17results about How to "Reduce communication pressure" patented technology

The invention discloses an electric vehicle distributed charging optimization method and system based on a carbon emission sensitive dynamic electricity price, and the method comprises the steps: setting an initial iteration strategy based on a controllable electric vehicle load model, and averagely distributing the needed charging amount to all charging time periods; defining the size of an algorithm convergence criterion according to the required convergence precision and the number of the electric vehicles; constructing a dynamic electricity price containing coupling of a load item and a carbon emission item, and calculating an EVn cost function according to the dynamic electricity price; starting a kth round of iteration, traversing all EVn in each round of iteration, and counting k from 0; other electric vehicle charging power vectors except the EVn are calculated; after each iteration, checking whether a convergence criterion is met or not; if yes, the obtained load curve is an approximate solution of Nash equilibrium, and if not, the charging strategy is updated repeatedly; and after the load curve under the dynamic electricity price mechanism is obtained, the load curve under the time-sharing static electricity price with the same electricity price level is obtained through calculation. The method is suitable for electric vehicle group charging management in a community scene.

The invention discloses a method for realizing a centerless multicast conference, which comprises the following steps: S1, conference members adopt a multicast centerless mode to communicate and join in a centerless multicast conference group; s2, collecting voice data of conference members, performing energy detection, and sending the voice data when a speech is detected; and S3, after receiving the voice data, other conference members decode, cache, mix and play the voice data. According to the invention, the problem of user offline does not exist, and the service is available if the network is available: no conference server exists, so that the conference does not have a control center, and the fault of any member does not affect the group conference; the members can speak and receive voice at any time when the network is connected when entering the conference, the use of other users is not influenced when the network is not connected, and the users can listen to and speak in the conference immediately once the network communication is recovered.

The invention provides a distributed construction method for an inter-atomic potential energy prediction system, and the method comprises the steps: S1, obtaining distributed equipment and parameters thereof, and configuring an initial inter-atomic potential energy prediction model on the distributed equipment; s2, acquiring a plurality of atomic graphs and potential energy information of each atomic graph; s3, dividing all the atomic graphs into a plurality of sample sets, wherein the total number of atoms of all the atomic graphs in each sample set is smaller than or equal to the atomic capacity of a preset sample set; s4, preprocessing each sample set, marking the sample set without the large-scale atomic graph as a centralized training sample set, and marking the sample set with the large-scale atomic graph as a distributed training sample set; and S5, scheduling all the sample sets to distributed equipment, and performing reasoning training on the initial inter-atomic potential energy prediction model by taking the atomic graph as an input sample and the potential energy information corresponding to the atomic graph as prediction output so as to obtain an inter-atomic potential energy prediction system.

The invention discloses an unmanned aerial vehicle airborne ground multi-target online positioning method and system and a storage medium, an unmanned aerial vehicle is in communication connection with a vehicle end, the unmanned aerial vehicle carries out preliminary positioning on multiple ground targets and sends a preliminary geographic positioning result of the multiple ground targets to the vehicle end, and the method is executed by the vehicle end. Comprising the following steps: carrying out secondary correction on a ground multi-target preliminary geographic positioning result sent by an unmanned aerial vehicle, and projecting the corrected ground multi-target positioning result to a vehicle BEV space; target risk values of the multiple ground targets are calculated respectively, the multiple ground targets in the first data set are sorted according to the risk values from high to low, and a second data set is obtained; and the data set 2 is used for the vehicle end to carry out multi-target online positioning on the ground. According to the method, the preliminary positioning of the unmanned aerial vehicle is combined with the vehicle end correction, so that the multi-target high-precision online positioning of the road surface is realized, the vehicle end positioning calculation complexity is reduced, and the method has the characteristics of high positioning precision, strong real-time performance and the like.

The invention belongs to the technical field of power distribution network single-phase earth fault positioning, and particularly discloses a low-current grounding system single-phase earth fault section positioning method and system. The method comprises the steps of determining whether to start detection of single-phase earth fault section positioning or not based on abrupt changes of zero-sequence voltage and zero-sequence current at an outlet of a protected section; if the detection is started, the outlet of each section of the small current grounding system respectively calculates the transient zero sequence power of the outlet; determining an integral time window by using a zero-cross detection and continuity check mechanism, and integrating the transient zero-sequence power in the corresponding time window to obtain generalized transient zero-sequence energy; and judging whether the fault point is located at the upstream or downstream of the current measurement point based on the positive and negative generalized transient zero-sequence energy at the outlet of the protected section, and further judging whether the section between the two measurement points is a fault section. According to the method, the polarity difference of generalized transient zero-sequence energy of the fault section and the non-fault section is maximized, and the method is not influenced by transition resistance and line changes.

