Intelligent sewage treatment method and equipment

Abstract

The present invention relates to the technical field of sewage treatment, and in particular to an intelligent sewage treatment method and equipment, comprising: arranging a plurality of groups of sewage treatment equipment, a group of sewage retention bins, and a group of sewage transfer bins, using the sewage retention bins to receive sewage output from user household sewage pipes, using the sewage treatment equipment to treat the sewage, and using the sewage transfer bins to receive sewage output from the sewage treatment equipment; the present invention enables the plurality of groups of sewage treatment equipment to have linkage operation conditions through the configuration of storage bins, and in the specific implementation stage, in combination with image recognition technology, performs turbidity recognition and turbidity change ratio calculation on the sewage output after treatment by the sewage treatment equipment, thereby based on the recognition and calculation results as a basis, performs reflux treatment on the sewage that has completed the purification treatment, thereby based on the reflux, the sewage can be continuously purified by using different sewage treatment equipment, thereby reducing the maintenance frequency of the sewage treatment equipment and realizing regular maintenance of the sewage treatment equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to an intelligent sewage treatment method and equipment. Background Art

[0002] Wastewater treatment is a vital environmental protection work, which plays a key role in protecting water resources and maintaining ecological balance. Wastewater treatment usually includes multiple steps such as physical, chemical and biological treatment. First, large particles of impurities in wastewater are removed through equipment such as screens. Then, heavier particles such as sand are precipitated in the grit chamber. Physical treatment can initially purify wastewater and lay the foundation for subsequent treatment.

[0003] The invention patent with application number 202210797185.8 discloses a method for intelligently adjusting parameters of sewage treatment equipment, which is characterized in that the method is applied to an intelligent system for adjusting parameters of sewage treatment equipment, and the system is communicatively connected with a sewage detection device and a simulation operation platform, and the method includes: detecting the sewage to be treated based on the sewage detection device to obtain information of the sewage to be treated; screening the historical sewage treatment scheme database according to the information of the sewage to be treated to obtain a pre-sewage treatment scheme; matching the pre-sewage treatment scheme with the sewage treatment equipment according to the sewage treatment equipment database to obtain sewage treatment equipment information; based on the sewage treatment equipment information, obtaining a simulation model of the sewage treatment equipment using simulation modeling software; simulating and running the pre-sewage treatment scheme on the sewage treatment equipment simulation model based on the simulation operation platform to obtain a pre-sewage treatment effect; based on the pre-sewage treatment effect, adjusting the parameters of the sewage treatment equipment information through the sewage treatment equipment parameter adjustment model.

[0004] This application aims to solve the problem that "in the prior art, the parameter adjustment accuracy of sewage treatment equipment is not high, which results in poor control effect of sewage treatment equipment and inability to achieve high-quality sewage treatment."

[0005] However, in the process of receiving sewage and treating sewage, the current sewage treatment equipment is equipped with multiple groups of sewage treatment equipment to treat the sewage together due to the large amount of sewage. Although this method can improve the sewage treatment speed, the pollution degree of each sewage treatment equipment is inconsistent, resulting in large differences in the attenuation cycle of the sewage treatment capacity of each sewage treatment equipment. Therefore, the frequency of sewage treatment equipment maintenance based on the attenuation of the sewage treatment capacity of the sewage treatment equipment is high, so that the maintenance cost of the sewage treatment equipment becomes high.

[0006] To this end, we proposed an intelligent sewage treatment method and equipment. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent sewage treatment method and equipment, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] In a first aspect, an intelligent sewage treatment method comprises:

[0010] Several groups of sewage treatment equipment, a group of sewage retention tanks, and a group of sewage transfer tanks are set up. The sewage retention tanks are used to receive sewage output from user household sewage pipes, the sewage treatment equipment is used to treat the sewage, and the sewage transfer tanks are used to receive sewage output from the sewage treatment equipment; the amount of sewage transmitted from each sewage treatment equipment to the sewage transfer tank is measured, and each time the sewage treatment equipment transmits sewage to the sewage transfer tank, a group of sewage images is collected after the transmission operation is completed; each group of sewage images is traversed, and the turbidity of the sewage after purification treatment is identified based on the sewage image, and the turbidity of the identified sewage after treatment is marked on the corresponding sewage image; the turbidity change ratio of the sewage after purification treatment stored in the sewage transfer tank is identified, and the sewage treatment equipment with the strongest purification ability is captured based on the turbidity change ratio; the sewage treatment equipment with the strongest purification ability is obtained, and the sewage treatment equipment is used as the return target of the sewage that has been treated stored in the sewage transfer tank, and the sewage is returned to the sewage treatment equipment for purification treatment again; the refresh step is executed.

