Present triboelectric nanogenerator (TENG) devices can be used for monitoring vibration frequency, intensity and working environment. Nevertheless, vibration wave recognition cannot be achieved, owing to developed device structure and working mechanism limitation. To prevent such issues, dielectric materials (metallized cotton encapsulated by polydimethylsiloxane of gradient elastic modulus) with vibration wave transfer management strategy are applied to enhance the recognition accuracy and output performance. The TENG device with this structure can balance the vibrational energy transfer within the negative triboelectric material and the polydimethylsiloxane layer/metallized cotton interfacial strain. Additionally, the deformation/stress fields inside the device and corresponding the device working mechanisms under vibration are revealed systematically by characterizing the triboelectric signals. An increase in the maximum voltage of 50% and the number of transferred charges of 40% under vibration are achieved. A vibration perception system integrated with a TENG-based sensor, data processing and display modules is also developed, which can fully and quickly recognize the real-time triboelectric signals with approximately 61% recognition accuracy. The operating status of the equipment can be monitored from the perspective of vibration, which has laid a solid foundation for the AIoT era.

中文翻译：

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摩擦纳米发电机装置内部振动波传输管理策略提高识别精度

目前的摩擦纳米发电机（TENG）装置可用于监测振动频率、强度和工作环境。然而，由于先进的设备结构和工作机制的限制，振动波识别无法实现。为了防止此类问题，采用具有振动波传输管理策略的介电材料（梯度弹性模量的聚二甲基硅氧烷封装的金属化棉）来提高识别精度和输出性能。具有这种结构的TENG装置可以平衡负摩擦电材料内的振动能量传递和聚二甲基硅氧烷层/金属化棉界面应变。此外，通过表征摩擦电信号，系统地揭示了器件内部的变形/应力场以及振动下相应的器件工作机制。振动下最大电压增加了50%，转移电荷数增加了40%。还开发了集成了基于TENG的传感器、数据处理和显示模块的振动感知系统，可以全面、快速地识别实时摩擦电信号，识别精度约为61%。可以从振动的角度监控设备的运行状态，为AIoT时代奠定了坚实的基础。