Home > News & Updates > Electronics News Updates > Antilog converter linearizes carbon dioxide sensor

Antilog converter linearizes carbon dioxide sensor

Summary of Antilog converter linearizes carbon dioxide sensor


### Summary This article presents a low-cost, pure hardware solution for linearizing the logarithmic response of the MG-811 electrochemical carbon dioxide sensor. Unlike typical methods requiring microcontrollers and complex calculations, this circuit uses an antilog converter to produce a linear output signal suitable for direct connection to panel meters or microcontrollers. The system offers high sensitivity, a wide measurement range (400–10,000 ppm), easy adjustment, and good accuracy without needing software-based log or antilog processing.

Parts used in the Antilog Converter Linearization Project:

  • MG-811 CO2 sensor
  • Buffer amplifier with extremely low bias current (<1pA)
  • Microcontroller (for comparison context)
  • Panel meter
  • Microcontroller (alternative output destination)

While most carbon dioxide sensors use IR technology, electrochemical sensors are a serious competitor because of their high sensitivity, wide measurement range, and low price. As a rule, electrochemical sensors connect to a microcontroller through a buffer amplifier with an extremely low bias current (<1pA). The micro is needed to linearize the logarithmic response of the sensor. A good example of this approach is the SEN-000007 module from Sandbox Electronics, which uses an MG-811 CO2 sensor from Hanwei Electronics. Reference 1 reveals the circuits and the code, but does not specify accuracy.

This Design Idea shows a pure hardware solution to the linearization problem with a simple and cheap circuit that features easy adjustment and good accuracy. The output signal can go directly to a panel meter or a microcontroller, requiring no complex data manipulation such as log or antilog calculations.

Antilog converter linearizes carbon dioxide sensor

The MG-811 sensor measures CO2 concentration from 400 to 10,000 ppm (0.04% to 1%). Figure 1 displays the transfer function of the sensor. The data points come from the datasheet of the MG-811. The line and equation are generated by the curve fitting tool of Microsoft Excel.

For more detail: Antilog converter linearizes carbon dioxide sensor

Quick Solutions to Questions related to Antilog Converter Linearization Project:

  • Why are electrochemical sensors considered competitors to IR technology?
    They offer high sensitivity, a wide measurement range, and a low price.
  • How does the proposed hardware solution handle the sensor's logarithmic response?
    It uses a simple antilog converter circuit to linearize the output signal directly.
  • What is the measurement range of the MG-811 sensor?
    The sensor measures CO2 concentration from 400 to 10,000 ppm.
  • Can the output signal connect directly to a panel meter?
    Yes, the output signal can go directly to a panel meter without complex data manipulation.
  • Does this project require a microcontroller for linearization?
    No, it provides a pure hardware solution that avoids the need for microcontrollers or code.
  • What calculation types are avoided by using this circuit?
    The circuit eliminates the need for log or antilog calculations typically required by microcontrollers.
  • Is the circuit described as expensive?
    No, the design features a simple and cheap circuit.
  • Where did the transfer function data points originate?
    The data points come from the datasheet of the MG-811.

About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

Follow Us:
LinkedinTwitter
Scroll to Top