[0011] Furthermore, the number of sewage treatment equipment is customized by the user end, and the number of sewage treatment equipment is subject to the setting number. The more users there are, the more sewage treatment equipment there are. Conversely, the fewer sewage treatment equipment there are, the sewage retention tank is connected to the input end of each sewage treatment equipment through a pipeline, and the sewage transfer tank is connected to the output end and the input end of the sewage treatment equipment through a pipeline;

[0012] Among them, the sewage is purified in the sewage treatment equipment, and the sewage transmitted to the sewage transfer tank by the sewage treatment equipment is the sewage after purification. During the operation stage of the sewage treatment equipment, the sewage output from the user's household sewage pipe received by the sewage retention tank is stored in the sewage retention tank. After the discharge operation of the sewage after the sewage transfer tank completes the treatment is completed, the sewage stored in the sewage retention tank is transmitted to the sewage treatment equipment.

[0013] Furthermore, when any group of the sewage treatment equipment is transmitting the purified sewage to the sewage transfer tank, the other sewage treatment equipment is in a waiting state, so that the sewage transfer tank only receives the purified sewage transmitted by one group of sewage treatment equipment at the same time. After the sewage image is collected, the sewage image is stored by the storage device, and the collection timestamp of the stored sewage image is synchronously marked during storage.

[0014] Furthermore, the identification logic of the turbidity of the sewage after the purification treatment is expressed as:

[0015]

[0016] Where: T is the turbidity of the sewage after purification; n is the set of regions in the sewage image; H i is the gray value of the i-th region in the sewage image; ω is the weight; m is the total amount of different color values ​​displayed by each pixel in the sewage image; ξ is the texture feature value of the sewage image; I is the light intensity of the sewage image when performing the acquisition operation;

[0017] The greater the turbidity T of the sewage after purification treatment, the more turbid the sewage after treatment; conversely, the clearer the sewage after treatment. Table pair , ω<(1-ω).

[0018] Furthermore, when the sewage image is calculated based on the turbidity T calculation formula of the sewage after the purification treatment, the sewage image is segmented synchronously to obtain a plurality of groups of sub-sewage images;

[0019] Among them, when the sewage image is segmented, the segmentation operation is performed based on the axis network, so that the obtained groups of sub-sewage images are equal in size and shape; when the sewage image is segmented, the number of segmentations follows: the longer the cumulative time of a single operation of the sewage treatment equipment and the larger the storage capacity of the sewage transfer tank, the more segmentations there are, and vice versa, the fewer segmentations there are.

[0020] Furthermore, the sewage image texture characteristic value ξ is obtained by the following formula:

[0021]

[0022] Where: L is the grayscale level; P(u,v) is the normalized value of the number of occurrences of two pixels with grayscale values ​​u and v in the specified direction and distance; f∈[0,L-1]; μ x , μ y is the mean of the gray-level co-occurrence matrix in the horizontal direction and the mean of the gray-level co-occurrence matrix in the vertical direction; σ x , σ y is the standard deviation of the gray-level co-occurrence matrix in the horizontal direction and the standard deviation of the gray-level co-occurrence matrix in the vertical direction;

[0023] Among them, the sewage image texture eigenvalue and the sum of image energy, contrast and correlation.

[0024] Furthermore, the turbidity change ratio calculation formula is:

[0025]

[0026] In the formula: k is the turbidity change ratio; g1 is the amount of sewage that has been purified in the sewage transfer tank at T1; g2 is the amount of sewage that has been purified in the sewage transfer tank at T2; T1 is the turbidity of the sewage after the last purification treatment; T2 is the turbidity of the sewage after the next purification treatment;

[0027] Among them, when T1-T2>0, the larger the k is, the weaker the sewage treatment capacity of the corresponding sewage treatment equipment is, and vice versa, the stronger the sewage treatment capacity of the corresponding sewage treatment equipment is. When T1-T2<0, the larger the k is, the stronger the sewage treatment capacity of the corresponding sewage treatment equipment is, and vice versa, the weaker the sewage treatment capacity of the corresponding sewage treatment equipment is. When capturing the sewage treatment equipment with the strongest purification capacity, in the calculation stage of the turbidity change ratio corresponding to the sewage treatment equipment, when T1-T2>0 and T1-T2<0 exist at the same time, any group of sewage treatment equipment with the strongest purification capacity is selected as the final capture result.

