Chengdu Qinchuan Iot Technology Co., Ltd.

Xiaojun Wei

Zehua Shao

Yaqiang Quan

Yong Li

Bin Liu

Haitang Xiang

Junyan Zhou

Yongzeng Liang

Lei Zhang

Yuefei Wu

Zhihui Wen

Guanghua Huang

Feng Wang

Lei He

Siwei Zeng

Hong Li

Quan Wang

Lilong Su

Yunsong Gu

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.

Method and system for determining pressure regulation scheme at intelligent gas gate station based on internet of things

Provide are a method and an IoT system for monitoring gas at a smart gas gate station based on safety supervision. The method includes: obtaining gas monitoring data and determining a uniformity degree of the gas based on the gas monitoring data; in response to the uniformity degree satisfying a first preset condition, determining gas component data; obtaining environmental data; determining a component influence coefficient based on the uniformity degree and the environmental data; in response to the component influence coefficient satisfying a second preset condition, generating and transmitting a retrieval instruction to a gas user platform; determining a confidence weight corresponding to the feedback information; determining a monitoring accuracy based on the feedback information, the confidence weight, the gas component data, and the component influence coefficient; and generating and sending an adjustment instruction to a smart gas device object platform based on the monitoring accuracy.

Methods and Internet of Things (IoT) systems for monitoring gas at smart gas gate stations based on safety supervision

The present disclosure provides an intelligent manufacturing method based on Industrial Internet of Things with a centralized service platform, including: the user platform inputting the parameter configuration information, and the service platform disassembling it into multiple sets of configuration data groups according to process; the management platform storing and processing the configuration data groups, and the configuration data group being used as a reference data group; the object platform taking the perception information as a verification data group at a set time interval; the management platform receiving and processing the verification data group, and sending the reference data group and the verification data group to the service platform; the service platform receiving and comparing the reference data group and the verification data group; if comparisons exceed the set threshold range, generating stop operation instructions and sending them to the object platform to control the production line device to stop running.

Intelligent manufacturing methods and systems based on Industrial Internet of Things with a centralized service platform

The embodiments of the present disclosure provide a method and smart gas Internet of Things (IoT) system for determining a gas abnormity for a safe gas use. The method is implemented by a smart gas IoT system including a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor device sensing network platform, and a smart gas indoor device object platform. The method is performed by the smart gas safety management platform, including: receiving request information of a target user, the request information including a request of the target user for analyzing a gas abnormity cause; extracting user data based on the request information, and extracting gas data based on the user data; and determining, based on the user data and the gas data, analysis information of the gas abnormity cause.

Methods and smart gas internet of things systems for determining gas abnormity for safe gas use

The embodiment of the present disclosure provides a method for gas pipeline network supervision based on smart gas and an Internet of Things system, the method including: obtaining an area to be inspected; determining one or more downstream users based on the area to be inspected, obtaining gas consumption data of each of the one or more downstream users; determining, based on the gas consumption data, peak-valley features of gas consumption at a future time; determining a plurality of optional time points based on the peak-valley features of gas consumption; predicting future gas consumption features based on one or more change values of accessibility, the plurality of optional time points, and the gas consumption data through a prediction model; determining a target inspection time point based on the future gas consumption features; and generating inspection reminder instructions based on the target inspection time point.

Method for gas pipeline network supervision based on smart gas and internet of things system thereof

The present disclosure provides methods and Internet of Things (IoT) systems for determining a fire rescue plan in a smart city. The method includes obtaining monitoring data of a disaster area in a first period of time; predicting fire information in a second period of time based on the monitoring data; determining flow information of the disaster area based on the monitoring data, the flow information including at least one of traffic flow information or human flow information; and determining a rescue plan based on the fire information and the flow information, the rescue plan including at least one of a count of fire trucks or a count of ambulances.

Methods and internet of things (IoT) systems for determining fire rescue plan in smart city

Disclosed is a method and a system for pipeline temperature control of smart gas based on IoT. The method is implemented based on the system for pipeline temperature control of smart gas based on IoT, comprising: obtaining pipeline information of a gas pipeline and basic perceptual data collected and uploaded by a gas equipment object platform, obtaining at least one candidate parameter from a government safety supervision management platform, and determining at least one transportation parameter based on at least one iterative interaction with the government safety supervision management platform; and controlling, based on the at least one transportation parameter, an air compression device of the gas equipment object platform to adjust a gas transportation temperature.

Methods and systems for pipeline temperature control of smart gas based on internet of things (IOT)

A method for linkage alarm between a gas alarm and a gas meter is provided. The method comprises: obtaining a detection signal through electrical connection with the alarm; in response to the detection signal meeting a preset alarm condition, determining a target alarm event corresponding to the detection signal; when the target alarm event is the abnormal gas concentration in the target area, closing, by the gas meter, a gas valve of the gas meter; when the target alarm event is the abnormal operation of the alarm or the abnormal connection of the alarm, receiving a reset instruction; determining a reset alarm event corresponding to the at least one reset operation; determining a credibility of the target alarm event; determining whether to send a control closing instruction to the gas meter based on the credibility; and closing the gas valve of the gas meter based on the control closing instruction.

