Abstract: Disclosed is a method and an IoT system for smart control of a collection terminal. The method includes: receiving gas data and environmental monitoring data; in response to at least one of the gas data or the environmental monitoring data does not meeting a first preset condition, generating a first adjustment parameter; sending the first adjustment parameter to one or more first associated gas pipeline network data collection terminals; predicting future environmental change data at a future time point for an environment in which the gas pipeline network data collection terminal is located; in response to determining that the future environmental change data does not meet a second preset condition, determining a gas pipeline network data collection terminal to be adjusted; generating a second adjustment parameter; and sending the second adjustment parameter to the gas pipeline network data collection terminal to be adjusted.

Abstract: Disclosed is a method and an IoT system for maintaining a smart gas filling station based on safety supervision. The method comprises: obtaining historical gas filling data; determining, based on the historical gas filling data, a predicted usage feature; obtaining historical operation data; determining a historical operation feature based on the historical operation data; determining an operation and maintenance parameter based on the predicted usage feature and the historical operation feature, and generating a maintenance instruction; obtaining a count of reference vehicles; and generating a regulation instruction in response to determining that the count of the reference vehicles is greater than a reference threshold.

Abstract: The present disclosure provides methods and Internet of Things systems for gas operation based on a call center of smart gas. The method includes: obtaining call data of a gas user of a call center; predicting demand information of different types of users based on the call data of the gas user, respectively, the demand information at least including a gas product demand and a gas service demand; and determining a gas operation push feature and pushing the gas operation push feature based on the demand information of the different types of users, the gas operation push feature including a push type feature and a push content feature.

Abstract: Embodiments of the present disclosure provide a method and a system for predicting an accuracy risk of a smart gas meter based on Internet of Things (IoT). The method includes: acquiring gas attribute data of gas passing through a metering device based on a distributed sensor deployed in a gas pipeline network; determining a first accuracy risk of the metering device through performing pre-diagnosis on the metering device; in response to the first accuracy risk of at least one metering device satisfying a preset risk condition, constructing an accuracy diagnosis map based on metering devices in a gas area; determining, based on the accuracy diagnosis map, a second accuracy risk of the at least one metering device in the gas area through a pipeline network diagnosis model; and displaying detection indication information to a smart gas device management platform based on the second accuracy risk and a risk threshold.

Abstract: The disclosure provides a method for managing a cleaning route in a smart city, an Internet of Things system and storage medium. The method includes: obtaining target information of a target area within a preset time period based on an object platform; sending the target information to a management platform through a sensor network platform; determining a cleaning route of the target area by processing the target information of the target area based on the management platform, including: determining an estimated amount of fallen leaves of each section of road in the target area; determining an estimated falling range of fallen leaves of each section of road in the target area; determining a cleaning difficulty evaluation value of each section of road based on the estimated amount of fallen leaves and the estimated falling range; and determining a cleaning route based on the cleaning difficulty evaluation value.

Abstract: The embodiments of the present disclosure provide a method for optimizing performance indicators of smart gas, a smart gas Internet of Things (IoT) system, and a medium. The method may comprise obtaining at least one user need through the smart gas user platform based on the smart gas service platform; determining at least one optimization objective based on the at least one user need; determining a constraint that a target proportioning feature satisfies according to the at least one optimization objective; generating at least one candidate proportioning feature according to the constraint; performing at least one round of iterative processing on the at least one candidate proportioning feature, and determining the candidate proportioning feature and an evaluation value after each round of iteration until the evaluation value satisfies the constraint; and determining the candidate proportioning feature with the evaluation value satisfying the constraint as the target proportioning feature.

Abstract: An intelligent manufacturing industrial Internet of Things with a front split service platform for calibrating a binocular camera 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 for cleaning communal facilities in a smart city based on an Internet of Things.

Abstract: The present disclosure provides a method and a system for safety monitoring of gas facilities in a comprehensive pipeline gallery based on IoT, the method includes: obtaining first monitoring data of a gas cabin and second monitoring data of other cabins from at least one monitoring position combination; determining a joint risk of the one or more first monitoring positions based on the first monitoring data and the second monitoring data; determining a maintenance parameter and/or adjusting at least one monitoring parameter based on the joint risk; generating at least one adjustment instruction based on adjustment amount of the monitoring parameter, determining an adjustment priority of the at least one monitoring parameter based on a data uploading intensity of the gas cabin, sending the at least one adjustment instruction to the corresponding one or more first monitoring positions based on the adjustment priority sequentially.

