Internet of vehicles service data processing method and device, electronic equipment and storage medium

Abstract

The invention provides an Internet of Vehicles service data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting Internet of Vehicles service data; determining the type of a rule engine for processing the Internet of Vehicles service data, and determining a target format of an expression corresponding to the rule engine according to the type of the rule engine; converting a rule corresponding to the Internet of Vehicles service data into an expression in a target format; and sending the expression of the target format to a rule engine, so that the rule engine processes the Internet of Vehicles service data through the expression of the target format, and providing the expression of the target format for the rule engine of the corresponding type for processing the Internet of Vehicles service data according to the change of the Internet of Vehicles service data. Therefore, the requirements of different types of rule engines are met. Moreover, the rule engine can dynamically load and dynamically analyze the expression of the target format, and execute corresponding actions when the Internet of Vehicles service data conforms to the rule, so that the Internet of Vehicles service data can be processed more flexibly and efficiently.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device, electronic device and storage medium for processing Internet of Vehicles business data. Background technique [0002] At present, artificial intelligence (AI) technology has been widely applied to vehicles. It can use machine learning to build algorithms and models to provide users with suggestions, and use a rule engine to help users make reasonable decisions for specific business scenarios. However, the rules for processing business data in existing rule engines are all set and loaded uniformly by the rule engine. When the business scenario changes, it is impossible to provide an applicable format for the corresponding rule engine according to the change of the business scenario. If the rules of the new business scenario are implemented through coding, it will cause a lot of duplication of work. Moreover, the existing rule engine also ...

AI Technical Summary

Problems solved by technology

However, the rules for processing business data in existing rule engines are all set and loaded uniformly by the rule engine. When the business scenario changes, it is impossible to provide an applicable format for the corresponding rule engine according to the change of the business scenario. If the rules of the new business scenario are implemented through coding, it will cause a lot of repetitive work

Moreover, the existing rule engine also supports some simple data forwarding routing policy rules reported by Internet of things (IOT) devices, and the implemented rules are relatively simple.

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