Intelligent regulation and control method for cowfish breeding environment based on water quality monitoring
By generating corridor mask areas and dividing window areas, and combining them with real-time water quality data for regulation, a low-disturbance approach was adopted to solve the problem of unstable water quality parameters in the finless porpoise breeding environment, achieving precise regulation and dynamic response, and enhancing water quality improvement effects and biosafety.
Patent Information
- Application Number
- CN202511150378.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-18
- Publication Date
- 2025-09-19
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies lack real-time dynamic analysis and targeted regulation in the finless porpoise breeding environment, making it difficult to make timely adjustments when there are slight changes in environmental conditions, resulting in unstable water quality parameters, affecting the health of farmed animals and the stability of the ecosystem.
By generating a corridor mask area and dividing the entrance window, core window, and exit window areas, the free ammonia ratio and dissolved oxygen value are calculated based on real-time water quality data, and the control state is formulated. Low-disturbance control methods such as small-dose pure oxygen supplementation, low-pressure air introduction, and lateral water supplementation are adopted to achieve precise control and dynamic response.
It improves the control accuracy, reduces the violent fluctuation of hydrodynamics, reduces the risk of stress response, reduces energy consumption, ensures the targeted effect of water quality improvement and environmental stability, and reduces the environmental risks of aquaculture waters.
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Figure CN120669776A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of water quality monitoring, and in particular to an intelligent control method for a finless porpoise breeding environment based on water quality monitoring. Background Art
[0002] In the aquaculture environment of rare aquatic organisms such as the Yangtze finless porpoise, it is usually necessary to construct artificial waters with stable water quality and suitable hydrodynamic conditions to ensure their healthy growth. Because aquaculture areas are often restricted by boundary structures such as outer protective dikes, cage facilities, and ecological floating islands, water exchange channels easily form constrained circulation corridors. Although such corridors can guide water flow to a certain extent, they are also prone to causing local flow rate slowdowns, reduced water self-purification capacity, and accumulation of harmful substances. When external water quality conditions or internal hydrodynamic changes are inappropriate, problems such as insufficient dissolved oxygen, increased ammonia nitrogen concentrations, and pH imbalances will gradually emerge, directly threatening the health of farmed animals and the stability of the ecosystem.
[0003] Existing technologies usually improve the water environment through fixed aeration equipment, traditional water pump circulation or high-flow water pushing, attempting to increase oxygen dissolution and promote water exchange. However, these methods generally have problems such as limited scope of action, high energy consumption and insufficient control precision. Fixed aeration can easily lead to local oxygen concentrations that are too high or too low, and traditional circulation equipment is less efficient when faced with complex boundary structures. Although high-flow water pushing can improve circulation in the short term, it can easily cause violent fluctuations in hydrodynamics and cause stress reactions in farmed animals. At the same time, existing methods lack real-time dynamic analysis and targeted regulation of water quality parameters, making it difficult to make timely adjustments when there are slight changes in environmental conditions, resulting in higher environmental risks in aquaculture waters. Summary of the Invention
[0004] The purpose of the present invention is to solve the shortcomings of the existing technology, which is the lack of real-time dynamic analysis and targeted regulation of water quality parameters, and the difficulty in making timely adjustments when slight changes in environmental conditions occur. An intelligent regulation method for the finless porpoise breeding environment based on water quality monitoring is proposed.
[0005] In order to solve the problems existing in the prior art, the present invention adopts the following technical solutions: A method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring, comprising: S1. Generate corridor mask area based on the arc embankment line, cage front edge line and floating island root curtain outer edge line of the finless porpoise breeding area; S2. Divide the corridor mask area into an entrance window area, a core window area, and an exit window area, calculate the free ammonia ratio based on real-time water quality data of the core window area, and determine the control status based on the free ammonia ratio and the dissolved oxygen values of the entrance window area and the exit window area; S3. Formulate implementation regulations for corridor mask areas based on regulatory status; S4. Adjust the water supply in the core window area according to the implementation regulations, and assign the normal control mark of the corridor mask area according to the result of the water supply adjustment; S5. Calculate the initial push flow rate based on the geometric parameters of the corridor mask area and the normal control flag, and perform initial push flow reduction control on the core window area according to the initial push flow rate.
[0006] Preferably, the corridor mask area is generated based on the arc embankment line, the front edge line of the cage and the outer edge line of the floating island root curtain of the finless porpoise breeding area, including: The first boundary curve, the second boundary curve and the third boundary curve of the finless porpoise breeding area are generated according to the two-dimensional coordinate sequences of the arc embankment line, the front edge line of the cage and the outer edge line of the floating island root curtain respectively; Get each candidate grid point of the finless porpoise breeding area; Calculating the minimum Euclidean distances between the candidate grid point and the first boundary curve, the second boundary curve, and the third boundary curve, respectively, to obtain a first minimum Euclidean distance, a second minimum Euclidean distance, and a third minimum Euclidean distance; Performing a pairwise minimum distance deviation operation on the first minimum Euclidean distance, the second minimum Euclidean distance, and the third minimum Euclidean distance to obtain three sets of distance difference values; Perform maximum deviation extraction on the three sets of distance difference values to obtain the maximum distance difference of the candidate grid points; If the maximum distance difference is less than or equal to the preset deviation threshold, the candidate grid point is determined to be a corridor grid point; otherwise, the candidate grid point is discarded; The spatial boundary envelope of all corridor grid points is reconstructed to obtain the corridor mask area.
[0007] Preferably, dividing the corridor mask area into an entrance window area, a core window area, and an exit window area includes: Perform normalized length transformation on the dominant direction axis of the corridor mask area to obtain a standardized length axis; The corridor mask area is equally divided into the entrance window area, the core window area and the exit window area according to the standardized length axis; Composite monitoring points are arranged in the core window area, and basic water quality monitoring points are arranged in the entrance window area and exit window area.
