Boiler Temperature Profile Control to Detect Heating Anomalies
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Solution Overview
Problem
Boiler systems face complexity and cost increases due to the need for additional sensors and wiring to detect anomalies like low water levels or pump failures, which can lead to system vulnerabilities and potential damage or injury.
Innovation Solution
A method for controlling boilers by monitoring temperature deviations between the boiler and a heating temperature profile, using existing sensors to shut off the boiler if deviations exceed a set limit, and dynamically modifying the heating temperature profile to prevent nuisance shut-offs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional sensors and wiring are added to detect anomalies like low water levels or pump failures, then safety and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The boiler system uses its existing temperature sensors and control mechanisms to self-monitor for anomalies. Instead of adding dedicated sensors for each anomaly type, the system leverages its inherent temperature measurement capabilities to detect abnormal conditions through deviation from expected heating profiles, making the system self-diagnostic without additional hardware
Solution Approach 2:
The existing temperature sensors serve multiple functions: normal temperature control, anomaly detection, and safety monitoring. The control system universally applies temperature profile analysis to detect various types of anomalies (low water level, pump failure, stuck valves) using the same sensing infrastructure, eliminating the need for specialized sensors for each anomaly type
2Reliability
If additional sensors and wiring are added to detect anomalies, then reliability is improved, but manufacturing cost increases
Solution Approach 1:
The system uses its existing temperature sensors and control mechanisms to self-monitor for anomalies. Instead of adding dedicated sensors for each anomaly type, the system leverages its inherent temperature measurement capabilities to detect abnormal conditions through deviation from expected heating profiles, making the system self-diagnostic without additional hardware
Solution Approach 2:
The system creates a virtual model of expected temperature behavior (heating profile) and compares actual sensor readings against this model. This software-based anomaly detection copies the functionality of dedicated hardware sensors through computational analysis, avoiding additional manufacturing costs for physical sensors and wiring
3Reliability
If temperature monitoring is used to detect anomalies, then safety is improved, but false shutdowns may occur
Solution Approach 1:
The control system continuously monitors temperature deviations and provides feedback to adjust the heating profile dynamically. When anomalies are detected, the system learns from these events and modifies future temperature profiles to account for system variations, reducing false shutdowns while maintaining safety detection capability
Solution Approach 2:
The heating temperature profile is dynamically adjusted based on actual system performance and learned patterns. The system adapts the expected temperature curve in real-time, allowing flexible tolerance boundaries that accommodate normal system variations while still detecting true anomalies, thereby reducing unnecessary shutdowns
Data Source
AI summary
A method for controlling a boiler includes firing a boiler, and monitoring a temperature deviation between a boiler temperature and a heating temperature profile over time. If the temperature deviation exceeds an allowable deviation, the boiler is shut off.