Study on data utilization of regional industry in cross-cutting and systematic regional community networks

Abstract

It is possible to collect enormous big data by IoT. Everything is converted into data. In all existing industries, there is the possibility of dramatically improving productivity by devising and utilizing those data. In addition to improving productivity, the creation of new industries is expected in the coming era of AI. Based on such time axis of the real world, what kind of activities should be implemented in the region? Sensor sharing is required for regional IoT network configuration and it is necessary to utilize the collected big data by industry or purpose of regional activity. The problems that are thought are how to make common consciousness of sharing sensor group, how to develop sensor platform, how to distinguish between opened data and concealed data, how to protect security, how to check the ownership of data, and so on. We try to consider the possibility of social experiment concerning data utilization of regional industry.