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2024 Vol. 45, No. 9 Published: 2024-09-28

	1249	Application of Microwave Resonance Method in High Temperature Acoustic Gas Thermometer
		ZHU Zhangrui,XING Li,FENG Xiaojuan,ZHANG Jintao,SUN Jian
		DOI: 10.3969/j.issn.1000-1158.2024.09.01
		The difference between the thermodynamic temperature T above 335K and the International Temperature Scale ITS-90 temperature(T90) T-T90, is currently the focus and difficulty of frontier research in international temperature metrology. Acoustic gas thermometry, based on the determination of theremperature from the speed of sound in gases, is one of the promising methods for this temperature range. The speed of sound in gases could be measured from acoustic resonant frequency and the inner dimension of the cavity. Microwave resonance method is a technical route for real-time and in-situ measurement of cavity size and thermal expansion at high-temperature. We optimized the high-temperature acoustic gas thermometry system to improve the temperature and pressure stability. Homemade high-temperature microwave cable and sensor were used for the measurement of microwave resonant frequencies in a cylindrical cavity from 335K to 493K with a relative standard deviation of (2~13)×10-8. The variation of the cavity size with temperature was obtained through microwave resonance frequencies. The stability of geometric of the cylindrical cavity was acceptable. Then the refractive index and pressure of the gas inside the cylindrical cavity were determined for analyzing the pressure difference from flowing gas. These results are helpful for future determination of T-T90 above 335K with low uncertainties.
		2024 Vol. 45 (9): 1249-1256 [Abstract] ( 78 ) HTML (1 KB) PDF (0 KB) ( 4 )

	1257	Research of Constant Temperature and Velocity Water Bath for Calibration of Temperature Sensors Dynamic Response
		ZHENG Wei,LIU Bo,WANG Zhiyuan
		DOI: 10.3969/j.issn.1000-1158.2024.09.02
		Dynamic response is a key performance of temperature sensors in important and safety occasions. The constant temperature and velocity water bath is the core equipment for the calibration of temperature sensors dynamic response. Due to the slow heating rate in typical annular rotating water bath, a novel electrically heated annular rotating water bath was developed based on the precision sliding ring, and the temperature fluctuations and velocity fields of the novel bath were tested. The results show that the heating up time is shortened, the temperature fluctuation is significantly less than ±1.0% of the step temperature, the vertical velocity uniformity is significantly better than 10% of the novel bath. The time constants of a sheathed resistance thermometer and a sheathed thermocouple were measured by the existing jet rotating water bath and the novel bath. The deviations from the existing bath results are 4.1% and 7.5%, respectively, these meet the engineering requirement. The novel bath provides good constant temperature and velocity environmental conditions for the dynamic response calibration of temperature sensors.
		2024 Vol. 45 (9): 1257-1261 [Abstract] ( 50 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1262	The Methods and Prospects of Temperature Measurement for Chip Development in Micro-nano Meter Scale
		WU Feixiang,XING Li,FENG Xiaojuan,ZHANG Jintao,SUN Jian
		DOI: 10.3969/j.issn.1000-1158.2024.09.03
		The current temperature measurement technology is unable to meet the increasing performance demands of chips. Traditional contact temperature measurement methods such as thermocouple have high precision, but slow response rate, it is difficult to achieve wide field thermal imaging. Non-contact methods such as infrared radiation can achieve rapid thermal field measurement, but the accuracy is low and the wavelength is limited. The traditional temperature measurement methods are inadequate for achieving high precision, rapid temperature measurement at micro-nano scales. With the development of quantum precision temperature measurement technology, diamond negatively charged nitrogen-vacancy(NV-) center temperature measurement technology based on solid quantum spin effect is expected to solve the above problems, breaking through the existing micro-nano scale temperature measurement in the development of chip application bottleneck. In view of this, we first review the characteristics and development status of the existing chip temperature measurement technology, and then analyze the characteristics of diamond NV-center temperature measurement, miniaturization and integration technology trends. Finally, the technical advantages and application prospects in the field of chip development are prospected, and the challenges facing its development are put forward.
		2024 Vol. 45 (9): 1262-1272 [Abstract] ( 63 ) HTML (1 KB) PDF (0 KB) ( 4 )