[0008] Preferably, the free ammonia ratio is calculated based on the real-time water quality data of the core window area, and the control state is determined according to the free ammonia ratio and the dissolved oxygen values of the inlet window area and the outlet window area, including: Calculate the free ammonia ratio based on the average water pH value and average water temperature of the real-time water quality data in the core window area; Calculate the absolute difference between the dissolved oxygen value in the inlet window area and the dissolved oxygen value in the outlet window area; If the absolute difference is less than or equal to the preset difference threshold, and the dissolved oxygen values of the inlet window area and the outlet window area are both greater than the dissolved oxygen value of the core window area, the anisotropic unobstructed flag of the core window area is assigned a value of 1; otherwise, the anisotropic unobstructed flag is assigned a value of 0; If the dissolved oxygen value in the core window area is lower than the preset minimum oxygen limit threshold, or the free ammonia ratio in the core window area is higher than the preset toxicity reference critical value, or the anisotropic patency flag is assigned a value equal to 1, the control state of the core window area is set to the toxicity limit state. If only the dissolved oxygen value in the core window area is lower than the preset reference dissolved oxygen value, the control state of the core window area is set to the warning state.
[0009] Preferably, implementation regulations for corridor mask areas are formulated based on the regulatory status, including: If the control state is the poison-limiting state, the implementation regulations include allowing small-dose pure oxygen supplementation and lateral water supplementation in the core window area, not allowing high-flow gas disturbance and corridor flow in the corridor mask area, and using the difference between the preset reference dissolved oxygen value and the dissolved oxygen value of the core window area as the target oxygen increase in the core window area.
[0010] If the control status is the warning status, the implementation of the regulations includes: allowing low-pressure air ventilation or low-volume air aeration to the core window area, and suspending corridor promotion behavior in the corridor mask area.
[0011] Preferably, water supply is adjusted in the core window area according to the implementation regulations, and the normal control mark of the corridor mask area is assigned according to the result of the water supply adjustment, including: If the control state corresponding to the implementation regulations is the toxicity-limited state, the volume of pure oxygen gas is calculated according to the target oxygen increase and the oxygen transfer rate law, and the core window area is oxygenated with a small dose of pure oxygen according to the volume of pure oxygen gas. The normal water supply flow rate is calculated, and the core window area is laterally replenished with water according to the normal water supply flow rate; If the control state corresponding to the execution regulations is the warning state, low-pressure air is introduced or low-volume air is aerated into the core window area; When the water supply is completed, the updated dissolved oxygen value, updated average water pH value and updated average water temperature of the core window area are obtained; Calculate the updated free ammonia ratio based on the updated average water pH value and the updated average water temperature; If the updated dissolved oxygen value exceeds the preset reference dissolved oxygen value, and the updated free ammonia ratio is less than the preset toxicity reference critical value, and the updated average water pH value is within the safe range, the normal control flag is assigned a value of 1.
[0012] Preferably, the initial flow rate is calculated based on the geometric parameters of the corridor mask area and the normal control flag, including: If the normal control flag is 1, the average width and average water depth in the geometric parameters are obtained; The initial flow rate is calculated based on the average width, average water depth and preset flow rate.
[0013] Preferably, the core window area is controlled to start streaming decrease according to the initial streaming flow, including: Start pushing the flow to the core window area according to the initial push flow rate; If the safety maintenance criterion of the initial push flow process is always met during the initial push flow process, the initial push flow rate is gradually reduced according to a fixed ratio; otherwise, the initial push flow is terminated and the process returns to S4.
[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention achieves precise definition of the control space by generating a corridor mask area and dividing it into entrance, core, and exit windows, addressing the limited scope of existing technologies. Focused monitoring and targeted control of the core window area, such as low-dose pure oxygen supplementation and low-pressure air aeration, avoids localized oxygen concentration imbalances caused by fixed aeration, improves control accuracy, and ensures that water quality improvement effects are concentrated in key areas.
[0015] 2. In the present invention, a low-disturbance control method is adopted, such as small-dose pure oxygen supplementation, lateral water supplementation and flow reduction control, which replaces the traditional large-flow water push and high-flow gas disturbance, reduces the violent fluctuation of hydrodynamics, and reduces the risk of stress response to the finless porpoise. The on-demand control mode avoids energy waste, solves the problem of high energy consumption of the existing technology, and takes into account both water quality improvement and biological safety.
[0016] 3. In the present invention, the free ammonia ratio is calculated based on real-time water quality data, the control status is determined, and the control effect is fed back through the normal control mark, forming a dynamic response mechanism. The dynamic response mechanism can timely capture slight changes in the environment and adjust the control measures, solving the defects of the existing technology in lacking real-time dynamic analysis and targeted adjustment, reducing the environmental risks of aquaculture waters, and ensuring the stability of the finless porpoise aquaculture environment. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 A flow chart of a method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring provided in one embodiment of the present invention. DETAILED DESCRIPTION
[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.
[0019] Example: This example provides a method for intelligently controlling the environment of a finless porpoise breeding facility based on water quality monitoring. Figure 1 , specifically, including: S1. Generate corridor mask area based on the arc embankment line, cage front edge line and floating island root curtain outer edge line of the finless porpoise breeding area; Specifically, the arc-shaped wave-breaking dike line, the front edge line of the cage and the outer edge line of the floating island root curtain in the finless porpoise breeding area were first geometrically identified and the corridor mask area was generated based on this. The above three ecological boundaries jointly defined the boundary between the inner restricted water area and the outer exchange water area, presenting a nearly parallel and locally equidistant long strip structure, forming a weak exchange diversion belt and separation curve; based on this, the corridor mask area was determined by spatial equidistant judgment and boundary envelope reconstruction. As the only set of control objects, it was used to carry the scope of three-window division, monitoring point arrangement and whitelist execution, and synchronously output geometric parameters.
[0020] In the implementation of the present invention, the corridor mask area is generated based on the arc embankment line, the front edge line of the cage and the outer edge line of the floating island root curtain in the finless porpoise breeding area, including: The first boundary curve, the second boundary curve and the third boundary curve of the finless porpoise breeding area are generated according to the two-dimensional coordinate sequences of the arc embankment line, the front edge line of the cage and the outer edge line of the floating island root curtain respectively; Specifically, the arc-shaped embankment line refers to the boundary line of the hydraulic protection structure arranged in an arc shape outside the finless porpoise breeding area, which is mainly used to weaken external wave energy and form a stable water environment; the cage leading edge line refers to the front boundary line of the outermost surface of the cage structure in the breeding facility used to limit the activity range of the finless porpoise, which is arranged towards the mainstream direction or the outlet direction; the floating island root curtain outer edge line refers to the outer edge boundary line formed by the plant roots or artificial curtains hanging underwater in the ecological floating island device, which has certain ecological purification and slow-flow functions.
