Aquaculture water color regulation and control system and operation method thereof

Abstract

The invention discloses a culture water color regulation and control system and an operation method thereof. The water color regulation and control system and the operation method thereof are used for carrying out water color regulation and control on a water body in a culture pond (13); the water color regulation and control system comprises an ozone mixing bin (3) and an ozone generator (8); a water body circulating system is arranged between the ozone mixing bin and the culture water tank, and the water body circulating system can make water body in the culture water tank flow through the ozone mixing bin in a circulating mode; the ozone generator is used for adding ozone into the water body in the ozone mixing bin. The water color regulation and control system and the operation method thereof can automatically monitor, predict and regulate and control the water color of the aquaculture water body, can take measures in advance before the water quality is deteriorated to avoid the influence of the water quality problem on aquatic organisms, and can effectively kill harmful microorganisms in the water body and decompose organic pollutants by accurately adding ozone, so that the water quality is effectively improved. Therefore, transparency and color of the water body are improved.

Description

Technical Field

[0001] The present invention relates to a technology for treating aquaculture water bodies, and particularly to an aquaculture water body water color regulation system and an operation method thereof. Background Art

[0002] With the expansion of the scale of industrialized recirculating aquaculture, water quality management has become the core issue affecting aquaculture benefits and ecological sustainability. As an intuitive indicator of water quality health, water color directly reflects the dynamic balance of algae, suspended solids, and dissolved organic matter in the water body. Traditional water color regulation methods mainly rely on manual observation and empirical judgment, which have problems such as strong subjectivity, low accuracy, and poor real-time performance. Ozone, as a strong oxidant, can effectively improve water quality and regulate water color. However, water color is affected by the interaction of multiple factors such as dissolved oxygen, pH, and ammonia nitrogen. Existing systems lack the ability of multimodal data fusion and are difficult to accurately predict the trend of water color evolution. The safe use concentration of ozone is 0.1 - 0.2 mg / L, but traditional ozone addition methods lack real-time monitoring and precise control of water color, which easily leads to excessive or insufficient ozone addition, thereby affecting the growth and health of fish. Therefore, there is an urgent need for a water color management system that integrates real-time monitoring, intelligent prediction, and precise regulation to break through the technical bottleneck of industrialized aquaculture.

[0003] In summary, the current problems are as follows:

[0004] 1) Traditional water color regulation methods mainly rely on manual observation and empirical judgment, which have strong subjectivity, low accuracy, and poor real-time performance;

[0005] 2) Traditional ozone addition methods lack real-time monitoring and precise control of water color, which easily leads to excessive or insufficient ozone addition, thereby affecting the growth and health of fish. Summary of the Invention

[0006] In order to solve the problems existing in the prior art, the present invention provides an aquaculture water body water color regulation system and an operation method thereof, and the water color regulation system can automatically monitor, predict, and regulate the water color of the aquaculture water body.

[0007] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0008] An aquaculture water body water color regulation system is used to regulate the water color of the water body in an aquaculture pond; the water color regulation system includes an ozone mixing chamber and an ozone generator; a water body circulation system is arranged between the ozone mixing chamber and the aquaculture pond, and the water body circulation system can make the water body in the aquaculture pond circulate through the ozone mixing chamber; the ozone generator is used to add ozone to the water body in the ozone mixing chamber.

[0009] Further, the water circulation system is specifically implemented as follows: The ozone mixing chamber has an inner chamber and an outer chamber. The top of the inner chamber is located in the outer chamber. An orifice plate is provided at the top of the inner chamber, and activated carbon packets are arranged in the inner chamber. A water inlet pipe is provided for the outer chamber of the ozone mixing chamber, and the water inlet pipe is used to introduce the water in the aquaculture pond into the outer chamber of the ozone mixing chamber. A pumping pipeline is provided for the inner chamber of the ozone mixing chamber. One end of the pumping pipeline is used as a pumping port and is located in the inner chamber, and a water pump is provided at the pumping port. The other end of the pumping pipeline is used as a water discharge port and is located above the aquaculture pond.

