Chengdu Qinchuan Iot Technology Co., Ltd.

Other

Chengdu University of Technology

Motorola Solutions, Inc.

Yong Li

Zehua Shao

Bin Liu

Xiaojun Wei

Yaqiang Quan

Haitang Xiang

Yongzeng Liang

Junyan Zhou

Lei Zhang

Yuefei Wu

Zhihui Wen

Guanghua Huang

Lei He

Feng Wang

Quan Wang

Yunbai Chen

Yong Tian

Tongqing Wang

Xingyu Zhang

Da-Jun Chen

Kang-Kai Zhao

Dawei Zheng

Ming Ding

Siwei Zeng

Cheng Liu

Wu Yang

Chaorong Wu

Yuexiang Hao

Junxiang Li

Yizhen Li

Yunsong Gu

Yuzhong Lei

Yiyan Chen

Jianhua He

Kesai Li

Ruolong Ma

Hucheng Deng

Kaixing Huang

A seismic quantitative prediction method for shale total organic carbon (TOC) based on sensitive parameter volumes is as follows. A target stratum for a TOC content to be measured is determined, logging curves with high correlations with TOC contents are analyzed, the logging curves are found as sensitive parameters; sample data are constructed using the sensitive parameters; a radial basis function (RBF) neural network is trained with the sample data as an input and the TOC content at a depth corresponding to the sample data as an output to obtain a RBF neural network prediction model; sensitive parameter volumes are obtained by using the sensitive parameters and post stack three-dimension seismic data to invert; prediction samples are constructed using the sensitive parameter volumes; the predicted samples are input to the RBF neural network prediction model to calculate corresponding TOC values, thereby the TOC content of the target stratum is predicted.

Seismic quantitative prediction method for shale TOC based on sensitive parameter volumes

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

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 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

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

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 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

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

Disclosed is method and system for safety monitoring of pipeline operation status based on smart gas IoT. The method includes: obtaining operation data of a gas pipeline in a monitoring area; obtaining candidate pipeline information; obtaining candidate pipeline information; determining, based on the candidate pipeline information, target pipeline information, and sending the target pipeline information to the gas company management platform through the government safety supervision sensor network platform; generating, based on the target pipeline information, a maintenance instruction, and sending the maintenance instruction to a device object platform; sending the monitoring adjustment instruction to the plurality of target monitoring devices through the device object platform; sending the storage allocation instruction to the storage unit through the device object platform to control the storage unit to delete outdated monitoring data and adjust the allocation ratio according to the allocation ratio and the minimum allocation space.

Methods and systems for safety monitoring of pipeline operation status based on smart gas Internet of Things

Embodiments of the present disclosure provide a method for detecting a gas alarm based on smart gas and an Internet of Things (IoT) system. The method comprises: determining a self-detection parameter and collecting gas monitoring data through the gas alarm; in response to determining that a collaborative verification request is received or a collaborative cycle is satisfied, determining whether the gas alarm has a fault based on the gas monitoring data and gas usage data of a user; in response to determining that the gas alarm has the fault, generating, based on the gas monitoring data, a fault data sequence of the gas alarm; and determining, based on the fault data sequence, a dispatching maintenance parameter of the gas alarm. The IoT system comprises a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor equipment sensor network platform, and a smart gas indoor equipment object platform. The smart gas safety management platform is configured to perform the method for detecting the gas alarm based on smart gas.

Growing community of inventors

Chengdu, China

Yong Li