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2024 Vol. 45, No. 5
Published: 2024-05-28
 
609 Research on 100V Wideband Voltage Ratio Calibration System
JIANG Chunyang,NIE Gaoning,XIA Shengguo, ZHOU Feng,YIN Xiaodong
DOI: 10.3969/j.issn.1000-1158.2024.05.01
50Hz~10kHz voltage ratio calibration system based on digital acquisition device is proposed. The system is composed of voltage conversion unit and digital acquisition device. The channel switching technology is used to greatly improve the accuracy of voltage ratio with the digital acquisition device. The voltage conversion unit is composed of cascade inductive voltage divider, isolation transformer and high & low voltage precision voltage follower. In this part, the turn-back winding process and so on are proposed to reduce the additional error caused by the stray parameters and the iron core material, and a two-stage isolation transformer with twisted pair structure winding is designed. The amplitude error of the two-stage transformer within the 10kHz range shall not exceed 5×10-6, and the phase error shall not exceed 10μrad. Precise low-voltage and high-voltage composite voltage followers are designed to compensate the phase response by using the characteristic matching of the double-package operational amplifier, which significantly improves the phase characteristics of the voltage follower, within the 10kHz range, the amplitude error of the follower shall not exceed 10×10-6, and the phase error shall not exceed 20μrad.The measurement results indicate that the calibration system has high measurement accuracy, and the measurement deviation at 50Hz is not greater than 1×10-6 and 1μrad. Within the 10kHz range, the ratio error deviation is not more than 80×10-6, and the phase error deviation is not more than 60μrad, which can meet the voltage ratio error measurement requirements in different frequency scenarios.
2024 Vol. 45 (5): 609-618 [Abstract] ( 92 ) HTML (1 KB)  PDF (691 KB)  ( 255 )
619 Characterizing the Analog-to-digital Converter with Quantum Voltages
LIANG Qiming,HAN Qina,SHI Yang,ZHOU Kunli,YANG Yan,XU Rui,JIN Shangzhong,ZHAO Jianting,QU Jifeng
DOI: 10.3969/j.issn.1000-1158.2024.05.02
Along with the technological progress of analog-to-digital converters, characterizing these high-precision converters becomes more challenging. Different from the conventional signal source made by semiconductor artifacts, Josephson arbitrary waveform synthesizer (JAWS) based on the macroscopic quantum effect can be traced to Josephsons constant, hence its waveform has ultra-low noise and ultra-low distortions. The performance of the National Instruments 24-bit digitizer PXI 5922 is evaluated by using a Josephson arbitrary waveform generator. The zero-compensation waveform synthesis method is used to simplify the system hardware structure, and high-precision, multi-scale inductive voltage dividers are used to improve evaluation efficiency.Firstly, calibrations of the gain, stability, signal-to-noise ratio, spurious-free dynamic range, total harmonic distortion, signal-to-noise and distortion ratio, and the effective numbers of bits, are presented, where the frequencies are up to 10kHz. Secondly, the phase differences between the two channels of PXI 5922 are calibrated. Finally, according to the harmonic characteristics of the power grid, the amplitude and phase responses of harmonics within the 12th are calibrated with the fundamental frequency of 60Hz. With outstanding accuracy and wide bandwidth, JAWS is valuable in evaluating high-precision analog-to-digital converters.
2024 Vol. 45 (5): 619-625 [Abstract] ( 87 ) HTML (1 KB)  PDF (680 KB)  ( 17 )
626 Calibration Method of Residual Voltage Tester for Electrical Equipment
FENG Jian,HU Junjie,XU Feng,ZHOU Bihong
DOI: 10.3969/j.issn.1000-1158.2024.05.03
The principle of the residual voltage tester for electric equipment is analyzed. A method for calibrating the residual voltage amplitude and delay time parameters of the tester based on the standard resistance-capacitance network method is proposed. The influences of the time constant of the standard resistor and the loss factor of the standard capacitor on the calibration results are analyzed based on the equivalent model of the impedance components. The calculation method of the reference value of residual voltage and delay time is derived for the calibration. The residual voltage tester is calibrated by using a circuit network composed of a 1MΩ AC standard resistor and a 1μF standard capacitor and the results show that the mentioned method meets the calibration for the tester. The uncertainty analysis of the measurement results is carried out. The expanded uncertainty for the residual voltage amplitude is 1.1% and 1.2% for the delay time. The main uncertainty component is the measurement uncertainty of the loss factor of the standard capacitor.
