Development of IoT-enabled real time machine status monitoring approach for cloud manufacturing

Mohamed Isa, Muhammad Fizwan Hakimi (2023) Development of IoT-enabled real time machine status monitoring approach for cloud manufacturing. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Monitoring machine condition is critical. Machinery in this modern business must become more adaptable and autonomous. Machine must operate without failure in order to boost production, improve quality, and minimize costs. When a machine fails, it is critical to determine the causes as soon as feasible. Despite these rapid advances, developments in machine maintenance strategy and procedures have lagged behind the overall pattern of progress. This is cause for severe concern, as current maintenance procedures may be unable to meet growing demands. Machinery in the modern automated production process must become more versatile and flexible. A designed smart lathe machine approach to the classic lathe machine has been developed to overcome this issue. It employs sensors that are controlled by the microcontroller NodeMCU ESP8266 which that being processed then transfer to the cloud platform. As a result, transitioning from manual to smart lathe machines can dramatically enhance efficiency while simultaneously reducing investment costs, providing a much-needed boost to the manufacturing industry. Internet of Things (IoT) has attracted a lot of attention these recent years from both research and industrials. This project is a study of an Internet of Things (IoT) enabled real-time machine status monitoring platform. IoT technologies such as wireless communications are used for capturing real-time machines statuses. From that, data models that being processed is then appeared on the graphical dashboard over smart phones. To illustrate, a practically systems is proposed. Firstly, in this project, smart devices are deployed to capture machine data. Afterwards, by using designed cloud platforms services for making full use of the captured data to aid enduser. The way of the data is being processed is by captured data sensors that sent through the cloud which the interfaces displayed the processed data that is being done from the physical pins to virtual pins are connected simultaneously between both transitions.

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