gene regulation network. Through embedding a diamond mesh distribution equation and a trajectoryfollowing equation in a gene regulation network model based on the Turing reaction diffusion mechanism, the moving vector speed of each robot is controlled, thus each robot whose initial state is in random distribution always gathers at a preset cluster trajectory position at a time t, the robots are arranged in a self-organized way to be in a diamond mesh distribution and can avoid obstacles in adynamic environment and repair formation by themselves. Parameter values in the improved gene regulation network are given by an NSGA II optimization algorithm. The distributed group robot cooperative clustering algorithm has the advantages of low computational complexity and good expansibility, for any robot, only the collection of the location information of a neighboring robot is needed, so arequired communication range is small, and the communication burden is effectively reduced. In addition, if some robots fail in operation, a system can still work normally, and the algorithm has goodrobustness and a great application prospect.
Owner:DONGHUA UNIV

Method and device for electric car cluster power regulation based on two-stage cross control

The present invention relates to a method and device for electric car cluster power regulation based on two-stage cross control. The method comprises the following steps: 1) establishing a grid-connected model of electric car cluster active and reactive mixed control, and determining an objective function for performing active and reactive optimization control of an electric car cluster and constraint conditions thereof; 2) establishing an objective function for performing active optimization of the electric car cluster and constraint conditions thereof; 3) dividing the charging duration of the electric car cluster into a plurality of power control durations; 4) performing solution of the objective function for active power control, and obtaining an active power optimization result; 5) establishing an objective function for performing grid-connected reactive optimization of the electric car cluster and constraint conditions thereof; 6) performing solution of the objective function for reactive optimization, and obtaining a reactive power optimization result; and 7) repeating the step 4), the step 5) and the step 6, and performing active optimization and reactive optimization for the electric car cluster in each power control duration. The method and device for electric car cluster power regulation based on the two-stage cross control can be widely applied to the power regulation of the electric car cluster.
Owner:STATE GRID CORP OF CHINA +3

Online grid fault detection method based on relative protection entropy and nominal transition resistance

ActiveCN104316836AImprove fault toleranceNarrow the scope of judgmentFault locationFault toleranceGrid fault
The invention discloses an online grid fault detection method based on relative protection entropy and nominal transition resistance. According to the method, when a regional online detection system operating in a main unit on the monitoring layer of a transformer substation finds out that a protection signal, corresponding to a protection device, of a certain circuit in the station is started, online grid fault detection is started, seven kinds of protective action values of the two ends of the circuit and adjacent circuits are collected through a local area network and a wide area communication network, the relative protection entropy values of the circuit and adjacent circuits are calculated and ranked from large to small, circuits the relative protection entropy values of which are ranked first and second are taken as suspected circuits, and the relative protection entropy values of the two circuits are compared with a relative protection entropy threshold value to judge the fault circuit with multiple criteria. According to the method, the relative protection entropy fault detection method and the limited PMU-based nominal transition resistance fault detection method are combined, faults of a single circuit, double faults of two non-adjacent circuits and complicated faults of two adjacent circuits can be detected effectively, and fault tolerance of grid fault detection is improved greatly.
Owner:STATE GRID XINJIANG ELECTRIC POWER CO URUMQI ELECTRIC POWER SUPPLY CO

Target state estimation method and system

The invention discloses a target state estimation method and system. The method comprises the following steps: acquiring a communication topological graph of a distributed sensor network; obtaining anobservation model of a nonlinear system and prediction information of a sensor at the previous moment; calculating interaction information of the sensor at the current moment according to the observation model and the prediction information of the sensor at the previous moment, and enabling the interaction information of the sensor and the interaction information of a neighbor node sensor to interact with each other; according to the interaction information of the sensor and the interaction information of the neighbor node sensor, performing fusion by a weighted average consistency algorithmto obtain state estimation parameters of the sensor at the current moment, wherein the state estimation parameters of the sensor comprise a state estimation value and an error covariance estimation matrix of the sensor; and determining the state estimation parameter of the sensor at the current moment as the state estimation parameter of the target at the current moment. The method can reduce thecommunication burden of the network, guarantees that the filtering result cannot be diverged, improves the network communication efficiency, and improves the estimation precision of the target state.
Owner:BEIHANG UNIV

Multi-spacecraft cooperative control method based on integral sliding mode and model predictive control

