Chengdu Qinchuan Iot Technology Co., Ltd.

Chengdu Qinchuan Technology Development Co., Ltd.

Other

Zehua Shao

Yaqiang Quan

Yong Li

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

Lilong Su

Yuhao Chen

Hong Li

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

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

Disclosed is an inspection method and an Internet of Things system for smart gas supervision information, comprising: obtaining an inspection route; determining a plurality of inspection sub-routes; generating a calling instruction and an acquisition instruction, and sending the calling instruction and the acquisition instruction to a government gas supervision object platform and a gas equipment object platform; determining an inspection type parameter of each of a plurality of inspection sub-routes based on pipeline supervision information and facility supervision information, and determining an inspection assignment parameter; generating an inspection instruction, and sending the inspection instruction to the gas equipment object platform; in response to determining that an actual coverage satisfies a first preset condition, updating the plurality of inspection sub-routes; adjusting the inspection assignment parameter, and sending the inspection assignment parameter to the gas equipment object platform; after the inspection is completed, sending a current pipeline inspection result and pipeline defective information to the government gas supervision object platform.

Inspection method and internet of things (IoT) system for smart gas supervision information

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

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 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 present disclosure provides a pipeline monitoring method and Internet of Things system based on smart gas pipeline network safety. The method comprises: determining an inspection need of at least one gas pipeline segment based on pipeline characteristics and transportation characteristics; based on the inspection need of the at least one gas pipeline segment, determining at least one target pipeline segment; sending the at least one target pipeline segment to the smart gas data center, and further sending the target pipeline segment to the smart gas user platform based on the smart gas service platform; based on the at least one target pipeline segment, generating a remote control instruction and sending the remote control instruction to the smart gas data center, and based on the smart gas sensing network platform, sending the remote control instruction to the smart gas object platform to perform deep inspection.

Pipeline monitoring methods and internet of things based on smart gas pipeline network safety

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.

Methods for detecting gas alarms based on smart gas and internet of things (IoT) systems

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

Method for smart gas household inspection based on government supervision, IoT system, and medium are provided. The method includes obtaining gas usage data; determining a candidate inspection time period; determining an inspection parameter based on the candidate inspection time period and the inspection resource information; and generating an inspection command and sending the inspection command to a smart gas inspector object platform to enable the inspector to conduct home inspection. The system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, a smart gas equipment object platform, a smart gas inspector object platform, a government gas supervision object platform, a government gas supervision sensor network platform, a government gas supervision management platform, a government gas supervision service platform, and a citizen user platform. The method is implemented by reading computer instructions stored on computer-readable storage medium.

Methods for smart gas household inspections based on government supervision, IoT systems, and media thereof

Provided are an IoT system and a method for intelligent gas emergency safety management. The IoT system comprises a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, and a gas equipment object platform, wherein the government safety supervision object platform includes a gas company management platform. The method includes: obtaining emergency event information; determining an initial emergency response plan by matching in an emergency response plan database; obtaining traffic information and environmental information within an emergency scope; obtaining gas supply and demand data, available personnel information, and available resources information; determining a target emergency response plan by updating the initial emergency response plan; and sending the target emergency response plan to the gas company management platform for execution and obtaining an execution result of the gas company management platform.

Internet of things (IoT) systems and methods for intelligent gas emergency safety management

The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety monitoring and early warning of a smart gas pipeline network. The method includes: obtaining basic monitoring information; identifying abnormal information in the basic monitoring information; determining at least one abnormal information distribution map; determining a change feature of the abnormal information along a direction of the pipeline network; determining a monitoring point whose change feature meets a preset change condition and an abnormal information type of the monitoring point as at least one key monitoring point and a monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan; adjusting a preset monitoring frequency of distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message.

Method and internet of things (IoT) system for safety monitoring and early warning of smart gas pipeline network

Provide are a method, IoT system, and storage medium for smart gas construction supervision. The method includes: obtaining monitoring image data from a gas supervision device; determining a project impact level and a project estimated completion time of a gas construction project based on the monitoring image data, sending the project impact level to a gas company management platform, and sending the project estimated completion time to a citizen user platform for announcement and display; determining regulatory parameters based on the project impact level and the project estimated completion time, and sending the regulatory parameters to a gas equipment object platform; obtaining pipeline pressure values through one or more gas pressure regulating devices; determining a fluctuation characteristic or a pressure difference distribution characteristic based on the pipeline pressure values; and generating a pressure regulating instruction based on the regulatory parameters, and the fluctuation characteristic or the pressure difference distribution characteristic.

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Chengdu, China

Zehua Shao