	1273	Coarse Aggregate Particle Size Distribution of Inference Based on MCMC Algorithm Research
		TONG Xin，LU Yi，LI Jingwei,FAN Weijun
		DOI: 10.3969/j.issn.1000-1158.2024.09.04
		Machine vision is used to collect data on the coarse aggregate dropped from the vibrating plate,and a ‘pseudothreedimensional’ image of the dynamic aggregate is obtained.Since the image information cannot accurately express the aggregate． Therefore,the idea of Bayesian statistical inference is introduced to infer the particle size distribution of aggregates.The equivalent Feret short diameter is selected as the image feature,but the error between the Feret short diameter and the actual particle size of the aggregate is large when the particle size is large,so the equivalent elliptical short diameter is added as the second feature.In order to obtain accurate posterior distribution and efficient engineering computing capabilities,the MarkovMonte Carlo (MCMC) algorithm is used,thus breaking through the problem of insufficient highdimensional calculations of traditional Bayesian statistical inference,and thus obtaining the aggregate Posterior distribution of particle size distribution.Experimental results show that the particle size distribution measurement error of this method for qualified aggregates is maintained within ±2.5%,and the error for unqualified aggregates is maintained within ±3.5%.
		2024 Vol. 45 (9): 1273-1280 [Abstract] ( 45 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1281	Study on a Receiving Device for a Laser Detection System for Sea Surface Oil Spills
		WU Peiliang,WANG Zhiwei,KONG Deming,MA Qinyong,CUI Yongqiang
		DOI: 10.3969/j.issn.1000-1158.2024.09.05
		A receiver device for a sea surface oil spill laser detection system is proposed, and a series of problems, such as energy transmission and the transformation of the laser in the device, are analyzed by studying the optical components of the device, such as the parallel light tube, optical antenna, and integrating sphere. Then the effectiveness of the receiving device is verified under different sea conditions by taking the laser-reflected signal intensity corresponding to different oil film thicknesses as the simulation parameter. The results show that for the same oil film thickness, the laser intensity after the receiving device is much smaller than that without the receiving device. In addition, in a calm sea or in a slightly wavy sea with wind speeds of 0.3, 0.5, and 0.8m/s, the laser intensity after the receiving device can be used to effectively invert the thickness of the oil film on the sea surface.
		2024 Vol. 45 (9): 1281-1290 [Abstract] ( 34 ) HTML (1 KB) PDF (0 KB) ( 3 )

	1291	Position Error of Touch-Trigger Probe Based on Mandrel Calibration on the Process of Gear on-Machine Measurement
		WANG Fa,WANG Zhonghou,CHEN Mingzhi,YANG Yongming,WU Yunlong,SONG Meiqi
		DOI: 10.3969/j.issn.1000-1158.2024.09.06
		The geometric position of probe is calibrated by a reference sphere on most of mainstream gear measuring instruments. Compared to the reference sphere, the reference mandrel is not only easy to be installed and operated, but also it can detect the static accuracy of the machine tool. So the probe calibration is conducted by the reference mandrel in the process of gear on-machine measurement on a new developed gear grinding. To improve the calibration accuracy of probe position, the calibration of probe geometric position is defined by the least squares method (LSM), which can fit the center of reference mandrel. Simultaneously, the algorithm based on Aitken Δ2 iteration, which is used on the basis of LSM, is built to compensate the error of position produced by LSM. This method replaces the nonlinear fitting iterative process with linear convergent numerical sequence, which not only has a faster convergence rate, but also tends to be stable. The effectiveness of this method can be validated through the experiment of tooth profile evaluation, and it can provide guidance for the geometric position calibration of other gear measurement.
		2024 Vol. 45 (9): 1291-1299 [Abstract] ( 37 ) HTML (1 KB) PDF (0 KB) ( 3 )

