scholarly journals Dynamic Optimization of Inner Dump in Open-Pit Mining With Irregular Boundary

CONVERTER ◽  
2021 ◽  
pp. 456-469
Author(s):  
Haoran Li, Et al.
Keyword(s):  
Dynamic Optimization ◽  
Optimal Solution ◽  
Optimization Method ◽  
Production Model ◽  
Open Pit ◽  
Open Pit Mining ◽  
Internal Drainage ◽  
Irregular Boundary ◽  
Established Relationship ◽  
The Relationship

In order to maximize the profit of open-pit mining with irregular boundary, a dynamic optimization method of internal drainage field is proposed according to the open-pit mining principle. The method according to the site within the space and the relationship between the volume of debris, there will be no rules state within the cross mining row of open pit mining engineering is divided into three periods, namely: site within the space of stage saturated site, inner space, site in excess phase space; By building the stope - inside the mine production model, will work in mine stope and line contact with the three periods established relationship, analyses the various periods stripping engineering problems, and puts forward the corresponding solutions, and for optimal solution. This method is applied to the henan open-pit mine of hollin, a state power investment group. In another mining period, the internal drainage space is fully utilized, which reduces the area of land expropriation by the external drainage and achieves the purpose of reducing cost and increasing efficiency.

scholarly journals Effects of upper body parameters on biped walking efficiency studied by dynamic optimization

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Kang An ◽  
Chuanjiang Li ◽  
Zuhua Fang ◽  
Chengju Liu
Keyword(s):  
Body Length ◽  
Dynamic Optimization ◽  
Optimal Solution ◽  
Optimization Method ◽  
Step Length ◽  
Joint Torque ◽  
Upper Body ◽  
Walking Gait ◽  
Body Parameters ◽  
Walking Efficiency

Walking efficiency is one of the considerations for designing biped robots. This article uses the dynamic optimization method to study the effects of upper body parameters, including upper body length and mass, on walking efficiency. Two minimal actuations, hip joint torque and push-off impulse, are used in the walking model, and minimal constraints are set in a free search using the dynamic optimization. Results show that there is an optimal solution of upper body length for the efficient walking within a range of walking speed and step length. For short step length, walking with a lighter upper body mass is found to be more efficient and vice versa. It is also found that for higher speed locomotion, the increase of the upper body length and mass can make the walking gait optimal rather than other kind of gaits. In addition, the typical strategy of an optimal walking gait is that just actuating the swing leg at the beginning of the step.

scholarly journals Justification of the Relationship of Production Capacity and the Parameters of the Blocks at Surface Mining of Existing Kuzbass Quarry Fields

2019 ◽  
Vol 105 ◽  
pp. 01047
Author(s):  
Alexei Selyukov ◽  
Andrey Gerasimov ◽  
Kirill Byrdin
Keyword(s):  
Production Capacity ◽  
Surface Mining ◽  
Open Pit ◽  
Open Pit Mining ◽  
Open Pit Mines ◽  
Precise Analysis ◽  
Industrial Use ◽  
Relationship Of ◽  
The Relationship

Today, up to two-thirds of the world’s minerals are mined in an open, more economical way. However, at the same time, billions of tons of overburden are extracted, which are piled in the dumps, where they are polluted, lose their value and, in addition, reduce the quality of the environment. The possibility of industrial use of various rocks of from quarry field characterizes the complexity of minerals extracted by surface mining. Currently, there are no clear criteria for determining the size of blocks when designing enterprises for open pit mining. In most cases, when designing open pit mines, a quarry field is conventionally divided into several blocks, which does not always ensure the optimal production capacity of the mining enterprise due to the uneven distribution of reserves in the block contours. Because of that, during the transition from one block to another, a decrease in the production capacity of the enterprise can be noted. To avoid productivity decreasing, the precise analysis of the block parameters must be performed.

