scholarly journals Recent Advances in Self-Powered Piezoelectric and Triboelectric Sensors: From Material and Structure Design to Frontier Applications of Artificial Intelligence

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8422
Author(s):  
Zetian Yang ◽  
Zhongtai Zhu ◽  
Zixuan Chen ◽  
Mingjia Liu ◽  
Binbin Zhao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Material Design ◽  
Structure Design ◽  
Flexible Sensors ◽  
Limited Life ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Application Fields ◽  
The Internet Of Things ◽  
Development Prospects

The development of artificial intelligence and the Internet of things has motivated extensive research on self-powered flexible sensors. The conventional sensor must be powered by a battery device, while innovative self-powered sensors can provide power for the sensing device. Self-powered flexible sensors can have higher mobility, wider distribution, and even wireless operation, while solving the problem of the limited life of the battery so that it can be continuously operated and widely utilized. In recent years, the studies on piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs) have mainly concentrated on self-powered flexible sensors. Self-powered flexible sensors based on PENGs and TENGs have been reported as sensing devices in many application fields, such as human health monitoring, environmental monitoring, wearable devices, electronic skin, human–machine interfaces, robots, and intelligent transportation and cities. This review summarizes the development process of the sensor in terms of material design and structural optimization, as well as introduces its frontier applications in related fields. We also look forward to the development prospects and future of self-powered flexible sensors.

scholarly journals Progress on Self-Powered Wearable and Implantable Systems Driven by Nanogenerators

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 666
Author(s):  
Lanxin Yang ◽  
Zhihao Ma ◽  
Yun Tian ◽  
Bo Meng ◽  
Zhengchun Peng
Keyword(s):  
Mechanical Energy ◽  
Rapid Development ◽  
Electronic Devices ◽  
High Sensitivity ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
The Internet Of Things ◽  
Piezoelectric Nanogenerators

With the rapid development of the internet of things (IoT), sustainable self-powered wireless sensory systems and diverse wearable and implantable electronic devices have surged recently. Under such an opportunity, nanogenerators, which can convert continuous mechanical energy into usable electricity, have been regarded as one of the critical technologies for self-powered systems, based on the high sensitivity, flexibility, and biocompatibility of piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs). In this review, we have thoroughly analyzed the materials and structures of wearable and implantable PENGs and TENGs, aiming to make clear how to tailor a self-power system into specific applications. The advantages in TENG and PENG are taken to effectuate wearable and implantable human-oriented applications, such as self-charging power packages, physiological and kinematic monitoring, in vivo and in vitro healing, and electrical stimulation. This review comprehensively elucidates the recent advances and future outlook regarding the human body’s self-powered systems.

scholarly journals Nanogenerator-based self-powered sensors for data collection

2021 ◽  
Vol 12 ◽  
pp. 680-693
Author(s):  
Yicheng Shao ◽  
Maoliang Shen ◽  
Yuankai Zhou ◽  
Xin Cui ◽  
Lijie Li ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Implantable Devices ◽  
Environmental Data ◽  
Physiological Data ◽  
The Internet ◽  
Rich Variety ◽  
Material Compatibility ◽  
Self Powered ◽  
The Internet Of Things

Self-powered sensors can provide energy and environmental data for applications regarding the Internet of Things, big data, and artificial intelligence. Nanogenerators provide excellent material compatibility, which also leads to a rich variety of nanogenerator-based self-powered sensors. This article reviews the development of nanogenerator-based self-powered sensors for the collection of human physiological data and external environmental data. Nanogenerator-based self-powered sensors can be designed to detect physiological data as wearable and implantable devices. Nanogenerator-based self-powered sensors are a solution for collecting data and expanding data dimensions in a future intelligent society. The future key challenges and potential solutions regarding nanogenerator-based self-powered sensors are discussed.

scholarly journals Triboelectric Energy Harvesting Response of Different Polymer-Based Materials

Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4980
Author(s):  
Tiago Rodrigues-Marinho ◽  
Nelson Castro ◽  
Vitor Correia ◽  
Pedro Costa ◽  
Senentxu Lanceros-Méndez
Keyword(s):  
Energy Harvesting ◽  
Output Power ◽  
Polyvinylidene Fluoride ◽  
Light Emission ◽  
Mechanical Energy ◽  
Harvesting Systems ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Vertical Contact ◽  
The Internet Of Things

