To solve the problem of risk identification and quantitative assessment for human-computer interaction(HCI)in complex avionics systems,an HCI safety analysis framework based on system-theoretical process analysis(STPA...To solve the problem of risk identification and quantitative assessment for human-computer interaction(HCI)in complex avionics systems,an HCI safety analysis framework based on system-theoretical process analysis(STPA)and cognitive reliability and error analysis method(CREAM)is proposed.STPACREAM can identify unsafe control actions and find the causal path during the interaction of avionics systems and pilot with the help of formal verification tools automatically.The common performance conditions(CPC)of avionics systems in the aviation environment is established and a quantitative analysis of human failure is carried out.Taking the head-up display(HUD)system interaction process as an example,a case analysis is carried out,the layered safety control structure and formal model of the HUD interaction process are established.For the interactive behavior“Pilots approaching with HUD”,four unsafe control actions and35 causal scenarios are identified and the impact of common performance conditions at different levels on the pilot decision model are analyzed.The results show that HUD's HCI level gradually improves as the scores of CPC increase,and the quality of crew member cooperation and time sufficiency of the task is the key to its HCI.Through case analysis,it is shown that STPACREAM can quantitatively assess the hazards in HCI and identify the key factors that impact safety.展开更多
As an important mechanism in multi-agent interaction,communication can make agents form complex team relationships rather than constitute a simple set of multiple independent agents.However,the existing communication ...As an important mechanism in multi-agent interaction,communication can make agents form complex team relationships rather than constitute a simple set of multiple independent agents.However,the existing communication schemes can bring much timing redundancy and irrelevant messages,which seriously affects their practical application.To solve this problem,this paper proposes a targeted multiagent communication algorithm based on state control(SCTC).The SCTC uses a gating mechanism based on state control to reduce the timing redundancy of communication between agents and determines the interaction relationship between agents and the importance weight of a communication message through a series connection of hard-and self-attention mechanisms,realizing targeted communication message processing.In addition,by minimizing the difference between the fusion message generated from a real communication message of each agent and a fusion message generated from the buffered message,the correctness of the final action choice of the agent is ensured.Our evaluation using a challenging set of Star Craft II benchmarks indicates that the SCTC can significantly improve the learning performance and reduce the communication overhead between agents,thus ensuring better cooperation between agents.展开更多
为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播...为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播种控制模块采用增量式PID控制算法;横向铺设控制模块采用位置式PID控制算法,并结合YOLOv3实现草沙障的检测追踪;以触摸屏和基于蓝牙的固沙机控制Android APP为人机交互界面。控制系统试验结果表明:基于PID算法检测追踪方式与直插式铺设方式相比,采用检测追踪方式固沙机的横向犁沙宽度减小了78.7%,整车振动减小了42.6%,草沙障铺设和播种测试功能均达到样机设计预期,为智能化固沙机研究提供了一种切实可行的设计方案。展开更多
基金supported by the National Key Research and Development Program of China(2021YFB1600601)the Joint Funds of the National Natural Science Foundation of China and the Civil Aviation Administration of China(U1933106)+2 种基金the Scientific Research Project of Tianjin Educational Committee(2019KJ134)the Natural Science Foundation of TianjinIntelligent Civil Aviation Program(21JCQNJ C00900)。
文摘To solve the problem of risk identification and quantitative assessment for human-computer interaction(HCI)in complex avionics systems,an HCI safety analysis framework based on system-theoretical process analysis(STPA)and cognitive reliability and error analysis method(CREAM)is proposed.STPACREAM can identify unsafe control actions and find the causal path during the interaction of avionics systems and pilot with the help of formal verification tools automatically.The common performance conditions(CPC)of avionics systems in the aviation environment is established and a quantitative analysis of human failure is carried out.Taking the head-up display(HUD)system interaction process as an example,a case analysis is carried out,the layered safety control structure and formal model of the HUD interaction process are established.For the interactive behavior“Pilots approaching with HUD”,four unsafe control actions and35 causal scenarios are identified and the impact of common performance conditions at different levels on the pilot decision model are analyzed.The results show that HUD's HCI level gradually improves as the scores of CPC increase,and the quality of crew member cooperation and time sufficiency of the task is the key to its HCI.Through case analysis,it is shown that STPACREAM can quantitatively assess the hazards in HCI and identify the key factors that impact safety.
文摘As an important mechanism in multi-agent interaction,communication can make agents form complex team relationships rather than constitute a simple set of multiple independent agents.However,the existing communication schemes can bring much timing redundancy and irrelevant messages,which seriously affects their practical application.To solve this problem,this paper proposes a targeted multiagent communication algorithm based on state control(SCTC).The SCTC uses a gating mechanism based on state control to reduce the timing redundancy of communication between agents and determines the interaction relationship between agents and the importance weight of a communication message through a series connection of hard-and self-attention mechanisms,realizing targeted communication message processing.In addition,by minimizing the difference between the fusion message generated from a real communication message of each agent and a fusion message generated from the buffered message,the correctness of the final action choice of the agent is ensured.Our evaluation using a challenging set of Star Craft II benchmarks indicates that the SCTC can significantly improve the learning performance and reduce the communication overhead between agents,thus ensuring better cooperation between agents.
文摘为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播种控制模块采用增量式PID控制算法;横向铺设控制模块采用位置式PID控制算法,并结合YOLOv3实现草沙障的检测追踪;以触摸屏和基于蓝牙的固沙机控制Android APP为人机交互界面。控制系统试验结果表明:基于PID算法检测追踪方式与直插式铺设方式相比,采用检测追踪方式固沙机的横向犁沙宽度减小了78.7%,整车振动减小了42.6%,草沙障铺设和播种测试功能均达到样机设计预期,为智能化固沙机研究提供了一种切实可行的设计方案。
