Small watershed disaster auxiliary research and judge method based on big data analysis of disaster prevention experience

An auxiliary research and judgment, small watershed technology, applied in the direction of data processing applications, instruments, climate change adaptation, etc., to achieve the effect of avoiding the shortcomings of the past

Inactive Publication Date: 2018-01-19
SICHUANG TECH CO LTD
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Problems solved by technology

However, the experience or lessons of historical disasters are also of great significance to the current flood disaster prevention and control. It has not yet been analyzed through the big data of disaster prevention experience to find out the historical disaster event information that is similar to the current flood disaster and present it to decision makers. Provide reference for its command and dispatch

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  • Small watershed disaster auxiliary research and judge method based on big data analysis of disaster prevention experience

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Embodiment Construction

[0014] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0015] see figure 1 , the present invention provides a small watershed hazard auxiliary research and judgment method based on big data analysis of disaster prevention experience, which includes the following steps:

[0016] Step S1: Collect disaster prevention experience data. Collect all relevant data of historical flood disasters in small watersheds, generally speaking, including flood situation, dangerous situation, disaster situation, and prevention and control measures. The data types cover three types: structured, unstructured, and semi-structured, such as meteorology, hydrology, and water conservancy The rainwater data accumulated by other departments before the typhoon landed or the flood peak 1h, 3h, 6h, ..., 72h and related meteorological cloud map, radar map data, the rainwater data of rivers, lakes and reservoirs during the impact ...

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Abstract

The invention provides a small watershed disaster auxiliary research and judge method based on big data analysis of disaster prevention experience. For the small watershed, through the analysis of bigdata of disaster prevention experience, the historical disastrous events that are similar to the current flood disasters are found out, and all the information related to the historical disastrous events are presented to decision-makers so as to let the leaders know the risks of the current disasters and prevention and control measures and effects of similar events, so that reference for their command and control is provided. On the one hand, the best practices of the past can be utilized, and on the other hand, the shortcomings of the past can be avoided.

Description

technical field [0001] The invention belongs to the field of flood control and water conservancy, and in particular relates to an auxiliary research and judgment method for small watershed dangers based on big data analysis of disaster prevention experience. Background technique [0002] At present, there are various methods to predict and evaluate flood disasters, and provide support for the staff in emergency rescue and disaster relief. However, the experience or lessons of historical disasters are also of great significance to the current flood disaster prevention and control. It has not yet been analyzed through the big data of disaster prevention experience to find out the historical disaster event information that is similar to the current flood disaster and present it to decision makers. Provide reference for its command and dispatch. Contents of the invention [0003] The purpose of the present invention is to provide an auxiliary research and judgment method for ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/26
CPCY02A10/40
Inventor 单森华池詹赟张迎春张火炬
Owner SICHUANG TECH CO LTD
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