HVAC Cloud Gateway for Remote Sensor Control
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Solution Overview
Problem
Existing systems for controlling heating, cooling, and refrigeration electronic expansion valve and sensor systems lack efficient and flexible remote management capabilities, particularly in utilizing cloud computing architecture for wireless control and data analysis.
Innovation Solution
A wireless cloud computing architecture that includes intelligent controllers, a local intelligent gateway, and a cloud computing network, enabling remote control and monitoring of HVAC/R systems through client application software and microvalves with advanced communication protocols like Wi-Fi, Bluetooth, and cellular modems, allowing for data storage, analysis, and policy-based operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud computing network is implemented for remote control, then ease of operation is improved, but device complexity increases
Solution Approach 1:
A cloud computing network acts as an intermediary between the user's mobile device and the HVAC/R system components. The gateway device in the system communicates with both the cloud network and local components, mediating control signals and data exchange. This allows users to operate complex HVAC systems remotely through simple mobile device interfaces while the complexity of cloud connectivity is handled by the gateway intermediary.
2Adaptability or versatility
If multiple communication protocols are integrated, then adaptability is improved, but device complexity increases
Solution Approach 1:
The gateway device is designed with multi-functionality to handle multiple communication protocols including Wi-Fi, Bluetooth, and cellular communications simultaneously. This universal gateway can adapt to different communication requirements and connect various HVAC components using different protocols, providing system-wide adaptability without requiring separate specialized devices for each protocol.
3Measurement precision
If real-time data monitoring is implemented, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system implements periodic data collection and transmission cycles rather than continuous real-time monitoring. Sensors periodically measure HVAC component parameters and the gateway transmits aggregated data to the cloud at scheduled intervals. This periodic operation maintains adequate measurement precision for system monitoring while significantly reducing energy consumption compared to continuous real-time data exchange.
Data Source
AI summary
A system for controlling one or more structural appliances, such heating, cooling, and ventilation sensor systems utilizing cloud computing architecture, includes at least one intelligent controller, a local intelligent gateway in communication with the intelligent controller, and a cloud computing network in communication with the local intelligent gateway. A local device is operative to communicate through the cloud computing network to the intelligent controller.