# US 12,120,184 B2 · Methods, internet of things systems and mediums for controlling data transmission for smart gas

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- Number: US 12,120,184 B2
- Document ID: US12120184B2
- Status: Granted
- Kind: B2
- Application number: 18/414,427
- Filed: 2024-01-16
- Published: 2024-05-09
- Granted: 2024-10-15
- Earliest claimed: 2023-12-27
- Assignees: Chengdu Qinchuan Iot Technology Co., Ltd.
- Applicants: Chengdu Qinchuan Iot Technology Co., Ltd.
- Inventors: Zehua Shao; Junyan Zhou; Xiaojun Wei; Lei He; Quan Wang
- Web page: https://patentgrep.com/patent/US12120184B2

## CPC

- H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- G06Q 50/06: Energy or water supply
- G16Y 10/35: Utilities, e.g. electricity, gas or water
- G16Y 20/30: relating to resources, e.g. consumed power
- G16Y 40/20: Analytics; Diagnosis
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G16Y: INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]

## Abstract

The present disclosure provides a method comprising obtaining gas data of a gas user continuously, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period from the storage unit; determining an upload demand degree of the gas data based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to a smart gas management platform based on a smart gas object platform at a target upload time point of a smart gas meter of the gas user.

## Claims

### Claim 1

A method for controlling data transmission for smart gas, wherein the method is performed by an Internet of Things (IOT) system for controlling data transmission for smart gas, the method comprising:
obtaining gas data of a gas user continuously, and storing the gas data into a storage unit;
predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit;
in response to the probability of full storage meeting a preset probability condition:
obtaining the gas data of the gas user within the preset time period from the storage unit;
determining an upload demand degree of the gas data based on the gas data; and
in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to a smart gas management platform based on a smart gas object platform at a target upload time point of a smart gas meter of the gas user, wherein the target upload time point is a next most recent upload time point in a set of upload time points of the smart gas meter,
obtaining, by the smart gas management platform, uploaded data of at least one smart gas meter at a preset cycle periodically, and determining the set of upload time points of the at least one smart gas meter based on the uploaded data and sending the set of upload time points of the at least one smart gas meter to the smart gas meter, including:
generating a plurality of candidate combinations, one of the plurality of candidate combinations including a set of candidate upload time points of the at least one smart gas meter;
for one of the plurality of candidate combinations, determining an adaptability value of the candidate combination based on the candidate combination and the uploaded data, the adaptability value being determined based on a predicted congestion degree and a predicted demand matching degree; and
determining the set of upload time points of the at least one smart gas meter based on the adaptability value, wherein
the preset cycle is related to a difference between an actual congestion degree and a predicted congestion degree, and a difference between an actual demand matching degree and a predicted demand matching degree in a most recent cycle.

### Claim 2 (depends on 1)

The method of claim 1, wherein the determining an upload demand degree of the gas data based on the gas data includes:
determining a feature of data to be uploaded and a feature of gas usage behavior of the gas user based on the gas data within the preset time period; and
determining the upload demand degree based on the feature of data to be uploaded and the feature of gas usage behavior.

### Claim 3 (depends on 2)

The method of claim 2, wherein the upload demand degree is negatively correlated to a historical gas usage frequency of the gas user.

### Claim 4 (depends on 1)

The method of claim 1, wherein the smart gas management platform includes a smart gas data center, and the preset cycle is determined by a process including:
determining the preset cycle based on a current data processing feature of the smart gas data center.

### Claim 5 (depends on 1)

A non-transitory computer-readable storage medium, comprising a set of instructions, wherein when a computer reads the computer instructions in the storage medium, the method for controlling data transmission for smart gas of claim 1 is implemented.

### Claim 6

An Internet of Things (IOT) system for controlling data transmission control for smart gas, wherein the system comprises a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensing network platform, and a smart gas object platform interacting in sequence, and the loT system for controlling data transmission control for smart gas is configured to:
obtain gas data of a gas user continuously, and storing the gas data into a storage unit;
predict a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit;
in response to the probability of full storage meeting a preset probability condition:
obtain the gas data of the gas user within the preset time period from the storage unit;
determine an upload demand degree of the gas data based on the gas data; and
in response to the upload demand degree meeting a preset condition, transmit the gas data within the preset time period to the smart gas management platform based on the smart gas object platform at a target upload time point of a smart gas meter of the gas user, wherein the target upload time point is a next most recent upload time point in a set of upload time points of the smart gas meter,
obtain, by the smart gas management platform, uploaded data of at least one smart gas meter at a preset cycle periodically, and determine the set of upload time points of the at least one smart gas meter based on the uploaded data and send the set of upload time points of the at least one smart gas meter to the smart gas meter, including:
generating a plurality of candidate combinations, one of the plurality of candidate combinations including a set of candidate upload time points of the at least one smart gas meter;
for one of the plurality of candidate combinations, determining an adaptability value of the candidate combination based on the candidate combination and the uploaded data, the adaptability value being determined based on a predicted congestion degree and a predicted demand matching degree; and
determining the set of upload time points of the at least one smart gas meter based on the adaptability value, wherein
the preset cycle is related to a difference between an actual congestion degree and a predicted congestion degree, and a difference between an actual demand matching degree and a predicted demand matching degree in a most recent cycle.

### Claim 7 (depends on 6)

The loT system of claim 6, wherein the smart gas management platform includes a gas business management sub-platform, a non-gas business management sub-platform and a smart gas data center;
the gas business management sub-platform interacts bi-directionally with the smart gas data center, the non-gas business management sub-platform interacts bi-directionally with the smart gas data center, and the gas business management sub-platform and the non-gas business management sub-platform obtains data and feeds back corresponding operation information from the smart gas data center.