基于PLC的机舱报警监控系统的设计与故障诊断分析

AbstractThe nacelle alarm monitoring system is an important part of ship automation.It canaccurately and accurately reflect the operating status of various power equipment,controlequipment and electrical equipment in the nacelle.As long as the system detects that themonitored equipment has malfunctioned or is abnormal,the system will trigger The alarmmechanism activates sound and light alarms and informs other duty cabins by extending thealarm board.All alarm conditions are recorded and printed out.The system will monitor theparameter status of various monitoring points in the cabin in real time.The relevantoperation information will be displayed on each monitoring screen,so that the operator canclearly understand the real-time operating status of the ship.These displays are usuallyplaced in a central control room or an extended alarm panel.Considering the backwardnessof our country's relevant technologies in the current large environment,after reading theliterature on the cabin monitoring system of the relevant ship,this paper will design a set ofship cabin alarm monitoring systems that are feasible and meet relevant regulationsThe thesis first introduces the background and significance of the cabin alarmmonitoring system,combines the basic functions and design requirements of the systemitself,elaborates the research status of the system at home and abroad,and gives the overalldesign plan.The lower computer of the system adopts Siemens S7-400 as the controller,inwhich data acquisition and PLC CPU module use PROFIBUS communication between thehost computer and the PLC module using industrial Ethernet to achieve data sharing.Theprogramming software uses Step-7 software developed by Siemens to realize the hardwareconfiguration and the creation of the network structure.The programming language adoptsthe ladder language method,which is easy to understand and straightforward.The wholesystem adopts a modular programming concept and involves OBs.Modules,DB modules,FB modules,and FC modules.After the system is designed,a new fault diagnosis system based on neural networkalgorithm will be designed from the theoretical point of view.This part will study the modelstructure,parameter setting,training function of BP network algorithm,RBF networkalgorithm and ELMAN network algorithm in detail as well as the respective advantages anddisadvantages of each function.The fault diagnosis object is the ship supercharging system.The network model is trained by fitting the historical data,and the collected data is used asIII