{"title":"用于高效采集植物水分胁迫相关超声发射的压电传感器前端","authors":"D. Oletić, V. Bilas","doi":"10.1109/SENSORS43011.2019.8956671","DOIUrl":null,"url":null,"abstract":"Formation of embolisms in plant’s xylem water transport vessels is considered a major cause of plant mortality due to water-stress. Passive ultrasonic acoustic emissions (AE) monitoring shows the most potential for field-quantification of embolism level. However, this requires designing energy-efficient embedded hardware for autonomous high-speed ultrasonic AE acquisition, processing, and storage. In this paper we present a piezoelectric sensor interface for triggered AE acquisition at 2 MS/s. Its design requirements were assessed by laboratory dehydration experiments on grapevine pot-plants. An embedded prototype was design and characterized. The proposed architecture enables event-based acquisition of AE within 120-550 kHz band, at 5.7 mW average power, and 717 ns wakeup-latency.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"21 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Piezoelectric sensor front-end for energy-efficient acquisition of ultrasonic emissions related to water-stress in plants\",\"authors\":\"D. Oletić, V. Bilas\",\"doi\":\"10.1109/SENSORS43011.2019.8956671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Formation of embolisms in plant’s xylem water transport vessels is considered a major cause of plant mortality due to water-stress. Passive ultrasonic acoustic emissions (AE) monitoring shows the most potential for field-quantification of embolism level. However, this requires designing energy-efficient embedded hardware for autonomous high-speed ultrasonic AE acquisition, processing, and storage. In this paper we present a piezoelectric sensor interface for triggered AE acquisition at 2 MS/s. Its design requirements were assessed by laboratory dehydration experiments on grapevine pot-plants. An embedded prototype was design and characterized. The proposed architecture enables event-based acquisition of AE within 120-550 kHz band, at 5.7 mW average power, and 717 ns wakeup-latency.\",\"PeriodicalId\":6710,\"journal\":{\"name\":\"2019 IEEE SENSORS\",\"volume\":\"21 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE SENSORS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SENSORS43011.2019.8956671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE SENSORS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS43011.2019.8956671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Piezoelectric sensor front-end for energy-efficient acquisition of ultrasonic emissions related to water-stress in plants
Formation of embolisms in plant’s xylem water transport vessels is considered a major cause of plant mortality due to water-stress. Passive ultrasonic acoustic emissions (AE) monitoring shows the most potential for field-quantification of embolism level. However, this requires designing energy-efficient embedded hardware for autonomous high-speed ultrasonic AE acquisition, processing, and storage. In this paper we present a piezoelectric sensor interface for triggered AE acquisition at 2 MS/s. Its design requirements were assessed by laboratory dehydration experiments on grapevine pot-plants. An embedded prototype was design and characterized. The proposed architecture enables event-based acquisition of AE within 120-550 kHz band, at 5.7 mW average power, and 717 ns wakeup-latency.