CHEMICAL ENGINEERING JOURNAL
·
2022
·
IF 16.744
Shuai Zhang,Yin Zhang,Yanping Huang,Bingqun Lin,Shengjie Ling,Changtong Mei,Mingzhu Pan
With the acceleration of urbanization, energy-efficient, comfortable, and lightweight materials have been growing widely used. An ideal real-time monitoring strategy integrated with prominent fire sensing capability, flame retardancy, and embedded in communication network Internet of Things (IoT) remains a huge concern. Here, we develop a sensitive and durable fire alarm intelligent coating strategy based on a metal-insulator transitional Ti 3 O 5 via a layer-by-layer assembly (LBL). We elucidate the atomic structure, electronic band, and orbital structure of Ti 3 O 5 correlated from the charge-ordered β-phase (electrical insulation state) to valence-delocalized of α-phase (electrical conduction state) during switchable temperature by density functional theory (DFT) calculations. Accordingly, a thermally activated electron jump among the localized states facilitates the early fire alarm with a sensitive fire response time (∼3.78 s) and an excellent response repeatability. Moreover, the fire alarm coating also performs the remarkable flame retardancy, smoke suppression and weatherability. This work provides a promising routine to realize the condensed matter as advanced fire sensors, offering insights into fire alarm towards smart phones, cloud service, and a central control system through IoT for fire prevention and protection application.
研究领域:
材料科学
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消防工程
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电子与通信技术
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产品关联
DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2021
·Vol. 31
·期 50
·2106673
·
IF 18.808
Jize Liu,Quanquan Guo,Xinxing Zhang,Jinggang Gai,Chuhong Zhang
Stimulus-responsive materials with designable integrated functions bridge the intelligent systems in future lifestyles with the Internet of Things (IoT). The growing trend for IoT and corresponding advanced devices will involve a great number of electronic disposables, which may place heavy burdens on the environment. Here, an elaborately designed multistage responsive material is reported for real-time, reversible light-writing based on organized stage-by-stage responsive behaviors and polarity-dependent physicochemical fluorescence response, where the stimulus is accurately delivered through a completely reversible “light-heat-fluorescence” pathway. The resulted materials can be pollution-freely written by hand-controlled near-infrared laser within 5 s, spontaneously erased within 20 s, and exhibit excellent re-writing ability (more than 5000 times while the variance of chromaticity coordinates <0.0008), which is difficult to achieve by traditional laser writing technologies. This study is a step toward high-performance long-life functional devices based on reversible multistage responsive materials for future IoT lifestyles.
研究领域:
材料科学
·
环境科学
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产品关联
DOI
高影响因子
RSC Advances
·
2021
·Vol. 11
·期 31
·19106-19112
·
IF 3.361
Xutao Yu,Haonan Zheng,Yanghua Lu,Runjiang Shen,Yanfei Yan,Zhenzhen Hao,Yiwei Yang,Shisheng Lin
With the fast development of the internet of things (IoTs), distributed sensors are frequently used and small and portable power sources are highly demanded. However, current portable power sources such as lithium batteries have low capacity and need to be replaced or recharged frequently. A portable power source which can continuously generate electrical power in situ will be an ideal solution. Herein, we demonstrate a wind driven semiconductor electricity generator based on a dynamic Schottky junction, which can output a continuous direct current with an average value of 4.4 mA (with a maximum value of 8.4 mA) over 740 seconds. Compared with a previous metal/semiconductor generator, the output current is one thousand times higher. Furthermore, this wind driven generator has been used as a turn counter, due to its stable output, and also to drive a graphene ultraviolet photodetector, which shows a responsivity of 35.8 A W−1 under 365 nm ultraviolet light. Our research provides a feasible method to achieve wind power generation and power supply for distributed sensors in the future.
研究领域:
材料科学
·
能源技术
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产品关联
DOI
PubMed
高影响因子
Nano-Micro Letters
·
2022
·Vol. 15
·期 1
·1-18
·
IF 23.655
Shi Bori,Wang Pingyang,Feng Jingyun,Xue Chang,Yang Gaojie,Liao Qingwei,Zhang Mengying,Zhang Xingcai,Wen Weijia,Wu Jinbo
The split-ring topography is studied systematically from wettability, evaporation assembly to optoelectronic devices.
An efficient dual-function laser etching scheme has been developed to fabricate the split-ring lyophilic pattern and the lateral electrode array simultaneously.
A non-contact human-machine interface based on CsPbBr 3 perovskite photodetector arrays has been successfully applied to wearable devices, automobile displays, robot remote control.
