Dynamic Water Map Generation Using Crowd-Sourced Sensor Data
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Solution Overview
Problem
Current water-based maps are static and outdated, failing to represent the changing conditions of waterways, such as depth and wildlife activity, which are crucial for navigation and safety.
Innovation Solution
A system and method utilizing crowd-sourced data from navigation devices to generate dynamic maps of water bodies, including depth charts, heat maps of activity conditions, wildlife, and amenities, using sensors and an application server to collect and process real-time location and value points, adjusting depth charts based on changing conditions and displaying relevant information to boaters and merchants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static hardcopy maps are used to represent water boundaries and depths, then map production is simple and成本低, but the maps become outdated and do not reflect changing water conditions
Solution Approach 1:
The patent transforms static maps into dynamic, continuously updating digital maps that reflect real-time water conditions. The system automatically updates map data based on changing water levels, depths, and conditions, ensuring reliability without requiring manual reprinting or distribution of new hardcopy maps.
Solution Approach 2:
The system implements feedback loops where water condition data from various sources (sensors, user reports, satellite imagery) continuously feeds into the map generation system. This feedback mechanism ensures maps remain accurate and current by automatically incorporating new information about water boundaries, depths, and conditions.
2Measurement precision
If crowd-sourced data from multiple navigation devices is collected and processed in real-time, then map accuracy and currency are improved, but data processing complexity and computational requirements increase
Solution Approach 1:
The patent creates a universal platform that handles multiple data types (water depth, temperature, wildlife sightings, user navigation data) through a single integrated system. This multi-functional approach consolidates what would otherwise require separate processing systems, managing complexity while maintaining high measurement precision through standardized data collection and processing protocols.
3Reliability
If real-time updates of water conditions are implemented, then navigation safety is improved, but data collection and transmission requirements increase
Solution Approach 1:
The system enables navigation devices to automatically contribute their location and sensor data without requiring active user intervention or high energy consumption. Devices self-service by continuously broadcasting their position and environmental sensor readings, which are then collected by the central system, reducing the energy burden on individual devices while maintaining real-time safety information.
Data Source
AI summary
Methods and system for creating dynamic maps are disclosed. A system for map creation for bodies of water may comprise an application server associated with a plurality of navigation devices, wherein the application server is configured to: (a) receive data from said plurality of navigation devices, the data including water-site information, time, and location; (b) perform statistical analysis on the data received by said plurality of devices; (c) determine the existence of bodies of water based at least on the statistical analysis; and (d) generate a dynamic map including one or more of water depth charts and heat maps based at least on the statistical analysis.