A circulating water treatment process for seawater shrimp farming

Abstract

The invention relates to the technical field of circulating water treatment, and specifically discloses a circulating water treatment process for seawater shrimp farming, comprising: microfiltration machine treatment, biological purification, disinfection treatment, oxygenation measures, and recycling; and detecting pipelines during recycling, specifically: regularly detecting pipelines to determine whether the pipelines are abnormal; analyzing the use of pipelines when the pipelines are abnormal, obtaining pipeline use parameters, and predicting pipeline abnormalities; the invention can promptly and quickly determine whether the pipelines are abnormal by regularly detecting pipelines, which helps managers to quickly take measures to ensure the normal operation of a water circulation system; predicting the time of pipeline abnormalities, thereby avoiding production interruptions and additional maintenance costs when the pipelines are suddenly damaged. In addition, by maintaining or replacing pipelines in advance according to prediction results, the service life of the pipelines can be extended, and the operating costs can be further reduced.

Description

Technical Field

[0001] The invention relates to the technical field of circulating water treatment, and in particular to a circulating water treatment process for seawater shrimp farming. Background Art

[0002] The normal operation of pipelines is crucial to maintaining stable water quality. If the pipelines are aged or damaged, the water quality may deteriorate, which in turn affects the growth and health of marine shrimp. Timely inspection and maintenance of pipelines can ensure the stability of water quality and improve the efficiency of marine shrimp farming. Inspection of pipelines helps to promptly detect possible problems with pipelines, such as sediments, scale, damage, and corrosion. The accumulation of sediments and scale will hinder the flow of water, reduce the heat exchange efficiency of the system, and even cause pipeline blockage. Damage and corrosion of pipelines may lead to leakage of circulating water, resulting in waste of water resources and damage to production equipment.

[0003] A Chinese invention patent with publication number CN116514332A discloses a circulating water treatment process for marine shrimp farming, which includes removing solid waste after sedimentation of the farming water to obtain a filtrate, and also includes: adding a modified carbon fiber adsorbent to the filtrate to remove organic matter in the water.

[0004] However, in traditional technology, the judgment of the pipeline status during the circulating water treatment process of marine shrimp farming mainly relies on manual inspection. It is impossible to accurately judge whether the internal status of the pipeline will affect the circulating water treatment process of marine shrimp farming, nor can it predict the maximum time of pipeline use without affecting the circulating water treatment process of marine shrimp farming. Therefore, frequent pipeline maintenance is required, which increases costs. Summary of the invention

[0005] The purpose of the present invention is to provide a circulating water treatment process for marine shrimp farming to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A circulating water treatment process for shrimp farming in seawater, including: microfiltration treatment, biological purification, disinfection treatment, oxygenation measures, and recycling;

[0008] And test the pipeline during circulation. The specific steps are as follows:

[0009] Step 1: Regularly inspect the pipeline to determine whether it is abnormal;

[0010] Step 2: Analyze the pipeline usage when the pipeline is abnormal, so as to predict the pipeline abnormality. The specific steps are as follows:

[0011] B1: Detect the usage of the pipeline and obtain the pipeline aging parameters;

[0012] B2: Get the equation of the fitted line;

[0013] B3: Substitute Y = pipeline parameter threshold into the fitting straight line equation to obtain the aging parameter corresponding to the pipeline parameter threshold. The aging parameter is the aging parameter prediction value for predicting the critical point of pipeline abnormality, that is, predicting pipeline abnormality based on the aging parameter prediction value.

[0014] As a further solution of the present invention: the specific steps of determining whether the pipeline is abnormal are:

[0015] A1: Regularly inspect the pipeline and obtain pipeline inspection data;

[0016] A2: Calculate and obtain pipeline parameters based on pipeline inspection data;

[0017] A3: Compare and analyze pipeline parameters to determine whether the pipeline is abnormal.

[0018] As a further solution of the present invention: the detection data includes: impurity characterization value and damage characterization value.

[0019] As a further solution of the present invention: the method for obtaining the impurity characterization value is:

[0020] The pipeline is scanned with water as the medium by sonar equipment, and the scanning results are processed by computer to obtain the water-passing cross-section inside the pipeline, the impurity volume inside the pipeline is obtained, the impurity volume is ratioed to the impurity volume threshold, the impurity characterization value is obtained, and the impurity characterization value is marked as ZZ.