研究领域:
材料科学
·
光电子学
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传感器技术
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产品关联
DOI
PubMed
高影响因子
Nano Energy
·
2018
·
IF 13.12
Xuan Zhao,Zhuo Kang,Qingliang Liao,Zheng Zhang,Mingyuan Ma,Qian Zhang,Yue Zhang
In the Internet of things (IoT), motion sensor in the perceptual layer is at the forefront of the information collection, which plays a crucial role in the IoT. However, with a large number of commercial applications, several problems of motion sensor limit the development of IOT such as poor portability, poor environmental adaptability, and high energy consumption, etc. In this work, an ultralight, self-powered and self-adaptive motion sensor (UMS) is reported. Total mass of the UMS is less than 20 mg. Self-powered characteristic of the UMS is achieved based on the principle of triboelectric nanogenerator by using the coupling of triboelectrification and electrostatic induction as governed by the Maxwell's displacement current. Moreover, the UMS shows satisfactory self-adaptive performance of both temperature and humidity, less-sensitive to temperature in surroundings, from 15 ℃ to 60 ℃, and ambient humidity under 90% RH. Furthermore, sensing signals triggered by different motion behaviors, such as grasping, walking, stooping and so on, can be distinguished by the processor clearly, which can be applied to motion recognition and machine control. This work presents a novel UMS with characteristics of portability, energy conservation and environmental friendliness. The UMS shows broad prospect in perceptual layer application in IoT.
研究领域:
纳米能源
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传感器技术
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物联网
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微纳系统
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智能感知
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生物医学工程
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可穿戴设备
✓ 已验证
DOI
高影响因子
eScience
·
2023
·
IF 0
Qikai Li,Cheng-Gong Han,Shuaihua Wang,Cai-Chao Ye,Xinbo Zhang,Xiao Ma,Tao Feng,Yuchen Li,Weishu Liu
Ionic thermoelectric (i-TE) technologies can power Internet of Things (IoT) sensors by harvesting thermal energy from the environment because of their large thermopowers. Present research focuses mostly on using the interactions between ions and matrices to enhance i-TE performance, but i-TE materials can benefit from utilizing different methods to control ion transport. Here, we introduced a new strategy that employs an ion entanglement effect. A giant thermopower of 28 mV K −1 was obtained in a quasi-solid-state i-TE Gelatin-CF 3 SO 3 K–CH 3 SO 3 K gel via entanglement between C F 3 S O 3 − and C H 3 S O 3 − anions. The anionic entanglement effect involves complex interactions between these two anions, slowing anionic thermodiffusion and thus suppressing bipolar effects and boosting p-type thermopower. A Au@Cu | Gelatin-CF 3 SO 3 K–CH 3 SO 3 K | Au@Cu i-TE device with a generator mode delivers a specific output energy density of 67.2 mJ m −2 K −2 during 2 h of discharging. Long-term operation of the i-TE generator for 10 days shows that the harvested energy density offers an average of 2 J m −2 per day in a cyclic working-reactivation model at a temperature difference of 6 K. The results demonstrate that anionic entanglement is an effective strategy for achieving giant thermopower with i-TE gels, so they have excellent potential for powering IoT sensors.
研究领域:
材料科学
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能源技术
✓ 已验证
DOI
Nano Energy
·
2024
·
IF 16.8
Jizhong Deng,Zhiyi Wu,Xiaoqing Huo,Yongyang Chen,Hao Qian,Tian Tang,Xiang Ge,Yuanyu Wang
With the exponential development of the Internet of Things (IoTs), big data , and artificial intelligence (AI), smart home technologies have become crucial to people's lives and the construction of smart cities, driving an increasing demand for distributed sensors. In this work, we have for the first time successfully fabricated smart ceramic tiles (SCTs) that integrate electrodes with ceramic tiles using a layer-by-layer temperature gradient sintering method. These SCTs, which are based on triboelectric nanogenerator (TENG) technology, not only demonstrate high sensitivity and good stability, but also offer the potential for high concealment by adjusting glaze composition and color. Under various motion triggers, the SCTs produced high-discrimination electrical output signals, which proves their potential in behavior recognition. Extreme environmental tests further confirmed the SCTs' superior responsiveness. A wireless security monitoring system for SCT sensing, which was developed using IoT chips, enables remote monitoring via mobile devices. This study not only demonstrates the commercial feasibility of SCTs but also highlights their immense potential for imperceptible monitoring within the smart home domain.