[0028] Furthermore, the sewage stored in the sewage transfer tank is tested based on a water quality analyzer and a microbial detection device to see if it meets the discharge standard. If the test result is yes, the sewage that has completed the purification treatment is discharged from the sewage transfer tank. Otherwise, the reflux operation is continuously performed.

[0029] Among them, after the sewage transfer tank completes the discharge of purified sewage, the sewage retention tank runs simultaneously to perform the operation of diverting and transmitting sewage to the sewage treatment equipment.

[0030] Furthermore, the connecting pipes between the sewage treatment equipment, the sewage retention tank and the sewage transfer tank are connected based on electric control valves, and the transmission and direction of the sewage or the sewage after purification treatment are controlled based on the electric control valves.

[0031] In a second aspect, an intelligent sewage treatment device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, an execution step of an intelligent sewage treatment method is implemented;

[0032] Among them, the sewage treatment equipment is the EGA intelligent tank.

[0033] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0034] The present invention provides an intelligent sewage treatment method. During the execution of the method, a plurality of sewage treatment equipments are equipped with linkage operation conditions through the configuration of storage bins. In the specific implementation stage, the method is combined with image recognition technology to identify the turbidity of the sewage output after the sewage treatment equipment is treated and the turbidity change ratio is calculated. Based on the recognition and calculation results, the sewage that has completed the purification treatment is subjected to reflux treatment. Based on the reflux, the sewage can be continuously purified by different sewage treatment equipments. In addition, in the process of such reflux logic processing, the sewage treatment capacity of each sewage treatment equipment is gradually attenuated and tends to a balanced state, thereby reducing the maintenance frequency of the sewage treatment equipment and realizing regular maintenance of the sewage treatment equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] 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, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 It is a schematic diagram of a process of an intelligent sewage treatment method;

[0037] Figure 2 It is a schematic diagram of the connection structure of the sewage retention tank, the sewage transfer tank and the sewage treatment equipment in the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0039] The present invention will be further described below in conjunction with the embodiments.

[0040] Embodiment 1:

[0041] An intelligent sewage treatment method of this embodiment, such as Figure 1 As shown, including:

[0042] Step 1: Set up several groups of sewage treatment equipment, one group of sewage retention tanks, and one group of sewage transfer tanks. Use the sewage retention tanks to receive sewage output from the user's household sewage pipes, use the sewage treatment equipment to treat the sewage, and use the sewage transfer tanks to receive sewage output from the sewage treatment equipment;

[0043] Step 2: Measure the amount of sewage transmitted from each sewage treatment device to the sewage transfer bin, and collect a set of sewage images after the transmission operation is completed each time the sewage treatment device transmits sewage to the sewage transfer bin;

[0044] Step 3: traverse each group of sewage images, identify the turbidity of the sewage after purification based on the sewage image, and mark the identified turbidity of the sewage after treatment on the corresponding sewage image;

[0045] The identification logic of the turbidity of the sewage after purification is expressed as:

[0046]

[0047] Where: T is the turbidity of the sewage after purification; n is the set of regions in the sewage image; H i is the gray value of the i-th region in the sewage image; ω is the weight; m is the total amount of different color values ​​displayed by each pixel in the sewage image; ξ is the texture feature value of the sewage image; I is the light intensity of the sewage image when performing the acquisition operation;

[0048] The greater the turbidity T of the sewage after purification treatment, the more turbid the sewage after treatment; conversely, the clearer the sewage after treatment. Table pair ,ω<(1-ω);

[0049] When the sewage image is calculated based on the turbidity T calculation formula of the sewage after the purification treatment, the sewage image is segmented synchronously to obtain a plurality of groups of sub-sewage images;

[0050] When the sewage image is segmented, the segmentation operation is performed based on the axis grid, so that the obtained groups of sub-sewage images are equal in size and shape; when the sewage image is segmented, the number of segments follows: the longer the cumulative time of a single operation of the sewage treatment equipment and the larger the storage capacity of the sewage transfer tank, the more the number of segments, and vice versa.

