A statistical method, system and medium for intelligent fish pond tailwater treatment volume

Abstract

The present invention relates to a statistical method, system and medium for the treatment amount of tail water of an intelligent fish pond, comprising: setting a sampling time as t, sampling the water treatment amount within the time t, and then obtaining the sampled circulating water treatment amount V1 per unit time and the sampled purified water treatment amount V2 per unit time; obtaining the circulating water treatment power Q1 and the purified water treatment power Q2 within the working time T through an electricity meter, and obtaining the working current I of the equipment through a current sensor; the power P1 of the circulating water treatment equipment and the power P2 of the purified water treatment equipment, using the ratio of Q1 to P1 to obtain the equivalent working time T1 of the circulating water treatment, and using the ratio of Q2 to P2 to obtain the equivalent time T2 of the purified water treatment; according to the data obtained in the above steps, using a formula to calculate the real-time circulating water treatment amount V within the normal working time T 11 And the real-time tailwater purification treatment volume V 22 The present invention can achieve a statistical effect of tailwater treatment volume with high accuracy, real-time performance and strong scalability.

Description

Technical Field

[0001] The present invention relates to the field of tailwater treatment volume statistics, and more specifically, to a statistical method, system and medium for tailwater treatment volume of an intelligent fish pond. Background Art

[0002] The issue of aquaculture and environmental pollution is becoming increasingly prominent and needs to be addressed urgently. With the rapid development of aquaculture, especially high-density fish pond farming, the tailwater problem has become an important environmental issue. These fish pond tailwaters usually contain a large amount of organic matter, nutrients such as nitrogen and phosphorus, and other possible harmful substances. Their discharge not only affects the surrounding land and water resources, but also poses a potential threat to the overall water quality of downstream rivers and water bodies.

[0003] Therefore, the treatment of fish pond tailwater has become one of the necessary environmental protection measures. At present, one of the main methods for treating and reusing fish pond tailwater is to extract the fish pond tailwater through a water pump and then perform physical, chemical or biological treatment in a shore-based integrated treatment device. In this process, flow meters are usually used to directly measure the amount of water treated. However, this method has the following disadvantages:

[0004] The technology is difficult and costly: Fish ponds are located in remote areas and are exposed in the wild. The additional installation and maintenance of flow meters not only requires professional technical support, but also involves considerable hardware and software construction and maintenance and replacement costs.

[0005] Poor accuracy and reliability: The accuracy of a flow meter can be affected by a variety of factors, including but not limited to equipment aging, contamination, and other environmental factors.

[0006] Therefore, in order to solve the above problems, this solution does not use direct measurement by flow meter when counting the treatment volume of fish pond tailwater. Instead, it uses power consumption combined with equipment processing power to reversely deduce the water treatment volume, and calculates the two treatment volumes of circulation and tailwater according to a specific formula. It then gradually summarizes the statistics of tailwater treatment capacity at multiple levels, including multiple fish ponds, multiple regions, towns, and cities. Summary of the invention

[0007] The present invention aims to overcome at least one defect (shortcoming) of the above-mentioned prior art and provide a statistical method, system and medium for the treatment volume of tailwater of intelligent fish ponds, which is used to solve the problems of high technical difficulty, high cost, poor accuracy and reliability in the current statistical method of the treatment volume of tailwater of fish ponds.

[0008] The technical solution adopted by the present invention is a statistical method for the treatment amount of tail water in an intelligent fish pond, comprising:

[0009] S1: Set the sampling time to t, sample the water treatment volume within t, and then obtain the sampled circulating water treatment volume V1 per unit time and the sampled purified water treatment volume V2 per unit time;

[0010] S2: Obtain the circulating water treatment power Q1 and the purified water treatment power Q2 within the working time T through the power meter, and obtain the working current I of the equipment through the current sensor;

[0011] S3: The power P1 of the circulating water treatment equipment and the power P2 of the purified water treatment equipment are used to obtain the equivalent working time T1 of the circulating water treatment by using the ratio of Q1 to P1, and the equivalent working time T2 of the purified water treatment is obtained by using the ratio of Q2 to P2;

[0012] S4: Based on the data obtained in the above steps, use the formula to calculate the real-time circulating water treatment volume V during normal working time T 11 And the real-time tailwater purification treatment volume V 22 , the formula is as follows:

[0013] Real-time circulating water treatment capacity

[0014] Real-time tailwater purification treatment capacity

[0015] By measuring the power consumption of the water pump and the processing power of the equipment to reversely infer the actual amount of water treated, you only need to check the built-in current sensor and electricity meter parameters of the equipment to get the statistical results of the water treatment volume according to the formula. By using current and electricity data, this method can provide more accurate and real-time tail water treatment volume statistics. Compared with the use of flow meters in the prior art, the technical difficulty and cost used are lower, and it can also avoid being affected by various factors, ensuring the accuracy and reliability of the statistical results.