This invention discloses a verifiable federated learning method based on hybrid homomorphic encryption. Its key feature is that, on a centralized client-server architecture for federated learning, it employs hybrid homomorphic encryption technology supporting SIMD operations to encrypt data. While ensuring data privacy and correct aggregation, it leverages the advantages of symmetric encryption—simple computation and no ciphertext inflation—to overcome the shortcomings of public-key homomorphic encryption schemes, which are computationally complex and suffer from severe ciphertext inflation. A verification code is constructed using Lagrange interpolation, allowing the client to verify the aggregation results. Specifically, it includes steps such as system initialization, model training and data encryption, aggregation, aggregation result verification, and model updating. Compared with existing technologies, this invention ensures user gradient confidentiality, aggregation correctness, and the integrity of aggregation results during the federated learning aggregation process, while reducing the number of public-key encryption operations, alleviating computational and communication burdens, and significantly improving efficiency.

The invention discloses a multi-unmanned aerial vehicle adaptive target surrounding control method, and relates to the technical field of multi-unmanned aerial vehicle control, and the method comprises the steps: obtaining a kinetic model and a communication topology of an unmanned aerial vehicle; according to the dynamic model, based on a formation transformation operator, determining a formation pattern of the unmanned aerial vehicle; keeping the formation pattern of the unmanned aerial vehicles unchanged, adjusting the motion direction of the virtual unmanned aerial vehicles according to the motion state of the target until the distance between the target and the virtual unmanned aerial vehicles is smaller than a preset distance threshold, and obtaining a surrounding path; constructing a dual-channel event trigger function based on a dynamic event trigger mechanism according to the kinetic model; according to the triggering time, the communication topology and the surrounding path, constructing an unmanned aerial vehicle formation distributed dynamic event triggering target surrounding control law; according to the unmanned aerial vehicle formation distributed dynamic event, triggering a target surrounding control law to surround the target; according to the invention, the trigger threshold can be adjusted in the dynamic change process, and the optimal balance between the control performance and the communication efficiency is realized.

The application discloses a communication-efficient privacy-preserving personalized federated learning method. The application studies a personalized federated learning based on feature fusion mutual learning, which can realize communication-efficient personalized learning by interactive training of shared models, private models and fusion models on the client. Specifically, only the shared model is shared with the global model to reduce communication cost, while the private model can be personalized, and the fusion model can adaptively fuse local knowledge and global knowledge at different stages. Secondly, in order to further reduce the communication cost and enhance the privacy of the gradient, the application designs a privacy protection method based on gradient compression. The method can well realize privacy protection and lightweight compression by constructing a chaotic encryption circulant measurement matrix. In addition, the application also proposes an adaptive iterative hard threshold algorithm based on sparsity to improve flexibility and reconstruction performance.

The invention provides an inter-harmonic traceability method and system based on an electric energy meter and micro-synchronous phasor measurement units, and relates to the technical field of electric energy quality monitoring, and the method comprises the steps: at the beginning, all micro-synchronous phasor measurement units (mu PMUs) collect basic electric parameter data and upload the basic electric parameter data to a master station system; the master station system reconstructs a complete layered topological structure based on the basic electric parameter data; after topology identification is completed, the master station system only issues an inter-harmonic detection analysis instruction to the muPMU of the grid-connected point PCC, and other muPMUs enter a basic monitoring mode; when the mu PMU of the PCC of the grid-connected point detects that the inter-harmonic content exceeds a first preset threshold value, inter-harmonic over-limit alarm is given to a master station system; and after receiving the inter-harmonic overrun alarm, the master station system issues an inter-harmonic detection analysis instruction to the [mu] PMU related to the inter-harmonic overrun alarm, and performs inter-harmonic overrun traceability to the tail end of the node in sequence according to the hierarchical relationship of the complete hierarchical topological structure. According to the scheme, the engineering practicability is high, and accurate positioning of the new energy harmonic source point can be realized.

The invention discloses a high slope surface deformation monitoring method based on edge AI and related equipment, and relates to the technical field of civil engineering safety monitoring and geological disaster early warning, and the method comprises the steps: collecting a specific target image in real time, processing the specific target image based on a preset lightweight AI model, obtaining displacement data corresponding to a specific target, and calculating the deformation of the specific target according to the displacement data. And sending the displacement data to a rear-end monitoring platform, so that the rear-end monitoring platform performs real-time monitoring on the slope surface deformation of the high slope based on the displacement data to obtain a monitoring result of the slope surface deformation of the high slope. High slope surface deformation monitoring is completed based on cooperation of the rear-end monitoring platform and the front-end acquisition unit, the front-end acquisition unit only needs to upload displacement data instead of image data, the data transmission amount is greatly reduced, meanwhile, the front-end acquisition unit processes the acquired data in real time through marginalization design, the data processing efficiency is improved, and then the data processing efficiency is improved. In a complex field environment, high-efficiency and high-precision deformation monitoring is carried out.

This invention relates to the field of edge computing technology and discloses a real-time data processing and intelligent analysis system for an IoT platform based on edge computing. The system includes: acquiring multi-source sensor data from a distribution transformer and performing time-scale normalization; performing frequency domain transformation on electrical parameter waveforms to extract multiple types of heat generation power and superimposing them to generate a total heat source; combining the total heat source and component metadata to recursively calculate the heat-retaining particle state quantity reflecting heat transfer hysteresis; obtaining the temperature distribution of hidden hotspots through a swarm optimization algorithm; generating insulation aging and damp heat activation indicators based on the extreme temperatures and locations of the hotspots, combined with moisture activity; calculating the sensitivity of each data point to the hotspots to allocate edge computing power and upload bandwidth; updating the device parameter library based on algorithm evolution and generating asset maintenance ranking scores. This invention effectively reduces the spatiotemporal lag of data under conditions of limited computing power and bandwidth, realizing dynamic analysis and adaptive resource allocation of hidden thermal states.

