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International Journal of Manufacturing Technology and Management
Journal Prestige (SJR): 0.159  Number of Followers: 9  Hybrid journal (It can contain Open Access articles)ISSN (Print) 1368-2148 - ISSN (Online) 1741-5195 Published by Inderscience Publishers  [439 journals]
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- A path planning algorithm of intelligent transportation robot based on
extended Kalman filter-
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Authors: Guan He, Honglan Yang
Pages: 211 - 226
Abstract: Aiming at the problem of long calculation time and slow response speed of traditional intelligent transportation robot path planning algorithm, an intelligent transportation robot path planning algorithm based on extended Kalman filter is proposed. By analysing the relevant principles of optical flow localisation, aiming at the fact that a single optical flow sensor can not meet the needs of all application scenarios, multiple optical flow sensors are fused through extended Kalman filter, and the system model and observation model of intelligent transportation robot are established at the same time. The optical flow sensor is fixed on the intelligent transportation robot, the two-dimensional coordinates of the intelligent transportation robot are obtained in real time, and the moving path is planned. The results show that the proposed algorithm can reduce the operation time and improve the response efficiency.
Keywords: extended Kalman filter; intelligent transportation robot; path planning algorithm; observation model
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 211 - 226
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133466
Issue No: Vol. 37, No. 3/4 (2023)
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- Research on remote monitoring method of mechanical equipment fault based
on virtual reality technology-
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Authors: Yanmei Jiao, Huihui Tian
Pages: 227 - 240
Abstract: Aiming at the problems of poor fault monitoring effect, low precision and long time in the current mechanical equipment fault remote monitoring method, a mechanical equipment fault remote monitoring method based on virtual reality technology is proposed. Using virtual reality technology, a three-dimensional model of mechanical equipment is built, the operation status and perceived information of mechanical equipment is analysed, the mechanical equipment fault in virtual reality is expressed, and the remote monitoring of mechanical equipment fault is realised. The experimental results show that the average mechanical equipment fault identification ability of the proposed method is 97.8%, and the average mechanical equipment fault false alarm rate is 4.8%. When the mechanical equipment fault characteristic samples are 500, the mechanical equipment fault remote monitoring time is only 9.5 s, the monitoring time is fast, the remote monitoring effect is good, and the monitoring accuracy is high. It has good application effect.
Keywords: virtual reality technology; mechanical equipment failure; fault remote monitoring; three-dimensional model geometric transformation; FMECA; FTA
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 227 - 240
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133467
Issue No: Vol. 37, No. 3/4 (2023)
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- An adaptive compensation control method for the transmission error of the
mechanical system based on the characteristic model-
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Authors: Wanwan Ren, You Wu, Ronghua Du
Pages: 241 - 256
Abstract: Applying the characteristic model-based golden section adaptive (GSA) control theory, an adaptive error compensation control method for the transmission error of the mechanical system is proposed in this paper. A mechanical transmission system with a compensation mechanism was established, taking the ball screw as the main transmission component. The dynamics characteristic of the mechanical transmission system is analysed. The GSA control theory based on the characteristic model is introduced. For the established characteristic model of the transmission system, the projection gradient method is used to identify its characteristic parameters online. The stability analysis of the closed-loop system consisting of characteristic model and GSA controller is carried out. The experimental results show that the characteristic model-based GSA control has a good effect on the transmission error compensation, as well as simple on-site debugging. The effectiveness and superiority of the method are verified.
Keywords: characteristic model; golden section adaptive control; golden section adaptive; GSA; mechanical transmission system; error compensation
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 241 - 256
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133468
Issue No: Vol. 37, No. 3/4 (2023)
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- Traceability method of industrial product logistics information based on
RFID middleware-
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Authors: Wanwan Ren, You Wu, Ronghua Du
Pages: 257 - 271
Abstract: In order to improve the effect of logistics information traceability, this paper designs an industrial product logistics information traceability method based on RFID middleware. Firstly, RFID module is constructed and connected with SSH architecture to monitor the logistics transportation process in real-time by using GPS technology. Based on this, the fractal box dimension of the location range of RFID middleware is determined to form a location update strategy. Finally, the logistics location traceability candidate area is constructed, and then the RF card location estimation method is constructed through probability statistics, taking the path with the largest probability value as the traceability path. The experimental results show that the average traceability success rate of this method is 93.54%, the location information acquisition time is less than 1.50 min, and the logistics location information matching accuracy can reach 95.1%, indicating that this method realises the design expectation.
