On-line water quality monitoring and response system for culturing of intertidal shellfish

Abstract

The invention provides an on-line water quality monitoring and response system for culturing of intertidal shellfish. The system comprises an on-line monitoring apparatus, which comprises a solar power supply module, a sensor module and a WiFi communication module, wherein the sensor module comprises a water temperature sensor, a dissolved oxygen sensor, a pH value sensor and a salinity sensor; an information server and a database thereof, wherein the information server is connected with a wireless receiver in wireless communication with the WiFi communication module and used for automatic acquisition and remote access to real-time dynamic data from the on-line monitoring apparatus, and the database is connected with a PC terminal and a mobile intelligent terminal through the Internet and 3G / GPS; and an aerator and a controlling apparatus thereof, wherein the controlling apparatus is connected with the information server, and when the value of dissolved oxygen is less than values in a normal range, the information server sends an instruction to drive the controlling apparatus so as to actuate the controlling apparatus to drive the aerator for oxygenation. The system provided by the invention can automatically adjust and control water quality and dissolved oxygen, reduce artificial participation and meets needs of large-scale aquaculture.

Description

technical field [0001] The invention relates to an online monitoring and response system for the water quality of tidal flat shellfish pond culture. Background technique [0002] In the prior art, when tidal flat shellfish are cultured in ponds, there are certain requirements for water quality. Farmers need to monitor various parameters of water quality, such as water temperature, salinity, dissolved oxygen and PH value, etc., which are currently available in the industry. The current detection method mainly extracts water quality samples. This method not only increases the test time delay, but also slows down the feedback speed of adjustment control; it also requires a high degree of manual participation and high input costs; such an offline detection method cannot be adapted to large-scale aquaculture. , for the aquaculture model that requires high real-time water quality, it will bring uncontrollable risks. Contents of the invention [0003] Based on the above problems...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, when tidal flat shellfish are cultured in ponds, there are certain requirements for water quality. Farmers need to monitor various parameters of water quality, such as water temperature, salinity, dissolved oxygen and PH value, etc., which are currently available in the industry. The current detection method is mainly by extracting water quality samples. This method not only increases the test time delay, but also slows down the adjustment and control feedback speed; it also requires a high degree of manual participation and high input costs; such an offline detection method cannot be adapted to large-scale aquaculture. , for the aquaculture model with high real-time water quality requirements, it will bring uncontrollable risks

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