Exploration and application of digital twin technology in the field of intelligent logistics

In the industrial intelligent logistics industry, digital twin technology also plays an important role. By virtualizing real-world logistics equipment, it is possible to rely on big data and machine learning to analyze massive logistics data, optimize the storage structure of warehouses, optimize the operating efficiency of equipment, and assist in decision-making and maintenance, thus releasing great potential for enterprises. As an innovation-driven full-link industrial intelligent logistics solution provider, Angge Technology 's core product, the digital twin system, can realize big data analysis, three-dimensional visualization, real-time visibility, and dynamic display of the entire process .

In 2018, in the intelligent logistics project of Zhejiang Dingmei Intelligent Equipment Co., Ltd., Enotek's equipment monitoring innovatively adopted 3D mode to realize warehouse equipment monitoring for customers. It helps enterprises to check equipment information at any time, understand the working conditions of the warehouse area, monitor the operation status of equipment, and discover equipment failures in time.

Initially, 3D monitoring technology was relatively crude. Although 3D monitoring of the warehouse area was achieved, the scene and equipment display were not detailed enough. The tiny movements of many devices could not be displayed, and it was impossible to process massive amounts of data.

With the further development of 5G communication, virtual simulation and other software and hardware technologies, 3D monitoring technology has gradually developed into a technology with a more technological name - digital twin. Enotek's 3D monitoring system has also been gradually upgraded to the Enotek digital twin system after being implemented and applied in multiple projects.

In 2020, we deployed the first digital twin system for a customer in the fiberglass industry , which can intuitively display the equipment and cargo locations in the warehouse area in three dimensions, accurately reflect their working status in real time, provide accurate reports, and provide decision-making basis for managers.