Abstract: The present disclosure provides methods, Internet of Things (IoT) systems, and mediums for correcting a smart gas flow. The method may be implemented by a smart gas device management platform of an IoT system for correcting a smart gas flow. The method may include: obtaining reading data of a gas meter; determining a first confidence level of the reading data based on the reading data; in response to a determination that the first confidence level is smaller than a confidence level threshold, obtaining a working condition parameter; and determining, based on the working condition parameter, a gas meter correction mode.

Abstract: The present application discloses a backoff method and apparatus in a transmission process, a device, a system, and a storage medium, which relate to the field of communication technology. The method includes: a transmitting device performing LBT in an unlicensed frequency band; the transmitting device transmitting an RTS to a receiving device when the LBT has been successfully performed, the RTS including a first backoff time period; the transmitting device transmitting, after having received a CTS transmitted by the receiving device, a C-CTS to the receiving device, the C-CTS including a second backoff time period.

Abstract: The present disclosure provides a method and system for gas leakage safety warning based on Internet of Things (IoT) of smart gas. The method is implemented by a smart gas safety management platform of an IoT system for gas leakage safety warning. The method comprises obtaining gas data. The gas data at least includes gas operation data and gas concentration data. The method also includes determining a gas determination scenario through a preset determination algorithm based on the gas data, and determining a dynamic threshold set based on the gas data and the gas determination scenario. The dynamic threshold set includes a dynamic threshold of a gas concentration change of at least one time point. The method further includes determining gas leakage warning information of the at least one time point based on the gas data, the gas determination scenario, and the dynamic threshold set.

Abstract: The present disclosure provides a method and a system for generating a checklist in a smart city based on an Internet of Things. The method for generating a checklist in the smart city based on the Internet of Things is executed by a verification management platform. The method includes: obtaining a query request through a user platform based on a service platform, obtaining associated person information based on a population information platform, the associated person information including target object information and related person information, obtaining a collaborative feature through a collaborative platform based on the associated person information, determining a checklist corresponding to the query request based on the collaborative feature, and feedbacking the checklist to a user through the user platform based on the service platform.

Abstract: Embodiments of the present disclosure provide a method and a smart gas Internet of Things (IoT) system for remote control of an ultrasonic metering device. The method is implemented based on a smart gas device management platform of the IoT system and comprises: obtaining metering data of at least one ultrasonic metering device; determining any one of the at least one ultrasonic metering device as a current metering device; determining an accuracy of the current metering device through verifying the current metering device based on metering data of the current metering device and metering data of a related metering device; and sending an adjustment instruction to a target metering device based on the accuracy of at least one current metering device corresponding to the at least one ultrasonic metering device.

Abstract: The present disclose provides an industrial Internet of things for repeated positioning accuracy regulation, comprising a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact in turn; the sensor network platform and the service platform adopt a centralized arrangement; the management platform adopts a front sub-platform arrangement. The present disclosure reduces the difficulty and error of manual calculation, reduces labor cost to further realize the rapid regulation of repeated positioning accuracy and reduce the influence on the manufacturing operation of the object platform, which is safe, efficient, and low cost.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a gas meter measurement failure of a smart gas, the method including: by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform; by the indoor smart gas device management sub-platform, determining a candidate area based on the gas flow information; determining a target gas meter based on gas meter reading information of the candidate area, and then determining a maintenance plan for the target gas meter; and sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.

Abstract: The present disclosure discloses a system of an industrial internet of things for industrial production control and a method. The system of industrial internet of things includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact in turn. The service platform adopts a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The user platform generates product manufacturing parameters of a production line, and transmits them in a form of instructions through the service platform, the management platform, and the sensor network platform. The sensor network platform finally integrates the received instructions with the real-time manufacturing data of the product to form different types of configuration files, and transmits them to the object platform, so that the object platform can perform production control processing based on the received data.

Abstract: The embodiments of the present disclosure provide a method and a system for parameter adjustment of street lamps in a smart city based on an Internet of Things, the method is realized by the system, which includes a user platform, a service platform, a management platform, a sensor network platform and an object platform, the method is executed by the management platform, comprising: issuing a data acquisition instruction to receive road images acquired by the object platform; issuing a parameter determination instruction to determine irradiation intensities of the street lamps on a road based on the road images; acquiring navigation routes of vehicles by communicating with navigation systems of the vehicles; determining road segments where the vehicles are coming and estimated times when the vehicles arrive at the road segments; and adjusting the irradiation intensities of the street lamps at the road segments in a preset time in advance.

Abstract: Methods, Internet of Things (IoT) systems, and mediums for managing timeliness of smart gas data are provided. The method includes obtaining at least one piece of gas data of the smart gas data center periodically; for any one of the at least one piece of gas data, determining a data type of the gas data based on a historical fluctuation of the gas data, and categorizing and storing the gas data based on the data type; determining a timeliness feature of the gas data based on the data type and an information feature of the gas data; determining an analytical requirement score of the gas data based on a distributional feature of the gas data; determining an execution feature of the smart gas data center based on the timeliness feature of the at least one piece of gas data and the analytical requirement score of the at least one piece of gas data.

