Based on the background of intelligent traffic operation and maintenance of urban bridge-tunnel clusters, this paper studies the key technology application of BIM technology, including digital technology of urban bridges-tunnel facilities, analysis and coding technology of component-level for bridge-tunnel, multi-service synergistic technology such as inspection, monitoring, and maintenance, multiple data fusion technology of static, semi-static, dynamic real-time, as well as key technologies such as data integration and visualization interaction. Taking the urban bridge-tunnel clusters traffic engineering in Chongqing as an application case, the engineering application of the research results is introduced.
{"title":"Key technology application research for intelligent operation and maintenance of urban bridge-tunnel clusters traffic based on BIM","authors":"Dasheng Liu, Peng Zhang, Lijun Gao, Xunan Liu, Ying Gu","doi":"10.1117/12.2658831","DOIUrl":"https://doi.org/10.1117/12.2658831","url":null,"abstract":"Based on the background of intelligent traffic operation and maintenance of urban bridge-tunnel clusters, this paper studies the key technology application of BIM technology, including digital technology of urban bridges-tunnel facilities, analysis and coding technology of component-level for bridge-tunnel, multi-service synergistic technology such as inspection, monitoring, and maintenance, multiple data fusion technology of static, semi-static, dynamic real-time, as well as key technologies such as data integration and visualization interaction. Taking the urban bridge-tunnel clusters traffic engineering in Chongqing as an application case, the engineering application of the research results is introduced.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125482238","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}
Lingzi Wang, R. Jiang, Xiaowan Chen, Jiancang Xie, Xinyi Liu, Linqian Tian, Miao Wang
With the comprehensively promoting the development of digital twins for large rivers and lakes on a national scale, the construction of a digital twin Weihe River Bain (WRB) has been given high priority. At present, WRB is generally still in the initial stages of smart water construction. The digital twin WRB is being built to address its problems in terms of information, intelligence and digitization. The overall framework of the digital twin Weihe River Basin consists of a digital twin platform and an information infrastructure. The data base is used as the data construction support to supplement and generate the refined L2 data base of the WRB based on the national L1 data base. The professional model as the core of the algorithm provides physical mechanisms and data-driven models. The knowledge base is the driver for intelligent construction to broaden the data dimension of the digital twin WRB. The research has been designed to digitally map and intelligently simulate the entire physical elements of the smart WRB and the entire process of intelligent water management. The results have been applied in the construction of the digital twin based smart WRB. It can provide a reference for further improvement and development of digital twin river basin construction, which also provide ideas for a new phase of smart water development in the Wei River.
{"title":"Design and application of digital twin platform based smart Weihe River Basin","authors":"Lingzi Wang, R. Jiang, Xiaowan Chen, Jiancang Xie, Xinyi Liu, Linqian Tian, Miao Wang","doi":"10.1117/12.2658268","DOIUrl":"https://doi.org/10.1117/12.2658268","url":null,"abstract":"With the comprehensively promoting the development of digital twins for large rivers and lakes on a national scale, the construction of a digital twin Weihe River Bain (WRB) has been given high priority. At present, WRB is generally still in the initial stages of smart water construction. The digital twin WRB is being built to address its problems in terms of information, intelligence and digitization. The overall framework of the digital twin Weihe River Basin consists of a digital twin platform and an information infrastructure. The data base is used as the data construction support to supplement and generate the refined L2 data base of the WRB based on the national L1 data base. The professional model as the core of the algorithm provides physical mechanisms and data-driven models. The knowledge base is the driver for intelligent construction to broaden the data dimension of the digital twin WRB. The research has been designed to digitally map and intelligently simulate the entire physical elements of the smart WRB and the entire process of intelligent water management. The results have been applied in the construction of the digital twin based smart WRB. It can provide a reference for further improvement and development of digital twin river basin construction, which also provide ideas for a new phase of smart water development in the Wei River.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"694 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126868305","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 improve the vehicle loading rate in the logistics and distribution process, this paper studies the vehicle routing problem with time window and simultaneous delivery and pickup under fuzzy demand. Triangle fuzzy numbers are introduced to describe the uncertainty of customer demand and construct a multi-objective function model with the goal of minimum total cost. Genetic algorithm (GA) is used to solve this problem. Compared with the simple delivery scheme and simple pickup scheme, the results show that the designed model and algorithm optimize the vehicle path and significantly reduce the number of vehicles, improve the average vehicle load rate and reduce the enterprise cost.
