Water quality monitoring system applied to sewage treatment

Abstract

The invention discloses a water quality monitoring system applied to sewage treatment, and relates to the technical field of sewage quality monitoring. Before microorganisms are added, the uniformity of water quality is monitored and analyzed, the sewage treatment mode is confirmed, and during layered treatment, the water quality is monitored and analyzed. The method comprises the following steps: analyzing a microorganism combination scheme and a microorganism addition scheme during sewage treatment of each deep layer, during overall treatment, carrying out water quality monitoring on the microorganism combination scheme and the overall microorganism addition scheme of the sewage after microorganisms are added, and then carrying out corresponding adjustment, so that the uniformity and uniformity of the water quality treatment progress are ensured; the method is beneficial to maintaining the stability of a microorganism growth environment, so that microorganisms continuously and efficiently work in a relatively stable environment, the decomposition speed of pollutants in sewage is increased, the stability of effluent quality is ensured, the difficulty of subsequent microorganism control and regulation is reduced, the overall sewage treatment effect is improved, microorganism waste is not easily caused, and the method is suitable for industrial production. The operation cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage water quality monitoring, and in particular to a water quality monitoring system applied to sewage treatment. Background Art

[0002] Water quality monitoring can help sewage treatment plants to reasonably control operating costs. By accurately monitoring the water quality of sewage, the addition of microorganisms and other reagents during sewage purification can be controlled, excessive addition of reagents can be avoided, the waste of reagents in the sewage purification process can be reduced, and the treatment cost can be reduced.

[0003] When purifying sewage, the prior art usually selects different microbial combinations or agents based on the characteristics of the sewage, puts them into the sewage and stirs them evenly, and monitors the water quality of the sewage. When the water quality meets the purification requirements, the purification is stopped. The above scheme has at least the following shortcomings: 1. The presence of various substances in the sewage may cause large differences in water quality between sewage at different depths. Therefore, when purifying, formulating targeted purification schemes for sewage with different water qualities at different depths can improve the effect and efficiency of sewage purification. However, the prior art lacks monitoring and analysis of the water quality of sewage at different depths before purification, and it is impossible to understand the uniformity of the water quality of sewage at different depths, and then it is impossible to select a suitable purification method, and it is impossible to improve the overall efficiency of sewage purification. At the same time, it is also impossible to reduce the difference in water quality at different depths after sewage purification, which reduces the sewage treatment effect.

[0004] 2. When adding microorganisms during sewage purification, the metabolism of microorganisms can be used to decompose organic pollutants in sewage into harmless substances such as carbon dioxide and water. However, different microorganisms have different activities in different environments and sewage water quality. However, the existing technology lacks the ability to utilize the environment and water quality in sewage to select a variety of microorganisms with high activity and survival rate for combined addition. It is impossible to improve the accuracy of microbial selection and addition, and it is impossible to ensure the activity of microorganisms, thereby reducing the effect of sewage treatment.

[0005] 3. There are many ways to add microorganisms, including direct addition and inoculation addition. Selecting an addition method that can evenly purify sewage can ensure the uniformity of sewage purification progress. However, the prior art lacks an addition method that can evenly purify sewage, cannot ensure the uniformity of sewage purification progress, and cannot maintain the stability of the microbial growth environment, so that the microorganisms cannot continue to work efficiently in a relatively stable environment and reduce the decomposition rate of pollutants in sewage. In addition, the inconsistent and uneven purification progress cannot fully purify the sewage, thereby reducing the stability of the effluent water quality, and increasing the difficulty of microbial control and regulation, and is also prone to microbial waste and increased operating costs. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a water quality monitoring system for sewage treatment.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a water quality monitoring system for sewage treatment, including: an initial monitoring module, used to monitor the water quality data of each depth layer in the sewage pool before sewage treatment, determine the sewage status, and then confirm the sewage treatment mode, wherein the mode includes a layered treatment mode and an overall treatment mode.

[0008] The sewage treatment unit includes a layered treatment module and an overall treatment module.