	1300	Study on Regression Prediction Method of Multi Signal Spindle PSO-SVM Rotation Error Based on LMD
		CHI Yulun,SONG Zhuoyang,WANG Guoqiang,YAO Lei
		DOI: 10.3969/j.issn.1000-1158.2024.09.07
		By analyzing the formation mechanism of spindle rotation errors, regression forecasting model of spindle rotation errors which based on multi-sensor signal was built. Firstly, the LMD method and Pearson correlation coefficient method were used to extract feature values and optimize dimensionality reduction for the vibration signals, current signals, and acoustic emission signals of the front bearing, which solve the problem that types of original signals used in prediction of spindle rotation error of CNC machine tools were too single.Secondly, aiming at the nonlinear problems between various monitoring signals and rotation errors of the machine tool spindle, the RBF kernel function was used to achieve nonlinear prediction under multiple inputs and find complex relationships between datas.However,to establish RBF kernel function, the effective determination of width coefficient σ, penalty factor C and insensitive loss coefficient ε was a challenge in the model. Therefore, a support vector machine model based on particle swarm optimization algorithm was established to predict the spindle rotation errors. Once again, to evaluate the effectiveness of the model, a regression prediction model evaluation method for spindle rotation error based on mean square error, mean absolute error and coefficient of determination was proposed. Finally, experimental research was conducted on above prediction model in the i5m4 CNC machining center. The results showed that the mean square error of PSO-SVM regression prediction model was 0.19%, the average absolute error was 4.58%, the coefficient of determination was 0.9237. Compared with the model before optimization, the PSO-SVM regression forecasting model can predict the spindle rotation errors accurately and effectively.
		2024 Vol. 45 (9): 1300-1313 [Abstract] ( 33 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1314	An Improved YOLOv5s Forest Fire Smoke Detection Algorithm
		ZHANG Liguo,ZHANG Qi,JIN Mei,YUAN Yulin,WANG Hongfeng
		DOI: 10.3969/j.issn.1000-1158.2024.09.08
		A forest fire smoke detection algorithm based on improved YOLOv5s is proposed. A fire and smoke dataset containing 16573 images is constructed to solve the problem of insufficient training data sets and improve the generalization ability of the training model. A lightweight GC-C3 module is designed to replace the original C3 module and reduce the number of model parameters and calculation. The weighted bidirectional feature pyramid network is integrated into the Neck structure to enhance the detection ability of the network for small and medium targets. The network space pyramid pool structure is modified, SPPF is replaced by SimSPPF structure, and the computing efficiency and detection accuracy of the network are improved. The bounding box regression loss function CIOU is replaced by Focal-EIOU to accelerate the convergence of the model and solve the problem of mismatch between positive and negative samples. The experimental results show that the average detection accuracy of the improved network is increased by 2.3%, the number of model parameters is decreased by 46.7%, and the calculation amount of the model is decreased by 47.5%.
		2024 Vol. 45 (9): 1314-1323 [Abstract] ( 51 ) HTML (1 KB) PDF (0 KB) ( 3 )

