Beijing Daxing International Airport Terminal Smart Operations Platform

Beijing Daxing International Airport is the world's largest single-terminal airport, opened in September 2019, with a unique "hexagram" shape. The terminal is composed of 12,300 spherical nodes and over 60,000 rods, with over 60% of indoor areas receiving natural light. The airport is a 4F international airport, a world-class aviation hub, and a new source of national development. The project is a collaboration between Capital Airport Group's Beijing Daxing International Airport and Zhoyou Technology, focusing on the power and lighting control systems of the terminal.

Problem: The energy system has a wide coverage and a complex and diverse production and operation system. However, the degree of visualization is low, and there is fragmented multi-system data, difficulty in integrating cross-professional positioning and analysis, and uneven allocation of resources and actual demand. These problems are specifically manifested in the uneven distribution of power load, discrepancy between applied and actual power usage, incomplete information on power supply and usage, scattered and incomplete data, complex maintenance tasks for power distribution, insufficient use of illumination sensors, insufficient use of existing intelligent lighting fixtures, and limited control methods for lighting.

Requirements: A digital twin will be used to improve the visualization level and grasp the system operation status, breaking down the system barriers to achieve multi-system interaction and scheduling, and introducing intelligent algorithms to optimize energy efficiency.

Terminal Digital Twin Foundation

At Daxing Airport, Autodesk Revit was used to create a detailed BIM model of the terminal building. The model included over 1,000 system drawings and file materials, 120 product design prototypes and drafts, and on-site inspection data. The project asset information was used to build a static model of the terminal building, which was then connected to REVIT data and game engines. This connection was developed by 20 independent developers using a coding system to ensure that all components were updated and reviewed. The team converted Dynamo scripts into Revit API to improve the efficiency of functional implementation. The project used a "cloud" + "end" separation architecture to improve the platform's availability and usability.

Addition of Electricity Planning Completed in Seconds

The load management module determines whether a new electricity demand is met based on the position of the new electricity demand, the remaining amount of the distribution cabinet, and the position of the available distribution cabinet. The distribution cabinets that meet the screening conditions are displayed in a list, while indicating the key information such as cable length, cable model, and project reference price when selecting different distribution cabinets.

Intelligent Algorithm Optimizes Lighting Control

Lighting optimization is achieved by intelligent lighting control algorithms, which adjust lighting intensity based on the indoor natural light intensity and single-lamp control to achieve precise lighting control. This results in comfortable lighting and energy-saving electricity reductions.

Intelligent lighting control algorithm

To calculate the actual lighting value of a lighting fixture in a square, divide the project area into small 4m x 4m squares and simulate sunlight to obtain theoretical light intensity values of the sun at 0.75m and 2.6m. Obtain the constant light intensity values of the lighting design in the project area, and take the three closest lighting fixtures to the center of the square as the effective lighting fixtures of the square. Introduce the percentage of light intensity attenuation and calculate the light intensity value of the effective lighting fixture within the square at 0.75m. A sensor is installed at 2.6m to collect the light intensity values captured by the sensor. By comparing the actual light intensity value at 0.75m with the simulated light intensity value and the ratio at 2.6m, the actual light intensity value at 0.75m can be calculated. The actual sunlight intensity value at 0.75m can be calculated based on the actual sunlight intensity value and the actual lighting value of the lighting fixture at 0.75m. By knowing the designed light intensity value and the actual sunlight intensity value in the project area, the required supplementary lighting value within the square can be calculated.

To control the area air conditioning system, use a mobile phone to remotely monitor and personalize temperature control through a cloud control system of the air conditioning unit. This improves the convenience and efficiency of air conditioning control compared to the original method of adjusting the air conditioning through the central control.