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.

Abstract: The present disclosure relates to a method, system, and non-transitory computer-readable storage medium for constructing a base matrix of a PBRL LDPC code, comprising: determining at least one candidate sub-matrix of a PBRL LDPC code based on a base matrix of a QR-QC-LDPC code; obtaining at least one count of cycles with at least one preset length for each of the at least one candidate sub-matrix; and determining a first sub-matrix of the base matrix of the PBRL LDPC code based on the at least one count of cycles.

Abstract: A support accessory is provided for an LED lamp, and the support accessory includes a frame and a supporting leg. The frame is configured to be detachably coupled to the LED lamp, and the supporting leg is configured for supporting the frame on at least one certain support surface when the LED lamp is installed. Wherein, in a first state, the supporting leg is fixed to the frame, and in a second state, the supporting leg is slidably coupled to the frame and can slide relative to the frame to adjust length of the supporting leg between the frame and the at least one certain support surface.

Abstract: An industrial internet of things with independent management platform and control methods thereof are provided. The service platform and sensor network platform use a centralized arrangement, and the management platform uses an independent arrangement. When the management platform receives sensing detection data transmitted by the object platform, the sensing detection data is presented to the user platform after being processed by a sub-platform. When the management platform sends a control command to the object platform, a control parameter of a type of production line stage is calculated by a corresponding sub-platform and sent to the object platform by the sub-platform.

Abstract: A braze coating material with a nickel core and a coating, a preparation method thereof, and a braze coating method are provided. The braze coating material with a nickel core and a coating requires no binder and has strong adhesion ability, and includes the nickel core, a coating layer, a hardened layer, and a protective layer sequentially from inside to outside. The nickel core is metallic nickel having a surface subjected to a roughening treatment. The coating layer is a first brazing flux layer including hard particles, a first brazing flux, and a brazing filler metal powder. The hardened layer contains a second brazing flux and is covered with the protective layer mainly composed of a silicate.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things systems for determining a safety inspection plan based on a smart gas geographic information system (GIS). The method is implemented by a smart gas pipeline network safety management platform of the Internet of Things system for determining the safety inspection plan based on the smart gas GIS, including: generating an obtaining instruction; generating a grading instruction through a preset grading algorithm based on the geographical feature, the pipeline feature, the pipeline network historical data, and a count of gas pipeline network grades; determining an inspection plan through a first preset algorithm based on the grading result; and determining an inspection instruction through a preset generation algorithm based on the inspection plan, and sending the inspection instruction to a user terminal.

Abstract: The disclosure provides a method and a system for muck truck management in a smart city based on Internet of Things. The method is performed by a management platform, including: obtaining construction site information, determining a target monitoring device of a target site based on the construction site information, obtaining muck truck monitoring data of the target site through the target monitoring device, and performing muck processing information analysis based on the muck truck monitoring data to generate muck truck management information.

Abstract: The present disclosure provides methods and systems for assessing a pipeline failure based on a smart gas Internet of Things (IoT). The method is implemented by a smart gas safety management platform of an IoT system for smart gas pipeline network safety management, and the method includes obtaining at least one first failure risk in a gas pipeline and a downstream user feature, generating a plurality of candidate gas processing schemes based on the at least one first failure risk, and determining at least one second failure risk based on the at least one first failure risk and at least one of the candidate gas processing schemes.

Abstract: The present disclosure provides a method and a system for area management in a smart city based on an Internet of Things. The method includes obtaining environmental monitoring data in a target area through a sensor network platform, the environmental monitoring data including at least one of air quality data, weather data, and satellite image data, predicting an air pollution situation in the target area through a regional prediction model based on the environmental monitoring data, the regional prediction model being a machine learning model, and sending prompt information, which is determined based on the air pollution situation in the target area, to a user platform through a service platform, wherein the target area is a hexagonal area; and the regional prediction model includes seven regional models and an air quality determination model; wherein a prediction mode of the regional prediction model is an iterative prediction.

Abstract: Presented are systems and methods for model management. A wireless communication device can send a first indication to initiate an update of a model to a wireless communication node. The wireless communication device can receive a second indication to trigger an uplink transmission from the wireless communication node. The wireless communication device can receive information for updating the model from the wireless communication node.

Abstract: The present disclosure discloses an Industrial Internet of Things for determining a material transportation path, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a reconstruction module configured to reconstruct the first layout directed graph and form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

Abstract: The disclosure provides a method and a system for muck processing in a smart city based on Internet of Things. The method is performed by a management platform, including: determining a target monitoring device of a target site based on the construction site information, obtaining muck truck monitoring data of the target site through the target monitoring device, obtaining dropped muck situation information of the muck truck in different time periods and determining muck truck management information by performing muck processing information analysis based on the muck truck monitoring data, determining vehicle dust situation information through a fourth model, determining a dropped muck reason or a dust reason through a third model, and issuing different processing instructions based on different reasons of dropped muck and/or dust produced by the muck truck.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things systems for managing traffic road cleaning in smart city. The method is executed by a traffic management platform, comprising: obtaining a road video captured by an imaging device on a road during a time period; extracting a target image from the road video and processing the target image through a prediction model to predict a road cleanliness; processing the road video in the time period and predicting a flow corresponding to the road; and controlling a road sweeper to clean the road based on the flow and the road cleanliness.