Cluster detection equalization scheduling method considering state transition

Abstract

The invention relates to a cluster detection equalization scheduling method considering state transition. The method comprises the following steps of: 1, constructing a cluster aero-engine fault detection problem description model; 2, predicting a cluster arrival condition in a next scheduling period, namely a corresponding aero-engine fault detection task demand condition; 3, evaluating the state transition trend of the system according to the current detection task demand and the prediction condition of the system and the detection resources and the load state of the detection resources; 4, aiming at different state transition trends, configuring an equalization scheduling target, and generating a cluster aero-engine fault detection equalization scheduling optimization problem model; and 5, outputting a cluster aero-engine fault detection equalization scheduling scheme. According to the invention, by predicting the state transition trend of the cluster aero-engine fault detection system, the homeopathic configuration of the system state equalization scheduling target is realized, the task delay rate can be reduced, and the emergency response capability of the system can be improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent scheduling for aero-engine fleet fault detection tasks, and in particular relates to a balanced scheduling method for fleet detection considering state transition. Background technique [0002] Driven by a new generation of detection technology and artificial intelligence technology, the fault detection of aero-engines has developed from the original artificial hole detection to an intelligent and mechanized fault detection method dominated by aero-engine fault detection automation equipment. In aero-engine fault detection equipment resources, fault detection is usually carried out in a combined and collaborative manner, and visual inspection of aero-engine turbine blades, combustion chambers and other parts is carried out. schedule. [0003] The traditional scheduling method is mainly based on a single scheduling environment. However, when the arrival time of the fleet is uncertain, the arri...

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Problems solved by technology

[0003] The traditional scheduling method is mainly based on a single scheduling environment. However, in the case of uncertain fleet arrival time, uncertain arrival frequency of fleet engine fault detection tasks, uncertain fleet fault scale, and complex and changeable comprehensive state of the fault detection system, the traditional scheduling method The method cannot adapt to the changing scenario of the scheduling system state

The fleet fault detection system cannot achieve the goal of long-term equalization of the system state, which will lead to weak emergency response capabilities of the system and a low rate of task completion on time. Traditional scheduling methods are not suitable for aero-engine fault detection scenarios with uncertain conditions.

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