18372366. DETERMINING OPTIMAL WATER SENSOR PLACEMENT USING MACHINE LEARNING simplified abstract (STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY)
Contents
DETERMINING OPTIMAL WATER SENSOR PLACEMENT USING MACHINE LEARNING
Organization Name
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Inventor(s)
Sean Kingsbury of Bloomington IL (US)
DETERMINING OPTIMAL WATER SENSOR PLACEMENT USING MACHINE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18372366 titled 'DETERMINING OPTIMAL WATER SENSOR PLACEMENT USING MACHINE LEARNING
Simplified Explanation: The patent application discusses using machine learning to determine the best location to place water sensors near a structure to detect potential sources of water damage.
- Machine learning model analyzes structure information to suggest optimal placement of water sensors.
- Water sensors are strategically placed near the structure to identify potential water damage sources.
- User devices receive recommendations on where to place water sensors for maximum effectiveness.
Key Features and Innovation:
- Utilization of machine learning to optimize placement of water sensors near structures.
- Identification of potential water damage sources through strategic sensor placement.
- User-friendly recommendations for water sensor placement provided to user devices.
Potential Applications: This technology can be applied in various industries such as construction, real estate, and property management to prevent water damage and improve structural integrity.
Problems Solved:
- Efficient detection of potential water damage sources near structures.
- Enhanced protection against water-related structural issues.
- Simplified process of determining optimal water sensor placement.
Benefits:
- Early detection of water damage risks.
- Improved maintenance of structures.
- Cost-effective prevention of water-related issues.
Commercial Applications: Title: "Optimal Water Sensor Placement Technology for Structural Protection" This technology can be used by construction companies, property developers, and building maintenance services to enhance structural safety and reduce maintenance costs.
Questions about Water Sensor Placement Technology: 1. How does machine learning improve the placement of water sensors near structures? 2. What are the benefits of strategically positioning water sensors to detect potential water damage sources?
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for optimizing water sensor placement near structures to enhance structural safety and prevent water damage.
Original Abstract Submitted
Systems and methods disclosed herein relate to determining optimal placement location of one or more water sensors proximate a structure using machine learning. The machine learning model may be provided structure information for a structure at which the water sensors are to be placed, and generate an indication of the optimal placement location of the one or more water sensors proximate the structure. The optimal placement location of the water sensors may correspond to potential sources of water damage. A user device may receive the indication of the optimal placement location of the one or more water sensors proximate the structure to a user device.
