Aquaculture multi-parameter intelligent monitoring system based on Internet-of-things and method thereof

Abstract

The invention discloses an aquaculture multi-parameter intelligent monitoring system based on Internet-of-things and a method thereof. The system comprises the modules of an acquiring and controllingunit, a communication transmission unit, a data service center, etc. The acquiring and controlling unit comprises a water quality acquiring node, a video monitoring unit, a controller and field equipment. The communication transmission unit utilizes an NB-IoT and ZigBee combined communication mode. The data service center comprises a database server, a communication server and an application server. The monitoring method comprises the steps of 1, setting a water quality parameter standard value according to a culturing animal; 2, performing real-time acquisition of the water quality data by the controller, and eliminating suspicious data by means of a multi-sensor fusion method; 3, uploading the data to the data service center according to a preset data frame format; 4, controlling the field equipment by the controller by means of a threshold; and 5, adjusting the field equipment according to an artificial intelligence algorithm, and realizing intelligent culturing monitoring. The aquaculture multi-parameter intelligent monitoring system and the method thereof have advantages of realizing accurate measuring and controlling in aquaculture, remarkably improving aquaculture benefit and promoting aquaculture development.

Description

technical field [0001] The invention belongs to wireless sensor network technology and artificial intelligence technology, designs an aquaculture multi-parameter intelligent monitoring system and method based on the Internet of Things, and relates to the field of agricultural aquaculture. Background technique [0002] China is the world's largest fishery country, and its aquaculture production accounts for nearly 3 / 4 of the world's total. At present, the rapid development of industrial circulating water fish farming, because of its closed nature, has a stronger dependence on water quality monitoring. Using scientific methods to adjust the water quality conditions of fish farming, combined with efficient and reasonable farming technology, to achieve all-round water quality testing and early warning is crucial to reducing losses caused by water quality and other aspects. [0003] The Internet of Things is more and more widely used in the field of farming. It is an important t...

AI Technical Summary

Problems solved by technology

The invention uses WiFi communication to have shortcomings such as small signal coverage and weak signals; no method is adopted to ensure the reliability of water quality sensor data; the system control is not combined with intelligent algorithms, and the stability, accuracy, and timeliness are poor

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