9results about How to "Relieve computing pressure" patented technology

The invention discloses a cloud edge hierarchical collaborative information system integrated resource scheduling system. The system comprises an acquisition module. Data preliminary cleaning and feature extraction are locally executed through the edge end, only key feature data are uploaded, network transmission quantity is reduced, cloud computing pressure is relieved, real-time tasks can respond quickly, task timeout caused by transmission delay is avoided, feature vectors of the edge end and the cloud end are dynamically analyzed based on a scheduling decision model of reinforcement learning, and the real-time performance of the edge end is improved. Task requirements and resource states are intelligently matched, the scheduling accuracy is improved, model parameters are dynamically updated through task execution state data (such as duration and resource utilization rate deviation), the model is adaptively optimized along with environment changes (such as edge end hardware aging and cloud load fluctuation), the efficient scheduling capacity is kept for a long time, and the scheduling efficiency is improved. Layered processing and intelligent scheduling avoid edge end overload or cloud end resource idling, resource allocation of a CPU, a memory and the like is optimized, resource waste is reduced, and the system collaboration efficiency is integrally improved.

The application discloses a detection method for a QUIC protocol denial of service attack (QDA) in a backbone network. The method can realize detection of a composite denial of service attack under the QUIC protocol. The detection method comprises an offline training stage and an online detection stage. In the offline training stage, according to the attack characteristics of the composite QDA, representative one-way traffic feature data is extracted, and corresponding feature groups are constructed. These features can effectively deal with the case that there is a large amount of one-way traffic in the backbone network node. Finally, a specific machine learning method is used for training to obtain an attack detection model. The application can be used for QDA attack behavior detection and early warning in a massive traffic scene such as a backbone network, and provides a basis for maintaining the security of the network.

The application relates to a cloud control-based centralized vehicle queue predictive cruise control method and device. The method comprises the following steps: based on a received predictive cruise control request, acquiring real-time position and leading vehicle state information of a vehicle queue, determining an optimal reference speed curve of the vehicle queue according to the real-time position, the leading vehicle state information, a preset fuel consumption model and a preset dynamics model, taking the curve as an input of a centralized queue speed planning algorithm to obtain an optimal driving speed of the vehicle queue through optimization solving, and sending the optimal driving speed to the vehicle queue to realize vehicle queue cruise control. Thus, by combining the advantages of the cloud, the problems of limited prediction range and insufficient information acquisition capability of the existing vehicle queue predictive cruise are solved, the safety, economy and efficiency of the queue predictive cruise control are realized, the problem of gradually increasing energy consumption of the following vehicle caused by grouping is improved, the computing pressure at the vehicle end is relieved, and the energy-saving and system safety and stability boundary capability of the queue is improved.

The invention discloses a game assisting method, an intelligent glasses system, equipment, a medium and a product, the intelligent glasses system comprises intelligent glasses, the intelligent glasses comprise an intelligent glasses body, and a camera module, a main control chip and a multi-mode prompting unit are carried on the intelligent glasses body; the camera module is used for collecting video data of a game scene; the microphone array is used for capturing audio data of a game scene; the main control chip is used for generating game auxiliary information based on the video data and the audio data; and the multi-mode prompting unit is used for performing multi-mode prompting on the game player according to the game auxiliary information. According to the embodiment of the invention, the multi-modal data is collected through the intelligent glasses, game assistance is carried out according to the multi-modal data, auxiliary software is not needed, and the adaptation cost is reduced. Meanwhile, the intelligent glasses display the game picture and the auxiliary tool interface at the same time, so that the game player does not need to frequently switch the sight line between the game picture and the auxiliary tool interface, and the game concentration is improved.