[0009] The stratified treatment module is used to obtain environmental data in each depth layer, confirm the microbial combination plan of each depth layer, and use the environmental data of each depth layer to confirm the microbial addition plan of each depth layer, and then perform corresponding sewage treatment when the sewage treatment mode is the stratified treatment mode.

[0010] The overall treatment module is used to obtain the environmental data of the sewage when the sewage treatment mode is the overall treatment mode, then confirm the microbial combination plan of the sewage, analyze the overall microbial addition plan, and then carry out corresponding sewage treatment.

[0011] The treatment monitoring module is used to monitor the sewage treatment status during sewage treatment.

[0012] The sewage treatment regulation module is used to regulate the sewage treatment by utilizing the sewage treatment status.

[0013] The beneficial effects of the present invention are as follows: the present application provides a water quality monitoring system for sewage treatment, which monitors and analyzes the uniformity of water quality before adding microorganisms, confirms the sewage treatment mode, analyzes the microbial combination scheme and microbial addition scheme for sewage treatment at each depth layer during stratified treatment, and monitors the water quality of the sewage microbial combination scheme and the overall microbial addition scheme during overall treatment, and after adding microorganisms, makes corresponding adjustments to ensure the uniformity and uniformity of water quality treatment progress, helps maintain the stability of the microbial growth environment, thereby allowing microorganisms to continue to work efficiently in a relatively stable environment, and improves the decomposition rate of pollutants in sewage. In addition, the uniformity and uniformity of the purification progress can fully purify the sewage, thereby ensuring the stability of the effluent water quality, and reducing the difficulty of subsequent microbial control and regulation, improving the overall sewage treatment effect, and not easily causing microbial waste, thereby reducing operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] See also Figure 1 As shown, a water quality monitoring system applied to sewage treatment includes: an initial monitoring module, a sewage treatment unit, a treatment monitoring module, a sewage treatment adjustment module and a database.

[0018] The initial monitoring module is used to monitor the water quality data of each depth layer in the sewage pool before sewage treatment, determine the sewage status, and then confirm the sewage treatment mode, where the modes include layered treatment mode and overall treatment mode.

[0019] In a specific embodiment, the specific process of confirming the sewage treatment mode is as follows: Water quality data include physical index parameters, chemical index parameters and biological index parameters. Physical index parameters include chromaticity and solid content. Chemical index parameters include carbon content, total nitrogen content, total phosphorus content and heavy metal content. Biological index parameters include total bacteria count, coliform group content and fecal coliform group. It should be noted that the platinum-cobalt colorimetric method is used to obtain the chromaticity; a unit amount of water sample is dried at 103 - 105°C to constant weight and the solid content is obtained by weighing; a TOC analyzer is used to obtain the carbon content; X-ray fluorescence spectrometry or ion chromatography is used to detect the total nitrogen content, total phosphorus content and heavy metal content; the plate count method is used to obtain the total bacteria content, and the multiple tube fermentation method is used to obtain the coliform content and fecal coliform content.

[0020] The water quality data of each depth layer is recorded as , f represents the number of each depth layer, f is a positive integer, and the input sewage state analysis model expression is: , output sewage status analysis results , where F represents the number of depth layers, represents the water quality data of the f+1th depth layer, Indicates the set water quality data difference threshold.

[0021] It should be noted that the water quality data difference threshold is the critical value for judging whether the water quality gap is too large. It is set by sewage treatment staff based on work experience. When the difference between the water quality data in two depth layers is greater than the water quality data difference threshold, it indicates that the water quality gap between the two depth layers is too large. Otherwise, it indicates that the water quality gap between the two depth layers is not large.

[0022] When the sewage state analysis result is 1, it indicates that the sewage state is in a uniform water quality state, and when the sewage state analysis result is 0, it indicates that the sewage state is in an uneven water quality state.