2024 Vol. 45 (5): 626-630 [Abstract] ( 41 ) HTML (1 KB)  PDF (401 KB)  ( 34 )
631 Improved Method of Joint Calibration Based on 3D Millimeter Wave Radar and Camera
SHAO Jianhao,ZHANG Yuanhui,CHEN Kefeng,LIU Kang
DOI: 10.3969/j.issn.1000-1158.2024.05.04
Traditional camera and millimeter-wave radar joint calibration methods have the problem of cumbersome data collection as they can only calibrate on a fixed plane. A fast calibration improvement method applicable to three-dimensional space is proposed based on the traditional methods. Firstly, radar and image preprocessing are performed. Secondly, a time synchronization strategy is used to collect and match a large amount of data within a short period. Then, the random sample consensus algorithm (RANSAC) is used in spatial calibration to reduce the interference of outliers and achieve preliminary coarse calibration. Finally, the Levenberg-Marquardt (LM) algorithm is used to refine the coarse calibration results for precise calibration iteratively. Experimental results show that the improved calibration method converges to an overall root mean square error of about 10 pixels, significantly improving the calibration accuracy compared to traditional joint calibration algorithms, and the calibration process takes about 12 minutes to complete.
2024 Vol. 45 (5): 631-638 [Abstract] ( 89 ) HTML (1 KB)  PDF (642 KB)  ( 19 )
639 Grid-based Multi-targets Template Matching Die Position Detection Method
ZHOU Shuchen,CHEN Xiaorong,WANG Zixuan
DOI: 10.3969/j.issn.1000-1158.2024.05.05
To address the limitations of traditional methods in terms of long detection time and low accuracy, a multi-objective template matching algorithm detecting position of die based on grid is proposed. By improving the traditional template matching method and combining with non-maximum suppression algorithm, the detection speed and accuracy of chip dice are improved. Experimental results show that the proposed algorithm has a recognition rate of over 97% for a single same die, and the single image processing time does not exceed 200ms. It can overcome the detection difficulties caused by different brightness and meet the technical specifications.
2024 Vol. 45 (5): 639-645 [Abstract] ( 56 ) HTML (1 KB)  PDF (839 KB)  ( 8 )
646 Image Feature Point Detection and Matching Method Based on Maximum Image Entropy Gamma Correction Estimation
YUAN Chao,ZHAO Yadong,ZHANG Yao, XU Dawei,YUAN Jing,ZHAI Yongjie
DOI: 10.3969/j.issn.1000-1158.2024.05.06
When the ambient lighting of the captured image is low or high, it will result in low contrast of the image, which will bring great difficulties in feature point detection and matching. To solve this problem, An image feature point detection and matching method based on maximum image entropy Gamma correction estimation is proposed. The contrast of the image is enhanced by a preprocessing algorithm, which is applied to the detection and matching of image feature points. In the preprocessing stage, the image is first normalized using a logarithmic function, and divided into bright and dark components according to a set threshold; then different parameters are adaptively selected for Gamma correction for the two components respectively, and the correction parameter that maximizes its entropy is determined to be the optimal parameter for each component; finally, the above parameters are applied to Gamma correction to generate a corrected map that corresponds to the original image bright and dark regions, and fusion is performed. Finally, the above parameters are applied to the Gamma correction to generate the corrected maps corresponding to the bright and dark regions of the original image, and fused to generate the enhanced image. The pre-processed image is subjected to feature point detection and matching experiments. The results show that compared with the unprocessed algorithm, HE algorithm and adaptive Gamma algorithm, the number of matches after feature point detection is increased by 85.7%, 26.4% and 15.2% on dark images, and 59.4%, 12.2% and 103.8% on bright images, respectively, and the matching effect is significantly improved.
