Application of TSDB in civil aircraft industry

2022 year 05 month 14 Japan , The first domestic aircraft will be delivered to China Eastern Airlines C919 The first flight test of the large aircraft was successfully completed , Over the years, the Chinese dream of flying has taken another step . In fact, before the aircraft is put into service , It is very important to conduct flight test and collect flight data , So this issue Jesse Just want to talk Application of time series database in civil aircraft test flight .

This article only represents personal views , If there is bias , Please ask Hai Han. ～

Application of time series database in civil aircraft industry

How high is the safety factor of a new plane ？ Whether the performance is consistent with the initial design ？ What needs to be improved ？ We can find the relevant answers with the help of a wealth of ground tests , But the final proof still depends on the test flight . For civil aircraft manufacturers, test flight is a core capability , Whether Boeing or Airbus , The world's aviation manufacturing giants have spent a huge price to build a professional flight test team . such as , The well-known Boeing company 737MAX Aircraft grounding incident , Only during the grounding period, Boeing carried out a close 500 Flight test , It can be seen that the test flight is of great significance to the civil aircraft industry . During the flight test, the data increased dramatically , The industry's storage of massive data 、 The demand for query and monitoring is also increasing .

Flight test data is suitable for TSDB Storage

Flight test data are flight parameters , Such as speed 、 Height 、 Time history of engine speed, etc . in fact , There are strict restrictions on aircraft flight , It is called flight envelope in the industry （ Here's the picture ）. If you cross these envelope limits , The plane may lose control , Thus causing disastrous consequences . The main task of the test flight is to explore the boundary of the red line , Is to approach or even break through this curve .

 

source ： aviation industry

 

Flight test data has a high demand for disk storage space . Its parameter points can reach tens of thousands , A test flight will process hundreds of thousands of data , And the data center will receive and process millions of orders of magnitude . meanwhile , Flight test data also has high requirements for query . Because it will provide retrieval for the business department 、 monitor 、 Management data support , High real-time requirement , The sampling period frequency is generally in the order of milliseconds . therefore , Only through high write 、 Only time series databases with high compression ratio and fast query ability can meet the requirements of their scenarios .

be based on TSDB Monitoring application of

In the application of flight test , If we use the traditional relational database to draw the trend curve , The sampling period is generally at least 1 minute , Such a sampling period is too long , The precision of millisecond sampling period is too low for civil aviation test flight , It is not conducive to data research and analysis . As a matter of fact , The data acquisition and storage cycle in flight test is generally at least 1 second , It can be even shorter , The sampling frequency is generally at 8Hz above , There are tens of thousands of sampling parameters . If we take 9 Ten thousand parameters as an example , Sampling frequency for each parameter 50Hz, The data storage capacity per second will reach ：9 ten thousand ×50×1=4,500,000 spot , With the increase of flight time , The amount of data it generates is massive , And the database must also have allowance design . Faced with such a high demand for massive data storage , And such a high sampling frequency , In order to meet the high density 、 High precision monitoring requirements , Now look at TSDB It is the best choice for flight test monitoring storage . The monitoring trend curve formed is not only smooth and beautiful , It can more completely reflect the real-time changes of data , It is also conducive to subsequent research and data analysis .

 

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