[0023] When the sewage state is a uniform water quality state, the sewage treatment mode is an overall treatment mode. When the sewage state is an uneven water quality state, the sewage treatment mode is a layered treatment mode.

[0024] The sewage treatment unit includes a layered treatment module and an overall treatment module.

[0025] The stratified treatment module is used to obtain environmental data in each depth layer, confirm the microbial combination plan of each depth layer, and use the environmental data of each depth layer to confirm the microbial addition plan of each depth layer, and then perform corresponding sewage treatment when the sewage treatment mode is the stratified treatment mode.

[0026] In a specific embodiment, the specific process of confirming the microbial combination scheme for each depth layer is as follows: obtaining water quality data, environmental data, microbial combination schemes, survival rates of each microorganism, treatment uniformity characteristic values ​​and water quality treatment characteristic values ​​for each historical depth layer in each historical sewage treatment from historical sewage treatment records.

[0027] It should be noted that historical sewage treatment records are obtained from the database.

[0028] Environmental data includes temperature and pH value, etc. Temperature and pH value can be detected using temperature sensors and pH meters.

[0029] Different microorganisms have different activities in different environmental data, so when selecting microorganisms, it is necessary to consider the survival rate of microorganisms in different environments.

[0030] The historical depth layers corresponding to the historical sewage treatments that have the same water quality data and environmental data as those at the depth layers are selected as the reference depth layers.

[0031] Based on the types corresponding to each microorganism stored in the database, the types of each microorganism in each reference depth layer corresponding to each depth layer are obtained, and the proportion of each microorganism is obtained from the microbial combination scheme, and the type weight coefficient of each microorganism in each reference depth layer corresponding to each depth layer is set, and then the survival rate, treatment uniformity characteristic value and water quality treatment characteristic value of each microorganism in each reference depth layer corresponding to each depth layer are used to calculate the priority characteristic value of each microorganism in each type in each depth layer, and then the microorganism with the largest priority characteristic value in each type is selected as the target microorganism in each depth layer, and the weight coefficient of the corresponding type of each target microorganism is used as the proportion of each target microorganism.

[0032] In the above, the priority characteristic value of each microorganism in each type in each depth layer is calculated, and the specific process is as follows: extract the type and proportion of each microorganism, count the proportion of each microorganism in each type, and then calculate the mean to obtain the average proportion of microorganisms in each type, divide the average proportion of microorganisms in each type by the sum of the average proportions of microorganisms in each type to obtain the proportion coefficient of each type, and based on the type of each microorganism in each reference depth layer corresponding to each depth layer, obtain the type weight coefficient of each microorganism in each reference depth layer corresponding to each depth layer, which is recorded as , where f represents the number of each depth layer, g represents the number of each reference depth layer, i represents the number of each microorganism, and f, g and i are all positive integers.

[0033] The survival rate, treatment uniformity characteristic value and water quality treatment characteristic value of each microorganism in each depth layer corresponding to each reference depth layer are recorded as , and , and then use the calculation formula: , get the priority characteristic value of the i-th microorganism in the f-th depth layer , where G represents the number of reference depth layers, , The survival rate threshold and survival rate difference threshold of the i-th microorganism are set respectively.

[0034] It should be noted that the survival rate of each microorganism corresponding to each sewage treatment that does not require sewage treatment adjustment is obtained from the historical sewage treatment records, and the minimum survival rate is selected as the survival rate threshold of each microorganism; at the same time, the survival rate of each microorganism corresponding to each sewage treatment that does not require sewage treatment adjustment is calculated by difference, and the survival rate difference between each microorganism that does not require sewage treatment adjustment is obtained, and then the mean calculation is performed to obtain the survival rate difference threshold of each microorganism.

[0035] The types and priority feature values ​​corresponding to each microorganism in each depth layer are extracted, and the priority feature values ​​of each microorganism in each type in each depth layer are statistically obtained.

