Automatic control system based on IoT data identification
Autor: | Hoe-Kyung Jung, Jaehyun Park, Han-Kil Kim |
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Rok vydání: | 2020 |
Předmět: |
Automatic control
Service (systems architecture) IoT Control and Optimization Computer Networks and Communications business.industry Computer science Real-time computing Construct (python library) Task (computing) Smart grid Hardware and Architecture Home automation Task management Control system Signal Processing Smart environment Priority Electrical and Electronic Engineering Internet of Things business Information Systems Sensor |
Popis: | Recently, as the Internet of Things (IoT) technology has developed, researches are rigorously conducted to construct smart environments such as smart home, smart grid, and industrial IoT. However, currently existing systems consists of a series of events, and even if an existing task is running, unnecessary work still occurs as both works happen simultaneously. In this paper, we propose an automatic work control system to solve this problem. The proposed system transmits the data measured by the sensor to the server and identifies non - real - time tasks such as real - time work which is related to the dangerous situations, ventilation and temperature control. In addition, priority among the tasks is set in a way that existing tasks are stopped when high priority tasks occur. Accordingly, this can reduce the unnecessary waste of power, and the user is able to receive a proactive service. |
Databáze: | OpenAIRE |
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