Gateway Onboarding Wizard for Automated IoT Asset Modeling
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Solution Overview
Problem
Current building management system (BMS) onboarding processes are manual, time-consuming, and lack consistency, requiring significant effort and resources for system integrators, especially when dealing with large sites, and do not allow for efficient automated tagging and asset modeling across multiple geographical locations.
Innovation Solution
An onboarding wizard that automatically scans networks for devices, points, history, and schedules using metadata information, applies tagging based on a default tag dictionary, and synchronizes asset models with the cloud, allowing for customization and enhancement of tagging and modeling, reducing the need for manual intervention and streamlining the onboarding process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual onboarding processes are used for building management systems, then system integrators can configure each device individually, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The system performs preliminary actions by automatically scanning the network for devices, points, history, alarms, and schedules before manual configuration is needed. The onboarding wizard pre-configures asset models and applies tagging based on metadata information exposed over BACnet drivers, eliminating the need for time-consuming manual device-by-device configuration while maintaining configuration accuracy through user review and adjustment capabilities.
2Productivity
If automated scanning is implemented to discover devices and points, then onboarding time is reduced, but the complexity of the onboarding system increases
Solution Approach 1:
The onboarding wizard enables self-service by automatically scanning networks, discovering devices and points, and configuring asset models without requiring manual intervention for each device. The system applies tagging automatically based on metadata and provides self-configuring capabilities that reduce onboarding speed requirements while maintaining manageable system complexity through standardized processes.
3Stability of the object's composition
If consistent tagging and asset modeling are applied across multiple geographical locations, then standardization is improved, but the initial setup effort increases
Solution Approach 1:
The onboarding wizard provides universal functionality by applying consistent tagging and asset modeling across multiple geographical locations through a single standardized process. The system uses metadata information from BACnet drivers to automatically generate consistent asset models that can be deployed universally across different sites, eliminating the need for separate setup efforts at each location while maintaining tagging consistency through centralized configuration.
Data Source
AI summary
An onboarding wizard that may automatically scan the network for devices, points, history, alarms, and schedules. Automatically, things will get added based on metadata information exposed over the network driver. Users may review the items discovered by an automated process and then remove them if any items are not needed. The wizard may register the cloud connector to cloud IoT for pushing the data. The wizard may also apply tagging for the points and equipment, automatically, based on the tag dictionary. The system may consist of a minimum tagging and asset model creation in the gateway as part of gateway onboarding. This model may be published to a cloud supervisor and get stored in a model store. Once the model is available in the cloud, an asset modelling feature allows a user, with privileges, to enhance the model by adding extra context about points and equipment.