	1324	Fractional Parameters Calibration for Particle Image Velocimeter
		SHAN Jie, HUANG Zhenwei,CUI Lishui,XIE Dailiang,WANG Yi,ZHANG Shuting,GAO Shan,ZHANG Yuwen,QIAN Zhenyu
		DOI: 10.3969/j.issn.1000-1158.2024.09.09
		The calibration methods of particle displacement and cross-frame time during particle image velocimetry (PIV)measurement are studied. The geometric size standard of disc is designed for camera calibration, the proportional relationship between the image obtained by camera and the object is determined, and the particle displacement calibration is realized by comparing with the ruler under the same experimental condition. A traceable timer is used to calibrate the time interval of PIV synchronizer pulse signals at different speed points. The cross-frame time correction coefficient is the ratio of the actual value to the initial value. As the result the PIV calibration coefficient is determined by the particle displacement correction coefficient and the cross-frame time correction coefficient. The uncertainty of PIV calibration results based on the sub-parameter method is evaluated. The results indicate that: at the theoretical speed point of 100m/s, the maximum relative error is 0.08%, and the uncertainty of the relative error is 0.01%.
		2024 Vol. 45 (9): 1324-1330 [Abstract] ( 41 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1331	Research and Design of Oil Well Liquid Phase Correlation Metering System
		ZHANG Heyi,LIU Cuiling,WEI Ao,WANG Jinqi,SUN Xiaorong
		DOI: 10.3969/j.issn.1000-1158.2024.09.10
		Aiming at the problems of low automation and large error of existing oil well measurement methods, an oil well liquid phase correlation metering system was designed by using coaxial line phase method water content meter. In order to realize the synchronous measurement of both flow rate and water content, the correlation flowmeter was constructed by the coaxial line phase method water content meter. Moreover, the measurement model was established by cross-correlation method. Through the analysis of the upstream and downstream water content meter signals under different circumstances, it can be seen that there is a correlation between the two signals, to meet the conditions for the use of the correlation flowmeter. Compared with the turbine flowmeter in field tests, the average error of the system was 11.36%. The results proved the feasibility of the system in practical applications.
		2024 Vol. 45 (9): 1331-1338 [Abstract] ( 24 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1339	A New Method for Online Assessment of Ultrasonic Gas Flowmeter Performance
		LIANG Shuang,ZHANG Liwen,ZHANG Pengfei,MIAO Qian,WANG Ruibing,ZHOU Junyang,ZHU Gehong,ZHANG Kai
		DOI: 10.3969/j.issn.1000-1158.2024.09.11
		A new method for online performance evaluation of ultrasonic gas flowmeters is proposed,based on a Bayesian information fusion approach to establish a change point detection model.This method captures the trend of measurement data changes to achieve real-time performance assessment of the flowmeter.The implementation involves combining prior information with real-time sample data,iteratively updating to obtain the posterior distribution,with the posterior standard deviation representing the instruments real-time uncertainty.Compared to traditional uncertainty assessment methods,this approach integrates real-time measurement data,allowing for continuous evaluation of the instruments uncertainty and monitoring of the entire measurement systems operation.It can promptly detect abnormal working conditions,thereby enabling online performance evaluation of the flowmeter.At a low flow rate point of Q=10m3/h,the relative expanded uncertainty is 1.52%,meeting the metrological accuracy requirements.
		2024 Vol. 45 (9): 1339-1347 [Abstract] ( 45 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1348	Optimization of Flow Measurement Uncertainty in Open Channel with Triangular Thin-walled Weir Based on Data Fitting Method
		GAO Ming,GUO Hui,JIA Zhizhuo
		DOI: 10.3969/j.issn.1000-1158.2024.09.12
		Aiming at the problem of low measurement accuracy of triangular thin-walled weir open channel flowmeter when used at non-fixed points, based on the uncertainty pre-assessment results, it is proposed to use curve fitting instead of linear interpolation to calculate the flow coefficient, and a digital output magnetostrictive water level sensor is used to measure the water head, which significantly reduces the uncertainty items that contribute more to the original method. The frequency sampling method is improved based on the Froude's similarity criterion, which improves the accuracy level of the measurement results. The uncertainty of the measurement method is improved from 1.6% to 0.56%. The calibration experiments of the triangular thin-walled weir open-channel flowmeter are carried out by the standard meter method open-channel flow rate standard device, and the experimental results show that the measurement error is reduced from 2% to less than 1% after the improved method.
		2024 Vol. 45 (9): 1348-1352 [Abstract] ( 41 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1353	Image Reconstruction of Electrical Capacitance Tomography Based on Deep Wavelet Networks
		ZHANG Lifeng,QIAN Lifeng,HUA Huichun,LIU Shuai
		DOI: 10.3969/j.issn.1000-1158.2024.09.13
		The image reconstruction algorithm of electrical capacitance tomography (ECT) based on deep wavelet network is presented . The Landweber algorithm is used to generate the initial reconstructed image as the input of the network. Taking the U-Net deep convolutional neural network model as the backbone model, the wavelet transform is introduced into the upper and lower sampling layers to extract the features of different levels and the high-frequency feature transfer channel is built through a skip connection to retain more detailed information and make full use of global and local information features in the feature map. Both simulation and experimental results show that the proposed image reconstruction algorithm has higher image reconstruction accuracy. The average relative image errors of simulated and static experimental reconstructed images were 0.1918 and 0.6570, respectively, with average correlation coefficients of 0.9685 and 0.8169.
		2024 Vol. 45 (9): 1353-1359 [Abstract] ( 37 ) HTML (1 KB) PDF (0 KB) ( 3 )

