Vehicle Refueling Pattern Analysis Using Real-Time Fuel and GPS Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current refueling pattern analysis methods are inefficient due to data input omissions when paying in cash and inconvenience in registering multiple refueling cards, limiting the development of customized products and services by gas stations and card companies.
Innovation Solution
An apparatus and method that collect real-time engine state, GPS information, and fuel remaining data to analyze customer refueling patterns, using databases to assign tags and segments based on refueling criteria, and provide these insights as an open API for marketing and product development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If customers manually input refueling data or register multiple refueling cards, then refueling pattern analysis can be performed, but data input omissions occur and convenience deteriorates
Solution Approach 1:
The system automatically collects refueling data through the vehicle terminal without requiring customer input. The terminal autonomously receives engine state, GPS information, and fuel remaining data, and the server automatically analyzes refueling patterns, eliminating manual data entry while maintaining high data accuracy.
Solution Approach 2:
The vehicle terminal acts as an intermediary between the refueling process and the analysis system. It automatically captures refueling events by monitoring engine state changes and fuel level data, then transmits this data to the server for pattern analysis, removing the need for direct customer involvement in data collection.
2Adaptability or versatility
If gas stations and card companies collect detailed refueling data, then customized products and services can be developed, but data collection complexity increases
Solution Approach 1:
The vehicle terminal performs multiple functions: it monitors engine state, tracks GPS location, measures fuel remaining levels, and identifies refueling events. This multi-functional approach consolidates data collection from multiple sources into a single system, reducing overall complexity while enabling comprehensive refueling pattern analysis for customized services.
Solution Approach 2:
The system pre-establishes refueling patterns by continuously collecting and analyzing data before specific marketing or service customization is needed. The server stores historical refueling data and pre-computes pattern information, so when customization is required, the analysis is already prepared, reducing the complexity of on-demand data collection.
Data Source
AI summary
An apparatus for analyzing a refueling pattern includes a processor and a storage medium having stored thereon at least one program configured to be executable by the processor. The at least one program includes instructions for executing operations. The operations may include receiving a starting state of an engine, global positioning system (GPS) information, and a remaining amount of fuel transmitted in real time. The operations may also include analyzing a customer refueling pattern based on the starting state of the engine, the GPS information and the remaining amount of fuel.