[0010] Further, the water color regulation system further includes a camera and a water quality sensor module. The camera is used to capture the water image in the aquaculture pond. The water quality sensor module is used to perform contact detection on the water quality in the aquaculture pond to obtain water quality data.

[0011] Further, the ozone generator has four ozone output pipes, and all the four ozone output pipes are connected to an aeration disc, and the aeration disc is arranged in the outer chamber of the ozone mixing chamber.

[0012] Further, the aeration disc is a nano-aeration disc.

[0013] Further, the ozone generator has a WIFI wireless communication module, and the ozone generator is connected to the Internet of Things through WIFI.

[0014] Further, the water color regulation system further includes a main control computer, and the main control computer is used to control the start and stop operation of the ozone generator.

[0015] Further, an image analysis program, a water color prediction model, and an ozone addition control program are set in the main control computer. The image analysis program is used to analyze the image captured by the camera to obtain the water color and the water surface turbidity of the water in the aquaculture pond. The water color prediction model is used to analyze and predict the water color and the water surface turbidity of the water in the aquaculture pond at a future moment according to parameters. The ozone addition control program is used to control the start and stop operation of the ozone generator according to the water color and the water surface turbidity at a future moment predicted by the water color prediction model.

[0016] A method for operating a water color regulation system for aquaculture water bodies, wherein the water color regulation system is the water color regulation system as described above; the water color regulation system further includes a camera and a water quality sensor module; the camera is used to capture images of the water body in the aquaculture pond; the water quality sensor module is used to perform contact detection on the water quality of the water body in the aquaculture pond to obtain water quality data; the water color regulation system further includes a main control computer, and an image analysis program, a water color prediction model, and an ozone addition control program are set in the main control computer; the image analysis program is used to analyze the images captured by the camera to obtain the water color and water surface turbidity of the water body in the aquaculture pond; the water color prediction model is used to analyze and predict the water color and water surface turbidity of the water body in the aquaculture pond at a future moment according to parameters; the ozone addition control program is used to control the start and stop operation of the ozone generator according to the water color and water surface turbidity at a future moment predicted by the water color prediction model; the method for operating the water color regulation system includes: the main control computer collects images of the water surface of the aquaculture pond through the camera; the image analysis program set in the main control computer processes the collected images. First, it extracts images within a specific range in the aquaculture pond, converts the RGB parameters of the water surface image into LAB parameters, and extracts the B and L parameters from them, that is, the water color; it uses the Laplace operator to perform convolution processing on the grayscale image of the water surface image, then calculates the variance of the processing result and divides it by the L value to obtain the water surface turbidity coefficient H representing the image brightness, that is, the water surface turbidity; the main control computer collects the water quality parameters of the water body in the aquaculture pond through the water quality sensor module, and manually inputs parameters to the main control computer. Finally, 11 input parameters are collected, namely the current feeding amount, fish size, fish density, water temperature, dissolved oxygen, pH value, ammonia nitrogen, nitrite, ozone concentration, water color, and water surface turbidity; then, these 11 parameters are input into the water color prediction model, and the water color prediction model finally predicts the "water color and water surface turbidity at a future t moment" according to these parameters; the ozone addition control program adopts a PID fuzzy control method, which designs a fuzzy control table according to the ozone concentration error and ozone generator parameters, and can automatically update the PID coefficient according to the ozone feedback data during use; in the ozone addition control program, a water color limit threshold and a water surface turbidity limit threshold are respectively set for the water color and water surface turbidity data of the water body in the aquaculture pond; first, compare the "water color and water surface turbidity at a future t moment" data predicted by the water color prediction model with the pre-determined "water color limit threshold" and "water surface turbidity limit threshold". When the predicted water color data exceeds the pre-determined water color limit threshold, or the predicted water surface turbidity data exceeds the pre-determined water surface turbidity limit threshold, it indicates that the water body color is abnormal or the turbidity is too high, and the water quality needs to be improved, so the ozone generator is started to start adding ozone to the water body;The ozone generator keeps running until "the water color data of the water body is lower than the preset water color limit threshold, and the water surface turbidity data of the water body is lower than the preset water surface turbidity limit threshold", at which time the ozone generator is controlled to stop running.;

