Fire fighting task assignment auxiliary method and system based on data mining

Abstract

The invention discloses a fire fighting task assignment auxiliary method and system based on data mining. The method comprises the following steps: acquiring the grid of the fire incident point to beprocessed in the research area based on the longitude and latitude information of the fire incident point to be processed, wherein the determined subareas of each grid can be obtained after grid division of the research area; if the pixel code of the grid where the fire incident point is located is not to be determined, the fire station corresponding to the pixel code is taken as the recommended fighting unit; and if the pixel code of the grid where the fire incident point is located is to be determined, the recommended scheme of the fire station is determined according to the grid statisticaldata, wherein the grid statistical data is the corresponding list of fire stations performing all the historical fire fighting tasks obtained on the basis of the grid method and the historical fire and alarm data. The commander can be assisted to efficiently and conveniently determine the fire station for performing the fire fighting task so as to shorten the reaction time.

Description

technical field [0001] The invention belongs to the field of data mining, and more specifically relates to a data mining-based fire fighting task assignment assistant method and system. Background technique [0002] Data mining refers to the process of using corresponding algorithms to obtain potential information, knowledge, and rules from data, and to obtain hidden knowledge rules from them. With the help of empirical knowledge acquired through mining, the scheduling decision-making process can be more rapid and accurate. The raster method is mainly aimed at data sets with a huge amount of data. Data is segmented through geographic raster division, which simplifies the analysis process and improves efficiency. The main idea of ​​the collaborative filtering recommendation algorithm is to find out the nearest neighbors to the target user, and predict the target user's preference for each item according to the scores of the nearest neighbors. [0003] With the increase in t...

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Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides a fire fighting task assignment assistant method and system based on data mining, thereby solving the problem that the existing fire fighting task assignment assistant system mostly uses distance as the recommendation basis, and in fire fighting The technical problem of losing reference meaning in the case of dense station

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