V2Hz: Music composition from wind turbine energy using a finite-state machine

2017 28th Irish Signals and Systems Conference (ISSC) Pub Date : 2017-06-01 DOI:10.1109/ISSC.2017.7983637

Mark E. O'Sullivan, B. Srbinovski, A. Temko, E. Popovici, H. McCarthy

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引用次数: 2

Abstract

The study presents a multi-disciplinary application of the Internet of Things (IoT) benefiting both the engineering and music community. A music composition algorithm based on a finite-state machine was designed to receive and manipulate wind turbine voltage output data into a musically aesthetic composition. The algorithm adapts common western music theory and imposes these limitations on the wind turbine output voltage stream. The front-end of the system employs various transmission protocols. The data is streamed to a server on-site at the wind farm using transmission control protocol, and then received offsite via TCP/IP. The back-end of the system processes the digital signals, and finally constructs Musical Instrument Digital Interface messages, which can be routed to a host of various music synthesis software programs. The voltage output values of each wind turbine are directly represented in both the amplitude and frequency characteristics of the audio. Thus, the audio serves as an accurate real-time monitoring and maintenance tool for the wind farm data from an offsite location.

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V2Hz:使用有限状态机的风力涡轮机能量作曲

该研究提出了物联网(IoT)的多学科应用，使工程界和音乐界都受益。设计了一种基于有限状态机的音乐作曲算法，用于接收和处理风力发电机电压输出数据，并将其转化为音乐美学作曲。该算法采用了西方通用的音乐理论，并对风力机输出电压流施加了这些限制。系统前端采用了多种传输协议。数据通过传输控制协议流传输到风电场的服务器上，然后通过TCP/IP在场外接收。系统的后端对数字信号进行处理，最后构造乐器数字接口消息，这些消息可以路由到主机上的各种音乐合成软件程序。每台风机的电压输出值直接表现在音频的幅值和频率特性中。因此，音频可以作为一个精确的实时监控和维护工具，用于从非现场位置获取风电场数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 28th Irish Signals and Systems Conference (ISSC)

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