Adaptive Edge Gateway Deployment for Building Device Integration
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Solution Overview
Problem
Existing building management systems face challenges in efficiently managing and integrating data from various building devices and systems, particularly in dynamically adapting to new devices and optimizing resource allocation across computing systems.
Innovation Solution
A building management system that utilizes gateway components deployed on storage devices to facilitate communication between physical building devices, a cloud platform, and network engines, enabling dynamic adaptation to new devices, resource optimization, and efficient data management through integration components and adapter services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gateway components are deployed on local computing systems to enable dynamic adaptation to new building devices, then adaptability is improved, but device complexity increases
Solution Approach 1:
The gateway functionality is segmented into deployable components that can be independently instantiated on different computing systems within the building. Each gateway component handles specific device communication tasks, allowing the system to adapt to new devices by deploying appropriate gateway instances rather than redesigning the entire system.
Solution Approach 2:
The gateway components are designed as universal, multi-functional units that can communicate with various types of building devices through different protocols. A single gateway component can handle multiple device types and communication standards, reducing the need for device-specific infrastructure and lowering overall system complexity.
2Ease of operation
If gateway components are deployed on local computing systems to enable seamless data integration, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The gateway components automatically perform device discovery, configuration, and data integration tasks without requiring manual intervention. When a new building device is connected, the gateway component autonomously detects it, retrieves its communication protocol requirements, and configures appropriate integration, thereby improving ease of operation while keeping the system manageable.
Solution Approach 2:
The system pre-configures gateway components with knowledge of various building device protocols and communication standards. This preliminary preparation allows the gateway to quickly adapt to new devices upon arrival, eliminating the need for complex manual configuration and simplifying operation.
3Productivity
If gateway components are deployed on local servers to enable efficient data management, then productivity is improved, but device complexity increases
Solution Approach 1:
The gateway components introduce a new architectural dimension by operating as intermediate software layers between building devices and central management systems. This dimensional addition enables efficient local data processing, filtering, and preprocessing, improving data management productivity without requiring complex centralized infrastructure.
Data Source
AI summary
Systems and methods for building management utilizing adaptive edge processing are disclosed. The building system can store gateway components on storage devices. The gateway components can facilitate communication with a cloud platform and facilitate communication with a physical building device. The building system can identify a computing system of the building that is in communication with the physical building device. The physical building device can store one or more data samples. The building system can deploy the gateway components to the computing system responsive to identifying that the computing system is in communication with the physical building device. The gateway components can cause the computing system to communicate with the physical building device to receive the one or more data samples and cause the computing system to communicate the one or more data samples to the cloud platform.