Intelligent tail water treatment system for aquaculture

Abstract

The invention provides an intelligent tail water treatment system for aquaculture, which is characterized in that according to the pond water circulation state of a culture pond, the pumping operation state of pumping tail water from the culture pond is adjusted, so that the tail water is pumped to a filter pond; visual monitoring is performed on the filtering equipment of the filtering tank to obtain the filtering state information of the filtering equipment, so that the filtering operation state of the filtering equipment is adjusted, the filtered tail water is transferred to the settling tank, and the filtering effectiveness and thoroughness of the tail water are improved; visual monitoring is carried out on the sedimentation tank, and water body characteristic information corresponding to a water body part capable of being transferred to the disinfection tank in the sedimentation tank is determined, so that the transfer operation state of transferring the water body part to the disinfection tank is adjusted, and sediment is prevented from being transferred to the disinfection tank; sampling and analyzing the tail water in the disinfection tank to obtain bacterial colony distribution characteristic information of the tail water, so as to adjust the conveying operation state of conveying the disinfection gas to the disinfection tank, and shorten the disinfection time while ensuring the global disinfection efficiency of the water body.

Description

Technical Field

[0001] The invention relates to the field of water treatment, and in particular to an intelligent tail water treatment system for aquaculture. Background Art

[0002] Aquaculture needs to ensure the water quality. During the breeding process, both feed and aquatic excrement will affect the water quality. In order to provide a clean water quality environment for aquatic products, the water body needs to be circulated, that is, clean water is input into the breeding pond and the water in the breeding pond is discharged. The water discharged from the breeding pond is usually called tail water. Tail water has the characteristics of high nutrition and low oxygen content. If the tail water is directly discharged to the external environment, it will cause pollution to the external environment. For this reason, the tail water needs to be purified before it can be discharged. The existing tail water treatment usually includes steps such as sedimentation and bacterial disinfection, but it does not fully and effectively purify the tail water and cannot effectively improve the water quality of the tail water. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent tail water treatment system for aquaculture, which adjusts the extraction operation state of the tail water from the aquaculture pond according to the water circulation state of the aquaculture pond, so as to extract the tail water to the filtration tank; visually monitors the filtration equipment of the filtration tank to obtain the filtration state information of the filtration equipment, so as to adjust the filtration operation state of the filtration equipment, transfer the tail water that has completed filtration to the sedimentation tank, and improve the filtration effectiveness and thoroughness of the tail water; also visually monitors the sedimentation tank to determine the water body characteristic information corresponding to the water body part in the sedimentation tank that can be transferred to the disinfection tank, so as to adjust the transfer operation state of the water body part to the disinfection tank, and avoid the sedimentation material from being transferred to the disinfection tank; then the tail water in the disinfection tank is sampled and analyzed to obtain the colony distribution characteristic information of the tail water, so as to adjust the delivery operation state of the disinfection gas to the disinfection tank, ensure the overall disinfection efficiency of the water body while shortening the disinfection time, and effectively improve the water quality of the tail water.

[0004] The present invention is achieved through the following technical solutions:

[0005] A tailwater intelligent treatment system for aquaculture, comprising:

[0006] A tail water extraction module, used for adjusting the extraction operation state of extracting tail water from the aquaculture pond according to the pool water circulation state of the aquaculture pond, so as to extract the tail water to the filtration pond;

[0007] A filtering visual recognition module is used to visually monitor the filtering device of the filtering pool to obtain a corresponding filtering dynamic image; and analyze the filtering dynamic image to determine the filtering status information of the filtering device;

[0008] A filtration control module, used to adjust the filtration operation state of the filtration device according to the filtration state information, so as to transfer the tail water after filtration to the sedimentation tank;

[0009] A sedimentation visual recognition module is used to visually monitor the sedimentation tank to obtain a dynamic image of the sedimentation inside the sedimentation tank; and to analyze the dynamic image of the sedimentation to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank;

[0010] A water body transfer control module, used for adjusting the transfer operation state of the water body portion to the disinfection tank according to the water body characteristic information;

[0011] A colony analysis module is used to sample and analyze the tail water in the disinfection tank to obtain colony distribution characteristic information of the tail water;

[0012] The colony elimination control module is used to adjust the delivery operation state of the disinfection gas to the disinfection pool according to the colony distribution characteristic information.

[0013] Optionally, the tail water extraction module is used to adjust the extraction operation state of extracting tail water from the breeding pond according to the pool water circulation state of the breeding pond, so as to extract the tail water to the filtering pool, including:

[0014] The input pool water flow and the output pool water flow inside the breeding pond are obtained, and based on the flow difference between the input pool water flow and the output pool water flow, the maximum flow value allowed for extracting tail water from the breeding pond when the water depth inside the breeding pond is maintained within a preset depth range is estimated; based on the maximum flow value, the extraction flow rate of the tail water extracted from the breeding pond is adjusted, so that the tail water is extracted to the filtration tank.

