A water quality monitoring system applied to sewage treatment

Abstract

The present invention discloses a water quality monitoring system applied to sewage treatment, which relates to the technical field of sewage water quality monitoring. Before adding microorganisms, the present invention monitors and analyzes the uniformity of water quality, confirms the sewage treatment mode. During stratified treatment, it analyzes the microorganism combination plan and microorganism addition plan for sewage treatment at each depth layer. During overall treatment, it analyzes the microorganism combination plan and overall microorganism addition plan for sewage, and after adding microorganisms, it conducts water quality monitoring and then makes corresponding adjustments to ensure the unity and uniformity of the water quality treatment progress, which helps to maintain the stability of the microorganism growth environment, so that the microorganisms can continuously work efficiently in a relatively stable environment, improve the decomposition speed of pollutants in the sewage, ensure the stability of the effluent water quality, reduce the difficulty of subsequent microorganism control and regulation, improve the overall sewage treatment effect, and is not easy to cause microorganism waste, reducing the operation cost.

Description

Technical Field

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

[0002] Water quality monitoring can help sewage treatment plants reasonably control operating costs. By accurately monitoring the water quality of sewage, the dosing of reagents such as microorganisms during sewage purification can be controlled, over-dosing of reagents can be avoided, waste of reagents in the sewage purification process can be reduced, and treatment costs can be decreased.

[0003] In the prior art when purifying sewage, usually based on the characteristics of the sewage, different combinations of microorganisms or reagents are selected, put into the sewage and stirred evenly, and the water quality of the sewage is monitored. When the water quality meets the purification requirements, the purification is stopped. For the above scheme, there are at least the following deficiencies: 1. There are various substances in the sewage, which may lead to large differences in water quality between sewage at different depths. Therefore, when carrying out purification, formulating targeted purification schemes for sewage with different water qualities at different depths can improve the effect and efficiency of sewage purification. However, in the prior art, there is a lack of monitoring and analysis of the water quality of sewage at different depths before purification, and it is impossible to understand the water quality uniformity of sewage at different depths. Then, it is impossible to select a suitable purification method, impossible to improve the overall purification efficiency of sewage, and at the same time, it is impossible to reduce the water quality differences at different depths after sewage purification, reducing the sewage treatment effect.

[0004] 2. When adding microorganisms during sewage purification, the metabolic action of microorganisms can be utilized to decompose organic pollutants in the sewage into harmless substances such as carbon dioxide and water. However, the activities of different microorganisms are different in different environments and sewage water qualities. However, in the prior art, there is a lack of using the environment and water quality in the sewage to select a combination of multiple microorganisms with relatively high activities and survival rates for dosing, and it is impossible to improve the accuracy of microorganism selection and dosing, impossible to ensure the activity of microorganisms, thereby reducing the sewage treatment effect.

[0005] 3. The dosing methods of microorganisms include various dosing methods such as direct dosing and inoculation dosing. Selecting a dosing method that can evenly purify sewage can ensure the unity of the sewage purification progress. However, in the prior art, there is a lack of selecting a dosing method that can evenly purify sewage, and it is impossible to ensure the unity of the sewage purification progress, impossible to maintain the stability of the microorganism growth environment, and thus impossible to allow microorganisms to continuously work efficiently in a relatively stable environment, reducing the decomposition rate of pollutants in the sewage. In addition, the non-uniform and inconsistent purification progress cannot fully purify all the sewage, thereby reducing the stability of the effluent water quality, increasing the difficulty of microorganism control and regulation, and also easily causing waste of microorganisms and increasing operating costs. Summary of the Invention

[0006] Aiming at the above-mentioned existing technical deficiencies, the purpose of the present invention is to provide a water quality monitoring system applied to 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 applied to sewage treatment, including: an initial monitoring module, which is used to monitor the water quality data of each depth layer in the sewage pool before sewage treatment, determine the sewage state, and then confirm the sewage treatment mode, where the mode includes a stratified treatment mode and an overall treatment mode.

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

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

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

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

[0012] The sewage treatment adjustment module is used to perform sewage treatment adjustment by using the sewage treatment status.

