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公开(公告)号:US11959777B2
公开(公告)日:2024-04-16
申请号:US18339222
申请日:2023-06-21
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Yong Li , Bin Liu
IPC: G01D21/02
CPC classification number: G01D21/02
Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety management of a smart gas underground gas pipeline network. The method is implemented by a smart gas safety management platform and includes: obtaining basic monitoring information of at least one pipeline network partition collected by distributed monitoring components arranged at a plurality of monitoring points; determining at least one key monitoring point and monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan for the smart gas safety management platform; adjusting the preset monitoring frequency of the distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message to be sent to a user terminal based on an inspection result of the inspection robot.
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公开(公告)号:US11953356B2
公开(公告)日:2024-04-09
申请号:US18357148
申请日:2023-07-23
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Bin Liu , Lei Zhang , Yuefei Wu
IPC: G06Q10/063 , G01F1/66 , G01F1/667
CPC classification number: G01F1/667
Abstract: The embodiment of the present disclosure provides a method and an Internet of Things system for monitoring a smart gas pipeline network based on an ultrasonic flowmeter. The method is implemented by a smart gas management platform of the Internet of Things system, including: acquiring distributed ultrasonic data for least at one moment, the distributed ultrasonic data including ultrasonic data acquired by the ultrasonic flowmeter and the ultrasonic flowmeter being deployed at at least one detection position of the gas pipeline network; determining a leakage risk of at least one preset point of the gas pipeline network based on the distributed ultrasonic data; and generating and sending warning information to a user based on the leakage risk.
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公开(公告)号:US11921498B2
公开(公告)日:2024-03-05
申请号:US18172268
申请日:2023-02-21
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Haitang Xiang , Bin Liu , Yuefei Wu , Lei Zhang
IPC: G05B19/418
CPC classification number: G05B19/41875 , G05B19/41835
Abstract: The present disclosure provides an industrial IoT for correction and regulation of a defective product, a control method, and a storage medium. The industrial IoT includes a user platform, a service platform, a management platform, and a sensing network platform that interact in sequence. The service platform, the management platform, and the sensing network platform are all arranged in a front-sub-platform layout. The control method is applied in the industrial IoT. The industrial IoT may calculate whether a defective product is correctable according to a correction cost of the defective product, and may reduce the correction cost and a time consumption of a corresponding correction device, thereby reducing correction cost of the defective product and a loss in a manufacturing process, further ensuring a normal product manufacturing efficiency of the correction device, and thus reducing a correction loss of a waste product and the defective product.
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14.
公开(公告)号:US11860610B2
公开(公告)日:2024-01-02
申请号:US18066297
申请日:2022-12-15
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Yong Li , Bin Liu , Haitang Xiang , Xiaojun Wei
IPC: G05B19/418
CPC classification number: G05B19/4185 , G05B19/4183 , G05B19/41865
Abstract: The present disclosure discloses a system of an industrial internet of things for industrial production control and a method. The system of industrial internet of things includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact in turn. The service platform adopts a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The user platform generates product manufacturing parameters of a production line, and transmits them in a form of instructions through the service platform, the management platform, and the sensor network platform. The sensor network platform finally integrates the received instructions with the real-time manufacturing data of the product to form different types of configuration files, and transmits them to the object platform, so that the object platform can perform production control processing based on the received data.
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15.
公开(公告)号:US11854104B1
公开(公告)日:2023-12-26
申请号:US17812178
申请日:2022-07-13
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Bin Liu , Yaqiang Quan , Yong Li , Xiaojun Wei
IPC: G06Q50/20
CPC classification number: G06Q50/205
Abstract: The embodiments of the present disclosure provide a method for managing school attendance of a smart city based on the Internet of Things, which is implemented by a school attendance management platform. The method for managing school attendance includes: obtaining student registration information based on a student user platform; obtaining student evaluation scores based on a plurality of school user sub-platforms; aggregating the student registration information and the student evaluation scores through a school attendance service platform to obtain aggregated data; and determining school place allocation based on the aggregated data.
