CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. (20240242232). METHODS AND SYSTEMS FOR PROCESSING SMART GAS REGULATORY INFORMATION BASED ON REGULATORY INTERNET OF THINGS simplified abstract
METHODS AND SYSTEMS FOR PROCESSING SMART GAS REGULATORY INFORMATION BASED ON REGULATORY INTERNET OF THINGS
Organization Name
CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor(s)
METHODS AND SYSTEMS FOR PROCESSING SMART GAS REGULATORY INFORMATION BASED ON REGULATORY INTERNET OF THINGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242232 titled 'METHODS AND SYSTEMS FOR PROCESSING SMART GAS REGULATORY INFORMATION BASED ON REGULATORY INTERNET OF THINGS
The patent application describes a method and system for processing smart gas regulatory information using a regulatory Internet of Things (IoT) framework. The method involves obtaining gas regulatory information from multiple regions, identifying target information based on specific regulatory characteristics, updating data accountability levels, identifying redundant and contradictory data, processing target information, and adjusting communication priorities.
- Obtaining gas regulatory information from various regions
- Identifying target information based on specific regulatory characteristics
- Updating data accountability levels for different regions
- Identifying redundant and contradictory data
- Processing target information based on the identified data
- Adjusting communication priorities for sets of communication sub-devices based on data accountability levels
Potential Applications: - Gas companies can use this system to efficiently manage and process regulatory information from different regions. - Regulators can benefit from improved data accuracy and accountability levels in the gas industry.
Problems Solved: - Streamlining the processing of smart gas regulatory information - Enhancing data accuracy and accountability in the gas industry
Benefits: - Improved efficiency in managing regulatory information - Enhanced data accuracy and accountability - Better communication prioritization for sub-devices
Commercial Applications: Title: Smart Gas Regulatory Information Processing System This technology can be applied in the gas industry for regulatory compliance, data management, and communication optimization. It can be used by gas companies, regulatory bodies, and IoT solution providers to streamline operations and improve data accuracy.
Questions about Smart Gas Regulatory Information Processing System: 1. How does this system improve data accuracy in the gas industry? - The system enhances data accuracy by identifying redundant and contradictory data, updating data accountability levels, and processing target information based on specific regulatory characteristics. 2. What are the potential benefits of adjusting communication priorities based on data accountability levels? - Adjusting communication priorities can improve the efficiency of communication within the system, ensuring that critical information is prioritized based on data accuracy and accountability levels.
Original Abstract Submitted
disclosed is a method and a system for processing smart gas regulatory information based on a regulatory internet of things (iot). the method may be executed by a gas company management platform of the system for processing the smart gas regulatory information and may include: obtaining gas regulatory information of a plurality of gas regulatory regions; determining target gas regulatory information from the gas regulatory information based on a target regulatory characteristic; updating data accountability levels of different gas regulatory regions based on the target gas regulatory information; determining redundant data and contradictory data based on the target gas regulatory information and the data accountability levels; obtaining processed target gas regulatory information based on the redundant data and the contradictory data; and adjusting communication priorities of a plurality of sets of communication sub-devices based on the data accountability levels.
