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Article

Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag

1
School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China
2
School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
3
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
4
Rising Micro Electronics Co., Ltd., Guangzhou 510006, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(7), 1463; https://doi.org/10.3390/s17071463
Submission received: 17 April 2017 / Revised: 12 June 2017 / Accepted: 20 June 2017 / Published: 22 June 2017
(This article belongs to the Special Issue Low Power Embedded Sensing: Hardware-Software Design and Applications)

Abstract

:
This paper firstly introduces the importance of temperature control in concrete measurement, then a passive radio frequency identification (RFID) sensor tag embedded for concrete temperature monitoring is presented. In order to reduce the influences of concrete electromagnetic parameters during the drying process, a T-type antenna is proposed to measure the concrete temperature at the required depth. The proposed RFID sensor tag is based on the EPC generation-2 ultra-high frequency (UHF) communication protocol and operates in passive mode. The temperature sensor can convert the sensor signals to corresponding digital signals without an external reference clock due to the adoption of phase-locked loop (PLL)-based architecture. Laboratory experimentation and on-site testing demonstrate that our sensor tag embedded in concrete can provide reliable communication performance in passive mode. The maximum communicating distance between reader and tag is 7 m at the operating frequency of 915 MHz and the tested results show high consistency with the results tested by a thermocouple.

1. Introduction

Temperature control for concrete plays a dominant role during its curing and maturation period [1]. The hydration heat generated during the pouring process of concrete may lead to large temperature differences between the inside and the outside of the concrete, which can easily cause cracks in concrete [2,3]. Thus, the concrete temperature should be well supervised during its pouring period to obtain an appropriate hydration heat releasing rate. Furthermore, the curing temperature determines the volume stability and the structural strength of concrete [4,5,6]. Uncontrolled temperature increases will result in increasing shrinkage stress, strength reduction, and structure ageing [7]. However, if the ashlar of fresh concrete could be heated in a controlled way, the curing time will be reduced and the productivity will be largely enhanced.
The traditional measuring techniques, such as thermocouple temperature measurement (TTM) [8,9,10] and fiber temperature detection (FTD) [11,12], are wired methods. The high cost and complex layout of TTM limit its wide application, so TTM is always employed for sample testing. FTD also requires high cost and complex layout; moreover, the fiber is easily broken, which requires regular maintenance. Along with the tremendous development of the Internet of Things, online monitoring techniques based on wireless sensor networks (WSN) have attracted significant attention, and this technique has been widely used in structural health monitoring (SHM) and fault early warning due to its high flexibility [13,14]. At present, the WSN node usually operates in active mode for a long operating range and high transmission rate. However, restricted by the battery power supply, the working life of a WSN node lasts only two or three years, hence, the cost of the WSN technique is still high for large-scale commercial applications. Recently, owing to the progress of radio frequency identification (RFID) and sensor fabrication technology, online monitoring systems based on RFID sensor tags has been a hot topic [15,16,17,18]. Compared with existing WSN techniques, the ultra-high frequency RFID sensor tag has a shorter operating range, but it has a simple structure, low power consumption, and can work in passive mode due to its back-scattering mechanism. Furthermore, the RFID sensor tag has a unique identification number, allowing an abnormal area to be quickly located. Therefore, the RFID sensor tag is especially suitable for long-term and low-cost monitoring applications, such as SHM application.
Various types of RFID temperature sensors have been already reported. The simplest type of RFID temperature sensors is the chipless type [19,20], which requires no integrated circuits (ICs) and transmits sensor data by changing the radar cross-section of the antenna. However, due to a lack of digital processing blocks, these chipless RFID sensors show low performance and are mainly applied in low-cost fields. The chip-based RFID temperature sensors can be divided into two groups: the printed circuit board (PCB)-based type [21,22] and the IC-based type [23,24,25]. The PCB-based RFID temperature sensors employs a microcontroller unit (MCU) to control various external sensors and the IC-based RFID temperature sensors integrate the temperature sensors with RFID tag chips. The temperature sensor can be easily fabricated using the standard CMOS process. Though PCB-based RFID sensors exhibit high flexibility and short designing time, IC-based RFID temperature sensors hold the advantages of lower power dissipation, smaller board area, and lower cost.
Our previous work proves the feasibilities of applying RFID sensors for concrete monitoring [26], however, that work just utilizes current commercial RFID sensor tags for measurements. Hence, systematic research should be conducted for further application. This work proposes a novel measuring method for concrete temperature monitoring based on an IC-based passive RFID sensor tag. The rest of the paper is organized as follows: Section 2 introduces the theory of intelligent temperature control; Section 3 analyzes electromagnetic wave transmission mechanisms in concrete; Section 4 shows the overall structure of the proposed sensor tag and, consequently, introduces the design of key blocks of the proposed RFID sensor; Section 5 shows the experimental results, which are also compared with the traditional measuring method; and Section 6 makes a conclusion.

