Proceedings of ICLT 2022
Development of AI Decision Making System for Industry 4.0
Natdanai Homkong; Charan Khumngeon; Sarawut Kanitpanyacharoen; Ukot Charanyananda; Choncharoen Sawangrat
Department of Industrial Engineering Mae Moh Power Plant Electricity Generating Authority of; Faculty of Engineering, Chiang Mai Electricity Generating Authority of Thailand (EGAT); University Thailand (EGAT) Mae Moh Power Plant; Big Data Agency Co., Ltd. Department of Industrial Engineering; Chiang Mai, Thailand Faculty of Engineering, Chiang Mai
International Conference on Logistics & Transport 2022, Krabi, Thailand, pp. 95-99
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Abstract
Currently, there is an energy crisis where the prices of global fuels are rising, especially natural gas. Natural gas is the main fuel used in electricity production in Thailand. Mainly, the cost of electricity is directly proportional with natural gas price. Preliminary studies have shown that coal power production will help stabilize energy prices. According to the readiness of the power plant, it found that the number of shift workers was insufficient to operate the coal-fired power plant. There were many retirees and the problem of damaged equipment. the method of digitalization has been applied to connect for human-to-human, human-to-machine and machineto-human interaction associated with the data ingestion based on the Cyber-Physical System (CPS) concept for real/near-time machine learning (ML)/artificial intelligence (AI) in workflow management. The development steps of the platform conceptual can be separated consisting of 3 main parts (1) Large data sets of unstructured and semi-structured data flow to data lake (2) Workflow for input determination to training ML/AI and mix rule-based together (3) Action showing the result which can be connected to web and mobile application. Operators can access all information and monitor and track jobs through the platform. Furthermore, the challenging problems can be designed and investigated by domain experts in a comprehensive production process with automatic alerts. New generation can work, confirm and troubleshoot according to standards-based processes designed from the information source gathered from domain expert and can be automatically checked using dashboard at any time. malfunction in the water control valve is caused by different water-flow while pumping, blocking the water from being sent to produce steam. For repairs, 2 technicians, 1 of a control technician and 1 an engineer are required. In nonsevere cases, maintenance takes at least 24 hours, averaging approximately 96 man-hrs. In case of permanent dam
Keywords
Decision system; Digitalization; Digital solution; Data center; Knowledge management; Machine learning
Citation
Natdanai Homkong; Charan Khumngeon; Sarawut Kanitpanyacharoen; Ukot Charanyananda; Choncharoen Sawangrat (2022). Development of AI Decision Making System for Industry 4.0. Proceedings of the International Conference on Logistics & Transport (ICLT 2022), Krabi, Thailand, pp. 95-99.