KR-20260066464-A - Technology research to increase the efficiency of integrated port management in port unloading operations

Abstract

Technology research aimed at enhancing the efficiency of integrated management in port cargo handling operations aims to develop a system that improves the speed, accuracy, and safety of operations by integrating real-time data collection, resource allocation optimization, safety monitoring, and remote control functions.

Inventors

• 김영관
• 구동선
• 이동찬
• 김종실
• 이길도
• 김성철
• 류준혁
• 이노대

Assignees

• 가야항만종합안전주식회사

Dates

Publication Date

20260512

Application Date

20241104

Claims (1)

1. "A port cargo handling integrated management system for efficiently managing cargo handling operations within a port, comprising a real-time data collection module, a data analysis and prediction module, a resource allocation optimization module, a safety monitoring module, and a remote control module, wherein the real-time data collection module collects work status, equipment location, and cargo volume data from various equipment and sensors within the port; the data analysis and prediction module optimizes resource allocation for cargo handling operations based on the collected data and maximizes equipment operational efficiency through workload prediction; the resource allocation optimization module allocates necessary equipment and personnel according to the predicted workload; the safety monitoring module detects the location of workers and equipment in real time to restrict access to safety zones and provides warnings; and the remote control module remotely controls each piece of equipment through the integrated system to enhance operational efficiency and safety."

Description

Technology research to increase the efficiency of integrated port management in port unloading operations Technology capable of centrally integrating data from various port equipment and systems, and processing and managing it in real time. IoT and sensor technologies that utilize data analysis and artificial intelligence (AI) algorithms to optimize workflows and monitor the location and status of equipment and logistics within the port. This enables real-time information collection and maximizes the utilization of equipment and resources. Technology for automatically operating and controlling port equipment such as smart cranes and autonomous cargo handling vehicles. Automation systems contribute to increasing efficiency and reducing reliance on human labor, and technologies such as high-speed networks, wireless communication, and 5G are required for seamless communication between various devices and systems within the port. A stable communication infrastructure is essential for data integration and real-time monitoring. Cybersecurity technologies to protect information systems and equipment within ports. For ports, preparation against hacking or data leaks is essential in addition to physical security, and technologies to optimize energy consumption and reduce carbon emissions are required. These include utilizing renewable energy or implementing smart grids and energy management systems to enhance energy efficiency. AI and big data analysis technologies that analyze and predict cargo handling patterns. Systems that optimize work plans, increase operational efficiency, and support port operations managers in making effective decisions based on real-time data and analysis results are critical technological fields for enhancing the efficiency of port cargo handling operations. It is based on various technological advancements and market demands aimed at enhancing the efficiency and accuracy of port operations. While most port cargo handling operations were previously performed manually, automation has enabled faster and more precise work. In particular, the introduction of autonomous cargo handling equipment and robots, along with automated machinery such as smart cranes, has improved efficiency and safety. To manage equipment and workflows within the port in real time, all data must be integrated and managed by a central system. To this end, technologies utilizing IoT and sensor networks have been developed to monitor the location, operational status, and speed of each piece of equipment. As port cargo volumes increase and predictability emerges as a critical challenge, AI and big data analysis technologies have become necessary. These technologies are utilized to analyze cargo handling data to optimize workflows and to plan future demand and work schedules in advance using predictive models. Essential IoT technology for smart ports enables each piece of equipment and device to connect to a central integrated system, allowing for the collection, analysis, and manipulation of information. IoT sensors allow for the real-time identification of the status and location of cargo handling equipment, enabling accurate monitoring of its operational status. As a critical technological element of the Port Integrated Management System, a high-speed network environment is required to ensure seamless intercommunication among all equipment and facilities within the port. Real-time data transmission and reception are enabled through 5G networks and next-generation communication technologies, thereby minimizing latency in the management system. Smart energy management and eco-friendly technologies are being introduced to enhance energy efficiency and reduce carbon emissions in large-scale ports. This increases the sustainability of port operations, with technologies such as reduced power consumption and the use of eco-friendly fuels serving as underlying technologies. As systems within ports become increasingly digitized, security has become an essential underlying technology. To prepare for cyber attacks, it has become crucial to strengthen the security framework within the Port Integrated Management System and maintain a stable operating environment by introducing data protection technologies. These underlying technologies enable the invention of the Port Integrated Management System and play a vital role in enhancing the operational efficiency, environmental adaptability, and competitiveness of ports. 1. Implementation of Data Integration and Real-time Monitoring Problem: Real-time information is lacking because data generated from various equipment, systems, and platforms is not integrated. Solution: Establish a cloud-based central integrated database to integrate data collected from all equipment and sensors within the port in real time. This improves the ability to monitor and manage the status and operational operations of each piece of equipment in real time. 2. Introduction of Prediction and Optimization Algorithm