{"title":"利用泄漏噪声相关器模拟泄漏检测的实验室测试台的概念和实现","authors":"V. Faerman, A. Tsavnin","doi":"10.1063/1.5140106","DOIUrl":null,"url":null,"abstract":"Concept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digital Signal Processing” and “Applied Math”. In addition, the presented solution is also applicable for scientific research associated with delay time estimation.Concept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digita...","PeriodicalId":182421,"journal":{"name":"SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Concept and implementation of the laboratory test bench for simulating the case of leak detection with the use of leak-noise correlator\",\"authors\":\"V. Faerman, A. Tsavnin\",\"doi\":\"10.1063/1.5140106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digital Signal Processing” and “Applied Math”. In addition, the presented solution is also applicable for scientific research associated with delay time estimation.Concept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digita...\",\"PeriodicalId\":182421,\"journal\":{\"name\":\"SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/1.5140106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/1.5140106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Concept and implementation of the laboratory test bench for simulating the case of leak detection with the use of leak-noise correlator
Concept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digital Signal Processing” and “Applied Math”. In addition, the presented solution is also applicable for scientific research associated with delay time estimation.Concept of laboratory rig for pipe leaks detections task solution via acoustic control is proposed. Hardware and software implementation stages are described. The laboratory bench consists of two subsystems. The first subsystem provides audio signal real-time playback to simulate the propagated leak noise at two terminal points of pipe line segment. The second subsystem is leak-noise correlator itself. Using piezoelectric accelerometers as sensors it receives acoustic signal and then performs analog-to-digital conversion with further software digital processing. Regarding the hardware implementation, PC is utilized for software signal generation, in particular, Simulink model is used. Raspberry Pi-based device is used for digital signal processing. Since leak location problem can be solved with different digital processing algorithms such as correlation or specter analysis, the presented laboratory rig can be applied for academic purposes. For instance, it can be implemented within courses such as “Digita...