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In order to solve the problem that the spray weight could not be adjusted and controlled according to the weight change of the tobacco sheet during the manufacturing process of heat-not-burn tobacco product in real time, a flavoring system was designed based on incremental PID algorithm. The flavoring system was composed of weighing unit, screw pumps, nozzles, and flow sensors. The weight of the tobacco sheet roll was obtained through the weighing unit in real time, then the spray weight was calculated according to the theoretical calculation model, and the screw pumps were driven to output target flow to the nozzles based on incremental PID algorithm, the real-time spray weight was got from the flow sensors, and at last tobacco flavor was sprayed on the tobacco sheet. The results showed that the spray weight could be adjusted and controlled according to the weight change of the tobacco sheet in real time, the maximum overshoot of the flavoring system was 1%, and the maximum adjustment time was 1.8 s, the system had good tracking performance. The deviation ratio of the spray weight was 0.23%~0.52% between the detection value and the theoretical value, the variation of the spray weight within samples was 3.11%~4.17%. It showed that the flavoring system could realize accurate, uniform and stable application. [ABSTRACT FROM AUTHOR]

In order to solve the problem that the spray weight could not be adjusted and controlled according to the weight change of the tobacco sheet during the manufacturing process of heat-not-burn tobacco product in real time, a flavoring system was designed based on incremental PID algorithm. The flavoring system was composed of weighing unit, screw pumps, nozzles, and flow sensors. The weight of the tobacco sheet roll was obtained through the weighing unit in real time, then the spray weight was calculated according to the theoretical calculation model, and the screw pumps were driven to output target flow to the nozzles based on incremental PID algorithm, the real-time spray weight was got from the flow sensors, and at last tobacco flavor was sprayed on the tobacco sheet. The results showed that the spray weight could be adjusted and controlled according to the weight change of the tobacco sheet in real time, the maximum overshoot of the flavoring system was 1%, and the maximum adjustment time was 1.8 s, the system had good tracking performance. The deviation ratio of the spray weight was 0 23%~0. 52% between the detection value and the theoretical value, the variation of the spray weight within samples was 3.11%~4.17%. It showed that the flavoring system could realize accurate, uniform and stable application. [ABSTRACT FROM AUTHOR]

In order to solve the problem of complex calculation and low real-time performance when using binocular vision ranging for UAV real-time line patrol, a binocular vision ranging scheme combining improved SIFT algorithm was proposed. A binocular vision model similar to monocular vision was adopted to reduce computation variables, the traditional SIFT algorithm was improved by reducing the number of scale spaces, reducing the dimension of feature vectors, and replacing the Euclidean distance with the block distance, so as to improve the matching efficiency of the uniform feature points of two images taken simultaneously by two cameras. The results showed that the matching time was reduced by 32% and the maximum error rate was reduced to 3. 75%. The method could meet the accuracy requirements of UAV fast real-time line patrol ranging. [ABSTRACT FROM AUTHOR]