Adaptive Gateway Configuration for Building Device Cloud 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 configuring communication protocols and relocating services based on resource availability and requirements.
Innovation Solution
The implementation of a building management system with a gateway component that facilitates communication between physical building devices and a cloud platform, deploys integration components for communication protocols, and relocates services to ensure optimal resource utilization and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional BMS architecture is used with fixed gateway configuration, then system stability is maintained, but adaptability to new devices and dynamic reconfiguration is poor
Solution Approach 1:
The gateway configuration is transformed from a static, pre-defined state to a dynamic, runtime-configurable state. The system allows gateways to be added, removed, or modified during operation without requiring system shutdown or complex manual reconfiguration. The configuration manager enables dynamic updates to gateway parameters, device associations, and communication protocols based on real-time building needs and device additions.
Solution Approach 2:
The system implements self-service capabilities through automated device discovery and configuration. When new building devices are detected, the system automatically discovers them, determines appropriate gateway assignments, and configures communication parameters without requiring manual intervention. The configuration manager autonomously handles gateway provisioning and device-gateway association based on predefined policies and device characteristics.
2Productivity
If manual configuration of communication protocols is used, then integration precision is achieved, but time consumption increases
Solution Approach 1:
Communication protocol configurations and gateway templates are prepared in advance and stored in the configuration manager. Device profiles with pre-configured protocol parameters, data point associations, and gateway compatibility information are maintained in a device library. When devices are added to the system, these pre-prepared configurations are automatically applied, eliminating the need for time-consuming manual setup while ensuring integration precision.
Solution Approach 2:
The system implements automated feedback mechanisms where the configuration manager continuously monitors device status, communication quality, and system performance. Based on this feedback, the system automatically adjusts gateway configurations, optimizes data collection parameters, and reconfigures communication protocols to maintain high productivity while adapting to changing conditions without manual intervention.
3Reliability
If services are fixed to specific building devices, then system stability is maintained, but resource utilization efficiency decreases
Solution Approach 1:
Building devices are designed with multi-functionality to host multiple services and handle various data collection tasks. Gateways can serve multiple devices and multiple building subsystems simultaneously. The system allows services to be dynamically assigned to different devices based on resource availability, device capabilities, and operational requirements, enabling a single device to fulfill multiple roles and improving overall resource utilization while maintaining system stability through standardized service interfaces.
Solution Approach 2:
The service-device assignment is transformed from a static, one-to-one mapping to a dynamic, many-to-many relationship. Services can be migrated between devices based on real-time resource conditions, device performance, and building operational needs. The configuration manager enables dynamic service relocation and load balancing, allowing the system to optimize resource utilization while maintaining service continuity and stability through controlled service migration mechanisms.
4Measurement precision
If comprehensive device monitoring is implemented, then measurement precision is improved, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into modular components: device-level agents for data collection, gateway-level protocols for data transmission, and configuration-manager-level functions for data processing and storage. Each segment handles specific monitoring tasks independently, reducing overall system complexity while enabling comprehensive monitoring. The segmentation allows precise measurement at each level without requiring the entire system to be complex, as each module focuses on its specific measurement and data handling responsibilities.
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.