[0021] As a further solution of the present invention: the method for obtaining the damage characterization value is:

[0022] The damaged area of ​​the pipeline is obtained by measuring the propagation speed of the ultrasonic wave and the reflection intensity after passing through the pipeline. The damaged area is ratio-calculated with the damage area threshold to obtain the damage characterization value, which is marked as SH.

[0023] As a further solution of the present invention: the calculation method of the pipeline parameters is:

[0024] Perform data processing on the impurity characterization value ZZ and the damage characterization value SH;

[0025] By formula: The pipeline parameter GD is calculated, where a1 and a2 are preset proportional factors and are both greater than 0.

[0026] As a further solution of the present invention: presetting the pipeline parameter threshold value as GY, and comparing and analyzing the pipeline parameter GD with the pipeline parameter threshold value GY;

[0027] If the pipeline parameter GD is less than the pipeline parameter threshold GY, it means that the impurity content in the pipeline is not high and the pipeline damage is not high, that is, the pipeline is judged to be normal;

[0028] If the pipeline parameter GD ≥ the pipeline parameter threshold GY, it means that the impurity content in the pipeline is high or the pipeline is highly damaged, that is, the pipeline is judged to be abnormal.

[0029] As a further solution of the present invention: the method for obtaining the aging parameters is:

[0030] The pipeline usage is detected to obtain the water flow velocity, water flow pressure and pipeline usage time when the pipeline is in use, and the water flow velocity, water flow pressure and usage time are multiplied to obtain the pipeline usage parameters, and the pipeline usage parameters are ratio-calculated with the pipeline usage parameter threshold to obtain the pipeline aging parameters.

[0031] As a further solution of the present invention: the fitting straight line equation is: Y=k×X+b, wherein X represents the aging parameter, Y represents the pipeline parameter, k is the slope of the fitting straight line, b is the intercept of the fitting straight line, and k and b are both constants.

[0032] As a further solution of the present invention: the method for obtaining the fitting straight line is:

[0033] Pipeline parameter analysis coordinate points are drawn in a two-dimensional coordinate system with the aging parameter as the X-axis and the pipeline parameter as the Y-axis, and a fitting straight line is obtained based on the pipeline parameter analysis coordinate points by the least squares method.

[0034] Beneficial effects of the present invention:

[0035] (1) The present invention can timely obtain impurities and damage conditions inside the pipeline by regularly inspecting the pipeline, thereby quickly determining whether the pipeline is abnormal. Once an abnormality is found, the manager can quickly take measures to ensure the normal operation of the water circulation system;

[0036] (2) The present invention can predict the time of pipeline abnormality by detecting and analyzing the use of pipelines, thereby avoiding production interruption and additional maintenance costs when the pipeline is suddenly damaged. In addition, the service life of the pipeline can be extended by maintaining or replacing the pipeline in advance according to the prediction results, further reducing operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] Figure 1 is a flow chart of the method of the present invention;

[0039] Figure 2 It is a flow chart of the method for detecting a pipeline in the present invention;

[0040] Figure 3 It is a flow chart of the method for determining whether a pipeline is abnormal in the present invention;

[0041] Figure 4 It is a flow chart of the method for predicting pipeline abnormality in the present invention;

[0042] Figure 5 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1:

[0045] See also Figure 1 As shown, the present invention is a circulating water treatment process for seawater shrimp farming, comprising:

[0046] Microfiltration treatment: The water in the breeding pond carries various impurities generated during the growth of marine shrimp. The water in the breeding pond is finely filtered through a microfiltration machine. The microfiltration machine has a high-efficiency filtering ability, which can quickly and effectively remove large particles such as shrimp shells and feces in the water, ensuring the cleanliness and transparency of the water.

[0047] Biological purification: Although the water treated by the microfiltration machine has removed large particles, it may still contain some harmful substances that are difficult to remove by physical methods. Therefore, the water enters the biological purification pool. The biological purification pool uses biological action to decompose and remove harmful substances such as nitrogen and phosphorus in the water through specific microorganisms. This process can not only further improve the water quality, but also promote the natural purification of the water quality, making the water closer to the natural state, and providing a more favorable environment for the growth of marine shrimp;

[0048] Disinfection treatment: Although harmful substances have been effectively removed from the water after biological purification, some harmful microorganisms such as bacteria and viruses may still remain. In order to ensure the biological safety of the water, the water is placed in an ultraviolet disinfection pool. Through the action of ultraviolet rays, harmful microorganisms such as bacteria and viruses in the water can be effectively killed to ensure the cleanliness and safety of the water.

