Pub Date : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095956
M. Nie, Cheng Wang
In recent years, with the rapid development of the economy, road construction has entered the stage of coexistence of construction and conservation. Even road maintenance has become a major aspect of road construction. The government invests a lot of money in road maintenance every year. Therefore, it’s very important to detect cracks on the road surface in order to reduce the cost of maintenance. Aiming at the problems of poor real-time performance and low accuracy of traditional pavement crack detection, and using the advantages of deep learning network in target detection, a method based on yolo v3 for pavement crack detection is designed. The collected pictures are manually marked, and the network model is obtained through yolo v3 network training. Finally, the cracks are detected and verified by the obtained model. The accuracy of crack detection in this work reached 88%, and the crack detection speed was also improved compared with the traditional identification method.
{"title":"Pavement Crack Detection based on yolo v3","authors":"M. Nie, Cheng Wang","doi":"10.1109/IICSPI48186.2019.9095956","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095956","url":null,"abstract":"In recent years, with the rapid development of the economy, road construction has entered the stage of coexistence of construction and conservation. Even road maintenance has become a major aspect of road construction. The government invests a lot of money in road maintenance every year. Therefore, it’s very important to detect cracks on the road surface in order to reduce the cost of maintenance. Aiming at the problems of poor real-time performance and low accuracy of traditional pavement crack detection, and using the advantages of deep learning network in target detection, a method based on yolo v3 for pavement crack detection is designed. The collected pictures are manually marked, and the network model is obtained through yolo v3 network training. Finally, the cracks are detected and verified by the obtained model. The accuracy of crack detection in this work reached 88%, and the crack detection speed was also improved compared with the traditional identification method.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387866","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095880
Lifeng Hui, Fuxiang Wu, Jie Wang, Qiang Zhang
Fully mechanized face is one of the main dust production points in mines. Air duct ventilation is an important measure to reduce dust damage. In order to grasp the dust distribution of the fully mechanized excavation surface under the condition of the indented double air duct, this paper comprehensively uses the field measurement and numerical simulation method to study the migration and deposition law of the fine dust. Firstly, the dispersion of flour dust and the concentration along the road in a mine in Shanxi were measured. Secondly, considering the influence of the comprehensive excavation machine and coal conveyor belt, the high simulation degree collection model of the double-drum comprehensive face was established and solved by FLUENT. Finally, the amount of air distribution in the front and rear air ducts was changed, and the distribution of dust particles, wall sedimentation fraction and dust concentration on the side wall of the sidewalk were obtained under three different conditions. The results show that the number of dust particles along the path decreases with the distance from the head-on distance; the air distribution has a great influence on the migration and deposition of dust, and the dust deposition basically conforms to the bottom wall, the side wall of the pedestrian side, the coal wall of the wind tube, and the roof. The law of decreasing the number of winds is constant. With the same amount of air supply, and the same air distribution of before and after air duct,the concentration of dust along the heading face is relatively low. Auxiliary dust removal facilities should be arranged away from $5 sim 20mathrm{m}$ of the heading face.
{"title":"Numerical Simulation of Dust Migration and Deposition in Fully Mechanized Working Face with Double Air Duct","authors":"Lifeng Hui, Fuxiang Wu, Jie Wang, Qiang Zhang","doi":"10.1109/IICSPI48186.2019.9095880","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095880","url":null,"abstract":"Fully mechanized face is one of the main dust production points in mines. Air duct ventilation is an important measure to reduce dust damage. In order to grasp the dust distribution of the fully mechanized excavation surface under the condition of the indented double air duct, this paper comprehensively uses the field measurement and numerical simulation method to study the migration and deposition law of the fine dust. Firstly, the dispersion of flour dust and the concentration along the road in a mine in Shanxi were measured. Secondly, considering the influence of the comprehensive excavation machine and coal conveyor belt, the high simulation degree collection model of the double-drum comprehensive face was established and solved by FLUENT. Finally, the amount of air distribution in the front and rear air ducts was changed, and the distribution of dust particles, wall sedimentation fraction and dust concentration on the side wall of the sidewalk were obtained under three different conditions. The results show that the number of dust particles along the path decreases with the distance from the head-on distance; the air distribution has a great influence on the migration and deposition of dust, and the dust deposition basically conforms to the bottom wall, the side wall of the pedestrian side, the coal wall of the wind tube, and the roof. The law of decreasing the number of winds is constant. With the same amount of air supply, and the same air distribution of before and after air duct,the concentration of dust along the heading face is relatively low. Auxiliary dust removal facilities should be arranged away from $5 sim 20mathrm{m}$ of the heading face.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127352118","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095931
Xianyu Wu, Junliang Li, Shujun Lang, Xian Zhang, Canghong Shi, Xiaojie Li, Ke Jia, M. Zou
Traditional image inpainting algorithms aim to obtain satisfactory results for the relatively small and regular missing regions. However, the problem of the image with the large and irregular holes has always been challenging. Our work focus is not on filling holes in the corrupted image, but on the more difficult task of semantic repair, which aims to predict the details of the large regions according to the context of surrounding pixels. In this paper, we propose a perceptual generative adversarial network for image generation and inpainting method. In the training stage, VGG pre-trained model is introduced to GAN network to make the generated image have more high-frequency features. This framework can not only synthesize images with perceptual reality but also make a better prediction of the corrupted images by using the encoding of images. The weighted context loss is adopted to repair the missing regions in image inpainting, and the adversarial loss is used to punish the perceptually unrealistic image. Experiments on natural scene data set CelebA show that our proposed method can produce higher quality repair results.
