Real-time price monitoring method and system based on big data

Abstract

The invention discloses a real-time price monitoring method and system based on big data, and relates to the technical field of artificial intelligence and databases, and the method comprises the steps: carrying out the automatic matching of the same type of commodities in a plurality of platforms, so as to obtain the same type of commodities on at least two platforms; secondly, the matching result is stored in a standard document, all the commodities of the same type in the matching result are classified into a plurality of subclasses set under the commodity price change index, and then abnormity monitoring is conducted on the commodities in the standard document so as to determine commodity data in an abnormal state; next, removing commodity data of the target commodity in the abnormal state in the standard document, and generating commodity price change indexes of the target subclass under different cycle granularities according to commodity data of remaining commodities in the standard document and the target subclass to which the same type of commodities belong, therefore, a resident consumption price index real-time monitoring and generating scheme based on Internet online data is realized.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and databases, in particular to a method and system for real-time monitoring of prices based on big data. Background technique [0002] The existing price monitoring is mainly through the mobilization of a large number of grassroots investigators by the Bureau of Statistics to collect prices at fixed points (such as shopping malls) at regular intervals (such as the 5th or 15th of each month), and report and summarize them step by step through counties, cities, provinces, and the country. Then the price index (such as Consumer Price Index, Consumer Price Index, CPI) is obtained through data aggregation. At present, the Bureau of Statistics releases the price index of the previous month in the middle of each month, and the data granularity is monthly. Objectively, the price is constantly changing every day and every hour. Since the offline statistical investigation process takes a ...

AI Technical Summary

Problems solved by technology

Objectively, the price is constantly changing every day and every hour. Since the offline statistical survey process takes a lot of time and human and material costs, the existing technology is only aimed at the traditional method, without combining online price big data, and cannot collect and process the data in real time. , has not yet solved the problem of real-time monitoring of prices

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