Remote sensing detection and resource utilisation of urban sewage sludge based on mobile edge computing

• Autorzy: Hu Weijie , Zhou Youfei , Lu Junying , Sheng Jun , Jin Zechen

Identyfikatory

DOI

10.2478/eces-2023-0029

• Języki publikacji: EN

Abstrakty

EN

Improper disposal of municipal sewage sludge poses a significant threat to effective environmental protection. With the continuous advancement of artificial intelligence technology and the Internet of Things (IoT), remote sensing detection technology is emerging as a promising research avenue to address this issue. However, the current state of real-time detection technology is inadequate, hindering comprehensive and stable monitoring operation. Additionally, the rational use of network resources remains suboptimal. To address this challenge, this study proposes a resource optimisation technology for the current insufficient intelligent monitoring system of urban sewage sludge. By leveraging IoT and wireless technology, water meter data can be collected with minimal earth construction compared to traditional PLC collection. This is followed by utilising Faster R-CNN to plan the network transmission of sewage remote sensing information resources. Finally, the architecture collection module’s scalability is enhanced by incorporating edge computing and reserving sensor ports to meet future plant expansion demands. The experiment demonstrates the significant potential of this technology in application and resource optimisation. In actual parameter tracking tests, the proposed method effectively monitors sewage sludge, providing policy guidance and measure optimisation for relevant authorities, ultimately contributing to pollution-free urban development.

Słowa kluczowe

EN

wastewater; edge computing; faster R-CNN; resourceful management

PL

ścieki; przetwarzanie brzegowe; Faster R-CNN; zarządzanie zasobami

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Ecological Chemistry and Engineering. S
• Rocznik: 2023
• Tom: Vol. 30, nr 2
• Strony: 275--282
• Opis fizyczny: Bibliogr. 15 poz., tab., wykr.

Twórcy

autor

Hu Weijie

• Design Institute No. 3, Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China

• https://orcid.org/0009-0001-9726-3389

autor

Zhou Youfei

• Design Institute No. 3, Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China

• https://orcid.org/0009-0000-8034-5129

autor

Lu Junying

• Design Institute No. 3, Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China

• https://orcid.org/0009-0000-4622-7524

autor

Sheng Jun

• Design Institute No. 3, Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China

• https://orcid.org/0009-0006-5641-0924

autor

Jin Zechen

• Design Institute No. 3, Shanghai Municipal Engineering Design and Research Institute (Group) Co., Ltd., Shanghai 200092, China

• https://orcid.org/0009-0008-5904-7918

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).