[0017] The beneficial effects of the water color regulation system and its operation method of the present invention compared with the prior art are as follows:

[0018] 1) Improve water quality: By accurately adding ozone, harmful microorganisms in the water body can be effectively killed and organic pollutants can be decomposed, thereby improving the transparency and color of the water body;

[0019] 2) Preventive control: Using the prediction model to judge the water quality change in advance, measures can be taken in advance before the water quality deteriorates to avoid the impact of water quality problems on aquatic organisms;

[0020] 3) Energy saving and environmental protection: By accurately controlling the ozone addition amount, the system avoids excessive use of ozone, reduces energy consumption, and at the same time reduces the potential harm to the environment;

[0021] 4) Automatic regulation: It can automatically monitor, predict and regulate the water color of the aquaculture water body without manual intervention, reducing the error and labor intensity of manual operation. Brief Description of the Drawings

[0022] Figure 1 It is a schematic diagram of the composition of the aquaculture water body water color regulation system of the present invention;

[0023] Figure 2 is Figure 1 an enlarged schematic diagram at the ozone generator in;

[0024] Figure 3 It is a schematic diagram of the water color prediction model adopted in the water color regulation system of the present invention;

[0025] Figure 4 It is a flowchart of the computer program for implementing the operation method of the aquaculture water body water color regulation system of the present invention. Detailed Embodiments

[0026] The following uses specific embodiments to further illustrate the present invention:

[0027] See Figures 1 to 3, this embodiment provides a water color regulation system for aquaculture water bodies. This water color regulation system is specifically configured for an aquaculture pond 13. The function of this water color regulation system is to: monitor and intelligently regulate the water color and turbidity of the water body in the aquaculture pond 13 in real time, and improve the water quality by accurately adding ozone, so as to solve the problems of low accuracy, poor real-time performance, and excessive or insufficient ozone addition caused by manual experience judgment in traditional water color regulation methods, and then achieve the effects of optimizing the aquaculture water environment, improving the growth health level of fish, and increasing aquaculture benefits.

[0028] See Figure 1 , the water color regulation system of this embodiment includes a water inlet pipe orifice 1, an aeration disk 2, an ozone mixing chamber 3, a water pump 4, an ozone power control knob 5, an ozone flow control knob 6, a touch screen 7, an ozone generator 8, an ozone output pipe orifice 9, a WIFI antenna 10, an orifice plate 11, a water pumping pipeline 12, a camera 14, an aluminum profile bracket 15, a sensor data line 16, a water quality sensor module 17, a water level maintaining pipe 18, and a bracket base 19.

[0029] The water inlet pipe orifice 1 is communicated with the water level maintaining pipe 18 arranged in the aquaculture pond 13, and this water inlet pipe orifice 1 is used to introduce the water body in the aquaculture pond 13 into the ozone mixing chamber 3.

[0030] When the water level in the ozone mixing chamber 3 rises to the position of the orifice plate 11, the water flow freely drops from the orifice plate 11 into the inner chamber 31. In this way, the excess ozone in the water body can be eliminated. The ozone generated by the four-way ozone generator 8 is respectively introduced into the four aeration disks 2. The user can rotate the ozone power control knob 5 and the ozone flow control knob 6 to adjust the ozone output power and output flow, or can also be set through the touch screen 7. The ozone adopts voltage control to output the concentration, and fuzzy PID regulation is carried out according to the feedback of the ozone motor.

[0031] The WIFI antenna 10 is used for remote control and ozone monitoring.

[0032] The camera 14 is installed on the aluminum profile bracket 15 in the exact middle of the aquaculture pond 13.

[0033] The water quality sensor module 17 (dissolved oxygen, pH, ammonia nitrogen, nitrite, ozone) is placed in the water level maintaining pipe 18 to monitor the water quality change.

[0034] As Figure 3 shown, the water color prediction model structure is LSTM, and the model input quantity is 11, which are respectively the current feeding amount (Feed), fish size (G), fish density (Density), temperature (Tem), dissolved oxygen (DO), pH value, ammonia nitrogen (NH3-N), nitrite (NO2 -) The ozone concentration (O3), water color (Color), and water surface turbidity (Turbidity) are input into the water color LSTM prediction model, and the output is the "water color (Color) and water surface turbidity (Turbidity) at the future time t (the time for one cycle of the aquaculture pond 13)". LSTM retains historical information through memory cells (Cell State) and hidden states (Hidden State), effectively capturing the time lag effect of water quality parameters (such as the delayed impact of ozone decomposition on turbidity).

