Abstract: A method for managing energy-saving early warning of a smart gas flowmeter is provided. The method is executed by a smart gas management platform. The method comprises obtaining a remaining power of the smart gas flowmeter, determining a confidence level of the remaining power based on at least environmental data, determining a calibrated power by calibrating the remaining power based on the confidence level, determining whether to issue a power alert to a gas user based on the calibrated power, operation data of the smart gas flowmeter, and at least one reference correspondence. The reference correspondence represents a relationship between an operation behavior of the smart gas flowmeter and a power consumption. The method also comprises generating an energy-saving management and operation scheme of the smart gas flowmeter in response to a determination that the power alert is issued to the gas user.

Abstract: Embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for managing smart gas safety based on user activity. The method includes obtaining gas data of a gas user, determining, based on the gas data, a gas risk for the gas user, and determining at least one target on-site user based on the gas risk. The method further includes determining, based on at least the gas data of the target on-site user, an activity distribution of the at least one target on-site user, and based on the activity distribution, determining a recommended on-site time set and sending the recommended on-site time set to the at least one target on-site user.

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Abstract: The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.

Abstract: The present disclosure provides a method and a system for regulating pipeline network maintenance based on a smart gas Internet of Things (IoT). The method includes obtaining gas data of at least one faulty pipeline, generating at least one set of candidate maintenance schemes based on the at least one faulty pipeline, determining a recommended maintenance approach for the at least one faulty pipeline based on the at least one set of candidate maintenance schemes and the gas data, determining a set of monitoring point locations based on the recommended maintenance approach, and determining a regulation parameter of a regulation device based on monitoring data of the set of monitoring point locations. The system includes a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas sensing network platform, and a smart gas object platform interacting in sequence.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety management of a smart gas underground gas pipeline network. The method is implemented by a smart gas safety management platform and includes: obtaining basic monitoring information of at least one pipeline network partition collected by distributed monitoring components arranged at a plurality of monitoring points; determining at least one key monitoring point and monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan for the smart gas safety management platform; adjusting the preset monitoring frequency of the distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message to be sent to a user terminal based on an inspection result of the inspection robot.

Abstract: An industrial internet of things system for intelligent production control is provided, comprising: a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The user platform modifies production line parameters based on an instruction of the user, generates a first instruction, and sends it to the management platform through the transformation of the service platform. The object platform collects production link data of each production link of products and transmits it to the management platform. The management platform modifies work order parameters based on a second instruction transformed by the service platform, generates a third instruction, and determines whether devices corresponding to the plurality of production links are abnormal based on the production link data.

Abstract: Methods and Internet of Things (IoT) systems for gas meter management based on a smart gas platform are provided. The method is implemented based on a smart gas device management platform of the IoT system for smart gas meter management, and the method comprises: obtaining traceability information and user information of a gas meter, the traceability information at least including active data and the active data being related to a gas meter management operation performed on the gas meter; in response to the active data satisfying a preset condition, generating warning information and sending the warning information to at least one associated platform of the IoT system for smart gas meter management; in response to receiving request information of a user, retrieving associated traceability information of the gas meter based on the request information, the traceability information, and the user information; and pushing the associated traceability information to the user.

Abstract: The following is directed to an abrasive particle having a body including a core and a coating overlying at least a portion of the core. The coating can include a content of lithium. In an embodiment, the coating can further include silicon, oxygen, or a combination thereof.

Abstract: The present disclosure provides a method for smart gas pipeline transportation performance prediction. The method includes: determining, based on a gas pipeline map, transportation performance of a target gas pipeline section by a transportation performance determination model, wherein the gas pipeline map reflects a connection relationship of a plurality of gas pipeline sections within a preset range of the target gas pipeline section, and the gas pipeline map is generated based on information of one or more historical gas pipeline sections; nodes of the gas pipeline map include connections between the gas pipeline sections, gas storage points, gate stations, or pipeline bends, and edges of the gas pipeline map include the gas pipeline sections; a node feature of the gas pipeline map includes whether to process gas, an edge feature of the gas pipeline map includes pipeline parameters and a pipeline maintenance situation.

Abstract: The present disclosure provides a method and an Internet of Things system for managing a gas pressure based on smart gas. The method includes: determining a gas in-home pressure regulation scheme, and the gas in-home pressure regulation scheme including a pressure regulation parameter of a gas device; generating, based on the gas in-home pressure regulation scheme, a pressure regulation instruction; regulating, based on the pressure regulation instruction, a gas in-home pressure of at least one floor; and transmitting the gas in-home pressure regulation scheme to a smart gas user terminal.

