HINOC Visual Monitoring System Design

HINOC technology is one of the key technologies of the next generation broadcast television network(NGB)with China's independent intellectual property rights.After more than ten years of cutting-edge technology accumulation and key technologies,HINOC technology has formed industry standards and international standards with independent intellectual property rights.With the maturity of HINOC technology,HINOC equipment is deployed in large numbers around the country.The dramatic increase in the scale of deployment has made it increasingly difficult to monitor and maintain the day-to-day operations of equipment.The problems of complex operation of traditional network management systems,high requirements for hardware environments,and single form of data display have become more and more prominent.The daily operation of HINOC equipment generates a large amount of log data,which is of great value for optimizing the system and adjusting the bandwidth allocation strategy.However,as these data types and scales increase,more and more data cannot be reasonably stored,and cannot be analyzed and interpreted in a timely and effective manner,resulting in waste of data value.Based on the above background,this thesis considers all the above problems.Based on the principle of visualization,the daily operation data of HINOC equipment is displayed in the form of a graph to help users understand the operation status of the equipment in a timely and intuitive manner,thus designing and developing the HINOC visual monitoring system.The system introduces big data and intelligent technology to store the historical running data of the device reasonably.The data is analyzed to evaluate the running status of the device,discover faulty devices in time,shorten the fault recovery time,and improve the user experience.This thesis mainly constructs HINOC visual monitoring system from the aspects of research background,demand analysis,system detailed implementation and system testing.In this paper,the HINOC visual monitoring system is divided into three modules: data acquisition,data storage and data visualization.The data acquisition and data storage modules are implemented by Kafka distributed message system.The Kafka system supports both streaming and batch processing,which facilitates real-time monitoring of data and storage of historical data in the system.The InfluxDB time series database is used to store the historical running data of the device.The front-end visualization page is implemented using a combination of Vue progressive framework and ECharts chart display technology.Finally,the performance and function of the whole system were tested.The test results show that all functions meet the expected requirements of the project.