{"title":"Vehicle path optimization with time window and simultaneous delivery and pickup under fuzzy demand","authors":"Lei Zhou, Chenyang Zhang, Fachao Li","doi":"10.1117/12.2658644","DOIUrl":"https://doi.org/10.1117/12.2658644","url":null,"abstract":"In order to improve the vehicle loading rate in the logistics and distribution process, this paper studies the vehicle routing problem with time window and simultaneous delivery and pickup under fuzzy demand. Triangle fuzzy numbers are introduced to describe the uncertainty of customer demand and construct a multi-objective function model with the goal of minimum total cost. Genetic algorithm (GA) is used to solve this problem. Compared with the simple delivery scheme and simple pickup scheme, the results show that the designed model and algorithm optimize the vehicle path and significantly reduce the number of vehicles, improve the average vehicle load rate and reduce the enterprise cost.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126812450","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}
With the expansion of industrial manufacturing, a single motor is difficult to meet the needs of production, synchronous operation mode of multiple motors has been widely used in industry and production. This article takes four permanent magnet synchronous motors as the research object and adopts SVPWM control technology as the inner loop to achieve steady-state operation of every motor. The outer loop adopts conventional PI controller and sliding mode controller (SMC) to realize synchronous operation of four motors respectively. Based on the Matlab/Simulink platform the simulation model of the synchronous motor control system is designed. The deviation coupling synchronization control strategy of four motors under different speed outer loop control modes is studied. Through the load torque mutation experiments, the anti-disturbance ability and rapidity of the two controllers are compared. Simulation experiment results show that the multi-motor synchronous control system based on sliding mode controller still has good speed tracking performance under large load torque sudden changes.
{"title":"Modeling and simulation of multi-motor synchronous control system based on slide mode controller","authors":"Jianjun Jiang, Jiaqi Ren, Xiong Gao, Haoyi Bian, Yaocai Wu, Zijian Lou","doi":"10.1117/12.2657903","DOIUrl":"https://doi.org/10.1117/12.2657903","url":null,"abstract":"With the expansion of industrial manufacturing, a single motor is difficult to meet the needs of production, synchronous operation mode of multiple motors has been widely used in industry and production. This article takes four permanent magnet synchronous motors as the research object and adopts SVPWM control technology as the inner loop to achieve steady-state operation of every motor. The outer loop adopts conventional PI controller and sliding mode controller (SMC) to realize synchronous operation of four motors respectively. Based on the Matlab/Simulink platform the simulation model of the synchronous motor control system is designed. The deviation coupling synchronization control strategy of four motors under different speed outer loop control modes is studied. Through the load torque mutation experiments, the anti-disturbance ability and rapidity of the two controllers are compared. Simulation experiment results show that the multi-motor synchronous control system based on sliding mode controller still has good speed tracking performance under large load torque sudden changes.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"671 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116102745","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}
Under the background of increasing car ownership and frequent traffic accidents, this paper focuses on fatigue driving, an important cause of traffic accidents, and mainly discusses the detection method of driver fatigue driving. This paper first sorts out the traditional subjective and objective detection indicators and judgment standards for fatigue driving, analyzes the advantages and disadvantages of the traditional detection methods, and lists the commonly used public data sets; At the same time, this paper further summarizes the commonly used driver facial feature recognition and extraction methods, list new fatigue driving detection methods based on machine learning and deep learning to improve the shortcomings of traditional detection and improve detection accuracy, and finally summarize and prospect the fatigue driving detection technology. The research believes that fatigue driving detection methods based on deep learning are the general trend, which can achieve high-precision, real-time and fast fatigue detection.
{"title":"Research on fatigue driving detection methods","authors":"Gemeng Qin, Jingsheng Wang","doi":"10.1117/12.2658140","DOIUrl":"https://doi.org/10.1117/12.2658140","url":null,"abstract":"Under the background of increasing car ownership and frequent traffic accidents, this paper focuses on fatigue driving, an important cause of traffic accidents, and mainly discusses the detection method of driver fatigue driving. This paper first sorts out the traditional subjective and objective detection indicators and judgment standards for fatigue driving, analyzes the advantages and disadvantages of the traditional detection methods, and lists the commonly used public data sets; At the same time, this paper further summarizes the commonly used driver facial feature recognition and extraction methods, list new fatigue driving detection methods based on machine learning and deep learning to improve the shortcomings of traditional detection and improve detection accuracy, and finally summarize and prospect the fatigue driving detection technology. The research believes that fatigue driving detection methods based on deep learning are the general trend, which can achieve high-precision, real-time and fast fatigue detection.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104649","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}
Establishing and improving the emergency management system is an important task in the construction of new smart city. The assessment of emergency preparedness capability can obtain the basic information of urban emergency management and control project, which is very important to the safety of smart city. This study investigates the assessment of urban emergency preparedness capability in Jiangsu Province, China. The Analytic Hierarchy Process method is used to determine the weights of various indicators in the emergency preparedness capability assessment. The analysis results are compared with the actual survey results, and the problems faced by the current work are studied. Through this study, it can be found that Analytic Hierarchy Process can well analyze the work of emergency preparedness capacity, put forward the countermeasures of emergency preparedness capacity, and lay the foundation for urban intelligent emergency.
