Aquaculture system based on internet of things

Abstract

The invention discloses an aquaculture system based on the internet of things. The aquaculture system structurally comprises a satellite detector, the satellite detector comprises a server and an intelligent gateway, the server is connected with the satellite detector, and the intelligent gateway is connected with the satellite detector; the intelligent gateway comprises an environment collector and a remote controller, an environment detector is connected with the intelligent gateway, and the remote controller is connected with the intelligent gateway; the environment collector comprises a dissolution sensor, a PH value sensor, a temperature sensor and a water level sensor. Aiming at the features of the diversity, variability, remote dispersion and the like of an aquaculture environment object, the systematic scheme of remote data collection and information distributing of a measurement and control technology can save a large amount of artificial operation and power consumption for auser, the loss caused due to fish diseases is avoided, the death rate is reduced, and through long-term continuous monitoring, adjusting and controlling of water quality, the aquaculture yield can beobviously increased.

Description

technical field [0001] The invention relates to the technical field of aquaculture system, in particular to an aquaculture system based on the Internet of Things. Background technique [0002] The key parameters affecting the aquaculture environment are water temperature, light, dissolved oxygen and pH value, etc., but these key factors are invisible and intangible, and it is difficult to accurately grasp them. The existing aquaculture management is guided by farming experience, which is a common farming rule. It is difficult to be accurate and reliable, and it is difficult to guarantee the output. Moreover, fish are prone to high mortality due to diseases. Contents of the invention [0003] The technical problem to be solved by the present invention is to overcome the defects of the prior art, provide an aquaculture system based on the Internet of Things, aiming at the characteristics of diversity, changeability, and remoteness and dispersion of aquaculture environment ob...

AI Technical Summary

Problems solved by technology

[0002] The key parameters affecting the aquaculture environment are water temperature, light, dissolved oxygen and pH value, etc., but these key factors are invisible and intangible, and it is difficult to accurately grasp them

The existing aquaculture management is guided by breeding experience, which is a common farming rule. It is difficult to be accurate and reliable, and the output is difficult to be guaranteed. Moreover, fish are prone to high mortality due to diseases.

Images