IoT Data Reliability Selection for Vehicle Services

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Solution Overview

Problem

IoT devices interlocked with vehicles often transmit redundant or unreliable data, leading to a decrease in the quality of services provided to drivers and passengers, as existing systems lack efficient methods to differentiate between reliable and unreliable data sources.

Innovation Solution

A method and apparatus that classify and prioritize data from multiple IoT devices based on their reliability, using first classification information about the devices and second classification information about the services required, to select and transmit the most accurate data, thereby preventing redundant data transmission and enhancing service quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data are collected from multiple IoT devices, then the quantity of available data increases, but data redundancy and reliability issues arise

Engineering Contradiction:
Improvequantity of dataVSAvoiddata reliability
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent segments data from multiple IoT devices by classifying them into different groups based on device characteristics, data types, and service requirements. This segmentation allows the system to process and evaluate data from each device independently, applying different reliability assessment criteria to different data segments, thereby resolving the contradiction between data quantity and reliability

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes parameters by introducing classification information (first classification information about devices and second classification information about services) as new dimensions for data evaluation. By transforming raw data into classified and prioritized data with associated reliability scores, the system maintains data quantity while improving reliability through parameter-based differentiation

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If all data from IoT devices are transmitted, then data completeness is improved, but communication efficiency decreases

Engineering Contradiction:
Improvedata completenessVSAvoidcommunication efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent applies preliminary action by performing data classification, reliability determination, and prioritization before data transmission. The system pre-processes data from multiple IoT devices, identifying and selecting high-reliability data sources in advance, which eliminates the need to transmit all raw data and thereby improves communication efficiency while maintaining data completeness

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent extracts only the necessary and high-reliability data from the complete set of IoT device data. By taking out and selecting data based on classification information and reliability scores, the system transmits only essential data, improving communication efficiency without sacrificing data completeness for critical services

Inventive Principle:
Principle #2Taking out (Extraction)

3Adaptability or versatility

If data from all IoT devices are processed, then service coverage is improved, but system complexity increases

Engineering Contradiction:
Improveservice coverageVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the complex processing task by dividing data from multiple IoT devices into classified groups based on device characteristics and service requirements. This segmentation allows the system to apply different processing rules to different data groups, maintaining comprehensive service coverage while reducing overall system complexity through structured organization

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces classification parameters (first classification information and second classification information) that transform the complex, unstructured data processing problem into a parameterized decision-making process. By changing the processing approach from handling raw data directly to evaluating classified data with associated reliability scores, the system achieves broad service coverage with reduced complexity

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10742741B2Method and apparatus for controlling IoT devices interlocked with vehicle
Publication Date: 2020.08.11 HYUNDAI MOTOR CO LTD
  • US10742741B2 patent drawing
  • US10742741B2 patent drawing
  • US10742741B2 patent drawing

AI summary

A method and an apparatus for controlling Internet-of-Things (IoT) devices interlocked with a vehicle are disclosed may include confirming first classification information related to a plurality of IoT devices, confirming second classification information related to at least one service to be provided using the plurality of IoT devices, determining reliability of the plurality of IoT devices corresponding to the first classification information and the second classification information, in the case in which data of the same item are transmitted redundantly from the plurality of IoT devices, selecting a value transmitted from an IoT device selected corresponding to the reliability, and transmitting the selected value to a device that performs the at least one service.