Structured Data Transmission Headers for IoT Interoperability
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Solution Overview
Problem
Existing data transmission methods in IoT and Industrial IoT environments face challenges in ensuring robust and universal data interworking due to issues like incomplete, duplicate, and redundant data, which can lead to incorrect analysis and inefficient communication between devices, sensors, and cloud networks.
Innovation Solution
A data transmission method that includes data cleaning through removal of redundancy and noise, compliance checking, and structured data formatting using predefined headers to unify data formats and enable automatic identification and analysis across various devices and platforms, facilitating seamless communication and data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transmitted without cleaning and structuring, then data transmission speed is fast, but data accuracy and reliability deteriorate due to incomplete, duplicate, and redundant data
Solution Approach 1:
The patent applies preliminary action by performing data cleaning and structuring operations before data transmission. The sending device structures the data according to a predefined data model, removing redundancy and organizing the data format in advance. This preliminary processing ensures data accuracy and reliability is improved while the transmission process itself remains efficient, as the structuring work is completed beforehand rather than during transmission.
2Reliability
If data is cleaned and structured using predefined headers, then data transmission accuracy is improved, but data processing time increases
Solution Approach 1:
The patent applies universality by implementing a standardized predefined data model that can be universally applied across different data types and transmission scenarios. The data model includes universal headers and structures that work for various kinds of data, allowing the system to handle diverse data formats through a single unified approach. This reduces the need for multiple specialized processing routines, thereby minimizing processing time while maintaining high transmission accuracy.
3Adaptability or versatility
If data is structured with comprehensive headers for automatic identification, then device compatibility is improved, but data format complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data structure into distinct modular components: headers, data content, and checksum sections. Each header contains specific segmented information such as device identification, data type, and transmission parameters. This segmented approach allows receiving devices to quickly identify and process only the relevant portions of the data structure, improving device compatibility through standardized segmentation while keeping the overall format manageable through its modular nature.
Data Source
AI summary
A method for structuring transmissible data of various types with universal applicability as between devices of various types includes a data content, a first data header, and a second data header. The first data header signifies numerical data or control/command data. The second data header is a description of a data group to which the collected data belongs. The data further can include a third data header configured to describe production process information of the data. The data further can include a fourth data header to describe a product type, an industrial field, a company name, and a company address.