1、 Working principle: Multi technology integration achieves precise monitoring
The quality detection of aquaculture wastewater is achieved through the comprehensive application of physical, chemical, biological, and intelligent sensing technologies, which enables real-time capture and quantitative analysis of key pollutants in the water body. The core principles are as follows:
Physical induction technology
Dissolved oxygen detection: Using the oxidation-reduction reaction on the electrode surface to generate a current signal, the current intensity is linearly related to the dissolved oxygen concentration, and accurate measurement is achieved through signal conversion.
PH value detection: Based on the potential difference between the glass electrode and the reference electrode, changes in the acidity or alkalinity of the water will alter the electrode potential, causing fluctuations in the output signal. The built-in temperature compensation module can eliminate water temperature interference and ensure measurement stability.
Chemical analysis techniques
Ammonia nitrogen detection: Using Nessler's reagent spectrophotometry, ammonia nitrogen reacts with the reagent to form a yellow brown complex, whose absorbance is proportional to the concentration of ammonia nitrogen. Measure the absorbance at a wavelength of 420nm using a spectrophotometer and calculate the concentration value based on the standard curve.
Total phosphorus detection: Under acidic conditions, convert phosphorus into orthophosphate, react with ammonium molybdate to form phosphomolybdic acid, and then be reduced by ascorbic acid to form a blue complex. Quantitative analysis of total phosphorus is achieved by measuring absorbance at a wavelength of 700nm using colorimetric method.
biosensor technology
Using biological components such as microorganisms, enzymes, or antibodies to specifically react with pollutants and convert them into measurable electrical signals. For example, in heavy metal detection, the activity of specific enzymes changes after binding with lead, mercury, etc., and the concentration of pollutants is reflected by the intensity of electrical signals.
Intelligent sensing and IoT technology
Multi parameter sensors integrate the above technologies to collect real-time data on pH, dissolved oxygen, ammonia nitrogen, COD, etc., and transmit it to the cloud through wireless modules such as GPRS and Wi Fi. The system has built-in algorithms to clean and analyze data, generate visual reports, and support remote monitoring and early warning.
2、 Core advantage: Comprehensive improvement from efficiency to sustainability
Real time: 24-hour continuous monitoring, zero delay risk warning
Traditional manual testing has a low frequency (1-2 times a day), making it difficult to capture instantaneous risks such as sudden drops in dissolved oxygen and sudden pollution at night. The data update frequency of the intelligent monitoring system can reach once every minute. For example, when the ammonia nitrogen concentration exceeds the standard, the system will immediately sound an alarm through the APP or SMS. Management personnel can quickly activate oxygenation or purification equipment to avoid large-scale fish mortality.
Accuracy: Multi parameter collaborative analysis, scientific decision-making
The system simultaneously monitors dissolved oxygen pH、 Indicators such as ammonia nitrogen and turbidity are analyzed through data correlation analysis (such as the COD to BOD ratio reflecting the biodegradability of wastewater) to provide a basis for optimizing aquaculture plans. For example, adjusting the feeding amount based on the linkage between dissolved oxygen and water temperature data to avoid excessive ammonia nitrogen caused by residual bait decomposition.
Technical support: High precision sensors (such as electrochemical sensors, optical sensors) and professional analysis software (such as trend chart generation, outlier labeling) ensure data reliability.
Automation: Reducing labor costs and improving management efficiency
Automatic sampler collects water samples according to preset programs or abnormal situations, reducing manual sampling errors; The data is automatically uploaded to the cloud to generate daily and weekly reports, and farmers can grasp water quality dynamics through a visual interface without professional background.
Cost comparison: The intelligent monitoring station can cover dozens of breeding ponds, and the management cost of a single pond is reduced by more than 60% compared to manual mode.
Environmental compliance: Ensure emissions meet standards and avoid legal risks
The system monitors the concentration of pollutants such as COD and total phosphorus in sewage in real time, and automatically triggers the purification process (such as increasing backwash frequency and replenishing new water) when it exceeds the standard, ensuring that the discharge complies with the Comprehensive Wastewater Discharge Standard (GB 8978-1996).
Full scene adaptation: Dealing with complex breeding environments
Hardware design: The core components adopt industrial grade wide temperature and high humidity design (-20 ℃~+60 ℃), and the shell is made of 316L stainless steel and anti-corrosion coating, with a protection level of IP68, which can resist moisture, dust, and livestock manure erosion, and can operate stably for more than 8 years.
Installation method: Supports various modes such as wall mounted, pole mounted, and submerged, suitable for different scenarios such as sewage tanks, discharge outlets, and channels. For example, optimizing sensor selection for high ammonia nitrogen wastewater in pig farms and adding filtration devices for high-fat wastewater in slaughterhouses.
3、 Application scenarios and future trends
Pond aquaculture: The float type monitoring station adjusts the detection depth according to changes in water level, realizing the automation of the entire process of "dissolved oxygen monitoring oxygenation data recording", and increasing the yield per acre by 15% -20%.
Factory based circular aquaculture: Monitor special indicators such as residual chlorine to ensure that the circulating water meets aquaculture standards and the water utilization rate reaches over 90%.
Cage aquaculture: Anchored equipment monitors water flow velocity and dissolved oxygen, combined with meteorological data to achieve wind and wave warning and reduce losses during typhoon seasons.
Future direction: With the integration of AI and blockchain technology, the system will have functions such as automatic recognition of pollution patterns and tamper proof data, promoting the transformation of aquaculture towards intelligence and sustainability.
Conclusion: Real time, accurate, and automated water quality monitoring of aquaculture wastewater can be achieved through the integration of multiple technologies. This not only improves the efficiency and economic benefits of aquaculture, but also contributes to environmental compliance and sustainable development. It is an indispensable "green guardian" of modern aquaculture.