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Jia Liangquan, Qi Hengnian, Zhao Guangwu, et al. Design of seed respiration measurement system using virtual instrument[J]. Opto-Electronic Engineering, 2019, 46(11): 190051. doi: 10.12086/oee.2019.190051
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Design of seed respiration measurement system using virtual instrument
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Abstract
In the seed breathing CO2 detection system, the traditional method cannot measure the concentration of CO2 in the seed breathing in real time. According to the characteristics of seed breathing CO2, a seed breathing detection system based on virtual instrument LabVIEW is designed based on tunable diode laser absorption spectroscopy (TDLAS). The system mainly includes laser light source and its controller, seed breathing container based on multiple reflecting pool structure. The upper computer software is mainly set with data acquisition, signal processing, concentration inversion and other functional modules, in which the concentration inversion uses the orthogonal vector phase-locked amplification algorithm to avoid the error caused by the phase difference between the reference signal and the signal to be measured. The experimental results show that the CO2 detection system for seed respiration implemented by virtual instrument software can effectively detect the change of seed respiration, and has good anti-interference and stability, which lays a foundation for the subsequent experimental research and development.-
Keywords:
- TDLAS /
- the second harmonic /
- virtual Instrument /
- CO2 /
- seed breath
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References
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Overview
Overview: Seed respiration is an important index to reflect seed vigor. There are many problems in the current system for measuring CO2 applied in seed respiration such as low accuracy, no real-time and continuous measurement of CO2 concentration produced by seed respiration. In order to solve the above problems, a seed respiration detection system based on LabVIEW virtual instrument software was designed account on TDLAS (tunable diode laser absorption spectroscopy) technology according to the requirements of CO2 measurement system applied in seed respiration. The system mainly consists as following parts: 1) The laser light source and its controller: the laser light source adopts the DFB laser of Nanoplus company and the wavelength is 2004 nm; 2) The seed breathing container based on the structure of multiple reflection cell: the upper half of the container is seed breathing cavity, which is used to place seeds, and the lower half is multiple reflection pool. The total optical path in the reflection pool is 16 m, and the middle layer between the respiratory cavity and the multiple reflection pool is separated by a spacer; 3) Data acquisition module: the module includes data acquisition card and host computer data acquisition software, which mainly sets up data acquisition, signal processing, concentration inversion and other functional modules. In order to avoid the error caused by the phase difference between the reference signal and the measured signal, the phase-locked amplification algorithm of orthogonal vector was used in the concentration inversion. The background noise, light intensity change, voltage change and other influencing factors were filtered, smoothed and normalized to avoid the second harmonic concentration inversion affected by a variety of system noise, laser intensity changes and other factors, in the concentration inversion processing. Then the measurement and concentration inversion calculation were carried out under the same modulation parameters and experimental environment, in which the second harmonic peak height was fitted by the center frequency, and the concentration was calibrated with standard gas before concentration inversion. In this paper, 50 waxy corn seeds harvested in the summer of 2017 were selected, and then soaked for 2 hours, finally put into the seed respiration container for seed respiration measurement. The modulation frequency was 200 kHz and the scanning frequency was 50 Hz and the sampling rate was 10 MHz, and the detector signal was stabled at about 4.5 V after the amplification circuit. Through the experiment, it was observed that the respiratory intensity curve of waxy corn seeds soaked for two hours showed an upward trend within 8 hours. The respiratory rate increased at first and then slowed down. The slowest respiratory rate was 121.39 ppm/hour within 1 hour, and the strongest respiratory rate reached 232.46 ppm/hour in 4 to 5 hours. The experimental results showed that the system implemented by virtual instrument software to measure the CO2 produced by seed respiration can effectively detect the change of seed respiration. The design scheme laid a foundation for the subsequent detection of seed vigor grade by seed respiration CO2.
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Jia Liangquan, Qi Hengnian, Zhao Guangwu, et al. Design of seed respiration measurement system using virtual instrument[J]. Opto-Electronic Engineering, 2019, 46(11): 190051. doi: 10.12086/oee.2019.190051
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Figure 1.
Composition schematic diagram of seed respiratory detection system
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Figure 2.
Seed breath detection container
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Figure 3.
Front panel of computer software
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Figure 4.
Flow of seed respiration detection system
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Figure 5.
Program diagram of orthogonal vector phase-locked amplification algorithms
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Figure 6.
Linear fitting relation between signal intensity and CO2 concentration
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Figure 7.
Calculation flow of concentration inversion
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Figure 8.
Respiration test results of corn seeds