2. Principles of Intelligent Temperature Control

Figure 1 shows the architecture of our proposed concrete-temperature monitoring method based on an embedded passive RFID sensor tag. The RFID sensor tag is embedded in concrete for accurate temperature monitoring. The RFID reader received the temperature data from the embedded RFID sensor and then the computer controlled the concrete pouring machine based on the intelligent temperature control pattern discussed below.
In order to avoid concrete cracking during the concrete cooling process, there are three basic principles that should be considered, including maximum temperature control, the rate of temperature change control, and abnormal temperature control [27]. Firstly, large temperature differences between the internal and external of concrete can lead to concrete cracking, hence, the maximum internal temperature should be different according to the ambient temperature. Secondly, rapid temperature change can also cause the concrete to crack. Moreover, excessively high or low ambient temperature may also cause the concrete to crack. In these situations, a control system should be adopted to decrease the temperature stress.
Considering the internal heat source, a basic equation of three-dimensional heat conduction can be obtained according to the Fourier Law [28]:
T τ = ( 2 T x 2 + 2 T y 2 + 2 T z 2 ) + Q ρ c
where T represents the concrete temperature, τ is the time variable, c is the specific heat capacity, and Q represents the power density of the internal heat source per volume. Considering the temperature field as a steady field, we can obtain the following equation:
T τ = θ ( τ ) τ + ρ w c w ρ c c c q w [ T w i n ( τ ) T w o u t ( τ ) ] V c
where θ is the adiabatic temperature rise function of concrete, ρw, cw, and qw represent the density, specific heat capacity, and water flow of the pipe, respectively, ρc, cc, and Vc represent the density, specific heat capacity, and volume of concrete, respectively, and Tw-in and Tw-out represent the water inflow and discharge of the pipe, respectively. According to the target temperature, we can obtain the theoretical water flow in Equation (3):
q w ( τ ) = [ T ( τ + Δ τ ) T ( τ ) ] / Δ τ θ ' ( τ ) ρ w ( τ ) c w ( τ ) [ T w i n ( τ ) T w o u t ( τ ) ] / ρ c c c V C
Therefore, a basic flow of temperature control, proposed in Figure 2, can be acquired from the above equations.

3. Analysis of Electromagnetic Wave Transmission in Concrete

As we all know, concrete is a high-loss material for electromagnetic wave transmitting and, hence, its impact on RFID communication performances should be taken seriously into account. The overall loss of electromagnetic waves penetrating concrete can be divided into two parts: transmission loss and propagation loss [29]. The transmission loss is the power loss resulting from the air-concrete interface and can be defined in dB as:
α t = 10 × log 10 ( | T | 2 × Re { η 0 η 1 * } )
where η0 is the intrinsic impedance of air and η1 represents the intrinsic impedance of concrete. Then the propagation loss can be expressed in dB as:
α p = 10 × log 10 ( e 2 a d )
where d represents the depth of propagation and α is the attenuation coefficient.
Since η1 and α are both highly influenced by humidity conditions of concrete, the transmission loss, propagation loss, as well as overall loss of electromagnetic waves penetrating concrete should be investigated at various concrete humidity conditions. Figure 3 illustrates the MATLAB-simulated results of overall loss at a depth of 0.2 m, from 1 MHz to 1 GHz. The analysis was repeated at typical concrete humidity conditions, i.e., 0.5%, 2.5%, 5.5%, and 13%. The overall loss can be obtained from the sum of the transmission loss and propagation loss. The overall loss of wet concrete (13% humidity) from about 22–82 MHz is about 6 to 11 dB less than the overall loss at either 1 MHz or 1 GHz. Hence, it can be concluded that there should be an optimum frequency with minimum transmission loss from air to concrete. However, the proposed RFID sensor tag works at 915 MHz and, according to Figure 2, the overall loss is about 12 dB.

