Mando and SoCar Join Forces to Develop 'Soundness Diagnosis System'

IoT Sensor-Based Health Diagnosis of Carsharing Vehicles

On the 14th, Park Gyusik, Executive Director and Head of Mando F3 Lab (left), and Won Jongpil, Chief Technology Officer of Socar, are taking a commemorative photo in the gallery room at Mando Global R&D Center in Pangyo. (Photo by Mando)

[Asia Economy Reporter Jihee Kim] Mando, a specialized automotive parts company, is partnering with car-sharing service company Socar to develop a system that can diagnose the health of car-sharing vehicles using Internet of Things (IoT) sensors.

On the 15th, Mando announced that it signed a memorandum of understanding (MOU) with Socar on the 14th at the Pangyo Global R&D Center to develop an 'IoT Sensor-Based Car-Sharing Connected Car Health Diagnosis System.' Key representatives from both companies attended the signing ceremony, including Kyu-sik Park, Executive Director of Mando WG Campus F3 Lab, and Jongpil Won, Chief Technology Officer of Socar.

The health diagnosis system is a device that diagnoses the condition of key components directly related to vehicle driving safety in real time. Under this agreement, the two companies will first begin developing a brake diagnosis system for vehicles. Brakes are a function directly linked to driver safety and account for a significant portion of vehicle maintenance costs. Currently, Socar determines brake replacement timing based on the mileage of car-sharing vehicles and conducts weekly inspections of brake conditions.

Mando plans to install the brake diagnosis system on some of Socar's car-sharing vehicles within this month. The IoT sensor-based diagnosis system can detect and predict abnormalities in brake function, enabling Socar to more accurately determine the replacement timing of related parts such as brake pads. Socar will equip vehicles with telematics devices to store sensor-acquired information in a database and share it with Mando. Telematics is a device that combines automobiles and wireless communication to provide various information during vehicle operation.

Executive Director Park stated, "Through this collaboration, we aim to enhance the health of car-sharing vehicles and further analyze the big data of various brake operating conditions collected from car-sharing vehicles using AI technology to reflect it in the optimized design of parts and systems." CTO Won said, "We hope this collaboration will serve as an opportunity to build a remote vehicle diagnosis system for autonomous driving."

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