[0016] Preferably, in step S4, the real-time water treatment amount formula is:

[0017]

[0018] Among them, T is the normal working time of the equipment, V' is the sampled water treatment volume per unit time t measured in advance, Q is the power, and P is the equipment processing power;

[0019] Furthermore, in order to further improve the accuracy and reliability of the statistical results of the tailwater treatment volume, a correction coefficient λ is also included, and the formula is:

[0020]

[0021] in, is the average current during normal working time T, I tis the average current within the sampling time t;

[0022] Further substituting formula (2) into formula (1) yields the final real-time water treatment volume formula, as shown below:

[0023]

[0024] Among them, V' is the sample water treatment volume per unit time, is the equivalent time, λ is the correction coefficient;

[0025] Furthermore, the real-time circulating water treatment capacity V 11 and real-time tailwater purification treatment capacity V 22 The formula is as follows:

[0026]

[0027]

[0028] This formula can be used to combine power consumption with equipment processing power to infer water treatment capacity, simplifying technical difficulty and reducing costs. In addition, since the equipment does not always use rated power to operate when treating tail water, in order to further improve the accuracy and reliability of tail water treatment capacity, the scheme uses power divided by equipment processing power to obtain average time to improve the accuracy of statistical results, and further calculates the average current within normal working time T divided by the average current per unit time t under normal voltage to further correct the calculated real-time water treatment capacity, ensuring the accuracy of water treatment capacity statistics.

[0029] Preferably, in step S2, the pre-measured sampled circulating water treatment volume V1 is 55-70 m 3 / h, the pre-measured sample tail water purification treatment volume V2 is 0.1~0.2m 3 / h.

[0030] By sampling in advance, the sampled circulating water treatment volume and tail water purification treatment volume within the normal voltage unit time t are obtained, and then the water treatment volume can be calculated by combining the sampling data with the actual working time of the equipment. This method simplifies the operation of tail water statistics and does not require professional technical support to obtain the fish pond tail water treatment volume.

[0031] Preferably, the present solution also includes counting water treatment volumes at multiple levels, the steps of which are:

[0032] S5: Count the number of circulating water treatment equipment in each area and region, n1, and the number of tail water purification equipment, n2;

[0033] S6: Calculate the water treatment volume Vn of the area and region based on the above data combined with the formula obtained in step S4, including the area circulating water treatment volume Vn1 and the area tail water purification treatment volume Vn2.

[0034] By counting the number of equipment in each area and region, we can gradually summarize it to form statistics on tailwater treatment capacities at multiple levels, such as multiple fish ponds, multiple regions, towns, and cities, further expanding the scope of statistics on fish pond tailwater treatment capacity, making the tailwater treatment volume statistical method involved in this plan more practical.

[0035] Further preferably, in step S6, V n1 and V n2 The formula is:

[0036]

[0037]

[0038] Wherein, η represents the reduction rate of water treatment volume.

[0039] Further preferably, the formula for the reduction rate η of the water treatment volume is:

[0040] η=1-e -n ×θ (8)

[0041] Where n is the number of water treatment equipment, n>1, θ is the distance density coefficient, θ∈[1,3.65].

[0042] Since the number of treatment equipment installed in the same fish pond or the same area is usually greater than one in the treatment of fish pond tailwater, the treated fish pond tailwater will be repeatedly treated. Therefore, a reduction factor needs to be multiplied in the above formula to further improve the accuracy of the tailwater treatment volume statistics, and its scalability is also higher. In addition, since the distance of the tailwater treatment equipment will also affect the tailwater treatment volume statistics, it is also necessary to multiply it with a distance density coefficient, which can be obtained based on experience, and its range is generally 1 to 3.65, in order to further improve the accuracy of the statistical results.