4. Wireless Sensor Tag

4.1. Sensor Tag Architecture

From [23,24,25], the architecture of the proposed RFID temperature sensor tag is shown in Figure 4. The sensor tag is based on the EPC generation-2 UHF communication protocol and operates in passive mode. Except for the antenna and matching network, the other blocks, including the RF/analog frontend, digital baseband, electrically erasable programmable read-only memory (EEPROM), and temperature sensor, are fabricated in a single chip for low-cost application. The sensor tag receives the RF signals from the RFID reader through the antenna and the matching network ensures the optimal point of power matching between the antenna and the tag chip. The RF/analog frontend transfers the received RF signal into stable voltages (through rectifier and regulator blocks) to activate the other internal blocks of the sensor tag. The demodulator (or modulator) block is responsible for demodulating (or modulating) the received (transmitted) signals. The clock generator and Power on Reset (POR) blocks provide the clock and reset signals for digital parts and the sensor interface, respectively. The digital baseband controls the overall operation of the sensor tag according to the EPC generation-2 UHF communication protocol. The EEPROM is responsible for storing the required information, including the EPC code, security data, and sensing data.
The operating power of a RFID tag Pt can be derived from the equation below [30]:
P t = P r × G a × η t × ( λ 4 π d ) 2
where Pr represents the effective radiation power of a RFID reader, Ga represents the gain of tag antenna, ηt is the power conversion efficiency of RF-to-DC of the tag, λ is the wavelength of the electromagnetic wave, and d is the communication distance between reader and tag. According Equation 6, the communication distance d can be described as following:
d = λ 4 π E r G a η r P t
Generally, Er is limited by the RFID communication standards (4 W is the maximum transmitted power) and Ga is approximately decided by the allowable antenna area (1.64 for the λ/2 dipole antenna). The communication distance is the most important parameter for designing the RFID tag and guarantees the stability and the reliability of the RFID system. According to Equation (7), in order to achieve higher d, lower Pt and higher ηr are critical for the UHF RFID tag design.

4.2. Antenna Design

This work aims to design a RFID sensor tag to perform temperature measurement at the required depth in concrete; therefore, the design of tag antenna should take concrete’s influence on communication into consideration. From the discussion above, the overall loss of 915 MHz at the depth of 0.2 m is about 10 dB, resulting in the UHF RFID tag being hardly read from the external RFID reader. Hence, we proposed a T-type antenna design in Figure 5. Ensuring the low-cost application, the antenna design adopts a simple dipole scheme. In order to enlarge the depth of the tag embedded in concrete, the dipole antenna is connected to an extension part, which consists of two parallel transmission lines made by microstrips [31]. The dipole antenna with a 9.2 cm width is printed on FR4 substrate (dielectric constant εr = 4.4, thickness h = 2 mm). These transmission lines are designed to transmit the energy collected by the antenna to the inner part of the tag in concrete. The microstrips are insulated from both sides to prevent any degradation of the communication performance. In order to transmit all of the power received by the antenna to the sensor chip, the length of the transmission line must be a multiple of λ/2 in the medium. In this design, the length of the transmission line is 14.2 cm.

4.3. Temperature Sensor Design

Generally, the power dissipation of a passive RFID tag is not over 25 µW, the power of the sensor integrated in the RFID tag is always limited to under 5 µW. Hence, the power of the sensor is the key for the integration between the RFID tag and the sensor [15]. Furthermore, as for the RFID tag, the internal clock generator always has low accuracy for low-power and low-cost applications, resulting in the low-accuracy of the integrated temperature sensor using this clock. The traditional CMOS temperature sensors [32,33] always use two steps: temperature-voltage conversion and voltage-digital conversion. However, these sensors adopt complicated architectures and have to work under high supply voltages, resulting in high power consumption. Recently, various low-power design schemes, such as digital conversion in the frequency domain [34] or time domain [35,36], have been introduced to achieve ultra-low power dissipation for wireless applications. However, these designs still have to employ external reference clocks.
The architecture of the proposed temperature sensor is shown in Figure 6a. It developed from the phase-locked loop (PLL)-based interface theory [37] and can be divided into four blocks: a temperature-controlled oscillator (TCO), a digitally-controlled oscillator (DCO), a phase detector (PD), and a counter. The TCO is responsible for converting the temperature information into a temperature-controlled frequency ft. The DCO is used to generates a digital-controlled frequency fd, which is controlled by the PD’s output bo. PD detects the phase difference between the TCO and DCO and then generates a corresponding digital signal bo. PD combines with TCO and DCO to form a PLL loop. The counter, utilizing ft as the reference clock, is responsible for converting bo into a corresponding digital code Bsens. When the entire loop is stabilized, Bsens represents the digital value of the temperature information.
The schematic of the proposed temperature sensor is shown in Figure 6b. Both the TCO and DCO employ an inverter-based ring-oscillator structure. The frequency of invert-based oscillator fosc can be expressed as:
f o s c = 1 t d = I l V m C l
where td is the delay time of the loop, Il is the current flowing through the inverter, Cl is the equivalent load capacitor of the loop, and Vm is the swing range of the output voltage which mostly equals the supply voltage VDD. According to Equation (8), each inverter of the TCO adopts a proportional to absolute temperature (PTAT) current source It, resulting in the frequency of TCO ft being a PTAT frequency. Different from the TCO, the current source of DCO It is set equal to the quiescent part of It, the resulting fd equals the quiescent part of ft when the capacitor Cm is connected to the DCO loop. The Cm connects or not to the DCO loop depending on the output bo from the PD. The value of Cm is designed to make fd slightly larger than ft when Cm connects to the DCO loop.