[0036] The content of microorganisms in each reference depth layer corresponding to each depth layer is obtained from historical sewage treatment records, and then the treatment uniformity characteristic value and water quality treatment characteristic value in each reference depth layer corresponding to each depth layer are added and calculated, and then the content of microorganisms in the reference depth layer corresponding to the maximum addition result is selected as the content of target microorganisms in each depth layer.

[0037] The proportion of each type of target microorganism in each depth layer is multiplied by the content of the target microorganism to obtain the initial content of each target microorganism in each depth layer, and thus the proportion and initial content of each target microorganism in each depth layer are used as the microbial combination scheme for each depth layer.

[0038] In another specific embodiment, the specific process of confirming the microbial addition plan for each depth layer is as follows: obtaining the microbial addition plan for each reference depth layer corresponding to each depth layer, the treatment uniformity characteristic value of the initial monitoring, and the overall water quality difference characteristic value of the sewage from the historical sewage treatment records, and counting the treatment uniformity characteristic values ​​of the initial monitoring and the overall water quality difference characteristic values ​​of the sewage corresponding to each microbial addition plan for each depth layer, and then calculating the priority characteristic values ​​of each microbial addition plan corresponding to each depth layer.

[0039] The microbial addition scheme with the largest priority characteristic value in each depth layer is selected as the microbial addition scheme for each depth layer.

[0040] The overall treatment module is used to obtain the environmental data of the sewage when the sewage treatment mode is the overall treatment mode, then confirm the microbial combination plan of the sewage, analyze the overall microbial addition plan, and then carry out corresponding sewage treatment.

[0041] It should be noted that the environmental data of sewage is the average of the environmental data of each depth layer.

[0042] Preferably, the microbial combination scheme of the sewage is confirmed and the overall microbial addition scheme is analyzed, and the specific process is: obtaining water quality data, environmental data, microbial combination scheme, survival rate of each microorganism, and treatment uniformity characteristic value of each historical sewage treatment in the overall treatment mode from historical sewage treatment records; Select historical sewage treatments whose water quality data and environmental data correspond to the same water quality data and environmental data of sewage as marked historical sewage treatments, and then confirm the microbial combination scheme and overall microbial addition scheme of sewage according to the analysis method of microbial combination scheme of each depth layer and microbial addition scheme of each depth layer.

[0043] When the sewage quality in different depth layers is uneven, stratified treatment is carried out. Microbial combination plans and microbial addition plans are formulated for sewage treatment in different depth layers. This can improve the uniformity of the overall sewage treatment progress, ensure the uniformity of water quality, ensure the stability of effluent water quality, and improve the efficiency of the entire sewage treatment. When the sewage quality in different depth layers is uniform, unified treatment is carried out to reduce the process and cost of sewage treatment and improve sewage treatment efficiency.

[0044] The treatment monitoring module is used to monitor the sewage treatment status during sewage treatment.

[0045] In a specific embodiment, the specific process of monitoring the sewage treatment status is as follows: setting each monitoring point in each depth layer, obtaining sewage samples at each monitoring point in each depth layer, and then detecting water quality data and detection content of each target microorganism in the sewage samples at each monitoring point in each depth layer as the water quality data and detection content of each target microorganism at each monitoring point in each depth layer.

[0046] It should be noted that the detection methods for the detection content of each target microorganism include plate colony counting method, fluorescent staining method and ATP determination method, etc. The specific detection process can be found on the Internet and will not be repeated here.

[0047] The detection content of each target microorganism in each monitoring point in each depth layer is averaged to obtain the detection content of each target microorganism in each depth layer, and then the detection content of each target microorganism in each depth layer is divided by the initial content of each target microorganism to obtain the survival rate of each target microorganism in each depth layer.

[0048] The water quality data of each monitoring point in each depth layer and the detection content of each target microorganism are used to analyze the treatment uniformity characteristic value and water quality treatment characteristic value in each depth layer. The water quality data of each monitoring point in each depth layer and the survival rate of each target microorganism are used to calculate the overall water quality difference characteristic value of sewage.

