Rocket drop point disaster analysis system

Abstract

The invention relates to the technical field of disaster prediction and analysis, in particular to a rocket drop point disaster analysis system. The system comprises a data preprocessing module, a data processing framework module, a machine learning technology module and a machine learning model module. The data preprocessing module is in communication connection with the data processing framework module, and the data processing framework module comprises a data acquisition module, a data dimensionalization module and a feature selection module; the machine learning technology module is in communication connection with the machine learning model module, and the machine learning model module comprises a rocket damage effect module, a ground value evaluation module and a rocket drop point comprehensive evaluation module. According to the method, a data processing method and a physical structure of the rocket drop point disaster analysis system are designed and optimized at the same time by using a data preprocessing technology and a machine learning model, the damage to the ground can be confirmed, the loss of ground property and the like after an event occurs can be evaluated, and the difference is small; and post-disaster assessment after the rocket wreckage falls to the ground can be carried out in real time.

Description

technical field [0001] The invention relates to the technical field of disaster prediction and analysis, in particular to a rocket landing disaster analysis system. Background technique [0002] During the recovery process of the rocket, real-time disaster assessment is carried out based on the current state of the rocket and the predicted landing point of the rocket, so as to carry out auxiliary security control. Scientists have conducted research based on the landing point of the CZ-2F rocket wreckage and applied it to the rocket recovery mission. [0003] Although the existing drop point analysis technology has avoided a large number of abnormal situations, it cannot perform post-event disaster assessment. The main problems and reasons can be summarized as follows: First, for small-probability out-of-control events such as rocket yaw, only safety control operations can be performed, and this operation cannot confirm the damage on the ground; Assess, the existing scheme ...

AI Technical Summary

Problems solved by technology

[0003] Although the existing drop point analysis technology has avoided a large number of abnormal situations, it cannot perform post-event disaster assessment

The main problems and reasons can be summarized as follows: First, for small-probability out-of-control events such as rocket yaw, only safety control operations can be performed, and this operation cannot confirm the damage on the ground; Assess, the existing scheme requires manpower cost to estimate, the difference is large, and the subjectivity is strong; the third is that due to the uncertainty of the rocket in the air and the change of the ground information of the landing point, it is impossible to predict the degree of damage after the event in real time

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