Thingspire (CEO Kwangjae Cho), a company specializing in industrial energy AI, has been selected as the lead organization for the AI convergence energy efficiency project supported by the National IT Promotion Agency (NIPA) for the third consecutive year, and this year, it is the 'Energy Saving Project through Optimal Control of Rotating Machines'. It was announced on the 29th that it was successfully carried out.
Source: Maeil Business Newspaper (https://www.mk.co.kr/news/business/10586047)
Entered: 2022-12-29
< Photo: Rotating equipment optimal control dashboard >
Thingspire (CEO Kwangjae Cho), a company specializing in industrial energy AI, has been selected as the lead organization for the AI convergence energy efficiency project supported by the National IT Promotion Agency (NIPA) for the third consecutive year, and this year, it is the 'Energy Saving Project through Optimal Control of Rotating Machines'. It was announced on the 29th that it was successfully carried out.
Thingspire (CEO Kwangjae Cho) performed AI data processing, preprocessing, and modeling verification as a participating company in the 1st AI convergence energy efficiency project in 2020, and later participated in the 2nd (2021) and 3rd (2022-2023) projects. As the only company selected as the host organization to carry out the project for three consecutive years, it has secured unrivaled technological capabilities in the energy and carbon-neutral AI fields, and was selected as an excellent business case in 2021.
In its main project last year, Thingspire detected leaks in steam facilities through a semi-supervised learning-based steam trap predictive maintenance solution using Thingspire MLOps(TM), an AI automation tool, targeting semiconductor and dyeing process manufacturing companies located in the Banwol-sihwa Industrial Complex. It was revealed that the heat energy lost by predicting failure and remaining lifespan could be reduced by 7.9%. At the same time, the company announced that it had developed an AI and visualization solution using power data collected from FEMS (Factory Energy Management System) and achieved a power consumption reduction rate of 11.8% through detection of low-efficiency facilities and maintenance activities. Based on last year's business performance experience, this year, manufacturing companies will be able to reduce power usage by 12.2% compared to previous years by developing a power usage reduction solution for optimal control according to load changes in rotating equipment (motors, air compressors, etc.) with high power consumption. He said there was.
Regarding this performance, Thingspire AI Research Center Director Chul Kim said, “Our solution model is achieved through the Thingspire MLOps(TM) solution, which provides a collaborative link between process and facility experts with decades of experience and professional AI developers. One of the representative solutions is an artificial intelligence (XAI)-based fault diagnosis and prediction solution that can be explained by a semi-supervised learning model using expert diagnosis data and a large amount of non-diagnostic data. In addition, there is a vision-based facility damage diagnosis. There are technology and energy generation and consumption prediction solutions.
“The characteristics of the Thingspire MLOps(TM) solution are that it provides usability and automation that allows customers to create and apply AI models themselves, supporting the application of AI to various fields without dependence on AI developers.” In particular, it was reported that Thingspire's proprietary Automated Machine Learning (AutoML) technology has improved performance over the latest hyperparameter optimization (BOHB, SMAC, etc.) technology.
Choi Seong-jin, head of AI Convergence Business at Thingsspire, said, “Next year, based on our experience in carrying out existing projects, we will collaborate with the Artificial Intelligence Industrial Convergence Group, which participated as a partner organization, to promote, expand and apply energy saving cases for small and medium-sized businesses in the Gwangju industrial complex, and further develop a smart energy platform for industrial complexes nationwide. “We plan to actively participate in construction projects and continue to strive to improve the competitiveness of small and medium-sized businesses through AI, while also expanding into the global market.”
Entered: 2022-12-29 10:10:00