Abstract: An industrial internet of things for determining a target automatic guided vehicle (AGV) path, a control method, and a storage medium are provided. The industrial internet of things comprises a service platform, a management platform and a sensor network platform which are connected in sequence. The management platform comprises: an obtaining module configured to obtain an AGV route layout of a target workshop through the sensor network platform, and generate a basic layout directed graph according to the AGV route layout; and a determination module configured to determine, based on the basic layout directed graph, an optimal AGV path through a second iteration approach; generate a target AGV path at least based on the optimal AGV path; and control an AGV to carry out material transportation according to the target AGV path, and send the target AGV path to the user platform for display to a user.

Abstract: The embodiment of the present disclosure provides a method for smart gas personalized feedback service and an Internet of things (IoT) system thereof. The method is implemented based on a smart gas management platform. The method includes: receiving a call message of a target customer through a call center, and a content of the call message being related to a gas business; determining a service category corresponding to the call message based on the call message, and determining a feedback mode; in response to the feedback mode being manual feedback, determining a target operator through the call center to feed back a call of the target customer; and in response to the feedback mode being automatic feedback, determining, using a knowledge map, a feedback content through the call center based on the service category corresponding to the call message, and sending the feedback content to the target customer.

Abstract: Provided are an IoT system and a method for intelligent gas emergency safety management. The IoT system comprises a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, and a gas equipment object platform, wherein the government safety supervision object platform includes a gas company management platform.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for data visual management of smart gas. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, and a smart gas object platform. The smart gas management platform transmits visualization data to a target platform for display. The method includes: determining abnormal data and an abnormal probability corresponding to the abnormal data through a pre-analysis model based on first sampling data, second sampling data, a data acquisition feature, and a data summary feature, the pre-analysis model being a machine learning model, and the pre-analysis model including a pre-processing layer and an analysis layer; generating second visualization data based on the abnormal data and the abnormal probability; and controlling the target platform to display the second visualization data.

Abstract: Disclosed is a method for smart control of a gas pipeline network data collection terminal. The method may include: receiving, based on a preset transmission cycle, gas data and environmental monitoring data; in response to determining that at least one of the gas data or the environmental monitoring data does not meet a first preset condition, generating a first adjustment parameter; sending the first adjustment parameter to one or more first associated gas pipeline network data collection terminals; predicting, based on the gas data and the environmental monitoring data, future environmental change data at a future time point for an environment in which the gas pipeline network data collection terminal is located; in response to determining that the future environmental change data does not meet a second preset condition, generating a second adjustment parameter; and sending the second adjustment parameter to the gas pipeline network data collection terminal.

Abstract: The present invention discloses an N-1 static security analysis method for integrated energy system, including the following steps: constructing a static model of the IES including electro-gas-thermal coupling elements, calculating multiple energy flow equations, and calculating the multiple energy flow of the IES to obtain an operating status of the IES; constructing a N-1 preconceived accident set, calculating multiple energy flow of the IES, and performing security verification to the status of the coupling elements in each preconceived accident set, respectively; analyzing the security verification results by comparing the results of static security analysis under different control modes, so that an N-1 static security analysis is achieved. The present invention fully researches the security of the IES, comprehensively considers the influence of the output changes of the coupling elements on the operating point of the energy system, and evaluates the security and stability of the IES.

Abstract: The present invention discloses an N-1 static security analysis method for integrated energy system, including the following steps: constructing a static model of the IES including electro-gas-thermal coupling elements, calculating multiple energy flow equations, and calculating the multiple energy flow of the IES to obtain an operating status of the IES; constructing a N-1 preconceived accident set, calculating multiple energy flow of the IES, and performing security verification to the status of the coupling elements in each preconceived accident set, respectively; analyzing the security verification results by comparing the results of static security analysis under different control modes, so that an N-1 static security analysis is achieved. The present invention fully researches the security of the IES, comprehensively considers the influence of the output changes of the coupling elements on the operating point of the energy system, and evaluates the security and stability of the IES.