3results about How to "Accurate start" patented technology

The application discloses a control circuit for an electronic cigarette and the electronic cigarette, and the control circuit for the electronic cigarette comprises a heating module, a capacitive sensor, a constant current source, a timing module and a control module; the heating module is arranged in the inside of a shell; the capacitive sensor is arranged in a circuit area of the shell, and the air flow blown by a user along an air channel and an air inlet hole changes the capacitance value of the capacitive sensor; the constant current source charges the capacitive sensor; the timing module is electrically connected with the constant current source and is used for calculating the charging duration of the constant current source to obtain a target charging duration; wherein the target charging duration is determined according to the capacitance value of the capacitive sensor; the control module is electrically connected with the timing module and the heating module, and is used for determining the state information of the capacitive sensor according to the target charging duration and a preset duration range, and controlling the heating module to start or shut down according to the state information. The application can improve the accuracy of starting and shutting down of the electronic cigarette and reduce the start and stop control caused by misoperation.

The application discloses a diesel generator starting method, an electronic device and a storage medium, and relates to the technical field of data centers, and comprises the following steps: acquiring a commercial power current parameter and a commercial power voltage parameter of a data center, and determining a loss-of-flow and loss-of-voltage signal based on the commercial power current parameter and the commercial power voltage parameter; acquiring a commercial power frequency parameter of the data center, and determining a frequency detection signal based on the commercial power frequency parameter; in the case that the loss-of-flow and loss-of-voltage signal is detected to be a loss-of-flow and loss-of-voltage effective signal, and the frequency detection signal is detected to be a frequency abnormal signal, determining a time window matching result based on the loss-of-flow and loss-of-voltage signal and the frequency detection signal; in the case that the time window matching result is detected to be a time window matching success, determining a target generator starting strategy based on the commercial power frequency parameter, and starting the diesel generator according to the target generator starting strategy. The application improves the starting accuracy of the diesel generator, and ensures that the diesel generator can be accurately started when there is power supply abnormity in the data center.

The application discloses a kind of geometric defect identification and processing method based on AI big model, it is related to aerospace engineering field.The method aims at solving the problem of low efficiency and poor accuracy of aircraft CAD model geometric defect artificial repair.The steps include: first, CAD assembly body model is intelligently segmented into multiple sub-components;Second, the part geometry is converted into a structured feature representation, and a multi-task hierarchical graph neural network model incorporating domain knowledge is trained using labeled data;Then, the model is used to identify defects in sub-components, outputting defect type and spatial location information;Finally, according to the identification results, the repair topology is connected first, and the geometric anomaly is processed in sequence, and a watertight surface mesh is generated.The application realizes the whole process automation of geometric defect identification and repair, greatly improves the pre-processing efficiency and quality, and reduces the dependence on expert experience.