Abstract: The present disclosure discloses the industrial internet of things (IoT) with a sensing network platform in a post-sub-platform type and controlling method thereof, 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.

Abstract: The present disclosure provides a method and system for hierarchical processing of gas data based on smart gas Internet of Things (IoT). The method is executed via the smart gas IoT. The method includes obtaining gas data sending and receiving information of at least one node in at least one period. The method also includes predicting a gas data communication load of the at least one node in at least one future period based on the gas data sending and receiving information. The method further includes determining a time-sharing processing scheme for the at least one future period based on the gas data communication load of the at least one node in the at least one future period.

Abstract: This present disclosure provides a method and system for fire monitoring and early warning in a smart city based on Internet of Things. The method being executed by the management platform, and the method comprising: obtaining monitoring data collected by the object platforms through the sensor network platform, the monitoring data including smoke data, temperature data, image data of a drone, and manual inspection data, the manual inspection data being obtained based on a manual inspection interval; determining a fire risk level based on the monitoring data; in response to the fire risk level meeting a preset condition, sending an alarm to the user platform through the service platform; and in response to the fire risk level not meeting the preset condition, determining the manual inspection interval based on the fire risk level, and sending the manual inspection interval to the service platform and/or the user platform.

Abstract: The present disclosure provides a method for loan risk assessment in a smart city based on an Internet of Things. The method includes obtaining a risk query request generated in response to a loan request from a financial service platform; determining a related person of the loan object, an income and expenditure situation of which is similar to that of the loan object; in response to the risk query request, determining basic information of the loan object based on a population information platform, which at least includes income and expenditure information; obtaining a first loan information of the loan object and a second loan information of the related person based on the financial service platform; determining a loan risk of the loan object based on the basic information, the first loan information, and the second loan information; and sending the loan risk to the financial service platform.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for operation and management of a smart gas data center. The method is implemented by a smart gas management platform, comprising: obtaining gas data to be stored and downstream user features corresponding to the gas data to be stored; determining a data redundancy level of the gas data to be stored based on the gas data to be stored and the downstream user features; generating redundant data blocks of the gas data to be stored based on the data redundancy level; and storing the gas data to be stored and the redundant data blocks in at least one target region of the smart gas data center.

Abstract: The embodiments of the present disclosure provide a method for managing school attendance of a smart city based on the Internet of Things, which is implemented by a school attendance management platform. The method for managing school attendance includes: obtaining student registration information based on a student user platform; obtaining student evaluation scores based on a plurality of school user sub-platforms; aggregating the student registration information and the student evaluation scores through a school attendance service platform to obtain aggregated data; and determining school place allocation based on the aggregated data.

Abstract: Embodiments of the present disclosure provide a method, an Internet of Things system, and a storage medium for smart gas data management. The method includes: obtaining at least one type of raw gas data uploaded by at least one platform in the IoT system, wherein the raw gas data includes at least one of gas transportation data, gas pipeline data, and gas equipment data; evaluating a time reliability and a data reliability of the at least one type of the raw gas data; and generating at least one storage instruction based on the time reliability and the data reliability of the at least one type of the raw gas data to store the raw gas data in a corresponding data storage area.

Abstract: The present disclosure relates to the field of brazing material technologies, and particularly to a copper-phosphorus brazing wire for brazing a copper alloy spectacle frame as well as a preparing method and system thereof. The copper-phosphorus brazing wire for brazing a copper alloy spectacle frame includes components with following mass percentage, 87.1%˜91.4% of Cu, 1.5%˜2.6% of Ag, 5.9%˜8.4% of P, 0.2%˜0.42% of Al and 0.8%˜1.68% of Si. For the copper-phosphorus brazing wire according to the present disclosure, through coordination and cooperation of the components, impurity content is low and joint strength is high in a welding process; a mass ratio of the Si to the Al is a constant value, and a dense oxide film may be formed on a surface of a molten pool to hinder volatilization of Zn in a base material.

Abstract: The present disclosure discloses an industrial Internet of things with a sensor network platform in a front sub platform type, comprising: a user platform, a service platform, a management platform, a sensor network platform, and an object platform which are interacted sequentially. The sensor network platform adopts front sub platform layout, which can process data for different target objects, and then summarize data, so as to reduce the data processing capacity of entire sensor network platform. The management platform is arranged independently to form multiple independent data processing channels of the same or different. The gateway on each communication network shares part of the calculation for the management platform, effectively reducing the calculation pressure of the management platform, and ensuring that the data is transmitted according to a specific path or processed by a specific server, so as to ensure the safety and independence of the data.

Abstract: The embodiments of the present disclosure provide a method for managing school attendance of a smart city based on the Internet of Things, which is implemented by a school attendance management platform. The method for managing school attendance includes: obtaining student registration information based on a student user platform; obtaining student evaluation scores based on a plurality of school user sub-platforms; aggregating the student registration information and the student evaluation scores through a school attendance service platform to obtain aggregated data; and determining school place allocation based on the aggregated data.