LNG industrial chain comprehensive management system based on big data

Abstract

The invention discloses an LNG industrial chain integrated management system based on big data, and relates to the technical field of LNG management. The system comprises an LNG energy server which is used for carrying out LNG energy data collection, data storage, data access and data analysis; a data monitoring management end which is used for accessing the LNG energy service end to extract data information, predicting the gas consumption trend of the LNG energy, providing networked transport capacity scheduling for transportation, and predicting stock information at the same time; a distribution management end which is used for accessing the data monitoring management end to carry out tank car dispatching management; and an operation and maintenance server which is used for carrying out operation and maintenance service support. On the basis of big data, gas consumption monitoring, plan prediction, transportation and distribution and the like are carried out, the plan prediction accuracy is expected to be improved, the integration degree of informatization data is enhanced, the accuracy of a logistics distribution link is improved, intelligent and real-time monitoring and allocation of an LNG industry chain city are achieved, and manpower and time are saved.

Description

technical field [0001] The invention relates to the technical field of LNG management, in particular to a comprehensive management system of the LNG industry chain based on big data. Background technique [0002] LNG refers to liquefied natural gas. After natural gas is purified (removing impurities such as CO2, sulfide, heavy hydrocarbons, and water), it is cryogenically cooled to -162°C under normal pressure, and changes from gaseous state to liquid state; the volume of liquefied natural gas is about The volume of natural gas of the same quality is 1 / 620, and the weight is about 45% of the same volume of water. After liquefied, natural gas can greatly save storage and transportation space, and has the characteristics of large calorific value and high performance. It is a clean and efficient energy source. It is used in many fields of production and life. [0003] At present, the LNG energy market has been greatly developed in the market, and the LNG energy consumption has...

AI Technical Summary

Problems solved by technology

[0005] 1. Poor accuracy of plan prediction: due to the lack of necessary algorithm basis, the plan accuracy rate of city gas is generally about 80%, that of vehicle gas is about 70%, and that of other types of plans is about 80%, resulting in Due to inaccurate planning, the entire industry has caused business risks such as crushing vehicles and supply interruptions

[0006] 2. Scattered information and lack of monitoring: The informatization level of gas consumption data and logistics information in the entire industry is generally not high, making it difficult to effectively plan, arrange and track management of the entire process of energy procurement and transportation

[0007] 3. Poor stability of LNG transportation capacity: Compared with pipeline gas, LNG transportation mode has relatively large deficiencies in terms of unit operation efficiency, logistics guarantee, in-transit safety, planning accuracy, etc., and it is also the biggest bottleneck in the development of the entire energy product

However, it still has certain limitations, and not only has poor adaptability, but also has relatively single functionality, which cannot meet the needs of different customers, and the management of the LNG industry chain is relatively one-sided

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