Exem, National Project for Electric Vehicle Motor and Battery Safety Monitoring... Fire Risk ↓

Importance of Utilizing Electric Vehicle Internal Data for Fire Risk and More
Increased Business Opportunities Through Energy Efficiency Know-How Acquisition
Internalization of Cloud-Based Big Data Analytics Capabilities

Exem announced on the 6th that it is smoothly progressing with the project "Development of Electric Vehicle Safety Monitoring Public Demonstration Service," which is led by the Ministry of Land, Infrastructure and Transport and managed by the Korea Agency for Infrastructure Technology Advancement.

Exem is also carrying out the project "Development of Housing Energy Usage (AMI) Data Distribution Platform and Service," led by the Ministry of Trade, Industry and Energy and managed by the Korea Energy Technology Evaluation Institute. Based on the enhanced expertise gained through various research and development projects and business executions, the company plans to strengthen its leadership in the big data market this year.

In the Ministry of Land, Infrastructure and Transport project, Exem is developing a public demonstration service that can monitor the driving behavior and safety status of electric vehicles. The project is scheduled until December 2025. It applies technology that diagnoses, predicts, and analyzes the battery status, component degradation level, and safety status of electric vehicles. Compared to conventional vehicles, eco-friendly vehicles including electric cars have a higher risk of fire, and the establishment of management systems for related internal data is slower. Exem anticipates that various businesses in the eco-friendly vehicle big data sector will expand in both public and private fields. The company expects to leverage its internal component system data analysis capabilities, internalized through national projects.

In the Ministry of Trade, Industry and Energy project, Exem is developing technology to collect real-time power energy usage data from AMI devices distributed to numerous houses nationwide, including data preprocessing technology that corrects data errors and losses, and data quality management standards to improve data quality. To enhance data usability and encourage consumers to reduce energy consumption, Exem is also developing the "AMI Power Data Distribution System" portal that shares energy usage data with power consumers or data users.

While carrying out the project, Exem developed a process that improves data accuracy through outlier correction and algorithm development for time-series power usage data, and filed a patent for it. Utilizing big data technology for energy efficiency and know-how in collecting, processing, analyzing, and utilizing large-scale real-time AMI data accumulated through annual projects with major public institutions such as Korea Electric Power Corporation, Korea Midland Power, and the Korea Energy Agency, Exem has further strengthened its expertise in energy big data.

Exem stated that to solidify its position in the big data market this year, it plans to actively participate in large-scale public institution energy big data projects and research and development projects in the energy efficiency sector, including electric vehicles and eco-friendly vehicles, until next year. Exem reported that it saved about 700 million KRW in labor costs last year through government subsidies from the Ministry of Land, Infrastructure and Transport and the Ministry of Trade, Industry and Energy projects.

Following the big data master plan consulting project for Korea Gas Corporation, Exem successfully completed the second phase of the Seoul AI-based big data service platform project and the integrated ISP/BPR project for the Police Agency’s fingerprint and criminal record system construction. Since phased projects can increase in scale by up to four times as they progress, Exem is focusing its efforts to secure opportunities for the next phase projects from a favorable position as the existing contractor.

Gop Young-seok, Head of Exem’s Big Data Business Division, said, "We will continue to expand our business areas with stable technology related to cloud-based big data analysis construction and various know-how in handling eco-friendly vehicle and energy data." He added, "The eVIX product was also fully upgraded to version 2.0 at the end of last month," and "Proof of Concept (PoC) is currently underway at a major corporation."

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