Patent ID: 11935000
Assignee: CHENGDU PUHUIDAO SMART ENERGY TECHNOLOGY CO., LTD.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for liquefied natural gas (LNG) management linked with warehousing, transportation, and a smart terminal, wherein the method comprises:
step 1: collecting data including LNG warehousing data, transportation data, and smart terminal data, and transmitting the data to a management platform through a communication network;
step 2: storing all received data in a corresponding server database after preprocessing, and managing the server database through a virtualization technology by the management platform;
step 201: classifying the data and setting classification marks when the management platform receives the data, wherein the data is classified into perception information and control information, and the perception information includes warehousing perception information, transportation vehicle perception information, and smart terminal perception information;
step 202: storing classified data in a cache, storing the classified data in a master database, and obtaining a geographical location information mark included in the classified data of the cache at a same time, and storing the classified data regionally in different server slave databases according to a regional division of operators; and
step 203: reading real-time data from the cache, analyzing the real-time data, and then building a virtual pipeline network on a map by the management platform with an LNG warehousing station as a starting node, the smart terminal as a terminal node, and a transportation route of a transportation vehicle as an edge;
step 3: monitoring an LNG usage situation, a warehousing situation, and a transportation situation in real-time through the management platform, and displaying information corresponding to a user permission in a user platform; and
step 4: sending control information of LNG usage requirements, fee payments, procurement management, and transportation deployment by users through the user platform, and sending the control information to the warehousing station, the transportation vehicle, and the smart terminal through the management platform to realize real-time LNG management;
step 5: obtaining LNG warehousing and transportation information and LNG parameters;
determining at least one candidate transportation scheme based on the LNG warehousing and transportation information and the LNG parameters, wherein the candidate transportation scheme includes a location of the warehousing station for supplying LNG, a required LNG transportation amount, an LNG transportation time, a location of the smart terminal, and at least one candidate transportation route;
determining a target transportation scheme based on the at least one candidate transportation scheme;
combining the LNG parameters, environmental data, and traffic data to predict an LNG vaporization situation based on a vaporization model, wherein the LNG vaporization situation includes an LNG vaporization speed, a volume ratio of a vaporized part to a remaining LNG, a gas pressure, an LNG vaporization amount of at least one future time point, and the vaporization model is a machine learning model;
predicting a pressure change value of an LNG storage device based on the LNG vaporization amount of at least one future time point; and
in response to the pressure change value exceeding a pressure change threshold, determining an updated transportation scheme.