| I&T Solution |
Enhancing Indoor Comfort and Elevating Air Conditioning System Performance through Advanced Artificial Intelligence Solutions
(REF: S-1493) |
| Trial Project |
|
| Solution Feature |
- Improve the insulation of the enclosure structure, add environmental sensors, frequency converters, electric air valves, etc., to realize automated system operation and online data collection
- Add a passenger flow detector to estimate passenger flow density, and adjust system parameters in conjunction with the ferry schedule to meet the energy-saving operation requirements of the system to supply cooling on demand
- Add energy metering devices, and list energy-saving test standards to ensure that energy-saving effects can be assessed and verified online
- Establish a cloud-edge synchronized AI self-control system to achieve a system that is monitorable, controllable, traceable, learnable, and growable
- . Use AI technology to precisely predict and optimize the control of the system's cooling demand and energy consumption, ensuring that the system operates according to the lowest energy consumption control instructions
|
| Trial Application and Expected Outcome |
- By adding IoT sensors, actuators, and controllers, achieve fully automated control and unmanned operation of the air conditioning unit
- Based on the addition of indoor temperature and humidity sensors and the improvement of the air conditioning control system, the indoor temperature and humidity are controlled within the range of human comfort
- Establish a high-precision building load prediction model with a prediction error of no more than 10% within seven days
- Set up a big data model for air conditioning system fault detection, with a diagnostic accuracy rate of over 90%
- Use AI technology to predict and optimize the control of the air conditioning system's energy consumption. While ensuring comfort, achieve energy savings of no less than 10%
|
| Additional Solution Information |
公開方案资料：基于人工智能技术提升室内舒适度和空调系统能效(With English Version).pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | LINKC COMPANY LIMITED | | Address | : | UNIT 917B 9/F TOWER A NEW MANDARIN PLAZA NO 14 SCIENCE MUSEUM RD TST KL | | Contact Person | : | Reina |
| Position | : | Project Manager | | Tel | : | 69963664 | | Email | : |
yovyoung@hklinkc.com | | Webpage | : | https://www.hklinkc.com |
|