4.4. Rectifier Design

Inspired by Kamalinejad [38], a gate-boosting scheme is adopted to improve the power conversion efficiency ηr of the rectifier. When the input power is smaller (or larger) than the optimal point of the ηr curve, an extra bias-voltage can be added positively (or negatively) to promote the effective gate-source voltage of the switches. In addition, the extra bias-voltage equals zero when the input power comes at the optimal point, which means the bias-voltage is dynamic. From the above rules, Figure 7 shows the proposed rectifier is made up of two identical stages. The differential-drive switch is constituted by the NMOS transistors MN11-22 and PMOS transistors MP11-22, the gate-source voltage of which are boosted by the bias-voltage VN1,2 and VP1,2, respectively. The large resistor RS is adopted to block the AC component of VN1,2 and VP1,2. In order to avoid the large silicon area in the CMOS process, a PMOS transistor which operates in the cut-off region could replace RS.

5. Experimental Characterization

Figure 8a shows the microphoto of our RFID sensor tag chip. The RFID tag chip was designed and fabricated using the TSMC 0.18 μm 1P6M mixed-signal CMOS process. As shown in Figure 8b, this tag chip was matched with the proposed T-type antenna on FR4 substrate for the temperature measurement in the laboratory. The overall tag covers an area of approximately 13 × 15 cm2.
The sensor tag was firstly tested and calibrated in the laboratory, as shown in Figure 9. In order to improve the measuring accuracy, two antennas were adopted in our measurement, one was the transmitting antenna and another was the receiving antenna. The temperature calibration of the tag was performed inside a VCL4003 temperature and humidity chamber from Votsch Industry Electronics (Taichang, China). The VISN-R1200 from VI Service Network (Shanghai, China) is an RFID comprehensive test instrument from VI Service Network (Shanghai, China), which can assist in research, development, and measurements based on various RFID standards.
The performances of the proposed antenna is shown in Figure 10. The E-plane polar diagram in Figure 10a illustrates the simulated radiation pattern performances and the maximum realized gain is 2.21 dB. In order to compare with the conventional dipole, a similar antenna, only without transmission lines, is connected the proposed sensor chip for the measurements. From Figure 10b, these two measurements show a good coincidence. Therefore, due to the transmission line, the proposed T-type antenna can efficiently extend the embedded measuring depth in concrete.
In order to test the temperature performances, the proposed sensor tag is put into the climate chamber together with an antenna of the RFID tester. The measured digital outputs of the tag at different input powers (12, 8, and 5 dBm) are shown in Figure 11a. The digital output of the tag can read from the reader. The three tests show high consistency and achieve a linearity error of less than 6%. The measured resolution is around 0.15 °C/LSB within the temperature range of −30–70 °C. Figure 11b illustrates the temperature error performances of five different test sensor tag chips. All five of the test chips are calibrated at 30 °C by adjusting the capacitance of Cm. Compared with [23,24,25], the measured temperature sensor achieves a higher temperature error of −0.7/0.5 °C within the range of −30–70 °C due to the temperature sensor design lacking a reference clock signal.
To verify the RFID communication of the proposed sensor tag, the testing parameters are chosen as follows: the operating frequency is 915 MHz, the distances between the two antennas and the sensor tag are both 0.5 m, the transmitting power is 1 W. The overall communication flow is shown in Figure 12. The RFID tester firstly sends a Select Instruction of Inventory Sequence order. After waiting for 5~6 Tari, the RFID tester then sends a Query instruction and the tag responses back with RN16. The tester then sends an ACK instruction to acquire the ID information of the tag, including the sensor data. After that, the tester sends Req_RN instruction to obtain the Handle response.
The exploited RFID temperature sensor tag is buried in concrete for temperature monitoring, so the transmission loss of the sensor tag under different humidity conditions significantly influences its performance. Thus, the transmission loss under different humidity conditions is experimentally measured. A Sensirion SHT75 humidity sensor is employed to measure the concrete humidity. As is shown in Figure 13a, the experimental concrete block is 120 × 30 × 30 cm3 and this block is composed of 50% ordinary Portland concrete and 50% sand. The SHT75 humidity sensor and the proposed RFID temperature sensor tag are all buried in the concrete, then a handheld RFID reader is placed on the surface of concrete to measure the maximum communication distance between the reader and the antenna of the sensor tag under different humidity conditions. If the successful reading ratio is more than 80%, the communication distance can be considered an effective communication distance. The measurement results are shown in Figure 13b. It can be seen that a negative correlation between humidity and maximum communication distance appears.
The temperature performances of the concrete during the maturation process were tested by the proposed RFID sensor. The tests were repeated when the RFID sensor was immersed at depths of 15, 10, and 5 cm, respectively. Three additional thermocouples were, respectively, placed in the same location as the references. Two hours after casting, the specimen used for testing was heated by an oven to the temperature of 50 °C for three hours, then the oven was turned off for the analysis of the cooling process of the concrete. During the heating and cooling process, the temperature was measured by both the thermocouples and the proposed RFID temperature sensor tag. The temperature measured results without intelligent control are shown in Figure 14a; it is clear that the two curves follow nearly the same profile and the maximum difference is less than 0.5 °C. Due to the internal curing process, the shallower site is easier to radiate heat, resulting in the temperature in the deeper site being higher than the shallower site. The comparison between testing under temperature control and without temperature control on the site at a 15 cm depth is shown in Figure 14b. It is obvious that the temperature under intelligent control rises and declines more gently than the temperature without control.
The monitoring software interface for concrete temperature is shown in Figure 15. This software interface mainly consists of four parts: a host and client parameters module, a data collection module, residual error display module, and an alarm module. The host and client parameters module is used to configure and display local and remote parameters, such as IP, listening port, and client list. The data collection module is used to select the command type or enter manual commands. The temperature display module is used to display the residual error value and curve. The alarm module is green when the temperature is within the normal range, and changes to red when the temperature is abnormal, making it easier to be identified.
The proposed non-destructive concrete temperature monitoring system can track the temperature inside the large volume concrete in real-time, compared with traditional methods, it reduces the cost and avoids a complex layout. Table 1 compares the measured performances of the proposed method with other concrete temperature monitoring methods. TTM and FTD have complex layouts, low flexibility, and high maintenance costs, so they are not suitable for large-scale commercial applications. The temperature measurement based on WSN technology decrease the cost and has a simple layout. Additionally, the maintenance cost is also decreased, but it requires a battery as a power supply. The proposed RFID-based technique takes advantages of the WSN-based method and it does not need an additional battery for power.

