Smart Gas Data Classification for Reliable IoT Storage
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Solution Overview
Problem
Current methods for gas data management in the smart gas industry do not effectively evaluate the timeliness and completeness of gas data, leading to inefficient data storage and processing challenges.
Innovation Solution
A method for smart gas data management that involves an IoT system with a smart gas management platform to obtain, evaluate, and store raw gas data based on time reliability and data reliability, using a comprehensive evaluation framework to determine optimal storage instructions for gas transportation, pipeline, and equipment data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive multi-dimensional evaluation of gas data is implemented, then data quality assessment capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the data quality evaluation into two distinct dimensions: time reliability evaluation and data completeness evaluation. Each dimension is assessed independently through specific indicators (e.g., data upload time for time reliability, data field completeness for data completeness), allowing the complex evaluation task to be divided into manageable, modular components that can be processed separately and then integrated.
2Productivity
If data is stored without reliability evaluation, then storage speed is improved, but data management reliability deteriorates
Solution Approach 1:
The patent implements preliminary action by conducting reliability and completeness evaluations on gas data before the storage operation. The system assesses time reliability and data completeness metrics, generates a quality evaluation result, and only then proceeds to store the data. This pre-evaluation mechanism ensures that data management reliability is maintained without significantly impacting storage speed, as the evaluation is performed as a prerequisite step rather than during the storage process itself.
3Ease of manufacture
If all gas data is stored uniformly, then storage simplicity is improved, but data retrieval efficiency deteriorates
Solution Approach 1:
The patent applies local quality by differentiating data storage based on evaluation results. Instead of uniform storage, the system categorizes data into different storage areas according to their time reliability and completeness metrics. High-quality data with excellent time reliability and completeness is stored in priority storage areas for fast retrieval, while lower-quality data is stored in standard areas. This localized differentiation optimizes retrieval efficiency for critical data without significantly complicating the overall storage architecture.
Data Source
AI summary
Embodiments of the present disclosure provide a method, an Internet of Things system, and a storage medium for smart gas data management. The method includes: obtaining at least one type of raw gas data uploaded by at least one platform in the IoT system, wherein the raw gas data includes at least one of gas transportation data, gas pipeline data, and gas equipment data; evaluating a time reliability and a data reliability of the at least one type of the raw gas data; and generating at least one storage instruction based on the time reliability and the data reliability of the at least one type of the raw gas data to store the raw gas data in a corresponding data storage area.