Abstract: A method and a smart gas Internet of things (IoT) system for metering anti-interference of a gas ultrasonic meter. The IoT system including a smart gas user platform, a smart gas service platform, a smart gas sensing network platform, a smart gas object platform, and a smart gas device management platform. The method may be performed by the smart gas device management platform. The method may include: transmitting at least two sound waves of different frequencies at at least two time-dividing points and receiving at least two echo signals by the gas ultrasonic meter. The at least two time-dividing points may be determined at least based on time-dividing point correlation data; determining, based on the at least two echo signals, a gas flow difference; determining, based on the gas flow difference, whether a noise interference exists; and in response to a determination that the noise interference exists, adjusting a gas metering strategy.

Abstract: Methods and Internet of things systems for generating early warning information in a risk region in a smart city are provided. The method includes: obtaining, from at least one monitoring device of at least one target region based on a sensing network sub-platform of a sensing network platform, a monitoring image of the at least one target region by a public security management platform; sending the monitoring image of the corresponding target region to a management sub-platform of the public security management platform; and based on the management sub-platform, processing the monitoring image to determine a suspicious index of at least one person in the monitoring image; determining, based on a sum of suspicious group indexes of suspicious groups in the target region, a risk index of the target region; generating early warning information in response to the risk index of the target region greater than a first threshold.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for gas loss control based on a smart gas platform. The method is executed by a smart gas device management platform of the IoT system. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining a gas loss rate of the gas pipeline branch based on the gas delivery parameters and the gas data; and in response to the gas loss rate satisfying a first predetermined condition, adjusting a pressure of a gas pipeline network.

Abstract: A method, an Internet of Things (IoT) system, and a medium for disposing emergency gas supply of smart gas are provided. The method comprises: obtaining gas data based on a data acquisition device; determining future predicted data of a gas pipeline network system based on the gas data and gas pipeline features; determining a future fault pipeline based on the future predicted data; determining target regions based on the future fault pipeline; and determining an emergency vehicle dispatch instruction based on the target regions.

Abstract: A method and a smart gas Internet of Things system for maintenance scheduling and management based on gas safety are provided. The method may comprise the following operations. Gas-related features of at least one area may be obtained, alert vectors of the at least one area may be determined based on the gas-related features, the alert vectors including a leakage alert value, a count of on-call maintenance personnel in the at least one area based on the alert vectors may be determined, whether the count of on-call maintenance personnel meets a preset threshold may be determined, in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, a real-time scheduling policy based on a scheduling capability value of the at least one area where the count of on-call maintenance personnel meets the preset threshold may be determined.

Abstract: The present disclosure provides an industrial Internet of things for monitoring a collaborative robot and a control method, a storage medium thereof, wherein the control method comprises: obtaining position data of the workpiece to be processed as first monitoring data through the sensing network platform; selecting, based on the first monitoring data, a benchmark working parameter matching the first monitoring data from a working parameter library; obtaining, via the sensing network platform, a working parameter of the target collaborative robot as second monitoring data; comparing the second monitoring data with the benchmark working parameter to determine a working state of the target collaborative robot.

Abstract: Computing architecture comprises an off-chip memory, an on-chip cache unit, a prefetching unit, a global scheduler, a transmitting unit, a pre-recombination network, a post-recombination network, a main computing array, a write-back cache unit, a data dependence controller and an auxiliary computing array. The architecture reads data tiles into an on-chip cache in a prefetching mode, and performs computing according to the data tiles; in the computing process of the tiles, a tile exchange network is adopted to recombine a data structure, and a data dependence module is arranged to process a data dependence relationship possibly existing between different tiles. According to the computing architecture, the data utilization rate can be increased, the data processing flexibility is improved, and therefore Cache Miss is reduced, and the memory bandwidth pressure is reduced.

Abstract: A system and method for treating reverse-osmosis (RO) concentrated water with high temporary hardness. The system includes a crystallization unit, a precipitation unit, a dewatering unit, and a programmable logic controller (PLC) system. The crystallization unit, precipitation unit and dewatering unit are connected in series, and the PLC system is configured to control pumps, valves, and displays in the crystallization unit, precipitation unit and dewatering unit. The crystallization unit includes a storage tank and a crystallization reactor communicated therewith. The crystallization reactor is provided with a pH meter, a liquid-level gauge, and a stirrer. A connection pipe between the crystallization reactor and the RO concentrated water is provided with an inlet pump and a inlet valve. A connection pipe between the crystallization reactor and the storage tank is provided with a feeding pump and a feeding valve.

Abstract: A total nitrogen (TN) removal device for sewage and its operation method. The TN removal device includes a denitrification tank, a supplementary reaction zone filled with aerobic granular sludge and a sedimentation and separation zone. The supplementary reaction zone and the sedimentation and separation zone are arranged inside the denitrification tank, and communicated through a three-phase separator. The sedimentation and separation zone is located above the supplementary reaction zone. A top of the sedimentation and separation zone is greater than its bottom. A membrane aerated biofilm reactor (MABR) assembly is arranged in a space formed by outer walls of the sedimentation and separation zone and supplementary reaction zone and an inner chamber of the denitrification tank. A side wall of the denitrification tank is provided with a chemical oxygen demand (COD) detector and a nitrate nitrogen detector.