Keywords: RFID middleware; radio frequency identification; logistics positioning
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 257 - 271
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133469
Issue No: Vol. 37, No. 3/4 (2023)
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- Frequency control method of cutting machining based on wavelet transform
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Authors: Wanwan Ren, You Wu, Ronghua Du
Pages: 272 - 283
Abstract: Because the traditional method does not effectively process the machining signal in the machining frequency control, there are some problems such as low control accuracy and unstable machining signal. Therefore, a frequency control method of cutting machining based on wavelet transform is proposed. The regulator command signal is used to adjust the phase of the speed regulation controller of the cutting machinery to realise the correction of the mechanical operation signal. The Lagrange method is used to estimate the mechanical vibration state, and the Fourier transform method is used to change the signal. It is concluded that the signal is relatively stable in the period of 0.43 s-0.75 s. The method of wavelet transform is used to control the cutting machining frequency to realise the cutting machining frequency control. The experimental results show that this method has high control accuracy, can effectively remove machining noise, and has high application value.
Keywords: wavelet transform; cutting machinery; processing frequency; speed controller; virtual instrument; Fourier transform
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 272 - 283
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133470
Issue No: Vol. 37, No. 3/4 (2023)
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- Numerical simulation of combustion temperature field in circulating
fluidised bed boiler-
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Authors: Xiaofang Wu, Lifeng Zhang
Pages: 284 - 301
Abstract: In view of the low accuracy and long simulation time of traditional methods in the numerical simulation of combustion temperature field of circulating fluidised bed boiler, a new numerical simulation and analysis method of combustion temperature field of circulating fluidised bed boiler is proposed. The combustion mathematical model of circulating fluidised bed boiler is constructed through gas phase combustion model, volatile component analysis model, coke combustion model and radiation model. On this basis, the physical model is established by gambit, and the grid is divided into blocks. The furnace is divided into several parts. Under the inlet boundary conditions, outlet boundary conditions and wall boundary conditions, the temperature field of circulating fluidised bed boiler combustion is numerically simulated. The simulation results show that the proposed method has high accuracy and short simulation time.
Keywords: circulating fluidised bed; boiler combustion; temperature field; numerical simulation; coke combustion model
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 284 - 301
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133471
Issue No: Vol. 37, No. 3/4 (2023)
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- Research on resource allocation management of industrial supply chain
based on blockchain-
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Authors: Yulong Wan, Xiaoying Bai
Pages: 302 - 314
Abstract: In order to improve the efficiency and effect of industrial supply chain resource allocation, this paper studies the resource allocation method of industrial supply chain based on block chain. This method analyses the coupling relationship between block chain and supply chain resource allocation management, updates the industrial supply chain resource pheromone, constructs the industrial supply chain resource allocation model through block chain technology, and realises the industrial supply chain resource allocation management by combining the optimised simulated annealing algorithm. The experimental results show that the cost consumption rate of the proposed method is only 32.5%, the reliability is as high as 95.2%, and the configuration time is only 17.8 s. Therefore, the proposed method has good resource allocation effect and improves the configuration efficiency.
Keywords: blockchain technology; simulated annealing algorithm; industrial supply chain; supply chain resources; resource allocation model
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 302 - 314
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133472
Issue No: Vol. 37, No. 3/4 (2023)
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- A performance evaluation of supply chain management based on factor
clustering analysis-
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Authors: Yehui Dong, Jiawei Gao, Shanyin Yao
Pages: 315 - 333
Abstract: In order to overcome the problems of low significance coefficient and low evaluation accuracy of current methods, a performance evaluation method of supply chain management based on factor clustering analysis was proposed. Firstly, SPSS software is used to standardise the data of influencing factors of supply chain management performance, and the factors that are not suitable for factor molecules are removed. Then, a factor analysis model was built, and the evaluated eigenvalue, eigenvalue contribution and cumulative contribution after model rotation were calculated. The clustering analysis of multiple common factors and the distance between samples were combined with the contribution calculation results. Finally, the correlation between supply chain management performance evaluation indicators is analysed, the weight of evaluation indicators is calculated, and the performance evaluation results are obtained. Experimental results show that the significance coefficient of the proposed method is always higher than 0.8, and the accuracy is up to 98%.
Keywords: factor analysis; cluster analysis; supply chain management; performance appraisal
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 315 - 333
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133473
Issue No: Vol. 37, No. 3/4 (2023)
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- Vibration fault detection method of boiler feed pump based on Hilbert
vibration decomposition-
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Authors: Yanyuan Li, Xingming Zhao, Zhongzhu Liu, Xiaofang Sun
Pages: 334 - 348
Abstract: In this paper, a vibration fault detection method of boiler feed pump based on Hilbert vibration decomposition is proposed. Firstly, the vibration signal characteristics of boiler feed pump are analysed. Then, the wavelet threshold denoising principle is used to quantify the vibration signal and obtain the denoised vibration signal. Then, Hilbert vibration decomposition method is used to decompose the vibration signal and extract the signal features. Finally, the fault type of the feed water pump is judged by the abnormal increase of the feed water pump outlet pressure and the failure of the full opening of the deaerator. The simulation results show that the accuracy of vibration fault detection of boiler feed pump by the proposed method is up to 100%, and the detection time is within 18.32 s. The detection accuracy of the proposed method is high, and the detection time is short.
