Pub Date : 2019-06-01DOI: 10.1109/yac.2019.8787666
{"title":"[Copyright notice]","authors":"","doi":"10.1109/yac.2019.8787666","DOIUrl":"https://doi.org/10.1109/yac.2019.8787666","url":null,"abstract":"","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89156958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to solve the problems of unstable temperature and pressure in the working environment, the data transmission interference and the difficulty of instrument maintenance, which occur in the industrial field application of the swirlmeter. This paper builds a hardware platform with low-power chips STM32, XTR115 and other devices, and uses the software modular programming idea to realize the product design of intelligent swirlmeter with the two-wire 4∼20mA output. At the same time, a novel networked monitoring platform for the swirlmeter was developed. The platform combines technologies such as wireless transport, database MySQL, and custom communication protocols to enable authorized users to remotely monitor field devices. The experiment proves that the system has high precision, stable operation and reasonable design.
{"title":"Design and implementation of swirlmeter and its monitoring platform","authors":"Ling Jiang, Bingbing Shen, Liang Hua, Juping Gu, Jiahao Zhao, Dongdong Wu","doi":"10.1109/YAC.2019.8787710","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787710","url":null,"abstract":"In order to solve the problems of unstable temperature and pressure in the working environment, the data transmission interference and the difficulty of instrument maintenance, which occur in the industrial field application of the swirlmeter. This paper builds a hardware platform with low-power chips STM32, XTR115 and other devices, and uses the software modular programming idea to realize the product design of intelligent swirlmeter with the two-wire 4∼20mA output. At the same time, a novel networked monitoring platform for the swirlmeter was developed. The platform combines technologies such as wireless transport, database MySQL, and custom communication protocols to enable authorized users to remotely monitor field devices. The experiment proves that the system has high precision, stable operation and reasonable design.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"40 1","pages":"415-420"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78691423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787674
Qi Qiao, Kang Nie, Jiuqiang Deng, Wei Ren, Xinglong Chen, Yao Mao
As the tracking target of the optoelectronic tracking system changes, higher requirements are placed on the tracking accuracy of the optoelectronic tracking system. The optoelectronic tracking system will be subjected to various nonlinear disturbances during the actual operation, which affects the tracking accuracy of the system. In the process of designing traditional PID controllers, the nonlinear factors existing in the system are often neglected. The controller designed by this method is difficult to improve the tracking accuracy of the system. Therefore, in order to improve the tracking accuracy of the optoelectronic tracking system, the primary task is to improve the anti-disturbance capability of the system. This paper uses a sliding mode controller, which has the advantages of fast response, insensitivity to parameter changes and disturbances, to suppress the interference of external disturbances on the system. Among them, the sliding model surface adds the integral term of the position error, and the control law adopts the improved exponential approach law, which effectively suppresses the chattering phenomenon of the sliding mode controller and improves the anti-disturbing ability of the optoelectronic tracking system. The simulation results verify the effectiveness and superiority of the sliding mode control strategy designed in this paper.
{"title":"Sliding Mode Control of the Optoelectronic Stabilized Platform Based on the Exponential Approach Law","authors":"Qi Qiao, Kang Nie, Jiuqiang Deng, Wei Ren, Xinglong Chen, Yao Mao","doi":"10.1109/YAC.2019.8787674","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787674","url":null,"abstract":"As the tracking target of the optoelectronic tracking system changes, higher requirements are placed on the tracking accuracy of the optoelectronic tracking system. The optoelectronic tracking system will be subjected to various nonlinear disturbances during the actual operation, which affects the tracking accuracy of the system. In the process of designing traditional PID controllers, the nonlinear factors existing in the system are often neglected. The controller designed by this method is difficult to improve the tracking accuracy of the system. Therefore, in order to improve the tracking accuracy of the optoelectronic tracking system, the primary task is to improve the anti-disturbance capability of the system. This paper uses a sliding mode controller, which has the advantages of fast response, insensitivity to parameter changes and disturbances, to suppress the interference of external disturbances on the system. Among them, the sliding model surface adds the integral term of the position error, and the control law adopts the improved exponential approach law, which effectively suppresses the chattering phenomenon of the sliding mode controller and improves the anti-disturbing ability of the optoelectronic tracking system. The simulation results verify the effectiveness and superiority of the sliding mode control strategy designed in this paper.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"138 1","pages":"407-410"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77609302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The heavy-duty vehicles have large transportation capacity. Load value and load centroid position of the heavy-duty vehicles vary with the cargo mass and the driving condition, which affect driving safety and handling stability. Load value and load centroid position of the vehicles are usually measured on fixed test platform, and the vehicles are stationary or pass the platform slowly in the measurement process. This paper proposes a vehicle load and load centroid measurement system based on the machine vision and vertical displacement of the body, which is measured during the driving process. First, a mathematical model of the body displacement and vehicle load corresponding to the axles is established, and load centroid recognition model is established. Then, roadbed facilities are arranged according to specific requirements, and the identification environment is built. Based on the machine vision technology, the vertical characteristic distance is recognized by the side camera. Finally, the vehicle load value can be obtained by resolve the parameters. Compared with the rated load data in the database, the overload judgment of the vehicle is obtained. The load centroid of the vehicle can also be identified. By filtering the characteristic distance data recognized by the machine vision, the characteristic distance measurement error is effectively reduced. The vehicle experiments were carried out with ISUZU QL5050and Yuejin Shangjun X500. The experimental results verify the effectiveness of the system and can be used to identify overloads and offset loads, the load identification error is less than 20%, and the position of the load centroid is obtained. The result guide the driver to load cargoes reasonably and drive safely. Load value and load centroid position of the heavy-duty vehicles could be also used as the inputs of active safety system, which could improve the adaptability of active safety system to complex conditions.
