Design And Implementation Of The Device Fault Monitoring System Based On Big Data

Along with the increasing of using time,Industrial equipments and machines will have irreversible damage which is called deterioration of working conditions.Due to the different use environment and frequency of equipment in different occasions,the time and degree of deterioration cannot be accurately determined.This uncertainty has caused great hidden danger to production line and indirectly affected the economic benefits of the enterprise.With the development of big data,as well as the breakthrough and update of Internet of things technology,industrial intelligent solution to traditional problems has gradually become a breakthrough in industrial development and a key to open a new direction.Using big data analysis technology and machine learning to predict the working conditions of industrial equipment has become a novel and feasible way.It is of great significance to explore this possibility and its application effect.In view of the above background and purpose,the equipment fault monitoring system based on big data is designed.The user can import the external data set,preprocess the data,make it available for use as a training set,select the specific algorithm to generate the model,and finally use the generated model to test the test data.Finally it achieves the monitoring effect.This system is developed and implemented according to the process of software engineering.Through the analysis of the requirements of the system,the functions of the system are defined,the structure chart of the functional modules is drawn through the Visio,and the overall structure chart of the system is given.According to the architecture diagram,the system database outline design and database table design are completed.According to the results of requirement analysis and design,a web system named the device fault monitoring system based on big data is programmed.After scientific and targeted system test,the system can operate normally and all modules can work together,and the system completes the whole demand process of the device fault monitoring system.All in all,the system has completed the requirements of customers.Compared with the traditional manual detection method,the system can not only help enterprises to find problems and locate equipment as soon as possible,but also greatly reduce the human cost of the enterprise。And it greatly improves the efficiency and accuracy of industrial equipment monitoring work,thus improving the economic efficiency.