Big Data assisted Strategy for Resuming of Work and Production during COVID-19

Jie Gao, Zhendong Han, Xinzhou Cheng, T. Zhang, Lexi Xu, Yang Wu, Chen Cheng, Yunyun Wang, Xin He
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引用次数: 1

Abstract

In April 2020, with the development of the nationwide epidemic prevention and control work, the epidemic situation of New Coronavirus has entered a stable stage. However, the resumption of production and recovery is crucial to maintain the stable development of economy and society. Imminent. Therefore, how to co-ordinate the epidemic prevention and control and return to work has become another major challenge for governments at all levels. The joint prevention and control mechanism of the State Council issued a document requiring all localities to “conduct accurate prevention and control in different regions and levels, and coordinate the prevention and control of epidemic situation and the restoration of economic and social order”. In this context, China Unicom gives full play to the unique advantages of multi-source, massive and integrated big data of operators, and helps enterprises to resume work and production from four aspects: real-time insight of regional return to work rate, grid risk index assessment, risk analysis of regional population inflow, and risk analysis of employees' travel mode, so as to provide support for enterprise decision makers and formulate scientific policies and means, gradually realize the full return to work.
大数据助力下新冠疫情复工复产策略
2020年4月,随着全国疫情防控工作的开展,新型冠状病毒疫情进入稳定阶段。然而,恢复生产和恢复对保持经济社会稳定发展至关重要。迫在眉睫。因此,如何统筹做好疫情防控与复工复产工作,成为摆在各级政府面前的又一重大挑战。国务院联防联控机制发布文件,要求各地“分区域、分层次精准防控,统筹做好疫情防控和经济社会秩序恢复工作”。在此背景下,中国联通充分发挥运营商多源、海量、一体化大数据的独特优势,从四个方面帮助企业恢复工作和生产:实时洞察区域复工率,网格化风险指标评估,区域人口流入风险分析,员工出行方式风险分析,为企业决策者提供支持,制定科学的政策和手段,逐步实现全员复工。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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