[0051] The sewage image texture eigenvalue ξ is obtained by the following formula:

[0052]

[0053] Where: L is the grayscale level; P(u,v) is the normalized value of the number of occurrences of two pixels with grayscale values ​​u and v in the specified direction and distance; f∈[0,L-1]; μ x , μ y is the mean of the gray-level co-occurrence matrix in the horizontal direction and the mean of the gray-level co-occurrence matrix in the vertical direction; σx , σ y is the standard deviation of the gray-level co-occurrence matrix in the horizontal direction and the standard deviation of the gray-level co-occurrence matrix in the vertical direction;

[0054] Among them, the sum of the sewage image texture eigenvalue and image energy, contrast and correlation

[0055] Step 4: Identify the turbidity change ratio of the sewage after purification treatment stored in the sewage transfer tank, and capture the sewage treatment equipment with the strongest purification capacity based on the turbidity change ratio;

[0056] The formula for calculating the turbidity change ratio is:

[0057]

[0058] In the formula: k is the turbidity change ratio; g1 is the amount of sewage that has been purified in the sewage transfer tank at T1; g2 is the amount of sewage that has been purified in the sewage transfer tank at T2; T1 is the turbidity of the sewage after the last purification treatment; T2 is the turbidity of the sewage after the next purification treatment;

[0059] Among them, when T1-T2>0, the larger the k, the weaker the sewage treatment capacity of the corresponding sewage treatment equipment, and vice versa, the stronger the sewage treatment capacity of the corresponding sewage treatment equipment. When T1-T2<0, the larger the k, the stronger the sewage treatment capacity of the corresponding sewage treatment equipment, and vice versa, the weaker the sewage treatment capacity of the corresponding sewage treatment equipment. When capturing the sewage treatment equipment with the strongest purification capacity, in the calculation stage of the turbidity change ratio corresponding to the sewage treatment equipment, when T1-T2>0 and T1-T2<0 exist at the same time, any group of sewage treatment equipment with the strongest purification capacity is selected as the final capture result;

[0060] Step 5: Obtain the sewage treatment equipment with the strongest purification capacity, and use the sewage treatment equipment as the return target of the sewage transfer warehouse to return the treated sewage stored in the sewage treatment equipment to perform purification treatment again;

[0061] Step 6: Refresh step execution.

[0062] In this embodiment, by executing the steps of the method in the above embodiment, a linkage control logic is provided for the sewage treatment equipment group used for sewage treatment, so that each sewage treatment equipment can adaptively share the sewage treatment task with each other, thereby ensuring the sewage treatment effect and the stability of the sewage treatment capacity attenuation of the sewage treatment equipment.

[0063] Embodiment 2:

[0064] In terms of specific implementation, based on Example 1, this example refers to Figure 1The intelligent sewage treatment method in Example 1 is further described in detail:

[0065] The number of sewage treatment equipment is customized by the user, and the number of sewage treatment equipment is subject to the user. The more users there are, the more sewage treatment equipment there are. Conversely, the fewer sewage treatment equipment there are, the sewage retention tank is connected to the input end of each sewage treatment equipment through a pipeline, and the sewage transfer tank is connected to the output end and input end of the sewage treatment equipment through a pipeline;

[0066] Among them, the sewage is purified in the sewage treatment equipment, and the sewage transmitted by the sewage treatment equipment to the sewage transfer tank is the sewage that has completed the purification treatment. During the operation stage of the sewage treatment equipment, the sewage output from the user's household sewage pipe received by the sewage retention tank is stored in the sewage retention tank. After the sewage transfer tank completes the discharge operation of the treated sewage, the sewage stored in the sewage retention tank is transmitted to the sewage treatment equipment;

[0067] When any group of sewage treatment equipment transmits the purified sewage to the sewage transfer tank, other sewage treatment equipment is in a waiting state, so that the sewage transfer tank only receives the purified sewage transmitted by one group of sewage treatment equipment at the same time. After the sewage image is collected, the sewage image is stored through the storage device, and the collection timestamp of the stored sewage image is synchronously marked during storage.