[0035] The input parameters cover chemical (NH3-N, NO2 - ), physical (Turbidity), and biomass (Density) indicators. The model learns their interaction relationships through weights (for example: high ammonia nitrogen and low dissolved oxygen together cause the water color to deepen).

[0036] As Figure 4 shown, the system collects the water surface images and water quality parameters of the aquaculture pond 13, and then processes the images. First, the images within a specific range in the aquaculture pond 13 (O-shaped) are extracted, and the RGB parameters of the water surface images are converted into LAB parameters, from which the B (blue-yellow) and L (luminance) parameters are extracted.

[0037] Next, the system performs convolution processing on the grayscale image of the water surface image using the Laplace operator, then calculates the variance of the processing result and divides it by the L value (image luminance) to obtain the water surface turbidity coefficient H representing the image luminance. At the same time, the system inputs parameters such as the current feeding amount, fish size, fish density, temperature, dissolved oxygen, pH value, ammonia nitrogen, nitrite, ozone concentration, water color, and water surface turbidity into the water color LSTM prediction model to predict the water color and water surface turbidity at the future time t.

[0038] If the predicted or current value exceeds the preset healthy water color threshold B or turbidity coefficient H, the system will start the fuzzy PID ozone addition program, with the default setting of the water body ozone concentration being 0.15 mg / L to improve water quality; otherwise, ozone addition will be stopped.

[0039] The present invention uses multi-modal information prediction technology to threshold the future changes in aquaculture water color and turbidity coefficient, and uses ozone to regulate the water body in advance before water quality deterioration, greatly improving the survival rate of cultured fish.

[0040] In summary, the water color regulation system of this embodiment can be summarized as follows:

[0041] This water color regulation system is specifically configured for an aquaculture pond 13. A water level maintaining pipe 18 is provided in the aquaculture pond 13 (see the following text for details).

[0042] See Figure 1, the main body of the water color regulation system of this embodiment is an ozone mixing chamber 3.

[0043] There is a partition chamber in the ozone mixing chamber 3. This partition chamber is defined as the inner chamber 31, and the other space in the ozone mixing chamber 3 except the inner chamber 31 is defined as the peripheral chamber. The overall height of the peripheral chamber is higher than that of the inner chamber 31. That is to say, the top of the inner chamber 31 is located in the peripheral chamber.

[0044] A perforated plate 11 is provided at the top of the inner chamber 31 of the ozone mixing chamber 3. In this way, the inner chamber 31 communicates with the peripheral chamber through the perforated plate 11 at the top. An activated carbon packet is also provided in the inner chamber 31 to reduce the ozone residue in the inner chamber 31.

[0045] An inlet water pipe opening 1 is provided for the peripheral chamber of the ozone mixing chamber 3. The inlet water pipe opening 1 is communicated with a water level maintaining pipe 18 provided in the aquaculture pond 13. The inlet water pipe opening 1 is used to introduce the water body in the aquaculture pond 13 into the ozone mixing chamber 3. The water body in the aquaculture pond 13 can enter the peripheral chamber of the ozone mixing chamber 3 through the inlet water pipe opening 1.

[0046] A pumping pipeline 12 is provided for the inner chamber 31 of the ozone mixing chamber 3. One end of the pumping pipeline 12 is used as a pumping port and is located in the inner chamber 31 and at the bottom of the inner chamber 31. A water pump 4 is also provided for this pumping port. The other end of the pumping pipeline 12 is used as a water discharge port and is located above the aquaculture pond 13. When the water body in the peripheral chamber overflows the top of the inner chamber 31, the water body can fall from the peripheral chamber to the inner chamber 31 through the perforated plate 11. The water pump 4 in the inner chamber 31 can pump the water body in the inner chamber 31 back to the aquaculture pond 13 through the pumping pipeline 12. Such continuous pumping circulation is carried out to realize the circulating flow of the water body between the ozone mixing chamber 3 and the aquaculture pond 13.

