Wireless Electricity Monitoring for Home Fire Risk Detection
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Solution Overview
Problem
Conventional homes are prone to electrical fires and damage due to inadequate monitoring of electrical activity, leading to insurance-related issues and potential safety hazards.
Innovation Solution
A wireless Electricity Monitoring (EM) device that senses, detects, and generates data on electricity flow to individual devices within a home, using unique electronic signatures to identify abnormal conditions, allowing for proactive corrective actions to prevent damage and facilitate insurance-related processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional electrical monitoring systems are used, then basic electrical activity detection is achieved, but the system cannot effectively identify abnormal conditions or prevent electrical fires
Solution Approach 1:
The monitoring system segments electrical activity into individual device-level measurements, allowing identification of abnormal conditions at specific devices rather than treating the entire electrical system as a single unit. This enables targeted detection of electrical fires and faults while maintaining manageable system complexity through modular monitoring points.
Solution Approach 2:
The system implements continuous feedback loops that monitor electrical parameters, compare them against safety thresholds, and trigger alerts or corrective actions when abnormalities are detected. This feedback mechanism transforms basic detection into proactive prevention, identifying potential electrical fires before they occur.
2Object-affected harmful factors
If comprehensive electrical monitoring is implemented, then electrical risks are reduced, but installation and operational complexity increases
Solution Approach 1:
The monitoring system is designed to automatically configure itself upon installation, with devices that self-identify and integrate into the monitoring network without requiring complex manual setup. This self-service capability reduces installation complexity while enabling comprehensive electrical risk monitoring across multiple devices.
Solution Approach 2:
The monitoring devices are designed with universal compatibility to work across different electrical systems and device types. This multi-functionality allows a single monitoring platform to comprehensively track electrical risks throughout the entire electrical system without requiring device-specific customization, simplifying both installation and operation.
3Measurement precision
If real-time electricity flow data is collected for all devices, then abnormal conditions can be detected, but data processing and analysis complexity increases
Solution Approach 1:
The system extracts only the critical electrical parameters and anomaly indicators from the full set of collected data, separating essential safety information from redundant details. This extraction approach maintains high detection accuracy for electrical fires and faults while reducing data processing complexity by focusing computational resources on the most relevant measurements.
Solution Approach 2:
The system introduces intermediary processing layers that aggregate and pre-analyze data from multiple devices before presenting it for final evaluation. These intermediaries simplify the overall data processing complexity by handling initial filtering and pattern recognition, allowing the central system to focus on high-level anomaly detection without being overwhelmed by raw data volume.
Data Source
AI summary
Methods and systems for identifying and correcting abnormal electrical activity about a structure are provided. An electricity monitoring device may monitor electrical activity including transmission of electricity via an electrical distribution board to devices about the structure. Electrical activity may be correlated with respective electrical devices to build an electrical profile indicative of the structure's electricity usage. Based on the electrical profile, abnormal electrical activity may be identified and corrective actions may be taken to mitigate or prevent structural damage.