[0021] Specifically, the coordinate sequence of the curved embankment line reflects the projection direction of the embankment on the plane, the coordinate sequence of the front edge line of the cage reflects the arrangement trajectory of the front of the cage group, and the coordinate sequence of the outer edge line of the floating island root curtain represents the boundary of the floating island root system coverage range. Data preprocessing is performed on the above three types of coordinate sequences to eliminate outliers caused by measurement errors and retain valid coordinate points that can truly reflect the actual direction of each boundary. For the processed curved embankment line coordinate sequence, a polynomial curve fitting method is used. According to the distribution density and trend of the coordinate points, the appropriate polynomial order is selected. The fitting parameters are solved by the least squares method to generate a continuous and smooth first boundary curve that can accurately represent the spatial form of the curved embankment line. For the coordinate sequence of the front edge line of the cage, considering the regularity of the cage arrangement, a combination of piecewise linear fitting and curve smoothing is adopted. First, adjacent coordinate points are connected by straight lines to form a preliminary broken line. Then, the corners of the broken line are subjected to arc transition processing to generate a second boundary curve that can reflect the overall direction of the front edge of the cage. For the coordinate sequence of the outer edge of the floating island root curtain, since the root distribution may have certain irregularities, the B-spline curve fitting method is adopted. By setting the node vectors and spline order, the fitting curve can better fit each coordinate point while ensuring the continuity and smoothness of the curve, thus generating the third boundary curve representing the outer edge of the floating island root curtain.
[0022] Get each candidate grid point of the finless porpoise breeding area; Specifically, candidate grid points refer to discrete sampling points in a regular grid generated in a unified projection coordinate system according to a preset spatial resolution within the finless porpoise breeding area. These points serve as the basic units for subsequent judgment and screening, covering the entire study area and providing specific two-dimensional coordinate information for each point.
[0023] Calculating the minimum Euclidean distances between the candidate grid point and the first boundary curve, the second boundary curve, and the third boundary curve, respectively, to obtain a first minimum Euclidean distance, a second minimum Euclidean distance, and a third minimum Euclidean distance; Specifically, the first boundary curve, the second boundary curve and the third boundary curve are represented by line segments and the vertex sequence and segment vector registration are completed; then, the candidate grid point is used as the processing unit, and each line segment of the corresponding boundary curve is traversed in turn, and the distance value from the point to each line segment is obtained by calculating the Euclidean distance from the point to the line segment. The calculation method is to perform a scalar projection on the vector connecting the point and the starting point of the line segment to obtain the projection ratio along the line segment direction and truncate it within the range of zero to one. When the projection position falls inside the line segment, the distance from the point to the projection point is taken. When the projection position crosses the boundary, the distance from the point to the nearest endpoint is taken. After the traversal is completed, the minimum value is taken as the minimum Euclidean distance from the candidate grid point to the boundary curve; the above process is repeated for the first boundary curve, the second boundary curve and the third boundary curve respectively to obtain the first minimum Euclidean distance, the second minimum Euclidean distance and the third minimum Euclidean distance.
[0024] Performing a pairwise minimum distance deviation operation on the first minimum Euclidean distance, the second minimum Euclidean distance, and the third minimum Euclidean distance to obtain three sets of distance difference values; Specifically, for each candidate grid point, a pairwise deviation operation is performed on the first minimum Euclidean distance, the second minimum Euclidean distance, and the third minimum Euclidean distance corresponding to the candidate grid point. The first minimum Euclidean distance and the second minimum Euclidean distance are selected in turn, and the absolute difference between the two is calculated. The difference reflects the difference in distance from the candidate grid point to the first boundary curve and the second boundary curve; the first minimum Euclidean distance and the third minimum Euclidean distance are selected again, and the absolute difference between the two is calculated to reflect the difference in distance from the candidate grid point to the first boundary curve and the third boundary curve; finally, the second minimum Euclidean distance and the third minimum Euclidean distance are selected, and the absolute difference between the two is calculated to characterize the difference in distance from the candidate grid point to the second boundary curve and the third boundary curve. Through the above three pairwise operations, three sets of distance difference value sets consisting of three absolute differences are obtained. Each set of differences is used to subsequently determine whether the candidate grid point meets the equidistant distribution characteristics of the three boundary curves, providing a quantitative basis for the accurate identification of the corridor mask area.
[0025] Perform maximum deviation extraction on the three sets of distance difference values to obtain the maximum distance difference of the candidate grid points; Specifically, for each candidate grid point, the absolute values of the three sets of distance difference values are extracted from the corresponding three sets of distance difference values, and then the one with the largest value is selected as the maximum distance difference of the candidate grid point, and the maximum difference is used as an indicator to evaluate whether the point is in the local equidistant area of the three boundary curves; the extraction process can be implemented by point-by-point comparison or based on a vectorized sorting function to improve batch processing efficiency; the maximum distance difference result and the corresponding candidate grid point coordinate information together constitute the input data set for subsequent mask area screening.
[0026] If the maximum distance difference is less than or equal to the preset deviation threshold, the candidate grid point is determined to be a corridor grid point; otherwise, the candidate grid point is discarded; Specifically, a preset deviation threshold is used to measure the symmetry and stability of candidate grid points relative to the three boundary curves. If a candidate point has a large deviation from the minimum Euclidean distance between the three boundaries, it indicates that its position is off the central axis of the corridor or is located in an irregular boundary area, lacking good diversion or control area characteristics. By eliminating these points with excessive distance differences, valid grid points located in the area with approximately equal distances between the three lines and parallel structures can be effectively screened out, thereby constructing a weak exchange corridor area that meets the control requirements and improving the accuracy and physical consistency of the spatial domain division of the entire intelligent control system.
[0027] Specifically, the preset deviation threshold is based on the requirement for equidistant characteristics of three lines within the finless porpoise breeding area: the curved embankment line, the front edge of the cage, and the outer edge of the floating island root curtain. Its value is determined by comprehensively considering the spatial distribution patterns of these three boundary curves in actual breeding environments, measurement accuracy, and the physical characteristics of weak exchange corridors. Specifically, this is achieved through multiple field measurements of the three boundaries of the target breeding area, statistical analysis of the distance deviation range between the three lines, and the requirement for equidistant characteristics of the narrow waters that the corridor mask area must meet. Finally, a critical value is determined through experimental calibration or reference to empirical data from similar finless porpoise breeding environments.
