Thammasat School of Engineering (TSE), has joined forces with the Department of Industry Promotion (DIP), for promoting low-cost Internet of Things technology (IoT).

This is the technology under the SMEs performance improvement project, which will transform manufacturing sectors in SME businesses allow them to “Pay less and Gain more” by using IoT technologies like labor and machine smart monitoring system, stressing that engineers can do so much more for the society.

Asst.Prof.Dr.Supakit Prueksaaroon, a teacher at the Department of Electrical and Computer Engineering, TSE, reveals that Thammasat School of Engineering (TSE), and the Department of Industry Promotion (DIP) through the Division of Digital Industry Development (DDI), are launching the “SMEs performance improvement” project, a counseling activity that helps the entrepreneurs choosing the suitable engineering technology for their businesses.

The technology will be used as a tool to create a better manufacturing system creating stable businesses that will be the driving forces for the country’s economics. This application of knowledge proved that TSE is not only training future engineers, it also focuses on presenting and adapting engineering knowledge and skills to every aspect in the country.

TSE has been working on sharing the IoT technology application in the industrial sectors by conducting field research in factories and providing counseling about how to improve the manufacturing system in the factories with technologies like labor and machine smart monitoring system. For example, in egg farms, the entrepreneurs can now use the technology to count produces and track the hens’ health, allow 6-7 workers to work on the other tasks. Another example is the melamine goods factory, where the technology can help bringing solving the skills and time management problem.

IoT is a very low-cost technology. Entrepreneurs can easily cooperate it by installing IoT board and tracking sensors that can track something like egg and concrete sheet. The system can analyze the data and use the insights to improve the system. There is also a smartphone notification that sends push notifications for the equipment’s status, beginning time, number of products produced per shift. Besides, there is a Line Notify that will send the results directly to a smartphone making it easy to control the setting in the factory as well as solving any problems.

“Even though the industry sector is one of the main driving forces of the country performances and economics, the manufacturing sector of the SMEs still faces many restrictions like the loss of income opportunity due to the lack of skills of some labors and inaccurate statistics from human errors in tracking the produce. Therefore, IoT, the technology that connecting every system to the internet, monitoring everything, will help increase the quality of the manufacturing process and the product as well as lower the cost and increase income. For the workers, the system also acts as a training program for them, creating a more efficient workflow in the long run.” Asst.Prof.Dr.Supakit Prueksaaroon commented.

Assoc. Prof. Dr. Thira Jearsiripongkul, Dean of Thammasat School of Engineering (TSE) added that TSE has implemented the Problem-based Learning (PBL) and always support the researchers, expert specializing in different areas of engineering, and the students to be a part in developing the country’s industrial sector, including SMEs business. PBL prompt the student to create a positive process, and first-hand experience on and opportunities in the industrial field. Also, TSE has been sharing the knowledge and supporting the nation’s industry by working with the public organization like the Department of Industry Promotion (DIP) to ensure that the Thai industry sector will sustainably transfer to the era of “Industry of the Future.”

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BIG DATA is the fabric of today’s digital society. Understanding, analyzing, and leveraging it can help businesses, as well as regulators, transform operations and deliver better experiences to internal and external stakeholders.

In the government and public sector, big data can help solve traffic congestion issues, health and safety issues, and even civic issues, at scale. However, in the Asia Pacific (APAC) region, not many countries have the big data skills needed to facilitate the creation of such use cases and applications.

Thailand understands this. Hence, its Digital Economy Promotion Agency (DEPA) has decided to leverage its newly created Government Big Data Institute (GBDI) to train 1,000 government officers on big data skills in 2020.

The first batch of 200 officers has already been trained by GBDI, signaling the institute’s preparedness to deliver on DEPA’s expectations.

At present, the Thai government’s big data institute has 25 data scientist but plans are in place to grow headcount to 40 in the coming year. Hiring new staff in this space is definitely challenging, which is why GBDI will explore talent pools among government scholarship students, the private sector, and university researchers.

According to local media, DEPA is working with about 40 government agencies in the country to not only help them develop infrastructure but also understand big data and enhance how data is managed.

Of the 1,000 officers to be trained next year, 500 will be at the beginner level, 300 at the intermediate level, and 200 at the advanced level.

Those trained at the intermediate and advanced levels are expected to help train others in their agencies, expanding the knowledge base in each body.

When ready, Thailand can join the ranks of countries such as Malaysia and Australia with capabilities that will enable its transition to a smarter, more digital nation and prepare it to launch the smart cities it has been working on so tirelessly on since 2016.

Truth be told, big data is something that every nation needs to focus on, including those leading the pack such as Singapore and the United States.

It is a skill that helps make sense of the fundamental building block of our digital world, and hence, with the new technologies such as the internet of things (IoT) and artificial intelligence (AI) becoming more common, big data skills are key to innovative, intelligent, supportive solutions.

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