{"title":"Overload and Load Centroid Recognition Method Based on Vertical Displacement of Body","authors":"Yiran Ding, Daolin Zhou, Zhenyu Wang, Haoyu Wang, Ming Li, Shimin Yu","doi":"10.1109/YAC.2019.8787717","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787717","url":null,"abstract":"The heavy-duty vehicles have large transportation capacity. Load value and load centroid position of the heavy-duty vehicles vary with the cargo mass and the driving condition, which affect driving safety and handling stability. Load value and load centroid position of the vehicles are usually measured on fixed test platform, and the vehicles are stationary or pass the platform slowly in the measurement process. This paper proposes a vehicle load and load centroid measurement system based on the machine vision and vertical displacement of the body, which is measured during the driving process. First, a mathematical model of the body displacement and vehicle load corresponding to the axles is established, and load centroid recognition model is established. Then, roadbed facilities are arranged according to specific requirements, and the identification environment is built. Based on the machine vision technology, the vertical characteristic distance is recognized by the side camera. Finally, the vehicle load value can be obtained by resolve the parameters. Compared with the rated load data in the database, the overload judgment of the vehicle is obtained. The load centroid of the vehicle can also be identified. By filtering the characteristic distance data recognized by the machine vision, the characteristic distance measurement error is effectively reduced. The vehicle experiments were carried out with ISUZU QL5050and Yuejin Shangjun X500. The experimental results verify the effectiveness of the system and can be used to identify overloads and offset loads, the load identification error is less than 20%, and the position of the load centroid is obtained. The result guide the driver to load cargoes reasonably and drive safely. Load value and load centroid position of the heavy-duty vehicles could be also used as the inputs of active safety system, which could improve the adaptability of active safety system to complex conditions.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"37 1","pages":"479-484"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74108248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787725
K. Wu, Chao Zhang, Xiao-pei Wu, De Wu, Xia Niu
In the field of early diagnosis of autism children, the current method is mainly based on doctors' clinical observation and experience with the assistance of some quantitive indexes. In this paper, we propose to use acoustic features of crying sound for the early diagnosis of autistic children. Four acoustic features extraction methods (wavelet decomposition coefficient, DWT-MFCC, MFCC and LPCC) and two machine leaning-based classifiers (SVM, CNN) are applied to the crying sounds of autism children aged 2 to 3 years old. Comparison experiments show that MFCC features with SVM and CNN achieved the highest recognition rate, while DWT-MFCC exhibited the most stable performance in the case of five different SNRs. And it also can be seen from the experiments that the convergence speed of MFCC and DWT-MFCC features with CNN is approximately the same. Our research may ultimately help doctors diagnose autism in young children from a speech signal processing perspective.