[0013] The beneficial effects of the present invention are as follows: The present application provides a water quality monitoring system applied to sewage treatment. Before microbial dosing, it monitors and analyzes the uniformity of water quality, confirms the sewage treatment mode. During stratified treatment, it analyzes the microbial combination plan and microbial dosing plan for each depth layer during sewage treatment. During overall treatment, it analyzes the microbial combination plan and overall microbial dosing plan of the sewage, and after adding microorganisms, it conducts water quality monitoring and then makes corresponding adjustments to ensure the unity and uniformity of the water quality treatment progress, which helps to maintain the stability of the microbial growth environment, so that microorganisms can continuously and efficiently work in a relatively stable environment, improve the decomposition speed of pollutants in sewage. In addition, the unity and uniformity of the purification progress can make the sewage be fully purified, thus 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, reducing the operating cost. Description of the Drawings

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

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

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0017] Please refer to 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 state, and then confirm the sewage treatment mode, where the mode includes a stratified treatment mode and an overall treatment mode.

[0019] In a specific embodiment, the process of confirming the sewage treatment mode is as follows:

[0020] The water quality data includes physical index parameters, chemical index parameters, and biological index parameters. The physical index parameters include chromaticity and solid content. The chemical index parameters include carbon content, total nitrogen content, total phosphorus content, and heavy metal content. The biological index parameters include total bacterial count, coliform group content, and fecal coliform group;

[0021] It should be noted that the chromaticity is obtained by the platinum-cobalt colorimetric method; a unit amount of water sample is dried to a constant weight at 103 - 105 °C, and the solid content is obtained by weighing; the carbon content is obtained by using a TOC analyzer; the total nitrogen content, total phosphorus content, and heavy metal content are detected by using X-ray fluorescence spectrometry or ion chromatography, etc.; the total bacterial count is obtained by using the plate counting method, and the coliform group content and fecal coliform group are obtained by using the multiple-tube fermentation method.

[0022] Record the water quality data of each depth layer as , where f represents the number of each depth layer, f is a positive integer, and input it into the sewage state analysis model expression: , and output the sewage state analysis result , where F represents the number of depth layers, represents the water quality data of the (f + 1)-th depth layer, represents the set threshold of water quality data difference.

[0023] It should be noted that the threshold of water quality data difference is the critical value for judging whether the water quality gap is too large, which is set by sewage treatment staff according to work experience. When the difference between the water quality data of two depth layers is greater than the threshold of water quality data difference, 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.

[0024] When the sewage state analysis result is 1, it indicates that the sewage state is a water quality uniform state; when the sewage state analysis result is 0, it indicates that the sewage state is a water quality non-uniform state.

[0025] When the sewage state is a water quality uniform state, the sewage treatment mode is an overall treatment mode; when the sewage state is a water quality non-uniform state, the sewage treatment mode is a stratified treatment mode.

[0026] The sewage treatment unit includes a stratified treatment module and an overall treatment module.

[0027] The stratified treatment module is used to obtain the environmental data in each depth layer, confirm the microbial combination scheme for each depth layer, and use the environmental data of each depth layer to confirm the microbial dosing scheme for each depth layer when the sewage treatment mode is the stratified treatment mode, and then perform corresponding sewage treatment.

[0028] In a specific embodiment, the process of confirming the microbial combination scheme for each depth layer is as follows: obtain the water quality data, environmental data, microbial combination scheme, survival rate of each microorganism, treatment uniformity eigenvalue, and water quality treatment eigenvalue of each historical depth layer in each historical sewage treatment from the historical sewage treatment records.

[0029] It should be noted that the historical sewage treatment records are obtained from the database.

[0030] The environmental data includes temperature, pH value, etc. The temperature and pH value can be detected by a temperature sensor and a pH meter.

[0031] Different microorganisms have different activities in different environmental data. Therefore, when selecting microorganisms, the survival rate of microorganisms in different environments needs to be considered.

[0032] Select each historical depth layer corresponding to each historical sewage treatment with the same water quality data and environmental data as each reference depth layer for each depth layer.

[0033] Based on the types of each microorganism stored in the database, obtain the types of each microorganism in each depth layer corresponding to each reference depth layer, obtain the proportion of each microorganism from the microorganism combination plan, set the type weight coefficient of each microorganism in each depth layer corresponding to each reference depth layer, and then use the survival rate, treatment uniformity eigenvalue, and water quality treatment eigenvalue of each microorganism in each depth layer corresponding to each reference depth layer to calculate the priority eigenvalue of each microorganism within each type in each depth layer. Then, select the microorganism with the largest priority eigenvalue in each type as the target microorganism in each depth layer, and use the weight coefficient of the type corresponding to each target microorganism as the proportion of each target microorganism.

