本文提出具遠端即時監控及避障功能之KNRm自走車,並使用LabVIEW圖形化程式來實現KNRm自走車之控制,參考近年世界各國地震、洪水、風災等災害頻繁,運用KNRm及LabVIEW軟體研究以遠端即時監控並透過感應元件,以製造出能夠應用於危險環境之救、勘災機器人。首先利用KNRm機器套件,組裝一台具有超音波及紅外線感測功能的自走車,接著利用LabVIEW圖形化程式,根據實際的測試狀況,建立程式庫,讓KNRm自走車能完成各項指令,再輔以KNRm上的超音波及紅外線感測器能隨時監控障礙物距離,最後運用無線遙控的方式來遠端遙控自走車並可回傳即時監控影像,當超音波及紅外線感應器偵測到障礙物到一定距離,將會停止動作以避免碰撞。經由實驗結果驗證本研究所提出的方式合理可行,此研究成果可利用在救、勘災機器人,如可持續發展進步亦可收節約人力之效。
This paper proposes that the KNRm wheeled mobile vehicle has the effect of remote monitoring and obstacle avoidance. The software uses the LabVIEW graphical program to realize the control of the KNRm wheeled mobile vehicle. With reference to the frequent earthquakes, floods, windstorms and other disasters in recent years, KNRm and The LabVIEW software research uses real-time remote monitoring and sensing components to create rescue and disaster recovery robots that can be used in hazardous environments. First of all, using the KNRm machine kit to assemble a wheeled mobile vehicle with ultrasonic and infrared sensing functions, and then using the LabVIEW software editing program to create a library based on the actual test conditions, so that the KNRm can complete the commands. In addition, the ultrasonic and infrared sensors on the KNRm can monitor the obstacle distance at any time. Finally, the wireless remote control method can be used to remotely control the wheeled mobile vehicle and return the real-time monitoring image. When the ultrasonic and infrared sensors detect obstacles and the object reaches a certain distance, it will stop moving to avoid collision. Through the experimental results, it is verified that the method proposed by the research institute should be reasonable and feasible. The research results can be used in rescue and disaster recovery robots, such as sustainable development and progress can also save manpower.