6. Conclusions

Temperature monitoring plays a dominant role in concrete measurement. In this work a wireless temperature sensor tag based on the EPC generation-2 UHF communication protocol is proposed to monitor the temperature inside concrete online. Considering the high losses of electromagnetic waves in concrete, a T-type antenna is proposed to ensure the sensor tag can work inside the concrete. The temperature sensor employs a PLL-based architecture and can transfer the sensor values to a digital output in the frequency domain without a reference clock. The measured results show the proposed sensor tag achieves high temperature linearity. The communication flow of the proposed sensor tag was tested in the laboratory, the maximum operating distance and the temperature measurement were tested on a construction site. The measured temperature results by the RFID sensor and thermocouple are almost consistent. The whole experiment demonstrates that the proposed sensor tag can provide reliable performance in wireless concrete temperature measurement.

Acknowledgments

This work was supported by National Natural Science Foundation of China (51664014, 51662008), the Key Research and Development Plan of Jiangxi Province (20161BBE50076), the Natural Science Foundation of Jiangxi Province (20171BAB206045), and the Science and Technology Project of Education Department of Jiangxi Province (GJJ160491).

Author Contributions

Y.L. and F.D. conceived and designed the experiments; S.Z. performed the experiments; Y.H., B.L., and Z.F. analyzed the data; Z.L. performed the sensor chip measurement; and Y.L. wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Su, H.; Li, J.; Hu, J.; Wen, Z. Analysis and Back-Analysis for Temperature Field of Concrete Arch Dam During Construction Period Based on Temperature Data Measured by DTS. IEEE Sens. J. 2013, 13, 1403–1412. [Google Scholar] [CrossRef]
  2. Ruiz, J.M.; Schindler, A.K.; Rasmussen, R.O.; Nelson, P.K.; Chang, G.K. Concrete Temperature Modeling and Strength Prediction Using Maturity Concepts in the FHWA HIPERPAV Software. In Proceedings of the 7th International Conference on Concrete Pavements. The Use of Concrete in Developing Long-Lasting Pavement Solutions for the 21st Century, Orlando, FL, USA, 9–13 September 2001; pp. 97–111. [Google Scholar]
  3. Delatte, N.J.; Williamson, M.S.; Fowler, D.W. Bond strength development with maturity of high-early-strength bonded concrete overlays. ACI Mater. J. 2000, 97, 201–207. [Google Scholar]
  4. Topcu, I.B.; Toprak, M.U. Fine aggregate and curing temperature effect on concrete maturity. Cem. Concr. Res. 2005, 35, 758–762. [Google Scholar] [CrossRef]
  5. Rojas, M.F.; Cabrera, J. The effect of temperature on the hydration rate and stability of the hydration phases of metakaolin–lime–water systems. Cem. Concr. Res. 2002, 32, 133–138. [Google Scholar] [CrossRef]
  6. Lothenbach, B.; Matschei, T.; Möschner, G.; Glasser, F.P. Thermodynamic modelling of the effect of temperature on the hydration and porosity of Portland cement. Cem. Concr. Res. 2008, 38, 1–18. [Google Scholar] [CrossRef]
  7. Lothenbach, B.; Winnefeld, F.; Wieland, E.; Alder, C.; Lunk, P. Effect of temperature on the pore solution, microstructure and hydration products of Portland cement pastes. Cem. Concr. Res. 2007, 37, 483–491. [Google Scholar] [CrossRef]
  8. Hou, X.; Zheng, W. Experiment and Analysis on Temperature Distribution of Prestressed Concrete Beams and Slabs. In Proceedings of the 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), Xianning, China, 16–18 April 2011; pp. 3156–3159. [Google Scholar]
