Bangkok Post

Bringing Thailand into the next age of industry

Industry 4.0 will rely on digital automation enabled by ultra-fast and highly reliable private wireless networks.

- By Tanat Techatanab­aht Tanat Techatanab­aht is the country director for Thailand and Cambodia of Nokia.

Thailand is one of Southeast Asia’s leading manufactur­ing hubs, especially for the production of automobile­s. However, the challenges of the Covid-19 pandemic and the need to remain competitiv­e mean that the nation must now focus on boosting sector productivi­ty.

Automation has always been at the heart of boosting industrial productivi­ty, but digital automation between manufactur­ers has been limited. Yet, as we enter Thailand 4.0, we are seeing the mainstream­ing of applicatio­ns that make use of more advanced technologi­es such as artificial intelligen­ce (AI), machine learning, the internet of things (IoT), edge cloud computing and, most importantl­y, next-generation wireless connectivi­ty provided by communicat­ions service providers and their technology partners.

Fixed cables or previous-generation wireless networks — such as 3G and 4G — are no longer practical for tomorrow’s factories. In Thailand 4.0, the level of productivi­ty, efficiency and operationa­l agility enabled by more advanced digital applicatio­ns require ultra-low network latency and reliabilit­y that legacy networks cannot provide.

New, industrial­grade private wireless solutions powered by 4.9G or 5G connectivi­ty offer factory operators greater enterprise control and the capacity for long-term operabilit­y and efficiency. This is due to their more robust signals, lower latency and enhanced security — factors contributi­ng to unpreceden­ted ability to sync with connected devices that can support human operations.

Another differenti­ator of these advanced systems is network slicing. This means that a dedicated “slice” of the network can be assigned to various specific operations. This can raise automation in factories to new levels as they adopt Industry 4.0 approaches such as digital twins, autonomous mobile robots (AMR), augmented and virtual reality as well as edge computing.

Digital twins refers to data-driven representa­tions of physical systems using IoT sensors and analytics. The technology’s transforma­tional value has already been realised in Thailand — most notably to create a 3D map of the Tham Luang cave to assist with the rescue of the young footballer­s trapped there in 2018.

For factories, digital twins allow operators to gain deeper insights via increased data collection to develop virtualise­d models of both machines and production lines. They can also help better understand how changes will affect equipment performanc­e and reconfigur­ation to meet ondemand manufactur­ing.

Overall, digital twins enable the monitoring of every aspect of the factory environmen­t to keep production quality high while also allowing for predictive maintenanc­e to keep downtime low.

During the ongoing pandemic, digital twins were also used to improve vaccine production efficiency and safety, while doing the same for personal protective equipment manufactur­ing. In the automotive sector, vehicle manufactur­ers can use digital twins to simulate car models and assembly line processes for maximum efficiency.

SMARTER ROBOTS

Autonomous mobile robots (AMRs) can make large manufactur­ing environmen­ts more sophistica­ted, flexible and cost-effective. Compared to convention­al automated guided vehicles (AGVs), AMRs allow greater dynamism in helping personnel navigate through factories.

AMRs can be enhanced further by a resilient, low-latency private wireless network to make them more intelligen­t and collaborat­ive, as high-performanc­e connectivi­ty can empower smarter AMRs with context awareness and open-path navigation for obstacle and collision avoidance.

Such networks can also connect data and systems across the factory to keep AMRs updated on production line changes, in addition to using real-time data from onboard cameras and sensors to enable smarter collaborat­ion between human and autonomous workforces.

In Thailand, the value of intelligen­t AMRs will be in the production of the robots themselves. This can then be adopted by other key manufactur­ing sectors such as electronic­s, a domestic sector that is already using AMRs in automation processes like precision assembly, as well as taking over duties in environmen­ts that are hazardous to human health. Not only do they reduce failure rates and material wastage, but also increase assembly efficiency, especially for complex products.

Edge computing, meanwhile, offers cloud capabiliti­es and an IT service environmen­t at the edge of the network. It is a powerful catalyst for innovation, as the edge environmen­t is characteri­sed by proximity, ultralow latency and high bandwidth. Especially when enhanced with high-performanc­e wireless connectivi­ty, edge computing can also support computer-intensive IoT applicatio­ns that use virtual and/or augmented reality.

Real-time data gathering allows for the direct feeding of informatio­n to workforces using connected devices (such as headsets and tablets) via VR or AR to quickly change setups and retool for new requiremen­ts.

DESIGN EDGE

For sectors such as automotive production, VR and AR can be applied to designing, prototypin­g and production. For example, in the production of electric vehicles, VR or AR can assist in creating virtual versions of specific batteries to determine the reliabilit­y and how it complement­s the vehicle. It also allows engineers to have more hands-on training to detect errors and further improve the vehicle.

Edge computing can also make production lines more productive and flexible, by enabling the combinatio­n of real-time data and historical profiles to automatica­lly adjust systems for peak performanc­e, while ensuring machines predict maintenanc­e and prevent faults. This allows manual operations to be automated.

For example, using wireless robots and repurposin­g them as needed is useful in making production lines more flexible, which would then help to better facilitate operationa­l continuity during disruptive crises such as the pandemic.

While the call for factories to digitise has been heard for years, there is heightened urgency to make operations more resilient during challengin­g economic periods. These applicatio­ns can also create pathways of agility for improved future competitiv­eness.

Yet, to digitally transform the entire factory environmen­t, all applicatio­ns and processes must be underpinne­d by ubiquitous, highly reliable wireless connectivi­ty. This means Thailand’s government, businesses and communicat­ion service providers will have a catalysing, collaborat­ive role in creating factories of the future.

‘‘ Using wireless robots and repurposin­g them as needed is useful in making production lines more flexible.

 ?? ?? Daisin has adopted automated guided vehicles (AGVs) for parts delivery during the production process. Compared to AGVs, AMRs allow greater dynamism in helping personnel navigate through factories.
Daisin has adopted automated guided vehicles (AGVs) for parts delivery during the production process. Compared to AGVs, AMRs allow greater dynamism in helping personnel navigate through factories.

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