Abstract. The author introduces a self-learning control system used in cigarette surface defect detection system. The database, data acquisition card and industrial computer are used to realize high speed detection of cigarette surface defects. The results show that the advantages compared with the traditional measurements are as follows: Firstly, realize the detection of entire cigarette surface; Secondly, achieve the unmanned operation with no manual operation needed from the beginning to the end; Thirdly, save the qualified and unqualified testing data, convenient to historical retrospection and data statistics.
The industrial effluents produced in petrochemical production contain kinds of pollutants and fluctuate wildly, also lead sewage plant to be impacted frequently. It is significant to develop a method that warms the effluents quality early, efficiently and accurately. As a result, it can make the biochemical devices run and manage smoothly. Based on the extreme sensitivity of Oxygen Uptake Rate (OUR) and Dehydrogenase Activity (DHA) to the abnormal effluents and toxicants, this study proposed a comprehensive assessment method of biodegradability and biotoxicity with Specific Oxygen Uptake Rate (SOUR) and Specific Dehydrogenase Activity (SDHA). And it also discussed the biodegradability and biotoxicity of the industrial effluents with different pH and toxicant by detecting OUR, SOUR and DHA. The results showed that, these three indexes were extremely sensitive and accurate to the effluents quality change. And the maximum concentrations of phenol, formaldehyde and carbinol that the microorganisms can allow in the industrial effluents were 350mg/L, 70mg/L and 170 mg/L. When the sewage plant was functioning normally, SOUR and SDHA fluctuations were 3.0~7.0 and 1.0~4.0 respectively. Therefore, they have important application value and prospect to early warming in the effluents quality.
In order to describe petroleum hydrocarbon contaminants (PHCs) transport feature in saturated zone, two-dimensional sandbox was designed to carry out physical simulation experiment, and infiltration, migration and distribution of PHCs in saturated zone were investigated. Meanwhile, MOFAT simulator was selected to carry out numerical simulation research, and simulator accuracy was analyzed by comparing to physical simulation data. Results indicated that MOFAT simulator could simulate and predict PHCs transport behavior in saturated zone.
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