scholarly journals TECHNIQUE OF FORECASTING the PERFORMANCE TIME ON TRANSFER OF BULK CARGOES

2018 ◽  
pp. 123-128 ◽  
Author(s):  
Denis Dmitrievich Strelnikov
Keyword(s):  
Cast Iron ◽  
Iron Ore ◽  
Weather Conditions ◽  
Meteorological Factor ◽  
Performance Ratio ◽  
Process Flow ◽  
Forecast Performance ◽  
Cargo Handling ◽  
Flow Charts ◽  
Operation Schedule

The process of transshipment of bulk cargo within the Eastern cargo terminal of the sea port of Novorossiysk has been considered. A method for calculating the performance of the crane group has been developed, taking into account the interaction of cordon and rear crane subgroups. The method is based on the practical process flow charts of Novorossiysk port for processing coal, cast iron and iron ore. There has been presented the designed method for calculating the coefficient of predicted performance of cargo handling for transshipping the bulk cargoes (e.g., coal, iron ore and cast iron) based on the data on performance of crane equipment, allocated resources (handling equipment and dock machine operator teams). The forecast performance ratio allows to determine whether the operation schedule is ahead or behind the standard of the process flow charts. The method of calculating the forecast time of transshipment of bulk cargoes has been offered, subject to the influence of meteorological factor on productivity of cargo operations. The formulas for calculating the estimated time of the cargo operations at all possible mutual locations on the time axis of the segments of the weather conditions and the time of the operation have been given.

A new IR and sprinkler based embedded controller directed robotic arm for automatic cleaning of solar panel

2019 ◽  
Vol 18 (4) ◽  
pp. 905-921
Author(s):  
Manish Kumar Ghodki ◽  
Akhilesh Swarup ◽  
Yash Pal
Keyword(s):  
Pulse Width Modulation ◽  
Weather Conditions ◽  
Solar Panel ◽  
Performance Ratio ◽  
Robotic Arm ◽  
Pv System ◽  
Content Type ◽  
Average Value ◽  
Ir Sensor ◽  
Embedded Controller

Purpose The purpose of this paper is to design and develop an IR and sprinkler based embedded controller operated robotic arm for automatic dust removal system to mitigate the dust effect on the solar panel surface, since dust accumulation normally affected by real weather conditions is one of the serious concern for the deterioration of photovoltaic (PV) system output. Design/methodology/approach The system is a wet cleaning device which provides a cheap silicon rubber-based wiping operation controlled by the pulse width modulation-operated motors of robotic arm. The IEEE 1149.1-compliant mixed signal-embedded platform of C8051F226DK is involved to command the complete system. Findings A prototype of 30 WP system is capable of producing an inspiring average value of 11.26 per cent in energy increase, 13.63 per cent in PV module efficiency and 85.20 per cent in performance ratio of the system after 73 days of cleaning in summer season. In addition, a total of 1,617.93 W power; 1,0516.55 Wh energy; and 350.55 KWh/KWP final yield was found during the entire cleaning period. Originality/value A novel technique of the implementation of IR sensor and sprinkler in dust mitigation is proposed in this paper. The IR sensor is used as a versatile object which can manage the robotic arm setting and control the automatic switching between cleaning and charging, as well as identify the thermal condition of solar panel for overheating.

scholarly journals Vertical Distribution of Particulates within the Near-Surface Layer of Dry Bulk Port and Influence Mechanism: A Case Study in China

2019 ◽  
Vol 11 (24) ◽  
pp. 7135 ◽  
Author(s):  
Jinxing Shen ◽  
Xuejun Feng ◽  
Kai Zhuang ◽  
Tong Lin ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Vertical Distribution ◽  
Weather Conditions ◽  
Dust Suppression ◽  
Near Surface ◽  
Cargo Handling ◽  
Port Operation ◽  
Pm10 And Pm2.5 ◽  
The Impact ◽  
The Vertical Distribution ◽  
Porous Fence

Knowing the vertical distribution of ambient particulate matter (PM) will help port authorities choose the optimal dust-suppression measures to reduce PM concentrations. In this study, we used an unmanned aerial vehicle (UAV) to assess the vertical distribution (0–120 m altitude) of PM in a dry bulk port along the Yangtze River, China. Total suspended particulates (TSP), PM10, and PM2.5 concentrations at different altitudes were measured at seven sites representing different cargo-handling sites and a background site. Variations in results across sites make it not suitable to characterize the vertical distribution of PM concentration at this port using simple representative distributions. Bulk cargo particle size, fog cannon use, and porous fence all affected the vertical distribution of TSP concentrations but had only minor impacts on PM10 and PM2.5 concentrations. Optimizing porous fence layout according to weather conditions and cargo demand at port have the most potential for mitigating PM pollution related to port operation. As ground-based stations cannot fully measure vertical PM distributions, our methods and results represent an advance in assessing the impact of port activities on air quality and can be used to determine optimal dust-suppression measures for dry bulk ports.