研究领域:
材料科学
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智能技术
·
电子工程
✓ 已验证
产品关联
DOI
高影响因子
ADVANCED MATERIALS
·
2024
·Vol. 36
·期 35
·2405035
·
IF 27.4
Feifei Zhao,Changyu Li,Shaohui Li,Bin Wang,Bingkun Huang,Kun Hu,Linhua Liu,William W. Yu,Haizeng Li
Integration of solar cells and electrochromic windows offers crucial contributions to green buildings. Solar-charging zinc anode-based electrochromic devices (ZECDs) present opportunities for addressing the solar intermittency issue. However, the limited energy storage capacity of ZECDs results in wasted harnessing of solar energy as well as overcharging. Herein, spectral-selective dual-band ZECDs that continuously transport solar energy to indoor appliances by remotely controlling the repeated bleached-tinted cycles during the daytime, are reported. Hexagonal phase cesium-doped tungsten bronze (h-Cs 0.32 WO 3 , CWO) nanocrystals are adopted for dual-band ZECDs due to their independent control ability of near-infrared (NIR) and visible (VIS) light transmittance (∆T = 73.0%, 700 nm; ∆T = 83.7%, 1200 nm) and excellent cycling stability (0.8% optical contrast decay at 1200 nm after 10 000 cycles). The prototype device (i.e., CWO//Zn//CWO) delivers extraordinary thermal insulation capability, displaying a 10 °C difference between “bright” and “dark” modes. Furthermore, an Internet of Things (IoT) controller to control the NIR and VIS lights of the CWO//Zn//CWO window wirelessly with a smartphone, empowering the continuous discharging of the solar-charged window during the daytime remotely, is developed. Such windows represent an intriguing potential technology whose future impact on green buildings may be substantial.
研究领域:
材料科学
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能源技术
·
智能建筑
✓ 已验证
产品关联
DOI
PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2025
·
IF 13.2
Yunfeng Wang,Haibao Mu,Shasha He,Huanmin Yao,Shuai Wang,Yiyun Yang,Guanjun Zhang
In the Internet of Things (IoT) era, self-powered sensors provide an effective way to solve the energy problem. In this paper, a V 2 CTx-BaTiO 3 -V 2 CTx@Ecoflex (VBV) composite dielectric layer membrane with a sandwich structure is proposed and used to construct self-powered flexible sensor devices. Due to the charge trapping ability of the V 2 CTx layer with abundant functional groups and the charge storage ability of the BaTiO 3 layer, the charge loss of the device during contact- separation gets reduced, which improves the TENG output performance. The peak voltage of VBV-TENG is up to 550 V, which is 1.6 and 1.8 times higher than the output of TENG based on V 2 CTx and BaTiO 3 doping in separate, respectively. The VBV-TENG can light up to 400 LEDs under tapping and achieve a power density of 12.8 W/m 2 with optimal impedance matching. It can not only be used as an energy-harvesting device, but has also been shown to be a self-powered pressure sensor with an ultra-high sensitivity of 23.7 V/kPa, which can be used for the monitoring of human movement physiological signals. Finally, a self-powered flexible material recognition sensor based on the VBV composite dielectric layer is constructed by rational design, which realizes the effective recognition of various materials. This study provides a new pathway for design of high-performance dielectric layer of TENG, and explores the application of realizing multifunctional self-powered sensors based on TENG.
研究领域:
材料科学
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能源技术
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传感器技术
✓ 已验证
产品关联
DOI
高影响因子
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
·
2024
·Vol. 35
·期 10
·1-13
·
IF 2.8
Ge Rui,Shi Bin,Liu Xiaobo,Yin Bing
With the development of the internet of things technology, sensors have played an important role in aerospace, industry, agriculture, medical and other fields. Especially in the aspect of wearable respiratory monitoring, real-time monitoring of multiple respiratory physiological parameters through intelligent sensors enable people to achieve early prevention and timely diagnosis of respiratory diseases. However, most of the humidity sensors have the disadvantages of poor permeability, long response time and narrow detection range. Therefore, this paper introduced a flexible humidity sensor with a wide detection range and fast response time for respiratory monitoring. The sensor used PEDOT:PSS-GO composite material as humidity sensitive material. Due to the addition of GO, the sensor had a wide linear detection range of humidity (35–80%RH) and a short response/recovery time (0.53/0.8 s). Moreover, the sensor used the micromesh structure of PI as the substrate, which had better flexibility and permeability and the sensor was easy to attach to complex surfaces such as masks or human skin. Based on these excellent sensing characteristics, the humidity sensor was connected with a miniature wireless communication component for human respiratory detection. The humidity sensor can clearly show the difference between normal and abnormal respiratory signals and this provided a new idea for the intelligent healthcare technology.
