View source for 20240054367. METHODS FOR GRAPH-BASED SMART GAS DATA MANAGEMENT AND INTERNET OF THINGS (IOT) SYSTEMS simplified abstract (CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.)

=METHODS FOR GRAPH-BASED SMART GAS DATA MANAGEMENT AND INTERNET OF THINGS (IOT) SYSTEMS=


==Organization Name==

[[:Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.|CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]


[[Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]

==Inventor(s)==

[[:Category:Zehua Shao of Chengdu (CN)|Zehua Shao of Chengdu (CN)]][[Category:Zehua Shao of Chengdu (CN)]]

[[:Category:Junyan Zhou of Chengdu (CN)|Junyan Zhou of Chengdu (CN)]][[Category:Junyan Zhou of Chengdu (CN)]]

[[:Category:Bin Liu of Chengdu (CN)|Bin Liu of Chengdu (CN)]][[Category:Bin Liu of Chengdu (CN)]]

==METHODS FOR GRAPH-BASED SMART GAS DATA MANAGEMENT AND INTERNET OF THINGS (IOT) SYSTEMS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240054367 titled 'METHODS FOR GRAPH-BASED SMART GAS DATA MANAGEMENT AND INTERNET OF THINGS (IOT) SYSTEMS

==Simplified Explanation==

The abstract describes a method for graph-based smart gas data management in an Internet of Things system. The method involves obtaining gas data and source characteristics from a knowledge graph, dividing the gas data into sub-gas data sets based on source characteristics, determining processing priority of the sub-gas data based on data anomaly and completeness, allocating computing resources and processing strategy based on processing priority, and applying processing algorithms such as data normalization, outlier detection, and data quality analysis.

* Gas data and source characteristics are obtained from a knowledge graph.
* Gas data is divided into sub-gas data sets based on source characteristics.
* Processing priority of sub-gas data is determined based on data anomaly and completeness.
* Resource allocation and processing strategy are determined based on processing priority.
* Processing algorithms such as data normalization, outlier detection, and data quality analysis are applied.

### Potential Applications
- Smart gas metering systems
- Energy management systems
- Industrial process monitoring

### Problems Solved
- Efficient management of gas data
- Prioritization of data processing
- Resource allocation optimization

### Benefits
- Improved data processing efficiency
- Enhanced data quality and anomaly detection
- Optimal resource utilization


==Original Abstract Submitted==

embodiments of the present disclosure provide a method for graph-based smart gas data management and an internet of things system. the method includes: obtaining gas data and source characteristics corresponding to the gas data from a predetermined knowledge graph; dividing the gas data based on the source characteristics to determine one or more sets of sub-gas data; determining a processing priority of the sub-gas data based on at least one of a degree of data anomaly and a degree of data completeness of the sub-gas data; determining a resource allocation strategy for computing resources and a processing strategy for the sub-gas data based on the processing priority of the one or more sets of sub-gas data; the processing strategy including a processing algorithm and the computing resources; and the processing algorithm including at least one of a data normalization algorithm, an outlier detection algorithm, and a data quality analysis algorithm.



[[Category:G06N5/04]]
[[Category:G06N5/022]]