Keywords: Hilbert vibration decomposition; boiler feed pump; fault detection; wavelet threshold
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 334 - 348
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133474
Issue No: Vol. 37, No. 3/4 (2023)
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- Adaptive scheduling of agricultural machinery equipment production lines
for intelligent manufacturing-
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Authors: Yanyuan Li, Xingming Zhao, Zhongzhu Liu, Xiaofang Sun
Pages: 349 - 361
Abstract: Aiming at the problems of low utilisation, low balance and long-time consumption of traditional scheduling methods, an adaptive scheduling method of agricultural machinery equipment production lines for intelligent manufacturing is proposed. Firstly, according to the number of production plans and the fixed position of the production line, the adaptive scheduling mathematical model of the production line is established. Then, Gaussian mutation operation is used to mutate the pheromone of ant colony algorithm to complete the improvement of ant colony algorithm. Finally, the improved ant colony algorithm is used to solve the production line adaptive scheduling model to realise the adaptive scheduling of agricultural machinery equipment production line. The experimental results show that the average utilisation rate of this method is as high as 94.8%, the average equilibrium degree is as high as 94.4%, and the scheduling time is only 15.9 s.
Keywords: intelligent manufacturing; improved ant colony algorithm; agricultural machinery equipment; production line scheduling; adaptive scheduling model
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 349 - 361
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133475
Issue No: Vol. 37, No. 3/4 (2023)
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- Construction of human resource allocation model of flow production line
based on fuzzy mathematics-
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Authors: Yanyuan Li, Xingming Zhao, Zhongzhu Liu, Xiaofang Sun
Pages: 362 - 375
Abstract: In order to improve the rationality and access rate of human resource allocation, a method of constructing human resource allocation model of assembly line based on fuzzy mathematics is proposed. Firstly, human resource data is encrypted through chaotic sequence. Then, the talent flow of assembly line is regarded as a random variable, and a Markov prediction model is established to reduce the prediction error combined with constraints. Finally, the fuzzy mathematical algorithm is introduced to divide the importance degree of posts, establish the human resource allocation model, and realise the human resource allocation of assembly line. Verification shows that the maximum matching degree of the method is 1.90, and the access rate is less than 2 s, which effectively improves the matching degree and reduces the access time.
Keywords: fuzzy mathematics; human resource allocation; prediction model; chaotic sequence; Markov
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 362 - 375
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133476
Issue No: Vol. 37, No. 3/4 (2023)
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- An evaluation model of manufacturing innovation ability based on factor
analysis method-
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Authors: Yanyuan Li, Xingming Zhao, Zhongzhu Liu, Xiaofang Sun
Pages: 376 - 390
Abstract: In order to overcome the problem of poor accuracy of innovation capability evaluation model, this paper proposes a manufacturing innovation capability evaluation model based on factor analysis. Firstly, the evaluation index system of manufacturing innovation ability is built. Secondly, the extension analytic hierarchy process is used to obtain the evaluation index weight of innovation ability. Finally, the data variables are selected to construct the sample matrix. The original data are standardised, transformed and tested according to the KMO test standard. The evaluation of manufacturing innovation ability is realised by calculating the factor score, and the evaluation model of manufacturing innovation ability is constructed based on the factor analysis method. The experimental results show that the evaluation time of innovation ability of this model is only 8.6 s. The accuracy of the evaluation model in this paper is 99%, which shows that the reliability evaluation result of the model is better.
Keywords: factor analysis method; extension analytic hierarchy process; manufacturing industry; innovation ability evaluation model
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 376 - 390
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133477
Issue No: Vol. 37, No. 3/4 (2023)
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- Classification and recognition method of intelligent storage goods based
on visual servo-
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Authors: Jinbin Zhao, Liyu Ma, Fei Gao, Shujian Chen
Pages: 391 - 403
Abstract: This paper proposes an intelligent storage goods classification and recognition method based on visual servo. The camera coordinates are calibrated based on the visual servo system, and the quaternion Gabor filter convolution algorithm is used to extract the characteristic area of intelligent storage goods. The case differentiation algorithm is used to realise the characteristic area classification of intelligent storage goods. The visual servo technology is used to obtain the objective constraints of the intelligent storage goods recognition function, and the greedy heuristic algorithm is used to solve the optimal intelligent storage goods recognition function to realise the intelligent storage goods classification and recognition. The experimental results show that the classification and recognition accuracy of intelligent storage goods can reach 96.3, the classification and recognition accuracy can reach 97.2%, and the efficiency is significantly improved.
Keywords: visual servoing; quaternion Gabor filter convolution algorithm; greedy heuristic algorithm; intelligent storage; cargo classification and recognition
Citation: International Journal of Manufacturing Technology and Management, Vol. 37, No. 3/4 (2023) pp. 391 - 403
PubDate: 2023-09-17T23:20:50-05:00
DOI: 10.1504/IJMTM.2023.133478
Issue No: Vol. 37, No. 3/4 (2023)
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