[0015] Optionally, the filtering visual recognition module is used to visually monitor the filtering device of the filtering pool to obtain a corresponding filtering dynamic image; and analyze the filtering dynamic image to determine the filtering state information of the filtering device, including:

[0016] Dynamically photographing the filtering equipment of the filtering pool to obtain a dynamic image of the filtering operation of the filtering equipment on the tail water; performing frame processing on the dynamic image of the filtering operation to obtain a plurality of filtering operation image frames;

[0017] The filtering operation image frame is identified and processed to obtain the average particle size value of impurities in the tail water after filtering by the filtering device; the average particle size value of impurities is compared with a preset particle size threshold value. If the average particle size value of impurities is greater than or equal to the preset particle size threshold value, it is determined that the filtering device has not effectively filtered the tail water; otherwise, it is determined that the filtering device has effectively filtered the tail water.

[0018] Optionally, the filtration control module is used to adjust the filtration operation state of the filtration device according to the filtration state information, so as to transfer the filtered tail water to the sedimentation tank, including:

[0019] When the filter device effectively filters the tail water, the filter pumping flow rate of the filter device on the tail water is kept unchanged, so as to transfer the filtered tail water to the sedimentation tank;

[0020] When the filtering device fails to effectively filter the tail water, the filtering pumping flow rate of the filtering device on the tail water is reduced, so that the filtered tail water is transferred to the sedimentation tank.

[0021] Optionally, the sedimentation visual recognition module is used to visually monitor the sedimentation tank to obtain a dynamic image of the sedimentation inside the sedimentation tank; and analyze the dynamic image of the sedimentation to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank, including:

[0022] Perform binocular photography on the sedimentation tank to obtain a dynamic binocular image of sedimentation inside the sedimentation tank; and generate a corresponding dynamic three-dimensional image of sedimentation based on the binocular parallax of the dynamic binocular image of sedimentation;

[0023] Analyze the dynamic three-dimensional image of sedimentation to obtain the top boundary contour feature information of the sediment in the water body of the sedimentation tank; based on the top boundary contour feature information of the sedimentation tank, determine whether the water body of the sedimentation tank is in a stable sedimentation state;

[0024] When the water in the sedimentation tank is in a stable sedimentation state, the water distribution range information corresponding to the water part inside the sedimentation tank that can be transferred to the disinfection tank is determined based on the top boundary contour feature information of the sediment.

[0025] Optionally, the water body transfer control module is used to adjust the transfer operation state of the water body portion to the disinfection pool according to the water body characteristic information, including:

[0026] The water extraction range of the water body portion to be transferred to the disinfection tank is determined based on the water body distribution range information; and the extraction flow rate of the water body portion is adjusted based on the changing state of the sediment top boundary contour feature information during the extraction process of the water body portion.

[0027] Optionally, the colony analysis module is used to sample and analyze the tail water in the disinfection pool to obtain colony distribution characteristic information of the tail water, including:

[0028] Distributed sampling and analysis are performed on the tail water at different positions inside the disinfection pool to obtain the colony concentration information corresponding to the tail water at all positions; the colony concentration information corresponding to the tail water at all positions is integrated and simulated to obtain the colony concentration distribution information of the global water body inside the disinfection pool.

[0029] Optionally, the colony analysis module performs distributed sampling analysis on tail water at different locations inside the disinfection tank to obtain colony concentration information corresponding to tail water at all locations, including:

[0030] Step S1, in a sterile environment, take a certain amount of the sample for detection into sterile water, shake it thoroughly until it is evenly mixed to make a sample solution, and use a 10-fold series of concentration gradient standards to make gradient dilutions on the sample solution and dispense it into different test tubes; inject or spread a certain amount of the dilution solution onto an agar plate, culture it under the temperature and time conditions fixed in the standard to obtain a colony plate, and count the number of colonies using an electronic auxiliary device; let N ci is the result of the ith colony plate count at the C concentration dilution multiple, then the mean colony count of the sample at the C concentration dilution multiple is:

[0031]

[0032] In the above formula (1), is the mean colony count of the sample at the C concentration dilution multiple; m is the number of colony plates at the C concentration dilution multiple; i is the colony plate number, which is an integer greater than or equal to 1 and less than or equal to m;

[0033] Step S2, according to the calculation result of the above step S1, calculate the number of colonies of the sample obtained by the C concentration dilution multiple, and the calculation formula is as follows:

[0034]

[0035] In the above formula (2), N c is the number of colonies obtained by diluting the sample by C concentration, where C is the dilution multiple;

[0036] Step S3, based on the calculation result of the above step S2, calculate the actual number of colonies in the sample, and the judgment process is as follows:

[0037] If only one dilution plate has colony counts within the preset count range, that is, only one N c If the value of is between 30 and 300, then the N c The value is the total number of colonies in the sample;

[0038] If the colony counts on two consecutive dilution plates are within the preset count range, there are two N c The value of is between 30 and 300, respectively denoted as N c1 and N c2 , then the actual number of colonies in the sample is:

[0039]

[0040] in and are the mean colony counts at dilution concentration C1 and dilution concentration C2, respectively, and the dilution concentration C1 is less than the dilution concentration C2;

[0041] If the number of colonies on all dilution plates is greater than 300, that is, all N c If all are greater than 300, the number of colonies on the plate with the highest dilution and concentration is taken as the actual number of colonies in the sample;

[0042] If the number of colonies on the plates of all dilutions is less than 30, that is, all N c If all are less than 30, the number of colonies on the plate with the highest dilution and the lowest concentration is taken as the actual number of colonies in the sample;

[0043] Then, according to the actual number of colonies, the colony concentration information corresponding to the tail water at all locations is obtained.

