# US 2024/0201710 A1 · Methods and smart gas internet of things systems for automatic control of industrial gas flows > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0201710 A1 - Document ID: US20240201710A1 - Status: Published application - Kind: A1 - Application number: 18/587,956 - Filed: 2024-02-27 - Published: 2024-06-20 - Earliest claimed: 2024-01-24 - Assignees: Chengdu Qinchuan Iot Technology Co., Ltd. - Applicants: Chengdu Qinchuan Iot Technology Co., Ltd. - Inventors: Zehua SHAO; Yaqiang QUAN; Xiaojun WEI; Feng WANG - Web page: https://patentgrep.com/patent/US20240201710A1 ## CPC - G05D 7/0623: {characterised by the set value given to the control element} - G05D 7/0635: {by action on throttling means (G05D7/0688, G05D7/0694 take precedence)} - G16Y 10/35: Utilities, e.g. electricity, gas or water - Y02P 90/02: Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] - G05D: SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES - G16Y: INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT] - Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS ## Abstract Example embodiments of the present disclosure provide a method and a smart gas Internet of Things (IOT) system for automatic control of an industrial gas flow. The method may include: obtaining a water valve adjustment history record of an industrial user who uses a hot water supply device; determining a target temperature data table for the industrial user based on the water valve adjustment history record; obtaining current water valve data of the hot water supply device in response to determining that the industrial user uses the hot water supply device; and determining a gas flow parameter based on the current water valve data and the target temperature data table. The smart gas IoT system may include a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensing network platform, and a smart gas object platform. ## Claims ### Claim 1 A method for automatic control of an industrial gas flow, wherein the method is executed by a smart gas device management platform of a smart gas Internet of Things (IoT) system, and the method comprises: obtaining a water valve adjustment history record of an industrial user who uses a hot water supply device; determining a target temperature data table for the industrial user based on the water valve adjustment history record, wherein the target temperature data table includes at least one water valve scale and at least one target temperature range corresponding to the at least one water valve scale; obtaining current water valve data of the hot water supply device in response to determining that the industrial user uses the hot water supply device; and determining a gas flow parameter based on the current water valve data and the target temperature data table, wherein the gas flow parameter includes an adjustment sequence of the industrial gas flow. ### Claim 2 (depends on 1) The method according to claim 1, wherein the determining a target temperature data table for the industrial user based on the water valve adjustment history record includes: obtaining, based on the water valve adjustment history record, a historical water valve adjustment characteristic of the industrial user through a predetermined time sequence; determining, based on the historical water valve adjustment characteristic, the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale; and determining the target temperature data table based on the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale. ### Claim 3 (depends on 2) The method according to claim 2, wherein the determining the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale based on the historical water valve adjustment characteristic includes: determining, based on the historical water valve adjustment characteristic, the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale through a temperature determination model, wherein the temperature determination model is a machine learning model. ### Claim 4 (depends on 3) The method according to claim 3, wherein the determining the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale based on the historical water valve adjustment characteristic further includes: merging the at least one target temperature range in response to determining that an overlap ratio of the at least one target temperature range corresponding to the at least one water valve scale exceeds an overlap threshold. ### Claim 5 (depends on 3) The method according to claim 3, further comprising: determining a target temperature limit based on a water valve adjustment rate and a water valve adjustment amplitude of the industrial user. ### Claim 6 (depends on 2) The method according to claim 2, further comprising: dynamically updating the at least one target temperature range corresponding to the at least one water valve scale in the target temperature data table based on the water valve adjustment history record, wherein the dynamically updating includes: obtaining water valve secondary adjustment data during a reference time period; determining, based on the water valve secondary adjustment data, water temperature demand change information for the industrial user; and updating the at least one target temperature range corresponding to the at least one water valve scale based on the water temperature demand change information. ### Claim 7 (depends on 6) The method according to claim 6, wherein the reference time period includes a time period in which a change in the water valve adjustment history record is greater than a first threshold and a change in a gas usage volume of the industrial user is less than a second threshold. ### Claim 8 (depends on 1) The method according to claim 1, wherein the determining a gas flow parameter based on the current water valve data and the target temperature data table includes: determining a target temperature range of the industrial user based on the current water valve data and the target temperature data table; determining a temperature rise demand based on the current water valve data and the target temperature range of the industrial user; and determining the gas flow parameter based on the temperature rise demand and water tank information. ### Claim 9 (depends on 8) The method according to claim 8, wherein the determining the gas flow parameter based on the temperature rise demand and water tank information includes: determining the gas flow parameter based on the water tank information, the temperature rise demand, and the target temperature range of the industrial user through a flow parameter model, wherein the flow parameter model is a machine learning model. ### Claim 10 (depends on 9) The method according to claim 9, wherein an input of the flow parameter model includes a maximum gas flow rate. ### Claim 11 (depends on 8) The method according to claim 8, wherein the determining a temperature rise demand based on the current water valve data and the target temperature range includes: evaluating a water temperature adjustment accuracy requirement corresponding