CAJ | 학술논문

针对塔机防碰撞以缺乏灵活性和时实性的被动防御为主的现状，为实现智能化主动防碰撞的目的，通过分析障碍物轮廓与超声测距时间序列间的映射关系，以时间融合的思想引入Elman网络，并通过变形输入输出实现了单超声传感器由测距序列快速识别障碍物高精度位置信息的功能，并经试验验证可以达到预期低成本、快速度、高精度的塔机工作使用要求，也为低精度传感器获取高精度融合结果提出借鉴思路。
침대탑궤방팽당이결핍령활성화시실성적피동방어위주적현상，위실현지능화주동방팽당적목적，통과분석장애물륜곽여초성측거시간서렬간적영사관계，이시간융합적사상인입Elman망락，병통과변형수입수출실현료단초성전감기유측거서렬쾌속식별장애물고정도위치신식적공능，병경시험험증가이체도예기저성본、쾌속도、고정도적탑궤공작사용요구，야위저정도전감기획취고정도융합결과제출차감사로。
Aiming at intelligent active anti-collision, to better improve the passive security model of tower crane which lacks flexibility and simultaneity, analyzing the mapping mode between obstacle’s outline and ultrasonic distance measurement time series,combining with the Elman network in time fusion,a practical mode was created which applies singular ultrasonic sensor to rapidly identify the precise position data by distance sequence through deformed input and output, which has been experimentally verified that it can satisfy the tower crane working requirements with low cost, high speed and high precision, and it simultaneously provides a better option for low precision sensor to acquire highly precise output.