5results about How to "Achieve early warning" patented technology

The application is suitable for the technical field of agricultural monitoring, and particularly relates to a smart agricultural monitoring method and system.The method comprises the following steps: delimiting a target area requiring disease and pest monitoring, and dividing the target area into a plurality of sections, selecting monitoring points, irradiating the sections by using light source devices previously arranged at the monitoring points, and clustering the light source devices into a fixed group and an adjustable group; starting the light source devices of the fixed group, collecting spectral reflectance data at each monitoring point, wherein each wave band corresponds to a reflectance, drawing a plurality of spectral curves, and identifying the change trend of each spectral curve.The application can adjust the irradiation angle, optimize the light coverage, reduce the monitoring dead angle, meet the monitoring requirements of different leaf orientations and plant structures, greatly improve the monitoring accuracy, and improve the disease and pest control efficiency and intelligent level of crops.

The utility model discloses a kind of monitoring devices of broken resin, including being arranged on the fine treatment mixed bed fine treatment mixed bed import sampling point and fine treatment mixed bed export sampling point, fine treatment mixed bed import sampling point and fine treatment mixed bed export sampling point are connected with cooling device entrance, cooling device outlet is divided into two routes, one road is connected with fine treatment mixed bed import on-line TOCi analyzer and DCS host computer display system, another road is connected with DCS host computer display system through fine treatment mixed bed export on-line TOCi analyzer.The utility model can monitor mixed bed inlet and outlet water TOCi value and its change trend in real time.Once detection value is abnormally increased (indicating resin broken leakage), system can send alarm in time, it is convenient for fast response and processing, avoid water vapor system pollution.

This invention discloses a method and system for precise positioning of cattle in a pen. The method involves deploying a Bluetooth beacon network within the pen, collecting RSSI signal strength data and RTT ranging data between positioning tags and each Bluetooth beacon node, and fusing the data using a secondary improved algorithm for edge estimation based on independent set queries to generate an initial set of cattle position coordinates. A grid map is then established based on the pen's structural features, and optimized using a low-diameter wiring decomposition technique and a fully dynamic algorithm. A static structure database of pen locations is established, and a Bayesian probability model is constructed using the initial position coordinate set to generate a mapping relationship between cattle and pen locations. The positioning results are optimized using an adaptive robust resettable flow algorithm to generate the final positioning result. A virtual geofence is then established based on the final positioning result to monitor and generate real-time status warning information for the cattle.

This application relates to a data processing method, system, electronic device, and storage medium for wind turbine generator sets. The method includes: real-time acquisition and uploading of multi-dimensional operational data from the wind turbine generator set; preprocessing and normalizing the multi-dimensional operational data, and extracting key features from the processed data using a convolutional neural network to obtain key feature data; acquiring historical datasets and a Logistic regression model, training the Logistic regression model based on the historical dataset to obtain the fault early warning model; calculating the probability of fault occurrence using the fault early warning model on the key feature data, and issuing an early warning signal when the probability of fault occurrence exceeds a preset threshold. Through precise data processing and model training, higher model fit and smaller prediction errors are ensured, enabling more accurate prediction of faults in the wind turbine generator set's drivetrain, achieving early warning, and improving the accuracy and reliability of fault early warning.

The application discloses a surface cover change detection method based on multi-temporal remote sensing images and relates to the technical field of natural resource law enforcement and ecological protection supervision; the method comprises the following steps: obtaining monthly multi-temporal remote sensing images covering 12-24 months, basic geographic information data and ecological function regionalization data and performing pretreatment; performing per-pixel time series decomposition on the standardized images, extracting change starting time, duration, change rate and stage spectral characteristics, and constructing change behavior fingerprints of each pixel; generating to-be-detected change map spots through spatial clustering; performing similarity matching on the change behavior fingerprints of the map spots and a pre-trained standard behavior fingerprint library, identifying surface cover change types; and finally, calculating the severity of illegal activities and evaluating ecological hazards, and generating a dynamic law enforcement report. The application breaks through the static thinking of traditional double-temporal change detection, can automatically identify multiple illegal activity types and evaluate ecological hazards.