[0028] The spatial boundary envelope of all corridor grid points is reconstructed to obtain the corridor mask area.
[0029] Specifically, the coordinates of all corridor grid points are collected, and the edge points are extracted after clustering and denoising. They are sorted in spatial order and connected through curve fitting. The closed polygonal area is the corridor mask area, which defines the narrow water area that meets the three-line equidistant characteristics and provides a spatial boundary for subsequent regulation.
[0030] S2. Divide the corridor mask area into an entrance window area, a core window area, and an exit window area, calculate the free ammonia ratio based on real-time water quality data of the core window area, and determine the control status based on the free ammonia ratio and the dissolved oxygen values of the entrance window area and the exit window area; In the implementation of the present invention, the entrance window area, the core window area and the exit window area of the corridor mask area are divided, including: Perform normalized length transformation on the dominant direction axis of the corridor mask area to obtain a standardized length axis; Specifically, the dominant direction axis coordinate sequence of the corridor mask area is first extracted, and the curve arc length accumulation calculation is performed based on the sequence to obtain the total length of the axis; then the axis is parameterized by arc length, and each axis point is converted into a standardized parameter value according to the ratio of its cumulative arc length along the curve to the total length, and the parameter value is uniformly distributed between zero and one; then the axis coordinates are resampled according to the standardized parameter, and a standardized point set with equal proportional intervals is calculated through the interpolation algorithm, thereby generating an axis that has been normalized in the length dimension.
[0031] The corridor mask area is equally divided into the entrance window area, the core window area and the exit window area according to the standardized length axis; Specifically, first, the arc length parameter t is established on the obtained standardized length axis, and its value range is 0 to 1, and is determined in an equidistant manner. Equal points and ,in Equal to one third, Equal to two-thirds, and then the intersection section of the axis and the corridor mask area is divided into three sections from the starting point to the end point. The corresponding first section is designated as the entrance window area. to The corresponding middle section is divided into the core window area. The last segment corresponding to 1 is divided into the exit window area; during the division process, an equal-width section perpendicular to the local tangential direction is constructed for each axial section, and the intersection with the mask boundary is calculated to obtain the precise boundary polygon of each window area, ensuring the geometric closure and area integrity of the regional segmentation.
[0032] Composite monitoring points are arranged in the core window area, and basic water quality monitoring points are arranged in the entrance window area and exit window area.
[0033] Specifically, the core window area, located in the middle of the corridor, is a key location for water exchange and ecological regulation. Multiple factors, including hydrodynamics, dissolved oxygen, bait density, and biological behavior, are highly coupled here. Therefore, it is necessary to deploy composite monitoring points that can simultaneously collect multidimensional data on water quality, hydrodynamics, biology, and the environment to fully understand the ecological dynamics of the core area. The entrance and exit windows primarily serve as channels for exchange between external water and aquaculture water, with monitoring focusing on the input and output of water quality parameters. Therefore, only basic water quality monitoring points are required to meet the monitoring needs of boundary water quality changes, thereby achieving optimal allocation of monitoring resources and efficient environmental regulation.
[0034] Specifically, the dominant direction axis refers to the central curve that extends through the geometric center of the corridor mask area and reflects the dominant propagation direction of the water flow and the main line of the spatial morphology, which is used to guide regional division and parameterized calculations; the entrance window area is a segmented space located upstream or at the starting end of the corridor mask area. Its main function is to guide external water bodies into the aquaculture area and conduct preliminary water quality exchange; the core window area is the middle part of the corridor mask area. The hydrodynamics and ecological processes are most concentrated and complex here. It is a key position for water body regulation and ecological monitoring; the exit window area is located downstream or at the end of the corridor mask area. It is mainly responsible for the excretion of water outflow and the output of water quality after the exchange is completed.
[0035] In the implementation of the present invention, the free ammonia ratio is calculated based on the real-time water quality data of the core window area, and the control state is determined according to the free ammonia ratio and the dissolved oxygen values of the inlet window area and the outlet window area, including: The free ammonia ratio is calculated based on the average water pH value and average water temperature of the real-time water quality data in the core window area. The calculation formula for the free ammonia ratio is as follows: ; Where, is the free ammonia ratio in the core window area, is the average water pH value, is the average water temperature, is The negative logarithmic equilibrium constant of the reaction of ammonium ion to ammonia in water under ; Specifically, the average water pH value represents the overall level of water acidity and alkalinity within a certain range and is the average of pH measurements taken at multiple monitoring points or over time periods. The average water temperature represents the average temperature of the water within the same range, reflecting the thermodynamic state of the environment and significantly influencing chemical reactions and biological activity. The negative logarithmic equilibrium constant for the ionization reaction of ammonium to ammonia in water is used to describe the chemical equilibrium relationship between ammonium ions and free ammonia. This constant adjusts with temperature and determines the ratio of ammonium ions converted to free ammonia under varying pH and temperature conditions.
[0036] Specifically, ammoniacal nitrogen in water exists in two forms: free ammonia and ammonium ions. The ratio of the two forms is in a dynamic equilibrium, influenced by the water's pH and temperature. The pH value influences this equilibrium by changing the hydrogen ion concentration in the water. When the pH value increases, the hydrogen ion concentration decreases, the equilibrium shifts toward free ammonia, and the free ammonia ratio increases. Conversely, when the pH value decreases, the free ammonia ratio decreases. Temperature changes this ratio by affecting the ammonia dissociation equilibrium constant. Increasing temperature increases the equilibrium constant, promoting the conversion of ammonium ions to free ammonia and increasing the free ammonia ratio. Decreasing temperature inhibits this conversion, decreasing the free ammonia ratio. Therefore, based on these two parameters and the ammonia dissociation equilibrium law, the free ammonia ratio can be calculated.
