10results about How to "Exclude external interference" patented technology

The invention relates to the technical field of battery thermal performance measurement, in particular to a method for measuring the specific heat capacity of an energy storage battery. The theoretical model is calibrated by monitoring the cooling curve of the battery so as to ensure that the heat transfer characteristic of the battery is accurately reflected. Then, constant-power heating is adopted, so that the thermal field of the battery reaches a quasi-steady state, and in the steady state, the temperature change is gradually consistent; and recording a temperature change curve in real time through a temperature acquisition instrument, and calculating the specific heat capacity of the battery in combination with the calibrated model and a constant power input condition. According to the method, only the voltage-stabilized power supply and the temperature acquisition instrument are needed, so that the cost is greatly reduced; the measurement precision is improved through temperature change curve analysis after model calibration, and the problems that in a traditional method, environmental interference is large, and precision is insufficient are solved; the time for reaching the quasi-steady state is shortened through constant-power heating, and the measurement process is accelerated. The method is suitable for various energy storage batteries, can meet the requirements of industries such as electric automobiles and electric energy storage on the thermal performance of the batteries, and has wide popularization value.

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.

This application discloses a passive nuclear level gauge using multi-photomultiplier tube electrical signal synthesis, relating to the field of industrial measurement technology. It includes: N photomultiplier tubes, at least one scintillation crystal, N signal acquisition modules, an electrical signal synthesis module, and a processing module. The processing module includes: a first electrical signal interface; the photosensitive surface of each photomultiplier tube is connected to the optical output end of the scintillation crystal; the N photomultiplier tubes are connected one-to-one to the input ends of the N signal acquisition modules; the output end of the electrical signal synthesis module is connected to the first electrical signal interface of the processing module; and the N input ends of the electrical signal synthesis module are connected one-to-one to the output ends of the N signal acquisition modules. This application can achieve the identification of weakly radioactive materials or materials at long distances through multi-photomultiplier tube electrical signal synthesis, greatly improving the detection performance of the passive nuclear level gauge.

The utility model discloses a portable auxiliary device for measuring the conductivity and the pH value of purified water, relates to the technical field of biological medicine, and aims to solve the problems that in the prior art, in the daily monitoring and inspection process of purified water, an operator needs to take samples from a plurality of water taking points to an analysis laboratory for measurement, the time span of the whole process is large, and the operation is inconvenient. And the measured values of the conductivity and pH of the purified water may be too high due to long-time contact with air, so that verification personnel are easily misled. The micro water tank is connected with a purified water drainage pipe, a first jacket for fixing the purified water drainage pipe is arranged on the micro water tank, an electrode is arranged on the micro water tank, the electrode is electrically connected with a pH conductometer, a second jacket for fixing the electrode is arranged on the micro water tank, and the electrode is electrically connected with the pH conductometer. A water level partition plate is arranged in the miniature water tank, and a water outlet pipe is arranged below the miniature water tank.

The present invention discloses a method and system for accurately landing a UAV based on image recognition and analysis, which specifically relates to the technical field of aircraft landing, and aims to solve the problem of the influence of jitter interference caused by micro-airflow on landing accuracy; by real-time detection of the posture changes of the UAV during the landing process, the jitter signal strength is identified and it is judged whether it is abnormal; when the jitter is abnormal, multi-frame image superposition processing is performed to generate a stable image sequence; based on multi-resolution fractal dimension analysis, subtle texture disturbances between adjacent frames are detected to compensate for the nonlinear effects brought by micro-airflow; the jitter trajectory is recorded and the relative displacement of the landing target is calculated by inverse trajectory reconstruction; the convolutional neural network is combined to extract the calibrated landing area features, generate the offset compensation value of the landing point and dynamically correct the landing path; the present invention improves the landing accuracy of the UAV in complex environments and provides a reliable guarantee for the automatic landing of the UAV.

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 present invention discloses a method and system for estimating the envelope size of an airborne A-E type flat panel antenna, and relates to the field of antenna measurement technology, including obtaining a sample data set of an A-E type flat panel antenna; constructing and training an end-to-end deep learning model based on the sample data set of an A-E type flat panel antenna; placing the A-E type flat panel antenna to be estimated on a multi-axis measurement platform, and collecting the geometric parameters of the A-E type flat panel antenna through a three-dimensional scanner; applying a working frequency band signal to the A-E type flat panel antenna using a spectrum analyzer, and measuring and recording the corresponding electromagnetic wave parameters under the working frequency band; inputting the geometric parameters and electromagnetic wave parameters of the A-E type flat panel antenna to be estimated into the trained end-to-end deep learning model, and outputting an envelope size estimation value. The present invention adopts an integrated learning strategy to fuse the prediction results of multiple heterogeneous models, thereby improving the accuracy and robustness of the prediction, and realizes adaptive adjustment of model parameters through laser ranging and error analysis, thereby ensuring that the prediction accuracy always meets the requirements.

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.