8results about How to "Reduce communication traffic" patented technology

The present invention relates to a method for realizing a multi-UAV state consistency control mechanism based on a mobile platform. The method comprises: the mobile platform and each UAV exchange state attribute information through the simulation service of the mobile platform. The UAV generates request instruction information based on its own current state attribute information and uploads it to the simulation service for sharing condition determination. If the determination result satisfies the attribute information matching condition, the simulation service will publish the current state attribute information of the received UAV to the mobile platform, so that the mobile platform selectively publishes the current state attribute information. The use of this method can achieve consistency of the real state information corresponding to multiple entities in a complex simulation environment with poor communication network, greatly reducing the amount of data calculation processing and communication transmission.

The application discloses an event reporting method, a setting device, a target device and a system based on MCTP, and the method comprises the following steps: the setting device sends a setting event message with the MCTP message type code being 0x77 to the target device, the message at least containing an event label, a data length and an event condition described by a formatted string key-value pair; the target device receives and stores the event condition; when the event condition is met, the target device actively sends a reporting event message with the code being 0x77 to the setting device. By using the event notification mechanism, the setting device does not need to poll frequently, the monitoring condition is configured on the target device by one time setting, the target device actively reports when the condition is met, repeated information transmission is avoided, the MCTP bus communication flow is greatly reduced, and the system load is reduced; meanwhile, the key information and the change information can be sent in real time, the information updating delay problem caused by reducing the polling frequency is solved, and the balance between the system load and the real-time response is realized.

The application discloses a kind of river health state evaluation and early warning method and system, belong to ecological environment monitoring and automation control technical field, which comprises: obtaining the real-time monitoring data of river monitoring point;According to real-time monitoring data, the final water quality grade of current time is evaluated, and the diurnal comprehensive index of current time is calculated;Obtain the historical reference diurnal comprehensive index based on historical monitoring data, and calculate the dynamic early warning threshold according to the historical reference diurnal comprehensive index and the final water quality grade of current time;The diurnal comprehensive index of current time is compared with the dynamic early warning threshold, when the diurnal comprehensive index of current time is lower than dynamic early warning threshold, generate early warning information, and generate control instruction according to the comparison result, to adjust the operating parameter of front-end monitoring equipment.The present application provides a complete technical solution of precision, intelligentization and automation for the long-term supervision of "Sewage Zero Direct Discharge Area".

The present invention is applicable to the technical field of demand response scheduling, and provides a demand response scheduling method based on user preference and mixed integer linear programming, including: performing fuzzy C-means clustering on the historical data of NSAs load and CAs load respectively; obtaining the energy cost tolerance and equipment information of residential users, calculating the user willingness to pay of each residential user to quantify the user preference, and calculating the allocated energy; based on the user preference, using mixed integer linear programming to perform demand response scheduling of residential communities to minimize the total energy cost of the residential communities. The demand response scheduling method of the present invention takes into account the energy cost tolerance and equipment information, and takes into account the user preference to minimize the total energy cost of the residential community, and has the characteristics of reducing the total energy cost and communication traffic of the community.

The invention discloses a distributed positioning method based on a dual privacy protection strategy, which belongs to the technical field of wireless communication networks, and comprises the following steps: arranging n nodes to be positioned in a convex hull formed by three beacon nodes; presetting a moment set, and randomly setting initial position estimation and relaxation parameters of each node to be positioned; setting a communication radius, a communication radius increment and a generated position updating moment set of the node to be positioned; generating a triangulation measurement set; and obtaining final position estimation of the to-be-positioned node based on a position updating strategy generated based on noise injection and an asynchronous iteration strategy and a distributed iteration positioning method represented by barycentric coordinates. Aiming at a wireless network with time-varying communication time delay, an asynchronous iteration strategy of node intermittent updating is adopted, an information hiding method of noise injection is combined, and the method has the advantages of protecting node position privacy, saving communication overhead and being high in positioning precision.

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 a phase determination method of distribution network fault interval positioning transient data and a related device. The method comprises the following steps: receiving a reference sequence which is sent by a central station and is based on a predetermined power frequency sampling rate and a predetermined power frequency period length; determining a plurality of waveform fragments with the same length as the reference sequence in a monitoring power frequency sequence; and determining a reference power frequency phase based on correlation between the plurality of waveform segments and a reference sequence. According to the embodiment of the invention, after the monitoring terminal collects the power frequency waveform, the power frequency reference phase can be quickly and conveniently calculated through the intelligent analysis algorithm, the power frequency waveform does not need to be uploaded, the requirement for operation performance is not high, the communication flow and power consumption of the monitoring terminal are greatly reduced, and the operation reliability of the monitoring terminal is improved.

The invention provides a bistatic site selection method and apparatus, and a storage medium. The method comprises the steps of determining a position relationship between a to-be-detected object and a plurality of target bistatic sites based on perception information; the target double-base station is a double-base station capable of covering the object to be detected; and selecting an optimal double-base station from the plurality of target double-base stations based on the position relationship. According to the bistatic site selection method and device and the storage medium provided by the embodiment of the invention, the position relationship between the to-be-tested object and the plurality of target bistatic sites can be determined through the sensing function entity, and the reasonable bistatic site is selected according to the position relationship, so that the calculation complexity can be reduced, the communication transmission quantity between the sites can be reduced, and the user experience can be improved. Therefore, the efficiency of selecting the double-base station is improved.