7results 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 invention discloses an intelligent vehicle starting method for a coal preparation plant system and the coal preparation plant system.The method comprises the steps that before vehicle starting, equipment abnormal information is visualized, the state of an intelligent unit is confirmed, in this way, potential safety hazards of operation of operators can be reduced, and then whether basic type selection triggering conditions are met or not is judged; and executing a model selection decision algorithm based on the state data of the coal preparation plant system after a basic model selection trigger condition is met to obtain a model selection decision, and starting a vehicle based on the model selection decision. After the vehicle is started, if a dynamic type selection triggering condition is met, a type selection decision algorithm is executed based on the current state data of the coal preparation plant system, and a new type selection decision is obtained; and adjusting the operation of the slack coal system and the lump coal system based on the new type selection decision. And loading the coal into the carriage based on the coal outward transportation order. In this way, automatic and accurate vehicle starting can be achieved, the production efficiency is improved, and resource waste is reduced.

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 invention discloses a preparation method of a limestone-fired clay low-carbon cement-based strong-hydrophobicity high-chlorine-resistance steel bar coating, which comprises the following steps: (1) adding stearate into a methanol dispersion liquid of a double-ligand carrier material, stirring, adding tetraethoxysilane, and continuously stirring for reaction to obtain a slow-release hydrophobic molecule modifier; (2) activating the argillaceous solid waste heat, quenching the argillaceous solid waste heat to room temperature, and grinding the product to obtain activated clay powder; and uniformly mixing the calcined clay with cement clinker, limestone powder and gypsum to obtain the limestone-calcined clay low-carbon cement. And (3) uniformly mixing the slow-release hydrophobic molecule modifier, limestone-fired clay low-carbon cement and water to obtain the steel bar coating. Through the synergistic effect of the limestone-fired clay low-carbon cement and the slow-release hydrophobic molecule modifier, a uniform and stable hydrophobic chlorine-resistant gel network is constructed, the strong hydrophobic and high chlorine-resistant effects are achieved, and the protection effect on the reinforcing steel bars is effectively improved.

The invention relates to a single-chain connector, a method for detecting the tail end of a nucleic acid fragment, a kit and application of the single-chain connector. The single-chain connector disclosed by the invention can be simultaneously connected with the same-side tail end of a to-be-detected double-chain nucleic acid fragment, a protruding tail end sequence of double-chain nucleic acid can be efficiently and accurately captured, and the motif and position information of the tail end of the double-chain nucleic acid can be favorably and accurately identified through sequencing analysis.

The utility model belongs to the technical field of kitchen utensils, and particularly relates to an integrated interlocking lever of a microwave oven interlocking switch device and a switch device, which comprise a door body, a fixed support, a door hook, a first microswitch, a second microswitch, an interlocking lever and a transmission shaft, the interlocking lever is arranged on the door hook and located between the first microswitch and the second microswitch, through the special design of the structure and the position of the interlocking lever, the triggering part of the interlocking lever is accurately matched with the door hook and the two microswitches, and therefore the microswitches are triggered in sequence. Through the arrangement of the components, the structure is simplified, the space layout is optimized, the reliability and the control precision are improved, and meanwhile the production and maintenance cost is reduced.

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.