Temperature Measurement Technology Research Articles

Analysis of Electromagnetic Interference for Anti-Medal UHF RFID Temperature Tag in High Power Electronic Equipment

Being inches from the rapid development of new energy technology, the capacity of high-power power electronic equipment is increasing rapidly, and the requirements for its safe and reliable operation are also rising. As a result, the demand for online temperature monitoring of such equipment is becoming increasingly urgent. RFID temperature measurement technology can be used for real-time monitoring of the temperature of powered operation equipment. However, the operation of high-power electronic equipment generates strong electromagnetic interference, which can seriously affect the normal operation of RFID temperature measurement systems. For applications involving the internal temperature measurement of high-power power electronic equipment, this paper employs an RFID anti-metal temperature tag antenna with a short-circuit cutoff structure. This structure was tested in an excitation switchgear cabinet. During the low-power operation of the cabinet, the temperature tag functioned normally. By combining an RFID antenna model with an electromagnetic interference simulation model of the main circuit of the excitation switchgear cabinet, this paper establishes an electromagnetic interference simulation model for an RFID temperature tag. It analyzes how the tag’s antenna performance parameters change when subjected to interference. Through simulation, the failure mechanism of the RFID temperature tag during the high-power operation of the excitation switchgear cabinet is clarified. The analysis found that there are both conductive electromagnetic interference and radiated electromagnetic interference in the excitation switchgear cabinet, with the conductive electromagnetic interference having a more significant effect. Conductive electromagnetic interference can seriously impact the performance of RFID temperature tags in the excitation switchgear cabinet, significantly degrading their performance. In contrast, the effect of radiated electromagnetic interference on the tags is relatively small. Therefore, this paper employs anti-metal RFID temperature tags and simulates and analyzes their electromagnetic interference characteristics.

Self-calibrated multi-mode optical thermometry in up-converting phosphor Cs2NaErCl6: Yb3+

With the development of temperature measurement technology, people put forward higher requirements for the accuracy and precision of temperature measurement. However, most of the current luminescent thermometers use a single optical signal for temperature detection, which has a certain range of temperature insensitivity, resulting in inaccurate temperature measurement. Here, an all-inorganic rare-earth halide double perovskite Cs2NaErCl6: Yb3+ (CNEC: Yb3+) phosphor was synthesized, which not only expressed triple-mode thermometric properties based on thermally coupled levels (TCLs), non-thermally coupled levels (N-TCLs) and lifetime (FL), but also capable of providing self-referencing and high-sensitivity temperature measurements under excitation at 980 nm. Benefiting from the low phonon energy of the matrix, high doping concentration and the excellent internal up-conversion quantum efficiency (UCQY) about 6.52% of optimal composition CNEC: 40%Yb3+, all modes exhibit superior sensitivities, reversibility and thermal resolution under 980 nm irradiation. In addition, a flexible thin film thermometer composed of CNEC: 40%Yb3+ was prepared to realized multi-mode thermal monitoring of local hot spots of electronic components. The excellent three-mode temperature measurement results indicated that CNEC: Yb3+ phosphors have great potential in temperature sensing.

Design and Implementation of Temperature-sensitive Particle Temperature Measuring Structure in Microchannel

Any physical change or chemical reaction is closely related to temperature. Especially in the context of microscale continuous flow, the uniform temperature distribution affects the whole process of the reaction, so it is very important to detect the temperature in the microsystem. Temperature-sensitive particle temperature measurement is a kind of micro-scale non-contact temperature measurement. At present, the temperature-sensitive particle temperature measurement technology is mainly based on the direct design of experiments based on non-simulation. Starting from the microscopic point of view, this paper firstly analyzes the principle of fluorescence temperature measurement, establishes the consistency between the temperature-luminescence intensity relationship and the force-luminescence intensity relationship, and then uses the simulation software to build a microchannel temperature measurement model to analyze the temperature measurement effect of the selected temperature-sensitive particles. By comparing the Computational Fluid Dynamics (CFD) simulation results, the design of a non-contact particle temperature measuring structure inside the micro-channel is realized, which provides a feasible method in simulation.