[0049] Preferably, the process of processing uniform characteristic value analysis in each depth layer is as follows: the water quality data of each monitoring point in each depth layer and the detection content of each target microorganism are respectively calculated as the weighted average value, and the calculation results are respectively used as the reference water quality data of each depth layer and the detection content of each target microorganism, respectively recorded as and , w represents the number of each target microorganism, and w is a positive integer.

[0050] Using the processing uniform eigenvalue analysis formula: , get the processed uniform eigenvalue in the fth depth layer , where e represents a natural constant, X and W represent the number of monitoring points and the number of target microorganisms, respectively, and x represents the number of each monitoring point, where x is a positive integer. represents the water quality data of the xth monitoring point in the fth depth layer, represents the detection content of the wth target microorganism at the xth monitoring point in the fth depth layer, Represents the type weight coefficient of the wth target microorganism in the fth depth layer.

[0051] Preferably, the analysis process of the water quality treatment characteristic value in each depth layer is: obtain the water quality data threshold from the database; when the water quality data of each monitoring point in a certain depth layer are greater than or equal to the water quality data threshold, the water quality treatment characteristic value in the depth layer is 1; when there is at least one monitoring point in a certain depth layer whose water quality data is less than the water quality data threshold, the water quality treatment characteristic value in the depth layer is 0, thereby obtaining the water quality treatment characteristic value in each depth layer.

[0052] It should be noted that the water quality data threshold refers to the water quality data that sewage needs to be treated to meet the specified standard, which is set by relevant regional units.

[0053] Preferably, the calculation process of the overall water quality difference characteristic value of the sewage is as follows: the water quality data of each monitoring point between each depth layer are difference calculated, and the maximum difference is selected as the water quality data difference between the depth layers; the survival rate of each target microorganism in each monitoring point between each depth layer is difference calculated, and the maximum difference is selected as the target microorganism survival rate difference between the depth layers.

[0054] The water quality data differences between depth layers and the target microorganism survival rate differences between depth layers were normalized, and the processed values ​​were recorded as and .

[0055] Using the calculation formula: , and obtain the overall water quality difference characteristic value of sewage .

[0056] The sewage treatment status is confirmed based on the treatment uniformity characteristic value, water quality treatment characteristic value and overall sewage water quality difference characteristic value in each depth layer.

[0057] In the above, when the treatment uniformity characteristic value is less than 1, it indicates that the sewage treatment state is in an uneven treatment state, otherwise it indicates that the sewage treatment state is in a uniform treatment state; when the water quality treatment characteristic value is 0, it indicates that the sewage treatment state is in an insufficient treatment strength state, otherwise it indicates that the sewage treatment state is in a normal treatment strength state; when the overall sewage water quality difference characteristic value is greater than 0, it indicates that the sewage treatment state is in an unqualified treatment state, otherwise it indicates that the sewage treatment state is in a qualified state.

[0058] The sewage treatment adjustment module is used to adjust the sewage treatment by using the sewage treatment state. In a specific embodiment, the specific process of adjusting the sewage treatment by using the sewage treatment state is as follows: when there is at least one depth layer with a treatment uniformity characteristic value less than 1, it indicates that the sewage treatment state is in an uneven treatment state, and each depth layer with a treatment uniformity characteristic value less than 1 is recorded as a first-class depth layer, and then the sewage in each first-class depth layer is stirred.

[0059] When there is at least one depth layer with a water quality treatment characteristic value of 0, it indicates that the sewage treatment state is in a state of insufficient treatment strength, and each depth layer with a water quality treatment characteristic value of 0 is recorded as a Class II depth layer, and then each target microorganism is added to each Class II depth layer.

[0060] When the overall sewage water quality difference characteristic value is greater than 0, each depth layer that needs to be adjusted is confirmed as each of the three types of depth layers, and each of the three types of depth layers is adjusted.

