6results about How to "Solve the delay problem" patented technology

A traffic control method and network system for service data backhaul, applied to a network system comprising N terminals and a gateway, wherein at least two terminals use different communication modes to perform service data backhaul operation with a server through the gateway, characterized in that the method obtains decision information of each time slot in a future preset period by time slot by time slot, and controls the data transmission operation of the terminal and the gateway based on the decision information, so that the weighted sum of the average transmission delay in the service data transmission process of each terminal and the average transmission delay in the service data forwarding process of the gateway is minimized in the entire preset period, effectively controlling the data queuing delay on the terminal side and the gateway side, and realizing efficient backhaul of data.

This invention relates to a distributed energy collaborative optimization method based on a cloud-edge-device architecture, belonging to the field of smart microgrid technology. Technical solution: S1. Define a four-layer cloud-edge-device architecture; S2. Information transmission stage: Information is reported upwards and circulated and transmitted at the same level; S3. Demand optimization stage: Demand is decomposed downwards and optimized collaboratively at the same level; S4. Energy flow stage: Energy is aggregated upwards and interacts and communicates at the same level. This invention, through its designed four-layer cloud-edge-device architecture, enables distributed energy to shift from centralized control to active participation in demand response. Based on this, a distributed energy collaborative optimization method based on the cloud-edge-device architecture is further designed, achieving full-domain collaborative optimization of distributed energy. Firstly, it reduces the response error of distributed energy; secondly, it effectively reduces the response time of distributed energy, solving the problem of excessive computing power in traditional centralized control; and thirdly, it reduces the operating cost of distributed energy, addressing the high operating cost of distributed energy.

The application relates to integrated chip testing technology and discloses a verification platform of an SOC system, which comprises an FPGA and a peripheral board, wherein the FPGA comprises a logic control module and a plurality of bidirectional ports, and the peripheral board is connected with the SOC system through the FPGA; a data sending end of the SOC system is connected with an input end of the bidirectional port; a bidirectional transmission end of the bidirectional port is connected with a transceiving multiplexing end of the peripheral board through the FPGA; and the bidirectional transmission end of the bidirectional port is also connected with a data receiving end of the SOC system; and an output end of the logic control module is connected with a control end of the bidirectional port. The application also provides a verification platform control method, a control device and a computer readable storage medium of the SOC system. The application solves the problem of insufficient I / O pin numbers of the FPGA when the SOC system is verified based on the FPGA, and guarantees the stability of the test on the SOC system.

The invention relates to a dynamic cell switching method and device based on resource allocation, and the method comprises the steps: receiving a cell switching request sent by user equipment, the cell switching request comprising the current geographic position, the target geographic position and the required resource information of the user equipment; determining the moving speed of the user equipment according to the cell switching request, and calculating a target moment when the user equipment reaches the target geographic position based on the moving speed, the current geographic position and the target geographic position; when the target moment is reached, determining at least one candidate cell corresponding to the target geographic position, and screening out a target cell from the at least one candidate cell; allocating communication resources of the target cell to the user equipment based on the required resource information; and switching the user equipment from the source cell to the target cell by using the allocated communication resources. According to the scheme, traditional passive response type switching is converted into prospective resource scheduling, and the problems of long switching time delay and insufficient resource utilization are effectively solved.

This invention provides a multi-channel analog-to-digital signal acquisition system, comprising: a channel selection module for selecting and switching multiple analog signals and digital signals using an analog switch chip, and inputting the selected signal into a multi-channel analog-to-digital converter for sampling; an analog-to-digital conversion module for configuring key parameters of the multi-channel analog-to-digital converter and designing the circuit; a processing and control module for performing data processing and communication tasks using a microcontroller and configuring a real-time operating system for task scheduling; a communication module for real-time data transmission and display with a host computer using a standardized interface and selecting an appropriate communication protocol for communication and testing; and a power management module for configuring a highly integrated power management chip, designing low-power strategies, and performing real-time monitoring and management. This invention significantly improves the quality, efficiency, and accuracy of the acquired data, enhances system performance and compatibility, and promotes the intelligent development of the system.

This application discloses a method, apparatus, device, and storage medium for obstacle avoidance in AGV (Automated Guided Vehicle) transportation, belonging to the field of AGVs. The method includes: acquiring point cloud coordinates, wherein the point cloud coordinates are obtained by scanning the pallet legs with a LiDAR scanner, and the point cloud coordinates are in a coordinate system with the center of the AGV vehicle as the origin; obtaining an estimated pose by matching the pallet pose set based on the point cloud coordinates; and determining the target point cloud coordinates from the point cloud coordinates based on the estimated pose. In this application, after scanning to obtain the point cloud coordinates of the pallet legs, the current pose of the pallet on the AGV vehicle is obtained by matching the point cloud coordinates, and the point cloud coordinates of the pallet legs are determined based on the current pose. The current pose can be quickly obtained from the scanned point cloud coordinates, enhancing real-time performance and avoiding the latency problem that occurs when the point cloud coordinates of the legs need to be distinguished only after training the model. That is, it improves the obstacle avoidance accuracy of the AGV vehicle during transportation.