Research on Reconstruction Technology of Temperature Field in Engine Combustion Chamber Based on Image Thermometry

In order to make up for the defects of traditional temperature measurement methods, image temperature measurement technology is gradually applied to the measurement of temperature field of high-temperature objects. By analysing and demonstrating the feasibility of three-dimensional temperature field reconstruction in engine combustion chamber, the algorithm of temperature field reconstruction was put forward in this paper, the model between flame radiation energy and temperature field in engine combustion chamber was established, and the application of radiation imaging temperature measurement technology in aero engine annular combustion chamber test was preliminarily realized.

Upconversion luminescence properties and optical thermometry based on non-thermal coupling levels of Ho3+, Yb3+, and Tm3+ codoped 12CaO·7Al2O3 single crystals.

Compared with the fluorescence intensity ratio (FIR) temperature measurement technology based on the thermal coupling levels (TCLs) of rare earth (RE) ions, non-TCL (NTCL) FIR technology can greatly improve temperature measurement sensitivity because it is not limited by Boltzmann distribution. In this paper, a H o 3+/Y b 3+/T m 3+ co-doped 12C a O⋅7A l 2 O 3 (C12A7) single crystal was grown by the Czochralski method. As the temperature increased from 363K to 523K, the upconversion luminescence color of the H o 3+/Y b 3+/T m 3+/C12A7 crystal changed from white to yellow, and exhibited a large temperature dependence under 980nm excitation. In the temperature range of 363-523K, the FIR temperature measurement based on different NTCLs exhibited high temperature sensitivity; the maximum absolute sensitivity and relative sensitivity values were 0.0207K -1 and 2.82% K -1, respectively, which are higher than those previously reported based on TCLs of H o 3+ and T m 3+. This provides a strategy to achieve accurate sensitivity of FIR technology. The RE ion doped C12A7 single crystal material has good research and application prospects in the field of temperature sensing and optoelectronics.

Design and development of a multifunctional moxibustion treatment machine based on heat-sensitive moxibustion therapy

A multifunctional moxibustion treatment machine is designed and developed to assist the heat-sensitive moxibustion therapy. Through the motion control of the stepping motor by programmable logic controller (PLC), the automatic control is obtained for the acupoint detection of heat-sensitive moxibustion therapy and the manual operation of moxibustion. The skin temperature is monitored in real-time, using infrared non-contact temperature measurement technology. Based on the deviation of the temperature set value and the monitoring one, the distance between the moxibustion device and the exerted region is adjusted automatically by PLC so that the temperature is controlled practically. The multifunctional moxibustion treatment machine based on the heat-sensitive moxibustion therapy is capable of the operation control of mild moxibustion, circling moxibustion, sparrow-pecking moxibustion and along-meridian moxibustion techniques, as well as real-time monitoring of skin temperature. The temperature change curve of this machine is coincident with that obtained by the manual operation of heat-sensitive moxibustion. This multifunctional moxibustion treatment machine assists the delivery of heat-sensitive moxibustion therapy and it is satisfactory in temperature control and precise in operation.

Обоснование внедрения технологии термометрической косы в интеллектуальных скважинах

Operation of a modern well is impossible without a constant monitoring system. Such systems include various control and measuring devices, pressure and temperature sensors, which makes the well operation predictable, trouble-free and efficient. Active introduction of digital technologies has greatly influenced many industries, including the oil and gas sector. The widespread use of computerization has facilitated oil and gas production. Streams of digital information about the field, its drilling, development of hydrocarbon raw materials, marketing of oil, gas and refined products, as well as interactive processes for monitoring and managing market conditions for oil and gas companies get to the headquarters and become available to the decision makers. The technology of creating smart wells has led to one of the most significant breakthroughs in intelligent innovative technologies of hydrocarbon production in recent years. There are discussed the temperature measurement technologies used in the smart wells and provided comparison of their characteristics, a description of the operation scheme, as well as the structure of each technology. The well-established fiber-optic system in operation is considered, as well as a new analog development - a thermometric chain. The scheme of a thermometric spit is illustrated and a detailed description of the relationship of its constituent elements is given. There are given the main advantages of the thermometric chain over the fiber-optic systems and the explanation for its choice during the operation of the well.