ActiveCN109189091ATroubleshoot communication deficienciesSolve the problem of insufficient immunityAttitude controlPosition/course control in three dimensionsMarkov jumpDynamic models
The invention discloses a multi-spacecraft cooperative control method based on integral sliding mode and model predictive control. The method comprises the following steps: 1, establishing a spacecraft attitude dynamics model, obtaining a spacecraft attitude dynamics model of Lagrangian form by transformation, and further obtaining a spacecraft attitude dynamics model in the state space; 2, adopting a random communication protocol between multiple spacecrafts, and modeling the random communication protocol as a Markov jump model; and 3, using a hybrid control method combining integral slidingmode control and robust model prediction control to obtain the amount of control for each spacecraft, thereby solving the problem of communication defects and insufficient anti-interference in the multi-spacecraft cooperative control in the prior art. The multi-spacecraft cooperative control method based on integral sliding mode and model predictive control can perform cooperative control on multiple spacecrafts by fully utilizing the advantage of the integral sliding mode control to effectively suppress the matching interference, and combining the characteristic of the robust model predictivecontrol to deal with the constraint and non-matching interference.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Distributed model predictive control method based on hierarchical decomposition

ActiveCN105511263ASolve the problem of high communication loadReduce communication burdenAdaptive controlOptimal controlNetwork structure
The invention discloses a distributed model predictive control method based on hierarchical decomposition, comprising the following steps: for a distributed system, an adjacency matrix of the distributed system is acquired according to a communication network structure, and each subsystem is divided into a plurality of connected sets by the adjacency matrix by using an adjacent matrix based path search method; a reachable matrix of the connected sets is constructed, the level of each connected set is determined based on a hierarchical decomposition method in an interpretative modeling method, all the connected sets of the same level are combined into one connected set, and therefore, a connected-set set of a serial structure is constructed; and at each sampling moment, the optimal control input sequence of each subsystem in each connected set is solved in sequence according to the series order, and predictive control is performed on the distributed system. By using the method, communication between connected sets not correlated directly is avoided, the communication burden is reduced greatly while the system stability is ensured, and the problem that the traditional collaborative distributed model predictive control method is of high necessary communication burden is solved.
Owner:ZHEJIANG UNIV

Real-time precise point positioning method based on satellite clock and R-orbit error mixed estimation

The invention discloses a real-time precise point positioning method based on the satellite clock and R-orbit error mixed estimation. A real-time satellite clock error estimation terminal and a mobile station client terminal are adopted. The method includes that the real-time satellite clock error estimation terminal estimates the satellite clock errors in real time through broadcast Ephesus and regional CORS continuous observation data and transmits to a mobile station through a mobile network rapidly; the mobile station client terminal receives GNSS observation data and acquires and decodes satellite clock error data through the mobile network, and the precise point positioning is performed after data p reprocessing. By the aid of the method, the positioning precision and convergence time of precise point positioning are improved and increased significantly on the basis of the IGS real-time data flow method, the small-scale CORS application is supported, and the limitation that satellite orbit determination requires a large range of ground stations is overcome; a user of the mobile station only receives the real-time satellite clock error correcting data instead of precise orbit data, and the network communication load is reduced.
Owner:SOUTHEAST UNIV

Spacecraft anti-interference attitude cooperative control method based on event-triggered communication

The invention relates to a spacecraft anti-interference attitude cooperative control method based on event-triggered communication. The method comprises the following steps: firstly, for a group of rigid spacecrafts which comprises a pilot spacecraft and a following spacecraft, describing an attitude kinematics equation and a kinetic equation of the following spacecraft by using modified Rodrige parameters (MRPs), and modeling unknown bounded interference of the spacecraft, the model being used for describing a plurality of actual interferences; secondly, designing a disturbance observer, estimating disturbance, and enabling a disturbance estimation error index to converge to zero; secondly, establishing a filter and introducing an event triggering mechanism to describe discontinuous communication between spacecrafts; and finally, designing a controller based on a backstepping method in combination with a disturbance observer and a filter to ensure that all closed-loop signals are consistent and bounded, and the attitude railing error can be converged into a residual set smaller than a predetermined threshold. According to the method, attitude cooperative railing of multiple spacecrafts under the condition of no continuous communication is ensured, and unknown interference can be compensated.
Owner:BEIHANG UNIV
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