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公开(公告)号:US11853398B2
公开(公告)日:2023-12-26
申请号:US18060975
申请日:2022-12-02
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Haitang Xiang , Yaqiang Quan , Bin Liu
IPC: G06F18/2413 , G06F18/23 , G06F11/30
CPC classification number: G06F18/2413 , G06F11/3089 , G06F18/23
Abstract: The present disclosure provides a method and system for determining an abnormity of a detection device of natural gas. The method comprises: obtaining a first detection data set collected by the detection device of the natural gas, determining whether the detection device is abnormal based on the first detection data set and a first historical detection data set, and sending a determination result to a terminal. The first detection data set and the first historical detection data set include a composition of natural gas, a temperature of natural gas, and a pressure of natural gas.
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公开(公告)号:US11837086B2
公开(公告)日:2023-12-05
申请号:US18048869
申请日:2022-10-24
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Haitang Xiang , Bin Liu , Xiaojun Wei , Yongzeng Liang
CPC classification number: G08G1/08 , G08G1/0125
Abstract: A method for traffic diversion management in a smart city is provided. The method applied to the management platform includes obtaining a first traffic feature of a target road within a first time period from an object platform through a sensor network platform, wherein the first traffic feature is a feature reflecting a flow situation of the target road, determining a target tidal lane opening scheme of the target road within the first time period based on the first traffic feature, wherein the target tidal lane opening scheme is a scheme for managing an opening time of a tidal lane, a flow direction of the tidal lane, and a number of tidal lanes for the target road, sending the target tidal lane opening scheme to the target object through a sensor network platform, and sending the target tidal lane opening scheme to the user platform through a service platform.
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18.
公开(公告)号:US11776409B2
公开(公告)日:2023-10-03
申请号:US18063642
申请日:2022-12-08
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Haitang Xiang , Bin Liu , Xiaojun Wei , Lei Zhang
IPC: G08G1/00
Abstract: Some embodiments of the present disclosure provide methods, Internet of Things systems, and storage mediums for street management in a smart city. The method may include obtaining, based on the object platform, street monitoring information of a target area through the sensor network platform; determining, according to the street monitoring information, distribution of fallen leaves on the street, the distribution of fallen leaves including a total amount of fallen leaves and a count of fallen leaf piles; determining, based on the distribution of fallen leaves, cleaning difficulty of each street in the target area; determining, based on the total amount of fallen leaves and the cleaning difficulty, at least one street to be cleaned from the target area; and determining, based on the at least one street to be cleaned, a fallen leaf cleaning route of the target area.
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19.
公开(公告)号:US11776081B1
公开(公告)日:2023-10-03
申请号:US17810616
申请日:2022-07-04
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Haitang Xiang , Yong Li , Yaqiang Quan , Bin Liu
Abstract: The present disclosure provides a method and a system for predicting air quality in a smart city based on an Internet of Things. The method includes obtaining environmental monitoring data in a target area through a sensor network platform, the environmental monitoring data including at least one of air quality data, weather data, and satellite image data, predicting an air pollution situation in the target area through a regional prediction model based on the environmental monitoring data, the regional prediction model being a machine learning model, and sending prompt information, which is determined based on the air pollution situation in the target area, to a user platform through a service platform.
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公开(公告)号:US11721191B1
公开(公告)日:2023-08-08
申请号:US17810647
申请日:2022-07-05
Applicant: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor: Zehua Shao , Yong Li , Bin Liu , Yaqiang Quan , Yongzeng Liang
CPC classification number: G08B21/10
Abstract: The present disclosure provides a method and system for flood early warning in a smart city based on Internet of Things (IoT). The method includes: obtaining precipitation information of a target area within a target time period through a meteorological management platform, obtaining drainage capacity information of the target area through a water affairs platform, determining regional ponding information of the target area in the target time period based on the precipitation information and the drainage capacity information, and generating a first flood early warning information of the target area based on the regional ponding information.
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