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REFERENCE Smart Disaster Safety

REFERENCE

Based on over 20 years of experience in building smart factories,
DL Information Technology Co. Ltd. is creating manufacturing big data analysis
and AI application cases in various industrial fields

Smart Disaster Safety Construction Case_2023 Chungcheongbuk-do AI and Metaverse-based Industrial Disaster Integrated Control System Construction and Operation Case

Through the 2023 Chungcheongbuk-do AI and Metaverse-based Industrial Safety Management System Reinforcement Project, DL Information Technology Co., Ltd. has completed construction and is operating an industrial disaster integrated control system for 10 Chungcheongbuk-do manufacturing companies together with a consortium
of 4 companies.

  • Real-time collection of IoT/UWB sensor data

  • CCTV video analysis

  • Integrated disaster safety control

  • Individual disaster safety control

Real-time collection of IoT/UWB sensor data CCTV video analysis Establishment of an integrated control system
Establishment of real-time data collection and transmission infrastructure
Establishment of real-time transmission infrastructure for IoT sensors and UWB sensors, CCTV video data, deep learning analysis results, etc.
Establishment of data pipelines that can be stably linked to various environments through establishment of an asynchronous data collection/linkage environment
Establishment of a real-time integrated/individual control platform
Real-time control of disaster/alarm/equipment operation status of all demonstration companies
Management of CCTV and events for each demonstration company through individual control platforms for each demonstration company
Establishment of a metaverse platform
Visualization of data collected from each demonstration company (IoT, CCTV, UWB, etc.) in a 3D world built identically to the demonstration company
Providing a metaverse platform for real-time industrial accident control in manufacturing sites and an integrated and individual control operation environment
Paint Point

  • Safety management
    self-diagnosis
    required

  • Interest and
    will required

  • Increase in new types
    of safety accidents

  • Increase in need
    for worker safety

Self-diagnosis of safety management of small and medium-sized enterprises required
Small and medium-sized enterprises, which account for approximately 80-90% of all industrial accidents in Korea, have a high risk of industrial accidents, and their safety management is very inadequate. The Industrial Safety and Health Act, which is a safety management-related law, is complicated, extensive, and technical, making it difficult even for large corporations to fully understand it
The enactment of the Severe Disaster Punishment Act has increased the importance of preventing industrial accidents, and the government has also promoted various prevention policies and support projects targeting small and medium-sized businesses, leading to an urgent need for interest and will to enhance safety capabilities
Increase in new types of safety accidents due to the introduction of new technologies
In companies that are introducing and operating factory automation or smart factories, new types of safety accidents that are different from the past are occurring, and accidents caused by new equipment such as industrial robots are more than twice as dangerous as the average accidents in the conventional manufacturing industry
In line with the speed of industrial intelligence and automation, there is an increasing need to introduce advanced ICT-based safety management technology and establish a disaster safety management system at industrial sites to protect the safety of workers
Introduction effect
  • Accident prevention and reduction through integrated disaster safety monitoring
    Real-time data enables rapid response to emergency situations, and continuous monitoring enables rapid response to changes in situations, thereby reducing accident rates through safety accident prevention and worker education
    Institutionalization and expansion of CCTV installation in red zones of small and medium-sized enterprises for the purpose of figuring out the cause of major accidents through monitoring, risk elimination and improvement of hazardous work environments, thereby directly preventing safety and major accidents at workplaces in the future
  • Culture that values industrial safety
    Maintaining a safe work environment from disasters and accidents and applying AI image analysis and structured data analysis rulesets derived from accumulated data from disaster safety sites contribute to protecting the lives and safety of workers by blocking factors that may lead to disasters and accidents in advance
Client company