[0047] It should be noted that during the process of "when the water body in the peripheral chamber overflows the top of the inner chamber 31, the water body can fall from the peripheral chamber to the inner chamber 31 through the perforated plate 11", the ozone in the water body is likely to escape, thus preventing the ozone from entering the aquaculture pond 13 through the pumping pipeline 12 along with the water body.

[0048] It should be noted that under normal circumstances, the water pump 4 is always open, that is, it maintains an operating state, so as to ensure the perennial circulating flow of the water body between the ozone mixing chamber 3 and the aquaculture pond 13.

[0049] The combination of the above-mentioned inlet water pipe opening 1, the inner chamber 31 and the peripheral chamber of the ozone mixing chamber 3, the perforated plate 11, the pumping pipeline 12 and the water pump 4 essentially constitutes a water body circulation system. This water body circulation system can enable the water body in the aquaculture pond 13 to circulate through the ozone mixing chamber 3.

[0050] The ozone mixing chamber 3 is also provided with an ozone generator 8 and four aeration plates 2 .

[0051] See also Figure 2 The ozone generator 8 is an ozone generator of the prior art (available on the market). The ozone generator 8 is a four-way ozone generator, that is, the ozone generator 8 has four ozone output pipes 9 for outputting ozone to the outside. The ozone generator 8 has an ozone power control knob 5, an ozone flow control knob 6, a touch screen 7, and the like.

[0052] The ozone generator 8 also has a WIFI wireless communication module and is specifically provided with a WIFI antenna 10, so that the ozone generator 8 can be connected to the Internet of Things via WIFI, thereby realizing remote monitoring.

[0053] The ozone generator 8 is hung on the outer wall of the ozone mixing chamber 3 .

[0054] Four aeration plates 2 (the specific number can be determined according to needs) are arranged in the outer chamber of the ozone mixing chamber 3. The four aeration plates 2 are respectively connected to the four ozone output pipes 9 of the ozone generator 8 mentioned above through independent pipelines. In this way, the ozone produced by the ozone generator 8 can be dispersed into the water body in the outer chamber of the ozone mixing chamber 3 through the aeration plates 2.

[0055] It should be noted that the aeration disc 2 used in this embodiment is a nano aeration disc, which is a water treatment and oxygenation device in the prior art and is widely used in aquaculture, sewage treatment, ecological restoration and other fields. The nano aeration disc uses nanotechnology to manufacture a microporous structure, which can efficiently disperse gas (such as air, oxygen or ozone) into water to form a large number of tiny bubbles, thereby significantly improving the dissolution efficiency and mass transfer effect of the gas.

[0056] A camera 14 is also provided for the breeding pond 13 . The camera 14 is a fisheye camera. The camera 14 is installed based on an aluminum profile bracket 15 . The camera 14 is arranged above the breeding pond 13 , and its camera direction is toward the water body (water surface) in the breeding pond 13 .

[0057] The camera 14 is used to capture images of the water body (water surface) in the aquaculture pond 13. The captured images are used to analyze and obtain water color and water surface turbidity data of the water body, which are then input into a water color prediction model to achieve a prediction and judgment of the water quality in the aquaculture pond 13.

[0058] A water quality sensor module 17 is also provided for the aquaculture pond 13. The water quality sensor module 17 includes various sensors for detecting dissolved oxygen, pH value, ammonia nitrogen, nitrite, and ozone in the water body.

[0059] As previously mentioned, a water level maintaining pipe 18 is provided in the aquaculture pond 13. The water level maintaining pipe 18 is essentially a drain pipe with an upward opening. The lower end pipe orifice of the water level maintaining pipe 18 is connected to the water inlet orifice 1 of the water color regulation system. In this way, when the water level in the aquaculture pond 13 is higher than the drain pipe orifice of the water level maintaining pipe 18, the water on the water surface will leak down from the water level maintaining pipe 18. Thus, on the one hand, it ensures the water body circulation between the aquaculture pond 13 and the water color regulation system, and on the other hand, it ensures that the water level in the aquaculture pond 13 will not be too high.