[0044] Optionally, the colony analysis module performs distributed sampling analysis on tail water at different locations inside the disinfection tank to obtain colony concentration information corresponding to tail water at all locations, including:

[0045] Step A1, photographing the tail water at each position to obtain a corresponding tail water image; visually identifying the tail water image to obtain the particle distribution position information of the colony in the tail water, and using the following formula (1), according to the edge position point of the particles formed by each colony, obtaining the average particle size of the particles formed by the colony at the corresponding position in the tail water in the image dimension,

[0046]

[0047] In the above formula (1), represents the average particle size of the particles formed by the ath colony in the tail water at the kth position in the image dimension; [X k_a (p),Y k_a (p)] represents the coordinate value of the pth edge position point of the particle formed by the ath colony in the tail water at the kth position; B represents the set of edge position points of the ath colony in the tail water at the kth position; max p∈B [X k_a(p)] represents the maximum value of the horizontal coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; max p∈B [Y k_a (p)] represents the maximum value of the vertical coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; min p∈B [X k_a (p)] represents the minimum value of the horizontal coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; min p∈B [Y k_a (p)] represents the minimum value of the ordinate among the edge position points of the particles formed by the ath colony in the tail water at the kth position;

[0048] Step A2, using the following formula (2), according to the position of the marked point in the tail water image at each position and the average particle size of the particles formed by each colony in the tail water in the image dimension, the actual particle size of each colony in the tail water at each position is obtained:

[0049]

[0050] In the above formula (2), D(k_a) represents the actual particle size of the ath colony in the tail water at the kth position; (x1, y1) represents the coordinate value of the first mark point in the tail water image at the kth position; (x2, y2) represents the coordinate value of the second mark point in the tail water image at the kth position; L represents the actual distance value between the first mark point and the second mark point;

[0051] Step A3, using the following formula (3), according to the actual particle size of each colony in the tail water at each location and the average colony number per unit area, the number of colonies in the tail water at each location is obtained:

[0052]

[0053] In the above formula (3), E(k) represents the number of colonies in the tail water at the kth position; S0 represents the unit area; E0 represents the average number of colonies per unit area; and A represents the total number of colonies in the tail water at the kth position.

[0054] Optionally, the colony elimination control module is used to adjust the delivery operation state of the disinfection gas to the disinfection pool according to the colony distribution characteristic information, including:

[0055] According to the colony concentration distribution information, the global water body inside the disinfection pool is divided into a number of low colony concentration water body sub-areas and a number of high colony concentration water body sub-areas; based on the average colony concentration values ​​of the low colony concentration water body sub-areas and the high colony concentration water body sub-areas respectively, the delivery flow rate and delivery duration of ozone to the low colony concentration water body sub-areas and the high colony concentration water body sub-areas are adjusted.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The intelligent tailwater treatment system for aquaculture provided in the present application adjusts the extraction operation state of the tailwater from the aquaculture pond according to the water circulation state of the aquaculture pond, so as to extract the tailwater to the filtration tank; visually monitors the filtration equipment of the filtration tank to obtain the filtration state information of the filtration equipment, so as to adjust the filtration operation state of the filtration equipment, transfer the tailwater that has completed filtration to the sedimentation tank, and improve the filtration effectiveness and thoroughness of the tailwater; visually monitors the sedimentation tank to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank, so as to adjust the transfer operation state of the water body part to the disinfection tank, and avoid the sedimentation material from being transferred to the disinfection tank; then the tailwater in the disinfection tank is sampled and analyzed to obtain the colony distribution characteristic information of the tailwater, so as to adjust the delivery operation state of the disinfection gas to the disinfection tank, ensure the overall disinfection efficiency of the water body while shortening the disinfection time, and effectively improve the water quality of the tailwater. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0059] Figure 1 A schematic structural diagram of an intelligent tailwater treatment system for aquaculture provided by the present invention. DETAILED DESCRIPTION

[0060] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0061] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0062] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0063] See also Figure 1 As shown, an embodiment of the present application provides an intelligent tailwater treatment system for aquaculture. The intelligent tailwater treatment system for aquaculture includes:

[0064] A tail water extraction module is used to adjust the extraction operation state of extracting tail water from the aquaculture pond according to the pool water circulation state of the aquaculture pond, so as to extract the tail water to the filtration pool;

[0065] A filtering visual recognition module is used to visually monitor the filtering device of the filtering pool to obtain a corresponding filtering dynamic image; and to analyze the filtering dynamic image to determine the filtering status information of the filtering device;

[0066] A filtration control module, used to adjust the filtration operation state of the filtration device according to the filtration state information, so as to transfer the tail water after filtration to the sedimentation tank;

[0067] A sedimentation visual recognition module is used to visually monitor the sedimentation tank to obtain a dynamic image of the sedimentation inside the sedimentation tank; and to analyze the dynamic image of the sedimentation to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank;

[0068] A water body transfer control module, used for adjusting the transfer operation state of the water body portion to the disinfection tank according to the water body characteristic information;

[0069] A colony analysis module is used to sample and analyze the tail water in the disinfection pool to obtain the colony distribution characteristic information of the tail water;

[0070] The colony elimination control module is used to adjust the delivery operation state of the disinfection gas to the disinfection pool according to the colony distribution characteristic information.

