9results about How to "Achieve early warning" patented technology

The application provides a kind of running state monitoring method, system, equipment and vehicle of vehicle-mounted SoC, it is related to vehicle-mounted chip technical field, this scheme is by deploying monitoring agent in target SoC application layer, and is combined with independent monitoring unit, realize all-around real-time monitoring to chip running state.System periodically acquires multidimensional state parameter transmission to independent unit and carries out comparison analysis: when parameter exceeds primary threshold value, generate early warning signal and save log to realize early risk early warning;When parameter exceeds secondary threshold value, trigger fault response and send forced reading instruction to target SoC.The mechanism ensures that when a serious fault occurs, the key data in the SoC memory can be forced to save to the storage unit powered by the vehicle constant power KL30.The present scheme effectively solves the defects of single monitoring dimension, log loss and early warning lag in the prior art, significantly improves the fault diagnosis capability and functional safety level of the vehicle system.

The application discloses a wind turbine gearbox cooling system fault prediction system and method in the technical field of wind power generation fault diagnosis, which comprises the following steps: collecting multiple source operation parameters of a wind turbine gearbox lubricating cooling system in real time; calculating key performance indicators reflecting the performance of the lubricating cooling system based on the multiple source operation parameters, and extracting features, wherein the key performance indicators at least include a cooling performance ratio; performing performance degradation identification and fault prediction based on the time sequence change trend of the key performance indicators; and outputting the performance degradation identification and fault prediction results. By introducing the comprehensive performance indicator of the cooling performance ratio, the application can sensitively identify the progressive degradation of the cooling system, overcome the defects of the traditional single parameter threshold alarm lag and fault positioning ambiguity, and provide an effective means for realizing predictive maintenance of the wind turbine.

The application discloses a kind of based on multi-source association analysis's power battery thermal runaway detection method and system, belong to power battery field.The method includes: according to vehicle state, charging state, single number judges whether vehicle triggers high charging low discharging or low charging high discharging early warning;Under charging condition, according to the signal collected by vehicle judges whether vehicle triggers power battery water inlet or liquid leakage insulation risk early warning;According to vehicle state and collected historical data judges whether vehicle triggers battery overuse early warning;Monitoring the voltage difference of each single battery, judges whether triggers pressure difference early warning;After vehicle triggers high charging low discharging or low charging low discharging risk early warning, according to the single number of early warning output judges whether triggers temperature anomaly early warning;Based on preset early warning strategy judges whether vehicle triggers battery thermal runaway risk early warning.The application realizes multiple power battery risk early warning by integrating multi-source data, and realizes early warning of thermal runaway based on preset comprehensive early warning strategy.

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.

The invention discloses a rock fracture seepage-corrosion experiment opening distribution in-situ monitoring device based on resistivity tomography and a test method thereof. The rock fracture seepage-corrosion experiment opening distribution in-situ monitoring device comprises a transparent interface model unit, a circulating fluid supply unit, an automatic switching valve group and an effluent collecting and monitoring unit. The transparent interface model unit forms an interlayer space by upper and lower transparent plates; the circulating fluid supply unit comprises an acid corrosion liquid storage tank and a clear water storage tank; the automatic switching valve group periodically switches the flow path; the effluent monitoring unit collects ion concentration, particle content and seepage parameters in real time. The permeability evolution is inversed by monitoring the pressure difference change, the corrosion rate and the scouring falling amount are calculated in combination with waste liquid analysis, and an accumulated degradation index and a failure threshold value are introduced to realize intelligent judgment. According to the method, the chemical-hydraulic coupling effect in the underground environment can be truly reproduced, the interface degradation mechanism is visually revealed, the long-term durability of the grouting interface is quantitatively evaluated, and a scientific basis is provided for grouting material optimization, mix proportion optimization and engineering life prediction.

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.