Air-quality monitoring system based on electronic nose technique, and monitoring method thereof
An air quality and monitoring system technology, applied in the direction of material resistance, etc., can solve the problems of mutual interference of various gases, discrete sensors, etc.
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Embodiment 1
[0090] Example 1, such as figure 1 Shown: The air quality monitoring system based on the electronic nose technology of the present invention is provided with a sensor signal conditioning circuit 1. The quality detection input terminal group of the sensor signal conditioning circuit 1 is connected with a gas sensor group, and the sensor signal conditioning The output end of the circuit 1 is connected with a sensor array signal preprocessor 2, the output end of the sensor array signal preprocessor 2 is connected with a central processing unit 3, and the display end of the central processing unit 3 is connected with a display 4;
[0091] The theoretical basis of the present invention is pattern recognition, and pattern recognition requires certain preprocessing of data to obtain the best recognition effect. Assuming that the sensor array of the electronic nose system has n sensors, and the measured volatile organic compounds are measured p times, a p×n-dimensional sample set data ma...
Embodiment 2
[0118] Embodiment 2, a monitoring method of an air quality monitoring system, the key is to include the following steps:
[0119] Step 1: Use one set, that is, use the temperature and humidity module to obtain the environmental temperature and humidity digital signal g, and send it to the converter 32 in the central processing unit and the change in the sensitive resistance value of Q gas sensors to obtain Q changed gas information a, Send to sensor signal conditioning circuit 1;
[0120] Step 2: The sensor signal conditioning circuit 1 is used to convert the gas information a into Q varying voltage signals b;
[0121] Step 3: The sensor array signal preprocessor 2 converts the Q varying voltage signals b into Q digital signals b', and performs feature extraction on the Q digital signals b'to obtain Q feature extraction values d;
[0122] Step 4: The Q correctors 31 respectively use the virtual resistance method to perform sensitivity compensation on a digital signal d to obtain Q d...
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