to the current water valve data based on the target temperature range of the industrial user or a target temperature limit; and determining the temperature rise demand based on the water temperature adjustment accuracy requirement. ### Claim 12 A smart gas Internet of Things (IOT) system for automatic control of an industrial gas flow, comprising a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensing network platform, and a smart gas object platform, wherein the smart gas device management platform includes a smart gas indoor device parameter management sub-platform, a smart gas pipeline network device parameter management sub-platform, and a smart gas data center; the smart gas sensing network platform includes a smart gas indoor device sensing network sub-platform and a smart gas pipeline network device sensing network sub-platform; the smart gas object platform includes a smart gas indoor device object sub-platform and a smart gas pipeline network device object sub-platform; the smart gas indoor device parameter management sub-platform is configured to obtain a water valve adjustment history record of an industrial user who uses a hot water supply device and the water valve adjustment history record is stored in the smart gas data center; the smart gas indoor device parameter management sub-platform is configured to determine a target temperature data table for the industrial user based on the water valve adjustment history record, wherein the target temperature data table is stored in the smart gas data center and the target temperature data table includes at least one water valve scale and at least one target temperature range corresponding to the at least one water valve scale; the smart gas indoor device parameter management sub-platform is configured to obtain current water valve data of the hot water supply device in response to determining that the industrial user uses the hot water supply device, and the current water valve data is stored in the smart gas data center; and the smart gas pipeline network device parameter management sub-platform is configured to determine a gas flow parameter based on the current water valve data and the target temperature data table stored in the smart gas data center and send the gas flow parameter to the smart gas pipeline network device object sub-platform via the smart gas pipeline network device sensing network sub-platform, wherein the gas flow parameter includes an adjustment sequence of the industrial gas flow. ### Claim 13 (depends on 12) The smart gas IoT system according to claim 12, wherein to determine the target temperature data table for the industrial user based on the water valve adjustment history record, the smart gas indoor device parameter management sub-platform is configured to: obtain, based on the water valve adjustment history record, a historical water valve adjustment characteristic of the industrial user through a predetermined time sequence; determine, based on the historical water valve adjustment characteristic, the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale; and determine the target temperature data table based on the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale. ### Claim 14 (depends on 13) The smart gas IoT system according to claim 13, wherein to determine the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale based on the historical water valve adjustment characteristic, the smart gas indoor device parameter management sub-platform is further configured to: determine, based on the historical water valve adjustment characteristic, the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale through a temperature determination model, wherein the temperature determination model is a machine learning model. ### Claim 15 (depends on 14) The smart gas IoT system according to claim 14, wherein to determine the at least one water valve scale and the at least one target temperature range corresponding to the at least one water valve scale based on the historical water valve adjustment characteristic, the smart gas indoor device parameter management sub-platform is further configured to: merge the at least one target temperature range in response to determining that an overlap ratio of the at least one target temperature range corresponding to the at least one water valve scale exceeds an overlap threshold. ### Claim 16 (depends on 14) The smart gas IoT system according to claim 14, wherein the smart gas indoor device parameter management sub-platform is configured to determine a target temperature limit based on a water valve adjustment rate and a water valve adjustment amplitude of the industrial user. ### Claim 17 (depends on 13) The smart gas IoT system according to claim 13, wherein the smart gas indoor device parameter management sub-platform is configured to dynamically update the at least one target temperature range corresponding to the at least one water valve scale in the target temperature data table based on the water valve adjustment history record, wherein the dynamically update includes operations including: obtaining water valve secondary adjustment data during a reference time period; determining, based on the water valve secondary adjustment data, water temperature demand change information for the industrial user; and updating the at least one target temperature range corresponding to the at least one water valve scale based on the water temperature demand change information. ### Claim 18 (depends on 17) The smart gas IoT system according to claim 17, wherein the reference time period includes a time period in which a change in the water valve adjustment history record is greater than a first threshold and a change in a gas usage volume of the industrial user is less than a second threshold. ### Claim 19 (depends on 12) The smart gas IoT system according to claim 12, wherein to determine the gas flow parameter based on the current water valve data and the target temperature data table, the smart gas pipeline network device parameter management sub-platform is further configured to: determine a target temperature range of the industrial user based on the current water valve data and the target temperature data table; determine a temperature rise demand based on the current water valve data and the target temperature range of the industrial user; and determine the gas flow parameter based on the temperature rise demand and water tank information. ### Claim 20 (depends on 19) The smart gas IoT system according to claim 19, wherein to determine the temperature rise demand based on the current water valve data and the target temperature range, the smart gas pipeline network device parameter management sub-platform is further configured to: evaluate a water temperature adjustment accuracy requirement corresponding to the current water valve data based on the target temperature range of the industrial user or a target temperature limit; and determine the temperature rise demand based on the water temperature adjustment accuracy requirement.