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Research On Remote Fault Detection System Of Crusher Based On Gizwits Cloud Platform

Posted on:2021-04-20Degree:MasterType:Thesis
Country:ChinaCandidate:J L HouFull Text:PDF
GTID:2393330629982862Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of animal husbandry,the demand for livestock feed has increased significantly,and feed production machinery has been widely used.Due to the relatively poor production environment of the feed production unit,failures will inevitably occur during operation.If the failure cause cannot be detected in a timely manner and the equipment is repaired in a timely manner,it will bring greater economic losses to the enterprise.It will bring unpredictable risks to enterprise production personnel.The realization of remote automatic fault detection of feed machinery has important practical significance for the safe production of feed enterprises and the improvement of production efficiency.In this paper,the pulverizer,an important component of the feed unit,is taken as the research object.After the sufficient investigation of the feed production plant,a real-time fault detection system for the pulverizer based on the intelligent cloud platform is designed.The main components of the system are fault diagnosis terminal,cloud platform,upper computer software and smartphone APP.The fault detection terminal adopts STM32F103VET6 as the main control chip,and realizes the detection and transmission of electrical signals,vibration signals and temperature and humidity signals generated during the operation of the crusher by combining with sensor components and ESP8266 chip.The cloud is based on the intelligent cloud server and combines with the fault detection terminal to build the intelligent cloud terminal server for the fault types of crusher.Based on the cloud communication protocol,the information interaction between the intelligent cloud terminal and the fault detection terminal is realized.The interface of upper computer adopts LabVIEW and C language joint programming,which not only carries on the deployment and development of visual interface,but also USES the C language transplantation wavelet algorithm to realize the analysis and diagnosis of fault causes.The development of mobile APP is based on Android Studio software,and a mobile application software that can interact with the cloud monitoring platform of fault detection system of pulverizer is designed and developed in combination with the intelligent cloud terminal.The software can interact and control the information of fault detection terminal through WiFi.In order to test the functions of the real-time fault detection system of the pulverizer,the hardware platform was built in this paper,and the operation test was carried out in zhengda feed company,a subsidiary of hexie group.When running,connect the fault detection terminal to the intelligent cloud platform to test whether the mobile APP can interact with the fault detection terminal;Connect the upper computer to detect whether the fault detection system of the crusher can give real-time alarm to the fault of the crusher,and accurately judge the cause and type of the fault.After the test is completed,download the test data and conduct statistical analysis.The test results show that the fault detection system of the pulverizer can realize the real-time alarm of the fault and accurately judge the cause of the fault according to the detected real-time signal.The cloud service is accurate and timely,with high reliability,and meets the requirements of the project.The fault diagnosis system design of pulverizer based on intelligent cloud platform combines cloud platform technology,embedded technology,mobile APP design technology and fault detection technology.Compared with the existing fault detection technology,it has significant advantages in technology and has extremely high practicability.
Keywords/Search Tags:Crusher, Fault detection, Embedded, Cloud platform, Wavelet algorithm, PC, The APP
PDF Full Text Request
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