研究领域:
传感器
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可穿戴技术
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医疗保健
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材料科学
·
物联网
✓ 已验证
产品关联
DOI
高影响因子
Infectious Diseases of Poverty
·
2021
·Vol. 10
·期 1
·1-12
·
IF 4.388
Yang Shi-Jie,Xiao Ning,Li Jing-Zhong,Feng Yu,Ma Jun-Ying,Quzhen Gong-Sang,Yu Qing,Zhang Ting,Yi Shi-Cheng,Zhou Xiao-Nong
Background As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the Qinghai-Tibet Plateau, the harsh climate, low socio-economic status, poor overall hygiene, and remote and insufficient access to all owned dogs exacerbate the difficulty in implementing the ambitious control programme for echinococcosis. We aimed to design and implement a remote management system (RMS) based on internet of things (IoT) for control and surveillance of echinococcosis by combining deworming devices to realise long-distance smart deworming control, smooth statistical analysis and result display. New methods and tools are urgently needed to increase the deworming coverage and frequency, promote real-time scientific surveillance, and prevent transmission of echinococcosis in remoted transmission areas. Methods From 2016 to 2019, we had cooperated and developed the smart collar and smart feeder with the Central Research Institute of Shanghai Electric Group Co., Ltd. (Shanghai, China) and Shenzhen Jizhi Future Technology Co., Ltd. (Shenzhen, China). From September 2019 to March 2020, We had proposed the RMS based on IoT as a novel tool to control smart deworming devices to deliver efficient praziquantel (PZQ) baits to dogs regularly and automatically and also as a smart digital management platform to monitor, analyse, and display the epidemic trends of echinococcosis dynamically, in real time in Hezuo City, Gannan Tibetan Autonomous Prefecture, Gansu Province, China. Starting from January 2018, The RMS has been maintained and upgraded by Shanghai Yier Information Technology Co., Ltd (Shanghai, China). The database was based on MySQL tools and the Chi-square test was used to probe the difference and changes of variables in different groups. Results The smart collars are fully capable of anti-collision, waterproof, and cold-proof performance, and the battery’s energy is sufficient, the anti-collision rate, water-proof rate, cold-proof rate and voltage normal rate is 99.6% (521/523), 100.0% (523/523), 100.0% (523/523) and 100.0% (523/523), respectively. The RMS can accurately analyse the monitoring data and parameters including positive rates of canine faeces, and the prevalence of echinococcosis in the general population livestock, and children. The data of dogs deworming and surveillance for echinococcosis is able to be controlled using RMS and has expanded gradually in townships to the whole Hezuo region. The automatic delivering PZQ rate, collar positioning rate, deliver PZQ reminding rate, and fault report rate is 91.1% (1914/2102), 92.1% (13 580/14 745), 92.1% (1936/2102) and 84.7% (1287/1519), respectively. After using the RMS from 2019, the missing rate of monitoring data decreased from 32.1% (9/28) to 0 (0/16). A total of 48 administrators (3, 3, 8, 11, 23 at the provincial, municipal, county, township, village levels, respectively) participated in the questionnaire survey, with 93.8% of its overall satisfaction rate. Conclusions The existing difficulties and challenges in the way of prevention and control for echinococcosis can partially be resolved using the innovative, IoT-based technologies and tools. The proposed RMS advance the upgrade of existing manual prevention and control models for echinococcosis, especially in the current ongoing COVID-19 pandemic, as social distance and community blockade continue. Graphic abstract
研究领域:
公共卫生
·
兽医学
·
远程医疗
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传染病学
·
科技与医疗
✓ 已验证
DOI
高影响因子
Small
·
2025
·Vol. 21
·期 20
·2501073
·
IF 12.1
Shouchuang Jia,Xiya Yang,Weizhao Feng,Liqiang Liu,Leilei Zhao,Lebing Wu,Shuling Li,Wending Zuo,Qunwei Tang,Tao Jiang,Zhonglin Wang
With the rapid development of Internet of Things (IoT) technology, sensors have become the most important nodes for information exchange in the IoT. However, ensuring stable power supply and network communication of a plethora of distributed sensing nodes has become the key technical bottleneck that restricts the development of marine IoT. Herein, a self-adaptive gyroscope-structured hybrid triboelectric-electromagnetic nanogenerator (SAG-HTENG) is designed for omnidirectional wave energy harvesting. Through seamlessly integrating an electromagnetic generator (EMG) and triboelectric nanogenerator (TENG) modules into one device, the wave energy conversion efficiency can be significantly enhanced. Furthermore, through incorporating ferromagnetic electrode, remarkable peak power density of 29.92 W m −3 Hz −1 of the TENG module and 402.08 W m −3 Hz −1 of the EMG module can be achieved, respectively. Meanwhile, the TENG module exhibited superior working stability and applicability for harvesting low-frequency wave energy in a water tank field test compared to the EMG module. Leveraging the IoT platform, a self-powered real-time ocean currents monitoring buoy system (OCMBS) is constructed of determining the wave direction and current type. This work offers a novel energy solution for the distributed sensing nodes toward future smart marine IoT.
研究领域:
能源技术
·
传感器技术
·
海洋工程
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）