Adaptive Edge Gateway Deployment for Building Device Integration
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Solution Overview
Problem
Building management systems (BMS) face challenges in efficiently managing data from various building subsystems and adapting to new devices, particularly in dynamically reallocating resources and configuring communications across different protocols and platforms.
Innovation Solution
The implementation of gateway components that facilitate communication between cloud platforms and physical building devices, including identifying suitable computing systems, deploying integration components, and managing adapter services to ensure seamless data exchange and device integration, while also dynamically reallocating services based on resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gateway components are deployed to integrate new physical building devices, then device integration capability and data collection efficiency are improved, but system complexity and deployment overhead increase
Solution Approach 1:
The gateway component is designed as a universal integration platform that can handle multiple communication protocols (BACnet, Modbus, OPC UA, MQTT) and support various building subsystems (HVAC, lighting, security) through a single deployable unit. This multi-functional design allows the same gateway component to integrate different device types without requiring protocol-specific gateway instances, thereby improving adaptability while controlling system complexity.
Solution Approach 2:
The gateway component is divided into separable functional modules including protocol adaptation layers, data collection agents, and communication interfaces. This segmentation allows selective deployment of only the required protocol handlers and integration capabilities for each specific building device, reducing the overall complexity while maintaining versatile integration capability.
2Productivity
If computing systems are dynamically identified and selected for service deployment, then resource allocation efficiency is improved, but system coordination overhead and deployment time increase
Solution Approach 1:
The system pre-identifies and catalogs available computing resources within the building infrastructure, storing their capabilities, locations, and status in a resource registry. When a new device requires integration, the gateway component can immediately query this pre-prepared registry and deploy to a suitable computing system without performing time-consuming resource discovery at deployment time, thus improving resource allocation efficiency while minimizing deployment time.
3Adaptability or versatility
If communication protocols are adapted for diverse building devices, then protocol compatibility and device interoperability are improved, but integration complexity and configuration requirements increase
Solution Approach 1:
The gateway component acts as an intermediary layer between diverse building devices and the central BMS platform. It implements protocol adaptation by translating various device protocols (BACnet, Modbus, OPC UA, MQTT) into a standardized internal data format, eliminating the need for direct protocol matching between devices and the BMS. This mediator approach improves protocol compatibility while reducing integration complexity by centralizing protocol handling in the gateway.
4Quantity of substance
If data samples are collected from multiple building subsystems, then data comprehensiveness and monitoring capability are improved, but data management complexity and processing load increase
Solution Approach 1:
The gateway component merges data collection, validation, preprocessing, and transmission functions into a single integrated data management layer. It consolidates data samples from multiple building subsystems (HVAC, lighting, security, access control) through a unified data acquisition mechanism, applying consistent validation rules and preprocessing operations across all data sources. This merging approach improves data comprehensiveness while reducing data management complexity by eliminating redundant processing steps at each subsystem level.
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.