The Design of an Intelligent Aquarium Management System
Abstract
The comprehensive intelligent aquarium management system designed and implemented in this paper meets the diverse needs of
aquarium management. The system includes functions such as automatic water change, temperature control, automatic water replenishment,
light adjustment, timed feeding, oxygen supply, manual control, data display, and remote monitoring, providing users with comprehensive and
convenient management capabilities. Through intelligent control strategies and a WIFI module, the system achieves comprehensive monitoring and precise control of the aquarium environment, allowing users to remotely monitor and control via a smartphone application at any time.
Strict experimental verification ensures the stability and reliability of the system, meeting the practical needs and application scenarios of
aquarium farming.
aquarium management. The system includes functions such as automatic water change, temperature control, automatic water replenishment,
light adjustment, timed feeding, oxygen supply, manual control, data display, and remote monitoring, providing users with comprehensive and
convenient management capabilities. Through intelligent control strategies and a WIFI module, the system achieves comprehensive monitoring and precise control of the aquarium environment, allowing users to remotely monitor and control via a smartphone application at any time.
Strict experimental verification ensures the stability and reliability of the system, meeting the practical needs and application scenarios of
aquarium farming.
Keywords
Aquarium; STM32; Sensor
Full Text:
PDFReferences
[1] Zhao ZJ. Design and Implementation of Remote Controllable and Communicable Aquarium Based on Internet of Things [D]. Hebei North College, 2017: 1-6.
[2] Zhao FQ, Zhang CX, Liu Q (Eds). New Technologies in Ornamental Fish Farming. Beijing: China Social Sciences Press, 2005: 3-7.
[3] Zhang FP. Design of Intelligent Aquarium Remote Monitoring System [D]. Southwest Jiaotong University, 2018: 1-5.
[4] Ding JY. Interaction Design Research of Smart Home Aquarium System Based on CUBI User Experience Model [D]. Shandong University, 2018.
[5] Yang TT. Design on Educational Administration Management System based on SSH Framework [J]. Volga Archaeology, 2019, 30(4).
Refbacks
- There are currently no refbacks.
