Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866918457923076096 |
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| author | Ling, Tianheng Qian, Chao Schiele, Gregor |
| author_facet | Ling, Tianheng Qian, Chao Schiele, Gregor |
| contents | Executing flow estimation using Deep Learning (DL)-based soft sensors on resource-limited IoT devices has demonstrated promise in terms of reliability and energy efficiency. However, its application in the field of wastewater flow estimation remains underexplored due to: (1) a lack of available datasets, (2) inconvenient toolchains for on-device AI model development and deployment, and (3) hardware platforms designed for general DL purposes rather than being optimized for energy-efficient soft sensor applications. This study addresses these gaps by proposing an automated, end-to-end solution for wastewater flow estimation using a prototype IoT device. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_05102 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation Ling, Tianheng Qian, Chao Schiele, Gregor Signal Processing Artificial Intelligence Executing flow estimation using Deep Learning (DL)-based soft sensors on resource-limited IoT devices has demonstrated promise in terms of reliability and energy efficiency. However, its application in the field of wastewater flow estimation remains underexplored due to: (1) a lack of available datasets, (2) inconvenient toolchains for on-device AI model development and deployment, and (3) hardware platforms designed for general DL purposes rather than being optimized for energy-efficient soft sensor applications. This study addresses these gaps by proposing an automated, end-to-end solution for wastewater flow estimation using a prototype IoT device. |
| title | Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation |
| topic | Signal Processing Artificial Intelligence |
| url | https://arxiv.org/abs/2407.05102 |