经验,数据驱动和人工智能在社会(消防)和化学技术

T. Akitsu, Yuika Onami
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引用次数: 1

摘要

“在火灾和防灾活动中实现社会5.0”是日本政府发展消防技术的密集目标之一[1]。应根据社会需求,开发利用人工智能和信息通信技术改进灾害应对新设备和新材料。通过人工智能分析从过去灾害中收集的数据来预测地震、暴雨、洪水等的努力必须继续下去。在进行这种灾害预测的同时,必须着手准备在紧急情况下迅速和准确地提供灾害资料,并支助灾后重建生活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experience, Data-Driven and Artificial Intelligence in Social (Fire) and Chemical Technology
“Realization of society 5.0 in fire and disaster prevention activities” is one of intensive goals of Japanese government developing fire technology [1]. Improvement of new equipment and materials for disaster response utilizing AI and ICT should be developed according to social requirements. Efforts to predict earthquake, pour, flood, etc. through AI analysis of data collected from past disasters must continue. In parallel with such elaboration of disaster prediction, it is necessary to proceed with preparations for prompt and accurate provision of disaster information during emergency situations and support for rebuilding lives post disaster.
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