Signal Management System for Building Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing signal management systems in large networks, such as building systems, face inefficiencies in processing and prioritizing millions of event signals daily, with limited configurability and flexibility, leading to ineffective handling of alarms and urgent signals.
Innovation Solution
A flexible signal management system that uses disjunctive filter statements and rule-based processing to handle alarms by matching signal attributes against generic filters and rules, allowing for real-time evaluation and efficient processing of signals without requiring extensive pre-configuration or modification of the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If predefined evaluation methods are used to handle event signals, then signal processing can be automated, but the system lacks flexibility and configurability for different signal types and priorities
Solution Approach 1:
The system uses dynamic rule-based evaluation where handlers can be assigned different priorities and processing instructions based on signal characteristics. The evaluation method adapts automatically based on signal type, source, and configured rules, allowing the same automated system to handle diverse signal requirements without manual reconfiguration.
Solution Approach 2:
The system changes processing parameters dynamically by assigning different handler priorities, processing orders, and evaluation criteria based on signal attributes. Handlers can be configured with different priority levels and processing instructions, allowing the automated system to adjust its behavior based on the specific signal being processed.
2Manufacturing precision
If complex queries and filters are used to manage signal diversity, then signal handling precision improves, but the system becomes overly technical and difficult to operate
Solution Approach 1:
The system uses simplified rule templates and handler configurations that replicate effective signal processing patterns without requiring users to create complex queries from scratch. Handlers can be configured using standardized templates that automatically generate the necessary filtering and routing logic, making precise signal handling accessible to non-technical users.
Solution Approach 2:
The system segments signal processing into discrete, manageable handlers that can be independently configured and assigned. Each handler deals with specific signal types or priority levels, allowing users to manage complexity by working with individual, well-defined processing units rather than a monolithic complex query system.
3Adaptability or versatility
If manual configuration of signal handling is used, then flexibility is achieved, but maintenance burden and time consumption increase significantly
Solution Approach 1:
The system performs self-configuration by automatically assigning handlers to signals based on predefined rules and signal characteristics. The evaluation system automatically determines which handlers should process which signals based on signal type, source, and configured priorities, eliminating the need for manual configuration and reducing maintenance time while maintaining flexibility.
Solution Approach 2:
The system pre-configures handler priorities, processing instructions, and evaluation criteria before signals arrive. This preliminary configuration allows the system to automatically and efficiently process signals without requiring manual intervention during operation, reducing maintenance time while preserving adaptability through pre-established flexible rules.
4Adaptability or versatility
If extensive pre-configuration is required for signal management, then system functionality is comprehensive, but device complexity and setup difficulty increase
Solution Approach 1:
The system uses universal handler templates and standardized processing rules that can be applied across multiple signal types and scenarios. A single handler framework can manage diverse signal processing requirements through configurable priorities and instructions, providing comprehensive functionality without requiring separate complex configurations for each signal type.
Data Source
AI summary
A system and approach for efficient algorithmic signal management for buildings. When a set of signals is received, attributes of the signals may be extracted from a database. The attributes of the signals may be matched against the rule conditions in the database. The matches may be compared to the rules to find the rules which have all of the conditions satisfied. These rules may be executed to modify the further processing of the signals. A signal for instance may be an alarm.