[0037] Calculate the absolute difference between the dissolved oxygen value in the inlet window area and the dissolved oxygen value in the outlet window area; If the absolute difference is less than or equal to the preset difference threshold, and the dissolved oxygen values of the inlet window area and the outlet window area are both greater than the dissolved oxygen value of the core window area, the anisotropic unobstructed flag of the core window area is assigned a value of 1; otherwise, the anisotropic unobstructed flag is assigned a value of 0; Specifically, the dissolved oxygen value refers to the concentration of dissolved oxygen per unit volume of water. It reflects the water's ability to dissolve and retain oxygen, directly affecting processes such as biological respiration and organic matter decomposition. Its level determines the vitality and self-purification capacity of the aquatic environment. The assigned value of the Asymmetric Unobstructed Flag characterizes the state of water flow and oxygen distribution within the corridor. A value of 1 indicates abnormal water consumption or abnormal bidirectional flow characteristics in the core area, indicating an anomaly in the hydrodynamic process or oxygen transport. A value of 0 indicates that the water flow and oxygen distribution remain physically stable and normal.
[0038] Specifically, when the difference in dissolved oxygen between the inlet and outlet windows is small and both concentrations are higher than those in the core window, this indicates that dissolved oxygen consumption occurred during the passage of the water through the core window, consistent with the typical characteristics of water flowing from the two ends to the middle section and undergoing biological metabolism or organic matter decomposition in the core area. Therefore, the anisotropic unobstructed flag is set to 1 to indicate normal bidirectional exchange or symmetrical oxygen supply. If this condition is not met, it indicates an abnormality in the water circulation or oxygen supply process, such as stagnant water, obstructed unidirectional flow, or abnormal oxygen consumption. Therefore, the anisotropic unobstructed flag is set to 0.
[0039] If the dissolved oxygen value in the core window area is lower than the preset minimum oxygen limit threshold, or the free ammonia ratio in the core window area is higher than the preset toxicity reference critical value, or the anisotropic patency flag is assigned a value of 1, the control state of the core window area will be set to the toxicity limit state. If only the dissolved oxygen value in the core window area is lower than the preset reference dissolved oxygen value, the control state of the core window area will be set to the warning state. When any of the above two conditions is not met, it means that the dissolved oxygen in the core window area is within the normal range, the free ammonia ratio is lower than the toxicity reference critical value, and the anisotropic patency flag does not show abnormal hydrodynamic characteristics. At this time, the water environment is judged to be stable and without significant risks. Therefore, in this case, the control state of the core window area will be maintained or set to normal, and there is no need to initiate additional control measures. Only routine monitoring is required.
[0040] Specifically, the preset minimum oxygen threshold, the preset toxicity reference critical value, and the preset reference dissolved oxygen value are all based on the physiological characteristics of the finless porpoise and the safety of the breeding environment; the minimum oxygen threshold is determined by experimentally measuring the physiological stress response of the finless porpoise under different dissolved oxygen concentrations, combined with its respiratory and metabolic needs, to determine the lower limit of dissolved oxygen that can maintain the normal life activities of the finless porpoise; the toxicity reference critical value is based on the toxic effect experiment of free ammonia on the finless porpoise, analyzing the behavior and health effects of the finless porpoise under different free ammonia ratios, and determining the highest ratio that will not cause poisoning risk; the reference dissolved oxygen value comprehensively considers the self-purification capacity of the breeding water body, the oxygen consumption rate of the finless porpoise activities, combined with the water quality control experience of similar finless porpoise breeding areas, and the appropriate range of dissolved oxygen in the water quality standard. It is determined after multiple experimental calibrations as the critical value for judging whether the water body needs to initiate early warning control.
[0041] Specifically, when the dissolved oxygen value in the core window area is lower than the minimum oxygen threshold, or the free ammonia ratio is higher than the toxicity reference critical value, or the anisotropic flow flag is equal to 1, its control state is set to the toxicity-limited state. This is to promptly initiate protective measures when potential toxicity risks or abnormal hydrodynamic signs appear in the environment. Insufficient dissolved oxygen will cause the finless porpoise and the ecosystem to be in a state of hypoxia and stress, and a high free ammonia ratio will directly increase the toxicity hazard of ammonia. A non-isotropic flow flag of 1 indicates that the water body has abnormal consumption or exchange characteristics in the core area. Combining these key indicators, once any condition is triggered, it can be determined that the water environment is approaching or entering a harmful state. By setting the toxicity-limited state, the system enters a strict control mode, thereby timely reducing the toxicity risk and ensuring the ecological safety of the aquaculture waters.
[0042] Specifically, when the dissolved oxygen value in the core window area is lower than the preset reference dissolved oxygen value, the control state is set to the early warning state. This is to issue a risk signal in advance when the water body has not yet reached severe hypoxia but has shown a downward trend in oxygen content. The reference dissolved oxygen value, as a critical pre-threshold, can sensitively reflect early changes in the water environment. A value lower than this value indicates that the oxygen supply has begun to be insufficient but has not yet caused acute harm. By setting the early warning state, the system can take mild control or monitoring enhancement measures in advance to avoid further deterioration of the environment and prevent the water quality from developing from slight fluctuations to severe hypoxia, thereby achieving early intervention in water body risks and proactive protection of aquaculture safety.
[0043] Generally speaking, the core window area, located in the middle of the corridor, is the area with the most intensive water exchange and biological activity. Real-time monitoring of the free ammonia ratio can quickly reflect the nitrogen metabolic load and potential toxicity risks of the aquaculture environment. The inlet and outlet window areas are located at the input and output ends of the water body, respectively. By monitoring the dissolved oxygen level, the oxygen supply status and overall circulation efficiency of the water body can be determined. The combined analysis of these three types of information can not only accurately identify abnormal changes in the hydrodynamics and water quality of the aquaculture system, but also provide a decision-making basis for the intelligent control system, thereby achieving early warning of environmental risks and maintaining the stability of the aquaculture ecosystem.
[0044] S3. Formulate implementation regulations for corridor mask areas based on regulatory status; In the implementation of the present invention, the implementation regulations of the corridor mask area are formulated according to the control status, including: If the control state is the poison-limiting state, the implementation regulations include allowing small-dose pure oxygen supplementation and lateral water supplementation in the core window area, not allowing high-flow gas disturbance and corridor flow in the corridor mask area, and using the difference between the preset reference dissolved oxygen value and the dissolved oxygen value of the core window area as the target oxygen increase in the core window area.
