Intelligent natural disaster early warning system and method based on big data

• Main Authors: LI ZHIFENG, WANG YUANXIN, TIAN GUANGCAI, GE JIANGKUN, HUSSANT, WANG NING, ZHANG YAN, WANG YUQIANG, LI KUN, QIAO YUE
• Format: Patent
• Language: Chinese; English
• Published: 05.09.2023
• Subjects: ALARM SYSTEMS; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ORDER TELEGRAPHS; PHYSICS; SIGNALLING; SIGNALLING OR CALLING SYSTEMS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention is suitable for the field of natural disaster early warning, and provides an intelligent natural disaster early warning system and method based on big data, and the system comprises a data processing module which is used for collecting data in a current natural environment, and extracting disaster features in the data; the model and algorithm module is used for constructing a prediction model through a machine learning algorithm and calculating features and trends of future natural data; and the strategy customization module is used for analyzing feasible schemes under various conditions in combination with the characteristics and trend results of future natural data, and then pushing different levels of measure schemes to be taken to the public, the accident emergency mechanism and the decision department. The method has the beneficial effects that the anxiety of the public can be relieved by moderately issuing the natural disaster information, the prevention consciousness is improved, the diff