Implementation of AIoT-based CCTV 3D Video and Augmented Reality Design Technology to Build a Safe Environment for Shipyards: Focus on technical services for disaster prevention
Authors: Yoon Jong Hwa , Joo Yong Taek , Yoon Dal Hwan ,   Korea Safety Culture Society
Published: July 2024

This study aims to implement AIoT-based safety module algorithm and platform service technology to build a safety environment in shipyards. To this end, platform service technology is implemented through safety module algorithms and killer content implementation through artificial intelligence learning. In particular, accident prevention and prediction are very important for the continuous ESG management of exporting companies, and safety mode service technology is tested so that managers can quickly evaluate risks through the application of platform service technology and safety modules to prevent serious accidents. The Enforcement Decree of the Act on the Punishment of Serious Disasters, etc., which applies to workplaces with 50 or fewer employees from 2024, suggests the necessity of preparing a minimum safety framework to prevent serious accidents in the establishment and implementation of a safety and health management system. In particular, standardization and algorithm development for risk assessment in accordance with the enactment of notices and guidelines for each field are required. Based on the implementation of these laws, we present decision methods and guidelines for safety diagnosis determination through the implementation of analysis algorithms based on advanced technologies (sensor IoT, network, wearable devices, AI analysis technology, etc.) for major safety accident factors. Until recently, the focus was on the importance of the technical area by focusing on the development, installation, and operation of technology-oriented systems, and if the safety grade was worked on according to the institutional impact on risk diagnosis, the risk factors and harmful factors of the workplace should be identified in advance in accordance with the enforcement of the Serious Disaster Act to estimate and determine the likelihood of injury or disease caused by the factor and the intensity of the disaster, and to establish and implement reduction measures on their own. As Article 36 of the Occupational Safety and Health Act mandates employers to conduct risk assessments on their own, attention to disaster and safety has become commonplace. Accordingly, it is possible to prevent accidents in advance through response solutions based on AIoT technology, and to minimize workers' safety guarantees and accidents through rapid and effective responses.
Therefore, by detecting and analyzing risk factors in the field in real time using sensor AIoT technology for small and medium-sized shipyards in poor environments, potential risks can be identified early and serious accidents can be handled quickly. AIoT service technology can warn of the possibility of an accident and the high probability of an accident by establishing a proactive system using big data analysis and prediction models. In addition, virtual space utilization technology based on artificial intelligence can inform field workers of risks in real time and take immediate safety measures through risk factor analysis. Recently, due to the aging society and the MZ generation's avoidance of field work, a large number of foreign workers have flowed in, and the responsibility for accidents at small and medium-sized shipyards due to lack of communication and unskilled workers is increasing. Moreover, from 2024, SMEs in poor environments must respond through safety environment solutions by applying the Major Disaster Act to small and medium-sized workplaces with 50 or fewer employees.