This invention relates to the field of transportation monitoring technology and discloses a method for synchronous acquisition of transient waveforms in a distributed monitoring terminal for transformer transportation impacts. The key technical points are: deployment of monitoring terminals, wireless time synchronization, mechanical wave compensation, transient waveform acquisition and uploading, and impact analysis; adopting an IoT synchronization method combining LoRa wireless communication time synchronization and mechanical wave compensation, the method involves the slave device to acquire impact waveforms in segments and send impact messages exceeding the threshold in real time, and the slave device completes signal acquisition, filtering, and data processing before uploading to the host, thereby realizing synchronous acquisition of transient waveforms in a distributed monitoring terminal for transformer transportation impacts.

The present invention discloses a method, system and device for edge computing resource sharing based on coalition game, which includes that an edge server collects all device nodes and their task information in the network to form an edge computing network; setting a coalition structure and establishing an initial single-device coalition structure C i , where i ∈ 1, 2, …, n; modeling the utility function of the device nodes; setting the coalition game and the preference operation relationship, and selecting an improved coalition structure C j , and calculating the coalition revenue V(C j ); obtaining the stable coalition structure set C * , until no coalition structure changes, stop the iteration; reaching the stable coalition structure set C * , obtaining the overall system offloading strategy, and the game reaches equilibrium. It can maximize the task completion rate of all device nodes, solve the problem that all tasks are submitted to the edge server resulting in task blocking and processing failure, relieve the computing pressure caused by its resource limitation, and at the same time enable all device nodes to obtain the maximum benefit, improving the overall efficiency and benefit of the system as well as the satisfaction of all parties.

The application discloses a multi-layer multi-scale grid and a dynamic auxiliary positioning method based on the same, and belongs to the field of wireless positioning. The method comprises the following steps: performing grid division on a target GNSS reference station network coverage area to obtain longitude difference dl, latitude difference db and height difference dh of the target GNSS reference station network coverage area grid; determining a multi-layer multi-scale grid of the target GNSS reference station network coverage area; based on the multi-layer multi-scale grid, a data center receives rough position information sent by a user, searches for a grid point closest to the user as a positioning service grid, and sends information of a virtual observation station of the positioning service grid to the user, so that real-time positioning is completed. The application solves the centimeter-level positioning demand of the service end for a large number of users from the principle of VRS technology, overcomes the problems of low terminal RTK fixing rate and poor accuracy in a complex terrain area, reduces the calculation pressure of the service end, has simple algorithm and strong practicability, and effectively reduces the construction and operation and maintenance cost caused by simply relying on the accumulation of server and other hardware facilities.

The invention discloses a double-rate model-free control method driven by a high-frequency motor. The core principle of the double-rate model-free control method is that a calculation-intensive task is separated from high-rate control execution; specifically, complex online model identification and time delay compensation are executed through slow-rate interruption, so that an accurate data driving model without physical parameters is obtained; meanwhile, a control sequence of a high-rate control period is generated at a time in slow-rate interruption by using an interpolation time translation prediction method; then, the high-rate interruption is only responsible for executing the pre-calculated control sequences one by one in sequence; due to the fact that correction based on the latest identification model is achieved on each high-speed control point, and the calculation burden of high-speed interruption is extremely low, the method fundamentally solves the problems of calculation real-time constraint and model parameter dependence in high-frequency control, and therefore high-robustness quasi cycle-by-cycle control of the high-frequency motor driving system is achieved.

This invention relates to the field of spatial distribution management technology for power distribution circuit elements, and discloses a digital map system integrating BIM and GIS dynamic element synchronization functions. The system extracts the pose increment data of distribution circuit node entities in the local space of the building information model, and calculates the scale projection coefficient based on their physical reference coordinates in the geodetic coordinate system. The pose increment data is weighted and mapped by the scale projection coefficient to generate a standardized pose vector, and the spatial landing point is corrected by combining electrical topology constraint rules. This invention effectively solves the spatial tearing and cumulative drift problems caused by cross-scale mapping, realizes the accurate alignment between the logical connection state and physical spatial pose of distribution node entities, and ensures the physical authenticity of the topology structure in power system monitoring.