[0060] The water quality sensor module 17 is arranged in the water level maintaining pipe 18, so as to conduct contact detection on the water quality of the water body in the aquaculture pond 13 based on the water level maintaining pipe 18 and obtain various water quality data.

[0061] In this embodiment, a main control computer is also provided for the water color regulation system. All the electrical devices in the water color regulation system can perform data signal interaction with the main control computer, specifically through wired or wireless means and through the Internet of Things to achieve data signal interaction. These devices are all controlled or signaled by the main control computer. Such as the ozone generator 8, the water pump 4, the water quality sensor module 17, etc., all perform data signal interaction with the main control computer, and the main control computer can automatically control the operation of the entire water color regulation system (especially for the ozone generator 8).

[0062] An image analysis program is set in the main control computer. The image analysis program is mainly used to analyze the images captured by the camera 14, so as to analyze and obtain the water color and water surface turbidity of the water body in the aquaculture pond 13.

[0063] A deep learning model for realizing automatic control is also set in the main control computer. For the convenience of description, the name of this model is defined as the "water color prediction model". In this embodiment, the "water color prediction model" adopts the existing LSTM (Long Short-Term Memory) model.

[0064] In this embodiment, 11 input parameters are set for the water color prediction model, which are respectively: current feeding amount (Feed), fish size (G), fish density (Density), water temperature (Tem), dissolved oxygen (DO), pH value, ammonia nitrogen (NH3-N), nitrite (NO2 -) Ozone concentration (O3), water color (Color), and water surface turbidity (Turbidity).

[0065] The data of the current feeding amount (Feed), fish size (G), and fish density (Density) are collected by manual input.

[0066] The water temperature (Tem), dissolved oxygen (DO), pH value, ammonia nitrogen (NH3-N), nitrite (NO2 - ) Ozone concentration (O3), and other data are collected by the sensors in the water quality sensor module 17.

[0067] The data of the water color (Color) and water surface turbidity (Turbidity) are obtained after analyzing the water surface images collected by the camera 14.

[0068] The water color prediction model is set with two output quantities, which are "the water color (Color) and water surface turbidity (Turbidity) of the water body at the future time t (the time taken for one cycle of the aquaculture pond)". These two output quantities are essentially prediction values, which are used to guide the best start-stop operation mode of the ozone generator 8 in the future for a period of time.

[0069] The control process of the main control computer is as follows:

[0070] The main control computer collects the water surface images of the aquaculture pond 13 through the camera 14.

[0071] The image analysis program set in the main control computer processes the collected images.

[0072] First, extract the images within a specific range in the aquaculture pond 13 (O-shaped), and convert the RGB parameters of the water surface image to LAB parameters, and extract the B (blue-yellow) and L (luminance) parameters from them, that is, the water color.

[0073] Then, use the Laplace operator to perform convolution processing on the grayscale image of the water surface image, and then calculate the variance of the processing result and divide it by the L value (image luminance) to obtain the water surface turbidity coefficient H representing the image luminance, that is, the water surface turbidity.

[0074] The main control computer collects the water quality parameters of the water body in the aquaculture pond 13 through the water quality sensor module 17, and the parameters are manually input to the main control computer. Finally, 11 input parameters as described above are collected, that is, the current feeding amount (Feed), fish size (G), fish density (Density), water temperature (Tem), dissolved oxygen (DO), pH value, ammonia nitrogen (NH3-N), nitrite (NO2 - ) Ozone concentration (O3), water color (Color), and water surface turbidity (Turbidity);

[0075] Then, these 11 parameters are input into the water color prediction model, and the water color prediction model finally predicts "the water color and water surface turbidity at the future time t" based on these parameters.

[0076] For the operation of the ozone generator 8, an ozone addition control program is also set in the main control computer.

[0077] The ozone addition control program adopts a PID fuzzy control method. It designs a fuzzy control table based on the ozone concentration error and the parameters of the ozone generator, and can automatically update the PID coefficient according to the ozone feedback data during use to ensure the ozone control accuracy.