[0061] It should be noted that when the overall water quality difference characteristic value of the sewage is greater than 0, the treatment uniform characteristic value and the water quality treatment characteristic value of each depth layer are obtained, the treatment uniform characteristic value of each depth layer is averaged to obtain the treatment uniform characteristic average value, and each depth layer whose treatment uniform characteristic value is less than the treatment uniform characteristic average value or whose water quality treatment characteristic value is 0 is taken as each of the three depth layers, and then the sewage of each of the three depth layers whose treatment uniform characteristic value is less than the treatment uniform characteristic average value is stirred, and each target microorganism is added to each of the three depth layers whose water quality treatment characteristic value is 0.

[0062] The database is used to store the types of microorganisms, water quality data thresholds and historical sewage treatment records.

[0063] In the embodiment of the present application, before adding microorganisms, the uniformity of water quality is monitored and analyzed to confirm the mode of sewage treatment. During stratified treatment, the microorganism combination scheme and microorganism addition scheme for sewage treatment at each depth layer are analyzed. During overall treatment, the microorganism combination scheme and the overall microorganism addition scheme of the sewage are monitored for water quality after adding microorganisms, and then corresponding adjustments are made to ensure the uniformity and uniformity of water quality treatment progress, which helps to maintain the stability of the microbial growth environment, so that the microorganisms can continue to work efficiently in a relatively stable environment and increase the decomposition rate of pollutants in sewage. In addition, the uniformity and uniformity of the purification progress can fully purify the sewage, thereby ensuring the stability of the effluent water quality, reducing the difficulty of subsequent microbial control and regulation, improving the overall sewage treatment effect, and not easily causing microbial waste, thereby reducing operating costs.

[0064] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A water quality monitoring system for sewage treatment, characterized in that: include: The initial monitoring module is used to monitor the water quality data of each depth layer in the sewage pool before sewage treatment, determine the sewage status, and then confirm the sewage treatment mode, where the mode includes a layered treatment mode and an overall treatment mode; The sewage treatment unit includes a layered treatment module and an overall treatment module; The stratified treatment module is used to obtain environmental data in each depth layer, confirm the microbial combination scheme of each depth layer, and use the environmental data of each depth layer to confirm the microbial addition scheme of each depth layer, and then perform corresponding sewage treatment when the sewage treatment mode is the stratified treatment mode; The overall treatment module is used to obtain the environmental data of the sewage when the sewage treatment mode is the overall treatment mode, and then confirm the microbial combination plan of the sewage, analyze the overall microbial addition plan, and then perform the corresponding sewage treatment; A treatment monitoring module is used to monitor the sewage treatment status during sewage treatment; The sewage treatment regulation module is used to regulate the sewage treatment by utilizing the sewage treatment status.

2. A water quality monitoring system for sewage treatment according to claim 1, characterized in that: The specific process of confirming the sewage treatment mode is as follows: Water quality data include physical index parameters, chemical index parameters and biological index parameters. Physical index parameters include chromaticity and solid content. Chemical index parameters include carbon content, total nitrogen content, total phosphorus content and heavy metal content. Biological index parameters include total bacteria count, coliform group content and fecal coliform group. The water quality data of each depth layer is recorded as , f represents the number of each depth layer, f is a positive integer, and the input sewage state analysis model expression is: , output sewage status analysis results , where F represents the number of depth layers, represents the water quality data of the f+1th depth layer, Indicates the set water quality data difference threshold; When the sewage state analysis result is 1, it indicates that the sewage state is in a uniform water quality state, and when the sewage state analysis result is 0, it indicates that the sewage state is in a non-uniform water quality state; When the sewage state is a uniform water quality state, the sewage treatment mode is an overall treatment mode. When the sewage state is an uneven water quality state, the sewage treatment mode is a layered treatment mode.

