Information extraction method and device of Internet of Vehicles, and readable medium

Abstract

The embodiment of the invention provides an information extraction method and device of the Internet of Vehicles and a readable medium. The information extraction method of the Internet of Vehicles comprises the following steps: acquiring information of a component field in a driving area composite field of a vehicle, and determining a field function of the driving area composite field based on the information of the component field; sampling the information of the component field to obtain sampling data; and based on the field function and the sampling data, determining frequency spectrum information corresponding to the sampling data, and extracting abnormal information from the sampling data according to the frequency spectrum information so as to carry out traffic early warning on vehicles in the Internet of Vehicles. According to the technical scheme provided by the embodiment of the invention, abnormal information in the driving area composite field is extracted based on the frequency spectrum information of the sampling data, so that the accuracy of data acquisition is improved, and the completeness of the acquired data is ensured at the same time.

Description

[0001] This application is a divisional application of Chinese patent application CN201911129669.X, which was filed on November 18, 2019, and is entitled "Method and Device for Information Extraction of Internet of Vehicles". technical field [0002] The present application relates to the field of computer and communication technologies, and in particular, to an information extraction method, device and readable medium for the Internet of Vehicles. Background technique [0003] In the monitoring process of many compound fields, the prior art often monitors a single component field, and collects the data of the single component field for analysis to obtain the analysis results of all the compound fields. However, in practical applications, if one component field in the compound field changes, other component fields are often triggered to change along with it. Therefore, the desired information may not be extracted from only one component field, or the extracted information ma...

AI Technical Summary

Problems solved by technology

However, in practical applications, if one component field in the composite field changes, it often triggers other component fields to change accordingly.

Therefore, the desired information may not be extracted from only one component field, or the extracted information may be incomplete, resulting in one-sided data acquisition, which in turn affects the analysis results of the entire composite field

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