[0043] Preferably, in this solution, a statistical system for the amount of tailwater treated by an intelligent fish pond is also included, including:

[0044] Unit time sampling unit: including unit time circulating water treatment volume sampling unit and unit time purified water treatment volume sampling unit;

[0045] Power and current monitoring unit: including circulating water treatment power monitoring unit, purified water treatment power monitoring unit and current monitoring unit;

[0046] Time processing unit: including circulating water treatment equivalent working time processing unit and purified water treatment equivalent time processing unit;

[0047] Data processing unit: real-time circulating water treatment volume data processing unit and real-time tail water purification treatment volume data processing unit.

[0048] In each of the above units, further statistics can be made on the fish pond tailwater treatment. The data can be processed by the data processing unit to finally obtain the real-time tailwater treatment volume, which simplifies the steps of tailwater treatment volume statistics and ensures the accuracy and real-time nature of the statistical results.

[0049] Further preferably, the statistical system for the amount of tailwater treated by an intelligent fish pond further includes a solid-liquid separation unit, a concentrated tailwater treatment unit, and a supernatant treatment unit, wherein:

[0050] Solid-liquid separation unit: separate the fish pond tail water into supernatant and concentrated tail water;

[0051] Concentrated tail water treatment unit: The concentrated tail water is separated into solid and liquid again, and then treated with septic tank and ozone microorganisms in turn, and then returned to the pond for recycling or discharged into the ecological ditch after testing and meeting the standards;

[0052] Supernatant treatment unit: The supernatant is subjected to foam separation, aeration and oxygenation, and finally returned to the pond for recycling.

[0053] The above-mentioned units realize the purification of tail water from fish ponds and the recycling of tail water, thus reducing the pollution of aquaculture to the environment and meeting the requirements of environmental protection.

[0054] Further preferably, the data processing unit also includes a data display module, which displays the data obtained by data processing in real time on the platform, including the fish pond tailwater treatment coverage area, the number of fish pond tailwater treatment systems, the total amount of recycled treated water, and the total amount of purified water treated.

[0055] Through intuitive data display, it is convenient for staff to view and obtain the required data, thus improving their convenience.

[0056] Preferably, the present solution also includes a computer-readable storage medium, which stores computer programs and data required by the tailwater treatment volume statistics system, and the computer program is used to execute the above-mentioned statistical method for tailwater treatment volume of an intelligent fish pond.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. Accuracy and real-time: By using current and power data, this method can provide more accurate and real-time statistics of tailwater treatment volume.

[0059] 2. Cost-effectiveness: Compared with flow meters, current and power sensors are usually more economical and easier to install and maintain.

[0060] 3. Scalability: This method can be gradually summarized into tailwater treatment capacity statistics covering multiple fish ponds, multiple regions, towns, and even cities, and has high scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic diagram of the base-bank integrated pond circulating water treatment system of the present invention.

[0062] Figure 2 It is a schematic diagram of equipment data monitoring of the present invention.

[0063] Figure 3 It is a schematic diagram of the water treatment statistical data display module of the present invention. DETAILED DESCRIPTION

[0064] The drawings of the present invention are only for illustrative purposes and should not be construed as limiting the present invention. In order to better illustrate the following embodiments, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; it is understandable to those skilled in the art that some well-known structures and their descriptions in the drawings may be omitted.

[0065] Example 1

[0066] In this embodiment, in order to solve the problems of high technical difficulty, high cost, poor accuracy and reliability in the current statistical fish pond tailwater treatment volume, the technical solution adopted is a statistical method for the intelligent fish pond tailwater treatment volume, including:

[0067] S1: Set the sampling time to t, sample the water treatment volume within t, and then obtain the sampled circulating water treatment volume V1 per unit time and the sampled purified water treatment volume V2 per unit time;

[0068] S2: Obtain the circulating water treatment power Q1 and the purified water treatment power Q2 within the working time T through the power meter, and obtain the working current I of the equipment through the current sensor;

[0069] S3: The power P1 of the circulating water treatment equipment and the power P2 of the purified water treatment equipment are used to obtain the equivalent working time T1 of the circulating water treatment by using the ratio of Q1 to P1, and the equivalent working time T2 of the purified water treatment is obtained by using the ratio of Q2 to P2;