Preliminary Study on Reconstruction of Building Thermal Field Based on Iterative Algorithm Acoustic CT

Real-time acquisition and visualization of temperature anomalies in building spaces and 3D temperature field data during fires are of vital importance for fire danger warnings, early rescue operations, evacuation commands, and subsequent fire accident investigations. Taking into account the non-contact, global (planar and spatial), and high efficiency advantages of acoustic CT temperature measurement technology, this study involved the conducting of exploratory preliminary research in order to provide new ideas for the real-time global perception of information on building fires. The detailed research objective was as follows: obtain the temperature data at any time of a fire based on Fire Dynamics Simulator (FDS) and fit them to form the base temperature distribution diagram at that time. The large ill-conditioned matrix equation of acoustic flight under the scheme of multi-grid division was then constructed. The discrete temperature data of each grid in the building space was obtained by solving the matrix equation based on algebraic reconstruction algorithm (ART) and joint algebraic reconstruction algorithm (SART). The three-dimensional temperature field reconstruction of building space was realized by the interpolation of discrete temperature data. The reconstruction effect of each scheme was evaluated through the error analysis between the reconstruction data and the basic data. The results show that the real-time reconstruction of a 3D temperature field of a building thermal field can be realized based on acoustic CT temperature measurement technology, and the reconstruction algorithm and grid division scheme have a significant control effect on the reconstruction effect.

Fast response characteristics of fiber Bragg grating temperature sensors and explosion temperature measurement tests

Transient temperature measurement technology with fast response, harsh measurement environment, and high technical challenges has attracted research interest in the field of temperature measurement. Based on the differential equation of heat conduction at the interface of an optical fiber, the dynamic-response-time formula of the optical fiber was derived, the dynamic response capability of the optical fiber with different diameters was analyzed, and the transient thermal response simulation of the optical fiber was conducted. The theoretical dynamic test response times of optical fibers with diameters of 80, 125, and 145 µm were 30.21, 60.78, and 85.97 ms, respectively. Fast-response fiber Bragg grating (FR-FBG) temperature sensors were designed and manufactured by femtosecond-fabricated FBGs with diameters of 80 and 125 µm. The average response times of the 80 and 125 µm-FR-FBG temperature sensors were 33.2 and 65.3 ms, and the errors between the data and theoretical values were 9.89 % and 7.44 %, respectively. From explosion experiments, it is concluded that the femtosecond grating can be applied to the monitoring of rapid temperature response during explosion, and the response time is related to the diameter of the grating.

Graphical multispectral radiation temperature inversion algorithm based on deep learning.

Neural networks are the most promising tool to solve the problem that an assumed emissivity model is needed in the field of multispectral radiometric temperature measurement. Existing neural network multispectral radiometric temperature measurement algorithms have been investigating the problems of network selection, network porting, and parameter optimization. The inversion accuracy and adaptability of the algorithms have been unsatisfactory. In view of the great success of deep learning in the field of image processing, this Letter proposes the idea of converting one-dimensional multispectral radiometric temperature data into two-dimensional image data for data processing to improve the accuracy and adaptability of multispectral radiometric temperature measurement by deep learning algorithms. Simulation and experimental validation are carried out. In the simulation, the error is less than 0.71% without noise and 1.80% with 5% random noise, which improves the accuracy by more than 1.55% and 2.66% compared with the classical BP (backpropagation) algorithm, and 0.94% and 0.96% compared with the GIM-LSTM (generalized inverse matrix-long short-term memory) algorithm. In the experiment, the error is less than 0.83%. This indicates that the method has high research value and is expected to lead multispectral radiometric temperature measurement technology to a new level.

A Probabilistic Neural Network Measurement Method for Multispectral High Dynamic Temperature

Among various temperature measurement technologies, Multispectral thermometry is a better method to measure temperature under complex conditions. To solve the problems in the multi-spectral temperature measurement technology, which included the detector’s non-linear sensitivity characteristics, consistency calibration, data processing, etc., this paper, based on the previous research and development of the multi-spectral dynamic temperature measurement system, realized data acquisition of the dynamic temperature in 20us sample rates within 1550~2000 Celsius, and then the dynamic measurement data is processed by the probabilistic neural network (PNN). Finally, temperature measurement system realized the accuracy of the measurement error less than 1.1%. The results show that the PNN neural network can fit the temperature distribution curve better and faster, and can be better applied to the miniaturization of the temperature measurement system.

