NB-IoT fishpond water quality real-time monitoring system and monitoring method

Abstract

The invention relates to an NB-IoT fishpond water quality real-time monitoring system and monitoring method. The system comprises a main control MCU, a dissolved oxygen detector, a pH detector, a turbidity detector, an NB-IoT wireless transmission chip and a GPS positioning chip. The GPS positioning chip, the dissolved oxygen detector, the pH detector, the turbidity detector and the main control MCU communicate with one another through serial ports. The NB-IoT wireless transmission chip communicates with the main control MCU through an SPI. The system further comprises a solar cell panel, a storage battery and a transformer. The solar cell panel converts sunlight into electric energy, the electric energy is stored in the storage battery through the transformer, and the storage battery serves as a power supply of the NB-IoT fishpond water quality real-time monitoring system. The NB-IoT fishpond water quality real-time monitoring system provided by the invention has a GPS positioning function, utilizes the solar cell panel to supply power, facilitates multi-point deployment and multi-point detection and monitoring in a large-area fish farm, is efficient and convenient, and is suitable for large-scale and industrial fishery use.

Description

technical field [0001] The invention belongs to the technical field of water environment monitoring, and more specifically relates to an NB-IoT fish pond water quality real-time monitoring system. Background technique [0002] Water is the basic condition for fish to survive. Good water quality can promote the growth and development of fish, while poor water quality will affect its growth and even bring various diseases. Water quality detection of aquaculture water can provide scientific basis for rational selection of aquaculture types, monitoring of production process and improvement of water quality environment, and it is also an important prerequisite for aquaculture water quality evaluation, prediction and effective development and utilization of water resources. With the advancement of science and technology, the fishery and aquaculture industry is gradually developing in the direction of scale and industrialization. Large-scale fish ponds are generally composed of mul...

AI Technical Summary

Problems solved by technology

The traditional water quality detection method is mainly manual sampling and analysis. This method has low sampling frequency and high labor intensity, which cannot realize real-time monitoring and cannot reflect the continuous dynamic changes of water quality.

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