Industry Overview

In the field of emergency management, focusing on big data full-stack technology and products, PERCENT Technology builds an emergency management data fusion governance system and a data resource pool to support business systems and data analysis applications. At the same time, by using technologies such as knowledge graph and data modeling, it realizes the construction and utilization of knowledge in the emergency field. Driven by the two core engines of the "data middle platform" and "knowledge middle platform", it provides digitalization and intelligence support for monitoring and early warning, command and rescue, decision support, and other business fields. At present, it has served the emergency management departments at ministerial, provincial, municipal, and district/county levels.




Solution

img active-img Emergency big data governance
img active-img Digital emergency plan
img active-img Intelligent emergency knowledge base
img active-img Comprehensive city risk monitoring and early warning
img active-img Intelligent emergency command system
img active-img Emergency big data governance
img active-img Digital emergency plan
img active-img Intelligent emergency knowledge base
img active-img Comprehensive city risk monitoring and early warning
img active-img Intelligent emergency command system

Emergency big data governance

PERCENT Technology establishes a data governance system for emergency management departments at all levels and compiles emergency industry data standards; gathers and integrates business data from multiple sources such as production safety, natural disasters, and urban and rural security to build the resource database, subject database, and collection database for the emergency industry. It realizes the full-lifecycle management of internal and external data access, processing, control, and service of emergency management departments, and provides unified data catalog service for internal business systems and external sharing and exchange, thus laying a data foundation for smart emergency applications.

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