Hydraulic support straightening method based on dynamic programming algorithm fused with BP neural network

• Main Authors: RAN QI, LU JINBO, TAN KUNYU
• Format: Patent
• Language: Chinese; English
• Published: 22.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a hydraulic support straightening method based on a dynamic programming algorithm fused with a BP neural network, and relates to the technical field of coal mine underground fully mechanized coal mining face automation. The hydraulic support straightening method based on the dynamic programming algorithm fused with the BP neural network comprises the following steps that 1, discrete data of an underground coal mine are collected; 2, data preprocessing is carried out, and data conforming to the stroke of the hydraulic support are searched; step 3, utilizing a dynamic programming algorithm to solve the problems of data loss, insufficient accuracy and the like, and realizing hydraulic support stroke data alignment; and 4, establishing a BP neural network to establish an optimal model, and realizing a hydraulic support straightening function. According to the method, the problem of loss of coal mine underground collected data is solved in combination with a dynamic programming algorithm, a