3 results about "Hide node" patented technology

The application provides a vehicle networking fairness transmission method based on convex optimization and reinforcement learning, and belongs to the technical field of vehicle networking and data transmission. The technical scheme is as follows: S1: an improved confirmation ACK frame and a data DATA frame are designed to realize hidden node detection; S2: mathematical modeling of the transmission fairness problem; S3: fairness transmission based on convex optimization and reinforcement learning. The application effectively discovers hidden nodes, alleviates transmission conflicts caused by hidden nodes by improving the transmission power and the 'continuation' field of the data frame DATA, and finally improves the throughput; the reinforcement learning and convex optimization method are used to jointly optimize the transmission strategy, solve the minimization problem of the difference between the transmission data amounts of fast and slow vehicles, and improve the data fairness of vehicle networking transmission.

The application relates to the technical field of control cabinets, in particular to a control cabinet remote intelligent diagnosis method and system based on multi-source data fusion, which comprises the following steps: acquiring a visible light image, infrared thermal image data and loop current of a target control cabinet; based on semantic analysis of the visible light image, a hidden node that is shielded is identified, a heat conduction agent area is locked and a central skeleton path is extracted; the heat conduction agent area is analyzed to determine a temperature rise gain strategy, the infrared thermal image data is compensated to generate corrected temperature rise data; a temperature gradient vector of the infrared thermal image data along the central skeleton path is calculated, and a heat source position feature is output based on the directivity of the temperature gradient vector relative to the hidden node; a theoretical heat production potential is generated based on the loop current, and a logic interlocking criterion is constructed. The application can realize accurate reverse attribution of hidden contact faults under non-line-of-sight conditions through multi-modal logic decoupling.

The application provides a vehicle networking fairness transmission method based on convex optimization and reinforcement learning, and belongs to the technical field of vehicle networking and data transmission. The technical scheme is as follows: S1: an improved confirmation ACK frame and a data DATA frame are designed to realize hidden node detection; S2: mathematical modeling of the transmission fairness problem; S3: fairness transmission based on convex optimization and reinforcement learning. The application effectively discovers hidden nodes, alleviates transmission conflicts caused by hidden nodes by improving the transmission power and the 'continuation' field of the data frame DATA, and finally improves the throughput; the reinforcement learning and convex optimization method are used to jointly optimize the transmission strategy, solve the minimization problem of the difference between the transmission data amounts of fast and slow vehicles, and improve the data fairness of vehicle networking transmission.