[0068] like Figure 1 As shown, the sewage stored in the sewage transfer tank is tested based on the water quality analyzer and microbial detection equipment to see if it meets the discharge standards. If the test result is yes, the sewage that has completed the purification treatment is discharged from the sewage transfer tank. Otherwise, the reflux operation is continuously performed.

[0069] Among them, after the sewage transfer tank discharges the purified sewage, the sewage retention tank simultaneously operates to divert and transmit the sewage to the sewage treatment equipment;

[0070] The pipelines connecting the sewage treatment equipment, sewage retention tank and sewage transfer tank are connected based on electric control valves, and the transmission and direction of sewage or sewage after purification treatment are controlled based on the electric control valves.

[0071] In this embodiment, through the above settings, further step execution data support is provided for the step execution of the method in Example 1, ensuring the stable execution of the steps of the method in Example 1 and performing intelligent logical control of the sewage treatment equipment.

[0072] Embodiment 3:

[0073] At the specific implementation level, based on Example 1, this example further specifically describes an intelligent sewage treatment method in Example 1:

[0074] An intelligent sewage treatment device, the treatment device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the execution steps of an intelligent sewage treatment method are realized;

[0075] Among them, the sewage treatment equipment is the EGA intelligent tank.

[0076] In summary, during the execution of the method in the above embodiment, through the configuration of the storage bin, multiple groups of sewage treatment equipment are equipped with the conditions for linkage operation. In the specific implementation stage, combined with image recognition technology, the turbidity of the sewage output after treatment by the sewage treatment equipment is identified and the turbidity change ratio is calculated, so that based on the identification and calculation results, the sewage that has completed the purification treatment is returned. Based on the return flow, the sewage can be continuously purified by different sewage treatment equipment, and in this return logic processing process, the sewage treatment capacity of each sewage treatment equipment gradually tends to a balanced state, thereby reducing the maintenance frequency of the sewage treatment equipment and realizing regular maintenance of the sewage treatment equipment.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent sewage treatment method, characterized in that: include: Step 1: Set up several groups of sewage treatment equipment, one group of sewage retention tanks, and one group of sewage transfer tanks. Use the sewage retention tanks to receive sewage output from the user's household sewage pipes, use the sewage treatment equipment to treat the sewage, and use the sewage transfer tanks to receive sewage output from the sewage treatment equipment; Step 2: Measure the amount of sewage transmitted from each sewage treatment device to the sewage transfer bin, and collect a set of sewage images after the transmission operation is completed each time the sewage treatment device transmits sewage to the sewage transfer bin; Step 3: traverse each group of sewage images, identify the turbidity of the sewage after purification based on the sewage image, and mark the identified turbidity of the sewage after treatment on the corresponding sewage image; Step 4: Identify the turbidity change ratio of the sewage after purification treatment stored in the sewage transfer tank, and capture the sewage treatment equipment with the strongest purification capacity based on the turbidity change ratio; Step 5: Obtain the sewage treatment equipment with the strongest purification capacity, and use the sewage treatment equipment as the return target of the sewage transfer warehouse to return the treated sewage stored in the sewage treatment equipment to perform purification treatment again; Step 6: Refresh step execution; The identification logic of the turbidity of the sewage after the purification treatment is expressed as: Where: T is the turbidity of the sewage after purification; n is the set of regions in the sewage image; H i is the gray value of the ith region in the sewage image; ω is the weight; m is the total number of different color value types displayed by each pixel in the sewage image; ξ is the texture feature value of sewage image; I is the light intensity of the sewage image when the acquisition operation is performed; The greater the turbidity T of the sewage after purification treatment, the more turbid the sewage after treatment; conversely, the clearer the sewage after treatment. Table pair ,ω<(1-ω); The sewage image texture characteristic value ξ is obtained by the following formula: Where: L is the grayscale level; P(u,v) is the normalized value of the number of occurrences of two pixels with grayscale values ​​u and v in the specified direction and distance; f∈[0,L-1]; μ x , μ y is the mean of the gray-level co-occurrence matrix in the horizontal direction and the mean of the gray-level co-occurrence matrix in the vertical direction; σ x , σ y is the standard deviation of the gray-level co-occurrence matrix in the horizontal direction and the standard deviation of the gray-level co-occurrence matrix in the vertical direction; Among them, the sewage image texture eigenvalue and the sum of image energy, contrast and correlation.

