Unified Tire Data Management System for Fleet Analysis

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Solution Overview

Problem

Existing tire management systems lack the ability to efficiently analyze tire data from multiple aspects and perform big-data analysis across various vehicles, leading to independent and uncoordinated management of tire-related data.

Innovation Solution

A method and device for managing tire data by receiving identification information and tire usage data, establishing a mapping relation between them, and integrating tire circulating records, vehicle information, and usage data, allowing for unified querying and analysis of tire information across multiple vehicles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If independent functional modules are used for tire identification, pressure monitoring, temperature monitoring, and tread wear detection, then each function can be implemented independently, but the data from various aspects cannot be analyzed in combination

Engineering Contradiction:
Improveimplementation of independent functionsVSAvoidinability to analyze tire data in combination
Core Design Contradiction:
Ease of manufactureVSLoss of information

Solution Approach 1:

The patent merges independent functional modules (identification, pressure monitoring, temperature monitoring, tread wear detection) into a unified data management system. All modules share a common database and communication interface, allowing data to be collected, stored, and analyzed together while maintaining individual functionality. This resolves the contradiction by enabling both independent implementation and combined analysis.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The data management system is designed with universal functionality to handle multiple types of tire data (identification, pressure, temperature, tread wear) through a single platform. The system can perform various operations including data collection, storage, analysis, and reporting for all tire parameters, eliminating the need for separate analysis systems for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If monitoring data of tires of various vehicles are kept independent, then vehicle-specific data security is maintained, but big-data analysis across vehicles and unified fleet management cannot be performed

Engineering Contradiction:
Improvedata security for individual vehiclesVSAvoidability to perform big-data analysis and unified fleet management
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system segments data management into hierarchical levels: individual vehicle data modules that maintain data security and privacy, and a centralized fleet management module that enables big-data analysis. Each vehicle's data remains protected at its level while being accessible for aggregated analysis at the fleet level, resolving the contradiction between data security and analytical versatility.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements a nested data structure where individual vehicle data modules are contained within a larger fleet management system. Each vehicle module maintains its own data security protocols while being nested within the unified fleet database that enables cross-vehicle analysis. This nested architecture allows simultaneous data protection and big-data utilization.

Inventive Principle:
Principle #7Nested doll (Nesting)

Data Source

PatentUS11423714B2Method and device for managing tire data
Publication Date: 2022.08.23 HAMATON AUTOMOTIVE TECH CO LTD
  • US11423714B2 patent drawing
  • US11423714B2 patent drawing
  • US11423714B2 patent drawing

AI summary

A method and device for managing tire data. The method includes: after receiving a tire identification reported by a data sending module, a data interaction module or a data monitoring module, and tire usage data of a tire corresponding to the tire identification, correspondingly storing the tire usage data and the tire identification so that the corresponding identification information and the tire usage data can be quickly and efficiently found when a user calls these usage data. The unified management of the related data of the tire provides a data support for the big-data analysis of the tire based on these data, and also enables the unified management of multiple tires and multiple vehicles.