Multi-Wavelength Photoacoustic Temperature Feedback Based Photothermal Therapy Method and System.

Photothermal therapy (PTT) is a new type of tumor treatment technology that is noninvasive, repeatable, and does not involve radiation. Owing to the lack of real-time and accurate noninvasive temperature measurement technology in current PTT surgical procedures, empirical and open-loop treatment laser power control mode inevitably leads to overtreatment. Thermal radiation causes irreversible damage to normal tissue around cancer tissue and seriously affects the therapeutic effect of PTT and other therapies conducted at the same time. Therefore, real-time measurement and control of the temperature and thermal damage of the therapeutic target are critical to the success of PTT. To improve the accuracy and safety of PTT, we propose a multi-wavelength photoacoustic (PA) temperature feedback based PTT method and system. PA thermometry information at different wavelengths is mutually corrected, and the therapeutic light dose is regulated in real time to accurately control the treatment temperature. The experimental results on the swine blood sample confirm that the proposed method can realize real-time temperature measurement and control of the target area with an accuracy of 0.56 °C and 0.68 °C, demonstrating its good prospects for application.

Dual-mode up/down-conversion optical thermometry of Pr<sup>3+</sup>-regulated Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Er<sup>3+</sup> phosphors

Photothermal sensing is crucial in developing smart wearable devices. However, designing and synthesizing luminescent materials with suitable multi-wavelength emission and constructing multiple sets of probes in a single material system is a huge challenge for constructing sensitive temperature sensors with a wide temperature range. In this paper, Pr<sup>3+</sup>, Er<sup>3+</sup> single-doped and double-doped Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub> phosphors are successfully prepared by high temperature solid phase method, and their structures, morphologies, excitation wavelengths and temperature-dependent fluorescence properties are characterized by XRD, SEM, fluorescence spectrometer and self-made heating device. Firstly, the photoluminescences of the synthesized series of samples are investigated. The results show that comparing with the single-doped Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>: Er<sup>3+</sup> sample, the up/down-conversion spectra of Pr<sup>3+</sup>, Er<sup>3+</sup> co-doped phosphors under 808 nm/380 nm excitation show that the green fluorescence emission of Er<sup>3+</sup> is enhanced. In addition, under 980 nm excitation, Pr<sup>3+</sup> can effectively regulate the fluorescence energy level population pathway, so that the electrons are more effectively arranged in the <sup>2</sup>H<sub>11/2</sub> and <sup>4</sup>S<sub>3/2</sub> energy levels in the excitation process. The red emission is weakened and the green emission is enhanced, which improves the signal resolution of the fluorescent material and has a significant influence on the optical temperature measurement. Secondly, the up-conversion fluorescence property of Er<sup>3+</sup> under 808 nm/980 nm laser excitation in Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Er<sup>3+</sup> and Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Pr<sup>3+</sup>,Er<sup>3+</sup> phosphors are investigated. The results show that the red and green fluorescence emissions of Er<sup>3+</sup> are two-photon processes. Finally, the up/down-conversion dual-mode temperature sensing properties of Er<sup>3+</sup> in Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Er<sup>3+</sup> and Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Pr<sup>3+</sup>, Er<sup>3+</sup> phosphors are investigated. It is found that both materials have good optical temperature measurement performances. The Pr<sup>3+</sup> doping optimizes the dual-mode optical temperature measurement performances of Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Er<sup>3+</sup> phosphors derived from the thermal coupling energy level of Er<sup>3+</sup> ions. In addition, the up/down-conversion fluorescence mechanism of Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Er<sup>3+</sup> and Li<sub>0.9</sub>K<sub>0.1</sub>NbO<sub>3</sub>:Er<sup>3+</sup>, Pr<sup>3+</sup> phosphors are proposed, and the enhanced green fluorescence by Pr<sup>3+</sup> co-doping is attributed to the energy transfer from Pr<sup>3+</sup> ions to Er<sup>3+</sup> ions, leading to the increase of green fluorescence level population and the decrease of red fluorescence level population of the Er<sup>3+</sup> ions. This new dual-mode optical temperature measurement material provides a material basis and optical temperature measurement technology for exploring other temperature measurement materials.

