Abstract: A smart gas emergency gas supply equipment is provided. The smart gas emergency gas supply equipment may be an emergency vehicle including a skid-mounted vehicle, a gas storage tank, an extensible pipeline group, a pressure regulating device, a gasification device, and a control module. The control module may be configured to determine, based on an emergency gas supply plan of the smart gas emergency gas supply device, operating parameters of the pressure regulating device and the gasification device. The emergency gas supply plan at least includes a gas source selection plan and a gas demand, the gas source selection plan may at least include a gas pipeline network crossover and a gas tank direct supply.

Abstract: The embodiments of the present disclosure provide a method and smart gas Internet of Things (IoT) system for determining a gas abnormity for a safe gas use. The method is implemented by a smart gas IoT system including a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor device sensing network platform, and a smart gas indoor device object platform. The method is performed by the smart gas safety management platform, including: receiving request information of a target user, the request information including a request of the target user for analyzing a gas abnormity cause; extracting user data based on the request information, and extracting gas data based on the user data; and determining, based on the user data and the gas data, analysis information of the gas abnormity cause.

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, an Internet of Things system, and a storage medium for assessing a smart gas emergency plan are provided, the method is executed by a smart gas safety management platform of the Internet of Things system. The method may include: obtaining a gas pipeline network warning information distribution of a gas pipeline network, the warning information distribution including warning information of at least one warning point location; obtaining gas monitoring data of at least one associated point location corresponding to the at least one warning point location; determining at least one emergency processing point based on the warning information distribution and the gas monitoring data of at least one associated point location; and determining a deployment plan for a gas emergency vehicle based on a gas supply blockage range of the at least one emergency processing point.

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: The present disclosure provides a system of an industrial Internet of Things (IoT) for operation management of an automated guided vehicle (AGV), a method, and a medium. The method includes: obtaining an AGV circuit layout, and adding pre-planned paths of all AGVs to form an AGV operation model; obtaining a feeding time of each material end point within a preset period; assigning an operation speed to each AGV of the all AGVs, calculating an operation track of the each AGV; determining that a current operation process is unqualified when any two of operation tracks reach a same node at a same time; determining a target operation speed combination; recalculating the operation tracks based on the target operating speed combination until the operation process is qualified; and controlling an operation of the each AGV and sending the operation track of the each AGV of the qualified operation process to a user.

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: A method and system of determining a pressure regulation scheme at an intelligent gas gate station based on an Internet of Things are provided. The method is performed by at least one processor of an intelligent gas management platform, and the intelligent gas management platform includes an intelligent customer service management sub-platform, an intelligent operation management sub-platform, and an intelligent gas data center.

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: 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 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: The present disclosure provides an industrial IoT for correction and regulation of a defective product, a control method, and a storage medium. The industrial IoT includes a user platform, a service platform, a management platform, and a sensing network platform that interact in sequence. The service platform, the management platform, and the sensing network platform are all arranged in a front-sub-platform layout. The control method is applied in the industrial IoT. The industrial IoT may calculate whether a defective product is correctable according to a correction cost of the defective product, and may reduce the correction cost and a time consumption of a corresponding correction device, thereby reducing correction cost of the defective product and a loss in a manufacturing process, further ensuring a normal product manufacturing efficiency of the correction device, and thus reducing a correction loss of a waste product and the defective product.

Abstract: The present disclosure provides a method and an Internet of Things (IoT) system for full-cycle management of smart gas equipment based on the big data, implemented by a smart gas equipment management platform of IoT system for full-cycle management of smart gas equipment based on big data. The method comprises obtaining operation data of gas equipment by generating a data obtaining instruction based on a preset cycle, generating a partitioning instruction based on the operation data, determining first partitioning data and second partitioning data based on the partitioning instruction, and determining a maintenance scheme for the gas equipment based on the first partitioning data and/or the second partitioning data.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for gas purification management in a storage and distribution station for smart gas. The method is implemented based on the IoT system for gas purification management in the storage and distribution station for smart gas. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by the smart gas device management platform. The method includes: obtaining a gas quality condition parameter of a raw gas, and the gas quality condition parameter being obtained based on the storage and distribution station; determining, based on the gas quality condition parameter, an operation parameter in a purification process, the operation parameter being used for a purification operation of the raw gas.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things system for controlling a gas supply cost based on smart gas. The method is implemented by a smart gas management platform of the Internet of Things system. The method includes: predicting a gas supply quantity for a future preset time period based on a planned gas supply quantity of a gas supplier; predicting a gas demand quantity for the future preset time period based on a gas usage quantity of a historical user; determining a gas gap for the future preset time period based on the gas supply quantity and the gas demand quantity; and determining a gas compensation scheme based on the gas gap, operational requirements of an end of a pipeline, and operational parameters of the end of the pipeline.

Abstract: A method, an Internet of Things (IoT) system, and a storage medium for smart gas abnormal data analysis are provided. The method may include: obtaining a user feature and a pipeline network transportation feature of each of a plurality of gas users; obtaining a first clustering result and a second clustering result by clustering the gas user based on the user feature and the pipeline network transportation feature respectively, the first clustering result and the second clustering result including one or more gas user clusters, respectively; for any one of the gas user clusters: determining, based on device use data and/or gas metering data of the gas user in the gas user cluster, a potential abnormal gas user; determining a target abnormal user based on the first abnormal user and the second abnormal user; and sending an early warning message to the target abnormal user.

Abstract: 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.

Abstract: The present disclosure discloses an Internet of Things (IoT) system for industrial data processing, a control method, and a storage medium, and provides a technical solution for a timely adjustment of production line parameters according to image information generated during a machine vision data collection on the production line. Through a difference of the image information corresponding to different process operations, a processing situation of different process operations may be obtained, so that more accurate adjustment of the production line parameter may be achieved without increasing the system complexity, thereby effectively reducing a development cost of the IoT, and increasing accuracy of the intelligent manufacturing control.