Building Automation System with Context-Driven Device Configuration
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Solution Overview
Problem
Existing building automation systems face challenges in configuring network addresses for devices, leading to human errors, integrity issues, and maintenance difficulties due to reliance on manual processes, which are prone to errors and require trained personnel, especially in environments with high fluctuations and obsolete tools.
Innovation Solution
An automation system that uses contextual and environmental information to autonomously configure network addresses through 'context-driven clustering' and multi-factor authentication, allowing devices to identify their locations and uses based on sensed data and logical reasoning, thereby maintaining configuration integrity and correcting anomalies continuously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration of network addresses is used, then flexibility in device deployment is maintained, but human errors and configuration integrity issues increase
Solution Approach 1:
The system enables devices to automatically configure their own network addresses by sensing environmental information and comparing it with contextual information from the building model, eliminating the need for manual configuration while ensuring accuracy through automated identification and assignment processes
Solution Approach 2:
The system continuously monitors device locations and configurations, comparing sensed environmental data with the building model to detect and correct configuration anomalies, thereby maintaining configuration integrity through ongoing feedback mechanisms
2Measurement precision
If manual configuration processes are used, then trained personnel can ensure initial setup accuracy, but maintenance difficulties arise in environments with high fluctuations
Solution Approach 1:
The system transitions from static manual configuration to dynamic automated configuration that continuously adapts to environmental changes, allowing the system to automatically adjust to device movements and reconfigurations without requiring trained personnel for maintenance
Solution Approach 2:
The automated system performs self-maintenance by continuously monitoring device locations and correcting configuration anomalies without human intervention, eliminating the need for trained personnel to maintain configuration accuracy in dynamic environments
3Reliability
If automated configuration is implemented, then human error is reduced, but system complexity increases
Solution Approach 1:
The system uses a unified building model that serves multiple functions: storing contextual information, enabling device identification, supporting configuration assignment, and facilitating anomaly detection, thereby reducing overall system complexity through multi-functional integration
Solution Approach 2:
The building model acts as an intermediary layer between physical devices and the configuration system, storing contextual information that enables automated identification and configuration while simplifying the interaction between devices and the central system
4Adaptability or versatility
If devices are moved to different locations, then operational flexibility is improved, but configuration integrity problems occur
Solution Approach 1:
The system continuously monitors device locations through environmental sensing and compares them with the building model, automatically detecting location changes and correcting configuration anomalies to maintain integrity despite device mobility
Solution Approach 2:
The configuration system dynamically updates device locations and configurations based on real-time environmental sensing, allowing devices to be moved freely while automatically maintaining configuration integrity through continuous adaptation
Data Source
AI summary
An automation system is provided for deployment in a building with rooms and includes computing resources which are receptive of contextual information and an electronic device cluster in each room. Each electronic device cluster includes electronic devices at least one of which gathers environmental information within the room and at least one of which communicates the environmental information to the computing resources. Descriptors of one or more electronic devices of a portion of the electronic device clusters are undefined at an initial time. The computing resources are configured to compare the contextual and environmental information from at least one electronic device cluster, identify a location and a use of the one or more electronic devices of the portion of the electronic device clusters based on comparison results and assign descriptors to the one or more electronic devices accordingly and communicate with the one or more electronic devices using the descriptors.