Chengdu Qinchuan Iot Technology Co., Ltd.

Chengdu Qinchuan Technology Development Co., Ltd.

Other

Zehua Shao

Yong Li

Yaqiang Quan

Bin Liu

Xiaojun Wei

Haitang Xiang

Junyan Zhou

Yongzeng Liang

Lei Zhang

Yuefei Wu

Guanghua Huang

Zhihui Wen

Lei He

Feng Wang

Quan Wang

Siwei Zeng

Hong Li

Lilong Su

Yunbai Chen

Yuhao Chen

Yunsong Gu

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

Provided is a method for abnormality troubleshooting at a gas refueling station based on safety supervision, comprising: generating a refueling anomaly warning based on refueling error anomaly information and refueled vehicle anomaly information; generating a device inspection instruction based on the refueling anomaly warning and a device characteristic of a refueling device; determining an additional monitoring parameter corresponding to each of one or more devices to be inspected based on the device inspection instruction and uploading the additional monitoring parameter to a smart gas device object platform; generating a monitoring instruction and sending the monitoring instruction to a monitoring device associated with the one or more devices to be inspected; generating an initial inspection result based on an additional monitoring result and a routine monitoring result, uploading the initial inspection result to a smart gas government safety supervision management platform, and storing the initial inspection result in a database.

Methods and internet of things (IoT) systems for abnormality troubleshooting at refueling stations based on safety supervision

Disclosed is a method and system for filling gas safety supervision based on smart gas Internet of Things (IoT). The method is implemented by a gas company management platform of the system. The method comprises: obtaining monitoring data of a gas filling container based on an equipment object platform; obtaining usage information of the gas filling container; determining a target gas user based on a usage index and send, based on a gas user platform, container replacement information to the target gas user, and send a parameter adjustment instruction to an electronic monitoring device of the gas filling container corresponding to the target gas user; and interacting with a public user platform based on a government safety supervision sensor network platform, a government safety supervision management platform, and a government safety supervision service platform, and displaying the container replacement information based on the public user platform.

Methods and systems for filling gas safety supervision based on smart gas internet of things (IoT)

Provided is an Internet of things (IoT) system for pipeline valve calibration based on smart gas safety supervision, comprising a smart gas government safety supervision management platform, a smart gas government safety supervision sensor network platform, a smart gas government safety supervision object platform, a gas company management platform, a gas company sensor network platform, a gas equipment object platform, and a gas equipment maintenance object platform. The smart gas government safety supervision management platform is configured to generate a first calibration instruction. The gas company management platform is configured to determine a first calibration result; determine a flexible calibration batch; obtain a second calibration result; determine valves pending maintenance of gas pipelines; determine work order information; determine a work order dispatch instruction based on the work order information; and adjust a working parameter of an auxiliary device operating with the valves pending maintenance based on the parameter adjustment instruction.

Internet of things (IoT) systems and methods for pipeline valve calibration based on smart gas safety super vision

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)

The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for adjusting a pressure of a smart gas pipeline network. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining an estimated value of a gas loss rate of the gas pipeline branch; determining a confidence level of the estimated value; in response to the confidence level satisfying an update condition, updating the preset point to determine an update point; determining an update confidence level; determining a composite confidence level of the estimated value; determining an adjustment factor; determining the gas loss rate; and in response to the gas loss rate satisfying a first predetermined condition, determining a target operating parameter, and adjusting a pressure of a gas network based on the target operating parameter.

Method and internet of things (IOT) system for adjusting pressures of smart gas pipeline networks

The embodiments of the present disclosure provide a method for preventing electrochemical corrosion of a smart gas pipeline. The method may be implemented based on a smart gas pipeline network safety management platform of an Internet of Things system for preventing electrochemical corrosion of a smart gas pipeline. The method may include: determining an electrochemical corrosion degree of a gas pipeline at a second time based on environmental data of the gas pipeline at a first time, wherein the first time is before the second time; obtaining a difference between a thickness of the gas pipeline and the electrochemical corrosion degree at the second time; and determining, based on the electrochemical corrosion degree, a protection scheme of the gas pipeline.

Method, internet of things system, and medium for preventing electrochemical corrosion of smart gas pipeline

The embodiments of the present disclosure provide methods and Internet of Things (IoT) systems for maintenance management of a smart gas call center. The method includes: obtaining call consultation data information of a gas user; generating a multi-dimensional location evaluation value of an agent to be evaluated based on the call consultation data information, wherein the agent to be evaluated locates a gas fault type based on the call consultation data information; generating a multi-dimensional maintenance evaluation value of a maintainer to be evaluated based on the call consultation data information, wherein the maintainer to be evaluated performs maintenance based on the gas fault type; and adjusting a work order processing scope of the maintainer to be evaluated and the agent to be evaluated based on the multi-dimensional maintenance evaluation value and the multi-dimensional location evaluation value.

Methods and internet of things (IOT) systems for maintenance management of smart gas call center

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

The present disclosure provides an industrial Internet of things for determining working parameters of a collaborative robot and a control method, a storage medium thereof, wherein the control method comprises: obtaining position information, a morphological feature, and a specificity feature of the precision part; determining, based on the position information and the morphological feature, a benchmark working parameter for the target collaborative robot to perform the finishing on the precision part; determining a specificity machining point position based on the precision parameter distribution information after the previous process of the precision part and a reference precision of the previous process; determining, based on a precision parameter of the specificity machining point position, a dynamic working parameter through a precision prediction model and sending the benchmark working parameter and the dynamic working parameter to a service platform and to the user platform for display.

Industrial internet of things for determining working parameters of collaborative robot and control method, storage medium thereof

Provided are a method, an Internet of Things (IoT) system, and a storage medium for safety monitoring of a smart gas auxiliary component. The method includes: determining a first anomaly value of an auxiliary component based on operation data of the auxiliary component; determining a target acquisition parameter based on the first anomaly value; determining an acquisition instruction based on the target acquisition parameter, and sending the acquisition instruction to at least one of an interactive device of a staff member or a drone to control an infrared detection device to acquire infrared data of the auxiliary component according to the target acquisition parameter; determining a second anomaly value of the auxiliary component based on the infrared data, environmental data, and the first anomaly value; and determining and sending at least one of a maintenance instruction or a parameter adjustment instruction to a monitoring component and the interactive device.

Methods, internet of things (IOT) systems, and storage media for safety monitoring of smart gas auxiliary components

The present disclosure discloses Industrial Internet of Things (IIoT) system for industrial production data management, control method, and storage medium. By adopting different encryption methods for different image data, and without changing the overall architecture of the cloud computing Internet of Things, the safe penetration of sensitive data on the cloud computing platform is realized, which effectively improves the security of sensitive data. In addition, it does not require additional wiring, reducing the networking cost of the Internet of Things, which has high applicability.

Industrial internet of things (IIoT) system for industrial production data management, control method, and storage medium thereof

The present disclosure provides an industrial IoT for determining repairability of a defective product, a control method, and a storage medium. The industrial IoT includes an obtaining module, a total correction cost determination module, and a defective product processing module. The obtaining module is configured to obtain defective product data. The total correction cost determination module is configured to in response to a determination that a number of the defective product is larger than 1, obtain a first defective product vector and a second defective product vector; determine a first total correction cost and at least one second total correction cost; determine, based on the first total correction cost and the at least one second total correction cost, a total correction cost. The defective product processing module is configured to determine, based on the total correction cost and a preset cost, whether the defective product is repairable.

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Chengdu, China

Zehua Shao