{"title":"Perceptual Generative Adversarial Network for Image Inpainting with Regular and Irregular Patch","authors":"Xianyu Wu, Junliang Li, Shujun Lang, Xian Zhang, Canghong Shi, Xiaojie Li, Ke Jia, M. Zou","doi":"10.1109/IICSPI48186.2019.9095931","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095931","url":null,"abstract":"Traditional image inpainting algorithms aim to obtain satisfactory results for the relatively small and regular missing regions. However, the problem of the image with the large and irregular holes has always been challenging. Our work focus is not on filling holes in the corrupted image, but on the more difficult task of semantic repair, which aims to predict the details of the large regions according to the context of surrounding pixels. In this paper, we propose a perceptual generative adversarial network for image generation and inpainting method. In the training stage, VGG pre-trained model is introduced to GAN network to make the generated image have more high-frequency features. This framework can not only synthesize images with perceptual reality but also make a better prediction of the corrupted images by using the encoding of images. The weighted context loss is adopted to repair the missing regions in image inpainting, and the adversarial loss is used to punish the perceptually unrealistic image. Experiments on natural scene data set CelebA show that our proposed method can produce higher quality repair results.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122169280","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095947
Xusheng Gan, Shuangfeng Li, Jingjuan Sun
To improve the reliability of flight conflict resolution for UAV for safety operation in airspace, ant colony algorithm is introduced to improve the safety for UAV collision advoidance. Firstly, the airspace environment of UAV operation is described, and then path planning of UAV is elaborated, finally safety improvement of ant colony algorithm is given for UAV conflict resolution. Simulation vallidates the effectiveness and feasibility.
{"title":"Safety improvement of Ant Colony Algorithm for UAV Conflict Resolution","authors":"Xusheng Gan, Shuangfeng Li, Jingjuan Sun","doi":"10.1109/IICSPI48186.2019.9095947","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095947","url":null,"abstract":"To improve the reliability of flight conflict resolution for UAV for safety operation in airspace, ant colony algorithm is introduced to improve the safety for UAV collision advoidance. Firstly, the airspace environment of UAV operation is described, and then path planning of UAV is elaborated, finally safety improvement of ant colony algorithm is given for UAV conflict resolution. Simulation vallidates the effectiveness and feasibility.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116641471","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096050
Jiaoying Huang, Yang Cao, Cheng Gao
SiP (System-in-Package) is widely applied in electronic systems, whose complex structure and variable materials result in uncertainty of reliability. In this study, the common failure reasons of SiP devices are introduced and analyzed. In order to find out the weakness of SiP devices, vulnerability analysis is implemented by RET (Reliability Enhancement Testing) simulation with ANSYS Workbench. The SiP device made of components and interconnections is evaluated in the condition of thermal stress. The results show that solder joints and pins are the weaknesses of the SiP device.
