HVAC Zoning via Data Bus Subnet Controllers
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Solution Overview
Problem
Conventional HVAC systems lack advanced control and data acquisition techniques, leading to limitations in installation, operation, maintenance, and energy efficiency, as well as requiring more frequent repairs and shorter service life.
Innovation Solution
A data processing and communication network for HVAC systems that utilizes a data bus for communication among components, enabling flexible installation, easier operation, superior temperature and humidity control, improved energy efficiency, and simplified diagnostics through subnet controllers and user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional HVAC systems are used, then basic temperature control is provided, but installation flexibility and operational efficiency are limited
Solution Approach 1:
The HVAC system is divided into multiple zones with independent subnet controllers, each managing specific demand units. This segmentation allows flexible installation and operation while maintaining basic temperature control, resolving the contradiction between operational efficiency and system complexity.
Solution Approach 2:
A data bus network layer is added to the conventional HVAC architecture, creating a multi-dimensional control structure. This additional communication dimension enables enhanced operational efficiency without fundamentally redesigning the physical HVAC components, thus managing the complexity- efficiency tradeoff.
2Use of energy by moving object
If advanced control techniques are implemented, then energy efficiency and temperature control improve, but system complexity increases
Solution Approach 1:
Subnet controllers continuously monitor zone conditions and adjust demand unit operation accordingly, implementing feedback control to improve energy efficiency. The data bus enables real-time communication of operational status and environmental parameters, allowing intelligent energy management without excessive complexity.
Solution Approach 2:
Each subnet controller autonomously manages its associated zones and demand units, making local decisions about energy consumption based on zone requirements. This distributed self-service approach improves overall energy efficiency while avoiding the complexity of centralized control for every decision.
3Manufacturing precision
If multiple independent controllers are used for zoning, then temperature and humidity control improve, but communication and coordination become more complex
Solution Approach 1:
The data bus serves multiple functions simultaneously: it communicates temperature and humidity data, transmits control commands, coordinates between subnet controllers, and enables diagnostic capabilities. This multi-functional communication infrastructure achieves precise environmental control without proportionally increasing communication complexity.
Data Source
AI summary
The disclosure provides an HVAC data processing and communication network. In an embodiment, the network includes a first zone and a second zone. The first zone has a first demand unit and a first subnet controller configured to control an operation of the first demand unit via a data bus. The second zone has a second demand unit and a second subnet controller configured to control an operation of the second demand unit via the data bus. The second subnet controller is further configured to communicate with the first subnet controller via the data bus.