{"title":"Research on Acoustic Feature Extraction of Crying for Early Screening of Children with Autism","authors":"K. Wu, Chao Zhang, Xiao-pei Wu, De Wu, Xia Niu","doi":"10.1109/YAC.2019.8787725","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787725","url":null,"abstract":"In the field of early diagnosis of autism children, the current method is mainly based on doctors' clinical observation and experience with the assistance of some quantitive indexes. In this paper, we propose to use acoustic features of crying sound for the early diagnosis of autistic children. Four acoustic features extraction methods (wavelet decomposition coefficient, DWT-MFCC, MFCC and LPCC) and two machine leaning-based classifiers (SVM, CNN) are applied to the crying sounds of autism children aged 2 to 3 years old. Comparison experiments show that MFCC features with SVM and CNN achieved the highest recognition rate, while DWT-MFCC exhibited the most stable performance in the case of five different SNRs. And it also can be seen from the experiments that the convergence speed of MFCC and DWT-MFCC features with CNN is approximately the same. Our research may ultimately help doctors diagnose autism in young children from a speech signal processing perspective.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"106 1","pages":"290-295"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77527251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787618
Yuke Liu, Qingyong Zhang, Lijuan Yu
Aiming at the defects that the basic fruit fly optimization algorithm has low control precision and is easy to fall into local optimum, an adaptive multi-group fruit fly optimization algorithm is proposed. Due to the constant step size, the basic fruit fly algorithm has a lack of convergence efficiency and optimization precision. For this problem, the radius adjustment coefficient is introduced in the search process, so that the search radius decreases with the increase of iterations. In order to avoid the premature phenomenon caused by the lack of population diversity in the search process, the degree of utilization of the whole information during the evolution of the population is improved by simultaneously learning the local optimal individual and the global optimal individual of the subpopulation. At the same time, adding individual variation mechanism to further increase the diversity of the population makes the algorithm jump out of the local optimal solution. The simulation results show that the proposed algorithm has better performance in terms of convergence efficiency and optimization accuracy.
{"title":"Adaptive multi-group fruit fly optimization algorithm","authors":"Yuke Liu, Qingyong Zhang, Lijuan Yu","doi":"10.1109/YAC.2019.8787618","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787618","url":null,"abstract":"Aiming at the defects that the basic fruit fly optimization algorithm has low control precision and is easy to fall into local optimum, an adaptive multi-group fruit fly optimization algorithm is proposed. Due to the constant step size, the basic fruit fly algorithm has a lack of convergence efficiency and optimization precision. For this problem, the radius adjustment coefficient is introduced in the search process, so that the search radius decreases with the increase of iterations. In order to avoid the premature phenomenon caused by the lack of population diversity in the search process, the degree of utilization of the whole information during the evolution of the population is improved by simultaneously learning the local optimal individual and the global optimal individual of the subpopulation. At the same time, adding individual variation mechanism to further increase the diversity of the population makes the algorithm jump out of the local optimal solution. The simulation results show that the proposed algorithm has better performance in terms of convergence efficiency and optimization accuracy.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"36 1","pages":"17-22"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81112370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787633
Y. Zhu, Lin Wu
In the multi-traveling-salesman problem, each salesman must traverse a certain number of cities. The set of these cities is viewed as a unit in this paper. Owing to the shortcomings of the unit structure research in the typical multi-traveling-salesman model, this paper proposes an improved model with quadratic partitioning, which can be applied for the optimization of complex topology structure. Among these complex optimization problems, the structure arrangement of thermoelectric modules is taken as an example. In detail, the equilibrium between terminal voltage and internal resistance is evaluated as the local optimization criterion, and the genetic algorithm is used to solve the problem. The result finally proves that the improved model has excellent applicability by obtaining the high energy conversion of thermoelectric modules.
{"title":"Structure Study of Multiple Traveling Salesman Problem using Genetic Algorithm","authors":"Y. Zhu, Lin Wu","doi":"10.1109/YAC.2019.8787633","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787633","url":null,"abstract":"In the multi-traveling-salesman problem, each salesman must traverse a certain number of cities. The set of these cities is viewed as a unit in this paper. Owing to the shortcomings of the unit structure research in the typical multi-traveling-salesman model, this paper proposes an improved model with quadratic partitioning, which can be applied for the optimization of complex topology structure. Among these complex optimization problems, the structure arrangement of thermoelectric modules is taken as an example. In detail, the equilibrium between terminal voltage and internal resistance is evaluated as the local optimization criterion, and the genetic algorithm is used to solve the problem. The result finally proves that the improved model has excellent applicability by obtaining the high energy conversion of thermoelectric modules.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"93 1","pages":"323-328"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81479617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787706
Jie Qiu, Kun Xu, Wenqian Hu, Ziwu Ren
This paper presents the improved general-weighted least-norm (IGWLN) method to heighten the optimization ability for the control of redundant manipulator. The IGWLN method ameliorates the mapping relationship between the optimization target and virtual joint by modifying the transformation matrix, which guarantees the accuracy of main task while accomplishing the subtask and reduces the computation compared with the original general-weighted least-norm (GWLN) method. A simulation in contrast to the GWLN method on a seven-degree-of-freedom (7 DOF) redundant manipulator demonstrates the advantages of the IGWLN method while following a given trajectory.
