Workforce transformation technology handles complex operating conditions through massive sensor data, which helps efficient factory operations and maintenance.

Tokyo, December 7, 2021/PRNewswire/ - Toshiba Corporation (Tokyo stock code: 6502) has developed a new anomaly detection artificial intelligence that enables large industrial factories to overcome a wide range and growing challenge: using a small amount The labor force continuously and effectively monitors thousands of sensors, and accurately detects abnormal signals hidden in small changes in sensor values. AI can currently be applied to power plants and industrial plants that use pumps to transport fluids, and it is the first of its kind*1 to achieve a high level of accuracy when detecting abnormalities in the complex interaction between plant operating conditions and a large number of sensor values . Toshiba will demonstrate this technology at the 21st IEEE International Conference ICDM2021 LITSA Data Mining Symposium on December 7.

The core of AI is Toshiba's "two-stage autoencoder", which is a proprietary deep learning model that provides highly accurate sensor value prediction under normal operating conditions; it recognizes the deviation between actual and predicted values. Detect anomalies hidden in large amounts of sensor data.

Factories that must use pumps to transport fluids, such as power plants and water treatment facilities, use sensors to detect large and small fluctuations in operation. Due to pump vibration or local temperature changes, several sensors exhibit relatively small rapid fluctuations at the same time. The large fluctuations that occur on a large number of sensors have large amplitudes and slow cycles, reflecting changes in power and factory operations.

Commenting on the new AI, Susumu Naito, a senior research scientist at Toshiba’s Corporate R&D Center, said: “The key factor behind the success of this technology is Toshiba’s energy and infrastructure business. We apply this to the design of two deep learning models. One fluctuate characteristic, and to ensure very high accuracy in predicting normal sensor values. These values ​​are compared with actual values ​​to detect abnormal conditions."

The test of artificial intelligence on the open data set of the water distribution (WADI) test bench*2 has confirmed the highest level of detection accuracy in the industry, which is 12%*3 higher than the existing technology. In another test, Toshiba also verified that artificial intelligence can be manually monitored by well-trained operators, identifying and reporting abnormal signs a full 6.8 days earlier than possible. Early detection of anomalies allows condition-based maintenance and contributes to efficient plant operation and maintenance.

Toshiba is conducting artificial intelligence online monitoring and early anomaly detection demonstration experiments at the Mikawa power plant operated by SIGMA POWER Ariake Corporation, a subsidiary of Toshiba Energy Systems and Solutions, in Omuta City, Fukuoka, Japan (Figure 2) & 3).

Looking to the future, Toshiba will prepare a proof-of-concept (PoC) system and explore its application in other types of industrial plants. Once commercialized, Toshiba plans to provide AI as a local solution and a cloud solution in Toshiba SPINEX Marketplace, Toshiba's IIoT service portal.

*2 Water Distribution (WADI): A reduced data set of the actual water treatment plant, including abnormal data.

AP Mathur and NO Tippenhauer, "SWaT: Water Treatment Testbed for ICS Safety Research and Training", Proceedings of the 2016 International Symposium on Smart Water Network Cyber-Physical Systems, pp. 31-36, April 2016.

*3 Anomaly detection machine learning technologies, such as UnSupervised Anomaly Detection (2020) and OminAnomaly (2019). The following paper discusses the comparison of each of these methods.

S. Naito, Y. Taguchi, K. Nakata, Y. Kato, "Using a two-stage autoencoder to detect anomalies in the multivariate time series of a large fluid treatment plant".

Toshiba leads a global group of companies that combine the knowledge and capabilities of more than 140 years of experience in a wide range of business areas from energy and social infrastructure to electronic equipment, as well as world-class capabilities in information processing, digital and artificial intelligence technologies. These unique advantages support Toshiba's continuous development into an infrastructure service company that promotes data utilization and digitization, and one of the world's leading cyber-physical system technology companies. Under the guidance of the Toshiba Group's basic commitment "Committed to People and Committed to the Future", Toshiba contributes to the positive development of society through services and solutions to create a better world. The group and its 120,000 employees worldwide ensure annual sales of more than 3.1 trillion yen (27.5 billion U.S. dollars) in fiscal year 2020. For more information about Toshiba, please visit www.global.toshiba/ww/outline/corporate.html

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