Drone-Based Sensor Mapping for Clear Property Monitoring Labels
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Solution Overview
Problem
Existing methods for labeling and mapping sensors in property monitoring systems are time-consuming, labor-intensive, and often result in generic or unclear labels, making it difficult for users to understand sensor functionality and relationships.
Innovation Solution
The use of a drone or robotic device to navigate a property and automatically map specific labels to sensors, creating a multi-dimensional model that includes the location and type of each sensor, enabling accurate and descriptive labeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual labeling and mapping methods are used for sensors, then users can obtain sensor information, but the process is time-consuming and labor-intensive
Solution Approach 1:
The system enables automated self-mapping of sensors by having the sensor device autonomously determine its own location within the floor plan and generate its own label, eliminating the need for manual intervention in the labeling and mapping process
Solution Approach 2:
The patent replaces manual mechanical labeling processes with automated electronic systems that use sensor data, floor plan data, and algorithmic processing to automatically generate and assign labels to sensors based on their detected locations
2Loss of information
If manual labeling methods are used, then sensor information can be recorded, but the labels are generic or unclear making it difficult for users to understand sensor functionality
Solution Approach 1:
The system uses feedback from sensor data, floor plan spatial relationships, and user interactions to continuously refine and improve label accuracy, ensuring labels clearly reflect actual sensor functionality and location
Solution Approach 2:
The system performs preliminary analysis of sensor data and floor plan information before generating labels, pre-processing the information to create accurate, context-aware labels that clearly indicate sensor functionality and location
3Productivity
If automated drone-based mapping is implemented, then sensor labeling efficiency is improved, but device complexity increases
Solution Approach 1:
The sensor device performs multiple functions including sensing, location determination, data communication, and self-labeling within a single integrated system, eliminating the need for separate drone hardware and reducing overall system complexity
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for performing automated mapping of sensors at a location of a property. A monitoring server of a system for monitoring a property obtains mapping information that indicates navigable areas at the property. A drone that communicates with the monitoring server is used to navigate the property. In response to the drone navigating the property, sensors and their respective location at each navigable areas are identified based on the mapping information. The monitoring server associates sensors at each area with a corresponding location of the sensor in a data model of the property. Labels descriptive of the respective sensors are generated based on the location of the identified sensors. The monitoring server determines a mapping of a label to a respective sensor associated with the data model of the property.