Prediction method and device based on event network and electronic equipment

Abstract

The invention provides a prediction method and device based on an event network and electronic equipment. The method comprises the steps: obtaining service activity data in any service scene; inputting the service activity data into a service model established based on an event network to trigger the service model to simulate a service scene, wherein the event network is compatible with a discrete mode and a continuous mode, and the service model established based on the event network comprises a logical relationship among service nodes in the service scene and a sequential relationship of event occurrence; according to the process of simulating the service scene according to the logical relationship among the service nodes under the service model and the time sequence relationship of the event occurrence, establishing a touch graph, predicting the event under the service scene, the touch graph being a directed network structure and being used for describing the development direction and the causal relationship of the event. According to the invention, the event network is compatible with the continuous mode, the continuous event can be effectively expressed, the service scene can be truly restored, and the prediction accuracy is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an event network-based prediction method, device and electronic equipment. Background technique [0002] Prediction refers to the prediction of things that may occur in the process of work and the results of work before work. The prediction of risk events can enable decision makers to make decisions in advance, thereby effectively avoiding risk events. In related technologies, Petri Net is generally used to model the researched business scenarios and perform risk prediction based on the modeling, but Petri Net is a mathematical representation of discrete parallel systems, which is suitable for describing asynchronous and concurrent computer system models. Discrete event dynamic systems such as Petri Net are dynamic systems triggered by asynchronous and sudden events, which cannot be effectively expressed for continuous events / continuous input. Therefore, when predictin...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides an event network-based prediction method, device and electronic equipment to solve the defect of poor prediction accuracy in the prior art

Images