	1360	Self-supervised Learning Combined with Adversarial Transfer for Cross-conditions Bearing Fault Diagnosis
		WEN Jiangtao,LIU Zhongyu,SUN Jiedi,SHI Peiming
		DOI: 10.3969/j.issn.1000-1158.2024.09.14
		In the application of intelligent bearing fault diagnosis, it is extremely difficult to obtain sufficient real fault data due to the complexity and variability of the actual working conditions, and there exist large differences between the signals in the target and source domains, leading to the problems of difficult feature extraction and classification and weak generalization of the model in the cross-working condition transfer recognition of the deep model. Considering the existence of a large amount of unlabelled data in the target domain, an unsupervised ideas and proposed an improved method based on self-supervised learning combined with adversarial transfer is introduced. Firstly, the pretext tasks are created based on the characteristics of the signal itself to learn from a large amount of unlabeled data and establish the intrinsic connections of fault categories between the source domain and the target domain; then the knowledge learned from the source domain is transferred to the target domain through adversarial domain adaptation and joint maximum mean difference, and finally, it is combined with the pretext task to optimize the difference between the two domains and achieved accurate fault classification in the target domain. Experimental results have verified the feasibility and good performance, accuracy is all higher than 98% in most cases.
		2024 Vol. 45 (9): 1360-1369 [Abstract] ( 50 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1370	Study on the Electrical Impedance Block Sparse Imaging Method of Deep Learning Based on DK-SVD
		WANG Qi,YANG Yuhan,LI Xiuyan,DUAN Xiaojie,WANG Jianming,SUN Yukuan,FENG Hui
		DOI: 10.3969/j.issn.1000-1158.2024.09.15
		Aiming at the ill-posedness and nonlinearity of electrical impedance tomography inverse problem, a DK-SVD-based block sparse image reconstruction method is proposed.The multi-layer perceptron is introduced to finetune optimal model parameters for measurement data considering the complexity of datasets and improve the image quality.The iterative shrinkage threshold algorithm is used to accelerate convergence in the sparse coding stage.The simulation results show that the structural similarity of the reconstructed image by DK-SVD algorithm can reach more than 0.95, the error can be controlled at about 0.1, and the average reconstruction speed is 0.034s, which effectively improves the quality and efficiency of electrical impedance tomography, and further experiments prove that the algorithm has good noise robustness and practical application value.
		2024 Vol. 45 (9): 1370-1377 [Abstract] ( 23 ) HTML (1 KB) PDF (0 KB) ( 4 )

	1378	Analysis on the Axial Magnetic Field of Multi-layer Finite Solenoid Based on the Equivalent Current Density Model
		LI Zesong,HUANG Feili,WANG Yimin,YU Shancheng,JIN Bo
		DOI: 10.3969/j.issn.1000-1158.2024.09.16
		In order to resolve the calibrating problem of axial Hall magnetic probe with short rob, a portable finite solenoid was proposed as the reference magnetic field generator. The axial magnetic filed was calculated to obtain its distribution based on the Biot-Savart law and superposition principle of magnetic field, by establishing the solenoid model in a cylindrical coordinate system. In addition, a finite element model (FEM) was established for the multi-layer finite solenoid to analyze its spatial magnetic filed with given exciting current. A solenoid prototype with 100mT central magnetic intensity was designed according to above theoretical analysis. The data from the ECD model, FEM and prototype testing were compared, and the results show that at the solenoid center the deviation between theoretical calculation and FEM is less than 0.1%, and its less than 0.8% between theoretical calculation and prototype testing. Its demonstrated that the ECD model is effective to analyze solenoid axial magnetic field. This method is suggested to be applied in designing and optimizing parameters of a finite solenoid more efficiently and accurately.
		2024 Vol. 45 (9): 1378-1383 [Abstract] ( 30 ) HTML (1 KB) PDF (0 KB) ( 5 )

	1384	Research on Early Warning of Abnormal Working Conditions of Wind Turbine Based on QM-DBSCAN and BiLSTM
		MA Liangyu,LIANG Shuyuan,CHENG Dongyan,GENG Yanzhu,DUAN Xinhui
		DOI: 10.3969/j.issn.1000-1158.2024.09.17
		A wind turbine fault warning method based on quartile method(QM)-density-based spatial clustering of applications with noise(DBSCAN) and Bi-directional long and short-term memory network (BiLSTM) is proposed.Firstly, in view of the difficulty of cleaning the power limit point in the wind speed-power diagram, the combination of QM and DBSCAN is proposed to preprocess the modeling operation data. secondly, by analyzing the operation principle of wind turbine and determining the input and output parameters of the normal working condition prediction model of wind turbine combined with LightGBM feature selection method, a high-precision normal performance prediction model of wind turbine is established based on BiLSTM.Then, the state performance index of the fan is determined by the sliding window algorithm, and the index threshold is determined by statistical interval estimation method.Finally, the real fault data of the fan is used to carry out the early warning experiment of the abnormal working condition of the whole wind turbine, which verifies the effectiveness of the method.
		2024 Vol. 45 (9): 1384-1393 [Abstract] ( 29 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1394	Evaluation of the Phase Frequency Response of Digitizing Oscilloscopes
		LIANG Zhiguo,WANG Ning,LIANG Jiayi,GAO Shan
		DOI: 10.3969/j.issn.1000-1158.2024.09.18
		Aiming at the difficult problem of obtaining the phase difference between the response waveform and the excitation signal in the calibration of phase frequency characteristics of digital oscilloscopes, a method is proposed that utilizes the pulse amplitude triggering functional characteristics. By setting the triggering condition and the amplitude relationship of the excitation signal, the phase point of the excitation signal corresponding to the waveform of the response signal is fixed, so as to accurately obtain the phase shift characteristics of the tested digital oscilloscope, and unified the reference phase points for phase shift characteristics at different frequencies, successfully obtaining the phase frequency response characteristic curve of the digital oscilloscope. In a set of experiments, the effectiveness and feasibility of the method were verified, which can be used for measuring and evaluating the phase frequency response characteristics of digital oscilloscopes.
		2024 Vol. 45 (9): 1394-1400 [Abstract] ( 49 ) HTML (1 KB) PDF (0 KB) ( 2 )

