Chengdu Qinchuan Iot Technology Co., Ltd.

Southwest Petroleum University

Chengdu Leps Technology Co., Ltd

Jiangsu Xin Chen Thermal Technology Co., Ltd

China Chengda Engineering Co. Ltd

Bin Liu

Zehua Shao

Yaqiang Quan

Yong Li

Xiaojun Wei

Haitang Xiang

Yongzeng Liang

Yuefei Wu

Lei Zhang

Junyan Zhou

Guanghua Huang

Zhihui Wen

Rui Wang

Jianchun Guo

Shaobin Zhang

Cong Lu

Bin Wang

Shan Ren

Siwei Zeng

Su Diao

Qingsong Guo

Yang Lu

Bo Gou

Tao Zhang

Gang Li

Jichuan Ren

Yuxuan Liu

Qianli Lu

Mingyuan Zhou

Lilong Su

Jiapeng Zhang

Chaojun Tang

Hangyu Zhou

Yongxin Zhu

Hengbo Zuo

Hongmei Wang

Yangyi Xing

Hao Ou

Junyao Ran

Xueshan Yang

Huifei Mao

Guangyao Yang

Zemao Huang

Ren Wang

Xifeng Peng

Rentao Liu

Yufeng Zeng

Kui Li

Siliang You

Zhituo Wang

Jin Tang

Shixiong Song

Yuda Chen

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 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

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

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

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 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.

Industrial Internet of Things (IoT) for determining reparability of defective product, control method, and storage medium thereof

The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining an inspection route for smart gas. The method includes: obtaining gas safety hazard data of a gas pipeline network; dividing the gas pipeline network into one or more gas inspection units through a first preset algorithm based on geographic information data, environmental data, and a pipeline type of the gas pipeline network; assigning one or more gas safety hazard items to each of the gas inspection units based on the gas safety hazard data corresponding to the gas inspection unit; determining a processing plan of the gas inspection unit; determining potential safety hazard data of different gas inspection units through a potential safety hazard prediction model; and determining the inspection route through a second preset algorithm based on the potential safety hazard data, the processing plan, and a Geographic Information System.

Method and internet of things (IoT) system for determining inspection route for smart gas

The present disclosure provides a method of charging pile recommendation for a new energy vehicle in a smart city. This method is executed by a charging pile management platform. This method includes: 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; obtaining a knowledge map; based on the knowledge map, determining the failure rate of the object charging pile; based on a failure rate of the object charging pile, determining recommendation information of the object charging pile; and based on the service platform, feeding back the recommendation information to the user through the user platform.

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

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

A suspended sand dragging fiber and a preparation method thereof, the method including: dispersing nanoparticles into a first solvent, adding a coating agent and a flexibilizer to the first solvent, and stirring and aging to obtain a surface treatment agent; adding a surfactant to a second solvent, adding alkyl polyether siloxane to the second solvent after the surfactant is dissolved in the second solvent, and stirring to obtain a finishing agent; transferring the surface treatment agent to a sizing trough of a sizing machine, sizing polyester fibers using the sizing machine, and drying and curing to obtain surface-modified fibers, and diluting the finishing agent to obtain a finishing agent solution, and treating the surface-modified fibers with the finishing agent solution to obtain the suspended sand dragging fiber.

Suspended sand dragging fibers and preparation methods 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

Growing community of inventors

Chengdu, China

Bin Liu