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In addition, there are added benefits can be obtained from the system, such as some high value-added products, animal feed, organic fertilizer, high-absorption materials, and so on.
There are differences on fermentation efficiency among different raw materials, so the researchers must consider the source, type and quantity of raw materials, and adopt science and appropriate ratio of materials to improve the efficiency and quality of biogas and slurry[6,7].
In addition, the coupling system can also obtain some high-value microalgae products, animal feed, organic fertilizer, high-absorption materials from the microalgae, achieving effective amplification.
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Research on Experiment and Technique of Material Identification for Debris of Engineering Equipment based on Computer Vision Qunzhang Tu 1, a, Ming Pan1, b, Jianxun Zhao1, c, Dazhen Su1, a and GuoTao Wang1, c 1 Engineering Institute of Engineering Corps, PLA University of Science and Technology, Nanjing, Jiangsu, 210007, China atqzlhnj@126.com, bpanlvnn@gmail.com, csxzjxstudent@163.com Keywords: Image Processing, Support Vector Machine, Material Identification.
The materials and types of debris can be fast identified after the model is trained and the identification accuracy is high, thus a new method for fault diagnosis of engineering equipment is provided.
The sensitive characteristic parameters for material division should be chosen in the process of material identification.
The accuracy rate of classification is the most direct index for the evaluation of material identification method.
References [1] Zuo HF: The Engine Wear Condition Monitoring and Fault Diagnose Technique (Aviation Industry Press, Beijing 1995).In Chinese [2] Tu QZ, Zuo HF et.al: Journal of Nanjing University of Aeronautics and Astronautics vol. 10(2003), p. 506-509.