4results about How to "Simple data" patented technology

A battery diagnostic apparatus according to embodiments disclosed herein can include an interface to acquire open circuit voltage (OCV) data of battery cells, and one or more processors to calculate, based on the OCV data, an OCV deviation for each of a plurality of battery cells included in a specific battery module, the OCV deviation indicating a difference between an OCV of the battery cell and an average OCV corresponding to a specific point in time, acquire a plurality of OCV moving averages by applying different weighted moving averages to the OCV deviations, and diagnose an abnormality of the battery cell based on the plurality of OCV moving averages.

The application discloses a fabric material identification method based on near-infrared spectroscopy, and the method comprises the following steps: acquiring multiple near-infrared spectrum data of a fabric to be measured, performing first-order derivation processing on the data, performing normalization processing on part of wave bands of one of the first-order derivation data, performing PCA dimension reduction processing on all the first-order derivation data, combining the characteristic data obtained through the normalization processing and the dimension reduction processing, and then performing MLP classification processing to realize identification of the fabric material. The application has the characteristics of high identification accuracy, high speed, simplicity, convenience, higher intelligence, and no damage to the fabric.

The application provides a shaving morphology detection method and system based on AI computer vision technology, and belongs to the technical field of shaving morphology detection. The method comprises the following steps: obtaining a shaving image to be detected; performing image preprocessing on the shaving image to be detected to obtain an image-preprocessed shaving image to be detected; performing shaving size detection on the image-preprocessed shaving image to be detected to obtain a size detection result of the shaving; inputting the image-preprocessed shaving image to be detected into a preset shaving shape recognition model to recognize the shape of the shaving and obtain a shape recognition result of the shaving; and determining the morphology of the shaving to be detected based on the size detection result of the shaving and the shape recognition result of the shaving. The AI intelligent vision technology is used to realize intelligent recognition and detection of the shaving morphology, the shaving morphology representation method is improved, the precision and efficiency of the shaving morphology detection are improved, and the shaving board production process can be accurately diagnosed, and the quality of the shaving board can be predicted.

The utility model discloses intelligent equipment of billiard separation angle measurement, including the main controller chip with infinite transmission function, inertial measurement unit (IMU), power management module, the monitoring position one (a1) of equipment through the connector with the bottom connection of the ball handle or the monitoring position two (a2) of embedding equipment in the ball handle inside, the angle change condition of corresponding separation angle is measured through the direction of moving the ball handle. The main controller chip with infinite transmission function is mainly responsible for data processing and and mobile terminal communication, and inertial measurement unit (IMU) is used to gather posture change data, and power management module is responsible for power supply, and the equipment is fixed on the ball handle with the help of the ball handle as reference line, and the angle change condition of corresponding separation angle is measured through the direction of moving the ball handle.