2024 Vol. 45 (5): 646-653 [Abstract] ( 58 ) HTML (1 KB)  PDF (668 KB)  ( 25 )
654 Measuring Thermal Conductivity of Solid Materials Based on the Transient Hot-bridge Method and Evaluation of the Uncertainty
ZHOU Yi,PAN Yonggao,MIN Qitao,QIU Ping,YAO Jian,LI Jun
DOI: 10.3969/j.issn.1000-1158.2024.05.07
On the basis of Hammerschmidt's establishment of THB theory, the analytical model and correction model of thermal conductivity under constant input current mode were improved, and the structure design and simulation verification of THB measurement sensors were carried out. An experimental setup and system with a measurement range of 0.01~150W/(m·K) were constructed, and the corrected model was verified through measurement. Seven kinds of solid materials such as polystyrene, PMMA and steel 45 were measured by using the experimental device.The uncertainty of the measurement results was evaluated and compared with the measurement results of different instruments. The experimental results show that the measurement repeatability of the experimental device is better than 1.7%, the relative deviation from the reference value is within ± 5%, and the relative expanded uncertainty of the measurement results is Urel=2.94%(k=2).
2024 Vol. 45 (5): 654-665 [Abstract] ( 60 ) HTML (1 KB)  PDF (879 KB)  ( 20 )
666 Dynamic Calibration and Frequency Domain Analysis of Small Inertia Thermocouples
ZHAO Jian
DOI: 10.3969/j.issn.1000-1158.2024.05.08
The distortion of engine intake temperature affects the stability of the engine, and small inertia thermocouples are usually used to measure its rapidly changing airflow temperature. In order to accurately and comprehensively obtain the dynamic characteristic of small inertia thermocouples, a dynamic characteristic calibration and evaluation method of small inertia thermocouples is porposed, and the construction of dynamic calibration device, calibration test and frequency domain analysis are introduced. The dynamic calibration method is combined with a pulse laser and a calibration wind tunnel, through the analysis of amplitude frequency characteristics and phase frequency characteristics, the evaluation method for the dynamic characteristics of small inertia thermocouples is expanded. Using this calibration method for dynamic calibration of small inertia thermocouples, the maximum relative uncertainty of type A reduces from 7.2% to 2.4%, which can be used for dynamic calibration of fast response temperature sensors below 30ms.It provides technical reference for high-frequency dynamic temperature measurement such as engine intake temperature distortion.
2024 Vol. 45 (5): 666-670 [Abstract] ( 53 ) HTML (1 KB)  PDF (427 KB)  ( 41 )
671 Reconstruction Algorithm of AT Temperature Field Based on Compressed Sensing
WEI Yuankun,YAN Hua,ZHOU Yinggang
DOI: 10.3969/j.issn.1000-1158.2024.05.09
To improve the temperature field reconstruction ability of acoustic tomography (AT), an AT temperature field reconstruction algorithm based on compressed sensing (CS-AT algorithm) was proposed. The algorithm utilizes signal sparsity to reduce the amount of data to be solved and reduce the difficulty of solving inverse problems. Firstly, selected an appropriate dictionary and constructed a framework based on CS for the forward and inverse problem of temperature field reconstruction by AT. Then, the orthogonal matching pursuit (OMP) algorithm was used for CS reconstruction to obtain the solution of the temperature field reconstruction in the sparse domain. Finally, transformed it back to the original domain and interpolated it to 37×37 pixel fine temperature distribution using cubic splines. Through numerical simulation, for kinds of models temperature fields (average temperature, single peak, bimodal, and four peak) were reconstructed using the classical least squares method (LSM) and CS-AT algorithm under noisy and non-noisy conditions respectively. Average temperature, single peak, and double peak actual temperature fields were reconstructed on an independently developed experimental system. Simulation and experiments have shown that CS-AT algorithm can effectively reduce temperature field reconstruction errors. Under the four peak temperature field, the highest reconstruction error of CS-AT algorithm is only 25.5% of LSM.
