LNG purchase prediction method and system based on Internet of Things

Abstract

The invention discloses an LNG purchase prediction method and system based on the Internet of Things. The method comprises the following steps: obtaining consumer storage allowance, storage use consumption rate and supplier data through an LNG data obtaining unit; uploading the data acquired by the LNG data acquisition unit to an LNG data analysis unit through an LNG data transmission unit; the LNG data analysis unit constructs an LNG big data analysis platform through the Internet of Things and a big data processing technology, and provides LNG purchase prediction and LNG transaction data support for the operator service unit; the operator service unit predicts consumer storage and supplier reserve station purchase plans, and dispatches transport vehicles to carry out LNG resource transport and transaction; and the operator user unit monitors the whole LNG purchasing process in real time. According to the invention, an optimal LNG energy purchasing scheme can be provided for an operator, the accuracy of LNG energy purchasing plan prediction is ensured, and the business risk of supply interruption is effectively solved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method and system for predicting LNG procurement based on the Internet of Things. Background technique [0002] Natural gas refers to the flammable gas contained in the formation, mainly a mixture of low-molecular-weight alkanes, which can be divided into dry natural gas and wet natural gas. The dry gas is mainly composed of methane. more ethane, propane and butane etc. However, there are still a large number of remote suburban counties, mountainous areas, rural areas and other economically underdeveloped areas and areas with insufficient pipeline radiation, where natural gas with obvious advantages, safety and cleanliness cannot be used for life and work. However, the gas markets in suburban counties, mountainous areas, and rural areas are potential markets for urban gas. The energy supply in these areas is an inseparable part of the country's entire energy sys...

AI Technical Summary

Problems solved by technology

With the rapid development of the LNG energy market, corresponding problems have become increasingly prominent: due to the low accuracy of LNG energy procurement forecasts, it often leads to business risks of supply interruptions. At the same time, due to inaccurate procurement forecasts, it is easy to cause LNG energy Scheduling confusion, increasing operating costs

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