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: 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: 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: 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.