scholarly journals Experimental Investigation of Flow Resistance in a Coal Mine Ventilation Air Methane Preheated Catalytic Oxidation Reactor

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Bin Zheng ◽  
Yongqi Liu ◽  
Ruixiang Liu ◽  
Jian Meng ◽  
Mingming Mao
Keyword(s):  
Experimental Investigation ◽  
Heat Exchanger ◽  
Catalytic Oxidation ◽  
Coal Mine ◽  
Flow Resistance ◽  
Experimental System ◽  
Least Square Method ◽  
Mine Ventilation ◽  
Least Square ◽  
Oxidation Reactor

This paper reports the results of experimental investigation of flow resistance in a coal mine ventilation air methane preheated catalytic oxidation reactor. The experimental system was installed at the Energy Research Institute of Shandong University of Technology. The system has been used to investigate the effects of flow rate (200 Nm3/h to 1000 Nm3/h) and catalytic oxidation bed average temperature (20°C to 560°C) within the preheated catalytic oxidation reactor. The pressure drop and resistance proportion of catalytic oxidation bed, the heat exchanger preheating section, and the heat exchanger flue gas section were measured. In addition, based on a large number of experimental data, the empirical equations of flow resistance are obtained by the least square method. It can also be used in deriving much needed data for preheated catalytic oxidation designs when employed in industry.

scholarly journals Catalysts for the utilization of methane from the coal mine ventilation air

2007 ◽  
Vol 9 (3) ◽  
pp. 29-32 ◽  
Author(s):  
Beata Stasińska ◽  
Andrzej Machocki
Keyword(s):  
Low Temperature ◽  
Catalytic Oxidation ◽  
Thermal Energy ◽  
Coal Mine ◽  
Greenhouse Effect ◽  
Palladium Catalysts ◽  
Mine Ventilation ◽  
Catalytic Systems ◽  
Oxidation Of Methane ◽  
Methane Utilization

Catalysts for the utilization of methane from the coal mine ventilation air The paper indicates coal mines as the source of permanent emission of low-concentrated gases, which have increased the greenhouse effect. This paper proposes the catalytic oxidation of methane as the solution to the problem of methane utilization when its concentration in the air is insufficient for flame combustion. The studies which have been conducted for many years enabled finding the active oxide and metallic catalytic systems for the reaction of methane oxidation. For the utilization of gases with low-concentrated methane, using the low-temperature catalysts, especially palladium catalysts, seems to be economically well-justified. Depending on technological solutions it can be considered as the method for methane utilization or as an environmentally friendly way for the generation of electric and thermal energy.

Energy Saving in Mine Ventilation Roadway and its Optimization Model Solving

2013 ◽  
Vol 868 ◽  
pp. 291-295
Author(s):  
Jie Liu ◽  
Peng Yang ◽  
Wen Sheng Lv
Keyword(s):  
Mathematical Model ◽  
Cross Section ◽  
Least Square Method ◽  
Mine Ventilation ◽  
Least Square ◽  
Construction Costs ◽  
Maintenance Costs ◽  
Capital Construction ◽  
The Relationship ◽  
Power Costs

The paper is aimed at introducing our research of mathematical modelling of mine ventilation roadway optimal cross-section and its solving method. As we know, a rational cross-section should be determined to satisfy each intake and return airflow roadway based on the analysis of the relationship between ventilation cross-section and capital construction costs, in addition to maintenance costs and ventilation power costs. Reasonable selection of ventilation roadway cross-section is important to economic. The least square method is reasonable to build mathematical model for ventilation roadway costs. On the basis of previous studies, the relationship of capital construction costs and maintenance costs were further analyzed. Finally, considering the capital construction, maintenance and ventilation power costs three costs, the mathematical model was more accurate. Through researching a single ventilation roadway costs variation with the size of cross-section, cross-section size determined by considering time variable of costs was optimal, and built by this size could reduce economic investment. Hereby, it provides a solving method for the whole process of ventilation networks roadway cross-section optimization.

Nonlinear PID Control for Industry Robots

2013 ◽  
Vol 321-324 ◽  
pp. 1473-1476
Author(s):  
Du Kun Ding
Keyword(s):  
Pid Control ◽  
High Speed ◽  
Transfer Functions ◽  
Control Method ◽  
Experimental System ◽  
Least Square Method ◽  
Least Square ◽  
Speed Condition ◽  
Nonlinear Pid Control ◽  
Set Up

A new nonlinear PID control method is proposed to meet the needs of a vertical robot running under a high speed condition, whose joint transfer function changed with the joints position. Firstly, the experimental system has been set up. Then the joints transfer functions can be established. Moreover, the relationship between the PID parameters and joints angle position θ has been set up by the least square method. So the nonlinear PID controller can be obtained. In the end, several testing experiments have been caught out. The result shows that the nonlinear PID controllers have fast respond, which can meet the satisfaction of the robot under a high speed condition.

3D Reconstruction Based on Binocular Stereo Vision of Robot

2011 ◽  
Vol 338 ◽  
pp. 645-648 ◽  
Author(s):  
Zhi Gang Niu ◽  
Li Jun Li ◽  
Tie Wang
Keyword(s):  
Stereo Vision ◽  
Coal Mine ◽  
Stereo Matching ◽  
Least Square Method ◽  
Least Square ◽  
Mine Detection ◽  
Binocular Stereo Vision ◽  
Harris Corner ◽  
Binocular Stereo ◽  
Projection Matrices

In order to meet the need of identifying obstacles and navigating for the Coal Mine Detection Robot which is used to rescue life and detect environment from coal mine disaster, binocular stereo vision is researched and 3D model of objects around the robot is reconstructed by means of two cameras of visual system built in the robot. The two cameras are calibrated and two projection matrices of them are obtained. Then, two images of the same scene are obtained by the two cameras. The matching points of two-dimensional coordinate are got through Harris corner extraction and stereo matching. According to the principle of binocular vision, equations are obtained and solved by least square method, which can calculated the discrete points of 3D coordinate.

scholarly journals A New Approach of Disaster Forecasting Based on Least Square Optimized Neural Network

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Fanbao Meng ◽  
Suolin Jing ◽  
Xizhen Sun ◽  
Changxiang Wang ◽  
Yanbo Liang ◽  
...  
Keyword(s):  
Neural Network ◽  
Rock Burst ◽  
Coal Mine ◽  
Bp Neural Network ◽  
Least Square Method ◽  
Mining Area ◽  
Least Square ◽  
Control Factors ◽  
General Law ◽  
The Impact

The evaluation of the risk is the prerequisite for the implementation of countermeasures in the prevention and control of rock burst, and the research on the fast forecast at scene of the rock burst is more important for the safety production of coal mine. Aiming at the problem that dynamic disasters caused by many factors and heterogeneity of coal and rock are difficult to predict in the process of coal mining, in this paper, the general law and the risk control factors of the rock burst are studied, a mathematical model based on the BP neural network was built according to the different actual mining conditions in the mining area, and the output layer has obtained the prediction result. Then, the results of the output samples after training were fitted by using SPSS software, and the fitting function was obtained by multiple least square fitting. Finally, the fitting results are checked by the data of actual coal mine dynamic disaster parameters. The prediction results show that the simulation results of BP neural network prediction model and the fitting function of the least square method can reduce the impact of subjective judgment on the prediction results, and the application of the fitting function can obtain the prediction results in the first time to ensure the construction safety. The method of on-site hazard assessment and inspection by using fitting function is simple and feasible and has high accuracy, which provides a new idea for the field prediction of rock burst.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

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