Vehicle Water Generation Estimation Using Environmental Map Data
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Solution Overview
Problem
Existing vehicle systems face challenges in accurately predicting and communicating water generation capabilities, which vary widely due to environmental conditions.
Innovation Solution
A system that includes a sensing device to detect environmental conditions, a display device to present geographical information, and a controller to estimate water generation based on these conditions and communicate this information effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If water generation prediction is based on environmental conditions, then the accuracy of water generation estimate is improved, but the system complexity increases due to multiple sensing devices and processing requirements
Solution Approach 1:
The system segments the geographical area into multiple regions with different water generation potential, allowing detailed local analysis without requiring a single complex global model. Each region can be evaluated independently based on its specific environmental conditions
Solution Approach 2:
The patent introduces an intermediary processing layer that receives environmental data from multiple sensing devices and translates it into water generation estimates. This intermediary layer simplifies the overall system architecture by centralizing the complex processing logic
2Measurement precision
If detailed environmental sensing is implemented, then water generation prediction accuracy is improved, but the cost of the system increases due to multiple sensors and processing equipment
Solution Approach 1:
The system employs sensing devices that serve multiple functions - detecting various environmental parameters (temperature, humidity, precipitation) that all contribute to water generation estimation. This multi-functionality reduces the need for separate specialized sensors for each parameter
Solution Approach 2:
The patent utilizes changes in environmental parameters (temperature, humidity, precipitation patterns) as indicators of water generation potential. By monitoring natural parameter variations rather than requiring direct measurement of water generation, the system achieves accurate predictions using relatively simple and inexpensive sensing equipment
3Loss of information
If water generation estimates are communicated in detail, then user decision-making is improved, but the complexity of communication and display increases
Solution Approach 1:
The system provides differentiated information quality for different geographical regions, highlighting areas with high water generation potential versus low potential. This local quality approach ensures users receive detailed information where needed while avoiding unnecessary complexity in regions with uniform characteristics
Solution Approach 2:
The patent transforms complex multi-parameter environmental data into a simplified visual representation on a map interface. By adding the spatial dimension to the data presentation, the system communicates water generation estimates across multiple regions simultaneously without requiring complex tabular or textual displays
Data Source
AI summary
A system for a water generation apparatus of a vehicle includes a sensing device that detects an environmental condition of a geographical area associated with the vehicle. A display device is configured to present a depiction of the geographical area. A controller is in communication with the sensing device and the display device. The controller is configured to determine at least one water generation estimate for the water generation apparatus based on the environmental condition and the geographical area. The controller is further configured to generate a modified representation of the geographical area based on the at least one water generation estimate and the depiction of the geographical area. The controller is further configured to communicate an instruction to present the modified representation at the display device.