[0071] The beneficial effects of the above embodiments are as follows: the intelligent tailwater treatment system for aquaculture adjusts the extraction operation state of the tailwater from the aquaculture pond according to the water circulation state of the aquaculture pond, thereby extracting the tailwater to the filtration tank; visually monitors the filtration equipment of the filtration tank to obtain the filtration state information of the filtration equipment, thereby adjusting the filtration operation state of the filtration equipment, and transferring the tailwater that has completed filtration to the sedimentation tank, thereby improving the filtration effectiveness and thoroughness of the tailwater; visually monitors the sedimentation tank to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank, thereby adjusting the transfer operation state of the water body part to the disinfection tank, thereby avoiding the precipitated material from being transferred to the disinfection tank; then the tailwater in the disinfection tank is sampled and analyzed to obtain the colony distribution characteristic information of the tailwater, thereby adjusting the delivery operation state of the disinfection gas to the disinfection tank, thereby ensuring the overall disinfection efficiency of the water body while shortening the disinfection time, and effectively improving the water quality of the tailwater.

[0072] In another embodiment, the tail water extraction module is used to adjust the extraction operation state of extracting tail water from the aquaculture pond according to the pool water circulation state of the aquaculture pond, so as to extract the tail water to the filtration pond, including:

[0073] The input pool water flow and the output pool water flow inside the breeding pond are obtained, and based on the flow difference between the input pool water flow and the output pool water flow, the maximum flow value allowed for extracting tail water from the breeding pond when the water depth inside the breeding pond is maintained within a preset depth range is estimated; based on the maximum flow value, the extraction flow rate of the tail water extracted from the breeding pond is adjusted, so that the tail water is extracted to the filtration tank.

[0074] The beneficial effects of the above embodiments are as follows: in order to ensure that the water body inside the breeding pond can maintain a relatively stable dynamic equilibrium state during the process of extracting tail water from the breeding pond, the input pool water flow and the output pool water flow inside the breeding pond are obtained, and based on the flow difference between the input pool water flow and the output pool water flow, the maximum flow value allowed for extracting tail water from the breeding pond when the water body depth inside the breeding pond remains within a preset depth range is estimated, and then the extraction flow rate of tail water from the breeding pond is determined based on the maximum flow value, so that the extraction flow rate does not exceed the maximum flow value, thereby avoiding affecting the water volume in the breeding pond due to excessive extraction of tail water.

[0075] In another embodiment, the filtering visual recognition module is used to visually monitor the filtering device of the filtering pool to obtain a corresponding filtering dynamic image; and analyze the filtering dynamic image to determine the filtering state information of the filtering device, including:

[0076] Dynamically photographing the filtering device of the filtering pool to obtain a dynamic image of the filtering operation of the filtering device on the tail water; performing frame processing on the dynamic image of the filtering operation to obtain a plurality of filtering operation image frames;

[0077] The filtering operation image frame is identified and processed to obtain the average particle size value of impurities in the tail water after filtering by the filtering device; the average particle size value of impurities is compared with a preset particle size threshold value. If the average particle size value of impurities is greater than or equal to the preset particle size threshold value, it is determined that the filtering device does not effectively filter the tail water; otherwise, it is determined that the filtering device effectively filters the tail water.

[0078] The beneficial effect of the above embodiment is that the filtering device of the filter pool is dynamically photographed to obtain a dynamic image of the filtering operation of the filtering device on the tail water, so that the tail water filtered by the filtering device can be visually identified and analyzed, and the average particle size value of impurities inside the tail water after filtering by the filtering device can be obtained, thereby quantitatively identifying the water quality state of the tail water after filtering. The average particle size value of the impurities is then compared with the preset particle size threshold. If the average particle size value of the impurities is greater than or equal to the preset particle size threshold, it is judged that the filtering device has not effectively filtered the tail water; otherwise, it is judged that the filtering device has effectively filtered the tail water, which can provide a reliable basis for subsequent adjustment of the working state of the filtering device.

[0079] In another embodiment, the filtration control module is used to adjust the filtration operation state of the filtration device according to the filtration state information, so as to transfer the filtered tail water to the sedimentation tank, including:

[0080] When the filter device effectively filters the tail water, the filter pumping flow rate of the filter device on the tail water is kept unchanged, so that the filtered tail water is transferred to the sedimentation tank;

[0081] When the filter device fails to effectively filter the tail water, the filter pumping flow rate of the filter device on the tail water is reduced, so that the filtered tail water is transferred to the sedimentation tank.

[0082] The beneficial effect of the above embodiment is that when the filter device effectively filters the tail water, the filter pumping flow rate of the filter device for the tail water is kept unchanged, so that the tail water that has been filtered is transferred to the sedimentation tank, which can ensure the normal and stable operation of the filter device. When the filter device does not effectively filter the tail water, the filter pumping flow rate of the filter device for the tail water is reduced, so that the tail water that has been filtered is transferred to the sedimentation tank, which can increase the filtration retention time of the tail water in the filter device and improve the filtration efficiency and thoroughness of the filter device for the tail water.

