Drought stress is the main factor affecting plant grown and development. Chlorophyll fluorescence was chosen as research object to study the effects of drought stress on the growth of Longjing tea seedlings crops. A chlorophyll fluorescence collection system was designed with LED, CCD and filter. Longjing tea seedling with good growth were selected for drought treatment. The tea seedlings should be dark treatment before each experiment. Using LED lamps actively induced the emission fluorescence of tea seedlings, and the images were collected in the same time period for 8 consecutive days. The chlorophyll fluorescence quenching curve was drawn through the mean gray value of the images after preprocessing with median filter. We proposed a new method for evaluating fluorescence quenching curves using slope index, named the slope fluorescence index (SFI). The range of the gray scale mean at the same time in 1-8 days is calculated, the relative errors of range were calculated over the selected time range and determining the time range of range stability. Within the time range, correlation model between each point on the curves and the stress days was established to find a point with the largest correlation coefficient R 2 . The results showed that there was the highest correlation between the SFI of fluorescence quenching curve at 327s and the days of drought stress (determinant coefficient R 2=0.94021). Slope fluorescence index (SFI) is used to evaluate chlorophyll fluorescence quenching curve, which will provide a new idea for monitoring plant growth under stress.
The film pressure, film thickness and film stiffness are important parameters in study on water-lubricated bearings, which are difficult to be accurately measured due to the limitations of bearing structure and operating environment. Meanwhile, obtaining the empirical data can reflect the real bearing characteristics, and which is great significance to the further study of bearing lubrication and friction mechanism. In traditional monitoring system on water-lubricated bearing, the size of sensor is too large, and which is difficult to be embedded inside the bearing. In addition, the sensor installation position and the interference of external signal source will affect the system, so, there are large errors in test results. In order to solve the above problems, in this paper, an embedded intelligent bearing structure is proposed, in which a thin film pressure sensor is embedded inside the bearing bush to make it closer to signal source, and the collected data can reflect the bearing running state more accurately. At the same time, due to the integration of information processing units, the online monitoring, self-diagnosis and automatic control can be realized, and the operation of bearing is more stable and smart than before. The physical model after grooving was established by two-way fluid-structure coupling method, the finite element simulation, and the analysis of bearing deformation and capacity were conducted. The results show that the bearing mechanical characteristics are affected by the grooving parameters, when the groove depth increases, the bearing stress and deformation also increases greater accordingly. The deformation of bearing bush decreases along the axial direction, and the bearing stress near the groove is larger.
Active fluorescence detection is a common detection method. A fluorescence-lifetime parameter is used as the characteristic parameter of active fluorescence detection, which can solve that the fluorescence intensity is easily affected by external environmental factors. Analyzed the principle of the gated-detection method for measuring the fluorescence life, the nonlinear least square regress combined with fluorescence-lifetime decay curve was proposed to fit the function of fluorescence-lifetime decay. Extracting the average fluorescence-lifetime parameters, the fluorescence life map was drawn for the two-dimensional spatial distribution of fluorescence substances. An identification method of oil types was presented and verified by experiment using fluorescence-lifetime parameter as feature vector and support vector machine. The experimental results shown that the probability of the pixel point fluorescence-lifetime falling into the confidence interval in the excitation region was over 68% by using the fluorescence average life as a parameter, and the identification probability was over 77% by using the support vector machine for oil species identification. It is feasible and has a good identification rate to identify oil species by using fluorescence-lifetime parameter. Few samples are trained by combining the identification method of support vector machine. The method based on fluorescence-lifetime decay curve combined with support vector machine will provide some references for oil species recognition research in the field of environmental pollution.
Active Induced fluorescence technique is a widely used non-destructive detection method. An economical and efficient chlorophyll fluorescence excitation system was designed by analyzing the number of LEDs and the spatial irradiance distribution in different directions. Irradiance distribution of different LED quantities was simulated, and the irradiance uniformity of the sample area was analyzed under different light sources and different distances. The ratio of the minimum irradiance to the average irradiance in the sample area was proposed as an indicator of the irradiance uniformity. When the number of LEDs was 4, the spacing was 0.04m, and the LED array height was 0.5m, the plane irradiance uniformity was about 0.920 according simulation analysis. The simulation results show that the uniformity of irradiance was positively correlated with the LED array height and LED spacing. The irradiance uniformity increases with the increase of LED number. It can be used as a reference for the design of different LED arrays, and provide ideas for the design of active fluorescence excitation system in the future.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.