  9. Duan, Q. Research of a Cold End Temperature Compensation for Thermal Couple. In Proceedings of the 2009 IEEE International Conference on Automation and Logistics, Shenyang, China, 5–7 August 2009; pp. 921–924. [Google Scholar]
  10. Phan, L.T.; Lawson, J.R.; Davis, F.L. Effects of elevated temperature exposure on heating characteristics, spalling, and residual properties of high performance concrete. Mater. Struct. 2001, 34, 83–91. [Google Scholar] [CrossRef]
  11. Mokhtar, M.R.; Owens, K.; Kwasny, J. Fiber-Optic Strain Sensor System with Temperature Compensation for Arch Bridge Condition Monitoring. IEEE Sens. J. 2012, 12, 1470–1476. [Google Scholar] [CrossRef]
  12. Mcpolin, D.O.; Basheer, P.A.M.; Long, A.E. Development and Longer Term In Situ Evaluation of Fiber-Optic Sensors for Monitoring of Structural Concrete. IEEE Sens. J. 2009, 9, 1537–1545. [Google Scholar] [CrossRef]
  13. Alsayyari, A.; Kostanic, I.; Otero, C.E. An Empirical Path Loss Model for Wireless Sensor Network Deployment in a Concrete Surface Environment. In Proceedings of the 2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON), Cocoa Beach, FL, USA, 13–15 April 2015. [Google Scholar]
  14. Cammarano, A.; Spenza, D.; Petrioli, C. Energy-harvesting WSNs for structural health monitoring of underground train tunnels. In Proceedings of the 2013 IEEE Conference on Computer Communications Workshops, Turin, Italy, 14–19 April 2013. [Google Scholar]
  15. Deng, F.; He, Y.; Li, B.; Zhang, L.; Xiang, W.; Fu, Z.H.; Lei, Z. Design of an Embedded CMOS Temperature Sensor for Passive RFID Tag Chips. Sensors 2015, 15, 11442–11453. [Google Scholar] [CrossRef] [PubMed]
  16. Deng, F.; He, Y.G.; Li, B.; Zuo, L.; Xiang, W.; Fu, Z.H. A CMOS Pressure Sensor Tag Chip for Passive Wireless Applications. Sensors 2015, 15, 6872–6884. [Google Scholar] [CrossRef] [PubMed]
  17. Xiang, W.; Deng, F.; Yong, H. Design of a Humidity Sensor Tag for Passive Wireless Applications. Sensors 2015, 15, 25564–25576. [Google Scholar]
  18. Zhou, S.; Deng, F.; Yu, L.; Li, B.; Wu, X.; Yin, B. A Novel Passive Wireless Sensor for Concrete Humidity Monitoring. Sensors 2016, 16, 1535. [Google Scholar] [CrossRef] [PubMed]
  19. Bouaziz, S.; Chebila, F.; Traille, A.; Pons, P.; Aubert, H.; Tentzeris, M.M. Novel microfluidic structures for wireless passive temperature telemetry medical systems using radar interrogation techniques in ka-band. IEEE Antennas Wirel. Propag. Lett. 2012, 11, 1706–1709. [Google Scholar] [CrossRef]
  20. Girbau, D.; Ángel, R.; Lazaro, A.; Rima, S. Passive wireless temperature sensor based on time-coded UWB chipless RFID tags. IEEE Trans. Microw. Theory Tech. 2012, 60, 3623–3632. [Google Scholar] [CrossRef]
  21. De Donno, D.; Catarinucci, L.; Tarricone, L. RAMSES: RFID augmented module for smart environmental sensing. IEEE Trans. Instrum. Meas. 2014, 63, 1701–1708. [Google Scholar] [CrossRef]
  22. De Donno, D.; Catarinucci, L.; Tarricone, L. A Battery-Assisted Sensor-Enhanced RFID Tag Enabling Heterogeneous Wireless Sensor Networks. IEEE Sens. J. 2014, 14, 1048–1055. [Google Scholar] [CrossRef]
  23. Reinisch, H.; Wiessflecker, M.; Gruber, S.; Unterassinger, H.; Hofer, G.; Klamminger, M.; Pribyl, W.; Holweg, G. A multifrequency passive sensing tag with on-chip temperature sensor and off-chip sensor interface using EPC HF and UHF RFID technology. IEEE J. Solid-State Circuits 2011, 46, 3075–3088. [Google Scholar] [CrossRef]
  24. Vaz, A.; Ubarretxena, A.; Zalbide, I.; Pardo, D.; Solar, H.; Garcia-Alonso, A.; Berenguer, R. Full passive UHF tag with a temperature sensor suitable for human body temperature monitoring. IEEE Trans. Circuits Syst. II Exp. Briefs 2010, 57, 95–99. [Google Scholar] [CrossRef]
