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Map Centric Emergency And Field Services Management System Incorporating User Configurable Predictive Geospatial Artificial Intelligence

机译:结合用户可配置预测地理空间人工智能的以地图为中心的应急和野外服务管理系统

摘要

A method for predicting a spatial location of a real-world phenomenon at a future time comprises: (a) receiving dependent variable data for one or more dependent variables associated with the phenomenon from an observation source, the dependent variable data being time stamped and including a geographical reference; (b) responsive to receiving the dependent variable data, collating the dependent variable data with independent variable data for one or more independent variables associated with the geographical reference and storing the collated data in a data store; (c) receiving a prediction request for predicting the spatial location of the real-world phenomenon at the future time; (d) retrieving collated data that satisfy a predefined relevance criterion; and (e) implementing an algorithm that utilises or is derived from the retrieved collated data and predicting the spatial location of the real-world phenomenon based on the output of the algorithm.
机译:一种预测未来世界现实现象的空间位置的方法,包括:(a)从观察源接收与该现象相关的一个或多个因变量的因变量数据,该因变量数据带有时间戳,并且包括地理参考; (b)响应于接收到因变量数据,将因变量数据与用于与地理参考相关联的一个或多个自变量的自变量数据进行核对,并将经核对的数据存储在数据存储器中; (c)接收到一个预测请求,以预测未来时间现实世​​界现象的空间位置; (d)检索满足预定相关标准的整理数据; (e)实现一种算法,该算法利用或从检索到的整理数据中得出,并根据算法的输出预测现实世界现象的空间位置。

著录项

  • 公开/公告号US2018053274A1

    专利类型

  • 公开/公告日2018-02-22

    原文格式PDF

  • 申请/专利权人 BURNOLOGY PTY LTD;

    申请/专利号US201715656789

  • 发明设计人 DYLAN KENDALL;MARTIN HEDENSTROEM;

    申请日2017-07-21

  • 分类号G06Q50/26;G06N7;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-21 13:02:19

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