Self-Powered ZigBee Wireless Sensor Nodes for Railway Condition Monitoring

Gao, Mingyuan; Wang, Ping; Wang, Yifeng; Yao, Lingkan

doi:10.1109/tits.2017.2709346

Cited by 98 publications

(38 citation statements)

References 20 publications

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“…Relative displacements of sleeper against ground [3] (type 1), rail sag against ground [4] (type 2), rail against sleeper [5] (type 3) and displacement of individual sleepers [6] (type 4) could be harvested using several principles of electromechanical linear generators. As well mechanical vibration of sleeper [7] (type 5) and rail [8] (type 6) could employ physical principles of vibration energy harvesting methods. The passing trains locally deform the rail and this deformation could be converted into electricity [9] (type 7) by piezoelectric layers.…”

Section: Analysis Of Mechanical Energy Harvesting Sources On Tracksidmentioning

confidence: 99%

Energy harvesting from passing train as source of energy for autonomous trackside objects

2018

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This paper deals with an energy harvesting review and analysis of an ambient mechanical energy on a trackside during a passing of a train. Trains provide very high level of vibration and deformation which could be converted into useful electricity. Due to maintenance and safety reasons a rail trackside includes sensing systems and number of sensor nodes is increased for modern transportation. Recent development of modern communication and ultra-low power electronics allows to use energy harvesting systems as autonomous source of electrical energy for these trackside objects. Main aim of this paper is model-based design of proposed vibration energy harvesting systems inside sleeper and predict harvested power during the train passing. Measurements of passing train is used as input for simulation models and harvested power is calculated. This simulation of proposed energy harvesting device is very useful for future design.

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Section: Analysis Of Mechanical Energy Harvesting Sources On Tracksidmentioning

confidence: 99%

Energy harvesting from passing train as source of energy for autonomous trackside objects

2018

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“…In our previous study, we also introduced a new proposal of rail-borne electromagnetic energy harvester for powering the wireless sensor networks in the railway industry. 7 Although a myriad of energy harvesters were proposed and fabricated, only a few studies have discussed their influence on railroad vibration response. Yuan et al 5 conducted a track-piezoelectric coupling analysis in time domain by Runge-Kutta method.…”

Section: Review Of the State Of The Artmentioning

confidence: 99%

Symplectic analysis of stationary random vibration of vehicle–track coupled system with rail-borne electromagnetic generator

Gao

Wang

2018

Advances in Mechanical Engineering

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In this article, the authors establish the vehicle-track coupled model of smart railway track with rail-borne electromagnetic generator and conduct a symplectic analysis in frequency domain. A vehicle-track model considering vehicle traveling load is constructed, and the pseudo-excitation method is used. The frequency-dependent stiffness of rail pad is involved in the calculation model to get accurate results of rail natural frequency. The calculated results indicate that the smart railway track with electromagnetic generator will not affect the random vibration response of vehicle and bogie, but it could have certain influences on the wheelset and under-rail structure, especially the vibration response of rail, whose acceleration Power Spectrum Density difference reaches 18.6% with frequency shift of 54 Hz at basic frequency of 730.2 Hz, whereas the low frequency (below 200 Hz) rail vibration is not affected. The methods and results could serve as a guideline for the safety checking and dynamics calculation of smart railway track with rail-borne electromagnetic generator.

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“…Vibration energy harvesting technology based on the electromagnetic principle has also attracted researchers' attention over the past decade due to its high energy density. An electromagnetic generator (EMG) mounted on the rail was developed to obtain the vibrational energy excited by the passing trains and to power sensors was proposed in [15]. Moreover, an electromagnetic generator was designed and implemented in [1], which can generate electric energy with maximum voltage of 1.7V peak-to-peak and maximum power of 10mW output.…”

Section: Introductionmentioning

confidence: 99%

Geophone-Based Energy Harvesting Approach for Railway Wagon Monitoring Sensor With High Reliability and Simple Structure

Shi

et al. 2020

IEEE Access

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Freight train positioning and axle safety monitoring are the key to railway traffic supervision, which can be achieved by sensors based on Internet of Things (IoT) technology, and the energy harvesting technology is the best solution to those sensors due to neither electrical power nor communication system is available on railway wagons. This paper proposes a self-powered railway wagon monitoring sensor (SpRWMS) solution based on the geophone, which has the characteristics of mature technology and simple structure, and can convert mechanical vibration of wagons into electrical energy. Since the vibration is so weak that the voltage induced by the geophone is very weak, hence, this paper proposes an electromagnetic generator (EMG) constructed by geophone matrix and an energy management interface (EMI) to convert the induced potential into the voltage that can drive the circuit system of sensors. In this paper, the implementation and performance of EMI will be focused on, and the energy harvesting system analysis prior to developing prototypes and conducting field trail. The design principles and prototypes of EMG and EMI are proposed based on the parameters of vibration profiles collected by a data logger, and the performance of the SpRWMS prototype is evaluated on a trial run freight train. Experimental results show that the proposed EMI can extract the energy generated by EMG more effectively and increase the voltage across the storage capacitor from 2V to 3.3V, that is, our proposed EMI and EMG can convert the railway wagon vibrational energy into the electrical energy form required by the circuitry of sensors. INDEX TERMS Energy harvesting, Internet of Things, vibration.

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Self-Powered ZigBee Wireless Sensor Nodes for Railway Condition Monitoring

Cited by 98 publications

References 20 publications

Energy harvesting from passing train as source of energy for autonomous trackside objects

Energy harvesting from passing train as source of energy for autonomous trackside objects

Symplectic analysis of stationary random vibration of vehicle–track coupled system with rail-borne electromagnetic generator

Geophone-Based Energy Harvesting Approach for Railway Wagon Monitoring Sensor With High Reliability and Simple Structure

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