CAJ | 학술논문

研究物联网框架下风电机组远程状态精确监控。物联网框架下的风电机组中形成设备互动，由于频繁互动会对各种远程信号状态带来干扰，造成状态信号发生非规则形变，提取信号失真。传统的监控方法在信号形变的情况下很难有效对其特征进行提取，造成监控不准。提出混沌粒子融合算法的物联网架构下风电机组远程状态监控方法。建立集成监测模型，将风电机组监控信号输入到该模型中，提取与风电机组状态相关的信号，将其作为风电机组远程状态监测的依据。将混沌粒子群算法与信号融合算法相结合，从而对失真信号进行补偿。在物联网架构下利用改进算法对风电机组远程状态进行监测，将监测数据传输到控制端。实验结果表明，利用改进算法进行物联网架构下风电机组远程检测，能够监测风电机组的运行状态，从而保障风电机组的正常运行。
연구물련망광가하풍전궤조원정상태정학감공。물련망광가하적풍전궤조중형성설비호동，유우빈번호동회대각충원정신호상태대래간우，조성상태신호발생비규칙형변，제취신호실진。전통적감공방법재신호형변적정황하흔난유효대기특정진행제취，조성감공불준。제출혼돈입자융합산법적물련망가구하풍전궤조원정상태감공방법。건립집성감측모형，장풍전궤조감공신호수입도해모형중，제취여풍전궤조상태상관적신호，장기작위풍전궤조원정상태감측적의거。장혼돈입자군산법여신호융합산법상결합，종이대실진신호진행보상。재물련망가구하이용개진산법대풍전궤조원정상태진행감측，장감측수거전수도공제단。실험결과표명，이용개진산법진행물련망가구하풍전궤조원정검측，능구감측풍전궤조적운행상태，종이보장풍전궤조적정상운행。
This paper studied the accurate monitoring of wind turbine generator's remote condition under internet of things architecture. In the paper, we presented a monitoring method of wind turbine generator's remote condition under IOT architecture based on chaotic particle fusion algorithm. Integrated monitoring model was built, and monitor signals of the wind turbine generator were input to the model, then the signals related to the state of wind turbine gen-erator were extracted, and made them as the basis of remote condition monitoring of wind turbine generator. The cha-otic particle swarm optimization (CPSO) algorithm was combined with signal fusion algorithm, so as to compensate the distortion of signal. Using the improved algorithm for wind turbines remote condition monitoring of wind turbine generator under IOT architecture, the monitoring data were transferred to the control side. Experimental results show that the improved algorithm for remote detection of wind turbine generator under IOT architecture can monitor the run-ning state, so as to guarantee the normal operation of the wind turbine generator.