{"title":"A Study on the Optimized Solution of Redundant Manipulators Using Improved General-Weighted Least-Norm Method","authors":"Jie Qiu, Kun Xu, Wenqian Hu, Ziwu Ren","doi":"10.1109/YAC.2019.8787706","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787706","url":null,"abstract":"This paper presents the improved general-weighted least-norm (IGWLN) method to heighten the optimization ability for the control of redundant manipulator. The IGWLN method ameliorates the mapping relationship between the optimization target and virtual joint by modifying the transformation matrix, which guarantees the accuracy of main task while accomplishing the subtask and reduces the computation compared with the original general-weighted least-norm (GWLN) method. A simulation in contrast to the GWLN method on a seven-degree-of-freedom (7 DOF) redundant manipulator demonstrates the advantages of the IGWLN method while following a given trajectory.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"10 1","pages":"597-601"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82855272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787727
Yanyan Li, Zhichun Jia, Qiuyang Han, Xing Xing
With the development of computer network technology and the expanding application fields, the types of attacks on the system are becoming more and more complex. The systems security and attack classification are always two challenges for application service providers and enterprises. In recent years, many researchers have turned more attention to them and established evaluation and classifiers that can detect feature selection of network traffic anomalies. However, most research work does not cross-validate evaluation results, and there is no way to distinguish between different types of attacks. All kinds of facts prove that it is necessary to take appropriate countermeasures and defensive attacks. In this paper, we propose a classification framework and use a popular public data set KDD to establish a two-level similarity classification model. According to the attack similarity, our method can quickly and correctly classify the attacks. The experimental results show that our method is effective.
{"title":"A Two-level Classification Method for Attacks on the Network","authors":"Yanyan Li, Zhichun Jia, Qiuyang Han, Xing Xing","doi":"10.1109/YAC.2019.8787727","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787727","url":null,"abstract":"With the development of computer network technology and the expanding application fields, the types of attacks on the system are becoming more and more complex. The systems security and attack classification are always two challenges for application service providers and enterprises. In recent years, many researchers have turned more attention to them and established evaluation and classifiers that can detect feature selection of network traffic anomalies. However, most research work does not cross-validate evaluation results, and there is no way to distinguish between different types of attacks. All kinds of facts prove that it is necessary to take appropriate countermeasures and defensive attacks. In this paper, we propose a classification framework and use a popular public data set KDD to establish a two-level similarity classification model. According to the attack similarity, our method can quickly and correctly classify the attacks. The experimental results show that our method is effective.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"17 1","pages":"274-279"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89007446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-01DOI: 10.1109/YAC.2019.8787611
Wang Wei, Lin Shaohan, Li Kang
In this paper, a laboratory aquaponics system, which is developed to teach undergraduate students at Dalian Ocean University, Liaoning, China, some of the issues regarding aquaponics based on PLC and LabVIEW, is discussed. In this aquaponics system, in order to maintain the ecological balance of water body, Siemens S7-1500 PLC is used to realize data acquisition and automatic control of various sensors and execution devices. LabVIEW programming is used to develop a friendly human-machine interface to realize data display, storage, query and analysis. Finally, the real-time data exchange is completed through OPC communication technology, and the monitoring of the aquaponics system is realized. Experience in using this system in undergraduate teaching indicates that it supports learning of PLC and LabVIEW related courses and it also in line with the marine fisheries characteristics of our school.
{"title":"A Laboratory Aquaponics System via PLC and LabVIEW","authors":"Wang Wei, Lin Shaohan, Li Kang","doi":"10.1109/YAC.2019.8787611","DOIUrl":"https://doi.org/10.1109/YAC.2019.8787611","url":null,"abstract":"In this paper, a laboratory aquaponics system, which is developed to teach undergraduate students at Dalian Ocean University, Liaoning, China, some of the issues regarding aquaponics based on PLC and LabVIEW, is discussed. In this aquaponics system, in order to maintain the ecological balance of water body, Siemens S7-1500 PLC is used to realize data acquisition and automatic control of various sensors and execution devices. LabVIEW programming is used to develop a friendly human-machine interface to realize data display, storage, query and analysis. Finally, the real-time data exchange is completed through OPC communication technology, and the monitoring of the aquaponics system is realized. Experience in using this system in undergraduate teaching indicates that it supports learning of PLC and LabVIEW related courses and it also in line with the marine fisheries characteristics of our school.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"25 1","pages":"547-551"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82248870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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