[0045] Specifically, small-dose pure oxygen supplementation refers to slowly injecting a small amount of high-concentration pure oxygen gas into the water body to gently increase the local dissolved oxygen level and avoid severe oxidation or biological stress. Horizontal water replenishment refers to the introduction of water from lateral or external water sources into the core area of the corridor to optimize water quality by diluting pollutants and improving water exchange. High-velocity gas disturbance refers to the use of a large amount of gas to be injected into the water body at high speed to form strong agitation to quickly oxygenate or mix the water body, but it is easy to cause hydrodynamic imbalance and sediment disturbance. Corridor flow promotion refers to the use of mechanical or hydraulic means to promote large-scale flow of water along the corridor direction to enhance water circulation and exchange, but it may cause environmental mutations or finless porpoise stress under sensitive conditions.
[0046] Specifically, if the control state is a toxicity-limited state, it means that the core window area may have too low dissolved oxygen, too high a proportion of free ammonia, or a significant risk of water toxicity. At this time, precise and low-disturbance control measures are required. Small-dose pure oxygen supplementation is allowed in the core window area in order to gradually increase the dissolved oxygen level and alleviate the hypoxic pressure while avoiding severe disturbance of the water body; lateral water supplementation is allowed to dilute locally accumulated pollutants through gentle water exchange and reduce the concentration of toxic substances. High-velocity gas disturbance and corridor flow are not allowed in the corridor mask area because high-velocity disturbance may cause sediment suspension, diffusion of toxic substances, or destroy the stratification balance of the water body, aggravate the deterioration of water quality in the core window area, and may also cause stress to the finless porpoise. The difference between the preset reference dissolved oxygen value and the dissolved oxygen value in the core window area is used as the target oxygen increase in the core window area. It is possible to quantify the oxygen supplementation demand, ensure the accuracy of the oxygen supplementation operation, and avoid insufficient or excessive oxygen supplementation.
[0047] If the control status is the warning status, the implementation of the regulations includes: allowing low-pressure air ventilation or low-volume air aeration to the core window area, and suspending corridor promotion behavior in the corridor mask area.
[0048] Specifically, low-pressure air aeration involves slowly delivering air into the water at a relatively low pressure, causing the bubbles to rise slowly and gradually release oxygen, thereby increasing the dissolved oxygen content without causing significant disturbance. Low-volume aeration, on the other hand, involves aeration with relatively small air volumes. By controlling the air input and bubble diffusion rate, this achieves gentle oxygen replenishment and slight water agitation, helping to improve oxygen distribution in the water without disrupting ecological stability.
[0049] Specifically, if the control status is a warning state, it means that although the dissolved oxygen in the core window area has not reached the dangerous threshold, it is lower than the reference value, there is a potential risk, and toxicity indicators such as the free ammonia ratio have not exceeded the standard. At this time, low-pressure air ventilation or low-volume air aeration is allowed in the core window area because such operations can supplement oxygen in a gentle way and gradually increase the dissolved oxygen level, while avoiding violent mixing of water bodies caused by high-flow gas disturbances, and preventing a rapid increase in pH values leading to a sudden increase in the free ammonia ratio. The suspension of corridor push flow in the corridor mask area is because the push flow may cause excessive exchange of water bodies in the core window area with water bodies in other areas, spreading local potential risks to a larger area, and the disturbance caused by the push flow may cause unnecessary stress responses to the finless porpoises.
[0050] S4. Adjust the water supply in the core window area according to the implementation regulations, and assign the normal control mark of the corridor mask area according to the result of the water supply adjustment; In the implementation of the present invention, water supply is adjusted in the core window area according to the implementation regulations, and the normal control flag of the corridor mask area is assigned according to the result of the water supply adjustment, including: If the control state corresponding to the implementation regulations is the toxicity-limited state, the volume of pure oxygen gas is calculated according to the target oxygen increase and the oxygen transfer rate law. Based on the volume of pure oxygen gas, a small dose of pure oxygen is supplemented to the core window area. The normal water supply flow is calculated, and the core window area is laterally supplemented with water based on the normal water supply flow. The calculation formula for the normal water supply flow is as follows: ; in, is the normal replenishment flow, is the flow coefficient, is the effective water flow area, is the acceleration due to gravity, is the height difference of the liquid level on both sides of the water structure; Specifically, the formula The calculation of normal water flow is based on the orifice outflow principle in hydraulics. The formula regards the liquid flow as the liquid level difference. The process of converting gravitational potential energy into kinetic energy under driving, It indicates the theoretical flow rate of liquid under the action of height difference. is the effective water-passing area through which the fluid passes, reflecting the size of the flow cross section. The flow coefficient is used to correct for deviations in actual flow due to viscosity, contraction, and energy loss. By multiplying the corrected flow velocity by the water-passing area, the volume flow rate passing through the cross section per unit time, i.e., the normal replenishment flow rate, can be accurately calculated.
[0051] Specifically, when the control state is the toxicity-limiting state, the target oxygen increase in the core window area is first converted into the required dissolved oxygen mass increment, and the total required dissolved oxygen mass is determined based on the relationship between the water volume and the dissolved oxygen concentration change; then, based on the law of oxygen transfer rate in water, combined with the solubility of oxygen in water, the mass transfer coefficient and the gas-liquid contact efficiency, a gas-liquid transfer equation is established, and the required pure oxygen dissolution amount is obtained by calculating the product of the transfer rate and the action time; then, based on the density and oxygen content of pure oxygen gas under standard conditions, the required dissolved oxygen mass is converted into the required pure oxygen gas volume; a precision control device is used to slowly inject pure oxygen into the core window area in small doses to ensure that the oxygen is fully dissolved and to avoid local oversaturation that causes biological stress; according to the calculated normal water replenishment flow rate, the lateral water replenishment device of the core window area is opened, so that the replenishment water slowly enters the core window area along the normal direction to complete the horizontal water replenishment operation.
[0052] If the control state corresponding to the execution regulations is the warning state, low-pressure air is introduced or low-volume air is aerated into the core window area; Specifically, when the core window area is judged to be in a warning state, the target oxygen increase amount is first determined based on the current dissolved oxygen gap, and a low-pressure air aeration or low-volume air aeration plan is selected. By adjusting the valve control system, air is slowly injected into the water body at low pressure or low flow through a microporous diffuser, forming small bubbles, promoting the gradual dissolution of oxygen and avoiding severe disturbances. During the aeration process, the dissolved oxygen concentration is monitored in real time, and the air supply rate is dynamically adjusted based on feedback to ensure gas-liquid transfer efficiency and water stability. After the dissolved oxygen reaches the reference value, the air supply is gradually stopped.