{"title":"Research on urban emergency preparedness capability assessment based on supporting the safe development of smart city","authors":"Yan Chen, Xin Li","doi":"10.1117/12.2658615","DOIUrl":"https://doi.org/10.1117/12.2658615","url":null,"abstract":"Establishing and improving the emergency management system is an important task in the construction of new smart city. The assessment of emergency preparedness capability can obtain the basic information of urban emergency management and control project, which is very important to the safety of smart city. This study investigates the assessment of urban emergency preparedness capability in Jiangsu Province, China. The Analytic Hierarchy Process method is used to determine the weights of various indicators in the emergency preparedness capability assessment. The analysis results are compared with the actual survey results, and the problems faced by the current work are studied. Through this study, it can be found that Analytic Hierarchy Process can well analyze the work of emergency preparedness capacity, put forward the countermeasures of emergency preparedness capacity, and lay the foundation for urban intelligent emergency.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132815133","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 operation of the regional logistics network is often interrupted by emergencies such as rainstorms and earthquakes, especially the COVID-19 pandemic in recent years. Therefore, it is particularly important to improve the toughness of the regional logistics network to resist the risk of emergencies. This paper firstly constructed a multi-layered weighted regional logistics network of highways and railways in the central region of China based on the gravity model, analyzed its network structure characteristics by using dominant flow and social network analysis methods, then simulated the evolution trend of network toughness under different strategies. Finally, the optimization model of logistics network structural toughness under fixed cost was proposed to explore the optimization path of network structural toughness. The results show that: (1) The economically developed cities are located in the core area of the regional logistics network, on the contrary, they are located in the edge area of the regional logistics network. (2) The network as a whole has formed a “two main and four auxiliary” distribution pattern with Zhengzhou and Wuhan as the two main cores in the north and south, and Taiyuan, Hefei, Changsha, and Nanchang as the four auxiliary cores. (3) The network has higher toughness under the node random order failure strategy than under the node specified order failure strategy, and the optimization plans improve the structural toughness of the regional logistics network by 11.68%.
{"title":"Structure and toughness optimization of multi-layer weighted regional logistics network: taking the central region of China as an example","authors":"Zhaolei Li, Kun-Hsing Liu, Gaojie Wang, Yeye Yin","doi":"10.1117/12.2657977","DOIUrl":"https://doi.org/10.1117/12.2657977","url":null,"abstract":"The operation of the regional logistics network is often interrupted by emergencies such as rainstorms and earthquakes, especially the COVID-19 pandemic in recent years. Therefore, it is particularly important to improve the toughness of the regional logistics network to resist the risk of emergencies. This paper firstly constructed a multi-layered weighted regional logistics network of highways and railways in the central region of China based on the gravity model, analyzed its network structure characteristics by using dominant flow and social network analysis methods, then simulated the evolution trend of network toughness under different strategies. Finally, the optimization model of logistics network structural toughness under fixed cost was proposed to explore the optimization path of network structural toughness. The results show that: (1) The economically developed cities are located in the core area of the regional logistics network, on the contrary, they are located in the edge area of the regional logistics network. (2) The network as a whole has formed a “two main and four auxiliary” distribution pattern with Zhengzhou and Wuhan as the two main cores in the north and south, and Taiyuan, Hefei, Changsha, and Nanchang as the four auxiliary cores. (3) The network has higher toughness under the node random order failure strategy than under the node specified order failure strategy, and the optimization plans improve the structural toughness of the regional logistics network by 11.68%.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133612948","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}
Pavement cracks are one of the manifestations of early road defects, which affect the safety and performance of roads. However, shadow, illumination, and other environmental factors will affect the detection performance of the algorithm, resulting in the reduction of the detection effect. This paper presents a multimodal image transformation technology to reduce the interference of shadows on crack detection. In this method, multidimensional features of infrared and visual images are obtained and registered by the multiscale registration method. Next, the Cycle-Gan model is used to learn the feature mapping relationship between infrared and visual images, and image transformation is carried out. Finally, the pre-trained U-net model is used to detect the processed image. The proposed method can effectively reduce the image's shadow area without destroying the pavement's crack structure and improve the detection performance compared with threshold-based image processing and deep learning-based DSC algorithm. In addition, its MIOU, MPA, Recall, and F1 score reach the highest of 0.7869, 0.93295, 0.7092, and 0.7870, respectively, which can provide new ideas for health detection of pavement cracks under shadow interference.
