Design and Development of Ergonomic Test Platform of Armored Vehicle Information System

doi:10.3969/j.issn.1000-1093.2019.07.024

Abstract

Abstract: An ergonomic test platform of armored vehicle information system is designed and developed to meet the requirement of ergonomic experiment of crew information operation in armored vehicles. The system scheme of test platform is analyzed, including main control system, simulation and test system, and data processing system. Test cabin and console, operation simulator, integrated test device were designed according to the real vehicle situation. Main control, information terminal and fire simulation software were developed. Embedded test method is used to embed the performance test function into the process of operation simulation. The effectiveness and practicality of test platform are demonstrated by a specific example. The results show that the test platform can realize the whole-course test of information operation performance, and the integrated test of cognitive ability, mental workload and physiological parameters. The influences of relative factors on crew information operation performance can be discriminated effectively. Key

Key words: armoredvehicle, informationsystem, testplatform, ergonomics

CLC Number:

TJ810.6

FU Binhe, LIU Weiping, LIU Xixia, SONG Haijun. Design and Development of Ergonomic Test Platform of Armored Vehicle Information System[J]. Acta Armamentarii, 2019, 40(7): 1537-1545.

References

［1］毛明, 刘勇, 胡建军. 坦克装甲车辆综合电子信息系统的总体设计研究[J]. 兵工学报, 2017, 38(6):1192-1202.
MAO M, LIU Y, HU J J. Research on the overall design of integrated electronic information system for tanks and armored vehicles[J]. Acta Armamentarii, 2017, 38(6): 1192-1202. (in Chinese)
[2］马冶家, 周前祥. 航天工效学[M]. 北京:国防工业出版社, 2003:12-14.
MA Y J, ZHOU Q X. Space ergonomics[M]. Beijing: National Defense Industry Press, 2003: 12-14. (in Chinese)
[3］ AMREIN B E, CASSENTI D N, COSENZO K A, et al. Human research and engineering directorate, major laboratory programs: current thrust areas and recent research[R]. Aberdeen Proving Ground, MD, US: Army Research Laboratory, 2010: 18-19.
[4］ MITCHELL D K. Advanced improved performance research integration tool (IMPRINT) vetronics technology test bed model development[R]. Aberdeen Proving Ground, MD, US: Army Research Laboratory, 2003: 3-6.
[5］ MITCHELL D K, ABOUNADER B, HENRY S, et al. A procedure for collecting mental workload data during an experiment that is comparable to IMPRINT workload data[R]. Aberdeen Proving Ground, MD, US: Army Research Laboratory, 2009: 1-9.
[6］ SALMON P M, LENN M G, TRIGGS T, et al. The effects of motion on in-vehicle touch screen system operation: a battle management system case study[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2011, 14(6): 494-503.
[7］ GOODE N, LENNE M G, SALMON P. The impact of on-road motion on BMS touch screen operation[J]. Ergonomics, 2012, 55(9): 986-996.
[8］ ABICH J, REINERMAN-JONES L, MATTHEWS G. Impact of three task demand factors on simulated unmanned system intelligence, surveillance, and reconnaissance operations[J]. Ergono-mics, 2017, 60(6): 791-809.
[9］ REINERMAN-JONES L, BARBER D, LACKEY S J, et al. Developing methods for utilizing physiological measures[M]∥TADEUSZ M, WALDEMAR K, RICE V. Advances in understanding human performance: neuroergonomics, human factors design, and special population. Boca Raton, FL, US: CRC Press, 2010: 102-110.

[10］周伯河, 陈善广, 刘玉庆, 等. 航天员空间操作人因分析一体化仿真平台[J]. 航天医学与医学工程, 2014, 27(3):199-204.
ZHOU B H, CHEN S G, LIU Y Q, et al. An integrated simulation platform for human factors analysis of astronaut space operations[J]. Space Medicine & Medical Engineering, 2014, 27(3): 199-204. (in Chinese)
[11］张玉刚, 薛红军, 栾义春, 等. 无人机地面控制系统操作员控制台设计与仿真[J]. 火力与指挥控制, 2008, 33(10):141-143,148.
ZHANG Y G, XUE H J, LUAN Y C, et al. The design and simulation of UCAV GCS operator console[J]. Fire Control and Command Control, 2008, 33(10): 141-143, 148. (in Chinese)
[12］尹清松, 廖前芳, 周前祥, 等. 基于JACK的驾驶姿势的下肢关节受力及舒适度分析[J]. 航天医学与医学工程, 2016, 29(6):440-445.
YIN Q S, LIAO Q F, ZHOU Q X, et al. Analysis of lower limb joint torque and comfort in driving posture based on jack[J]. Space Medicine & Medical Engineering, 2016, 29(6): 440-445. (in Chinese)
[13］刘维平, 聂俊峰, 金毅, 等. 基于任务—网络模型的装甲车辆乘员脑力负荷评价方法研究[J]. 兵工学报, 2015, 36(9): 1805-1810.
LIU W P, NIE J F, JIN Y, et al. Study on the task division of double-crew armored vehicle based on task-network model[J]. Acta Armamentarii, 2015, 36(9): 1805-1810. (in Chinese)
[14］刘维平, 赵凯旋, 聂俊峰, 等. 基于任务的乘员脑力负荷典型主观评价方法[J]. 科学技术与工程, 2018, 18(14):131-135.
LIU W P, ZHAO K X, NIE J F, et al. Typical subjective evaluation method of mental workload of occupant based on task[J]. Science Technology and Engineering, 2018, 18(14): 131-135. (in Chinese)
[15］刘维平, 傅斌贺, 刘西侠, 等. 车载显控终端输入方式对乘员信息处理能力影响试验研究[J]. 兵工学报, 2015, 36(11): 2180-2184.
LIU W P, FU B H, LIU X X, et al. Experimental study of influence of input models of vehicle-mounted display and terminal on crew's information processing capability[J].Acta Armamentarii, 2015, 36(11): 2180-2184. (in Chinese)
[16］傅斌贺, 刘维平, 刘西侠, 等. 基于认知能力的乘员信息作业行为差异致因分析[J]. 航天医学与医学工程, 2019, 32(1): 19-24.
FU B H, LIU W P, LIU X X, et al. Causation analysis of difference in crew information operation behavior based on cognitive ability[J]. Space Medicine & Medical Engineering, 2019, 32(1): 19-24. (in Chinese)
[17］傅斌贺, 刘维平, 聂俊峰, 等. 考虑认知行为差异的乘员信息作业绩效研究[J]. 兵工学报, 2019, 40(3):659-665.
FU B H, LIU W P, NIE J F, et al. Research on crew's information operation performance with the difference of cognitive behavior[J]. Acta Armamentarii, 2019, 40(3): 659-665. (in Chinese)

第40卷
第7期2019 年7月兵工学报ACTA
ARMAMENTARIIVol.40No.7Jul.2019

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