5results about How to "Ensure accelerated performance" patented technology

Embodiments of the present disclosure provide a wireless charging test method, device and equipment for a vehicle. The method comprises: determining a test function; generating a test instruction corresponding to the test function; sending the test instruction to the wireless charging panel; monitoring state information fed back by the wireless charging panel after receiving the test instruction; and determining whether the test function of the wireless charging panel passes according to the state information. In this way, a unified operation paradigm and data collection standard are provided for all wireless charging tests, differences in test results caused by inconsistent test steps, conditions or evaluation criteria are eliminated, the accuracy of test results is improved, and since the test instruction is automatically generated and sent by the test host and the state information is automatically monitored and determined, the test efficiency and automation level can be significantly improved.

The application relates to the technical field of computers and discloses a general transmission control system bus signal simulation method.The method comprises the following steps: acquiring device node topology, protocol types and historical load data; constructing a bus network abstract model; extracting a message flow timing template; generating a concurrent message scheduling sequence conforming to arbitration logic; fusing a high-fidelity signal base; superimposing physical layer interference signals based on measured data; and injecting a measured system through a hardware-in-the-loop interface.The system comprises bus topology analysis, network modeling, timing template extraction, scheduling generation, signal fusion, interference injection and hardware output modules.The method significantly improves test authenticity, coverage and platform universality through joint modeling of logic and physical layers.

The present application provides a kind of coal mine water exploration intelligent management and control system and method, comprising: data acquisition module, for real-time acquisition in the process of coal mine water exploration multiple-source data;Data processing module, using microservice architecture and component design, for standardization integration and management to multiple-source data;Intelligent analysis module, for real-time analysis based on artificial intelligence machine vision technology to construction process video stream, including identifying drill rod quantity, personnel behavior and equipment state, and by three-dimensional modeling to real-time analysis drill hole trajectory;Intelligent early warning module, for according to real-time drill hole trajectory data and the dynamic comparison of preset design parameter, constructs multidimensional deviation early warning model, realizes risk classification early warning;Visual module;Management module.The present application realizes the whole process intelligent management and control of water exploration, effectively eliminates false exploration, leak exploration and other illegal behaviors, significantly improves the safety management level of coal mine water disaster prevention.

The invention relates to the technical field of talent management, and discloses a talent ability evaluation and post matching system based on a knowledge graph, and the system comprises a data processing module which collects individual information and target industry information, converts the individual information into an individual ability vector, and converts the target industry information into an industry demand vector; the graph construction module is used for constructing a cross-industry knowledge graph through multi-source knowledge fusion; the skill migration module is used for calculating skill migration complexity and a capability gap vector; the path planning module is used for generating a plurality of transformation paths and selecting an optimal transformation path based on a transformation path scoring function; according to the method, accurate matching of individual capabilities and post requirements is realized by constructing the cross-industry knowledge graph, and cross-industry skill migration paths can be identified, so that the system can discover potential matching opportunities which are difficult to identify by a traditional method, and the most suitable development paths are recommended for individuals.

The invention relates to the technical field of glass seal welding process optimization and defect prediction, in particular to a glass seal welding process optimization and defect prediction method based on deep learning. The method comprises the following steps: firstly, acquiring multi-source sensor electric signal data of a welding furnace in real time, and synchronizing and preprocessing to form a standard time sequence data sequence; and then, inputting the data sequence into a pre-trained multi-task deep learning model, and synchronously realizing dynamic process optimization and early defect prediction by the model through a shared feature extraction network and two parallel task branch networks. After the process is finished, the system associates an actual quality result with process data to form an incremental sample, and performs online fine adjustment on the model based on an intelligent trigger mechanism and an anti-forgetting algorithm, so that the system can adapt to changes of equipment and materials. According to the invention, the transformation of the glass seal welding process from fixed parameter control to real-time closed-loop intelligent optimization is realized, and the product yield, the process stability and the production intelligence level are effectively improved.