[0078] In this ozone addition control program,

[0079] Thresholds are respectively set for the water color and water surface turbidity data of the water body in the aquaculture pond 13. For the convenience of description, these two thresholds are respectively defined as the "water color limit threshold" and the "water surface turbidity limit threshold";

[0080] First, compare the data of "the water color and water surface turbidity at the future time t" predicted by the water color prediction model with the pre-determined "water color limit threshold" and "water surface turbidity limit threshold".

[0081] When

[0082] the predicted water color data exceeds the pre-determined water color limit threshold,

[0083] Or,

[0084] the predicted water surface turbidity data exceeds the pre-determined water surface turbidity limit threshold,

[0085] then

[0086] it indicates that the water body color is abnormal or the turbidity is too high, and the water quality needs to be improved. Thus, the ozone generator 8 is started to start adding ozone to the water body. By default, the ozone concentration in the water body is set to 0.15 mg / L, which is a safe and effective concentration range for improving water quality.

[0087] The ozone generator 8 remains in the operating state until "the water color data of the water body is lower than the pre-set water color limit threshold, and the water surface turbidity data of the water body is lower than the pre-set water surface turbidity limit threshold", and then the ozone generator 8 is controlled to stop operating.

[0088] In this way, "controlling the ozone generator 8 to output ozone according to the water color and water surface turbidity of the water body" is achieved. Thus, the water quality of the aquaculture water body in the aquaculture pond 13 is guaranteed.

[0089] The water color regulation system of this embodiment has the following advantages:

[0090] 1) Improve water quality: By accurately adding ozone, it can effectively kill harmful microorganisms in the water body and decompose organic pollutants, thereby improving the transparency and color of the water body;

[0091] 2) Preventive control: Using a prediction model to judge water quality changes in advance, measures can be taken in advance before water quality deteriorates to avoid the impact of water quality problems on aquatic organisms;

[0092] 3) Energy saving and environmental protection: By accurately controlling the ozone addition amount, the system avoids excessive use of ozone, reduces energy consumption, and at the same time reduces potential harm to the environment;

[0093] 4) Automatic regulation: It can automatically monitor, predict and regulate the water color of the aquaculture water body without manual intervention, reducing the errors and labor intensity of manual operations.

[0094] The above are only the preferred embodiments of the present invention and are not used to limit the protection scope of the present invention. Therefore, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A water color control system for aquaculture water, the water color control system being used to control the water color of a water body in an aquaculture pond (13); Features: The water color control system comprises an ozone mixing chamber (3) and an ozone generator (8); A water circulation system is provided between the ozone mixing chamber (3) and the aquaculture pool (13), and the water circulation system can allow the water in the aquaculture pool (13) to circulate through the ozone mixing chamber (3); The ozone generator (8) is used to add ozone to the water in the ozone mixing chamber (3).

2. The aquaculture water color control system according to claim 1, characterized in that: The water circulation system is specifically implemented as follows: The ozone mixing chamber (3) comprises an inner chamber (31) and an outer chamber, the top of the inner chamber (31) is located in the outer chamber, a perforated plate (11) is arranged on the top of the inner chamber (31), and an activated carbon bag is arranged in the inner chamber (31); A water inlet (1) is provided for the outer chamber of the ozone mixing chamber (3), and the water inlet (1) is used to introduce water in the breeding pond (13) into the outer chamber of the ozone mixing chamber (3); A water pumping pipe (12) is provided in the inner chamber (31) of the ozone mixing chamber (3), one end of the water pumping pipe (12) is located in the inner chamber (31) as a water pumping port, a water pump (4) is provided at the water pumping port, and the other end of the water pumping pipe (12) is located above the aquaculture pond (13) as a water discharge port.

3. The aquaculture water color control system according to claim 1, characterized in that: The water color control system also includes a camera (14) and a water quality sensor module (17); The camera (14) is used to capture images of water in the breeding pond (13); The water quality sensor module (17) is used to perform contact detection on the water quality of the water body in the breeding pond (13) to obtain water quality data.

4. The aquaculture water color control system according to claim 1, characterized in that: The ozone generator (8) has four ozone output pipe openings (9), and the four ozone output pipe openings (9) are all connected to an aeration plate (2). The aeration plate (2) is arranged in a peripheral chamber of the ozone mixing chamber (3).