[0083] In another embodiment, the sedimentation visual recognition module is used to visually monitor the sedimentation tank to obtain a dynamic image of the sedimentation inside the sedimentation tank; and analyze the dynamic image of the sedimentation to determine the water feature information corresponding to the water part inside the sedimentation tank that can be transferred to the disinfection tank, including:

[0084] Perform binocular photography on the sedimentation tank to obtain a dynamic binocular image of sedimentation inside the sedimentation tank; and generate a corresponding dynamic three-dimensional image of sedimentation based on the binocular parallax of the dynamic binocular image of sedimentation;

[0085] Analyze the sedimentation dynamic three-dimensional image to obtain the top boundary contour feature information of the sediment in the sedimentation tank water body; based on the top boundary contour feature information of the sediment, determine whether the sedimentation tank water body is in a sedimentation stable state;

[0086] When the water in the sedimentation tank is in a stable sedimentation state, the water distribution range information corresponding to the water part inside the sedimentation tank that can be transferred to the disinfection tank is determined based on the contour feature information of the top boundary of the sediment.

[0087] The beneficial effect of the above embodiment is that binocular photography is performed on the sedimentation tank to obtain a dynamic binocular image of the sedimentation inside the sedimentation tank, and a corresponding dynamic three-dimensional image of the sedimentation is generated. The top boundary contour feature information of the sediment inside the water body of the sedimentation tank (that is, the top boundary contour feature information of the sediment that has been deposited at the bottom of the sedimentation tank inside the sedimentation water body) is identified from the dynamic three-dimensional image of the sedimentation, so that the sediment accumulation amount and accumulation stability of the sedimentation tank water body can be identified. Based on the top boundary contour feature information of the sediment, it is determined whether the top boundary contour of the sediment is in a stable state within a preset time interval, thereby determining whether the water body of the sedimentation tank is in a stable sedimentation state, ensuring that the corresponding water body can be extracted after the sediment is completely precipitated, and avoiding the sediment from being extracted into the disinfection tank. And when the water body of the sedimentation tank is in a stable sedimentation state, based on the top boundary contour feature information of the sediment, the water body distribution range information corresponding to the water body part that can be transferred to the disinfection tank inside the sedimentation tank is determined to ensure the accuracy of water extraction.

[0088] In another embodiment, the water body transfer control module is used to adjust the transfer operation state of the water body portion to the disinfection pool according to the water body characteristic information, including:

[0089] The water extraction range of the water body portion transferred to the disinfection tank is determined based on the water body distribution range information; and the extraction flow rate of the water body portion is adjusted based on the changing state of the sediment top boundary contour feature information during the extraction process of the water body portion.

[0090] The beneficial effect of the above embodiment is that the water extraction range of the water body part transferred to the disinfection tank is determined according to the water body distribution range information, so that the accuracy of water extraction and transfer from the sedimentation tank can be ensured. Also, according to the change state of the sediment top boundary contour feature information during the extraction process of the water body part, the change state can be but not limited to the change in the line clarity of the sediment top boundary contour. When the line clarity is always maintained within the corresponding clarity range, the current extraction flow rate of the water body part is maintained unchanged; when the line clarity gradually decreases, the extraction flow rate of the water body part is reduced, so that the precipitation of the material in the water body part can be avoided. The simultaneous extraction of the precipitated material into the disinfection tank during the extraction.

[0091] In another embodiment, the colony analysis module is used to sample and analyze the tail water in the disinfection pool to obtain colony distribution characteristic information of the tail water, including:

[0092] Distributed sampling and analysis of tail water at different positions inside the disinfection pool is carried out to obtain the colony concentration information corresponding to the tail water at all positions; the colony concentration information corresponding to the tail water at all positions is integrated and simulated to obtain the colony concentration distribution information of the global water body inside the disinfection pool.

[0093] The beneficial effect of the above embodiment is to conduct distributed sampling and analysis of the tail water at different positions inside the disinfection pool to obtain the colony concentration information corresponding to the tail water at all positions, and to integrate and simulate the colony concentration information corresponding to the tail water at all positions to obtain the colony concentration distribution information of the global water body inside the disinfection pool. In this way, the colony concentration distribution inside the water body of the disinfection pool can be globally and quantitatively identified.

[0094] In another embodiment, the colony analysis module performs distributed sampling analysis on the tail water at different locations inside the disinfection pool to obtain colony concentration information corresponding to the tail water at all locations, including:

[0095] Step S1, in a sterile environment, take a certain amount of the sample for detection into sterile water, shake it thoroughly until it is evenly mixed to make a sample solution, and use a 10-fold series of concentration gradient standards to make gradient dilutions on the sample solution and dispense it into different test tubes; inject or spread a certain amount of the dilution solution onto an agar plate, culture it under the temperature and time conditions fixed in the standard to obtain a colony plate, and count the number of colonies using an electronic auxiliary device; let N ci is the result of the i-th colony plate count under the C concentration dilution multiple, then the mean colony count of the sample under the C concentration dilution multiple is:

[0096]

[0097] In the above formula (1), is the mean colony count of the sample at the C concentration dilution multiple; m is the number of colony plates at the C concentration dilution multiple; i is the colony plate number, which is an integer greater than or equal to 1 and less than or equal to m;

[0098] Step S2, according to the calculation result of the above step S1, calculate the number of colonies of the sample obtained by the C concentration dilution multiple, and the calculation formula is as follows:

[0099]

[0100] In the above formula (2), N c is the number of colonies obtained by diluting the sample by C concentration, where C is the dilution multiple;

[0101] Step S3, based on the calculation result of the above step S2, calculate the actual number of colonies in the sample, and the judgment process is as follows:

