What kind of information can be assumed from sensor accuracy graph

I'm using a MS5803-15BA (datasheet) to make pressure measurements. The datasheet contains this graph of pressure error vs. pressure at page 17.

The datasheet also specifies on page 1 that the accuracy when reading from 0 to 6 bar and operating from 0°C to +40°C is +- 20 mbar.

1) Does this means that if I'm using the sensor at 25°C, to read a pressure of around 4000 mbar, my reading will be something close to 10 mbar more than the real value? Or if I'm using the sensor to read a pressure around 12000 mbar also at 25°C, my reading should be corrected to 40 mbar more than observed pressure?

2) If this is the case, will it worth to make a script that uses the information in this graph to compensate the reading and yield a more accurate pressure measurement? Something like, if sensor is reading 2000 mbar at 25°C, subtract 5 bar to find a more accurate pressure measurement. Is there a way to obtain the data used to make this plot in order to code this script?

3) In case question 2 answer is also positive, how can I assess the accuracy of my reading after that compensation?

• The chart shows typical figures; there is no guarantee associated with that. If you want better accuracy then you will have to calibrate the sensors individually. And with a typical long term stability of -20 mbar/yr you may need to calibrate several times a year if the application is that critical. Jun 10 '17 at 21:45
• this says it has 2nd order compensation enabled. IF you recall how to convert data to a 3rd order equation or find a program to do it then you can correct with coefficients for 3rd order error. And it that is not good enough try a 5th order equation then error correct. 3rd order correction is common in TCXO's to compensate AT crystals with temperature which you can buy for a couple bucks in volume and not all the R&D costs. I have done this for <1ppm -40~70'C using a temp sensor and varicap. for <\$1 with code. You have find your own solution and calibrate Jun 11 '17 at 1:22