2024 Vol. 45 (5): 671-677 [Abstract] ( 66 ) HTML (1 KB)  PDF (758 KB)  ( 22 )
678 Image Reconstruction of Electrical Capacitance Tomography Based on Multi-scale Densely Connected Network
ZHANG Lifeng,CHANG Enjian
DOI: 10.3969/j.issn.1000-1158.2024.05.10
In order to solve the nonlinear ill-posed inverse problem in electrical capacitance tomography (ECT), a multiscale dense connection network (multi-scale densely connected network,MD-Net) model is proposed. The model consists of a multiscale feature fusion module and a densely connected block to further improve the reconstruction accuracy of images by fusing multiscale features. A flow-type data set is constructed by the MATLAB simulation experiment platform, and the learning and training of the training set are completed by using the nonlinear mapping ability of the densely connected network. The training effect is evaluated by using the test set. Static experiments are conducted on this basis. The simulation and static experiments results show that the method has the highest reconstruction accuracy, good noise immunity, and generalization ability compared with LBP, Landweber iterative algorithm, and other deep learning methods.
2024 Vol. 45 (5): 678-684 [Abstract] ( 51 ) HTML (1 KB)  PDF (715 KB)  ( 5 )
685 Verification Method of Wall Oxygen Inhaler Based on Deep Learning
HUANG Kang,SUN Bin,WU Yanjuan,QIU Kaijun,ZHAO Yuxiao
DOI: 10.3969/j.issn.1000-1158.2024.05.11
Aiming at the problems of large influence of manual reading and low verification efficiency of wall oxygen inhaler, a verification method of wall oxygen inhaler based on deep learning is proposed. Images of the wall oxygen inhaler are taken by an industrial camera and fed into the improved residual block ResNet-18 network for automatic readings of the float flow meter. Residual block structure improvement strategies include: add a dropout network layer in the direct connection path; remove the 1×1 convolutional layer in the residual block; use the LeakyReLU activation function instead of the ReLU activation function. The dataset is divided into training set and test set according to the ratio of 51, and after 100 batches of training, the accuracy of the network model on the test set is 98.37%. The wall oxygen inhaler with qualified verification results of National Institute of Metrology is connected to the verification device for verification,and the maximum indication error of the float flowmeter is calculated to be±0.2L/min, the error is within the allowable range, and the verification results are the same. The results show that this method can replace manual reading and effectively improve the verification efficiency.
2024 Vol. 45 (5): 685-691 [Abstract] ( 73 ) HTML (1 KB)  PDF (503 KB)  ( 4 )
692 flow measurement;gas flow standard device;clearance-sealed;passive piston;traceability
CHEN Chao,SONG Jin,ZHU Biyu
DOI: 10.3969/j.issn.1000-1158.2024.05.12
In the low gas flow measurement area, passive gas piston prover with clearance-sealed are widely used, because it has the advantages of eazy operation, high measurement efficiency, no mercury seal, easy to carry, and has function of automatic temperature and pressure compensation. However, there is no calibration specification for passive gas piston prover with clearance-sealed in China,The reciprocating motion of the passive piston will cause pressure fluctuation in the measuring pipeline.The traceability for passive gas piston prover with clearance-sealed using flow measurement method directly still has some difficulties. In this situation, a new traceability method for calibration passive gas piston prover with clearance-sealed by geometry measurement method is detailed described, the uncertainty of the geometry measurement method is also evaluated, and comparison with relevant foreign institution is performed for uncertainty verification.The test results show that the passive gas piston prover with clearance-sealed can be calibrated by geometry measurement method perfectly.