scholarly journals Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Zhemei Fang ◽  
Xiaozhou Zhou ◽  
Ani Song
Keyword(s):  
Dynamic Optimization ◽  
Systems Engineering ◽  
Conceptual Models ◽  
Mathematical Optimization ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Optimization Method ◽  
System Of Systems ◽  
Architectural Representation ◽  
Architecture Framework

System of Systems (SoS) is designed to deliver value to participant stakeholders in a dynamic and uncertain environment where new systems are added and current systems are removed continuously and on their own volition. This requires effective evolution management at the SoS architectural level with adequate support of process, methods, and tools. This paper follows the principle of Model-Based Systems Engineering (MBSE) and develops a holistic framework integrating MBSE conceptual representations and approximate dynamic programming (ADP) to support the SoS evolution. The conceptual models provide a common architectural representation to improve communication between various decision makers while the dynamic optimization method suggests evolution planning decisions from the analytical perspective. The Department of Defense Architecture Framework (DoDAF) models using Systems Modeling Language (SysML) are used as MBSE artifacts to connect with ADP modeling elements through DoDAF metamodels to increase information traceability and reduce unnecessary information loss. Using a surface warfare SoS as an example, this paper demonstrates and explains the procedures of developing DoDAF models, mapping DoDAF models to ADP elements, formulating ADP formulation, and generating evolutionary decisions. The effectiveness of using ADP in supporting evolution to achieve a near-optimal solution that can maximize the SoS capability over time is illustrated by comparing ADP solution to other alternative solutions. The entire framework also sheds light on bridging the DoDAF-based conceptual models and other mathematical optimization methods.

Dynamics of general, occupational morbidity and industrial injuries of Kuzbass miners under the infl uence of technological changes and technical re-equipment of coal mines

2019 ◽  
pp. 242-247
Author(s):  
V. B. Batievskaya
Keyword(s):  
Occupational Diseases ◽  
Coal Mines ◽  
Operating Conditions ◽  
Open Pit ◽  
Open Pit Mining ◽  
Production Environment ◽  
Production Factors ◽  
Industrial Injuries ◽  
Coal Enterprises ◽  
The Relationship

Long-term statistical observations record the highest occupational morbidity in the Kemerovo region in comparison with the data for the Russian Federation as a whole. The article deals with the problems of General and occupational diseases, as well as industrial injuries of miners of coal mines of the Kemerovo region. Hypothesis of the study: technical re-equipment and technological improvements in the coal enterprises of the Kemerovo region will reduce the rates of General and occupational morbidity, as well as reduce injuries in the workplace. The aim of the study was to identify the relationship of General, occupational morbidity and occupational injuries with working conditions in coal enterprises.For statistical analysis, data on General, occupational morbidity, domestic and industrial injuries in the Coal company «Kuzbassrazrezugol» were used. Five groups of harmful production factors were studied: geological, technological, economic, environmental and social. Spearman correlation analysis was used to study the relationship. The extrapolation method was used to determine the stability of the identified dynamics. The interrelation of these parameters with harmful conditions of the production environment is revealed. The forecast of changes in the studied indicators under the influence of technical re-equipment and modernization of production is constructed. Statistical methods of extrapolation and correlation are applied. The Spearman coefficient for each pair of indicators is calculated and the forecast is constructed using a polynomial trend line.The following harmful production factors act on workers engaged in technological processes when conducting open-pit mining: increased levels of noise and vibration, infrasound, pollution of the atmosphere with coal dust and aerosols, unfavorable operating conditions. Th ese factors contribute to the formation of occupational diseases. Th ere is a reliable feedback between these features, and the increase in investment in the modernization of production will re duce the adverse impact on workers of environmental conditions.

scholarly journals Dynamic optimization analysis of hydraulic pipeline system based on a developed response surface method

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Hongquan QU ◽  
Jianlin SUN ◽  
Xu YAN ◽  
Yuanlin ZHANG ◽  
Xuefeng LIU ◽  
...  
Keyword(s):  
Response Surface ◽  
Dynamic Optimization ◽  
Optimal Solution ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Vibration Characteristics ◽  
Surface Model ◽  
Pipeline System ◽  
Long Distance ◽  
Offshore Pipeline