[0049] Oxygenation measures: Although the safety of the water body after disinfection is guaranteed, the growth of marine shrimp still requires sufficient oxygen. Therefore, the water body is placed in a centralized aeration pool. The use of aeration equipment can effectively increase the dissolved oxygen content of the water body and create an oxygen-rich growth environment for marine shrimp. Sufficient oxygen can not only promote the metabolism of marine shrimp, but also help improve its growth rate and immunity.

[0050] Recycling: After the above series of treatments, the water is reintroduced into the breeding pond to form a closed cycle, thereby improving the utilization efficiency of water resources and reducing environmental pollution during the breeding process. During the circulation process, the pipeline needs to be inspected regularly to ensure the operating efficiency and production safety of the circulation process;

[0051] The invention embodiment is conceived as follows: the normal operation of the pipeline is crucial to maintaining the stability of water quality. If the pipeline is aged or damaged, it may cause the water quality to deteriorate, thereby affecting the growth and health of marine shrimp. By timely detecting and maintaining the pipeline, the stability of water quality can be ensured and the efficiency of marine shrimp farming can be improved; detecting the pipeline helps to timely discover possible problems with the pipeline, such as sediment, scale, damage, and corrosion. The accumulation of sediment and scale will hinder the flow of water, reduce the heat exchange efficiency of the system, and even cause pipeline blockage; and damage and corrosion of the pipeline may lead to leakage of circulating water, resulting in waste of water resources and damage to production equipment.

[0052] Embodiment 2:

[0053] Based on Example 1, please refer to Figure 2 - Figure 4 As shown, the present invention is a circulating water treatment process for seawater shrimp farming, including the specific steps of detecting the pipeline:

[0054] Step 1: Regularly inspect the pipeline to determine whether the pipeline is abnormal, so as to facilitate the judgment of whether the pipeline is abnormal when problems occur during the circulating water treatment process of seawater shrimp farming. The specific steps are:

[0055] A1: Regularly inspect the pipeline to obtain pipeline inspection data;

[0056] Among them, regular includes: one week, one month;

[0057] The test data include: impurity characterization value, damage characterization value;

[0058] A11: Use sonar equipment to detect the pipeline in use. Use the sonar equipment to scan the pipeline with water as the medium, and process the scanning results through a computer to obtain the water-passing cross-section inside the pipeline, thereby obtaining the impurity volume inside the pipeline, and calculating the ratio of the impurity volume to the impurity volume threshold to obtain the impurity characterization value, and mark the impurity characterization value as ZZ;

[0059] Among them, impurities inside the pipeline include: sediment and scale inside the pipeline;

[0060] A12: Use ultrasonic instruments to inspect the pipeline, measure the propagation speed of ultrasonic waves and the reflection intensity after passing through the pipeline, so as to obtain the damaged area of ​​the pipeline, calculate the ratio of the damaged area to the damage area threshold, and obtain the damage characterization value, which is marked as SH;

[0061] Among them, pipeline damage includes: pipeline breakage and corrosion;

[0062] A2: Calculate and obtain pipeline parameters based on pipeline inspection data;

[0063] Perform data processing on the impurity characterization value ZZ and the damage characterization value SH;

[0064] By formula: Calculate and obtain the pipeline parameter GD, where a1 and a2 are preset proportional factors and are both greater than 0;

[0065] A3: Compare and analyze pipeline parameters to determine whether the pipeline is abnormal;

[0066] The pipeline parameter threshold is preset as GY, and the pipeline parameter GD is compared and analyzed with the pipeline parameter threshold GY;

[0067] If the pipeline parameter GD is less than the pipeline parameter threshold GY, it means that the impurity content in the pipeline is not high and the pipeline damage is not high, that is, the pipeline is judged to be normal;

[0068] If the pipeline parameter GD ≥ the pipeline parameter threshold GY, it means that the impurity content in the pipeline is high or the pipeline is highly damaged, that is, the pipeline is judged to be abnormal;

[0069] Step 2: In order to prevent the occurrence of pipeline abnormalities in step 1, the pipeline usage is analyzed when the pipeline is abnormal, and the pipeline usage parameters are obtained, so as to predict the pipeline abnormality, which helps to avoid the impact of pipeline abnormalities on the water circulation process. The specific method steps are as follows:

[0070] B1: Based on the regular inspection of the pipeline in step 1 and determining whether the pipeline is abnormal, the use of the pipeline is inspected at the same time to obtain the pipeline aging parameters;