2. An intelligent sewage treatment method according to claim 1, characterized in that: The number of sewage treatment equipment to be set is customized by the user end, and the number of sewage treatment equipment to be set is subject to the user end. The more users there are, the more sewage treatment equipment to be set. Conversely, the fewer sewage treatment equipment to be set, the sewage retention bin is connected to the input end of each sewage treatment equipment through a pipeline, and the sewage transfer bin is connected to the output end and the input end of the sewage treatment equipment through a pipeline; Among them, the sewage is purified in the sewage treatment equipment, and the sewage transmitted to the sewage transfer tank by the sewage treatment equipment is the sewage after purification. During the operation stage of the sewage treatment equipment, the sewage output from the user's household sewage pipe received by the sewage retention tank is stored in the sewage retention tank. After the discharge operation of the sewage after the sewage transfer tank completes the treatment is completed, the sewage stored in the sewage retention tank is transmitted to the sewage treatment equipment.

3. An intelligent sewage treatment method according to claim 1, characterized in that: When any group of the sewage treatment equipment transmits the purified sewage to the sewage transfer tank, the other sewage treatment equipment is in a waiting state, so that the sewage transfer tank only receives the purified sewage transmitted by one group of sewage treatment equipment at the same time. After the sewage image is collected, the sewage image is stored by the storage device, and the collection timestamp of the stored sewage image is synchronously marked during storage.

4. An intelligent sewage treatment method according to claim 1, characterized in that: When the sewage image is calculated based on the turbidity T calculation formula of the sewage after the purification treatment, the sewage image is segmented synchronously to obtain a plurality of groups of sub-sewage images; Among them, when the sewage image is segmented, the segmentation operation is performed based on the axis network, so that the obtained groups of sub-sewage images are equal in size and shape; when the sewage image is segmented, the number of segmentations follows: the longer the cumulative time of a single operation of the sewage treatment equipment and the larger the storage capacity of the sewage transfer tank, the more segmentations there are, and vice versa, the fewer segmentations there are.

5. The intelligent sewage treatment method according to claim 1, characterized in that: The turbidity change ratio calculation formula is: In the formula: k is the turbidity change ratio; g1 is the amount of sewage that has been purified in the sewage transfer tank at T1; g2 is the amount of sewage that has been purified in the sewage transfer tank at T2; T1 is the turbidity of the sewage after the last purification treatment; T2 is the turbidity of the sewage after the next purification treatment; Among them, when T1-T2>0, the larger the k is, the weaker the sewage treatment capacity of the corresponding sewage treatment equipment is, and vice versa, the stronger the sewage treatment capacity of the corresponding sewage treatment equipment is. When T1-T2<0, the larger the k is, the stronger the sewage treatment capacity of the corresponding sewage treatment equipment is, and vice versa, the weaker the sewage treatment capacity of the corresponding sewage treatment equipment is. When capturing the sewage treatment equipment with the strongest purification capacity, in the calculation stage of the turbidity change ratio corresponding to the sewage treatment equipment, when T1-T2>0 and T1-T2<0 exist at the same time, any group of sewage treatment equipment with the strongest purification capacity is selected as the final capture result.

6. An intelligent sewage treatment method according to claim 5, characterized in that: The sewage stored in the sewage transfer tank is tested based on water quality analyzers and microbial detection equipment to see if it meets the discharge standards. If the test result is yes, the sewage that has completed the purification treatment is discharged from the sewage transfer tank. Otherwise, the reflux operation is continuously performed. Among them, after the sewage transfer tank completes the discharge of purified sewage, the sewage retention tank runs simultaneously to perform the operation of diverting and transmitting sewage to the sewage treatment equipment.

7. An intelligent sewage treatment method according to claim 1, characterized in that: The connecting pipes between the sewage treatment equipment, the sewage retention tank and the sewage transfer tank are connected based on electric control valves, and the transmission and direction of the sewage or the sewage after purification treatment are controlled based on the electric control valves.

8. An intelligent sewage treatment device, the device is an implementation device of an intelligent sewage treatment method as claimed in any one of claims 1 to 7, characterized in that: The processing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the execution steps of an intelligent sewage treatment method according to any one of claims 1 to 7 are implemented; Among them, the sewage treatment equipment is the EGA intelligent tank.

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