Pilot Beneficiation about Deoxidized Samples of Bayan Obo Oxidized Iron Ore

2012 ◽  
Vol 454 ◽  
pp. 221-226 ◽  
Author(s):  
Peng Gao ◽  
Yue Xin Han ◽  
Yong Sheng Sun ◽  
Yu Fan Mu
Keyword(s):  
Magnetic Separation ◽  
Iron Ore ◽  
Ferrous Metal ◽  
Fine Fraction ◽  
Separation Process ◽  
Process Flow ◽  
Oxidized Iron ◽  
Separate Treatment ◽  
Bayan Obo ◽  
Process Characteristic

The composition of Deoxidized Samples of Bayan Obo Oxidized Iron Ore is complex with high content of residual reducing C, Fe phase in the RDP is ferrous metal what is hard and malleable resulting in pessimistic grindability. Gravity-magnetic separation process flow is adopted with C pre-rejecting, stage grinding (-0.074mm -57.18%, -0.074mm -85.66%) and coarse-fine fraction separate treatment base on RDP process characteristic. The final concentrate has 92.02% Fe with 93.27% Fe recovery, 94.18% Fe metallization which may utilize as rough materials for steelmaking and the final tailings has 15.10% REO with 97.15% REO recovery which may utilize as rough materials for REO concentration.

scholarly journals Ways of efficiency increasing of iron ore raw materials concentration technology

2019 ◽  
Vol 75 (2) ◽  
pp. 137-146 ◽  
Author(s):  
A. E. Pelevin
Keyword(s):  
Iron Ore ◽  
Raw Materials ◽  
Low Complexity ◽  
Silica Content ◽  
Iron Ores ◽  
Mass Content ◽  
High Quality ◽  
Metallurgical Production ◽  
Stage Separation ◽  
Flow Charts

Iron ore raw materials quality to a great extent determines technical and economic indices of metallurgical production. A brief characteristic of main types of iron ores of Russia quoted. It was shown, that they require concentration for utilization them in metallurgical production. Concentration flow charts of main types of iron ores considered. Main ways of iron ore raw materials concentration flow charts perfection directed on concentrates quality increase, concentration specific costs decrease and increase of raw materials utilization complexity. At Lebedinsky mining and concentration complex (MCC) at the expense of additional milling and concentration of high quality concentrate, a super-concentrate is produced having the iron mass content no less than 69.5% and silica content no more than 3.5%. The increase of iron mass content is 1.5–2%. At Mikhajlovsky MCC additional concentration of regular concentrate with iron mass content 65.5–66% enables to produce a super-concentrate having the iron mass content no less than 69% and silica mass content no more than 3%. The increase of iron mass content is 3–3.5%. Fine hydraulic screening is used at Kostomuksha and Kovdor MCCs for adjusting of regular concentrates. The undersize of sizing screens is a high quality concentrate, and oversize fraction is an intermediate product subjected to additional milling and concentration. When using the fine hydraulic screening, the super-concentrates are not obtained. Indices of super-concentrates production with application of separation in an alternative magnetic field quoted. Low complexity of iron ore raw materials utilization is typical at concentration of hematitemagnetite quartzite ores. In Russia the hematite-magnetite quartzite ores are mined and concentrated at three MCCs as follows: Olenegorsky, Mikhajlovsky and Kimkano-Sutarsky. Flow-charts and indices of magneto-gravitation concentration quoted, applied for hematite concentrate production. Stage separation of not only tails but also of concentrates is one of methods of expenses decreasing. A diagram of concentrate stage separation with application of concentration method or fine screening considered. Results of industrial application of flow-charts with concentrate stage separation quoted, the application taken place at Kachkanar MCC with application of two methods – wet magnetic concentration and fine hydraulic screening.

Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas

2019 ◽  
Vol 218 ◽  
pp. 993-1006 ◽  
Author(s):  
Narayan Kayet ◽  
Khanindra Pathak ◽  
Abhisek Chakrabarty ◽  
Subodh Kumar ◽  
V.M. Chowdary ◽  
...  
Keyword(s):  
Cast Iron ◽  
Environmental Monitoring ◽  
Satellite Imagery ◽  
Iron Ore ◽  
Mining Areas ◽  
Landsat Satellite ◽  
Open Cast

AIRBORN SOILS POLLUTION RISK ASESSMENT NEAR OPEN - CAST IRON ORE MINES

2014 ◽  
Vol 13 (6) ◽  
pp. 1329-1333
Author(s):  
Mykola Kharytonov ◽  
Aissa Benselhoub
Keyword(s):  
Cast Iron ◽  
Iron Ore ◽  
Pollution Risk ◽  
Open Cast

Integrated Design and Testing of an Anemometer for Autonomous Sail Drones

2017 ◽  
Vol 140 (5) ◽  
Author(s):  
Pugi Luca ◽  
Allotta Benedetto ◽  
Boni Enrico ◽  
Guidi Francesco ◽  
Montagni Marco ◽  
...  
Keyword(s):  
Large Scale ◽  
Fluid Dynamic ◽  
Low Cost ◽  
Integrated Design ◽  
Weather Conditions ◽  
Performance Ratio ◽  
Correct Estimation ◽  
University Of Florence ◽  
Variable Weather ◽  
Design And Testing

A correct estimation of both direction and intensity of wind velocity is fundamental for controlling an autonomous sail-boat. This kind of estimation has to be performed in a harsh environment considering the direct exposition of the sensor to salt, fog, and to any variable weather conditions. An important feature is represented by the sensor size, which has to be small compared to the drone size. Costs have to be optimized with respect to the overall small budget involved in the construction of the drone. Finally, extensive use on drones or in large sensor networks should be greatly advantaged by an easy substitutability in the case of accidental damage or system loss, an eventuality which is difficult to be completely avoided for large scale, prolonged monitoring activities. In this work authors propose a low cost ultrasonic planar anemometer with a very interesting price to performance ratio which is obtained by introducing a simple, original and innovative Arduino based architecture. Preliminary design and the results of calibration will be described, followed by testing activities performed on a low-speed large section wind tunnel, available at University of Florence supported by simple but effective computational fluid dynamic (CFD) simulations.

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