Why do we need aquaculture water quality monitoring system ？Nowadays, people attach importance to the balanced development of nutrition, and the demand for fish is increasing day by day.
Fish meat is delicious and rich in protein. The protein contained in fish is all complete protein. Moreover, the amount and ratio of essential amino acids in protein are most suitable for the needs of the human body and are easily digested and absorbed by the human body. At the same time, fish contains folic acid, vitamin B2, vitamin B12 and other vitamins.
It has the effects of nourishing stomach, diuresis and swelling, clearing heat and detoxification, and stopping cough and lower gas. It is effective for various edema, edema, abdominal distension, oliguria, jaundice and other conditions.
The meat of fish is rich in magnesium, which has a good protective effect on the cardio-cerebrovascular system. Is beneficial to diseases such as high blood pressure, myocardial infarction, and is also effective in lowering cholesterol.
Due to the relatively high nutritional value of fish and insufficient fish supply, the aquaculture industry is booming. In this era of rapid development of the Internet of Things pay attention to water quality monitoring. And adopt new types of aquaculture equipment to better breed fish.
Aquaculture water quality monitoring system
Jingxun's aquaculture water quality monitoring system is based on the Internet of Things technology, wireless sensors, cloud platforms, big data, and the Internet and other information technologies.
Use sensors to monitor the water environment parameters that affect the growth of aquatic animals such as dissolved oxygen, temperature, and pH in real time. The data is transmitted to the system through the informationized wireless transmission network. So that the raisers can obtain the water quality data information in a timely manner. And timely and accurately grasp the dynamic changes of water quality.
Users can monitor and manage through the mobile phone APP and computer client. Which is convenient for data analysis and observation, real-time monitoring information, early warning information, and intensive, networked remote management of aquaculture.