The Reason Behind Halving Elevator Stoppage Accidents: Big Data and AI

Hyundai Elevator announced on the 27th that it has recently completed the national project led by the Korea Institute for Advancement of Technology titled ‘Development of Operation and Management Service Technology to Increase Elevator Availability Time.’

This project was promoted to reduce passenger inconvenience and enhance industrial competitiveness by minimizing elevator downtime caused by malfunctions. The company stated that it can reduce the number of stoppages due to elevator shutdown malfunctions by 43%.

Existing elevator maintenance focused on reducing response time after a malfunction occurs. This research was initiated based on the idea that with advancements in sensing technology, big data, and artificial intelligence (AI) prediction technology, it is possible to detect malfunctions before they occur and respond proactively.

They developed a component lifespan measurement model, as well as malfunction detection and classification services, pre-failure detection alarm services, and elevator-dedicated Internet of Things (IoT) gateways. Customers can recognize the optimal component replacement cycle and prepare countermeasures when abnormal signals are detected. Service technicians can obtain information about the issue on-site simultaneously with receiving malfunction reports, thereby reducing repair time.

This research was led by the company and conducted over 33 months from February 2020 until the end of last year. Inha University, Chung-Ang University, Korea Institute of Machinery and Materials, Korea Elevator Safety Agency, and ERC Co., Ltd. participated together.

Hyundai Elevator stated, "After applying the technology for one year to 1,010 elevators at 47 sites nationwide and analyzing the results, the number of stoppage malfunctions decreased by 43%," adding, "We plan to introduce the service incorporating these achievements in June."

This content was produced with the assistance of AI translation services.