[0070] S4: Based on the data obtained in the above steps, use the formula to calculate the real-time circulating water treatment volume V during normal working time T 11 And the real-time tailwater purification treatment volume V 22 , the formula is as follows:

[0071] Real-time circulating water treatment capacity

[0072] Real-time tailwater purification treatment capacity

[0073] By measuring the power consumption of the water pump and the processing power of the equipment to reversely infer the actual amount of water treated, you only need to check the built-in current sensor and electricity meter parameters of the equipment to get the statistical results of the water treatment volume according to the formula. By using current and electricity data, this method can provide more accurate and real-time tail water treatment volume statistics. Compared with the use of flow meters in the prior art, the technical difficulty and cost used are lower, and it can also avoid being affected by various factors, ensuring the accuracy and reliability of the statistical results.

[0074] Preferably, in step S4 of this embodiment, the real-time water treatment amount formula is:

[0075]

[0076] Among them, T is the normal working time of the equipment, V' is the sampled water treatment volume per unit time t measured in advance, Q is the power, and P is the equipment processing power;

[0077] Furthermore, in order to further improve the accuracy and reliability of the statistical results of the tailwater treatment volume, a correction coefficient λ is also included, and the formula is:

[0078]

[0079] in, is the average current during normal working time T, I t is the average current within the sampling time t;

[0080] Further substituting formula (2) into formula (1) yields the final real-time water treatment volume formula, as shown below:

[0081]

[0082] Among them, V' is the sample water treatment volume per unit time, is the equivalent time, λ is the correction coefficient;

[0083] Furthermore, the real-time circulating water treatment capacity V 11 and real-time tailwater purification treatment capacity V 22 The formula is as follows:

[0084]

[0085]

[0086] This formula can be used to combine power consumption with equipment processing power to infer water treatment capacity, simplifying technical difficulty and reducing costs. In addition, since the equipment does not always use rated power to operate when treating tail water, in order to further improve the accuracy and reliability of tail water treatment capacity, the scheme uses power divided by equipment processing power to obtain average time, and then multiplies it by the sampled water treatment capacity to improve the accuracy of the statistical results, and further calculates the ratio of the average current in normal working time T to the average current per unit time t under normal voltage to further correct the calculated real-time water treatment capacity, ensuring the accuracy of the water treatment capacity statistical results.

[0087] Preferably, in step S2 of this embodiment, the amount of tail water treated by a fish pond tail water treatment device in one hour is measured in advance by a flow meter or other equipment, and sampling is performed in advance to obtain a pre-measured sampled circulating water treatment volume V1 of 66m 3 / h, the sample tail water purification treatment capacity V2 is 0.1667m 3 / h.

[0088] Substituting the pre-measured sampled circulating water treatment volume into formula (4) yields

[0089]

[0090] Substituting the pre-measured sample tail water purification treatment volume into formula (5) yields

[0091]

[0092] By sampling in advance, the sampled circulating water treatment volume and tail water purification treatment volume within the normal voltage unit time t can be obtained, and then the water treatment volume can be calculated by combining the data obtained from the sampling with the actual working time of the equipment. This method simplifies the operation of tail water statistics and does not require professional technical support to obtain the fish pond tail water treatment volume.

[0093] Preferably, in this embodiment, it also includes counting water treatment volumes at multiple levels, and the steps are:

[0094] S5: Count the number of circulating water treatment equipment in each area and region, n1, and the number of tail water purification equipment, n2;

[0095] S6: Calculate the area circulating water treatment volume V based on the above data combined with the formula obtained in step S4 n1And the tail water purification treatment volume V n2 .

[0096] By counting the number of equipment in each area and region, we can gradually summarize it to form statistics on tailwater treatment capacities at multiple levels, such as multiple fish ponds, multiple regions, towns, and cities, further expanding the scope of statistics on fish pond tailwater treatment capacities, making the tailwater treatment volume statistics method involved in this plan more practical.

[0097] Further preferably, in step S6, V n1 and V n2 The formula is:

[0098]

[0099]

[0100] Wherein, η represents the reduction rate of water treatment volume.

[0101] Further preferably, the formula for the reduction rate η of the water treatment volume is:

[0102] η=1-e -n ×θ (8)

[0103] Where n is the number of water treatment equipment, n>1, θ is the distance density coefficient, θ∈[1,3.65].