[0071] The method for obtaining the aging parameter is as follows: detecting the use of the pipeline to obtain the water flow velocity, water flow pressure and use time of the pipeline when the pipeline is used, and multiplying the water flow velocity, water flow pressure and use time to obtain the pipeline use parameter, and performing a ratio calculation between the pipeline use parameter and the pipeline use parameter threshold to obtain the pipeline aging parameter;

[0072] It should be noted that: water flow velocity is the average water flow velocity in the pipeline during the water circulation process within the detection time; water flow pressure is the average water flow pressure in the pipeline during the water circulation process within the detection time; use time is the time from the establishment of the pipeline to the detection;

[0073] In the actual use of circulating water treatment for marine shrimp farming, the water flow velocity and water pressure velocity of the pipeline are almost unchanged, that is, the change of pipeline aging parameters in actual use still mainly depends on the use time, so that managers can more easily fuzzily predict the pipeline abnormal time through the pipeline use time, and can also obtain accurate pipeline aging parameters by testing the pipeline use, so as to achieve accurate prediction of pipeline abnormal time;

[0074] B2: Based on the two-dimensional coordinate system established with the aging parameter as the X-axis and the pipeline parameter as the Y-axis, the pipeline parameter analysis coordinate points are drawn, and a fitting straight line is obtained by the least square method according to the pipeline parameter analysis coordinate points, and the fitting straight line equation is: Y = k × X + b, where X represents the aging parameter, Y represents the pipeline parameter, k is the slope of the fitting straight line, b is the intercept of the fitting straight line, and k and b are both constants;

[0075] B3: Substitute Y = pipeline parameter threshold into the fitting straight line equation to obtain the aging parameter corresponding to the pipeline parameter threshold. The aging parameter is the predicted aging parameter value for predicting the critical point of pipeline abnormality. The manager can compare the obtained aging parameter predicted value with the aging parameter obtained during actual use to analyze whether the pipeline is about to become abnormal and predict the time of pipeline abnormality, so as to facilitate the manager to maintain or replace the pipeline in time, thereby avoiding the impact of pipeline abnormality on the circulating water treatment process of marine shrimp farming.

[0076] Embodiment three:

[0077] Based on the first and second embodiments, please refer to Figure 5 As shown, a circulating water treatment system for seawater shrimp farming according to an embodiment of the present invention comprises:

[0078] The abnormality analysis module is used to regularly inspect the pipeline to determine whether the pipeline is abnormal;

[0079] The abnormality prediction module is used to analyze the pipeline usage when the pipeline is abnormal, obtain pipeline usage parameters, and thus predict pipeline abnormalities;

[0080] Among them, the abnormal analysis module includes: a data acquisition unit, a data processing unit, and a data analysis unit;

[0081] The data acquisition unit is used to regularly detect the pipeline, so as to obtain the detection data of the pipeline;

[0082] The data processing unit is used to calculate and obtain pipeline parameters according to the detection data of the pipeline;

[0083] The data analysis unit is used to compare and analyze pipeline parameters to determine whether the pipeline is abnormal;

[0084] The abnormal prediction module includes: an aging parameter acquisition unit, a drawing unit, and a prediction unit;

[0085] The aging parameter acquisition unit is used to detect the use of the pipeline, so as to obtain the pipeline aging parameters;

[0086] The drawing unit is used to obtain the equation of the fitted line;

[0087] The prediction unit is used to substitute Y=pipeline parameter threshold into the fitting straight line equation to obtain the aging parameter corresponding to the pipeline parameter threshold. The aging parameter is the aging parameter prediction value for predicting the critical point of pipeline abnormality, that is, predicting pipeline abnormality based on the aging parameter prediction value.

[0088] The working principle of the present invention includes: microfiltration treatment, biological purification, disinfection treatment, oxygenation measures, and recycling;

[0089] And test the pipeline during circulation. The specific steps are as follows:

[0090] Step 1: Regularly inspect the pipeline to determine whether it is abnormal. The specific steps are as follows:

[0091] A1: Regularly inspect the pipeline to obtain pipeline inspection data;

[0092] A2: Calculate and obtain pipeline parameters based on pipeline inspection data;

[0093] A3: Compare and analyze pipeline parameters to determine whether the pipeline is abnormal;

[0094] Step 2: Analyze the pipeline usage when the pipeline is abnormal, obtain the pipeline usage parameters, and then predict the pipeline abnormality. The specific steps are as follows:

[0095] B1: Detect the usage of the pipeline to obtain pipeline aging parameters;

[0096] B2: Get the equation of the fitted line;

[0097] B3: Substitute Y = pipeline parameter threshold into the fitting straight line equation to obtain the aging parameter corresponding to the pipeline parameter threshold. The aging parameter is the aging parameter prediction value for predicting the critical point of pipeline abnormality, that is, predicting pipeline abnormality based on the aging parameter prediction value.

