ROHM and A*STAR’S IME to develop Artificial Intelligence Chip for Predictive Maintenance in Smart Factories
June 22, 2017 | A*STAREstimated reading time: 2 minutes
ROHM Semiconductor, a leading semiconductor manufacturer, and A*STAR’s Institute of Microelectronics (IME), a world renowned research institute under the Agency for Science, Technology and Research (A*STAR) today announced the joint development of an artificial intelligence (AI) chip to boost efficiency in predictive maintenance for smart factories.
The concept of ‘Predictive Maintenance’ has become widespread in the manufacturing industry as manufacturers begin to digitalize their production lines for increased productivity and competitiveness. Predictive maintenance forecasts machine failures, and it involves monitoring the function and health of machines, and identifying potential problems based on data received through device logs and sensors, and eventually taking counter-measures such as repairing or replacing the affected machine.
In order for any machine abnormality to be detected throughout a production line, diverse amounts of data gathered from multiple sensors are first transmitted over a wireless network to a central computer server for processing and analysis. However, as the number of sensors increases in the future, the wireless communication technology for Wireless Sensor Networks (WSNs)1 would face bandwidth constraints, and be unable to expeditiously transmit the increasingly large sensor data to the computer server (Please refer to Figure 1 for illustration of wireless transmission of sensor data to computer server in Annex A).
Powered by the Internet of Things (IoT), AI is becoming a key enabler for predictive maintenance and performance improvement, because of its cognitive abilities such as learning, reasoning and problem-solving. ROHM and IME will develop an AI chip that is capable of processing and analyzing data as soon as they are received by a sensor node. This drastically reduces the amount of sensor data to be transmitted wirelessly to a central computer server for them to be further processed and analyzed.
Leveraging ROHM’s original AI analytical algorithms, and IME’s capabilities in ultra-low power analog/digital integrated circuit and systems, as well as analog computation circuits developed by both parties, the research collaboration will enable the developed chip to filter volumes of data across multiple sensors, and analyze complex data patterns in real-time. (Please refer to Figure 2 for overview of chip with artificial intelligence algorithms in Annex A).
This novel AI chip is expected to perform significantly faster than the conventional method for predictive maintenance,as well as reduce power consumption, paving the way for greater asset productivity and lower overall maintenance costs. ROHM has plans for the AI chip to be compatible with wireless technologies such as Wi-SUN, and EnOcean2, and incorporate the chip to its proprietary sensor nodes and wireless modules.
“I’m exceptionally delighted that we have our first opportunity for cooperative research with A*STAR’s IME. Through the fusion of ROHM’s sensor technology, analog low-power technology and AI architecture with IME’s capabilities in low-power integrated circuit technology, we want to provide the optimum solutions for edge nodes”, commented Mr Koji Taniuchi, Fundamental Research and Development Division, General Manager at ROHM.
“Over the years, IME has built up strong expertise and capabilities in integrated circuits and systems, as well as research design and process technologies. The factories of tomorrow will demand highly intelligent solutions for greater integration of their operations in a seamless network across the value chain. Our joint research with ROHM in developing an artificial intelligence chip is an important step towards achieving greater efficiency in data transmission and analysis necessary for predictive maintenance in the era of smart manufacturing”, said Dr Tan Yong Tsong, Executive Director of IME.
Suggested Items
Real Time with… IPC APEX EXPO 2024: Direct Imaging Equipment and Quad-wave DLP Light Engine Technology
05/03/2024 | Real Time with...IPC APEX EXPOGuest Editor Kelly Dack and MivaTek's Brendan Hogan delve into the company's innovative technologies, including direct imaging equipment and quad-wave DLP light engine technology. They highlight the benefits of direct imaging, compensation, and DART technology.
iNEMI Names Grace O'Malley CTO
05/02/2024 | iNEMIThe Board of Directors of the International Electronics Manufacturing Initiative (iNEMI) has named Grace O'Malley Chief Technical Officer (CTO).
Dubai Launches Global Blueprint for Artificial Intelligence
05/02/2024 | BUSINESS WIREDubai has launched a blueprint for Artificial Intelligence (AI), a yearly plan that will focus on harnessing the technology’s potential to improve quality of life around the world.
NextFlex Convenes the Hybrid Electronics Community at Binghamton University
05/01/2024 | NextFlexBinghamton University hosted the NextFlex hybrid electronics community on April 18 for a day of expert presentations, breakout sessions on technology and manufacturing topics, and networking.
IDTechEx Report on Quantum Technology: Nano-scale Physics for Massive Market Impact
04/30/2024 | PRNewswireThe quantum technology market leverages nano-scale physics to create revolutionary new devices for computing, sensing, and communications. Across the industry, quantum technology offers a paradigm shift in performance compared with incumbent solutions.