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A virtual test and evaluation method for fully mechanized mining production system with diferent smart levels

International Journal of Coal Science & Technology 2022年第3期9卷 151-170页

作者： Jiacheng Xie Fuxiang Ge Tao Cui Xuewen Wang Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment Taiyuan University of TechnologyNo.216 mailboxHuYu CampusNo.18XinKuangYuan RoadTaiyuan 030024ShanxiChina Post-Doctoral Research Workstation of Taiyuan Mining Machinery Group Co. LtdTaiyuan 030032China

A smart fully mechanized coal mining working face is comprised of various heterogeneous equipment that work together in unknown coal seam *** goal is to form a smart operational system with comprehensive perception,decisionmaking,and *** involves many work points and complex coupling relationships,indicating it needs to be performed in stages and coordinated to address key problems in all directions and along multiple ***,there are no existing unifed test or analysis ***,this study proposed a virtual test and evaluation method for a fully mechanized mining production system with diferent smart *** is based on the concept of“real data processing–virtual scene construction–setting key information points–virtual operation and evaluation.”The actual operational data for a specifc working face geology and equipment were reasonably transformed into a visual virtual scene through a movement relationship *** virtual operations and mining conditions of the working face were accurately *** on the sensor and execution error analyses for diferent smart levels,the input interface for sensing,decision-making,and control was established for each piece of equipment,and an operation evaluation system was *** system comprehensively simulates and tests the key points of sensing decision-making and control with various smart *** experimental results showed that the virtual scene constructed based on actual operational data has a high simulation *** can simulate,analyze,and evaluate the overall operations of the smart mining 2.0–4.0 working face by inputting key *** future direction for the smart development of fully mechanized mining is highlighted.

关键词： Smart mining Mining robot Digital twin Virtual simulation test and evaluation

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Integrated Framework for test and evaluation of Autonomous Vehicles

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Journal of Shanghai Jiaotong university(Science) 2021年第5期26卷 699-712页

作者： SU Yimin WANG Lin Department of Automation Key Laboratory of System Control and Information Processing of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China

Autonomous vehicles must pass effective standard tests to verify their reliability and ***-ingly,it is very important to establish a complete scientific test and evaluation system for autonomous vehicles.A comprehensive framework incorporating the design of test scenarios,selection of evaluation indexes,and estab-lishment of an evaluation system is proposed in this *** aims of the system are to obtain an objective and quantitative score regarding the intelligence of autonomous vehicles,and to form an automated process in the future *** proposed framework is built on a simulation platform to ensure the feasibility of the design and implementation of the test *** design principle for the test scenarios is also *** reduce subjective influences,the proposed framework selects objective indexes from four aspects:safety,comfort,driving performance,and standard *** order relation analysis method is adopted to formulate the index weights,and fuzzy comprehensive evaluation is used to quantify the ***,a numerical example is provided to visually demonstrate the evaluation results for the autonomous vehicles scored by the proposed framework.

关键词： test and evaluation scenario construction evaluation index autonomous vehicles

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Performance Limit evaluation Strategy for Automated Driving Systems

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Automotive Innovation 2022年第1期5卷 79-90页

作者： Feng Gao Jianwei Mu Xiangyu Han Yiheng Yang Junwu Zhou State Key Laboratory of Vehicle NVH and Safety Technology ChongqingChina College of Mechanical and Vehicle Engineering Chongqing UniversityChongqingChina Passenger Vehicle Technical Center Dongfeng Liuzhou Motor Co.LtdLiuzhouChina

Efficient detection of performance limits is critical to autonomous *** autonomous driving is difficult to be realized under complicated scenarios,an improved genetic algorithm-based evolution test is proposed to accelerate the evaluation of performance *** conducts crossover operation at all positions and mutation several times to make the high-quality chromosome exist in candidate offspring *** the normal offspring is selected statistically based on the scenario com-plexity,which is designed to measure the difficulty of realizing autonomous driving through the Analytic Hierarchy *** benefits of modified cross/mutation operators on the improvement of scenario complexity are analyzed ***,the effectiveness of improved genetic algorithm-based evolution test is validated after being applied to evaluate the collision avoidance performance of an automatic parallel parking system.

关键词： Autonomous driving test and evaluation Evolution test Genetic algorithm

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