[0104] In this embodiment, when n is 1, η is 1 and no reduction occurs. The real-time circulating water treatment capacity V can be obtained by directly applying formulas (4) and (5): 11 and real-time tailwater purification treatment capacity V 22 .

[0105] When the number of equipment in the area n is 2, θ is taken as 1, and the η calculated by substituting it into formula (8) is approximately equal to 0.86. Then, by combining the above-obtained data and substituting them into formulas (6) and (7), the circulating water treatment capacity and purified water treatment capacity corresponding to multiple levels can be obtained.

[0106] Similarly, when the number of zone equipment n is 3, θ is taken as 1, and the η calculated by substituting it into formula (8) is approximately equal to 0.95. Then, by combining the above-obtained data and substituting them into formulas (6) and (7), the corresponding circulating water treatment capacity and purified water treatment capacity of multiple levels can also be obtained.

[0107] The value of θ selected above is an empirical value, and those skilled in the art may select it according to actual conditions.

[0108] Since the number of treatment equipment installed in the same fish pond or the same area is usually greater than one in the treatment of fish pond tailwater, the treated fish pond tailwater will be repeatedly treated. Therefore, a reduction factor needs to be multiplied in the above formula to further improve the accuracy of the tailwater treatment volume statistics, and its scalability is also higher. In addition, since the distance of the tailwater treatment equipment will also affect the tailwater treatment volume statistics, it is also necessary to multiply it with a distance density coefficient, which can be obtained based on experience, and its range is generally 1 to 3.65, in order to further improve the accuracy of the statistical results.

[0109] Preferably, in this embodiment, a statistical system for the amount of tailwater treated by an intelligent fish pond is also included, including:

[0110] Unit time sampling unit: including unit time circulating water treatment volume sampling unit and unit time purified water treatment volume sampling unit;

[0111] Power and current monitoring unit: including circulating water treatment power monitoring unit, purified water treatment power monitoring unit and current monitoring unit;

[0112] Time processing unit: including circulating water treatment equivalent working time processing unit and purified water treatment equivalent time processing unit;

[0113] Data processing unit: real-time circulating water treatment volume data processing unit and real-time tail water purification treatment volume data processing unit.

[0114] like Figure 2 As shown, the power consumption of the tailwater treatment equipment is displayed in the power and current monitoring unit. At the same time, if a certain set of equipment has a fault, a corresponding prompt will be given, making the fish pond tailwater treatment more intelligent.

[0115] In each of the above units, further statistics can be made on the fish pond tailwater treatment. The data can be processed by the data processing unit to finally obtain the real-time tailwater treatment volume, which simplifies the steps of tailwater treatment volume statistics and ensures the accuracy and real-time nature of the statistical results.

[0116] More preferably, if Figure 1 As shown, in this embodiment, the statistical system for the amount of tail water treated by an intelligent fish pond further includes a solid-liquid separation unit, a concentrated tail water treatment unit, and a supernatant treatment unit, wherein:

[0117] Solid-liquid separation unit: separate the fish pond tail water into supernatant and concentrated tail water;

[0118] Concentrated tail water treatment unit: The concentrated tail water is separated into solid and liquid again, and then treated with septic tank and ozone microorganisms in turn, and then returned to the pond for recycling or discharged into the ecological ditch after testing and meeting the standards;

[0119] Supernatant treatment unit: The supernatant is subjected to foam separation, aeration and oxygenation, and finally returned to the pond for recycling.

[0120] The above-mentioned units realize the purification of tail water from fish ponds and the recycling of tail water, thus reducing the pollution of aquaculture to the environment and meeting the requirements of environmental protection.

[0121] More preferably, if Figure 3 As shown, the data processing unit also includes a data display module, which displays the data obtained from data processing in real time on the platform, including the fish pond tailwater treatment coverage area, the number of fish pond tailwater treatment systems, the total amount of recycled treated water, and the total amount of purified water treated.

[0122] exist Figure 3 In the system, the total amount of fish pond tailwater treatment, the area covered by fish pond tailwater treatment and other data can be clearly viewed through intuitive data display, which makes it convenient for staff to view and obtain the required data and improves their convenience.

[0123] Preferably, this embodiment also includes a computer-readable storage medium, which stores computer programs and data required by the tailwater treatment volume statistics system, and the computer program is used to execute the above-mentioned statistical method for tailwater treatment volume of an intelligent fish pond.