[0102] If only one dilution plate has colony counts within the preset count range, that is, only one N c If the value of is between 30 and 300, then the N c The value is the total number of colonies in the sample;

[0103] If the colony counts on two consecutive dilution plates are within the preset count range, there are two N c The value of is between 30 and 300, respectively denoted as N c1 and N c2 , then the actual number of colonies in the sample is:

[0104]

[0105] in and are the mean colony counts at dilution concentration C1 and dilution concentration C2, respectively, and the dilution concentration C1 is less than the dilution concentration C2;

[0106] If the number of colonies on all dilution plates is greater than 300, that is, all N c If all are greater than 300, the number of colonies on the plate with the highest dilution and concentration is taken as the actual number of colonies in the sample;

[0107] If the number of colonies on the plates of all dilutions is less than 30, that is, all N c If all are less than 30, the number of colonies on the plate with the highest dilution and the lowest concentration is taken as the actual number of colonies in the sample;

[0108] Then, based on the actual number of colonies, the colony concentration information corresponding to the tail water at all locations is obtained.

[0109] The beneficial effect of the above embodiment is that during the colony analysis, it is necessary to perform distributed sampling analysis on the tail water at different positions inside the disinfection pool to obtain the number of colonies corresponding to the tail water at all positions, thereby determining the colony concentration information corresponding to the tail water at all positions. During the entire analysis process, the determination of the number of colonies is the key, and its result will directly determine the arrangement and formulation of the subsequent colony elimination control work, and have a decisive impact on the water quality of the tail water. Therefore, when performing colony analysis, it is key to accurately determine the number of colonies. However, under normal circumstances, due to too many colonies in the sampled sample, the colony overlap occurs, and the number of colonies cannot be accurately counted, so the sampled sample will be diluted, and different dilution multiples will also have a certain influence on the determination of the number of colonies. In order to accurately determine the number of colonies, the influence of colony overlap and colony dilution on the number of colonies is eliminated. The sampled sample is diluted in a 10-fold series of standard concentration gradients, and the diluted liquid of the same dilution concentration is made into multiple colony plates. The number of colonies in multiple colony plates at the same dilution concentration is calculated to eliminate the influence of the dilution process on the accuracy of colony counting. At the same time, the actual number of colonies in the sampled sample is comprehensively judged based on the number of colonies at multiple dilution concentrations, thereby achieving accurate counting of the number of colonies, thereby eliminating the influence of colony overlap and colony dilution on the number of colonies.

[0110] In another embodiment, the colony analysis module performs distributed sampling analysis on the tail water at different locations inside the disinfection pool to obtain colony concentration information corresponding to the tail water at all locations, including:

[0111] Step A1, photograph the tail water at each position to obtain a corresponding tail water image; perform visual recognition on the tail water image to obtain the particle distribution position information of the colony in the tail water, and use the following formula (1) to obtain the average particle size of the particles formed by the colony at the corresponding position in the tail water in the image dimension according to the edge position point of the particles formed by each colony:

[0112]

[0113] In the above formula (1), represents the average particle size of the particles formed by the ath colony in the tail water at the kth position in the image dimension; [X k_a (p),Y k_a (p)] represents the coordinate value of the pth edge position point of the particle formed by the ath colony in the tail water at the kth position; B represents the set of edge position points of the ath colony in the tail water at the kth position; max p∈B [X k_a (p)] represents the maximum value of the horizontal coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; max p∈B [Y k_a(p)] represents the maximum value of the vertical coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; min p∈B [X k_a (p)] represents the minimum value of the horizontal coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; min p∈B [Y k_a (p)] represents the minimum value of the ordinate among the edge position points of the particles formed by the ath colony in the tail water at the kth position;

[0114] Step A2, using the following formula (2), according to the position of the marked point in the tail water image at each position and the average particle size of the particles formed by each colony in the tail water in the image dimension, the actual particle size of each colony in the tail water at each position is obtained:

[0115]

[0116] In the above formula (2), D(k_a) represents the actual particle size of the ath colony in the tail water at the kth position; (x1, y1) represents the coordinate value of the first mark point in the tail water image at the kth position; (x2, y2) represents the coordinate value of the second mark point in the tail water image at the kth position; L represents the actual distance value between the first mark point and the second mark point;

[0117] Step A3, using the following formula (3), according to the actual particle size of each colony in the tail water at each location and the average colony number per unit area, the number of colonies in the tail water at each location is obtained:

[0118]

[0119] In the above formula (3), E(k) represents the number of colonies in the tail water at the kth position; S0 represents the unit area; E0 represents the average number of colonies per unit area; and A represents the total number of colonies in the tail water at the kth position.

[0120] The beneficial effect of the above embodiment is that the above formula (1) is used to obtain the average particle size of the particles formed by the colonies at the corresponding position in the tail water in the image dimension according to the edge position point of the particles formed by each colony, so that each colony is treated as a regular particle for analysis and calculation to improve the efficiency of subsequent calculations; then the above formula (2) is used to obtain the actual particle size of each colony in the tail water at each position according to the position of the marked point in the tail water image at each position and the average particle size of the particles formed by each colony in the tail water in the image dimension, so that the actual particle size of each colony is calculated according to the marked point, which is convenient for the subsequent calculation of the number of colonies in the tail water; then the above formula (3) is used to obtain the number of colonies in the tail water at each position according to the actual particle size of each colony in the tail water at each position and the average number of colonies per unit area, so that the colony concentration information corresponding to the tail water of all positions can be obtained according to the actual number of colonies.

