Abstract: A method and a smart gas Internet of Things system for management based on gas safety are provided. The method may comprise obtaining gas-related features of at least one area; determining alert vectors of the at least one area based on the gas-related features by manners for feature extraction; determining a count of on-call maintenance personnel in the at least one area based on the alert vectors; determining whether the count of on-call maintenance personnel meets a preset threshold; and in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, performing, based on an area map, multiple rounds of iterative update on a scheduling capability value of the at least one area that meets the preset threshold; and determining a real-time scheduling policy based on the updated scheduling capability value.

Abstract: The embodiments of the present disclosure provide methods for controlling natural gas efficiency enhancement of smart gas, smart gas Internet of Things (IoT) systems and mediums. The method may comprise obtaining at least one user need through a smart gas user platform based on a smart gas service platform, the user need including a gas usage target need; determining at least one optimization objective based on the at least one user need; determining a target proportioning feature of a synergist according to the at least one optimization objective, the target proportioning feature including a proportioning vector and an addition proportion of the synergist; and configuring a target synergist that satisfies the target proportioning feature to enhance efficiency of natural gas by sending the target proportioning feature to a smart gas object platform through a smart gas sensor network platform.

Abstract: Disclosed is a method for smart gas inspection supervision, comprising: evaluating an inspection matching degree between an inspector and an inspection device based on inspection record data and operation data; determining a task assignment parameter and a training parameter for the inspector based on a matching degree set; adjusting a first acquisition ratio of the inspection record data by a gas company inspector object platform, and a second acquisition ratio of the operation data by the gas company device object platform based on the task assignment parameter and the training parameter; adjusting a gas collection frequency of a gas sensor device, and a gas upload frequency of the gas sensor device based on task execution result; and generating an adjustment instruction based on an adjustment amount of the gas collection frequency and an adjustment amount of the gas upload frequency, and sending the adjustment instruction to a gas sensor device.

Abstract: An intelligent manufacturing industrial Internet of Things with a front split service platform is provided, which includes: an obtaining module configured to obtain an image taken by a first camera on a production line as a first image data and an image taken by a second camera as a second image data through a sensor network platform; a three-dimensional module configured to process into three-dimensional image data; a recognition module configured to obtain a plurality of point positions of a distortion part as judgment point positions; a mapping module configured to map the judgment point positions to the second image data to form second calibration point positions; and a calibration module configured to calibrate the first camera and the second camera according to first calibration point positions and the second calibration point positions.

Abstract: The present disclosure provides a method and an Internet of Things system for gas usage monitoring and warning based on smart gas, the method is performed by a smart gas safety management platform of an Internet of Things system for gas usage monitoring and warning based on smart gas, comprising: obtaining gas usage data from at least one gas device, based on the gas usage data, determining a gas monitoring object from the at least one gas device; determining initial objects based on the gas monitoring object and a gas usage threshold; processing historical gas data of the initial objects by using an evaluation model to determine suspicions of the initial objects, wherein the evaluation model is a machine learning model; and sending gas usage safety warning information to a gas user corresponding to the target object.

Abstract: Disclosed is a method for predicting demand for maintenance materials of a smart gas pipeline network. The method comprises: 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; determining sub-demand for the maintenance materials of each point position based on the fault probability of each point position of the one or more point positions, the sub-demand being obtained based on historical maintenance data of the gas pipeline network; determining the demand for the maintenance materials based on the sub-demand of each point position of the gas pipeline network; and transmitting the demand for the maintenance materials to the smart gas user platform based on the smart gas service platform.

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: The embodiment of the present disclosure provides a method for setting time of traffic lights in a smart city and an Internet of Things system. The method is implemented by an Internet of Things system for setting time of traffic lights in a smart city, which includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method includes: obtaining pedestrian information and intersection information of a target intersection, and the target intersection being an intersection provided with the traffic lights; determining, based on the pedestrian information and the intersection information, the scheme for setting time of the traffic lights at the target intersection; and sending a control instruction corresponding to the scheme for setting the time to the object platform, and in response to the received control instruction, controlling lighting duration of the traffic lights by the object platform.

Abstract: Disclosed is a method for controlling data transmission for smart gas, comprising: obtaining gas data of a gas user, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period; determining the upload demand degree based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to the smart gas management platform based on the smart gas object platform at a target upload time point of at least one smart gas meter of the gas user.

Abstract: Disclosed is a method for guaranteeing a smart gas demand based on a regulatory Internet of Things (IoT). The method is executed by a gas company management platform. The method includes: obtaining a plurality of grid regions by gridding a regulatory scope; predicting a gas demand degree of each of the plurality of grid regions in a future time period based on weather data, people flow data, historical gas data, and a gas consumption plan, and an authenticity degree of the gas consumption plan; determining a scheduling parameter based on the gas demand degree and schedulable resource data in the future time period; and generating a scheduling instruction based on the scheduling parameter, and sending the scheduling instruction to a terminal device corresponding to a schedulable resource device.