{"title":"Using the multimodal image transformation method for crack detection in the presence of shadow","authors":"Pengfei Yong","doi":"10.1117/12.2658648","DOIUrl":"https://doi.org/10.1117/12.2658648","url":null,"abstract":"Pavement cracks are one of the manifestations of early road defects, which affect the safety and performance of roads. However, shadow, illumination, and other environmental factors will affect the detection performance of the algorithm, resulting in the reduction of the detection effect. This paper presents a multimodal image transformation technology to reduce the interference of shadows on crack detection. In this method, multidimensional features of infrared and visual images are obtained and registered by the multiscale registration method. Next, the Cycle-Gan model is used to learn the feature mapping relationship between infrared and visual images, and image transformation is carried out. Finally, the pre-trained U-net model is used to detect the processed image. The proposed method can effectively reduce the image's shadow area without destroying the pavement's crack structure and improve the detection performance compared with threshold-based image processing and deep learning-based DSC algorithm. In addition, its MIOU, MPA, Recall, and F1 score reach the highest of 0.7869, 0.93295, 0.7092, and 0.7870, respectively, which can provide new ideas for health detection of pavement cracks under shadow interference.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995394","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}
Sihao Chen, Wanqing Zhu, Xianyi Yang, Menghan Li, Heng Wang
Garbage classification treatment is an indispensable part of national ecological civilization construction and its effective implementation is greatly affected by the efficiency of the urban domestic garbage collection system. In view of the vehicle routing optimization problem with vehicle capacity constraints and time window constraints, the genetic algorithm is used to solve and optimize the established model. The best collection and transportation paths of four kinds of urban domestic garbage are obtained, which significantly shortens the distance of collection and transportation paths. The effectiveness of the algorithm is verified, which provides ideas for improving the efficiency of urban domestic garbage classification, collection and transportation scheduling
{"title":"Urban domestic garbage collection and transportation scheduling under the background of garbage classification","authors":"Sihao Chen, Wanqing Zhu, Xianyi Yang, Menghan Li, Heng Wang","doi":"10.1117/12.2657922","DOIUrl":"https://doi.org/10.1117/12.2657922","url":null,"abstract":"Garbage classification treatment is an indispensable part of national ecological civilization construction and its effective implementation is greatly affected by the efficiency of the urban domestic garbage collection system. In view of the vehicle routing optimization problem with vehicle capacity constraints and time window constraints, the genetic algorithm is used to solve and optimize the established model. The best collection and transportation paths of four kinds of urban domestic garbage are obtained, which significantly shortens the distance of collection and transportation paths. The effectiveness of the algorithm is verified, which provides ideas for improving the efficiency of urban domestic garbage classification, collection and transportation scheduling","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115455696","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}
Building intelligence has become a new requirement for the development of the construction industry in the Internet era, and the use of traditional engineering cost models for complex and huge construction projects will produce results with large data errors and inaccurate calculation results. Based on this, this paper analyzes the application status of BIM technology in engineering cost management at home and abroad, summarizes the advantages of BIM technology in the process of large-scale project cost, based on this, this paper improves the traditional construction project cost model, uses the principal component analysis method to establish a large-scale construction project valuation model, gradually reduces the external interference factors, reasonably quantifies the measurement standards, and constructs a large-scale building cost estimation model system centered on BIM. By comparing with the actual data, the experimental results show that the model is more accurate in the estimation of the project cost of large-scale projects, and the new model has certain practical significance for the study of the engineering cost of large-scale construction projects.
{"title":"Estimation model based on BIM technology in large-scale project construction costs","authors":"Li Ma","doi":"10.1117/12.2658176","DOIUrl":"https://doi.org/10.1117/12.2658176","url":null,"abstract":"Building intelligence has become a new requirement for the development of the construction industry in the Internet era, and the use of traditional engineering cost models for complex and huge construction projects will produce results with large data errors and inaccurate calculation results. Based on this, this paper analyzes the application status of BIM technology in engineering cost management at home and abroad, summarizes the advantages of BIM technology in the process of large-scale project cost, based on this, this paper improves the traditional construction project cost model, uses the principal component analysis method to establish a large-scale construction project valuation model, gradually reduces the external interference factors, reasonably quantifies the measurement standards, and constructs a large-scale building cost estimation model system centered on BIM. By comparing with the actual data, the experimental results show that the model is more accurate in the estimation of the project cost of large-scale projects, and the new model has certain practical significance for the study of the engineering cost of large-scale construction projects.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130020583","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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