View source for 20240046283. METHODS AND IOT SYSTEMS FOR INDUSTRIAL GAS DEMAND REGULATION BASED ON SMART GAS simplified abstract (CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.)

=METHODS AND IOT SYSTEMS FOR INDUSTRIAL GAS DEMAND REGULATION BASED ON SMART GAS=


==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:Yaqiang Quan of Chengdu (CN)|Yaqiang Quan of Chengdu (CN)]][[Category:Yaqiang Quan of Chengdu (CN)]]

[[:Category:Xiaojun Wei of Chengdu (CN)|Xiaojun Wei of Chengdu (CN)]][[Category:Xiaojun Wei of Chengdu (CN)]]

[[:Category:Feng Wang of Chengdu (CN)|Feng Wang of Chengdu (CN)]][[Category:Feng Wang of Chengdu (CN)]]

==METHODS AND IOT SYSTEMS FOR INDUSTRIAL GAS DEMAND REGULATION BASED ON SMART GAS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240046283 titled 'METHODS AND IOT SYSTEMS FOR INDUSTRIAL GAS DEMAND REGULATION BASED ON SMART GAS

==Simplified Explanation==

The patent application describes a method and system for regulating the demand for industrial gas based on a smart gas system connected to the Internet of Things (IoT). Here is a simplified explanation of the abstract:

* Obtaining gas data and user features: The method involves collecting gas operation data and gas demand data from at least one industrial user. Additionally, user features related to the industrial user are also obtained.

* Determining estimated usage distribution: Based on the collected gas data, user features, and an external feature, the method calculates an estimated usage distribution. This distribution represents the expected gas usage pattern of the industrial user.

* Sending estimated usage distribution for feedback: The estimated usage distribution is sent to a smart gas user platform, where feedback data is obtained from the industrial user. This feedback helps in refining the estimated usage distribution.

* Determining updated usage distribution: Using the feedback data and the estimated usage distribution, an updated usage distribution is determined. This updated distribution represents a more accurate gas usage pattern of the industrial user.

* Determining gas regulation program: Based on the updated usage distribution, a gas regulation program is determined. This program includes parameters such as gas transmission volume and gas storage volume, which help regulate the gas supply between the region where the industrial user is located.

Potential applications of this technology:

* Industrial gas demand regulation: The method and system can be used to efficiently regulate the demand for industrial gas based on the usage patterns of individual users. This can help optimize gas supply and reduce wastage.

* Smart gas user platform: The smart gas user platform can serve as a centralized system for collecting feedback data from industrial users and providing them with information related to their gas usage. This can enable better decision-making and resource management.

Problems solved by this technology:

* Inefficient gas demand regulation: Traditional methods of gas demand regulation may not take into account the specific usage patterns of individual industrial users. This technology solves this problem by providing a more accurate estimation of gas usage and enabling personalized gas regulation programs.

* Lack of real-time feedback: Without a smart gas system and user platform, industrial users may not have access to real-time feedback on their gas usage. This technology solves this problem by providing a mechanism for collecting feedback data and updating the usage distribution accordingly.

Benefits of this technology:

* Improved gas supply optimization: By accurately estimating and regulating the gas demand of industrial users, this technology can help optimize the gas supply and reduce unnecessary wastage.

* Enhanced decision-making: The feedback data obtained from the industrial users can provide valuable insights for better decision-making related to gas usage and resource management.

* Cost savings: By optimizing gas supply and reducing wastage, this technology can potentially lead to cost savings for both the industrial users and gas suppliers.


==Original Abstract Submitted==

a method and an internet of things (iot) system for an industrial gas demand regulation based on a smart gas. the method includes: obtaining gas data and a user feature of at least one industrial user, the gas data including gas operation data and gas demand data of the at least one industrial user; determining, based on the gas data, the user feature, and an external feature, an estimated usage distribution; sending the estimated usage distribution to a smart gas user platform to obtain feedback data from the at least one industrial user; determining, based on the feedback data and the estimated usage distribution, an updated usage distribution; and determining, based on the updated usage distribution, a gas regulation program, the gas regulation program including at least one of a gas transmission volume and a gas storage volume between a region where the at least one industrial user is located.



[[Category:G06Q30/018]]
[[Category:G06Q30/0202]]
[[Category:G06Q50/06]]