Waterlogging modeling and analysis method based on FCM

An analysis method and model technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as unclear causality and dissatisfaction, and achieve the effect of great reference value and enhanced analysis ability

Active Publication Date: 2018-01-09
中电科新型智慧城市研究院有限公司
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Problems solved by technology

There is an unclear causal relationship between these many influencing factors, and there is a large amount of historical data for query. For this kind of system, when t

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  • Waterlogging modeling and analysis method based on FCM
  • Waterlogging modeling and analysis method based on FCM
  • Waterlogging modeling and analysis method based on FCM

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Embodiment Construction

[0032] In order to overcome the above-mentioned deficiencies, the purpose of the present invention is to propose a method based on fuzzy cognitive map (i.e. FCM, which is a kind of thing and its relationship involving many interactions) for the occurrence of waterlogging and the complex nonlinear system formed by many factors in the surrounding environment. The waterlogging modeling and analysis method based on the causal knowledge qualitative reasoning technology) realizes the analysis of the occurrence trend of waterlogging through the independent learning ability based on DNA genetic algorithm and the fuzzy information expression and reasoning ability of fuzzy cognitive map.

[0033] In order to achieve the above object, the technical scheme adopted in the present invention is:

[0034] A waterlogging modeling analysis method based on FCM, comprising the following steps:

[0035] S1: Construct the waterlogging FCM model by solving the adjacency matrix of the waterlogging FC...

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Abstract

The invention discloses an FCM-based waterlogging modeling and analysis method, which constructs an FCM model of waterlogging through modeling, and analyzes the occurrence of waterlogging based on the urban rainfall variation trend and waterlogging depth of waterlogging-prone points obtained therefrom. The method proposed by the present invention combines the strong fuzzy information expression and reasoning ability of the fuzzy cognitive map, and the gene-level operation of the DNA-encoded genetic algorithm technology to construct the waterlogging FCM model; the constructed waterlogging FCM model carries out the historical waterlogging data Integrate analysis and utilization, so that the ability of analysis is enhanced. Theoretically, the construction of this model is not restricted by the geographical location of waterlogging occurrence, and only needs to combine the parameter changes of a single waterlogging point under actual conditions to obtain the dynamic change trend of each parameter; therefore, it has great reference value.

Description

technical field [0001] The invention relates to the technical field of weather prediction, in particular to an FCM-based waterlogging modeling analysis method. Background technique [0002] Flood disasters are the most threatening meteorological disasters among urban meteorological disasters. However, in recent years, many cities in my country have been frequently hit by heavy rains, which have caused serious waterlogging. In Shenzhen City alone, there are more than 260 waterlogging points, with an area of ​​more than 180 square kilometers. . Waterlogging brings huge harm: 1. Causes traffic paralysis, property loss, water and electricity communication failure; 2. Causes subway backflow, social order chaos, line leakage and sewer cover is lifted by the drainage pipe to form a coverless vortex, etc.; 3. Long-term waterlogging led to the collapse of the wall and the rampant disease and epidemics after the waterlogging. [0003] Because severe urban waterlogging will lead to th...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 王熙李耀东徐辉林海全白向玉付玉兰董鑫黄泽舟
Owner 中电科新型智慧城市研究院有限公司
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