2020 will be a year of manufacturing expectations. Deloitte predicts that 15 of the 15 most competitive manufacturing countries and regions will have 10 in Asia, including China, Japan, India, Korea, Taiwan, Singapore, Vietnam, and Malaysia. Thailand and Indonesia. However, to achieve this goal, Asia Pacific manufacturing will need to embrace the Internet of Things (IoT).
Internet of Things Asian manufacturing is rapidly shifting from traditional manufacturing to advanced or intelligent manufacturing to address manpower shortages and faults caused by technological development. The use of the Internet of Things (IoT) - traditionally isolated machines via networked sensors, systems Linked to the product. The Internet of Things enables manufacturers to improve operational efficiency and gain competitive advantage.
Take an apparel manufacturer as an example. It can use sensors, data and analysis techniques to monitor the effectiveness of its production equipment and operating environment, and take preventive measures to avoid any failure. This predictable maintenance capability allows manufacturers to reduce Because it does not anticipate cost and time lost due to downtime and production interruptions. In an interconnected factory building, the Internet of Things provides real-time monitoring capabilities across the entire product line. Manufacturers can quickly detect production delays and adjust to meet order requirements.
Since the value of the Internet of Things lies in the data, data management strategies are the key to the success of the Internet of Things project. It should cover the following five areas: Collection - includes capturing sensor data and providing data transmission capabilities. Transmission - ensuring the safe and reliable transmission of IoT data Go to the data center. Save - Store sensory data for analysis. Analyze - Analyze sensor data. Archiving - Cost-effective long-term data reconstruction for sensor data.
Manufacturers also need to ensure that their data management strategies cover the core data stored in the data center, as well as the edge data generated by data devices and machine sensors. The former means that all collected data is sent to the data center for centralized storage before it is processed. Analysis. This is very helpful for the back analysis of the data.
The latter is also called edge computing, which means that the device filters, analyzes, and makes initial decisions about the data it generates. Take the robotics of the production line as an example. It can collect performance data and filter it not important. The information, and only when there is an abnormality, send an alert to the operator, such as overheating or part failure. In order to support edge computing and real-time analysis, manufacturers will need to deploy industrial PCs with built-in flash SSDs. Machines usually work in a large magnetic field environment, which can cause damage to mechanical hard disk drives. Therefore, manufacturers should consider using flash memory when adopting the Internet of Things.
Furthermore, a good data management strategy should ensure that manufacturers can use the same data management tools and procedures regardless of where the data resides. More and more manufacturers will adopt a hybrid cloud in order to be flexible and they will need to be consistent. The data format, so that it can easily combine data from different environments for analysis.
The road to advanced manufacturing seems to be daunting because there are many challenges that must be overcome, especially from the point of view of data management. One way to reduce this complexity is to ensure that the adopted solution can unify the networking of data and put these Data is provided to workloads or application systems regardless of architecture or platform. Eliminating data silos and ensuring that data can be accessed anywhere can help increase manufacturing efficiency and accelerate innovation.
Future Asia-Pacific manufacturing will be based on intelligent and interconnected technologies. IDC predicts that by the year 2021, Asia-Pacific manufacturers will invest in the IoT as a whole will account for one-third of the total investment. However, Asian manufacturers want Keep in mind that don't jump on IoT trains just to catch up with the epidemic. First and foremost, they will need a data management strategy that will ensure future flexibility so that the data generated by the interconnected devices can be used effectively. In this way, they can use the Internet of Things to monitor business turmoil and make the right decisions to move forward and beyond competitors.