Applied Mechanics and Materials Vols. 484-485

Abstract: In order to control robot NAO more easily with LabVIEW, a LabVIEW-based robot controlling program was designed for development. In this paper, by the means of utilizing the VI Scripting, it enabled to generate the LabVIEW-based NAO redevelopment package quickly, and explained how to use the development kit. Through this program, the NAO robot could be seamlessly connected with LabVIEW. Thus, through the graphical development environment, the engineers could manipulate the modules of NAO robot at ease, including the action, voice, vision and other modules. Finally, the designed LabVIEW program simplified the complicated programming and improved the development efficiency dramatically. Besides, it could be widely used in the .NET development..

Abstract: Application of single chip microcomputer in the ubiquitous in modern life, as electronic products, intelligent upgrade, MCU control board play a decisive role, the design of main control board system for intelligent electronic device provides a more rapid development. This paper firstly introduces the properties of AVR single chip, the performance of AVR MCU design the control board of the corresponding circuit, and to study its programming method, is convenient for the users to operate, it is applied to the hardware.

Abstract: As a wisdom water conservancy, mountain torrent disaster monitoring and early-warning system is an especially information part of flood prevention and drought resisting information support, and plays a very important role in the flood prevention and drought resisting in the water conservancy industry. The integration of mountain torrent disaster monitoring and early-warning system in water conservancy with the internet of things and the establishment of intelligent things networking system based on automation and control provide decision-making supports for flood prevention and mountain torrent disaster early-warning, aiming at safeguard the life and property securities of people. Therefore, by taking Zhaojue County of Liangshan Yi autonomous prefecture (an area with frequent mountain torrent disaster in Sichuan province) as an example, the implementation plan of mountain torrent disaster monitoring and early-warning system is reviewed in this paper.

Abstract: There are rich resources in Central and South America, and mining products export plays an important role in the regional economic development. In this paper, the mining products trade information of more than ten years in Central and South America is collected, and then the authors point out that a "diversified export" strategy has been implemented by Central and South America in recent years for reducing the dependence on the economy of the United States, and the export of Central and South America is continuously rising to China but declining to the United States because they are benefited from the great demands of China's development on resources. However, along with the development of the industrialization in the countries of Central and South America, increasingly more resources will be consumed in this region. Therefore, some Central and South American countries will reduce their energy and mining products exports in the future in the condition of meeting their own needs.

Abstract: Smart industrial park energy efficiency management system is used for solving the demanded side electric power management problem mainly in terms of scientific management. In this system, the data of electric power, electric power quality, and electric energy is acquired in real time by installing an electric power management monitor in the main load points, so as to analyze electric energy efficiency and energy consumption. A large amount of data can be obtained from the system, and if these huge amounts of data are of a value can be further analyzed, finding the unknown factors affecting enterprises energy consumption, equipment performance, and operational efficiency, and the disadvantages of the traditional data processing method. Therefore, an advanced data analysis and processing tool (i.e. efficiency data mining technology) is introduced for analyzing and mining large amounts of data monitored with the smart industrial park system.

Abstract: Aiming at the problem of determining the interlayer thickness from open-casting to underground mining and based on a practical situation of a mining, the safety thickness was determined by using the Thickness and cross-ratio method, Structural mechanics simplified beam method, Protodyakonovs theory and K.B.Lu peiniet theory, According to the least square algorithm and achievement by MATLAB to determine the best weights of safe thickness.

Abstract: At the beginning ,this paper analyses the current situation on chinas energy enterprises going out ;Then this article generalize the going out modes into three kinds, that is the protocol mode on exploit and services, the mode of mergers and acquisitions and the mode of resource bidding. By using TOWS Matrix method, this paper analyses these modes respectively. Finally, this article put forward the path to choose the better mode for Chinas energy enterprises.

Abstract: This paper uses the simulation technology of computer numerical simulation, combined with the GAMBIT numerical modeling software and ANSYS structure analysis software, we carry out an in-depth research and analysis on the stability of engineering simulation, at the same times establish the mathematical model of ANSYS numerical simulation displacement stability and design the ANSYS command stream program algorithm. Finally, this paper uses the open-pit to underground mining slope stability as an example, to verify the reliability of the model and algorithm. Through the numerical simulation, we get the displacement of slope in the Y direction and Z direction. In the Y direction, the maximum displacement is 0m, the negative maximum displacement is 5.88m and displacement is relatively large; in the Z direction, the maximum displacement is 1.32M, the negative maximum displacement is 1.08M and the stability of slope is different in different position. The numerical simulation provides the theory reference for the safety of mining engineering.

Abstract: Currently, mine accidents are recurring disasters. Among them, the coal mine gas emission data detection is important information that needed to be focus on. At first, the actual data from coal mines are gotten as a part of training and testing data. Then, BP neural network model and RBF neural network model was constructed by using Matlab. Finally, the actual data is ready for the simulation; select 15 sets of data to predict the three sets of data. BP neural network is an effective mean for gas emission, and the performance of BP neural network prediction method is better than RBF neural network method.

Abstract: In order to predict the coal cost and to improve the efficiency of business operations, the basic concepts of coal cost are discussed; coal cost prediction method based on Matlab simulation has been put forward. First, relevant data are selected from a mines information; second, test set and prediction set are randomly generated; third, support vector machine for regression model and BP neural network model are created and trained by using Matlab; finally, experiment simulation has been finished and the results of two methods has been compared. The results show that, support vector machine for regression is an effective method for coal cost prediction.