[0053] When the water supply is completed, the updated dissolved oxygen value, updated average water pH value and updated average water temperature of the core window area are obtained; Specifically, after the water supply is adjusted, multiple sets of monitoring equipment preset in the core window area are activated, among which dissolved oxygen sensors, pH sensors, and temperature sensors are respectively arranged at different monitoring points in the core window area. After the sensors have stabilized their data collection, the monitoring values of all dissolved oxygen sensors are read and averaged to serve as the updated dissolved oxygen value of the core window area; the monitoring data of each pH sensor are collected to calculate the updated average water pH value of the core window area; the monitoring results of each temperature sensor are summarized and averaged to serve as the updated average water temperature of the core window area. These data can comprehensively reflect the water quality status of the core window area after the water supply adjustment, and provide a basis for subsequent judgment of whether the water quality meets the safety standards and evaluation of the regulation effect.
[0054] Calculate the updated free ammonia ratio based on the updated average water pH value and the updated average water temperature; Specifically, the negative logarithmic equilibrium constant for the ionization reaction of ammonium ions to ammonia in the water body at the updated average water temperature is obtained by substituting the updated average water temperature into an empirical temperature correction formula. This formula, derived from experimentally measured thermodynamic parameters, describes the relationship between the equilibrium constant and temperature, and adjusts the constant value under standard conditions using a temperature correction term. The calculation uses Celsius or absolute temperature as input, combined with known reference constants and temperature sensitivity coefficients, to determine the negative logarithmic equilibrium constant under the corresponding temperature conditions. The updated free ammonia ratio is then calculated using the formula for calculating the free ammonia ratio in the above process.
[0055] If the updated dissolved oxygen value exceeds the preset reference dissolved oxygen value, and the updated free ammonia ratio is less than the preset toxicity reference critical value, and the updated average water pH value is within the safe range, the normal control flag is assigned a value of 1; otherwise, the water supply time is set, and the water supply to the core window area continues. After the water supply time arrives, the updated dissolved oxygen value, updated average water pH value and updated average water temperature of the core window area are re-obtained, and the updated free ammonia ratio is recalculated based on the above parameters, and the assignment process of the normal control flag is repeated until the water environment meets the set safety conditions or reaches the maximum supply cycle.
[0056] Specifically, if the updated dissolved oxygen value exceeds the preset reference dissolved oxygen value, it means that the small-dose pure oxygen supplementation has had the effect of increasing dissolved oxygen; if the updated free ammonia ratio is less than the preset toxicity reference critical value, it means that the horizontal water replenishment has effectively diluted the toxic substances and the toxicity risk is under control; and if the updated average water pH value is within the safe range, it means that the current water quality is stable and there is no risk of drastic fluctuations. These three conditions together indicate that the regulatory measures under the toxicity limit state have achieved the expected goals and the water quality risks are effectively controlled. Therefore, the normal regulation flag is assigned a value of 1 to clarify the effectiveness of the current regulatory measures.
[0057] Specifically, the normal control flag assignment is used to indicate whether the water body in the core window area has returned to normal after regulation. A value of 1 indicates sufficient dissolved oxygen, low ammonia toxicity, stable pH, and a safe environment.
[0058] S5. Calculate the initial push flow rate based on the geometric parameters of the corridor mask area and the normal control flag, and perform initial push flow reduction control on the core window area according to the initial push flow rate.
[0059] In the implementation of the present invention, the initial flow rate is calculated based on the geometric parameters of the corridor mask area and the normal control flag, including: If the normal control flag is 1, the average width and average water depth in the geometric parameters are obtained; The initial flow rate is calculated based on the average width, average water depth and preset flow rate.
[0060] Specifically, the average width and average water depth parameters of the corridor mask area are first obtained, and the effective flow cross-sectional area is calculated by multiplying the two. Then, combined with the preset plug flow velocity, it is multiplied by the cross-sectional area to obtain the theoretical flow value. On this basis, a correction coefficient is introduced to consider factors such as water wall friction, local shrinkage and energy loss. The correction coefficient is obtained through experimental calibration or empirical formula. Finally, the corrected flow value is output as the initial plug flow flow.
[0061] Specifically, the average width refers to the characteristic width obtained by taking the arithmetic average of multiple cross-sectional widths along the dominant direction axis of the corridor mask area, which is used to characterize the lateral scale of the water body; the average water depth is the average result of the water depth values of multiple measuring points in the same area, reflecting the vertical scale of the water body; the preset flow velocity is the water flow velocity parameter set in advance by the control system according to the hydrodynamic requirements, which is used to drive the water body in the corridor to produce directional flow; the initial flow rate is the product of the cross-sectional area calculated based on the average width and average water depth and the preset flow velocity, and the initial flow volume rate of the water body obtained after correction is the benchmark flow in the startup stage of corridor flow control.
[0062] In the implementation of the present invention, the core window area is subjected to the initial push flow decreasing control according to the initial push flow rate, including: Start pushing the flow to the core window area according to the initial push flow rate; If the safety maintenance criterion of the initial push flow process is always met during the initial push flow process, the initial push flow rate is gradually reduced according to a fixed ratio; otherwise, the initial push flow is terminated and the process returns to S4.
[0063] Specifically, the calculated initial flow rate is first input into the flow control device, and the water is uniformly injected into the core window area at a set flow rate through the speed regulating pump and the diversion structure to start the initial flow process; during the flow operation, the dissolved oxygen, flow rate, pressure, finless porpoise activity response and boundary water level of the water body are monitored in real time, and the monitoring data are continuously compared according to the safety maintenance criterion to ensure that all parameters are within the safety range; if the safety maintenance criterion is always met during the entire initial flow process, the flow rate is gradually reduced in stages according to a preset fixed ratio to achieve a smooth transition and energy optimization; if any parameter triggers an abnormal safety criterion during the monitoring process, the flow device operation is immediately terminated, the initial flow process is stopped, and the control strategy is re-executed back to step S4 to ensure the water environment and biological safety.
[0064] Specifically, if the safety maintenance criteria are always met during the initial flow-pushing process, it means that the flow-pushing process has not caused risks such as water quality parameters exceeding the standard or biological stress. At this time, gradually reducing the initial flow-pushing flow rate at a fixed ratio can avoid excessive disturbance caused by continuous high-flow flow-pushing, so that the water flow can smoothly transition to a stable state, which is in line with the principle of gradual regulation to ensure safety; if the criteria are not met, it means that the flow-pushing process has caused potential risks. Terminating the flow-pushing process and returning to S4 can timely curb the spread of risks, and by re-executing the previous steps to adjust the strategy, it can prevent adverse effects on the water environment and organisms.