2024 Vol. 45 (5): 692-697 [Abstract] ( 65 ) HTML (1 KB)  PDF (435 KB)  ( 42 )
698 Damage Identification Method of Derrick Steel Structure Based on Time-domain Multi-parameter Information Fusion and Machine Learning Algorithm
HUANG Yan,HAN Dongying,ZHU Guoqing,LI Yuefeng,LI Kexin
DOI: 10.3969/j.issn.1000-1158.2024.05.13
To avoid the safety hazards caused by structural damage during the operation of derrick steel structures, a method of derrick steel structure damage identification based on principal component analysis and random forest algorithm is proposed by combining time-domain multi-parameter information fusion with machine learning algorithms based on the displacement response signal of derrick steel structures. The acceleration response signal of the derrick steel structure under the impact load is extracted using the acceleration sensor, and the displacement response signal is obtained by processing the acceleration response signal, and three time-domain features containing the impulse factor, margin factor and cliffness are extracted; the three features are fused into a new comprehensive time-domain feature using principal component analysis, and most of the information contained in the original signal is retained; the processed data is fed into the random forest algorithm model for derrick steel structure damage identification, the whole process only needs to collect the post-damage signal, not the pre-damage signal. The above damage identification model was used to simulate the finite element model of the derrick steel structure, and the experimental results of the ZJ70 derrick steel structure laboratory model were also analysed. The analysis results show that the above damage identification method can accurately and efficiently determine the single or multiple damage of the derrick steel structure, and the correct rate of judgment is over 90%.
2024 Vol. 45 (5): 698-705 [Abstract] ( 53 ) HTML (1 KB)  PDF (752 KB)  ( 3 )
706 Cavitation Fault Diagnosis of Centrifugal Pump Based on Image Recognition
HUANG Haiming,LIU Yan,WU Denghao,MOU Jiegang
DOI: 10.3969/j.issn.1000-1158.2024.05.14
When using the one-dimensional vibration signal of a centrifugal pump to identify the cavitation state, there are problems such as inaccurate signal feature search and the signal being greatly affected by noise. A centrifugal pump cavitation fault diagnosis method based on image recognition is proposed. The savitzky-golay convolution smoothing algorithm is used to denoise the original vibration signal, and then the denoised signal is converted into a pseudo-RGB image. A convolution kernel is designed based on the characteristics displayed in the image, and the image is convolved to obtain the features picture. Single-channel transformation is performed on the feature picture to reduce data, and finally the single-channel image is used as the input of the LeNet-5 neural network for cavitation fault diagnosis. Experimental test results show that the method can accurately identify centrifugal pump cavitation faults while accelerating model training, and the accuracy can reach 1. The study provides a new method for rapid diagnosis of centrifugal pump cavitation.
2024 Vol. 45 (5): 706-713 [Abstract] ( 62 ) HTML (1 KB)  PDF (714 KB)  ( 14 )
714 Study on Internal Defect Detection Technology of Billet Based on Ultrasonic Tomography
LIU Huihe,ZHENG Huifeng,TANG Jiaxuan,YAO Lei
DOI: 10.3969/j.issn.1000-1158.2024.05.15
To achieve accurate detection of internal defect morphology in billets, a priori knowledge-based ultrasonic tomographic imaging method is proposed. Firstly, the principle of fusing prior knowledge into ultrasonic tomographic imaging is elaborated, and the shortest path ray tracing method is used to improve the ultrasonic tomographic imaging. Then, the feasibility of the method is verified through finite element simulation analysis, and the acquisition scheme is discussed to determine the relevant detection parameters. Finally, an experimental detection system is built, and related validation experiments are conducted. Through processing and analyzing the imaging results of defect distribution, the results show that for the single pore defect specimen, the relative error of pore contour area is 2.84% with small position error. For the double-hole defective test block, the relative error is 5.45%, in which the hole far away from the transmitting probe has a larger position error. The method provides an idea and method for the application of ultrasonic tomography technology.