[0124] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the technical solution of the present invention, and are not intended to limit the specific implementation methods of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the claims of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A statistical method for the treatment volume of tailwater in an intelligent fish pond, comprising: S1: Set the sampling time to t, sample the water treatment volume within t, and then obtain the sampled circulating water treatment volume V1 per unit time and the sampled purified water treatment volume V2 per unit time; S2: Obtain the circulating water treatment power Q1 and the purified water treatment power Q2 within the working time T through the power meter, and obtain the working current I of the equipment through the current sensor; S3: The power P1 of the circulating water treatment equipment and the power P2 of the purified water treatment equipment are used to obtain the equivalent working time T1 of the circulating water treatment by using the ratio of Q1 to P1, and the equivalent working time T2 of the purified water treatment is obtained by using the ratio of Q2 to P2; S4: Based on the data obtained in the above steps, use the formula to calculate the real-time circulating water treatment volume V during normal working time T 11 And the real-time tailwater purification treatment volume V 22 ; It is characterized in that, in step S4, the formula is: Real-time circulating water treatment capacity Real-time tailwater purification treatment capacity In step S4, the formula also includes multiplication with a correction coefficient λ, the formula of λ is in is the average current during normal working time T, I t is the average current within the sampling time t; The real-time circulating water treatment volume V 11 and real-time tailwater purification treatment capacity V 22 The formula is as follows: Real-time circulating water treatment capacity Real-time tailwater purification treatment capacity It also includes statistics on water treatment volumes at multiple levels, the steps are: S5: Count the number of circulating water treatment equipment in each area and region, n1, and the number of tail water purification equipment, n2; S6: Calculate the area circulating water treatment volume Vn1 and the area tail water purification treatment volume Vn2 according to the above data combined with the formula obtained in step S4; In step S6, V n1 and V n2 The formula is: Wherein, η represents the reduction rate of water treatment volume; The reduction rate of the water treatment volume η=1-e^(-n)×θ; Where n is the number of water treatment equipment, n>1, θ is the distance density coefficient, θ∈[1,3.65].

2. The statistical method for the treatment amount of tailwater of an intelligent fish pond according to claim 1 is characterized in that: In step S1, the pre-measured unit time sampled circulating water treatment volume V1 is 55-70m 3 / h, the pre-measured purified water treatment capacity per unit time V2 is 0.1~0.2m 3 / h.

3. A statistical system for the amount of fish pond tailwater treated according to the statistical method for the amount of fish pond tailwater treated according to any one of claims 1 to 2, characterized in that: include: Unit time sampling unit: including unit time circulating water treatment volume sampling unit and unit time purified water treatment volume sampling unit; Power and current monitoring unit: including circulating water treatment power monitoring unit, purified water treatment power monitoring unit and current monitoring unit; Time processing unit: including circulating water treatment equivalent working time processing unit and purified water treatment equivalent time processing unit; Data processing unit: real-time circulating water treatment volume data processing unit and real-time tail water purification treatment volume data processing unit.

4. The statistical system for the amount of tailwater treated by an intelligent fish pond according to claim 3 is characterized in that: It also includes a solid-liquid separation unit, a concentrated tail water treatment unit, and a supernatant treatment unit, wherein: Solid-liquid separation unit: separate the fish pond tail water into solid and liquid into supernatant and concentrated tail water; Concentrated tail water treatment unit: The concentrated tail water is separated into solid and liquid again, and then treated with septic tank and ozone microorganisms in turn, and then returned to the pond for recycling or discharged into the ecological ditch after testing and meeting the standards; Supernatant treatment unit: The supernatant is subjected to foam separation, aeration and oxygenation, and finally returned to the pond for recycling.

5. The statistical system for the amount of tailwater treated by an intelligent fish pond according to claim 4 is characterized in that: The data processing unit also includes a data display module, which displays the data obtained from data processing in real time on the platform, including the fish pond tailwater treatment coverage area, the number of fish pond tailwater treatment systems, the total amount of circulating treated water, and the total amount of purified water treated.

6. A computer-readable storage medium storing computer programs and data required by a tailwater treatment volume statistics system, characterized in that: The computer program is used to execute the statistical method for the treatment amount of tailwater of an intelligent fish pond as described in any one of claims 1-2.

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