Adaptive Edge Gateway Deployment for Building Device Integration
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Solution Overview
Problem
Existing building management systems (BMS) face challenges in efficiently collecting and processing data from various building subsystems, particularly in adapting to new devices and ensuring optimal resource allocation for building services.
Innovation Solution
The implementation of a building management system with adaptive edge processing, which includes deploying gateway components on computing systems to facilitate communication between physical building devices, a cloud platform, and a network engine. These gateway components manage data collection, protocol integration, and service deployment dynamically, ensuring seamless interaction with new devices and optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gateway components are deployed on computing systems to facilitate communication with physical building devices, then adaptability to new devices is improved, but device complexity increases
Solution Approach 1:
The gateway component acts as an intermediary between the cloud platform and physical building devices. It dynamically discovers new devices, identifies their communication protocols, and establishes connections without requiring changes to the core BMS architecture. This mediator approach enables adaptability while isolating complexity within the gateway layer.
Solution Approach 2:
The gateway component implements dynamic device discovery and protocol identification mechanisms. When new physical building devices are connected, the gateway automatically detects them, identifies their communication protocols, and configures appropriate integration components. This dynamic adaptation resolves the contradiction by making the system flexible without permanent structural complexity.
2Productivity
If gateway components dynamically manage data collection and service deployment, then productivity is improved, but device complexity increases
Solution Approach 1:
The gateway component implements self-service mechanisms for device discovery, protocol identification, and integration component deployment. It autonomously manages the collection of data points from physical building devices, dynamically configures communication protocols, and coordinates with the cloud platform without requiring manual intervention. This automation improves productivity while containing complexity within the gateway's self-managing functions.
Solution Approach 2:
The gateway component performs preliminary actions by pre-identifying communication protocols and preparing integration components before actual data collection begins. When physical building devices are detected, the gateway proactively discovers their protocols and configures appropriate integration mechanisms in advance, enabling efficient data collection without ad-hoc complexity during operation.
3Adaptability or versatility
If integration components are deployed for multiple communication protocols, then adaptability is improved, but loss of information increases due to protocol compatibility issues
Solution Approach 1:
The gateway component implements protocol-specific integration components that are tailored to each communication protocol's unique requirements. Rather than using a generic communication layer, the gateway deploys specialized components for each protocol (e.g., BACnet, Modbus, MQTT) that preserve the specific data structures, encoding formats, and communication patterns of each protocol, thereby maintaining data integrity while supporting multiple protocols.
Solution Approach 2:
The gateway dynamically adjusts communication parameters based on the identified protocol. When a new physical building device is detected, the gateway identifies its communication protocol and modifies transmission parameters, data formats, and communication patterns to match the specific protocol requirements. This parameter adaptation ensures accurate data transmission across different protocols without information loss.
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.


