We participated in the Beijing-Tianjin-Hebei Elevator Engineering And Safety Development Forum 2019 held in Langfang, China on 24th April 2019. It was a fruitful sharing session with experts, discussing topics pertaining to lift safety, latest add-ons to support the safety requirements and the practical approaches to resolve lift breakdowns. We also shared many common views particularly on artificial intelligence (AI) vs human approach in identifying the causes of lift breakdowns.
In short, a good knowledge of elevators both theoretical and practical are essential requirements to resolve lift issues. For AI to be able to identify the root cause of lift breakdown, a substantial amount of data that matches the profile of the defective lift is required. Lifts with similar specifications may have different types of lift faults. The smooth operation of the lift system depends, not just on the electronic and control operation, but also on the proper installation of the lift. If the AI programmer does not have the required experience in interpreting the lift faults, the AI system may not be programmed correctly. This may lead to inaccurate lift diagnosis. Lift diagnosis cannot be solely determined by the frequency or probability of lift faults. Detailed engineering is required to identify the fault and solution to support the diagnosis.
Though a well programmed AI system is a good aid to support lift diagnosis, engineers and specialists cannot forgo the basics of engineering troubleshooting. With or without AI, they still need to have the necessary experience in handling lift breakdown through fundamental engineering methods such as analyzing the circuit system diagram and/or mechanical system ; and practical experience in troubleshooting through real time lift faults.