Research Of Fire Road Decision Algorithm Of Ship Hull Plate Forming

Ship hull plate forming by forming technology, line thermoforming process and other processes of steel commonly used in modern shipbuilding. Due to a very low degree of automation, these complex processes still rely on manual is complete, technology and quality of experience working mainly affect workers. In the current generation method, there are a lot of drawbacks, one is to generate very inefficient, require a lot of labor to achieve large-scale production; the second is the quality control difficult, larger mass fluctuations, different models can not be guaranteed, and even the same type of vessel stability and consistency of production quality.Resulting in a very low degree of automation currently have objective reasons exist under the current limitations of technology and processes, automate a lot of difficulties. Mainly in the steel processing curvature greater unity to generate the type of difficult, time-consuming production of a long, slow process of deformation, deformation difficult statistical information, environmental factors complex features state fire workers forming a complex of different parameter types, and complex process environment.Existing line heating system for automated processing processing has been greatly developed, can solve some of the less complex sheet metal forming process automation, or be able to solve the line heating process part of the process. The current automated processing system consists of three parts, namely the different stages of the process of realization. The three parts are:to achieve collection plate to be processed 3D scanning point cloud coordinate data detection system, to achieve multi-axis motion flame gun and gun instruction movement control system, fire road planning decisions expert systems. Motion detection system and automation system enables processing systems, expert systems and intelligent processing system.This paper studies the core content of the expert system, ie fire road planning and decision making. Domestic and foreign studies have addressed the issue of process and modeling of line heating, the small curvature of the road and do not fire steel complex decision problems, decision-making is still way for the fire has not been well addressed in this article is not aimed at solving the above problems depth research and software to achieve large curvature of steel forming intelligent processing.The main work is done:(1) a comprehensive analysis of the domestic and foreign ship hull plate forming process, surface fitting, process parameters, mathematical modeling, research and application of fire road algorithms and machine learning algorithms in the field of engineering. Some constraint condition (2) research ship hull plate making, as the boundary factor modeling; according to different types of plates, each plate of the saddle and the sail-shaped plate boundary restrictions have been studied at the same time limit for heating the tool itself factors were studied; (3) study the same coordinate system heating, heating deformation parameters for steel generated by mathematical modeling, there are certain rules of mathematics makes the link between input and output. (4) The large fire road curvature plate decision problem; lateral fire road type, vertical type fire road in-depth detailed study to solve the accurate three-dimensional position of the fire road decision problem (6) Finally, to study the system software framework, the completion these functions, through experiments, to solve this problem to be solved.The topic of the problem: the analysis of the heating plate deformation factor mathematical model; restriction analysis heating constraint factor; analysis on the basis of the heating and deformation model, generate fire road location data based on the target plate data to be processed and scanned data sheet achieve decision-making process of the data processing system to improve the intelligence, processing efficiency and stability of quality, for the shipbuilding industry to enhance manufacturing capability has a positive role in promoting.