1. Company introduction

Seoul Metro, which used to operate subway lines 1 to 4, and Seoul Metropolitan Rapid Transit Corporation, which operated lines 5 to 8, were established by integrating them.

2. Problem Background and Summary

Developing and upgrading algorithms to monitor the abnormal conditions and major component conditions of air conditioning installations installed and operated in each station for passenger safety

Identify the data characteristics that can extract the characteristics of failure and part condition

Develops a method of dividing sensing data collected in real time over 24 hours into point-of-action units.

How to efficiently apply algorithms developed in more than 7,000 different standards of air conditioners and analyze data analysis results

3. Solving Process

Develop data preprocessing methods, such as time series synchronization techniques, to divide current data of air conditioning motors into point of operation units.

Comparative analysis of current data and vibration data provides a method of data analysis for the characteristics and type of failure of the equipment

Developing a health monitoring algorithm that uses current data to predict and informs the air-conditioner V-belt -out detection model and when to replace key parts (V-belt, bearing)

Development of a methodology that can integrate key component status monitoring algorithms into individual air conditioners

Sharing the results of applying non-map clustering techniques to find replacement points for key components without additional replacement timing

4. Ripple effects and future plans

Jointly developed integrated models are tested in various subway stations to detect component abnormalities with 95% accuracy on air-conditioner V-belt (7) and bearing (5).

The test will be carried out by applying it to air conditioners of different station and specifications.

The Seoul Metropolitan Transportation Corporation's Machinery Department plans to build a system that analyzes the operation data of the air conditioner to determine and inform the problem by installing a model jointly developed with the institute on the server.

Expect increased air conditioning operation rate by timely informing of life expectancy or replacement timing for major components

Mean Time to Repair Reduction Effect by enabling repair preparation by failure prediction alarm

The stable operation of the subway ventilation system is expected to improve customer satisfaction by maintaining pleasant air quality.