  25. Yin, J.; Yi, J.; Law, M.K.; Ling, Y.; Lee, M.C.; Ng, K.P.; Gao, B.; Luong, H.C.; Bermak, A.; Chan, M.; et al. A system-on-chip EPC Gen-2 passive UHF RFID tag with embedded temperature sensor. IEEE J. Solid-State Circuits 2010, 45, 2404–2420. [Google Scholar]
  26. Chen, Z.; Deng, F.; Wu, X. A Passive RFID Sensor Tag for Intelligent Concrete Temperature Control. In Proceedings of the International Conference on Mechatronics, Materials, Chemistry and Computer Engineering, Shanghai, China, 16–18 August 2015; pp. 216–218. [Google Scholar]
  27. Soutsos, M.N.; Bungey, J.H.; Millard, S.G.; Shaw, M.R.; Patterson, A. Dielectric properties of concrete and their influence on radar testing. NDT E Int. 2001, 34, 419–425. [Google Scholar] [CrossRef]
  28. Klysz, G.; Balayssac, J.P.; Ferrières, X. Evaluation of dielectric properties of concrete by a numerical FDTD model of a GPR coupled antenna—parametric study. NDT E Int. 2008, 41, 621–631. [Google Scholar] [CrossRef]
  29. Jiang, S.; Georgakopoulos, S.V. Optimum Wireless Powering of Sensors Embedded in Concrete. IEEE Trans. Antennas Propag. 2009, 60, 1106–1113. [Google Scholar] [CrossRef]
  30. Wei, P.; Che, W.Y.; Bi, Z.Y.; Chen, W.; Yan, N.; Li, Q.; Min, H. High-efficiency Differential RF front-end for a Gen2 RFID Tag. IEEE Trans. Circuits Syst. II Exp. Briefs 2011, 58, 189–194. [Google Scholar] [CrossRef]
  31. Manzari, S.; Musa, T.; Randazzo, M.; Rinald, Z. A Passive Temperature Radio-Sensor for Concrete Maturation Monitoring. In Proceedings of the 2014 IEEE RFID Technology and Applications Conference, Tampere, Finland, 8–9 September 2014; pp. 121–126. [Google Scholar]
  32. Souri, K.; Chae, Y.; Makinwa, K.A.A. A CMOS temperature sensor with a voltage-calibrated inaccuracy of 0.15 C (3σ) from 55 °C to 125 °C. IEEE J. Solid State Circuits 2013, 48, 292–301. [Google Scholar] [CrossRef]
  33. Wang, B.; Law, M.K.; Bermak, A.; Luong, H.C. A passive RFID tag embedded temperature sensor with improved process spreads immunity for a −30 °C to 60 °C sensing range. IEEE Trans. Circuits Syst. I 2014, 61, 337–346. [Google Scholar] [CrossRef]
  34. Zhou, S.; Wu, N. A Novel Ultra-Low Power Temperature Sensor for UHF RFID Tag Chip. In Proceedings of the 2007 IEEE Asian Solid-State Circuits Conference (ASSCC), Jeju, Korea, 12–14 November 2007; pp. 464–467. [Google Scholar]
  35. Law, M.K.; Bermak, A.; Luong, H.C. A sub-µW embedded CMOS temperature sensor for RFID food monitoring application. IEEE J. Solid State Circuits 2010, 45, 1246–1255. [Google Scholar] [CrossRef]
  36. Law, M.K.; Bermak, A. A 405-nW CMOS temperature sensor based on linear MOS operation. IEEE Trans. Circuits Syst. II Exp. Briefs 2009, 56, 891–895. [Google Scholar] [CrossRef]
  37. Danneels, H.; Piette, F.; de Smedt, V.; Dehaene, W.; Gielen, G. A novel PLL-based frequency-to-digital conversion mechanism for sensor interfaces. Sens. Actuators A Phys. 2011, 172, 220–227. [Google Scholar] [CrossRef]
  38. Kamalinejad, P.; Keikhosravy, K.; Mirabbasi, S. A CMOS Rectifier with an Extended High-Efficiency Region of Operation. In Proceedings of the 2014 IEEE RFID Technology and Applications Conference (RFID-TA), Johor Bahru, Malaysia, 4–5 September 2013; pp. 1–6. [Google Scholar]
Figure 1. Proposed concrete-temperature monitoring method.
Figure 1. Proposed concrete-temperature monitoring method.
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Figure 2. Flow diagram of the concrete temperature control.
Figure 2. Flow diagram of the concrete temperature control.
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Figure 3. Total loss of electromagnetic waves penetrating concrete.
Figure 3. Total loss of electromagnetic waves penetrating concrete.
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Figure 4. Structure of the proposed RFID temperature sensor tag.
