2results about How to "Accurately draw" patented technology

This invention relates to a practical laser spot localization method for array detectors based on radial basis function (RBF) neural networks, belonging to the field of detector technology. It utilizes RBF neural networks to achieve high-precision localization of laser spots. The RBF neural network is designed and trained, using the training set as the input layer and the output layer as the predicted spot position. The parameters and number of neurons are continuously trained and adjusted. The test set is input into the trained neural network to predict the spot position, and the effectiveness of the RBF neural network is tested. This invention has fewer parameters, lower computational load, higher accuracy, and is applicable to n*n multi-module array detectors. Furthermore, the experimental acquisition process in this application uses a quadrant detector, making the operation relatively simple.

The invention relates to an automobile chassis dynamometer resistance and inertia simulation measurement system and method, and belongs to the technical field of automobile performance testing, and the system comprises a multi-axis force measurement module, an environment compensation module, a multi-source data acquisition module, a dynamic dynamometer module and other core assemblies. Vehicle resistance information is collected through a multi-axis force transducer and is corrected in combination with environmental factors, accurate simulation of resistance and inertia of a target vehicle is realized by using a kinetic model and a PID algorithm, and error information is further calculated to optimize a test result. According to the invention, the technical effects of improving the resistance and inertia simulation precision and enhancing the measurement reliability and adaptability are achieved.