Smart Home Mapping System for Equipment Location Accuracy
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Solution Overview
Problem
Current home automation and security systems face challenges in accurately capturing and communicating the location of equipment within a property, leading to difficulties in installation, maintenance, and communication between stakeholders during alarm events.
Innovation Solution
A system and method for creating a detailed electronic map of a living space using a handheld device and computer-aided design, which includes measuring the exterior and interior boundaries, locating barriers like doors and windows, and generating recommendations for automation and security features, enhancing communication and control through precise location identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed electronic mapping is implemented to accurately capture equipment locations, then measurement precision and information accuracy improve, but device complexity and implementation time increase
Solution Approach 1:
The handheld device serves multiple functions: it captures boundary measurements, locates barriers (doors/windows), identifies equipment positions, and generates the electronic map all through a single integrated system. This multi-functionality approach resolves the contradiction by consolidating what would otherwise require multiple specialized devices into one universal tool, improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The system creates a digital copy (electronic map) of the physical living space, including precise locations of boundaries, barriers, and equipment. This digital representation accurately captures spatial information without requiring physical markers or complex physical infrastructure, thereby improving location accuracy while keeping the implementation relatively simple
2Loss of information
If comprehensive electronic mapping with 3D information is created, then information completeness about the living space improves, but the time and resources required for data collection increase
Solution Approach 1:
The system performs preliminary actions by automatically capturing and storing boundary measurements, barrier locations, and equipment positions during the initial mapping process. This preliminary data collection establishes a comprehensive foundation that prevents information gaps later, while the automated nature of the process minimizes the time investment required
Solution Approach 2:
The system merges multiple data collection tasks (boundary measurement, barrier location, equipment positioning) into a single integrated workflow. By combining these activities that would traditionally require separate processes, the system achieves complete information capture about the living space without proportionally increasing the time required
3Adaptability or versatility
If precise location identification of barriers and equipment is implemented, then automation and security feature recommendations improve, but system complexity and processing requirements increase
Solution Approach 1:
The system uses feedback by analyzing the collected spatial data (boundary measurements, barrier locations, equipment positions) to generate informed recommendations for automation and security features. The precise location information feeds into the recommendation engine, which processes this data to suggest optimal feature placements and configurations, thereby improving adaptability while keeping processing requirements manageable through focused analysis
Data Source
AI summary
Methods and systems are described for mapping a living space. An example computer-implemented method for mapping a living space includes receiving information about an exterior perimeter of the living space, receiving information about a plurality of interior boundaries of the living space, receiving information about a location for each of a plurality of barriers of the living space, and generating an electronic map of the living space using the information about the exterior perimeter, the plurality of interior boundaries, and the location of each of the plurality of barriers.