[0121] In another embodiment, the colony elimination control module is used to adjust the delivery operation state of the disinfection gas to the disinfection pool according to the colony distribution characteristic information, including:

[0122] According to the colony concentration distribution information, the global water body inside the disinfection pool is divided into several low colony concentration water sub-areas and several high colony concentration water sub-areas; based on the average colony concentration values ​​of the low colony concentration water sub-areas and the high colony concentration water sub-areas respectively, the delivery flow rate and delivery duration of ozone to the low colony concentration water sub-areas and the high colony concentration water sub-areas are adjusted.

[0123] The beneficial effect of the above embodiment is that, according to the colony concentration distribution information, the global water body inside the disinfection pool is divided into several low colony concentration water body sub-areas and several high colony concentration water body sub-areas, and based on the average colony concentration values ​​of the low colony concentration water body sub-areas and the high colony concentration water body sub-areas respectively, the ozone delivery flow rate and delivery duration to the low colony concentration water body sub-areas and the high colony concentration water body sub-areas are adjusted. Generally speaking, the larger the average colony concentration value of the water body sub-area, the larger the corresponding ozone delivery flow rate and delivery duration. In this way, the corresponding water body sub-areas can be fully ozone sterilized and the water quality of the tail water can be effectively improved.

[0124] In general, the tailwater intelligent treatment system for aquaculture adjusts the extraction operation state of the tailwater from the aquaculture pond according to the water circulation state of the aquaculture pond, so as to extract the tailwater to the filtration tank; visually monitors the filtration equipment of the filtration tank to obtain the filtration state information of the filtration equipment, so as to adjust the filtration operation state of the filtration equipment, and transfers the tailwater that has completed filtration to the sedimentation tank, thereby improving the filtration effectiveness and thoroughness of the tailwater; visually monitors the sedimentation tank to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank, so as to adjust the transfer operation state of the water body part to the disinfection tank, and avoid the sedimentation material from being transferred to the disinfection tank; then the tailwater in the disinfection tank is sampled and analyzed to obtain the colony distribution characteristic information of the tailwater, so as to adjust the delivery operation state of the disinfection gas to the disinfection tank, thereby ensuring the overall disinfection efficiency of the water body while shortening the disinfection time, and effectively improving the water quality of the tailwater.

[0125] The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.

Claims

1. An intelligent tailwater treatment system for aquaculture, characterized in that: include: A tail water extraction module, used for adjusting the extraction operation state of extracting tail water from the aquaculture pond according to the pool water circulation state of the aquaculture pond, so as to extract the tail water to the filtration pond; A filtering visual recognition module is used to visually monitor the filtering device of the filtering pool to obtain a corresponding filtering dynamic image; and analyze the filtering dynamic image to determine the filtering status information of the filtering device; A filtration control module, used to adjust the filtration operation state of the filtration device according to the filtration state information, so as to transfer the tail water after filtration to a sedimentation tank; A sedimentation visual recognition module is used to visually monitor the sedimentation tank to obtain a dynamic image of the sedimentation inside the sedimentation tank; and to analyze the dynamic image of the sedimentation to determine the water body characteristic information corresponding to the water body part inside the sedimentation tank that can be transferred to the disinfection tank; A water body transfer control module, used for adjusting the transfer operation state of the water body portion to the disinfection tank according to the water body characteristic information; A colony analysis module is used to sample and analyze the tail water in the disinfection tank to obtain colony distribution characteristic information of the tail water; The colony elimination control module is used to adjust the delivery operation state of the disinfection gas to the disinfection pool according to the colony distribution characteristic information.

2. The tailwater intelligent treatment system for aquaculture according to claim 1, characterized in that: The tail water extraction module is used to adjust the extraction operation state of extracting tail water from the breeding pond according to the pool water circulation state of the breeding pond, so as to extract the tail water to the filtering pool, including: The input pool water flow and the output pool water flow inside the breeding pond are obtained, and based on the flow difference between the input pool water flow and the output pool water flow, the maximum flow value allowed for extracting tail water from the breeding pond when the water depth inside the breeding pond is maintained within a preset depth range is estimated; based on the maximum flow value, the extraction flow rate of the tail water extracted from the breeding pond is adjusted, so that the tail water is extracted to the filtration tank.

3. The tailwater intelligent treatment system for aquaculture according to claim 1, characterized in that: The filtering visual recognition module is used to visually monitor the filtering device of the filtering pool to obtain a corresponding filtering dynamic image; and analyze the filtering dynamic image to determine the filtering state information of the filtering device, including: Dynamically photographing the filtering equipment of the filtering pool to obtain a dynamic image of the filtering operation of the filtering equipment on the tail water; performing frame processing on the dynamic image of the filtering operation to obtain a plurality of filtering operation image frames; The filtering operation image frame is identified and processed to obtain the average particle size value of impurities in the tail water after filtering by the filtering device; the average particle size value of impurities is compared with a preset particle size threshold value. If the average particle size value of impurities is greater than or equal to the preset particle size threshold value, it is determined that the filtering device has not effectively filtered the tail water; otherwise, it is determined that the filtering device has effectively filtered the tail water.