Energy harvesting systems for low-power devices are increasingly being a requirement within the context of the Internet of Things and, in particular, for self-powered sensors in remote or inaccessible locations. Triboelectric nanogenerators are a suitable approach for harvesting environmental mechanical energy otherwise wasted in nature. This work reports on the evaluation of the output power of different polymer and polymer composites, by using the triboelectric contact-separation systems (10 N of force followed by 5 cm of separation per cycle). Different materials were used as positive (Mica, polyamide (PA66) and styrene/ethylene-butadiene/styrene (SEBS)) and negative (polyvinylidene fluoride (PVDF), polyurethane (PU), polypropylene (PP) and Kapton) charge materials. The obtained output power ranges from 0.2 to 5.9 mW, depending on the pair of materials, for an active area of 46.4 cm2. The highest response was obtained for Mica with PVDF composites with 30 wt.% of barium titanate (BT) and PA66 with PU pairs. A simple application has been developed based on vertical contact-separation mode, able to power up light emission diodes (LEDs) with around 30 cycles to charge a capacitor. Further, the capacitor can be charged in one triboelectric cycle if an area of 0.14 m2 is used.

scholarly journals Advances in Smart Sensing and Medical Electronics by Self-Powered Sensors Based on Triboelectric Nanogenerators

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 698
Author(s):  
Min Jiang ◽  
Yi Lu ◽  
Zhiyuan Zhu ◽  
Wenzhu Jia
Keyword(s):  
Smart Cities ◽  
Electrical Energy ◽  
Research Progress ◽  
Smart Transportation ◽  
External Power Source ◽  
External Power ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Social Applications ◽  
The Internet Of Things

With the rapid progress of artificial intelligence, humans are moving toward the era of the intelligent connection of all things. Therefore, the demand for sensors is drastically increasing with developing intelligent social applications. Traditional sensors must be triggered by an external power source and the energy consumption is high for equipment that is widely distributed and working intermittently, which is not conducive to developing sustainable green and healthy applications. However, self-powered sensors based on triboelectric nanogenerators (TENG) can autonomously harvest energy from the surrounding environment and convert this energy into electrical energy for storage. Sensors can also be self-powered without an external power supply, which is vital for smart cities, smart homes, smart transportation, environmental monitoring, wearable devices, and bio-medicine. This review mainly summarizes the working mechanism of TENG and the research progress of self-powered sensors based on TENG about the Internet of Things (IoT), robotics, human–computer interaction, and intelligent medical fields in recent years.

scholarly journals Recent developments of hybrid piezo-triboelectric nanogenerators for flexible sensors and energy harvesters

2021 ◽  
Author(s):  
Jin Zhang ◽  
Yilin He ◽  
Cyrille Boyer ◽  
Kourosh Kalantar-Zadeh ◽  
Shuhua Peng ◽  
...  
Keyword(s):  
Flexible Sensors ◽  
Energy Harvesters ◽  
New Class ◽  
Recent Developments ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Power Needs

Hybrid piezo-triboelectric nanogenerators constitute a new class of self-powered systems that exploit the synergy of piezoelectric and triboelectric mechanisms to address the energy and power needs for portable and wearable...

Study on the Application Fields and Development Prospects of Artificial Intelligence

2021 ◽  
Author(s):  
Li Xiaojun ◽  
Zhuo Xiande ◽  
Zhu Kexi ◽  
Deng Zhenli ◽  
Zhang Kai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Application Fields ◽  
Development Prospects

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

Triboelectric nanogenerator based self-powered sensor for artificial intelligence

Nano Energy ◽  
2021 ◽  
Vol 84 ◽  
pp. 105887
Author(s):  
Yuankai Zhou ◽  
Maoliang Shen ◽  
Xin Cui ◽  
Yicheng Shao ◽  
Lijie Li ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Triboelectric Nanogenerator ◽  
Self Powered

scholarly journals A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs)

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2951
Author(s):  
Yangming Liu ◽  
Jialin Liu ◽  
Lufeng Che
Keyword(s):  
Wind Speed ◽  
High Sensitivity ◽  
Electrical Signal ◽  
Geometrical Parameters ◽  
Sensor Systems ◽  
Speed Sensor ◽  
Speed Range ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Application Prospects

Triboelectric nanogenerators (TENGs) have excellent properties in harvesting tiny environmental energy and self-powered sensor systems with extensive application prospects. Here, we report a high sensitivity self-powered wind speed sensor based on triboelectric nanogenerators (TENGs). The sensor consists of the upper and lower two identical TENGs. The output electrical signal of each TENG can be used to detect wind speed so that we can make sure that the measurement is correct by two TENGs. We study the influence of different geometrical parameters on its sensitivity and then select a set of parameters with a relatively good output electrical signal. The sensitivity of the wind speed sensor with this set of parameters is 1.79 μA/(m/s) under a wind speed range from 15 m/s to 25 m/s. The sensor can light 50 LEDs at the wind speed of 15 m/s. This work not only advances the development of self-powered wind sensor systems but also promotes the application of wind speed sensing.

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