Distributed HVAC Alarm Diagnostics Over a Shared Data Bus
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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 communication between components.
Innovation Solution
A distributed-architecture HVAC system with a data processing and communication network that allows components to share identity, capability, status, and operational data via a data bus, enabling advanced control, easier installation and operation, improved energy efficiency, and enhanced diagnostic capabilities through a user interface and system devices that store alarm data and send reporting messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional HVAC systems are used, then the system structure is simple, but the diagnostic capability and communication between components are limited
Solution Approach 1:
The HVAC system is divided into multiple independent control units, each capable of autonomous operation and local decision-making. Each unit has its own microprocessor and memory, allowing the system to be modular and scalable while improving diagnostic capability through distributed intelligence.
Solution Approach 2:
The control units are designed with universal communication capabilities through the data bus, allowing them to perform multiple functions including temperature control, humidity control, and diagnostic reporting. The system can adapt to different HVAC configurations while maintaining consistent diagnostic protocols.
2Productivity
If advanced control and communication techniques are implemented, then temperature and humidity control efficiency is improved, but installation and maintenance difficulty increases
Solution Approach 1:
The control units automatically perform diagnostics and report their status through the data bus without requiring manual intervention. The system self-monitors its own operation, detecting faults and communicating them to the user interface, which simplifies maintenance while maintaining advanced control capabilities.
Solution Approach 2:
The system continuously monitors temperature, humidity, and component status through sensors and communicates this information back through the data bus to the control units and user interface. This automated feedback loop improves control efficiency while reducing the need for manual monitoring and adjustment.
3Loss of information
If distributed architecture with data bus communication is used, then component communication and diagnostic capabilities are enhanced, but system complexity increases
Solution Approach 1:
Multiple control units are merged into a unified communication network through the data bus, allowing them to share information and coordinate operation. The data bus consolidates communication pathways, reducing the need for separate wiring for each component while enabling comprehensive data exchange and diagnostic capabilities.
Data Source
AI summary
The disclosure includes an HVAC data processing and communication network, and a method of manufacturing the same. In one embodiment the HVAC data processing and communication network includes a system device and a user interface. The system device is configured to store alarm data in local memory in response to an alarm event. The user interface is configured to send an alarm request message to the system device, and to receive an alarm reporting message including alarm data from the system device via a data bus.