Abstract: Disclosed is a method and Internet of Things (IoT) system for smart gas pipeline zoning safety supervision, the method includes: determining a plurality of sub-regions by dividing a target region based on a gas pipeline distribution data in the target region; obtaining gas sensor data of each point in the plurality of sub-regions on the gas pipeline; determining, based on the gas sensor data and pipeline data, an actual leakage point on the gas pipeline; determining, based on the gas sensor data and a historical maintenance record, a potential hidden danger point on the gas pipeline. The IoT system includes a government supervision management platform, a government supervision sensor network platform, a government supervision object platform, a gas company sensor network platform, and a gas device object platform that interact in sequence.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for adjusting a pressure of a smart gas pipeline network. 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 an estimated value of a gas loss rate of the gas pipeline branch; determining a confidence level of the estimated value; in response to the confidence level satisfying an update condition, updating the preset point to determine an update point; determining an update confidence level; determining a composite confidence level of the estimated value; determining an adjustment factor; determining the gas loss rate; and in response to the gas loss rate satisfying a first predetermined condition, determining a target operating parameter, and adjusting a pressure of a gas network based on the target operating parameter.

Abstract: The embodiment of the present disclosure provides methods and Internet of Things systems for visual management of smart gas data center processes. The method is executed by a smart gas management platform of the Internet of Things system. The method includes: obtaining a data acquisition feature and first sampling data; obtaining a data summary feature and second sampling data; obtaining a first task list and a second task list, determining a first processing feature of the first task list and a second processing feature and a queuing feature of the second task list; determining an estimation feature, the estimation feature at least including an estimated completion time of the at least one gas task, and an estimated queuing time of the at least one pending gas task; generating first visualization data; and controlling at least one target platform to display the first visualization data.

Abstract: Embodiments of the present disclosure provide a method and an Internet of Things system for centralized heating gas supervision based on a supervision platform. The method includes obtaining an indoor environmental feature of each sub-region in a target region and gas consumption data of a heat supply source in the target region by a gas company sensor network plat form, the indoor environmental feature and the gas consumption data being collected by a smart gas device object platform; determining whether heating data in the target region meets a preset condition based on the indoor environmental feature of each sub-region and the gas consumption data; generating an early warning message in response to determining that the heating data does not meet the preset condition, and sending the early warning message to a gas user platform by a gas user service platform.

Abstract: An Industrial Internet of Things system, a control method and storage medium for monitoring sheet workpiece production are provided.

Abstract: Methods and Internet of Things (IoT) systems for information storage management based on a smart gas data center are provided. The method includes: when a smart gas platform stores data in the smart gas data center, determining an extraction feature and a value feature of sub-target data of target data; and determining a storage level of the sub-target data based on the extraction feature and the value feature of the sub-target data and storing the sub-target data in the smart gas data center according to the storage level; and when the smart gas platform reads the data from the smart gas data center: determining transmission execution data based on a transmission load and an importance score of a target smart gas platform and transmitting the data to the target smart gas platform based on the transmission execution data.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things system for determining a smart gas work order set allocation plan. The method includes: obtaining relevant data of the gas device, and uploading the relevant data to a smart gas management platform; extracting work order features of a work order to be assigned based on the relevant data of the gas device; determining a plurality of cluster sets based on a cluster distance between the work order features; determining at least one linked work order set based on the plurality of cluster sets; extracting set features of the linked work order set; determining an assignment scheme of the linked work order set based on the set features; determining an optimal scheme, determining a linkage processing scheme based on the optimal scheme; sending the assignment scheme and the linkage processing scheme to a smart gas service platform.

Abstract: A method for managing a gas pipeline corridor robot based on regulatory Internet of Things (IoT) is disclosed, the method comprises: obtaining corridor environmental data from a sensing network platform of the gas company; determining a robot inspection command based on the corridor environmental data; sending the robot inspection command to a gas equipment object platform via the sensing network platform of the gas company; obtaining inspection data of the maintenance robot; determining doubtful data based on the inspection data; in response to the presence of the doubtful data, transmitting the doubtful data to a gas customer service platform for manual re-inspection; and obtaining a manual re-inspection result and uploading the manual re-inspection result to a government supervision management platform via a government supervision sensing network platform.

Abstract: The present disclosure provides a method comprising obtaining gas data of a gas user continuously, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period from the storage unit; determining an upload demand degree of the gas data based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to a smart gas management platform based on a smart gas object platform at a target upload time point of a smart gas meter of the gas user.

Abstract: Method and Internet of Things system for safety inspection based on a smart gas geographic information system (GIS) are provided. The method comprises: determining a gridding result through performing gridding processing on a gas pipeline network; determining a required inspection area and an optional inspection area based on the gridding result; generating a target inspection route based on the required inspection area and the optional inspection area; determining an inspection plan based on the target inspection route; generating an inspection instruction based on the inspection plan; updating a gas pipeline grid graph based on inspection data after inspecting each inspection area; determining at least one failure possibility of the at least one node or the at least one edge through a failure possibility determination model; determining a grid safety score based on the at least one failure possibility, and determining an updated inspection plan based on the grid safety score.