[0034] Among the above, the specific process of calculating the priority eigenvalue of each microorganism within each type in each depth layer is as follows: Extract the type and proportion of each microorganism, count the proportion of each microorganism in each type, and then perform an average calculation to obtain the average proportion of microorganisms in each type. Divide the average proportion of microorganisms in each type by the total 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 depth layer corresponding to each reference depth layer, obtain the type weight coefficient of each microorganism in each depth layer corresponding to each reference depth layer, denoted 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.

[0035] Denote the survival rate, treatment uniformity eigenvalue, and water quality treatment eigenvalue of each microorganism in each depth layer corresponding to each reference depth layer as , and respectively, and then use the calculation formula: , to obtain the priority eigenvalue of the i-th microorganism in the f-th depth layer. In the formula, G represents the number of reference depth layers, , are the survival rate threshold and survival rate difference threshold set for the i-th microorganism respectively.

[0036] It should be noted that obtain the survival rate of each microorganism corresponding to each sewage treatment that does not require sewage treatment adjustment from the historical sewage treatment records, and select the minimum survival rate as the survival rate threshold for each microorganism; at the same time, perform a difference calculation on the survival rates of each microorganism corresponding to each sewage treatment that does not require sewage treatment adjustment to obtain the survival rate differences between each microorganism that does not require sewage treatment adjustment, and then perform an average calculation to obtain the survival rate difference threshold for each microorganism.

[0037] Extract the type and priority eigenvalue corresponding to each microorganism in each depth layer, and count to obtain the priority eigenvalue of each microorganism within each type in each depth layer.

[0038] Obtain the content of microorganisms in each reference depth layer corresponding to each depth layer from the historical sewage treatment records, then add and calculate the treatment uniformity characteristic value and water quality treatment characteristic value corresponding to each reference depth layer in each depth layer, and then select the content of microorganisms in the reference depth layer corresponding to the largest addition result as the content of the target microorganisms in each depth layer.

[0039] Multiply the proportion of the target microorganisms in each type in each depth layer by the content of the target microorganisms to obtain the initial content of each target microorganism in each depth layer, and thus use the proportion and initial content of each target microorganism in each depth layer as the microbial combination plan for each depth layer.

[0040] In another specific embodiment, the process of confirming the microbial dosing plan for each depth layer is as follows: Obtain the microbial dosing plan, the initial treatment uniformity characteristic value of the first monitoring, and the overall water quality difference characteristic value of the sewage corresponding to each depth layer from the historical sewage treatment records, count the initial treatment uniformity characteristic value of the first monitoring and the overall water quality difference characteristic value corresponding to each microbial dosing plan in each depth layer, and then calculate the priority characteristic value corresponding to each microbial dosing plan in each depth layer.

[0041] Select the microbial dosing plan with the largest priority characteristic value in each depth layer as the microbial dosing plan for each depth layer.

[0042] 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 dosing plan, and then perform the corresponding sewage treatment.

[0043] It should be noted that the environmental data of the sewage is the average value of the environmental data of each depth layer.

[0044] Preferably, the process of confirming the microbial combination plan of the sewage and analyzing the overall microbial dosing plan is as follows: Obtain the water quality data, environmental data, microbial combination plan, survival rate of each microorganism, and treatment uniformity characteristic value of each historical sewage treatment in the overall treatment mode from the historical sewage treatment records;

[0045] Select each historical sewage treatment with the water quality data and environmental data corresponding to the same as those of the sewage as each marked historical sewage treatment, and then confirm the microbial combination plan of the sewage and the overall microbial dosing plan according to the analysis method of the microbial combination plan and the microbial dosing plan of each depth layer.

[0046] When the sewage quality is uneven in different depth layers, stratified treatment is carried out, and a microbial combination plan and a microbial dosing plan are formulated for the sewage treatment in different depth layers, which can improve the unity of the overall sewage treatment progress, ensure the uniformity of water quality, ensure the stability of the effluent water quality, and improve the efficiency of the entire sewage treatment. When the sewage quality is uniform in different depth layers, unified treatment is carried out to reduce the sewage treatment process and cost and improve the sewage treatment efficiency.

[0047] The treatment monitoring module is used to monitor the sewage treatment status during sewage treatment.

[0048] In a specific embodiment, the process of monitoring the sewage treatment status is as follows: monitoring points are set in each depth layer, sewage samples at each monitoring point in each depth layer are obtained, and then the water quality data and the detected content of each target microorganism in the sewage samples at each monitoring point in each depth layer are detected as the water quality data and the detected content of each target microorganism at each monitoring point in each depth layer.

[0049] It should be noted that the detection methods for the detected content of each target microorganism include the plate colony counting method, the fluorescence staining method, the ATP determination method, etc. The specific detection process can be queried from the Internet and will not be elaborated here.