3. A water quality monitoring system for sewage treatment according to claim 1, characterized in that: The specific process of confirming the microbial combination scheme at each depth layer is as follows: Obtain water quality data, environmental data, microbial combination schemes, survival rates of various microorganisms, and treatment uniformity characteristic values ​​of each historical depth layer in each historical sewage treatment in the stratified treatment mode from historical sewage treatment records; Select each historical depth layer corresponding to each historical sewage treatment with the same water quality data and environmental data as each depth layer as each reference depth layer; Based on the types corresponding to each microorganism stored in the database, the types of each microorganism in each reference depth layer corresponding to each depth layer are obtained, and the proportion of each microorganism is obtained from the microbial combination scheme, and the type weight coefficient of each microorganism in each reference depth layer corresponding to each depth layer is set, and then the survival rate, treatment uniformity characteristic value and water quality treatment characteristic value of each microorganism in each reference depth layer corresponding to each depth layer are used to calculate the priority characteristic value of each microorganism in each type in each depth layer, and then the microorganism with the largest priority characteristic value in each type is selected as each target microorganism in each depth layer, and the weight coefficient of the type corresponding to each target microorganism is used as the proportion of each target microorganism; The content of microorganisms in each reference depth layer corresponding to each depth layer is obtained from the historical sewage treatment records, and then the treatment uniformity characteristic value and the water quality treatment characteristic value in each reference depth layer corresponding to each depth layer are added and calculated, and then the content of microorganisms in the reference depth layer corresponding to the maximum addition result is selected as the content of target microorganisms in each depth layer; The proportion of each type of target microorganism in each depth layer is multiplied by the content of the target microorganism to obtain the initial content of each target microorganism in each depth layer, and thus the proportion and initial content of each target microorganism in each depth layer are used as the microbial combination scheme for each depth layer.

4. A water quality monitoring system for sewage treatment according to claim 3, characterized in that: The specific process of calculating the priority characteristic value of each microorganism in each type in each depth layer is as follows: The types and proportions of each microorganism were extracted, the proportions of each microorganism in each type were counted, and then the mean was calculated to obtain the average proportion of microorganisms in each type. The average proportion of microorganisms in each type was divided by the sum of the average proportions of microorganisms in each type to obtain the proportion coefficient of each type. Based on the type of each microorganism in each reference depth layer corresponding to each depth layer, the type weight coefficient of each microorganism in each reference depth layer corresponding to each depth layer was obtained, which was recorded as , where f represents the number of each depth layer, g represents the number of each reference depth layer, i represents the number of each microorganism, and f, g and i are all positive integers; The survival rate, treatment uniformity characteristic value and water quality treatment characteristic value of each microorganism in each depth layer corresponding to each reference depth layer are recorded as , and , and then use the calculation formula: , get the priority characteristic value of the i-th microorganism in the f-th depth layer , where G represents the number of reference depth layers, , Set the survival rate threshold and survival rate difference threshold of the i-th microorganism respectively; The types and priority feature values ​​corresponding to each microorganism in each depth layer are extracted, and the priority feature values ​​of each microorganism in each type in each depth layer are statistically obtained.

5. A water quality monitoring system for sewage treatment according to claim 3, characterized in that: The specific process of confirming the microbial addition scheme at each depth layer is as follows: Obtain the microbial dosing schemes corresponding to each reference depth layer, the treatment uniformity characteristic values ​​of the initial monitoring, and the overall sewage water quality difference characteristic values ​​of each depth layer corresponding to each reference depth layer from the historical sewage treatment records, calculate the treatment uniformity characteristic values ​​of each initial monitoring and the overall sewage water quality difference characteristic values ​​of each microbial dosing scheme corresponding to each depth layer, and then calculate the priority characteristic values ​​of each microbial dosing scheme corresponding to each depth layer; The microbial addition scheme with the largest priority characteristic value in each depth layer is selected as the microbial addition scheme for each depth layer.

6. A water quality monitoring system for sewage treatment according to claim 5, characterized in that: The specific process of confirming the microbial combination scheme of sewage and analyzing the overall microbial addition scheme is as follows: Obtain water quality data, environmental data, microbial combination schemes, survival rates of various microorganisms, and treatment uniformity characteristic values ​​of each historical sewage treatment in the overall treatment model from historical sewage treatment records; Select historical sewage treatments whose water quality data and environmental data correspond to the same water quality data and environmental data of sewage as marked historical sewage treatments, and then confirm the microbial combination scheme and overall microbial addition scheme of sewage according to the analysis method of microbial combination scheme of each depth layer and microbial addition scheme of each depth layer.

