Cloud based building automation systems
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Solution Overview
Problem
Existing HVAC control systems face inefficiencies due to the uniqueness of each building and changing environmental conditions, requiring tedious and time-consuming onsite modifications of control algorithms to maintain optimal energy efficiency.
Innovation Solution
A cloud-based control system with onsite and offsite components, allowing remote updates and monitoring of control algorithms, utilizing wireless communication and artificial intelligence to adapt to building-specific conditions and minimize energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If control algorithms are modified onsite to optimize HVAC operation for each building, then the system adapts to building-specific conditions, but the modification process becomes tedious and time-consuming
Solution Approach 1:
The patent creates a centralized cloud-based platform that stores master copies of control algorithms. These algorithms can be copied and deployed to multiple buildings simultaneously, eliminating the need for manual onsite modification while maintaining building-specific optimization through parameter customization.
Solution Approach 2:
The patent introduces a cloud-based intermediary platform that mediates between algorithm developers and building operators. This intermediary enables remote algorithm deployment and automated building performance monitoring, replacing time-consuming onsite modification processes with automated digital interactions.
2Reliability
If control algorithms are modified onsite with extended monitoring, then the effectiveness of modifications can be determined, but the process requires substantial time and resources
Solution Approach 1:
The patent implements automated feedback loops that continuously monitor building performance metrics and compare them against expected outcomes. This real-time feedback system automatically determines modification effectiveness without requiring extended manual monitoring periods, providing rapid validation of algorithm performance.
Solution Approach 2:
The patent replaces manual onsite monitoring and evaluation processes with automated digital monitoring systems. Sensors and software automatically collect and analyze performance data, substituting human time and effort with automated computational analysis that provides rapid reliability assessment.
3Loss of energy
If control algorithms are optimized for each building, then energy efficiency is maximized, but the implementation process becomes complex and tedious
Solution Approach 1:
The patent creates a universal cloud-based platform that handles multiple functions including algorithm development, storage, deployment, and performance monitoring. This multi-functional system simplifies implementation complexity by consolidating what would otherwise be separate complex processes into a single integrated platform accessible by building operators.
Solution Approach 2:
The patent enables building operators to access and deploy optimized control algorithms independently through the cloud platform without requiring complex onsite implementation processes. The system automatically handles algorithm customization and deployment, allowing buildings to self-serve their energy optimization needs without external technical assistance.
Data Source
AI summary
A control system for operating the HVAC systems within a building to control the environmental conditions within a building having an onsite component networked to a remote offsite component. The onsite component monitors the conditions within the building and operates the HVAC systems, while the offsite component can be used by the system provider to communicate updates to the onsite component and monitor the effectiveness of the control algorithms used to operate the HVAC systems. The invention includes the method of providing tailored HVAC related controls, reports, notices and diagnostic services to a client under various subscription plans.