[0098] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data.

[0099] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of test data and sets corresponding pipeline parameters for each group of test data; substitutes the set pipeline parameters and the collected test data into the formula, and any three formulas constitute a three-variable linear equation system. The calculated factors are screened and averaged, and the values ​​of a1 and a2 are obtained to be 3.47 and 2.23 respectively;

[0100] The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the amount of test data and the preliminary setting of corresponding pipeline parameters for each set of test data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the pipeline parameter is proportional to the value of the impurity characterization value.

[0101] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A circulating water treatment process for seawater shrimp farming, characterized in that: include: Microfiltration treatment, biological purification, disinfection, oxygenation measures, and recycling; And test the pipeline during circulation. The specific steps are as follows: Step 1: Regularly inspect the pipeline to determine whether it is abnormal; Step 2: Analyze the pipeline usage when the pipeline is abnormal, so as to predict the pipeline abnormality. The specific steps are as follows: B1: Detect the usage of the pipeline and obtain the pipeline aging parameters; B2: Get the equation of the fitted line; B3: Substitute Y = pipeline parameter threshold into the fitting straight line equation to obtain the aging parameter corresponding to the pipeline parameter threshold. The aging parameter is the aging parameter prediction value for predicting the critical point of pipeline abnormality, that is, predicting pipeline abnormality based on the aging parameter prediction value; The specific steps of determining whether the pipeline is abnormal are: A1: Regularly inspect the pipeline and obtain pipeline inspection data; A2: Calculate and obtain pipeline parameters based on pipeline inspection data; A3: Compare and analyze pipeline parameters to determine whether the pipeline is abnormal; The detection data includes: impurity characterization value and damage characterization value; The method for obtaining the impurity characterization value is: The pipeline is scanned by using a sonar device with water as the medium, and the scanning result is processed by a computer to obtain the water-passing cross-section inside the pipeline, and the impurity volume inside the pipeline is obtained. The impurity volume is calculated by ratio with the impurity volume threshold, and the impurity characterization value is obtained, and the impurity characterization value is marked as ZZ; The method for obtaining the damage characterization value is: The damaged area of ​​the pipeline is obtained by measuring the propagation speed of the ultrasonic wave and the reflection intensity after passing through the pipeline. The damaged area is calculated by ratio with the damage area threshold to obtain the damage characterization value, which is marked as SH. The calculation method of the pipeline parameters is: Perform data processing on the impurity characterization value ZZ and the damage characterization value SH; By formula: Calculate and obtain the pipeline parameter GD, where a1 and a2 are preset proportional factors and are both greater than 0; The pipeline parameter threshold is preset as GY, and the pipeline parameter GD is compared and analyzed with the pipeline parameter threshold GY; If the pipeline parameter GD is less than the pipeline parameter threshold GY, it means that the impurity content in the pipeline is not high and the pipeline damage is not high, that is, the pipeline is judged to be normal; If the pipeline parameter GD ≥ the pipeline parameter threshold GY, it means that the impurity content in the pipeline is high or the pipeline is highly damaged, that is, the pipeline is judged to be abnormal; The method for obtaining the aging parameters is: Detect the use of the pipeline, obtain the water flow velocity, water flow pressure and use time of the pipeline when the pipeline is in use, calculate the product of the water flow velocity, water flow pressure and use time to obtain the pipeline use parameter, and calculate the ratio of the pipeline use parameter to the pipeline use parameter threshold to obtain the pipeline aging parameter; The fitting straight line equation is: Y=k×X+b, where X represents the aging parameter, Y represents the pipeline parameter, k is the slope of the fitting straight line, b is the intercept of the fitting straight line, and k and b are both constants; The method for obtaining the fitting straight line is: Pipeline parameter analysis coordinate points are drawn in a two-dimensional coordinate system with the aging parameter as the X-axis and the pipeline parameter as the Y-axis, and a fitting straight line is obtained based on the pipeline parameter analysis coordinate points by the least squares method.

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