{"title":"Vulnerability Analysis of System-in-Package Based on Reliability Enhancement Testing Simulation","authors":"Jiaoying Huang, Yang Cao, Cheng Gao","doi":"10.1109/IICSPI48186.2019.9096050","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096050","url":null,"abstract":"SiP (System-in-Package) is widely applied in electronic systems, whose complex structure and variable materials result in uncertainty of reliability. In this study, the common failure reasons of SiP devices are introduced and analyzed. In order to find out the weakness of SiP devices, vulnerability analysis is implemented by RET (Reliability Enhancement Testing) simulation with ANSYS Workbench. The SiP device made of components and interconnections is evaluated in the condition of thermal stress. The results show that solder joints and pins are the weaknesses of the SiP device.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"2002 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129571772","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095910
Yongkun Zhao, Yuewei He, Baichen Chen, Xin Xue
A whale optimization algorithm based on nonlinear convergence factor and inertial weight is proposed to solve the problem of slow convergence and low convergence accuracy. The improved Logistic chaotic map was first used to initialize the swarm and increase the diversity of the swarm. Then the convergence factor of linear change is improved to a piecewise nonlinear convergence factor. Meanwhile, the nonlinear inertial weight is added to enhance the exploration and development ability of the algorithm. In the end, 7 benchmark functions were selected for testing, and the experiment showed that the improved algorithm had fast convergence speed and high precision.
{"title":"An Improved Whale Swarm Algorithm with Nonlinear Weighting and Convergence Factor","authors":"Yongkun Zhao, Yuewei He, Baichen Chen, Xin Xue","doi":"10.1109/IICSPI48186.2019.9095910","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095910","url":null,"abstract":"A whale optimization algorithm based on nonlinear convergence factor and inertial weight is proposed to solve the problem of slow convergence and low convergence accuracy. The improved Logistic chaotic map was first used to initialize the swarm and increase the diversity of the swarm. Then the convergence factor of linear change is improved to a piecewise nonlinear convergence factor. Meanwhile, the nonlinear inertial weight is added to enhance the exploration and development ability of the algorithm. In the end, 7 benchmark functions were selected for testing, and the experiment showed that the improved algorithm had fast convergence speed and high precision.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129585720","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095954
Xi Wu, Xianjing Lv, Changhao Zhou
Aiming to the human-machine environment adaptability evaluation indicators are qualitative indicators in the process of equipment operational tests, which is difficult to evaluate effectively. This paper applies satisfaction calculation model and gives assessment flow of human-machine environment adaptability. Finally, the application process of this method is explained through an example, the research result provides a practical and effective assessment method for the equipment human-machine environment adaptability during operational tests.
{"title":"Research on Evaluation Method of Equipment Human-machine Environment Adaptability based on Satisfaction Calculation","authors":"Xi Wu, Xianjing Lv, Changhao Zhou","doi":"10.1109/IICSPI48186.2019.9095954","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095954","url":null,"abstract":"Aiming to the human-machine environment adaptability evaluation indicators are qualitative indicators in the process of equipment operational tests, which is difficult to evaluate effectively. This paper applies satisfaction calculation model and gives assessment flow of human-machine environment adaptability. Finally, the application process of this method is explained through an example, the research result provides a practical and effective assessment method for the equipment human-machine environment adaptability during operational tests.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658697","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9096046
Yonggang Zou, Peipei Wang, Q. Tang, Yichang Sun
In recent years, due to the continuous expansion of the power industry, the acceleration of high-tech update and the rapid improvement of automation level, making the operation and maintenance of the power system increasingly complicated. In order to ensure the operation safety of electric power operators, it is necessary to improve their safety awareness, professional knowledge, operation level and strain capacity. By simulating the operating environment of the power industry, operators conduct safe simulation training and emergency drills, which is very important for the safe and stable operation of the power system. This paper proposes a motion capture system based on HTC Vive, which mainly describes the application of virtual reality technology and motion capture technology in security emergency drills to realize the synchronization of human motion in reality and the motion of human model in virtual reality scene, so as to achieve a more realistic of electric power operation scene. The design of this system aims to solve the problems of low efficiency, high cost, limited movement and high environmental requirements of motion capture technology in the current virtual reality scene.
