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Lv Y.,Zhejiang iversity | Lv Y.,Zhejiang University | Ni Y.,Zhejiang iversity | Ni Y.,Key Laboratory of Wood Science and Technology of Zhejiang Province | And 2 more authors.
International Journal of Advanced Manufacturing Technology | Year: 2016

According to the current situation of the enterprise informatization, a large number of legacy systems (databases, programs, etc.) need to be integrated, different application systems (PDM, ERP, SCM, CRM, etc.) need to interact, and enterprise business needs close collaboration. This paper build an architecture to integrate heterogeneous systems for enterprise business collaboration. It proposed product ontology model, software component ontology model and business process ontology model for heterogeneous system integration, to solve the problem of product knowledge heterogeneous, software components heterogeneous, and business process heterogeneous in collaborative business processes. Based on this, a prototype of platform is given. The research of this paper is of important theoretical significance and provides a new architecture and implementation method for the integration of heterogeneous systems based on business collaboration. © 2016 Springer-Verlag London Source


Ma Z.,Zhejiang Agriculture And forestry University | Ma Z.,Key Laboratory of Wood Science and Technology of Zhejiang Province | Ye J.,Zhejiang Agriculture And forestry University | Ye J.,Key Laboratory of Wood Science and Technology of Zhejiang Province | And 2 more authors.
BioResources | Year: 2015

Rice husks (RH) are a potential biomass source for bio-energy production in China, such as bio-gas production by gasification technology. In this paper, a bench-scale downdraft fixed bed gasifier (DFBG) and a tar sampling system were designed. The effect of equivalence ratio (ER) on gasification performance in terms of the temperature in the gasifier, the composition distribution of the producer gas, and the tar content in the producer gas was studied. The maximum lower heating value of 4.44 MJ/Nm3, minimum tar content of 1.34 g/Nm3, and maximum cold gas efficiency of 50.85% were obtained at ER of 0.211. In addition, the characteristics of gasification byproducts, namely bio-char and bio-tar, were analyzed. The proximate and ultimate analysis (especially of the alkali metal), the surface morphology, the surface area, and the pore size distribution of the rice husk char (RHC) were obtained by the use of X-ray fluorescence (XRF) and scanning electron microscopy (SEM), as well as by using the Brunauer-Emmett-Teller (BET) method. The components of light tar and heavy tar were obtained by using gas chromatography-mass spectrometry (GC-MS). Source


Yao L.,Zhejiang iversity | Yao L.,Key Laboratory of Wood Science and Technology of Zhejiang Province | Zhou G.,Zhejiang University | Ni Z.,Zhejiang iversity | And 3 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2015

The completely fruit surface image information is an important factor which will directly influence the detection results of fruit's surface color and defect. This paper took the common red delicious apple as the research object. An image feature extraction and matching method based on SIFT algorithm was proposed, and the multi-view fruit image were stitched effectively in this paper. The algorithm was helpful to obtain the completely fruit surface image information. Firstly, the fruits were rotated at fixed interval 15° angle and the multi-view of fruit continuous images was achieved. Based on the analysis of fruit image color space, the fruits target and the background were divided by 2 R-G-B channels for removing image noise. The target image was proposed by gray histogram equalization; hence the image's contrast was enhanced. The pre-paired image had special information which could be used for extracting feature points. After comparing with speeded-up robust features (SURF) and scale invariant feature transform (SIFT) algorithm, image feature points were detected between two images using SIFT algorithm. The average number of characteristic vector with 128 dimensions for each image was 2500. Because of large quantity and high dimensions of characteristic vector, significant amount of time was consumed when using the traditional K-D tree algorithm in searching matching points. To reduce the matching point of the existing area, a complete fruit image was divided into 16 regions, and four regions in the middle area with the most easily matching area for feature points were selected by multiple tests. A series of images collected by CCD camera only had lateral deviation between pre and post image. The searching scope of matching point was controlled in a narrow space between ±10 pixels through epipolar geometric constraint algorithm. Therefore, the mismatching rate was reduced and the images matching precision was improved. Finally, the mismatching points were rejected using the improved random sample consensus (RANSAC) algorithm, and it also could be further improved for matching precision. The initial translation matrix was obtained through rough matching points. The euclidean distance between pre and post image matching points selected randomly by using RANSAC was calculated. It was helpful to distinguish the interior point and exterior point. The final precisely matching points for each image were obtained based on presupposition threshold condition and point number condition. Calculating the center coordinates of the final match points for each image, the image of around the center coordinates for pre and post treated were reserved, and the translation matrix was generated at the same time. According to the translation matrix, the complete fruit surface image stitching was realized though stitching the images characteristics of pre and post. The experimental results indicated that the matching algorithm could dramatically reduce the mismatching rate and improved the average matching precision by 35.0%, the average matching time decreased from 7.8 s to 2.5 s, and the reduction rate was 67.8% compared with traditional K-D tree algorithm, and the reduction rate of matching results was 93.9%. This algorithm was also effective for the arbitrary pose fruit image on the test bench. This algorithm had good real-time performance, and it was invariance to scale, rotation, and affine transform, and it was effective for the randomly pose of spherical fruit images matching. This study provides an important reference for the quality detection and grade division of agricultural products base on machine vision. ©, 2015, Chinese Society of Agricultural Engineering. All right reserved. Source


Ma Z.,Zhejiang Agriculture And forestry University | Ma Z.,Key Laboratory of Wood Science and Technology of Zhejiang Province | Ye J.,Zhejiang Agriculture And forestry University | Ye J.,Key Laboratory of Wood Science and Technology of Zhejiang Province | And 5 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2016

Gasification is a thermo-chemical process to convert carbonaceous materials into gaseous products which could be used as a fuel in engines for power generation or in boiler for heat supply. This paper investigated the effect of equivalence ratio (ER) on the gasification performance in terms of the temperature in the gasifier, the composition distribution of the producer gas, and the tar content in the producer gas using a lab-scale downdraft fixed bed gasifier fed by Pinus sylvestris wood chips. In addition, the characteristics of gasification byproducts, namely bio-char and bio-tar, were analyzed. The proximate and ultimate analysis, the surface morphology, the surface area, and the pore size distribution of wood charcoal were obtained by the scanning electron microscopy (SEM) and the Brunauer-Emmett-Teller (BET) method. The components of light tar and heavy tar were obtained by the gas chromatography-mass spectrometry (GC-MS). The results showed that the optimal ER was 0.251 with the maximum LHV of producer gas (4.55 MJ/Nm3 along with CO of 17.47%, H2 of 14.67%, CO2 of 12.43%, and CH4 of 2.12%), a minimum tar content of 350 mg/Nm3, and a maximum cold gas efficiency of 65.46%. The charcoal was a porous material with a high heating value of 28.17 MJ/kg and a high BET surface area 342 m2/g which could potentially be feedstock for the production of briquettes fuel and activated carbon. The light tar was mainly composed of phenols (36.75%), acetic acid (22.14%) and ketones (13.73%). After refining and dilution, the light tar could be a potential substance to produce plant growth regulator. The heavy tar was mainly composed of heterocyclic aromatics (59.98%), light aromatics (1 ring) (4.71%) and light polycyclic aromatic hydrocarbons (2-3 ring) (16.48%). The heavy tar could be a potential feedstock for aromatic chemicals production. © 2016, Editorial Department of the Transactions of the Chinese Society of Agricultural Engineering. All right reserved. Source

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