High temperature lattice structure evolution of C-axis preferred orientation AlN thin films and its application in temperature measurement

In order to measure the surface temperature of aerospace hot-end components accurately, AlN thin film temperature measurement technology was explored. In this research, C-axis preferred orientation AlN thin film was deposited on Ni-based superalloy substrates by medium frequency (MF) reaction magnetron sputtering. Effect of temperature on the lattice structure of AlN thin film was studied. X-ray diffraction results show that the diffraction angles (2 θ ) of AlN thin films shift to the left side monotonously with the increase of annealing temperature and annealing time. Based on this phenomenon, the maximum temperature experienced by the film can be deduced according to 2 θ values. A temperature interpretation algorithm equation was established with MATLAB. The algorithm is a binary linear equation, whose dependent variable is 2 θ and the independent variables are annealing temperature and annealing time. Then, temperature interpretation software was developed with Visual Studio 2019. The temperature interpretation range is 700–1200 °C and the relative interpretation error is less than 4.26%.

Orthogonal dual-channel single-camera spectral imaging for online measurement of three-dimensional space–time evolution of temperature field in laser melt pool

Current temperature measurement technology in laser manufacturing cannot obtain the internal three-dimensional (3D) temperature distribution of the melt pool. Necessary information for laser-manufacturing process optimization is lacking, including the melt pool depth and depth-to-width ratio. We propose a method for 3D temperature measurement based on orthogonal dual-channel single-camera spectral imaging. The 3D temperature field distribution of the melt pool can be obtained by collecting projected radiation data from two perpendicular angles. Use of a single monochrome camera for spectral imaging at three wavelengths ensures excellent spatial and temporal consistency during measurements. To verify the feasibility of the method, we measured the 3D temperature field in a melt pool of 304 stainless steel irradiated by a Gaussian laser beam (continuous laser, 500 W) with different irradiation times. The results indicate that the temperature field exhibits an approximately axisymmetric distribution on each cross-section at different depths. The temperature is highest in the center and gradually decreases around it. As the depth increases, the high-temperature area (>1730 K) gradually becomes smaller, and the temperature of each cross-section decreases. The maximum temperature, depth, width, and depth-to-width ratio of the melt pool at different times were obtained from the measured 3D temperature distributions. With an irradiation time of 0–80 s, the maximum temperature of the melt pool exhibited three stages: rapid increase (20–2230 K), slow increase (2230–2280 K), and stabilization. The growth of the width and depth of the melt pool indicated a similar process, increasing rapidly at first and gradually slowing. The depth-to-width ratio decreased rapidly at first and gradually stabilized. The proposed method for 3D temperature measurement has potential use in laser manufacturing for process control and quality improvement.

Broad-scope dual-mode modulation thermometry based on up-conversion phosphor GaNbO4: Yb3+/Er3+

Fluorescence temperature measurement technology has set off another upsurge in non-contact temperature measurement, but still suffers from the large error for single-mode thermometry. Herein, in a broad temperature range of 93–633 K, a dual-mode modulation thermometry based on up-conversion phosphor of GaNbO4:Yb3+/Er3+ is realized with the maximum relative sensitivity (Sr) of 11.7% K−1 (93 K) and 13.1% K−1 (123 K), respectively. GaNbO4:Yb3+/Er3+ phosphors were synthesized by high temperature solid-state method. The structure, surface morphology and the optical properties were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM) and photoluminescence (PL). The fluorescence intensity ratio (FIR) readout method based on Er3+ thermal-coupled energy level (TCL) and non-thermal-coupled energy level (NTCL) was used to achieve the dual-mode temperature measurement with high temperature resolution and good repeatability in GaNbO4:5 mol% Yb3+ and 5 mol% Er3+ phosphors. All the results show that GaNbO4:Yb3+/Er3+ phosphors have great application potential in high sensitivity broadband thermometry.

