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.

Abstract: The present disclosure provides an industrial Internet of Things for controlling a supply of accessories and control methods. The industrial Internet of Things comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured to include different accessory supply devices, each of which is configured with a data collector. The sensor network platform receives and sends accessory supply data to different management sub-platforms. The different management sub-platforms receive the different accessory supply data, after data processing, store and send at least one processing result data to different service sub-platforms. The different service sub-platforms receive and send corresponding processing result data to the user platform separately. The user platform generates a first instruction to a corresponding service sub-platform based on the at least one processing result data.

Abstract: This present disclosure provides a method for automatic production line planning based on an Industrial Internet of Things, a system and a storage medium.

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 embodiments of the present disclosure provide methods and Internet of Things systems for controlling automatic odorization of smart gas device management. The method may include obtaining gas data of a first gas sample at a first position of a smart gas pipeline network based on a sampling device; odorizing at a second position of a smart gas pipeline network based on odorization parameters through an odorization device; obtaining inspection data of a second gas sample at a third position of the smart gas pipeline network based on an inspection device; updating the odorization parameters based on the inspection data through a device parameter remote management module; and odorizing at the second position of the smart gas pipeline network based on the updated odorization parameters through the odorization device.

Abstract: A double-sided vibrating speaker includes a magnet member, a first vibration member and a second vibration member. The magnet member has a main magnetic unit, a first magnetic unit and a second magnetic unit, the main magnetic unit has a main magnetic plate and two side magnetic plates, the main magnetic plate has air vents, each the side magnetic plate is provided on two sides of the main magnetic plate, the main magnetic unit forms an H-shape. The first vibration member is disposed on one surface of the magnet member, the second vibration member is disposed on another surface of the magnet member.

Abstract: Some embodiments of the present disclosure provide a method for production line electricity management based on an Industrial Internet of Things, system, and storage medium. The system includes a registration module and a judgment module. The registration module is configured to: reset electric energy metering equipment based on an initialization instruction; in response to a successful reset of the electric energy metering equipment, complete a parameter configuration of the electric energy metering equipment based on a parameter configuration instruction. The judgment module is configured to: in response to a correct parameter configuration of the electric energy metering equipment, obtain power consumption data; obtain an internal power consumption distribution of the production line based on the power consumption data; and determine whether a power consumption of the production line is abnormal based on the internal power consumption distribution.

Abstract: The present disclosure provides an Industrial Internet of Things system conducive to system scalability and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform or the sensor network platform adopts independent layout. The service platform and the sensor network platform both include sub platforms and each sub platform is provided with a database, a processor, and/or an information channel. The object platform includes a production line, and the production line is configured with a plurality of sensors. In each sub platform of the sensor network platform, a same communication protocol is used with the sensors connected to a same sub platform of the sensor network platform. Any sub platform of the sensor network platform is connected with a unique sub platform of the service platform through the management platform.