When designing a complex pipeline with long distance and multi-supports for offshore platform, it is necessary to analyze the vibration characteristics of the complex pipeline system to ensure that there is no harmful resonance in the working conditions. Therefore, the optimal layout of support is an effective method to reduce the vibration response of hydraulic pipeline system. In this paper, a developed dynamic optimization method for the complex pipeline is proposed to investigate the vibration characteristics of complex pipeline with multi-elastic supports. In this method, the Kriging response surface model between the support position and pipeline is established. The position of the clamp in the model is parameterized and the optimal solution of performance index is obtained by genetic algorithm. The number of clamps and the interval between clamps are considered as the constraints of layout optimization, and the optimization objective is the natural frequencies of pipeline. Taking a typical offshore pipeline as example to demonstrate the effectiveness of the proposed method, the results show that the vibration performance of the hydraulic pipeline system is distinctly improved by the optimization procedure, which can provide reasonable guidance for the design of complex hydraulic pipeline system.

scholarly journals Digitalization in Open-Pit Mining: A New Approach in Monitoring and Control of Rock Fragmentation

2021 ◽  
Vol 11 (22) ◽  
pp. 10848
Author(s):  
Natalia Koteleva ◽  
Sergei Khokhlov ◽  
Ilia Frenkel
Keyword(s):  
Rock Mass ◽  
Digital Technologies ◽  
Open Pit ◽  
Open Pit Mining ◽  
Monitoring And Control ◽  
New Approach ◽  
And Control ◽  
The Relationship ◽  
Operational Component

Mining enterprises are widely introducing digital technologies and automation is one of such tools. Granularity monitoring, namely, the size determination of rock mass pieces is a common operational component of the processes that extract minerals by open-pit mining. The article proposes an approach that, in addition to the lump size distribution, makes it possible to estimate the lump form distribution as well. To investigate the effectiveness of monitoring the form of blasted rock mass lumps, the authors conducted experiments in four stages related to the rock condition. They include geological occurrence, explosive crushing, trommelling, and mill crushing. The relationship between these stages is presented and the change in the lumps fragment form is traced. The present article proposes an informational and analytical model of the processes at mining enterprises, extracting minerals by open-pit mining, as well as an algorithm for determining the lumps form and obtaining their distribution in the rock mass.

scholarly journals DIAMOND: A Structured Coevolution Feature Optimization Method for LDDoS Detection in SDN-IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Wencheng Yin ◽  
Yunhe Cui ◽  
Qing Qian ◽  
Guowei Shen ◽  
Chun Guo ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Denial Of Service ◽  
Optimal Solution ◽  
Solution Space ◽  
Optimization Method ◽  
Attack Detection ◽  
Detection Methods ◽  
Feature Optimization ◽  
Iot Devices ◽  
The Relationship

Software-defined networking for IoT (SDN-IoT) has become popular owing to its utility in smart applications. However, IoT devices are limited in computing resources, which makes them vulnerable to Low-rate Distributed Denial of Service (LDDoS). It is worth noting that LDDoS attacks are extremely stealthy and can evade the monitoring of traditional detection methods. Therefore, how to choose the optimal features to improve the detection performance of LDDoS attack detection methods is a key problem. In this paper, we propose DIAMOND, a structured coevolution feature optimization method for LDDoS detection in SDN-IoT. DIAMOND is consisted of a reachable count sorting clustering algorithm, a group structuring method, a comutation strategy, and a cocrossover strategy. By analysing the information of SDN-IoT network features in the solution space, the relationship between different SDN-IoT network features and the optimal solution is explored in DIAMOND. Then, the individuals with associated SDN-IoT network features are divided into different subpopulations, and a structural tree is generated. Further, multiple structural trees evolve in concert with each other. The evaluation results show that DIAMOND can effectively select optimal low-dimension feature sets and improve the performance of the LDDoS detection method, in terms of detection precision and response time.

Sign in / Sign up

Export Citation Format

Share Document