Aircraft painting is a critical process in the aviation manufacturing field, where paint quality directly impacts the aircraft's aerodynamic performance, corrosion resistance, and service life. Among these, the air circulation status (air volume, airflow organization) and temperature stability in the painting environment are the core factors determining paint quality:
Traditional painting workshops rely on manual adjustment of fans and dampers, leading to issues such as delayed response, large parameter deviations, and high energy consumption. To address these pain points, this project proposes using Siemens BACnet ATEC devices as the core, with WINCC as the operation control system, to build an integrated "sensing - control - monitoring" system for precise and automated regulation of the painting environment.
The project evaluated the following three schemes:
| Scheme | Description | Pros and Cons |
|---|---|---|
| Scheme 1 | ARMxy paired with BLIoTLink to collect BACnet ATEC; WINCC controls ARMxy via Modbus TCP or OPC UA; logic control and other modes require development on ARMxy. | High flexibility, but complex development. |
| Scheme 2 | BL118 Node-RED gateway; collects BACnet ATEC via Node-RED; WINCC connects via Modbus TCP; requires familiarity with Node-RED. | Easy visual programming, but steep learning curve. |
| Scheme 3 | IoT gateway BA115+ PLC; IoT gateway collects BACnet ATEC; PLC collects from IoT gateway; WINCC connects to PLC. | Stable and reliable, suitable for rapid implementation. |
Due to the project timeline of only one month and the engineers' familiarity, Scheme Three was selected: The gateway collects BACnet ATEC via BACnet MS/TP; PLC collects from the IoT gateway via Modbus TCP; PLC handles logic and module switching programming.
The entire business jet painting workshop requires 180 fans and dampers, with air volume and temperature adjustment functions, supporting the BACnet MS/TP protocol.
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The PLC serves as the control core, with logic focused on the linked adjustment of "air volume - damper - temperature" and switching between multiple operating modes.
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(The content in this section of the document is incomplete; interface design details, such as monitoring panels, alarm displays, and parameter adjustments, can be supplemented as needed.)
During the solution evaluation, an IoT gateway BA115 + PLC model was selected (BACnet MS/TP to collect data from 180 fans and dampers, Modbus TCP transmission, and PLC to handle the air volume, valve, and temperature linkage logic) to accommodate the one-month project schedule. During implementation, 10 gateways shared data collection (polling >1s, limited to 20 commands/s) to ensure precise automated control, improve paint durability, and optimize energy efficiency.