4results about How to "Realize real-time computing" patented technology

The invention discloses a dynamic monitoring method for a bridge structure section bearing capacity risk coefficient, and the method comprises the following steps: obtaining a structure internal force-deflection fitting curve and a threshold value of the fitting curve through obtaining the deflection and the structure internal force of a bridge structure section response calculation point under the action of vehicle spatial and temporal distribution at a first moment; obtaining and calculating vehicle space-time distribution data in a second time period to obtain structural internal force-deflection curves, comparing slopes of the two structural internal force-deflection curves in the first time period and the second time period, and making a difference; and if the difference value is greater than the set value, indicating that the bearing capacity of the cross section of the bridge structure is abnormal at the moment, and outputting vehicle space-time distribution data of the cross section of the bridge structure at the abnormal moment. And the real-time bearing capacity risk coefficient of the bridge is output through the bearing capacity standard value of the section.

The invention provides a charging efficiency calculation device and method based on a charging pile and a BMS, a terminal and a medium, and the device comprises the steps: collecting the charging pile input electric signal data of the input end of a to-be-detected charging pile and the charging pile output electric signal data of the output end of the to-be-detected charging pile in real time through a data collection module in a vehicle charging process; the battery management system interface module acquires battery BMS data from a battery management system of the vehicle in real time; and the data processing and calculating module calculates the real-time charging efficiency of the to-be-tested charging pile according to the data acquired by the data acquisition module and the battery management system interface module by using a power integration algorithm. According to the method and the system, the architecture of cooperatively monitoring the charging pile and the battery management system is adopted, so that the real-time calculation of the charging efficiency is realized, the loss in the charging process is fully considered, and the efficiency calculation precision is improved; the method can adapt to different types of charging piles and electric vehicles, and has good universality and expansibility.

This invention provides an artificial intelligence algorithm acceleration system and method for real-time junction temperature prediction of IGBTs, including a parameter acquisition module, an artificial intelligence algorithm acceleration module, and a host computer. The parameter acquisition module is used to acquire the saturated on-state collector-emitter voltage VCE(Sat), collector current IC, and substrate temperature TC during IGBT operation. The artificial intelligence algorithm acceleration module is based on a Zynq7000 series FPGA to build a SoC architecture, integrating a dual-core ARM Cortex-A9 processor and a dedicated neural network processor (NPU). The host computer is used to receive the junction temperature prediction results and raw acquired parameters transmitted by the artificial intelligence algorithm acceleration module, enabling real-time data display, historical data storage, junction temperature anomaly alarms, and model parameter calibration. This invention aims to solve the high latency, high communication cost, and data privacy issues of cloud computing solutions through collaborative optimization design of algorithms and hardware, while simultaneously overcoming the bottlenecks in computing power, energy efficiency, and accuracy of existing edge computing platforms.

The invention provides a method for calculating a power instantaneous value during a fault period of a land converter station in an offshore wind plant, and the method comprises the steps: determining a fault phase and the position information of a fault point under the condition that the land converter station has a single-phase grounding fault, and enabling the fault point to be located in a transmission line between the land converter station and a land AC system, determining the input impedance of the fault point, the output current and the power factor of the land converter station and the alternating-current network voltage phasor of the land alternating-current system according to the position information, determining the three-phase voltage of the fault point according to the fault phase, the input impedance, the output current and the alternating-current network voltage phasor, and determining the three-phase voltage of the land converter station according to the output current, the power factor and the three-phase voltage of the fault point. And calculating an alternating current output power instantaneous value of the land converter station. By implementing the method disclosed by the invention, the real-time calculation of the output power of the land converter station during the fault period can be realized, and the accuracy of the obtained alternating current output power instantaneous value can be effectively improved.