4. The tailwater intelligent treatment system for aquaculture according to claim 3, characterized in that: The filtration control module is used to adjust the filtration operation state of the filtration device according to the filtration state information, so as to transfer the tail water after filtration to the sedimentation tank, including: When the filter device effectively filters the tail water, the filter pumping flow rate of the filter device on the tail water is kept unchanged, so as to transfer the filtered tail water to the sedimentation tank; When the filtering device fails to effectively filter the tail water, the filtering pumping flow rate of the filtering device on the tail water is reduced, so that the filtered tail water is transferred to the sedimentation tank.

5. The tailwater intelligent treatment system for aquaculture according to claim 1, characterized in that: The sedimentation visual recognition module is used to visually monitor the sedimentation tank to obtain a dynamic image of the sedimentation inside the sedimentation tank; The dynamic image of the sedimentation is analyzed to determine the water characteristic information corresponding to the water part in the sedimentation tank that can be transferred to the disinfection tank, including: Perform binocular photography on the sedimentation tank to obtain a dynamic binocular image of sedimentation inside the sedimentation tank; Generate a corresponding dynamic three-dimensional sedimentation image based on the binocular parallax of the dynamic binocular sedimentation image; analyze the dynamic three-dimensional sedimentation image to obtain the top boundary contour feature information of the sediment inside the sedimentation tank water body; and determine whether the sedimentation tank water body is in a stable sedimentation state based on the top boundary contour feature information of the sediment; When the water in the sedimentation tank is in a stable sedimentation state, the water distribution range information corresponding to the water part inside the sedimentation tank that can be transferred to the disinfection tank is determined based on the top boundary contour feature information of the sediment.

6. The intelligent tailwater treatment method for aquaculture according to claim 5, characterized in that: The water body transfer control module is used to adjust the transfer operation state of the water body portion to the disinfection pool according to the water body characteristic information, including: The water extraction range of the water body portion to be transferred to the disinfection tank is determined based on the water body distribution range information; and the extraction flow rate of the water body portion is adjusted based on the changing state of the sediment top boundary contour feature information during the extraction process of the water body portion.

7. The intelligent tailwater treatment method for aquaculture according to claim 1, characterized in that: The colony analysis module is used to sample and analyze the tail water in the disinfection tank to obtain colony distribution characteristic information of the tail water, including: Distributed sampling and analysis are performed on the tail water at different positions inside the disinfection pool to obtain the colony concentration information corresponding to the tail water at all positions; the colony concentration information corresponding to the tail water at all positions is integrated and simulated to obtain the colony concentration distribution information of the global water body inside the disinfection pool.

8. The intelligent tailwater treatment method for aquaculture according to claim 7, characterized in that: The colony analysis module performs distributed sampling analysis on the tail water at different positions inside the disinfection pool to obtain colony concentration information corresponding to the tail water at all positions, including: Step A1, photographing the tail water at each position to obtain a corresponding tail water image; visually identifying the tail water image to obtain the particle distribution position information of the colony in the tail water, and using the following formula (1), according to the edge position point of the particles formed by each colony, obtaining the average particle size of the particles formed by the colony at the corresponding position in the tail water in the image dimension, In the above formula (1), represents the average particle size of the particles formed by the ath colony in the tail water at the kth position in the image dimension; [X k_a (p),Y k_a (p)] represents the coordinate value of the pth edge position point of the particle formed by the ath colony in the tail water at the kth position; B represents the set of edge position points of the ath colony in the tail water at the kth position; max p∈B [X k_a (p)] represents the maximum value of the horizontal coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; max p∈B [Y k_a (p)] represents the maximum value of the vertical coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; min p∈B [X k_a (p)] represents the minimum value of the horizontal coordinate of the edge position point of the particle formed by the ath colony in the tail water at the kth position; min p∈B [Y k_a (p)] represents the minimum value of the ordinate among the edge position points of the particles formed by the ath colony in the tail water at the kth position; Step A2, using the following formula (2), according to the position of the marked point in the tail water image at each position and the average particle size of the particles formed by each colony in the tail water in the image dimension, the actual particle size of each colony in the tail water at each position is obtained: In the above formula (2), D(k_a) represents the actual particle size of the ath colony in the tail water at the kth position; (x1, y1) represents the coordinate value of the first mark point in the tail water image at the kth position; (x2, y2) represents the coordinate value of the second mark point in the tail water image at the kth position; L represents the actual distance value between the first mark point and the second mark point; Step A3, using the following formula (3), according to the actual particle size of each colony in the tail water at each location and the average colony number per unit area, the number of colonies in the tail water at each location is obtained: In the above formula (3), E(k) represents the number of colonies in the tail water at the kth position; S0 represents the unit area; E0 represents the average number of colonies per unit area; and A represents the total number of colonies in the tail water at the kth position.

9. The intelligent tailwater treatment method for aquaculture according to claim 7, characterized in that: The colony elimination control module is used to adjust the delivery operation state of the disinfection gas to the disinfection pool according to the colony distribution characteristic information, including: According to the colony concentration distribution information, the global water body inside the disinfection pool is divided into a number of low colony concentration water body sub-areas and a number of high colony concentration water body sub-areas; based on the average colony concentration values ​​of the low colony concentration water body sub-areas and the high colony concentration water body sub-areas respectively, the delivery flow rate and delivery duration of ozone to the low colony concentration water body sub-areas and the high colony concentration water body sub-areas are adjusted.

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