2024 Vol. 45 (5): 714-721 [Abstract] ( 55 ) HTML (1 KB)  PDF (812 KB)  ( 5 )
722 Research on Improved FFT Algorithm in Frequency Domain Fully Focused Ultrasound Imaging
ZHOU Yinggang,LIU Zhenxing,LIANG Jingliang,WANG Shanhui,LI Jifeng,WU Meina
DOI: 10.3969/j.issn.1000-1158.2024.05.16
At present, time-domain ultrasonic imaging algorithms are commonly used for ultrasonic imaging detection of hole defects in steel blocks. The delay stacking process in the method requires repetitive and tedious iterative operations, which cannot meet the requirements of high-quality real-time imaging. The frequency domain ultrasound imaging algorithm has higher imaging resolution and faster imaging speed. A radix 2-FFT input hierarchical truncation algorithm for any non zero value input was proposed, and the algorithm was applied to the frequency domain FMC-PSM algorithm for imaging, resulting in an improved FMC-PSM algorithm for ultrasonic imaging of hole defects in steel blocks. The experimental results show that compared to the standard FMC-PSM algorithm, the improved frequency domain FMC-PSM algorithm can present higher quality images while increasing the imaging speed by 15%, which is expected to solve the problem of difficult balance between imaging quality and imaging efficiency in ultrasound imaging.
2024 Vol. 45 (5): 722-729 [Abstract] ( 78 ) HTML (1 KB)  PDF (688 KB)  ( 4 )
730 Research on CFRP Damage Detection Based on Improved Adaptive Threshold EIT Algorithm
MA Min,SHAN Yuze
DOI: 10.3969/j.issn.1000-1158.2024.05.17
Electrical impedance tomography (EIT) has many advantages such as fast speed and no radiation, and has gradually emerged in the research of carbon fiber reinforced composite materials in recent years. The serious pathological nature of the inverse problem of EIT leads to the phenomenon of missing damaged edge information in the reconstructed images of algorithms such as FISTA. An adaptive threshold operator related to the sparsity of the solution vector and a variable threshold function have been introduced to address the above issues, solving problem of non differentiability at the edges of the soft threshold function. The simulation experiment shows that compared with traditional algorithms, the improved algorithm performs the best overall. For the center crack damage with poor image reconstruction performance of traditional algorithms, the correlation coefficient of the FIMSTA algorithm reaches 0.7038, which is 51.08% higher than the best performing FISTA algorithm.
2024 Vol. 45 (5): 730-737 [Abstract] ( 44 ) HTML (1 KB)  PDF (742 KB)  ( 19 )
738 A Method for Recovering Missing Data of Bearing Faults of Wind Turbine Generator Based on Four-dimensional Tensor Model Characteristic Decomposition
SHI Peiming,SUN Hangxuan,XU Xuefang,HAN Dongying
DOI: 10.3969/j.issn.1000-1158.2024.05.18
To solve the problem that the fault type cannot be identified due to missing data in the process of collecting fault information of wind turbine bearing, a method based on four-dimensional tensor model feature decomposition is proposed to recover missing data. Firstly, the fourth order tensor of vibration fault data is constructed based on the four dimensions of rotational speed, time-domain window, empirical mode decomposition and time.Secondly, the factor matrix is obtained by Tucker decomposition of the tensor. Then, tensor filling is realized by weighted optimization algorithm to recover the missing values of bearing fault data.Finally, the core tensor and factor matrix are obtained iteratively based on the gradient optimization algorithm, and the four-dimensional tensor is reconstructed to get the recovered data. The validity and reliability of the proposed method are verified by experimental and practical data. The results show that the RMSE values of the two groups of recovered data are 0.3169 and 0.0291, which are much lower than the RMSE values of the four comparison methods. By using BSR to extract fault features from two groups of recovered data, the signal-to-noise ratio is significantly improved to -13.2647 and -15.5212, respectively, which further verifies the accuracy of the proposed method.
