15 results about "Early warning system" patented technology

The invention discloses a geological disaster early warning system. The geological disaster early warning system comprises: a data collection module used for obtaining geological data acquired by a field monitoring instrument and transmitting the monitored data to a data processing module; the data processing module used for identifying the data in the abnormal state in the monitoring data and eliminating the data in the abnormal state; a data management module used for storing the processed monitoring data and basic data; a prediction analysis module used for calculating the processed monitoring data according to a preset BP neural network algorithm to obtain a geological disaster prediction value; and an alarm command module used for determining a corresponding disaster grade according to the disaster predicted value after the disaster predicted value exceeds a preset geological disaster safety threshold value, determining the corresponding evacuation information according to the disaster grade, and sending the disaster grade and the evacuation information to a mobile terminal for displaying. The problem is solved that the geological disaster early warning is not inadequately accurate in the prior art.

The invention provides a wind turbine generator wireless monitoring and early warning system. The wind turbine generator wireless monitoring and early warning system comprises a wireless monitoring device, a wind turbine generator monitoring terminal and a user terminal; the wireless monitoring device is used for collecting wind turbine generator status data and sending the collected wind turbinegenerator status data to the wind turbine generator monitoring terminal; the wind turbine generator monitoring terminal performs data analysis and processing on the wind turbine generator status data,timely judges a health status of the wind turbine generator, and gives an alarm when the wind turbine generator status data does not meet set threshold requirements; the user terminal obtains the wind turbine generator status data and the health status of the wind turbine generator by accessing the wind turbine generator monitoring terminal, and gives an alarm when the wind turbine generator status data does not meet the set threshold requirements. The wind turbine generator wireless monitoring and early warning system realizes wireless monitoring and intelligent early warning of the status of the wind turbine.

The invention discloses an electric energy monitoring and early warning system based on 5G and a modified GCN graph neural network, and the system comprises an intelligent electric meter and a serverterminal. The intelligent electric meter collects the current value of a flowing line through a mutual inductor, and the intelligent electric meter is internally provided with a 5G module, and transmits the collected current information to the server terminal; the server side gathers the current data of the factory, the production workshop, the production line and the key equipment, and performs comprehensive analysis in combination with the factory production data. According to the invention, the mutual inductor is adopted to monitor the value of the current flowing through the electric wire,and the monitored data is sent to the cloud server by using the 5G network for the first time, so that the problem of factory wiring is avoided, the problem of mutual isolation of links such as factory power utilization measurement and monitoring is solved, and centralized monitoring and centralized management of factory power utilization monitoring are realized.

The invention relates to a power transmission system displacement online monitoring and early warning system. The system comprises a data collector used for monitoring state changes of a tower and a transformer substation, a data acquisition and detection unit connected with the data collector, a data processing and substation scheduling unit connected with the data acquisition and detection unit,a narrowband Internet of Things communication module, a background monitoring center in wireless connection with the processing and substation scheduling unit through the narrowband Internet of Things communication module, and a power supply unit connected with and supplying power to the data collector, the data acquisition and detection unit, the data processing and substation scheduling unit and the narrowband Internet of Things communication module. Acquisition, transmission and analysis of parameters such as inclination, settlement, environment wind speed and wind direction of the power transmission line tower and the transformer substation are realized, and finally real-time monitoring and hidden danger early warning of the displacement condition of the tower and the transformer substation are realized, so that power supply accidents caused by displacement of the tower and the transformer substation can be eliminated in the bud.

The invention provides a machining operation real-time monitoring and early warning method and system. The machining operation real-time monitoring and early warning system comprises a basic platform, a stamping structure, an image recognizer, an analysis controller and a safety protection device. The image recognizer senses the staying action and time of the hand of a user on the basic platform to obtain related signals, the signals are transmitted to the analysis controller, and the analysis controller judges whether the staying time of the hand exceeds the preset time or not according to comparison, and when the preset time is exceeded, the safety protection device is started for protection so as to prevent the equipment from hurting the user. According to the machining operation real-time monitoring and early warning system provided by the invention, the operation time of an operator is monitored to remind the operator to complete the operation within the standard safe operation time, safety management personnel in an enterprise need to frequently inspect and check the safety of the production process, and the whole factory is difficult to consider; and by using the safety protection device provided by the invention, the operation state of the operator can be monitored at any time, and problems can be found more effectively and timely.

The invention provides a trajectory tracking, monitoring and early warning system and method for a carrier loader, and relates to the technical field of target trajectory tracking and monitoring, which comprises the following steps of: acquiring a real-time video of the carrier loader through video acquisition equipment, and transmitting the real-time video to a preprocessing module for preprocessing to realize preliminary positioning of an area of the carrier loader, wherein the target detection module detects a preliminarily positioned area of a current frame of a real-time video, extracts HOG features of each frame of image through the feature extraction unit, uses a carrier loader SVM classifier to classify and determine a real-time position of a carrier loader, the target tracking module tracks the carrier loader through a KCF algorithm, and the comprehensive processing module judges whether the carrier loader runs abnormally or not; sending the abnormal information to a server; and the server receiving and storing the abnormal information sent by the comprehensive processing module, issuing an early warning instruction to the early warning module and generating emergency response measures, and the early warning module sending early warning information to workers, so that the manual patrol cost is reduced, and the risk of personal accidental injuries is reduced.

The invention discloses a real-time online monitoring system for the health state of a fixed winch hoist. The real-time online monitoring system comprises a stress-strain monitoring system, a flow-induced vibration monitoring system, a starting and stopping force monitoring system, a signal transmission system, a signal acquisition system, a monitoring system, an early warning system, a data system, a PC system and a central control room. The system is accurate and reliable in monitoring data, can guarantee that the operation of the metal structure equipment of the fixed winch hoist is in real-time on-line visual observation and monitoring, enables related workers to master the health state of the equipment at any time, facilitates the long-term safe operation of the equipment, formulatescorrect corresponding detection and maintenance schemes, and save a lot of manpower, material resources and financial resources, and provides a basis for redesign, manufacturing, inspection, installation and the like of the equipment through real-time online health state monitoring data.

The invention provides an intelligent power grid real-time early warning system, which is characterized by comprising a monitoring module, a calculation module, a display module and an emergency processing module, the calculation module carries out calculation processing on the collected load data to obtain a corresponding early warning level and sends a processing result to the display module, the display module displays the early warning level in a visual mode, and the emergency processing module adjusts the running load according to the early warning level; the system can intuitively reflect the operation condition of each region in the power grid, timely process the overloaded region, predict and prompt the region which is not overloaded but possibly overloaded, and facilitate prevention and processing.

The invention discloses a calibration method and calibration system of a lane yaw early warning system and a vehicle to improve the calibration efficiency of the lane yaw early warning system. The method comprises the steps that a road condition image in front of a road in the vehicle running process is obtained; a preview image of a yaw early warning camera in the lane yaw early warning system iscompared with the road condition image; and the yaw early warning camera is controlled to rotate so as to adjust the position of the preview image of the yaw early warning camera in the road condition image, so that the position conforms to a calibration specification