Pipe Burst Detection Using Home Telematics and Smart Mitigation
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Solution Overview
Problem
Homeowners often fail to detect leaks or bursts in pipes due to infrequent checks, leading to extensive damage, especially in less frequently used buildings or during vacations, with conventional methods being inefficient and ineffective.
Innovation Solution
A system utilizing home telematics data and machine learning algorithms to detect pipe leaks or bursts, adjusting smart devices to prevent damage by increasing temperature or stopping water flow, and scheduling repairs when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If homeowners frequently check pipes to detect leaks early, then damage detection reliability improves, but time consumption and operational burden increase
Solution Approach 1:
The system enables automatic self-monitoring of pipe conditions through embedded sensors that continuously detect leaks, temperature changes, and pressure variations without requiring homeowner intervention. The smart device autonomously processes sensor data, identifies potential issues, and triggers alerts or mitigating actions, freeing homeowners from manual inspection while maintaining high detection reliability.
Solution Approach 2:
Manual visual inspection and physical checking of pipes is replaced by an automated electronic monitoring system using sensors, microcontrollers, and communication modules. The mechanical approach of physically examining pipes is substituted with electronic detection methods that continuously monitor pipe health parameters and transmit data remotely.
2Extent of automation
If homeowners manually monitor pipes, then detection capability is maintained, but automation level and response efficiency deteriorate
Solution Approach 1:
The system implements continuous feedback loops where sensors monitor pipe conditions in real-time, the microcontroller processes the data against predefined thresholds, and the system automatically responds by sending alerts to homeowner devices or triggering mitigating actions. This closed-loop feedback mechanism ensures high detection capability while operating autonomously without manual intervention.
Solution Approach 2:
Manual monitoring and decision-making processes are replaced by an automated electronic system that uses sensors to detect conditions, processes data through a microcontroller, and executes responses automatically. The system substitutes human judgment and action with electronic detection and automated control mechanisms.
3Reliability
If smart devices continuously adjust temperature to prevent pipe bursts, then pipe protection reliability improves, but energy consumption increases
Solution Approach 1:
The system performs preliminary detection of freezing conditions using temperature sensors before pipes actually burst. By identifying temperature trends and potential freezing risks in advance, the system can trigger preventive actions such as sending alerts to homeowners or automatically adjusting heating, avoiding the need for continuous high-energy heating while maintaining protection reliability.
Solution Approach 2:
Instead of continuously maintaining high temperature throughout the structure, the system applies heating selectively and partially - only in areas where pipes are located and only when freezing conditions are detected or predicted. This partial action approach reduces overall energy consumption while providing sufficient protection against pipe bursts.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively detects and prevents pipe leaks or bursts by automatically adjusting smart devices, reducing damage through timely interventions.
Implementation Method 1
determining, by the one or more processors and based upon at least the home telematics data and a temperature associated with the structure
Implementation Method 2
causing one or more smart devices in the structure to increase the temperature associated with the structure
Implementation Method 3
causing a water flow through the one or more pipes to stop responsive to the determining that the threshold likelihood of bursting is met
Data Source
AI summary
Systems and methods are described for detecting a leak based upon home telematics data. The method may include: (1) receiving home telematics data associated with a structure; (2) determining, based upon at least the home telematics data and a temperature associated with the structure, that a threshold likelihood of bursting is met for one or more pipes; (3) determining one or more mitigating actions to implement responsive to the threshold likelihood of bursting being met for the one or more pipes; and (4) causing the one or more mitigating actions to be implemented.