{"title":"Design of Motion Capture System Based on Virtual Reality Scene","authors":"Yonggang Zou, Peipei Wang, Q. Tang, Yichang Sun","doi":"10.1109/IICSPI48186.2019.9096046","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096046","url":null,"abstract":"In recent years, due to the continuous expansion of the power industry, the acceleration of high-tech update and the rapid improvement of automation level, making the operation and maintenance of the power system increasingly complicated. In order to ensure the operation safety of electric power operators, it is necessary to improve their safety awareness, professional knowledge, operation level and strain capacity. By simulating the operating environment of the power industry, operators conduct safe simulation training and emergency drills, which is very important for the safe and stable operation of the power system. This paper proposes a motion capture system based on HTC Vive, which mainly describes the application of virtual reality technology and motion capture technology in security emergency drills to realize the synchronization of human motion in reality and the motion of human model in virtual reality scene, so as to achieve a more realistic of electric power operation scene. The design of this system aims to solve the problems of low efficiency, high cost, limited movement and high environmental requirements of motion capture technology in the current virtual reality scene.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128971204","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095951
Lu Peng, Zhou Xin, Gan Ping
As one of the main research directions in the field of identity recognition, face recognition plays an important role in fast and accurate applications. Today's face recognition technology has greatly improved the speed and precision under the support of deep learning algorithms, but it relies more on the huge processing. In the conventional mode, the high-definition picture needs to be transmitted back to the PC for processing, but the low-capacity, low-bandwidth, low-processor scene face recognition problem is not solved. Considering such extreme applications, we combine embedded FPGA technology with low-power narrow-band communication NB-IOT module [1] to form a narrow-bandwidth application framework. Using the DNN (Deep Neural Network) based with graphic FPGA programming, the front face recognition of the DeepFace model and the extraction of the 7-layer DNN convolution result are performed on the Zynq FPGA chip of sbRIO [2].Then through the remote transmission of NB-IOT, the classification data is sent back to the local server for comparison through the CoAP protocol [5] of the IOT operator, and the face recognition task can be completed.
{"title":"Design and Implementation of Remote DeepFace Model Face Recognition System Based on sbRIO FPGA Platform and NB-IOT Module","authors":"Lu Peng, Zhou Xin, Gan Ping","doi":"10.1109/IICSPI48186.2019.9095951","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095951","url":null,"abstract":"As one of the main research directions in the field of identity recognition, face recognition plays an important role in fast and accurate applications. Today's face recognition technology has greatly improved the speed and precision under the support of deep learning algorithms, but it relies more on the huge processing. In the conventional mode, the high-definition picture needs to be transmitted back to the PC for processing, but the low-capacity, low-bandwidth, low-processor scene face recognition problem is not solved. Considering such extreme applications, we combine embedded FPGA technology with low-power narrow-band communication NB-IOT module [1] to form a narrow-bandwidth application framework. Using the DNN (Deep Neural Network) based with graphic FPGA programming, the front face recognition of the DeepFace model and the extraction of the 7-layer DNN convolution result are performed on the Zynq FPGA chip of sbRIO [2].Then through the remote transmission of NB-IOT, the classification data is sent back to the local server for comparison through the CoAP protocol [5] of the IOT operator, and the face recognition task can be completed.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129058947","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 : 2019-11-01DOI: 10.1109/IICSPI48186.2019.9095950
Yankai Xu
The system uses STC89C52 single-chip microcomputer as the core control chip to realize the function of measuring small flow by ultrasonic, combined with the minimum system of single-chip microcomputer, liquid crystal display, ultrasonic measuring displacement module, button module and buzzer alarm circuit. The liquid crystal display of the meter displays functions such as instantaneous flow rate, instantaneous flow rate, and flow rate over-limit alarm. At the same time, the H of the liquid level change height difference value, the T of the liquid level height difference change time and the S of the button setting container bottom area value are displayed. Though a simple and intelligent operation process, the design accurately and quickly obtains traffic data information, which not only greatly improves the working efficiency of detecting traffic but also reduces the working intensity.
{"title":"Development of Ultrasonic Small Flow Measuring Instrument Based on STC89C52","authors":"Yankai Xu","doi":"10.1109/IICSPI48186.2019.9095950","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095950","url":null,"abstract":"The system uses STC89C52 single-chip microcomputer as the core control chip to realize the function of measuring small flow by ultrasonic, combined with the minimum system of single-chip microcomputer, liquid crystal display, ultrasonic measuring displacement module, button module and buzzer alarm circuit. The liquid crystal display of the meter displays functions such as instantaneous flow rate, instantaneous flow rate, and flow rate over-limit alarm. At the same time, the H of the liquid level change height difference value, the T of the liquid level height difference change time and the S of the button setting container bottom area value are displayed. Though a simple and intelligent operation process, the design accurately and quickly obtains traffic data information, which not only greatly improves the working efficiency of detecting traffic but also reduces the working intensity.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091557","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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