[0065] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.
Claims
1. A method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring, characterized in that: The steps include: S1. Generate corridor mask area based on the arc embankment line, cage front edge line and floating island root curtain outer edge line of the finless porpoise breeding area; S2. Divide the corridor mask area into an entrance window area, a core window area, and an exit window area, calculate the free ammonia ratio based on real-time water quality data of the core window area, and determine the control status based on the free ammonia ratio and the dissolved oxygen values of the entrance window area and the exit window area; S3. Formulate implementation regulations for corridor mask areas based on regulatory status; S4. Adjust the water supply in the core window area according to the implementation regulations, and assign the normal control mark of the corridor mask area according to the result of the water supply adjustment; S5. Calculate the initial push flow rate based on the geometric parameters of the corridor mask area and the normal control flag, and perform initial push flow reduction control on the core window area according to the initial push flow rate.
2. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 1, characterized in that: The corridor mask area is generated based on the arc embankment line, the front edge line of the cage and the outer edge line of the floating island root curtain in the finless porpoise breeding area, including: The first boundary curve, the second boundary curve and the third boundary curve of the finless porpoise breeding area are generated according to the two-dimensional coordinate sequences of the arc embankment line, the front edge line of the cage and the outer edge line of the floating island root curtain respectively; Get each candidate grid point of the finless porpoise breeding area; Calculating the minimum Euclidean distances between the candidate grid point and the first boundary curve, the second boundary curve, and the third boundary curve, respectively, to obtain a first minimum Euclidean distance, a second minimum Euclidean distance, and a third minimum Euclidean distance; Performing a pairwise minimum distance deviation operation on the first minimum Euclidean distance, the second minimum Euclidean distance, and the third minimum Euclidean distance to obtain three sets of distance difference values; Perform maximum deviation extraction on the three sets of distance difference values to obtain the maximum distance difference of the candidate grid points; If the maximum distance difference is less than or equal to the preset deviation threshold, the candidate grid point is determined to be a corridor grid point; otherwise, the candidate grid point is discarded; The spatial boundary envelope of all corridor grid points is reconstructed to obtain the corridor mask area.
3. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 1, characterized in that: The entrance window area, core window area and exit window area of the corridor mask area are divided into: Perform normalized length transformation on the dominant direction axis of the corridor mask area to obtain a standardized length axis; The corridor mask area is equally divided into the entrance window area, the core window area and the exit window area according to the standardized length axis; Composite monitoring points are arranged in the core window area, and basic water quality monitoring points are arranged in the entrance window area and exit window area.
4. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 1, characterized in that: The free ammonia ratio is calculated based on the real-time water quality data of the core window area, and the control status is determined based on the free ammonia ratio and the dissolved oxygen values of the inlet and outlet window areas, including: Calculate the free ammonia ratio based on the average water pH value and average water temperature of the real-time water quality data in the core window area; Calculate the absolute difference between the dissolved oxygen value in the inlet window area and the dissolved oxygen value in the outlet window area; If the absolute difference is less than or equal to the preset difference threshold, and the dissolved oxygen values of the inlet window area and the outlet window area are both greater than the dissolved oxygen value of the core window area, the anisotropic unobstructed flag of the core window area is assigned a value of 1; otherwise, the anisotropic unobstructed flag is assigned a value of 0; If the dissolved oxygen value in the core window area is lower than the preset minimum oxygen limit threshold, or the free ammonia ratio in the core window area is higher than the preset toxicity reference critical value, or the anisotropic patency flag is assigned a value equal to 1, the control state of the core window area is set to the toxicity limit state. If only the dissolved oxygen value in the core window area is lower than the preset reference dissolved oxygen value, the control state of the core window area is set to the warning state.
5. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 4, characterized in that: Develop implementation regulations for corridor mask areas based on regulatory status, including: If the control state is the poison-limiting state, the implementation regulations include allowing small-dose pure oxygen supplementation and lateral water supplementation in the core window area, not allowing high-flow gas disturbance and corridor flow in the corridor mask area, and using the difference between the preset reference dissolved oxygen value and the dissolved oxygen value of the core window area as the target oxygen increase in the core window area. If the control status is the warning status, the implementation of the regulations includes: allowing low-pressure air ventilation or low-volume air aeration to the core window area, and suspending corridor promotion behavior in the corridor mask area.
6. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 5, characterized in that: Water supply is adjusted in the core window area according to the implementation regulations, and the normal control mark of the corridor mask area is assigned according to the result of water supply adjustment, including: If the control state corresponding to the implementation regulations is the toxicity-limited state, the volume of pure oxygen gas is calculated according to the target oxygen increase and the oxygen transfer rate law, and the core window area is oxygenated with a small dose of pure oxygen according to the volume of pure oxygen gas. The normal water supply flow rate is calculated, and the core window area is laterally replenished with water according to the normal water supply flow rate; If the control state corresponding to the execution regulations is the warning state, low-pressure air is introduced or low-volume air is aerated into the core window area; When the water supply is completed, the updated dissolved oxygen value, updated average water pH value and updated average water temperature of the core window area are obtained; Calculate the updated free ammonia ratio based on the updated average water pH value and the updated average water temperature; If the updated dissolved oxygen value exceeds the preset reference dissolved oxygen value, and the updated free ammonia ratio is less than the preset toxicity reference critical value, and the updated average water pH value is within the safe range, the normal control flag is assigned a value of 1.
7. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 1, characterized in that: The initial flow rate is calculated based on the geometric parameters of the corridor mask area and the normal control flag, including: If the normal control flag is 1, the average width and average water depth in the geometric parameters are obtained; The initial flow rate is calculated based on the average width, average water depth and preset flow rate.
8. The method for intelligently controlling the finless porpoise breeding environment based on water quality monitoring according to claim 1, characterized in that: The core window area is controlled by the initial push flow rate, including: Start pushing the flow to the core window area according to the initial push flow rate; If the safety maintenance criterion of the initial push flow process is always met during the initial push flow process, the initial push flow rate is gradually reduced according to a fixed ratio; otherwise, the initial push flow is terminated and the process returns to S4.