6results about How to "Improve real-time detection" patented technology

This invention discloses a gas pipeline leak detection method based on the random forest algorithm, relating to the field of gas leak detection. The invention first collects and preprocesses monitoring data from combustible gas sensors in the gas pipeline, then extracts features from the preprocessed data and assigns classification labels based on actual leak conditions, constructing a gas pipeline leak detection dataset. Using this dataset as training samples, a model is trained based on the random forest algorithm to obtain a gas pipeline leak detection classification model. Finally, real-time monitoring data from each combustible gas sensor during gas pipeline operation is input into the trained classification model, and the pipeline leak status is determined based on the model's output. This invention, through standardized data preprocessing, feature engineering, model training, and parameter optimization processes, can achieve accurate identification and early warning of gas pipeline leak status, effectively improving the accuracy and efficiency of leak detection.

The embodiment of the invention discloses a trailer mounting state detection method and device, electronic equipment and a storage medium. The method comprises the steps that a first detection area is determined based on the predicted pose of a trailer at the first moment; under a preset coordinate system, generating a first occupation grid chart based on the point cloud in the first detection area; a second detection area is determined on the basis of the predicted pose of the trailer at the second moment, the size of the second detection area is the same as that of the first detection area, and the trailer moves under traction of a tractor within the time period between the first moment and the second moment; under the preset coordinate system, generating a second occupation grid chart based on the point cloud in the second detection area; and determining whether the trailer is mounted at the tail of the tractor or not according to the first occupation grid chart and the second occupation grid chart. The detection accuracy of the trailer hanging state is improved, and meanwhile the delay time of the detection result is shortened.

The application discloses a kind of open area unmanned aerial vehicle real-time moving target detection method, including the following steps: open area moving target dataset construction, the dataset suitable for open area moving target detection is constructed;Baseline establishment of airborne detection model, the lightweight baseline network containing only shallow high-definition features is constructed;Multi-scale target detection module is established;Anti false target loss function is established;Two-stage real-time inference detection on machine, after inverse mapping back to full map of detailed frame, high-confidence frame is output final detection result after non-maximum suppression.This open area unmanned aerial vehicle real-time moving target detection method is set through the above steps, significantly improve the real-time detection of model in unmanned aerial vehicle airborne environment, ensure that detection result is instant feedback, can be well applied to the real-time detection demand of moving target under open area.

The invention discloses a double-path pulse counting-based low-power-consumption self-checking bubble sensor, which comprises a control chip MCU (Microprogrammed Control Unit) module, a double-pulse ultrasonic wave generation driving circuit, an ultrasonic wave transmitting terminal, an ultrasonic wave receiving terminal, a signal amplification circuit and a signal comparator, and is characterized in that the control chip MCU module is connected with the double-pulse ultrasonic wave generation driving circuit; the double-pulse ultrasonic generation driving circuit is connected with the ultrasonic transmitting terminal, the ultrasonic transmitting terminal and the ultrasonic receiving terminal are oppositely arranged, the ultrasonic receiving terminal is connected with the signal amplifying circuit, the signal amplifying circuit is connected with the comparator, and the comparator is connected with the control chip MCU module. By adopting the technical scheme, the low-power-consumption self-checking bubble sensor and method based on double-path pulse counting have the advantages of low power consumption, high real-time performance, self-checking function, high accuracy and product miniaturization.

The present invention relates to the field of sensor technology and humidity detection, and in particular to a low-humidity detection method and system of a QCM sensor based on high-resolution phase detection. The optimized miniaturized structure is particularly suitable for high-precision QCM applications, enhancing the resolution of humidity detection and the overall stability of the system; in order to ensure the high precision of phase detection, a phase shift circuit is introduced at the signal source end to solve the binary and nonlinear problems of traditional phase output. The high-precision DDS frequency source and conditioning circuit adopted ensure the stability of the amplitude of the driving signal, avoid the oscillation pause phenomenon of the sensor, and improve the working stability and signal quality of the system; an adaptive frequency stepping strategy based on phase voltage feedback is adopted to achieve rapid locking and fine adjustment of the resonant frequency of the quartz crystal. When far away from the resonance point, a large step length is used for rapid approximation, and when close to the resonant frequency, it switches to a small step length mode to balance the detection speed and accuracy, greatly improving the detection efficiency and real-time response capability.