Distributed Building Gateway Control for Adaptive Device Onboarding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing building management systems face challenges in efficiently managing and integrating data from diverse building subsystems, particularly in dynamically adapting to new devices and ensuring optimal resource allocation for communication and control operations.
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, with capabilities to identify and adapt to new devices, relocate services based on resource availability, and generate data from collected samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gateway components are deployed on multiple computing systems to facilitate communication with diverse building devices, then the system's adaptability and integration capability improve, but the device complexity and resource management overhead increase
Solution Approach 1:
The gateway component is designed as a universal software service that can be deployed on any computing system within the building. It provides multiple functions including data collection, protocol translation, device registration, and communication facilitation between diverse building subsystems and the cloud platform, eliminating the need for separate specialized components for each device type
Solution Approach 2:
The building management system is segmented into independent modular components: gateway components deployed on individual computing systems, a central orchestrator service, and cloud platform services. Each gateway instance operates independently to manage local devices, reducing overall system complexity while maintaining high adaptability through modular deployment
2Adaptability or versatility
If the system dynamically identifies and adapts to new building devices, then the adaptability improves, but the time and computational resources required for device discovery and configuration increase
Solution Approach 1:
The gateway component performs preliminary actions by continuously monitoring the local network for new devices and maintaining a ready-to-deploy state. When a new device is detected, the gateway already has the necessary communication protocols and configuration templates prepared, enabling rapid device onboarding without extensive manual configuration or discovery time
Solution Approach 2:
The system implements self-service automation where the gateway component automatically detects new building devices, identifies their communication protocols, registers them with the orchestrator service, and configures appropriate data collection parameters without human intervention. This automated self-configuration process significantly reduces device onboarding time while maintaining adaptability
3Measurement precision
If gateway components collect and transmit data samples from all building devices, then the data availability and measurement precision improve, but the energy consumption and communication bandwidth requirements increase
Solution Approach 1:
The gateway component implements selective data collection by identifying and prioritizing critical building devices and parameters that require continuous monitoring. Instead of uniformly collecting data from all devices at maximum frequency, the system adjusts sampling rates and data collection intensity based on device importance and operational conditions, maintaining measurement precision for critical parameters while reducing energy consumption and bandwidth usage for less critical devices
Solution Approach 2:
The system dynamically changes data collection parameters including sampling frequency, data transmission intervals, and measurement resolution based on device type, operational state, and priority level. This adaptive parameter adjustment ensures high measurement precision for critical building management parameters while optimizing energy consumption and network bandwidth utilization by reducing data collection intensity for non-critical devices
4Productivity
If the orchestrator service relocates building services based on resource availability, then the productivity and resource utilization improve, but the system complexity and control overhead increase
Solution Approach 1:
The orchestrator service implements dynamic service relocation capabilities that automatically migrate building management services between different gateway components and computing systems based on real-time resource availability, load conditions, and system state. This dynamic allocation optimizes resource utilization and maintains high productivity while the centralized orchestrator manages the complexity of service migration and coordination
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.