5. The aquaculture water color control system according to claim 4, characterized in that: The aeration plate (2) is a nano aeration plate.

6. The aquaculture water color control system according to claim 1, characterized in that: The ozone generator (8) has a WIFI wireless communication module, and the ozone generator (8) is connected to the Internet of Things via WIFI.

7. The aquaculture water color control system according to claim 1, characterized in that: The water color control system also includes a main control computer, which is used to control the start and stop operation of the ozone generator (8).

8. The aquaculture water color control system according to claim 7, characterized in that: The main control computer is provided with an image analysis program, a water color prediction model and an ozone addition control program; The image analysis program is used to analyze the image captured by the camera (14) to obtain the water color and water surface turbidity of the water body in the breeding pond (13); The water color prediction model is used to analyze and predict the water color and water surface turbidity of the water body in the aquaculture pond (13) at a future time according to the parameters; The ozone addition control program is used to control the start and stop operation of the ozone generator (8) according to the water color and water surface turbidity at a future moment predicted by the water color prediction model.

9. A method for operating a water color control system for aquaculture water, wherein the water color control system is the water color control system according to claim 1; The water color control system further comprises a camera (14) and a water quality sensor module (17); the camera (14) is used to capture images of water in the aquaculture pond (13); the water quality sensor module (17) is used to perform contact detection on the water quality of the water in the aquaculture pond (13) to obtain water quality data; The water color control system also includes a main control computer, in which an image analysis program, a water color prediction model and an ozone addition control program are arranged; The image analysis program is used to analyze the image captured by the camera (14) to obtain the water color and water surface turbidity of the water body in the breeding pond (13); The water color prediction model is used to analyze and predict the water color and water surface turbidity of the water body in the aquaculture pond (13) at a future time according to the parameters; The ozone addition control program is used to control the start and stop operation of the ozone generator (8) according to the water color and water surface turbidity at a future moment predicted by the water color prediction model; Features: The water color control system operation method comprises: The main control computer collects the water surface image of the breeding pond (13) through the camera (14); The image analysis program set in the main control computer processes the collected images. First, an image of a specific range in the aquaculture pond (13) is extracted, and the RGB parameters of the water surface image are converted into LAB parameters, from which B and L parameters, i.e., water color, are extracted; The Laplace operator is used to perform convolution processing on the grayscale image of the water surface, and then the variance of the processing result is calculated and divided by the L value, so as to obtain the water surface turbidity coefficient H, which represents the brightness of the image, that is, the water surface turbidity; The main control computer collects water quality parameters of the water body in the breeding pond (13) through the water quality sensor module (17), and the parameters are manually input into the main control computer, and finally 11 input parameters are collected, namely, the current feeding amount, fish size, fish density, water temperature, dissolved oxygen, pH value, ammonia nitrogen, nitrite, ozone concentration, water color and water surface turbidity; Then, these 11 parameters are input into the water color prediction model, which finally predicts "water color and water surface turbidity at time t in the future" based on these parameters; The ozone addition control program adopts PID fuzzy control mode, which designs a fuzzy control table according to ozone concentration error and ozone generator parameters, and can automatically update the PID coefficient according to ozone feedback data when in use; In the ozone addition control program, a water color limit threshold and a water surface turbidity limit threshold are respectively set for the water color and water surface turbidity data of the water body in the aquaculture pond (13); First, the "water color and water surface turbidity data at time t in the future" predicted by the water color prediction model are compared with the pre-determined "water color limit threshold" and "water surface turbidity limit threshold". when The predicted water color data exceeds the predetermined water color limit threshold, or, The predicted water surface turbidity data exceeds the predetermined water surface turbidity limit threshold, but This indicates that the water body has an abnormal color or is too turbid and the water quality needs to be improved, so the ozone generator (8) is started to add ozone to the water body; The ozone generator (8) remains in operation until "the water color data of the water body is lower than a preset water color limit threshold, and the water surface turbidity data of the water body is lower than a preset water surface turbidity limit threshold", and then the ozone generator (8) is controlled to stop operating.

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