A Positioning Lockholes of Container Corner Castings Method Based on Image Recognition

Shen, Yang; Mi, Weijian; Zhang, Zhiwei

doi:10.1515/pomr-2017-0110

Cited by 37 publications

(30 citation statements)

References 15 publications

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“…The contents of Cu, Pb, Zn and Cd are determined by atomic absorption spectrometry, and the contents of Hg and As are determined by atomic fluorescence spectrometry [15][16][17][18][19]. According to the measured contents of different heavy metal factors, the proposed model is used to calculate the corresponding parameters to evaluate the main heavy metal pollution factors in coastal waters and sediments [20][21][22][23].…”

Section: Sampling Analysismentioning

confidence: 99%

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Feng¹,

Niu²

2019

Desalination and Water Treatment

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a b s t r a c tIt has great a subjective influence on the evaluation of major heavy metal pollution factors in coastal waters and sediments by using the traditional Nemerow exponential method, without considering the harmful differences of different heavy metals, and resulting in a low accuracy of the evaluation results. In this paper, a new model to evaluate the major heavy metal pollution factors in coastal waters and sediments is established, to calculate the single pollution index and potential ecological risk index of heavy metals. On this basis, the fuzzy comprehensive evaluation method is used to construct the main heavy metal pollution factor model of coastal waters and sediments. The heavy metal pollution factor is reasonably evaluated and the risk grade of heavy metal pollution factor in coastal waters and sediments is obtained. The results of sampling analysis show that the evaluation results obtained by the model are as follows: the pollution index of heavy metals in the coastal water with the order of Pb > Cu > Hg > As > Cd > Zn; the potential ecological risk index of heavy metals in sediments is Pb > Cu > As > Zn > Hg > Cd. The pollution degree of area C is the highest, area A is the second, and area B is the smallest. The results show that the model can accurately evaluate the main heavy metal pollution factors in coastal waters and sediments.

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Section: Sampling Analysismentioning

confidence: 99%

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Feng¹,

Niu²

2019

Desalination and Water Treatment

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“…The risk research of water conservancy PPP project is mainly of qualitative description. There is a certain gap between the existing evaluation model and the actual project operation application at the present stage (Shen et al 2017, Xue et al 2016. The calculation process is complicated, and the evaluation result is not clear, which makes the risk evaluation of water conservancy PPP project still immature.…”

Section: Introductionmentioning

confidence: 99%

Risk Evaluation of Water Conservancy in a Public-Private Partnership Project Based on Grey Fuzzy Theory

Wang

Shi

Wang

et al. 2019

Rev. Int. Contam. Ambie.

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In this paper, a quantifiable method for risk evaluation of water conservancy ina publicprivate partnership (PP) PPP project is presented. Firstly, according to the characteristics of water conservancy PPP project, a risk evaluation index was determined by Delphi method and literature collection method; secondly, the weight of risk evaluation indexes were determined by rank correlation analysis; thirdly, based on grey fuzzy theory, a grey fuzzy comprehensive evaluation model was constructed, and uncertain grey and fuzzy contents were transformed into values that can be accurately measured, which provided a basis for managers to make decisions. Finally, the grey fuzzy comprehensive evaluation model was applied to Fendou Reservoir, a water conservancy PPP project, and it proved to be reasonable and scientific.

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“…The users are more and more demanding for the high quality and function of the crawler-type combine harvester. It is urgent to find an effective method to reduce the vibration of the crawler-type combine and determine the vibration damping measures (Garcia et al, 2017;Shen et al, 2017;Xie et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Vibration control method for a crawler-type combine harvester

Zhang

2018

Emir J Food Agric

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The traditional vibration control method for the crawler-type combine harvester based on experience is only a small piece of weight iron added to the main drive shaft of the cutter,and the mass of the weight iron is determined by the technician with experience, so the vibration control effect is not obvious. Therefore, a vibration control method for the new crawler-type combined harvester is put forward in this paper. The engine and cutting structure are the main sources of the crawler-type combine. According to the force analysis results of the cutting structure and the results of structural dynamics analysis, each acting force and moment of force are obtained, and the optimal combination scheme for calculating the position and mass of weight distribution is calculated to solve the cutting structure’s vibration of the crawler-type combine harvester. According to the vibration theory and modern design method, the vibration control of the crawler-type combine harvester engine is realized through the model analysis and the finite element calculation to establish the vibration damping model and design the parameters of the damping cushion. The experimental results show that the proposed method can effectively improve the vibration status of crawler-type combine harvesters, and the vibration level of harvesters is reduced by 50% to 80% in field operation.

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A Positioning Lockholes of Container Corner Castings Method Based on Image Recognition

Abstract: This article proposes a method of locating and recognizing lockholes in

Cited by 37 publications

References 15 publications

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Risk Evaluation of Water Conservancy in a Public-Private Partnership Project Based on Grey Fuzzy Theory

Vibration control method for a crawler-type combine harvester

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