Abstract: The present disclosure discloses a method and an Internet of Things system for liquefied natural gas (LNG) management linked with warehousing, transportation, and a smart terminal.

Abstract: The present disclosure discloses a method for liquefied natural gas (LNG) station management and an Internet of Things system. The method includes: acquiring historical gas filling data of a gas station based on a preset acquiring time; determining LNG demand data at at least one future moment and a predicted confidence level of the LNG demand data based on the historical gas filling data through a prediction model; determining a reliable moment based on the predicted confidence level; determining at least one set of candidate delivery plans based on the LNG demand data and LNG storage data; and determining a target delivery plan based on at least one piece of gas filling cost data of the at least one set of candidate delivery plans and the reliable moment.

Abstract: The present disclosure discloses a method for method for parameter adjustment of a liquefied natural gas (LNG) distributed terminal based on Internet of Things and a system. The method includes: based on at least one transmission node on a transmission link, obtaining terminal information of at least one set of terminals and transmission status information of the at least one transmission node; in response to the transmission status information satisfying a preset status condition, predicting a malfunction risk coefficient of the at least one set of terminals at at least one set of future time points; and based on the malfunction risk coefficient and in combination with a device parameter of the at least one set of terminals, judging whether to adjust a control parameter of the at least one set of terminals in advance.

Abstract: The present disclosure discloses a method for managing liquefied natural gas (LNG) tanking safety based on location matching and an Internet of Things system. The method includes that an intelligent terminal perceives and acquires terminal operation information, generates a request for tanking, and sends the request to a management platform; the management platform obtains vehicle information of an LNG tanker after receiving the request, generates a task plan for tanking and sends the task plan to the LNG tanker and the intelligent terminal respectively; the LNG tanker drives to a location of the terminal according to the task plan, and the management platform performs real-time tracking and monitoring on a driving path of the LNG tanker; the LNG tanker completes a two-way location matching authentication with the intelligent terminal through the management platform after arriving at the location of the terminal and performs tanking for the LNG distributed energy intelligent terminal.

Abstract: The present disclosure discloses a method for monitoring operation of liquefied natural gas (LNG) storage, comprising: acquiring operating data of an LNG storage device, physical and chemical parameters of LNG and historical pressure change data in the LNG storage device; determining pseudo data information based on the historical pressure change data; determining at least one set of pressure change data at at least one future time point through a pressure model based on the operating data, the physical and chemical parameters, the historical pressure change data, and the pseudo data information, wherein the pressure model is a machine learning model, the pressure model includes a feature extracting layer and a pressure layer; and determining a pressure adjusting time point and preparing for a pressure adjustment based on the at least one set of pressure change data at the at least one future time point.

Abstract: The present disclosure discloses a method for managing liquefied natural gas (LNG) tanking safety based on location matching and an Internet of Things system. The method includes that an intelligent terminal perceives and acquires terminal operation information, generates a request for tanking, and sends the request to a management platform; the management platform obtains vehicle information of an LNG tanker after receiving the request, generates a task plan for tanking and sends the task plan to the LNG tanker and the intelligent terminal respectively; the LNG tanker drives to a location of the terminal according to the task plan, and the management platform performs real-time tracking and monitoring on a driving path of the LNG tanker; the LNG tanker completes a two-way location matching authentication with the intelligent terminal through the management platform after arriving at the location of the terminal and performs tanking for the LNG distributed energy intelligent terminal.

Abstract: The present disclosure discloses a method for monitoring distributed energy storage safety and an Internet of Things system. The method includes utilizing a data acquiring unit to monitor operating data on a liquefied natural gas (LNG) storage device and transmitting the operating data to an LNG distributed energy management platform; the management platform determining abnormal data in the perception information according to an anomaly judgment condition and performing a pseudo data verification and labeling on the abnormal perception information; performing an anomaly prediction analysis according to an early warning mechanism; sending an alarm prompt to field maintenance personnel according to the abnormal data; and the field maintenance personnel performing a two-way confirmation with the management platform after processing.

Abstract: The present disclosure discloses a method and a system for managing LNG distributed terminal based on IoT.

Abstract: The present disclosure discloses a method and a system for managing LNG distributed terminal based on IoT.

Abstract: The present disclosure discloses a method and an Internet of Things system for liquefied natural gas (LNG) management linked with warehousing, transportation, and a smart terminal.

Abstract: The present disclosure discloses a method for monitoring distributed energy storage safety and an Internet of Things system. The method includes utilizing a data acquiring unit to monitor operating data on a liquefied natural gas (LNG) storage device and transmitting the operating data to an LNG distributed energy management platform; the management platform determining abnormal data in the perception information according to an anomaly judgment condition and performing a pseudo data verification and labeling on the abnormal perception information; performing an anomaly prediction analysis according to an early warning mechanism; sending an alarm prompt to field maintenance personnel according to the abnormal data; and the field maintenance personnel performing a two-way confirmation with the management platform after processing.

Abstract: The embodiments of the present disclosure provide a method, an Internet of Things system, and a medium for dynamically adjusting LNG storage based on big data. The method includes: setting up LNG intelligent gas supply terminals at user gas supply points to collect LNG storage volume; real-time monitoring and collecting storage volume data; importing the geographical location information of LNG storage stations and LNG intelligent gas supply terminals into a GIS map, and forming a virtual pipeline network for LNG supply on the map according to the relationships of geographical locations; dividing supply areas with LNG storage stations as the centers; and obtaining the total amount of consumption, consumption peaks, consumption troughs, consumption rates, and the remaining storage amount of LNG in different supply areas using statistical analysis to form LNG storage strategies.

Abstract: The present disclosure provides a method for a safety inspection of an LNG distributed energy smart terminal, an Internet of Things (IoT) system, and a storage medium.