Metallographic method for temperature measurement: Reconstruction of grinding temperature field based on critical austenitizing depth and cyclic feedback algorithm

Effectively measuring and predicting the grinding temperature is significant for accurately controlling machined surface quality. However, the spatial limitations of the contact area and the time-varying of heat sources make the accurate acquisition of grinding temperature challenging. Existing methods have made critical achievements, but further exploration is still desired. To this end, a metallographic method for temperature measurement is proposed, which uses the thermal reference reflected by metallographic images combined with a cyclic feedback algorithm to reconstruct the grinding temperature field. Specifically, dry grinding thermal-force synchronous measurement experiments are carried out for carbon steel, and the mapping relationship between the grinding heat transient characteristics and metallurgical transformations diversity in the surface material is established. The improved image recognition algorithm is applied with metallographic detection to achieve accurate localization of the critical austenitizing depth. Afterwards, a cyclic feedback algorithm based on differential heat transfer is proposed to solve the dynamic distribution of the grinding temperature field (error within 10%) under random heat sources. The results show that the parabolic heat source can better describe the distribution of heat flow density in the contact area under dry grinding, and the heat flow into the workpiece is about 30% of the total energy. This study fills the blank of the metallographic method for solving grinding temperature, which helps profoundly understand the interaction mechanism between processing heat and metallurgical transformation and promotes the development of advanced temperature measurement and prediction technology.

Research on key technology of ultrasonic temperature measuring instrument in high-temperature solid structure

Aiming at the key technical requirements of ultrasonic measurement of internal temperature of high temperature solid structure, firstly, the mechanical structure of ultrasonic transducer is miniaturized and high-temperature resistant design is carried out, so that it can withstand the high temperature of 800°C. Meanwhile, the multi-waveform, multi-channel and multi-frequency excitation detection is achieved, and the integration of structure and function is realized. In addition, the high-speed data acquisition module adopts a 1GSPS sampling rate acquisition card combined with the phase-based acoustic time integral zero sub-measurement method to achieve the nanosecond acoustic time measurement accuracy required by ultrasonic temperature measurement. Finally, the reconstructed internal temperature field of steel structure is carried out by using the developed electromagnetic ultrasonic temperature measuring instrument and compared with the temperature measuring result of thermocouple, which verifies the reliability of high temperature resistant electromagnetic ultrasonic probe and high-speed acquisition module. The research shows that the integration of ultrasonic temperature measurement technology and the design and development of instruments will provide effective analysis methods, research means and testing tools for exploring the internal temperature parameters of structures.

Effect of substrate type on the lattice structure of AlN thin films annealed at high temperature

To measure the surface temperature of aerospace hot-end components accurately, AlN thin film temperature measurement technology is being explored. The core of this temperature measurement technology is the evolution law of the lattice structure with temperature, but the influence of substrate on its lattice structure is still unclear. In this research, C-axis preferred orientation AlN thin films were deposited on Ni-based superalloy and quartz glass substrates by Mid-frequency reactive magnetron sputtering. The effect of substrate type on the lattice structure of annealed AlN thin films was investigated. It was found that with the increase of temperature, the lattice structure parameters (2θ) of AlN thin films deposited on Ni-based superalloy gradually shifted to the left, while those of AlN thin films deposited on quartz glass keep a constant until 1300 °C. The results reveal that quartz glass substrate has no influence on the lattice structure of AlN thin films as long as the temperature is lower than 1300 °C. Quartz glass substrates are suitable for follow-up research of AlN thin film temperature measurement technology.

Experimental study on the accuracy of non-invasive temperature measurement by magnetic resonance in microwave ablation.

This study aimed to explore the accuracy of non-invasive temperature measurement based on proton resonance frequency (PRF) phase subtraction in microwave ablation (MWA). The signal change of the agar phantom during the ablation process was monitored by the gradient echo sequence under 1.5 T superconducting magnetic resonance imagining (MRI), and the temperature change was converted by the phase subtraction method of the PRF, which was compared with the temperature measured using an optical fiber. SPSS software version 22.0 was used for data processing, and the independent sample t-test was used for comparative analysis. P < 0.05 indicated statistical significance. The maximum error between the MRI temperature measurement and the standard value was 3.61°C, whereas the minimum and average errors were 0.01°C and 1.19°C ± 0.78°C, respectively. The temperature measurement technology, which is based on the PRF phase method, has good accuracy in MRI-guided MWA.