5results about How to "Exclude external interference" patented technology

This invention discloses a crane safety operation control system and method based on machine vision and energy optimization management, belonging to the field of crane safety operation technology. Based on visual acquisition, this invention performs pre-operation benchmark calibration and dynamic data capture during operation, achieving full-cycle data traceability and synchronization based on timestamps. This clarifies the safety boundaries of the operation area and the initial state of the equipment, avoiding deviations and lags caused by data asynchrony, and ensuring the overall process is consistent and reliable. Visual data preprocessing eliminates external interference, and precise feature data is output using a safety benchmark model. Coupled with a tiered early warning mechanism, it accurately predicts operational anomalies and the risk of live intrusion and responds accordingly, achieving layered control of safety risks. By aligning visual data and operating parameters with timestamps to generate a fused dataset, and outputting safety levels and corresponding control signals through quantitative scoring, the objectivity and relevance of the assessment are improved, ensuring precise matching between control actions and safety states.

The application discloses an intelligent control device and method for self-checking and early warning of a mechanical arm vacuum state, and belongs to the technical field of semiconductor manufacturing equipment. The device comprises: a carrying mechanism, a vacuum adsorption circuit integrated on the mechanical arm of the carrying mechanism, the vacuum adsorption circuit comprising a vacuum adsorption end, a vacuum generator and a vacuum pressure sensor; a vacuum self-checking unit platform, the platform being used for positioning and placing a standard wafer and providing a constant physical reference surface for the vacuum adsorption end when the mechanical arm moves to the platform to perform an adsorption action; and a controller, which is in communication connection with a motor servo driver, the vacuum generator and the vacuum pressure sensor, and is configured to dynamically update a vacuum alarm threshold value in a normal production process based on a load vacuum self-checking value acquired at the self-checking platform, and to give an early warning when a real-time value does not reach the threshold value. The device excludes the interference of external production variables, solves the false alarm problem caused by a fixed threshold value by dynamically updating the threshold value, and realizes accurate and adaptive preventive diagnosis of the real sealing state of the vacuum circuit.

The utility model discloses laser engraving equipment, which belongs to the technical field of laser engraving equipment and comprises an equipment main body, a focal length adjusting component and a positioning and clamping mechanism, and the equipment main body is connected with the focal length adjusting component and the positioning and clamping mechanism; the positioning and clamping mechanism comprises a clamping and fixing assembly used for clamping wheels and a position adjusting assembly used for adjusting the positions of the wheels, and the position adjusting assembly is connected with the clamping and fixing assembly and the equipment body. By means of the mode, wheel air holes can be adjusted to preset positions through the positioning and clamping mechanism and the position adjusting assembly according to the detection result of the device body, the clamping and fixing assembly can stably clamp wheels, external interference is eliminated, fine machining of specific positions of the wheels is achieved, the focal length adjusting assembly can adjust the focal length in real time, and focusing is flexible and accurate. And diversified working requirements are met.

The invention relates to the field of water quality detection, and discloses a full-spectrum water quality intelligent analysis system based on dynamic compensation and machine learning, and the system comprises a spectral data acquisition module which is used for acquiring spectral data of a water sample based on a spectrograph; the spectral data upgrading module is used for carrying out smoothing and wavelength relocation processing on the spectral data acquired by the spectral data acquisition module by adopting a moving window polynomial fitting method to obtain upgraded spectral data; and the water quality decomposition and analysis module is used for separating a purification spectrum aiming at a specific water quality index from the upgraded spectrum data by utilizing a pre-trained signal decomposition network, and inputting the purification spectrum into a pre-trained water quality analysis model to obtain a concentration value of the water quality index. According to the method, interference caused by passive pollution of the spectrograph, cross overlapping of spectral information among the water quality indexes and abnormal data can be eliminated, so that the accuracy of full-spectrum water quality detection is improved.

The invention discloses a vestibular function detection system based on a virtual reality technology, and relates to the field of medical detection equipment. The system comprises a head-mounted virtual reality display device with an environment isolation unit and a head posture sensing unit, an eyeball tracking module, a face embedding type physiological signal acquisition module, an interaction control module and a data processing module. The data processing module issues a trigger pulse with a unified system timestamp through the clock synchronization management unit to realize microsecond-level time axis alignment of the multi-source heterogeneous data; meanwhile, physiological signal fluctuation quantity is extracted, an observation noise covariance matrix in the Kalman filtering model is dynamically and adaptively adjusted, and stress microfibrillation noise is accurately filtered out; in addition, a dynamic feedback logic loop is arranged in the system, and visual parameters are automatically degraded when it is monitored that the first-order derivative of the physiological index exceeds the limit. According to the method, visual environment interference is thoroughly eliminated, the problem of high-precision synchronization of multi-modal data is solved, and a safe closed-loop mechanism for preventing severe dizziness is constructed.