Figure 4. Structure of the proposed RFID temperature sensor tag.
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Figure 5. Layout of the proposed T-type antenna.
Figure 5. Layout of the proposed T-type antenna.
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Figure 6. Proposed temperature sensor: (a) architecture; and (b) schematic.
Figure 6. Proposed temperature sensor: (a) architecture; and (b) schematic.
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Figure 7. Schematic of the proposed rectifier.
Figure 7. Schematic of the proposed rectifier.
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Figure 8. Photo of the proposed RFID sensor tag: (a) tag chip; (b) RFID sensor tag.
Figure 8. Photo of the proposed RFID sensor tag: (a) tag chip; (b) RFID sensor tag.
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Figure 9. Wireless measurement environment.
Figure 9. Wireless measurement environment.
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Figure 10. Antenna performances: (a) radiation pattern; (b) S11 performance.
Figure 10. Antenna performances: (a) radiation pattern; (b) S11 performance.
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Figure 11. Tested performances of the temperature sensor: (a) linearity; and (b) error.
Figure 11. Tested performances of the temperature sensor: (a) linearity; and (b) error.
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Figure 12. The result of communication test in the laboratory.
Figure 12. The result of communication test in the laboratory.
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Figure 13. Maximum communication distance at 915 MHz: (a) test environment; (b) test results.
Figure 13. Maximum communication distance at 915 MHz: (a) test environment; (b) test results.
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Figure 14. Temperature performance measurement of concrete: (a) measured internal temperature of concrete versus time in two different ways; and (b) comparison between testing under temperature control and without temperature control.
Figure 14. Temperature performance measurement of concrete: (a) measured internal temperature of concrete versus time in two different ways; and (b) comparison between testing under temperature control and without temperature control.
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Figure 15. Software interface of the concrete temperature monitoring system.
Figure 15. Software interface of the concrete temperature monitoring system.
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Table 1. Performance comparison of different concrete temperature monitoring methods.
Table 1. Performance comparison of different concrete temperature monitoring methods.
MethodsConvenienceReal-TimeCostLife TimeAccuracy
TTMmoderategoodmoderatemoderategood
FTDdisappointinggoodhighmoderateoutstanding
WSNoutstandingoutstandinglowmoderatemoderate
This workoutstandingoutstandingultra-lowlongmoderate

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MDPI and ACS Style

Liu, Y.; Deng, F.; He, Y.; Li, B.; Liang, Z.; Zhou, S. Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag. Sensors 2017, 17, 1463. https://doi.org/10.3390/s17071463

AMA Style

Liu Y, Deng F, He Y, Li B, Liang Z, Zhou S. Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag. Sensors. 2017; 17(7):1463. https://doi.org/10.3390/s17071463

Chicago/Turabian Style

Liu, Yongsheng, Fangming Deng, Yigang He, Bing Li, Zhen Liang, and Shuangxi Zhou. 2017. "Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag" Sensors 17, no. 7: 1463. https://doi.org/10.3390/s17071463

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