7. A water quality monitoring system for sewage treatment according to claim 4, characterized in that: The specific process of monitoring the sewage treatment status is as follows: Each monitoring point is set in each depth layer, and a sewage sample of each monitoring point in each depth layer is obtained, and then the water quality data and the detection content of each target microorganism in the sewage sample of each monitoring point in each depth layer are detected as the water quality data and the detection content of each target microorganism of each monitoring point in each depth layer; The detection content of each target microorganism in each monitoring point in each depth layer is averaged to obtain the detection content of each target microorganism in each depth layer, and then the detection content of each target microorganism in each depth layer is divided by the initial content of each target microorganism to obtain the survival rate of each target microorganism in each depth layer; The water quality data of each monitoring point in each depth layer and the detection content of each target microorganism are used to analyze the treatment uniformity characteristic value and water quality treatment characteristic value in each depth layer, and the water quality data of each monitoring point in each depth layer and the survival rate of each target microorganism are used to calculate the overall water quality difference characteristic value of the sewage; The sewage treatment status is confirmed based on the treatment uniformity characteristic value, water quality treatment characteristic value and overall sewage water quality difference characteristic value in each depth layer.

8. A water quality monitoring system for sewage treatment according to claim 7, characterized in that: The process of processing uniform eigenvalue analysis in each depth layer is as follows: The water quality data of each monitoring point in each depth layer and the detection content of each target microorganism were calculated by weighted average, and the calculation results were used as the reference water quality data of each depth layer and the detection content of each target microorganism, respectively, and recorded as and , w represents the number of each target microorganism, and w is a positive integer; Using the processing uniform eigenvalue analysis formula: , get the processed uniform eigenvalue in the fth depth layer , where e represents a natural constant, X and W represent the number of monitoring points and the number of target microorganisms, respectively, and x represents the number of each monitoring point, which is a positive integer. represents the water quality data of the xth monitoring point in the fth depth layer, represents the detection content of the wth target microorganism at the xth monitoring point in the fth depth layer, Represents the type weight coefficient of the wth target microorganism in the fth depth layer.

9. A water quality monitoring system for sewage treatment according to claim 7, characterized in that: The calculation process of the overall sewage water quality difference characteristic value is as follows: The water quality data of each monitoring point between each depth layer are calculated by difference, and the maximum difference is selected as the water quality data difference between the depth layers. The survival rate of each target microorganism in each monitoring point between each depth layer is calculated by difference, and the maximum difference is selected as the survival rate difference of the target microorganism between the depth layers. The water quality data differences between depth layers and the target microorganism survival rate differences between depth layers were normalized, and the processed values ​​were recorded as and ; Using the calculation formula: , and obtain the overall water quality difference characteristic value of sewage .

10. A water quality monitoring system for sewage treatment according to claim 7, characterized in that: The specific process of utilizing the sewage treatment state to adjust the sewage treatment is as follows: When there is at least one depth layer with a treatment uniformity characteristic value less than 1, it indicates that the sewage treatment state is in an uneven treatment state, and each depth layer with a treatment uniformity characteristic value less than 1 is recorded as a first-class depth layer, and then the sewage in each first-class depth layer is stirred; When there is at least one depth layer in which the water quality treatment characteristic value is 0, it indicates that the sewage treatment state is in a state of insufficient treatment strength, and each depth layer with a water quality treatment characteristic value of 0 is recorded as each Class II depth layer, and then each target microorganism is added to each Class II depth layer; When the overall sewage water quality difference characteristic value is greater than 0, each depth layer that needs to be adjusted is confirmed as each of the three types of depth layers, and each of the three types of depth layers is adjusted.

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