Smart Home Modeling System for Accurate Building Age Assessment
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Solution Overview
Problem
Conventional building assessment methods are inaccurate and incomplete, failing to provide a true representation of a building's age or health, which can lead to misinformed maintenance and cost estimates.
Innovation Solution
A smart home modeling system that utilizes data from smart devices and user-submitted records to modify baseline age information, generating a 'true age' corrected age model for the building, and providing risk analysis and maintenance notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional building assessment methods using limited physical inspections are used, then inspection cost and time are reduced, but measurement precision and reliability of building age assessment deteriorate
Solution Approach 1:
The patent combines multiple data sources including smart device sensor data, public records, and user-submitted records into a unified building assessment system. This integration of diverse data streams enables more accurate building age determination without requiring complex manual inspection processes, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The system automatically collects and processes building assessment data from various sources including smart devices and public records without requiring manual intervention. This self-service approach improves measurement precision through continuous data collection while avoiding the complexity of manual inspection systems
2Loss of information
If static single-source measurements are used for building health assessment, then data collection simplicity is maintained, but loss of information about true building condition increases
Solution Approach 1:
The assessment system is designed to universally collect and process multiple types of data from diverse sources including smart devices, public records, and user submissions. This multi-functional capability ensures comprehensive building condition information is captured without requiring separate specialized systems for each data type, addressing the contradiction between information completeness and system complexity
Solution Approach 2:
The system introduces an intermediary processing layer that aggregates and harmonizes data from multiple sources including smart sensors and public records. This intermediary mechanism reduces information loss by integrating diverse data streams while managing complexity through centralized data processing rather than multiple separate systems
3Measurement precision
If in-person building inspections by trained professionals are conducted, then measurement precision improves, but loss of time and inspection cost increase
Solution Approach 1:
The system performs preliminary data collection and analysis using automated sensors and public records before any physical inspection is needed. This preliminary action provides initial building assessment data that reduces the need for time-consuming in-person inspections while maintaining measurement precision through continuous automated monitoring
Solution Approach 2:
The patent replaces manual mechanical inspection processes with automated electronic sensor systems and digital data processing. This substitution maintains or improves measurement precision through consistent automated measurements while eliminating the time loss associated with scheduling and conducting manual inspections by professionals
Data Source
AI summary
In one embodiment, a smart home modeling system receives objective data from a public data source. The system modifies baseline age information from the objective data based on indications from service and upgrade records, as well as smart home sensor measurements, to generate a corrected age model for the home. The system determines the effective ages of systems in the home in the corrected age model, and then uses the corrected age model to generate a risk model for the home. Based on the generated risk model, maintenance needs and statuses are re-evaluated. The system provides a virtual dashboard to view results from the smart home model. The dashboard displays alerts about particular systems of the home with elevated risk levels. Additionally, the dashboard generates price information based on the corrected age model and the risk model. The dashboard also notifies a user about service interventions for home systems.