	1401	Analysis of the Measurement Comparison Results of On-wafer S-parameters
		LIU Chen,GAO Ling,LUAN Peng,CHEN Ting,HUANG Yinglong,LI Yankui,JIN Cheng,ZOU Xiyue,LU Jing,CHEN Keyuan
		DOI: 10.3969/j.issn.1000-1158.2024.09.19
		As the leading laboratory, the 13th Research Institute of China Electronics Technology Group Corporation carried out the measurement comparison of on-wafer S-parameters, summarized and analyzed the measurement results of on-wafer S-parameters submitted by the joined laboratories, and evaluated the measurement results of each laboratory with En. Through the measurement comparison of the on-wafer S-parameters, the accuracy and reliability of the transmission of the quantities are ensured, especially the main sources of the measurement uncertainty of the on-chip S-parameters are unified. At the same time, it also provides the industry with a comparison platform for the consistency of on-chip S-parameter measurement.
		2024 Vol. 45 (9): 1401-1406 [Abstract] ( 38 ) HTML (1 KB) PDF (0 KB) ( 3 )

	1407	Vehicle Network Intrusion Detection Based on CBAMTL-MobileNet V3
		WU Zhongqiang,LI Mengting
		DOI: 10.3969/j.issn.1000-1158.2024.09.20
		A vehicle network intrusion detection method is proposed based on CBAMTL-MobileNet V3. The lightweight MobileNet V3 model is used, and reduced its layers to improve both training and detection speeds. The squeeze-and-excitation (SE) modules in the model are replaced with convolutional block attention module (CBAM) to focus the model more on specific features, enhancing feature extraction capabilities and consequently improving the accuracy of attack detection. Transfer learning is introduced to fine-tune the model weights, reducing parameter and memory resource consumption, thereby shortening the training time and improving the computational speed of the model. Simulation results indicate that the proposed model is better than the MobileNet V3 model in various detection indexes. Compared with other models,the proposed model exhibits both the efficiency of a lightweight model and higher detection accuracy than other complex models, making it the optimal performer in recognizing various types of attacks.
		2024 Vol. 45 (9): 1407-1415 [Abstract] ( 36 ) HTML (1 KB) PDF (0 KB) ( 12 )

	1416	Progress of International Standards for Ionizing Radiation Dose Monitoring Instruments
		HAO Guanghui,LI Dehong,XU Zhui,LIU Chuanfeng,HUANG Jianwei,ZHANG Xuan,ZHANG Xiaole
		DOI: 10.3969/j.issn.1000-1158.2024.09.21
		With the continuous progress in the radiation protection, the international standards related to ionizing radiation dosimeters are also continuously updated and iterated.In order to summarize the development status of IEC and ISO standards in the field and provide reference for the production and selection of dosimeters, by researching and comparing the content of different versions of relevant standards, summarizing the development overview of relevant IEC and ISO standards and the modifications and updates made in the latest version for the dose monitoring instruments of photon, β and neutron, as well as the differences in performance requirements and specifications for various aspects of instruments between the different current standards were compared.It was found that the international standards under each monitoring category tended to be unified in the development process, no longer divided by detector types, etc.Moreover, the overall application scope of these standards was broader, but the relevant standards of dose measurement instruments for pulsed radiation still need to be developed.And different standards applicable to the same monitoring classification had basically the same performance requirements for instruments, however, due to the different purposes and application scenarios of IEC and ISO standards, there were differences in the focus of performance requirements and specifications between the two.
		2024 Vol. 45 (9): 1416-1424 [Abstract] ( 38 ) HTML (1 KB) PDF (0 KB) ( 3 )

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