1results about How to "High stability requirements" patented technology

The present application relates to a resonance sensor reading self-adaptive optimization method and system based on reinforcement learning, comprising the steps of: integrating the current sampling spectrum local maximum value set, the historical sampled spectrum local maximum value point set and its linear compensation trend to construct a state space vector, and taking it as the input of the reinforcement learning strategy network; fusing the action based on the strategy network output, the fusion action including the historical local selected maximum value point selection action and the corresponding compensation action, and the fusion action being used to simultaneously realize the spectrum peak value determination and the frequency correction; the present application can fully utilize the historical information and dynamic characteristics of the sensor by introducing the modeling method based on reinforcement learning, realize the real-time optimization of the reading, and overcome the problem that the traditional fixed filtering or single point correction method is not sensitive to interference; the fusion action mechanism adopted simultaneously considers the peak value selection and the frequency compensation, and significantly improves the anti-noise and anti-vibration ability of the resonance sensor in complex environment.