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

Yuefei Wu

Lei Zhang

Guanghua Huang

Zhihui Wen

Feng Wang

Lei He

Quan Wang

Siwei Zeng

Hong Li

Lilong Su

Yunbai Chen

Yuhao Chen

Yunsong Gu

Disclosed is a method for managing gas data, which is implemented by at least one processor of an Internet of Things (IoT) system for managing the gas data. The method comprises: obtaining to-be-stored-gas data and downstream user features; determining a user importance level based on the downstream user features; determining accessing frequency distribution features of the to-be-stored-gas data; determining a risk degree of data through a second prediction model; constructing query feature vectors based on pipeline data, and determining a risk degree of the gas pipeline based on the query feature vectors; determining a gas data level; determining a data redundancy level; generating redundant data blocks of the to-be-stored-gas data; and storing the to-be-stored gas data and the redundant data blocks in the at least one storage node of the at least one sub-data center based on loading distribution features.

Method and internet of things (IoT) system for managing gas data

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

Industrial internet of things (IoT) with a sensing network platform in a post-sub-platform type where an issuing cache is set and controlling method thereof are provided, which has adopted a form of a five-platform structure to construct an intelligent manufacturing industrial IoT. Each platform has a corresponding hardware device. As a service platform and a management platform adopt a centralized layout, while the sensing network platform adopts a post-sub-platform layout, the sensing network platform may receive large quantities of instructions issued by the management platform, and balance the coordination of various instructions at the same time, which makes the present disclosure very suitable for large-scale production lines with the requirement of high overall coordination and makes the present disclosure have strong applicability.

Industrial internet of things with sensing network platform in post-sub-platform type where issuing cache is set and controlling method thereof

The present disclosure provides a method of charging information recommendation for a new energy vehicle in a smart city. This method is executed by a charging pile management platform. This method includes: based on the service platform, obtaining a charging request of a user by the user platform; based on the charging request, determining candidate charging piles; based on queuing information of the candidate charging piles and time information for going to the candidate charging piles, sorting the candidate charging piles to determine an object charging pile; processing the travel demand information, location information, and the environmental information of the object charging pile based on a recommendation model to determine first sub-recommendation information; based on a failure rate of the object charging pile, determining second sub-recommendation information; based on the first sub-recommendation information and the second sub-recommendation information, determining recommendation information; and feeding back the recommendation information to the user.

Method and internet of things system of charging information recommendation for new energy vehicle in smart city

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 embodiments of the present disclosure provide a method and an Internet of Things system for processing a work order of a gas platform based on smart gas operation. The method includes: obtaining execution data of the gas work order; determining at least one gas problem corresponding to the gas work order and a reference reason of the at least one gas problem based on the execution data; determining a target processing scheme of the gas work order based on the at least one gas problem and the reference reason, and sending the target processing scheme to a user terminal of an executant; in response to that a feedback of the user terminal satisfies a feedback preset condition, improving a risk level of the gas work order and providing an early warning notification.

Methods and internet of things systems for processing work orders of gas platforms based on smart gas operation

Embodiments of the present disclosure provide a method and system for environmental monitoring based on an intelligent gas regulatory IOTs, the method comprising: determining a target enterprise user and a corresponding target monitoring point location and a target monitoring parameter based on acquired gas regulatory data; determining a government environmental sampling parameter based on government environmental monitoring information, the target monitoring point location, and the target monitoring parameter, and obtaining surrounding environmental data based on the government environmental sampling parameter; controlling an environmental monitoring device to collect target monitoring data; determining a maintenance parameter based on the target monitoring data and the surrounding environmental data; generating a maintenance instruction based on an device operating state and the maintenance parameter; and adjusting the collection frequency of obtaining the gas regulatory data based on an execution result of the maintenance instruction and adjusting a storage space allocation parameter for the gas regulatory data of a different enterprise user, a data cleaning parameter; based on the collection frequency and the storage space allocation parameter, adjust a computing resource allocation parameter.

Methods and systems of environmental monitoring based on intelligent gas regulatory internet of things (Iots)

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

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.

Growing community of inventors

Chengdu, China

Zehua Shao