2024 Vol. 45 (5): 738-746 [Abstract] ( 40 ) HTML (1 KB)  PDF (670 KB)  ( 3 )
747 Correction Factors of Medical Electron Beams for Various Water-equivalent Materials
YAO Jintao,LI Yihua,WANG Kun,WANG Zhipeng,JIN Sujun,WU Han
DOI: 10.3969/j.issn.1000-1158.2024.05.19
In view of the measurement and application of the correction factor for water equivalent materials in medical electron beam dose measurement, the experimental values of depth scaling factor (cpl), fluence scaling factor (hpl) and total correction factor (kpl) are obtained by scanning the percentage depth dose (PDD) curve of medical electron beam in water and water-equivalent materials. The results show that the measurement results of water equivalent materials can be converted into absorbed dose to water by the combination of cpl and hpl or only using kpl. Comparing the PDD curves shows that the maximum deviation of R50 of three water-equivalent materials after cpl-hpl correction are 0.19%, 0.28% and 0.22% compared with that measured in water at the electron energy of 10~20MeV. The maximum deviation of R50 obtained by kpl correction are 0.23%, 0.29% and 0.18%, respectively. Conclusion: the experimental data of cpl-hpl and kpl are provided, which is convenient for users to quickly measure the absorbed dose to water of electron beam, and it is simpler and more efficient to use kpl than cpl-hpl.
2024 Vol. 45 (5): 747-754 [Abstract] ( 51 ) HTML (1 KB)  PDF (596 KB)  ( 4 )
755 Determination of Silicon Content in Aluminum Alloy by Ultrasonic Digestion-Inductively Coupled Plasma Atomic Emission Spectrometry
KONG Shengnan,XU Shi
DOI: 10.3969/j.issn.1000-1158.2024.05.20
Determination of silicon content in aluminum alloys using ultrasonic sealed digestion-inductively coupled plasma atomic emission spectrometry was established.By optimizing the digestion conditions of the sample,screening the ultrasonic intensity,sealing conditions,ultrasonic temperature,ultrasonic time,and acid concentration,and selecting appropriate analytical spectral lines,the medium content of silicon element was determined.Precision and accuracy experiments were conducted on aluminum alloys ZLD105,ZBY5291 and ZBY5091 with different silicon contents.The relative standard deviation (SRSD) was 0.3%~0.7%, and the recovery rate was 98.9% ~101.0%.This method is low-cost,fast,accurate,and convenient for analysis,and can be applied to actual sample testing.
2024 Vol. 45 (5): 755-760 [Abstract] ( 50 ) HTML (1 KB)  PDF (572 KB)  ( 9 )
761 Current Situation of National Quality Infrastructure Construction and Application Under the Goal of “Dual Carbon”
WANG Bin,LONG Yan,JIN Dongsheng,LIU Tao,HUA Tianyi,TIAN Yifei,ZHAO Yingna
DOI: 10.3969/j.issn.1000-1158.2024.05.21
As the public structure of national quality infrastructure services, measurement, standards and conformity assessment are indispensable important forces for China to achieve carbon peak carbon neutrality. By systematically analyzing the inheritance and development relationship between Chinas carbon emission measurement system at the present stage and the preparation of international IPCC greenhouse gas inventories, and the application of main carbon emission measurement methods in practical work, the process of carbon emission management and standardization work framework are collated, the important role of MRV system in carbon emission inspection and testing and the development of green, energy-saving and low-carbon certification organizations are summarized. Finally, the characteristics, trends and problems of national quality infrastructure development under the “dual carbon” goal are summarized and analyzed, and suggestions are provided for the development direction of Chinas next carbon peaking carbon neutral measurement system, standardization and conformity assessment model.
2024 Vol. 45 (5): 761-768 [Abstract] ( 81 ) HTML (1 KB)  PDF (852 KB)  ( 44 )
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