System and method for linkage alarm between gas alarm and gas meter

A method and an Internet of Things system for corrosion supervision of a gas pipeline are provided. The method includes: obtaining inspection data of a gas pipeline in a gas pipeline network; constructing a first pipeline diagram of the gas pipeline network based on the inspection data; determining a corrosion probability of the gas pipeline based on the first pipeline diagram using a corrosion probability model; determining one or more estimated pipeline corrosion regions based on the corrosion probability of the gas pipeline; obtaining in-depth inspection data of the gas pipeline by performing in-depth inspection on at least one of the estimated pipeline corrosion regions; determining corrosion features of the one or more estimated pipeline corrosion regions based on gas monitoring data and the in-depth inspection data of the gas pipeline; and determining a repair plan based on the one or more estimated pipeline corrosion regions and/or the corrosion features.

Method and internet of things (IoT) system for corrosion supervision of gas pipeline

The embodiments provide a method of greening management in smart cities, a system, and a storage medium thereof. The method is executed by a management platform, comprising: obtaining, based on an object platform, vegetation data of a monitoring region corresponding to the object platform through a sensor network platform, the vegetation data including at least one of species information, and actual growth parameters; obtaining vegetation anomaly information of the monitoring region based on the vegetation data, the vegetation anomaly information including a vegetation anomaly position and a vegetation anomaly amount; obtaining a predicted air quality of the monitoring region according to the vegetation anomaly information of the monitoring region in combination with a traffic flow and a population density of the monitoring region; and determining a greening processing priority of the monitoring region based on the predicted air quality and the vegetation anomaly information of the monitoring region.

Methods of greening management in smart cities, system, and storage mediums thereof

The embodiments of the present disclosure provide a method for determining a monitoring scheme based on smart gas, wherein the method is executed by an smart gas pipe network safety management platform of a safety monitoring Internet of Things system of pipe network reliability degree, including: obtaining a reliability degree influence feature of a pipe network node from an smart gas pipe network sensor network platform, wherein the reliability degree influence feature includes at least one of an intrinsic feature or an extrinsic feature; determining reliability degree of the pipe network node based on the reliability degree influence feature; and determining a monitoring scheme based on the reliability degree of the pipe network node. The monitoring scheme includes a key pipe network node to be monitored.

Method for determining a monitoring scheme and safety monitoring internet of things systems of pipe network reliability degree based on smart gas

The present disclosure provides a method for determining a garbage sweeping point in a smart city and an Internet of Things system. The method is implemented by the Internet of Things system. The method includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method is performed through the management platform and includes: obtaining monitoring information on at least one road within a road network area, identifying a target object on the at least one road, the target object including at least garbage to be processed; determining, based on an identification result, information related to the target object, the information related to the target object including at least a garbage volume of the garbage to be processed; and determining at least one target garbage sweeping point based on the information related to the target object.

Methods for determining garbage sweeping points in smart cities and internet of things systems thereof

The embodiments of the present disclosure provide a method for a shared bicycle delivery and an operation area planning in a smart city and an Internet of Things (IoT) system thereof. The method may be implemented based on a management platform of the Internet of Things (IoT) system. The method includes: obtaining reference information of people flow in at least one target area, determining a predicted people flow in the at least one target area at a target time, and determining a demand quantity for shared bicycles; obtaining historical data of shared bicycles in a plurality of reference areas, and predicting a variation quantity of shared bicycles in the at least one target area at the target time; and determining a delivery quantity of shared bicycles in the at least one target area at the target time.

Methods for shared bicycle delivery and operation area planning in smart cities and internet of things (IoT) systems thereof

The present disclosure provides an Industrial Internet of Things for automatic executing product manufacturing based on a task, comprising a task module, a process processing module, and an analysis module. The task module is configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task, the process processing module is configured to determine manufacturing process information based on the first instruction, decompose the manufacturing process information and generate sub-process manufacturing data, and the analysis module is configured to compose a set of manufacturing data based on the sub-process manufacturing data and the process execution time, perform a manufacturing feasibility analysis based on the set of manufacturing data, in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, perform the product manufacturing corresponding to sub-process based on the sub-process manufacturing data.

Industrial internet of things, control methods, and storage mediums for automatic executing product manufacturing based on tasks

The embodiments of the present disclosure provide a method for planning a garbage cleaning route in a smart city and an Internet of Things (IoT) system. The method is implemented by the Internet of Things system for planning a garbage cleaning route in a smart city. The IoT system includes a user platform, a service platform, a management platform, a sensor network platform and an object platform. The method is performed by the management platform. The method includes obtaining monitoring information on at least one road in a road network area, and recognizing a garbage accumulation situation on the at least one road; determining at least one target garbage cleaning point based on the garbage accumulation situation; and determining a garbage cleaning route based on the at least one target garbage cleaning point.

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Chengdu, China

Xiaojun Wei