This invention discloses a multi-satellite electromagnetic signal source localization method based on overpass time acquisition. It primarily addresses the problems of existing methods failing to achieve on-board positioning under conditions of low link bandwidth and limited payload resources, and also suffers from high algorithm complexity. The implementation scheme is as follows: S satellites are selected, and the frequency of the target signal is continuously recorded starting from the moment the target signal can be detected. The overpass time of each satellite is calculated based on the Doppler frequency change rate of the detected target signal. The region where the target signal source is located is calculated based on the time when the satellite begins to detect the target signal and the time when it stops receiving the target signal. This region is then divided into grids, and the shortest distance time between the grid and the satellite is calculated. Based on the overpass time and the shortest distance time, the average position deviation of each grid is calculated to determine the location of the target signal source. This invention simplifies the complexity of current satellite positioning technology, improves signal positioning accuracy, and can be used for real-time online on-board positioning of electromagnetic signal sources.

The invention belongs to the technical field of power system regulation and control, and particularly relates to a regulation and control method and system for power balance of a distribution network system. The method comprises the steps that grid division is carried out on a distribution network system, each grid comprises a power supply and a load, the power supply comprises a new energy power supply and a traditional power supply, and the load comprises a flexible load; when the total power of the power supply and the total power of the load in the grid are unbalanced, regulating and controlling the power of the flexible load or the power of the new energy power supply in the grid in situ according to the total power of the power supply and the total power of the load in the grid; if the grid is still unbalanced after regulation and control, the distribution network monitoring system is used for regulating and controlling the traditional power supply power in the grid, so that the total power supply power and the total load power in each grid are balanced, the regulation and control time is shortened, the communication and operation pressure of the distribution monitoring system is reduced, the source load power in the grid can be quickly balanced, and the power of the whole distribution system is further quickly balanced; electricity utilization requirements of different types of loads are met, and overall reliable operation of a distribution network system is guaranteed.

The invention discloses a battery energy storage system dynamic reconstruction switching method based on multistage monitoring. The method belongs to the technical field of battery energy storage system intelligent monitoring and management. According to the method, a device-level, module-level and system-level multi-level sensing monitoring network is constructed, local acquisition, preprocessing and preliminary anomaly screening of data are realized through distributed intelligent nodes, and high-sensitivity detection and rapid positioning of faults are realized by adopting multi-layer Bayesian data fusion and an improved graph structure attention network. Based on a dynamic decision algorithm of an evolutionary game, the health degree, the energy state and the system safety margin of an energy storage unit are comprehensively considered, an optimal reconstruction switching strategy is generated and executed, and automatic isolation of a fault unit and access of a standby module are realized. The method is suitable for a modularly designed complex energy storage system, and has dynamic self-healing and efficient operation capabilities under various abnormal and sudden working conditions.

The application belongs to the technical field of single-phase grounding fault positioning of distribution network, and particularly discloses a small-current grounding system single-phase grounding fault section positioning method and system; the method comprises the following steps: determining whether to start the detection of single-phase grounding fault section positioning based on the abrupt variables of zero sequence voltage and zero sequence current at the outlet of the protected section; if the detection is started, the outlet of each section of the small-current grounding system respectively calculates the transient zero sequence power of each section; the integral time window is determined by using the zero-crossing detection and continuity checking mechanism, the transient zero sequence power is integrated in the corresponding time window to obtain the generalized transient zero sequence energy; whether the fault point is located upstream or downstream of the current measurement point is judged based on the positive and negative of the generalized transient zero sequence energy at the outlet of the protected section, and whether the section between the two measurement points is the fault section is further judged. The application maximizes the polarity difference of the generalized transient zero sequence energy of the fault section and the non-fault section, and is not affected by the transition resistance and line change.

The application discloses a kind of based on GPS positioning and multi-dimension electrical characteristic fusion's transformer area identification method and system, it is related to power system distribution transformer area identification technical field, comprising: S1, data acquisition and preprocessing;S2, GPS space range preliminary division;S3, multi-dimension electrical characteristic extraction;S4, adaptive weighted fusion discrimination;S5, power balance check and correction;S6, dynamic verification and model updating;The application fuses space constraint and electrical characteristic, relies on edge computing architecture, and the identification accuracy of electric meter transformer area attribution reaches 99.5% or more, response is fast, practicality is strong, can support distribution network operation and line loss management.

The invention discloses a structure health monitoring system and method, and belongs to the field of structure health intelligent monitoring. In order to realize health detection of a building wall, the invention provides an innovative monitoring system and method integrating a light source, a dynamic visual sensor and a pulse neural network. The system is used for carrying out long-term, real-time and distributed monitoring on inclination, settlement and vibration of building structures such as houses and bridges, and has the advantages of low power consumption, high real-time performance, high measurement precision and strong expandability.