Distributed HVAC Communication Network for Flexible Zone Control
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Solution Overview
Problem
Conventional HVAC systems lack advanced control and data acquisition techniques, making them less flexible, more difficult to install and maintain, and less efficient in temperature and humidity control, with limited diagnostic capabilities and shorter service life.
Innovation Solution
A networked HVAC system with a data processing and communication network that allows multiple components to share identity, capability, status, and operational data via a data bus, enabling more flexible installation, easier operation, improved control, enhanced energy efficiency, simplified maintenance, and longer service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional HVAC systems are used, then the system structure is simple, but the control flexibility and diagnostic capability are limited
Solution Approach 1:
The HVAC system is divided into multiple independent functional modules (temperature control module, humidity control module, ventilation module, heating module, cooling module) that can operate independently yet coordinate through a unified control system. Each module has its own control logic and can be configured separately, providing flexibility without overwhelming complexity.
Solution Approach 2:
The control system is designed as a universal platform that can manage multiple types of HVAC equipment and functions through a single interface. The system can adapt to different configurations (single-zone, multi-zone, various equipment types) without requiring separate control systems, thereby improving versatility while maintaining manageable complexity through standardization.
2Ease of repair
If conventional HVAC systems are used, then the installation process is straightforward, but the system is more difficult to maintain
Solution Approach 1:
The system continuously monitors operational parameters (temperature, humidity, equipment status, energy consumption) and provides real-time feedback to the control system. This enables automatic diagnostics, performance optimization, and predictive maintenance alerts, making maintenance easier despite increased system complexity through intelligent monitoring.
Solution Approach 2:
The control system automatically performs self-diagnostics, fault detection, and optimization adjustments without requiring constant manual intervention. The system can identify issues, suggest repairs, and even automatically adjust operations to maintain optimal performance, reducing maintenance burden despite complex functionality.
3Use of energy by moving object
If conventional HVAC systems are used, then the system is easier to install, but the energy efficiency is lower
Solution Approach 1:
The control system dynamically adjusts operational parameters (temperature setpoints, equipment runtime, ventilation rates) based on real-time conditions such as occupancy, outdoor weather, and indoor environmental quality. This dynamic optimization improves energy efficiency by avoiding unnecessary operation while adapting to changing conditions, justified by the intelligent control complexity.
Solution Approach 2:
The system continuously monitors and optimizes HVAC operations rather than using simple on/off control. Continuous adjustment of parameters maintains optimal efficiency throughout operation, and the system ensures uninterrupted useful action by coordinating multiple equipment components to work together efficiently at all times.
4Measurement precision
If conventional HVAC systems are used, then the system has simpler structure, but the temperature and humidity control is less efficient
Solution Approach 1:
The system implements zone-specific control with independent temperature and humidity management for different areas. Each zone can have customized setpoints and control strategies based on its specific requirements (occupancy, function, external conditions), achieving high precision control locally without requiring complex centralized management of every parameter.
Data Source
AI summary
The disclosure provides an HVAC data processing and communication network and a method of manufacturing the same. In an embodiment, the network includes a system device and a subnet controller. The system device is adapted to provide a service and publish a message including a device status vector representing an availability of the system device to provide the service. The subnet controller is adapted to receive the message from the system device including the device status vector via a data bus.