Abstract
In order to improve the effect of intelligent terminal container management, this paper improves the Internet of Things and big data technology, analyzes the RFID middleware architecture based on the actual needs of container handling management, and proposes a new method of RFID middleware load balancing. Moreover, this paper combines the Internet of Things technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system. After constructing a terminal container handling intelligent management system based on the Internet of Things and big data technology, the performance of the system is verified, and multiple sets of simulation data are used to conduct research. The experimental research results show that the terminal container handling management system based on the Internet of Things and big data constructed in this paper basically meets the actual needs of use.
Highlights
With the rapid development of China’s terminal container transportation industry, major port group companies are facing unprecedented challenges
National inspection, and other government supervision departments use image processing pattern recognition technology to identify the number of containers. is processing method only has a recognition rate of 80% to 98%, the container traffic management and tracking monitoring are all in an isolated state, and it is impossible to realize the efficient and automated production of terminal containers
Improving the operational efficiency of terminal containers is directly related to the economic benefits of various enterprises. e use of manual implementation to identify and count the vehicle numbers and container numbers of terminal containers is likely to cause duplication of work, human errors, time delays, stagnation of goods, and low efficiency. erefore, in order to avoid the waste of container resources in the terminal, it is an urgent issue to improve the automatic management capabilities of terminal containers and modern management facilities [3]
Summary
With the rapid development of China’s terminal container transportation industry, major port group companies are facing unprecedented challenges. Is processing method only has a recognition rate of 80% to 98%, the container traffic management and tracking monitoring are all in an isolated state, and it is impossible to realize the efficient and automated production of terminal containers. It is a heavy and slow fatigue job for government workers [2]. Scientific Programming operation efficiency, production costs, and sustainable development, port automation has become the general trend of the new era of port development by virtue of its significant advantages such as efficient operation, low labor cost, safety, and reliability. Is paper combines the Internet of ings technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system to provide a reference for subsequent intelligent container loading and unloading and management
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