METHODS AND INTERNET OF THINGS (IOT) SYSTEMS FOR GAS SAFETY WARNING BASED ON GAS DETERMINATION SCENARIOS

    公开(公告)号:US20240312331A1

    公开(公告)日:2024-09-19

    申请号:US18679481

    申请日:2024-05-31

    摘要: The present disclosure provides a method and IoT system for gas safety warning based on a gas determination scenario. The method is implemented by a smart gas safety management platform of the IoT system for gas safety warning. The method comprises determining the gas determination scenario through a preset determination algorithm based on gas data in a plurality of dimensions, wherein the gas determination scenario includes a first determination scenario or a second determination scenario; determining a dynamic threshold set corresponding to the gas determination scenario through a model based on the gas determination scenario and gas scenario data, wherein the dynamic threshold set includes at least one of warning concentration thresholds, warning slope thresholds, and warning time thresholds; and determining a gas leakage situation based on the gas data and the dynamic threshold set, and issuing gas safety warning.

    METHODS, SYSTEMS, AND MEDIUMS FOR GAS MONITORING AND ASSESSMENT BASED ON INTERNET OF THINGS

    公开(公告)号:US20240288328A1

    公开(公告)日:2024-08-29

    申请号:US18658931

    申请日:2024-05-08

    IPC分类号: G01M3/04

    CPC分类号: G01M3/04

    摘要: A method, system, and medium for gas monitoring and assessment based on Internet of Things. The method is executed by a processor in a smart gas safety management platform of a system for gas monitoring and assessment based on Internet of Things. The method includes: obtaining industrial gas data of a workshop to be monitored based on a smart gas indoor device object platform and uploading the industrial gas data to a smart gas data center through a smart gas indoor device sensor network platform; obtaining regional data of the workshop to be monitored based on a smart gas service platform and uploading the regional data to the smart gas data center through the smart gas indoor device sensor network platform; determining a key sub-region based on the regional data and the industrial gas data.

    METHOD FOR EVALUATING PIPELINE CLEANING SOLUTION BASED ON SMART GAS AND INTERNET OF THINGS SYSTEM THEREOF

    公开(公告)号:US20240278296A1

    公开(公告)日:2024-08-22

    申请号:US18648373

    申请日:2024-04-27

    IPC分类号: B08B9/055

    CPC分类号: B08B9/0551 B08B2209/053

    摘要: The present disclosure provides a method for evaluating a pipeline cleaning solution based on smart gas and an Internet of Things system. The method comprises: obtaining an operation feature of at least one gas pipeline and inspection data of the at least one gas pipeline; determining an area to be cleaned and an area feature of the area to be cleaned; generating at least one candidate pipeline cleaning solution based on the area feature of the area to be cleaned; processing each of the at least one candidate pipeline cleaning solution and the area feature through a pipeline cleaning effect prediction model to determine a pipeline cleaning effect of each of the at least one candidate pipeline cleaning solution; determining a pipeline cleaning solution based on the pipeline cleaning effect; and evaluating a pipeline cleaning effect of the pipeline cleaning solution based on an implementation of the pipeline cleaning solution.

    METHODS AND SYSTEMS FOR PROCESSING SMART GAS REGULATORY INFORMATION BASED ON REGULATORY INTERNET OF THINGS

    公开(公告)号:US20240242232A1

    公开(公告)日:2024-07-18

    申请号:US18619142

    申请日:2024-03-27

    摘要: 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.

    METHOD AND SYSTEM FOR DETERMINING PRESSURE REGULATION SCHEME AT INTELLIGENT GAS GATE STATION BASED ON INTERNET OF THINGS

    公开(公告)号:US20240086788A1

    公开(公告)日:2024-03-14

    申请号:US18516894

    申请日:2023-11-21

    摘要: A method and system of determining a pressure regulation scheme at an intelligent gas gate station based on an Internet of Things are provided. The method is performed by at least one processor of an intelligent gas management platform, and the intelligent gas management platform includes an intelligent customer service management sub-platform, an intelligent operation management sub-platform, and an intelligent gas data center. The method includes: obtaining, by a processor of the intelligent gas data center, gas terminal information from an intelligent gas object platform through an intelligent gas sensor network platform; predicting, by a processor of the intelligent operation management sub-platform, a gas gate station flow by analyzing the gas terminal information based on a flow model; determining, by the processor of the intelligent operation management sub-platform, gas gate station pressure; obtaining a pressure sum; and determining the pressure regulation scheme based on the pressure sum and a total pressure threshold.

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

    公开(公告)号:US20240046283A1

    公开(公告)日:2024-02-08

    申请号:US18484425

    申请日:2023-10-10

    摘要: 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.

    METHOD AND SYSTEM FOR DETERMINING MAINTENANCE TIME OF PIPE NETWORKS OF NATURAL GAS

    公开(公告)号:US20240036563A1

    公开(公告)日:2024-02-01

    申请号:US18485307

    申请日:2023-10-11

    IPC分类号: G05B23/02 G05B13/04

    摘要: The present disclosure provides a method and a system for determining a maintenance time of a pipe network of natural gas. The method may comprise: obtaining pipe network information of natural gas in at least one area, the pipe network information including a running time of the system and gas leakage information of the pipe network; extracting feature information based on the running time and the gas leakage information; generating a pipe network maintenance value through a maintenance value prediction model based on pipe network maintenance information and pipe network environment information, the pipe network maintenance value reflecting a priority of pipe network maintenance processing; and predicting the maintenance time of the pipe network based on the feature information and the pipe network maintenance value using a maintenance time prediction model, the maintenance time prediction model being a machine learning model.

    METHODS AND SYSTEMS FOR GAS LEAKAGE SAFETY WARNING BASED ON INTERNET OF THINGS (IOT) OF SMART GAS

    公开(公告)号:US20240005771A1

    公开(公告)日:2024-01-04

    申请号:US18468735

    申请日:2023-09-17

    IPC分类号: G08B21/12 G08B21/18

    摘要: The present disclosure provides a method and system for gas leakage safety warning based on Internet of Things (IoT) of smart gas. The method is implemented by a smart gas safety management platform of an IoT system for gas leakage safety warning. The method comprises obtaining gas data. The gas data at least includes gas operation data and gas concentration data. The method also includes determining a gas determination scenario through a preset determination algorithm based on the gas data, and determining a dynamic threshold set based on the gas data and the gas determination scenario. The dynamic threshold set includes a dynamic threshold of a gas concentration change of at least one time point. The method further includes determining gas leakage warning information of the at least one time point based on the gas data, the gas determination scenario, and the dynamic threshold set.

    METHODS AND INTERNET OF THINGS SYSTEMS FOR MANAGING CAMERA DEVICES OF PUBLIC LANDSCAPE IN SMART CITIES

    公开(公告)号:US20230370650A1

    公开(公告)日:2023-11-16

    申请号:US18361025

    申请日:2023-07-28

    摘要: The present disclosure provides a method and an Internet of Things system for managing a camera device of a public landscape in a smart city. The method is implemented based on the Internet of Things system, the system including a plurality of user platforms, a service platform, a management platform, and a plurality of object platforms. The method includes: counting, based on the service platform, a count of audience of the landscape images corresponding to the different user platforms in a preset future duration, and sending the count of the audience to the management platform, wherein the count of audience of the landscape images corresponding to the different user platforms in the future duration is determined through processing the count of the audience of the landscape images in a preset historical duration based on a third prediction model, and the third prediction model is the machine learning model; and determining, based on the management platform, a camera device to be canceled, the camera device to be canceled being a camera device corresponding to a landscape image whose the count of the audience does not satisfy a preset condition.