[0050] The average value of the detected content of each target microorganism at each monitoring point in each depth layer is calculated to obtain the detected content of each target microorganism in each depth layer, and then the detected 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.

[0051] Using the water quality data and the detected content of each target microorganism at each monitoring point in each depth layer, the treatment uniformity characteristic value and the water quality treatment characteristic value in each depth layer are analyzed, and the overall water quality difference characteristic value of the sewage is calculated using the water quality data and the survival rate of each target microorganism at each monitoring point in each depth layer.

[0052] Preferably, the analysis process of the treatment uniformity characteristic value in each depth layer is as follows: the weighted average values of the water quality data and the detected content of each target microorganism at each monitoring point in each depth layer are calculated respectively, and the calculation results are used as the reference water quality data and the detected content of each target microorganism in each depth layer, which are respectively denoted as and , where w represents the number of each target microorganism, and w is a positive integer.

[0053] Using the treatment uniformity characteristic value analysis formula: , the treatment uniformity characteristic value in the f-th depth layer is obtained. In the formula, e represents the natural constant, X and W represent the number of monitoring points and the number of target microorganisms respectively, x represents the number of each monitoring point, and x is a positive integer. represents the water quality data of the x-th monitoring point in the f-th depth layer, represents the detected content of the w-th target microorganism at the x-th monitoring point in the f-th depth layer, represents the type weight coefficient of the w-th target microorganism in the f-th depth layer.

[0054] Preferably, the analysis process of the water quality treatment characteristic value in each depth layer is as follows: Obtain the water quality data threshold from the database. When the water quality data of each monitoring point in a certain depth layer is greater than or equal to the water quality data threshold, the water quality treatment characteristic value in this depth layer is 1. When there is at least one monitoring point in a certain depth layer where the water quality data is less than the water quality data threshold, the water quality treatment characteristic value in this depth layer is 0, and thus obtain the water quality treatment characteristic value in each depth layer.

[0055] It should be noted that the water quality data threshold refers to the standard water quality data that the sewage needs to be treated to meet, which is formulated by relevant local units.

[0056] Preferably, the calculation process of the overall water quality difference characteristic value of the sewage is as follows: Calculate the difference of the water quality data of each monitoring point between each depth layer, and select the maximum difference as the water quality data difference between the depth layers. Calculate the difference of the survival rate of each target microorganism among each monitoring point between each depth layer, and select the maximum difference as the difference of the survival rate of the target microorganism between the depth layers.

[0057] Perform normalization processing on the water quality data difference between the depth layers and the difference of the survival rate of the target microorganism between the depth layers respectively, and the processed values are respectively denoted as and .

[0058] Using the calculation formula: , obtain the overall water quality difference characteristic value of the sewage.

[0059] Confirm the sewage treatment status according to the treatment uniformity characteristic value, water quality treatment characteristic value, and overall water quality difference characteristic value in each depth layer.

[0060] In the above, when the treatment uniformity characteristic value is less than 1, it indicates that the sewage treatment status is in a non-uniform treatment state, otherwise it indicates that the sewage treatment status is in a uniform treatment state; when the water quality treatment characteristic value is 0, it indicates that the sewage treatment status is in a state of insufficient treatment intensity, otherwise it indicates that the sewage treatment status is in a normal treatment intensity state; when the overall water quality difference characteristic value of the sewage is greater than 0, it indicates that the sewage treatment status is in a non-compliant treatment state, otherwise it indicates that the sewage treatment status is in a compliant state.

[0061] The sewage treatment adjustment module is used to adjust sewage treatment by using the sewage treatment status. In a specific embodiment, the specific process of adjusting sewage treatment by using the sewage treatment status is as follows: When the treatment uniformity eigenvalue in at least one deep layer is less than 1, it indicates that the sewage treatment status is in a non-uniform treatment state. Each deep layer with a treatment uniformity eigenvalue less than 1 is recorded as each type-1 deep layer, and then the sewage in each type-1 deep layer is stirred.

[0062] When the water quality treatment eigenvalue in at least one deep layer is 0, it indicates that the sewage treatment status is in a state of insufficient treatment intensity. Each deep layer with a water quality treatment eigenvalue of 0 is recorded as each type-2 deep layer, and then each target microorganism is added to each type-2 deep layer.

[0063] When the overall water quality difference eigenvalue of the sewage is greater than 0, each deep layer that needs to be adjusted is confirmed as each type-3 deep layer, and each type-3 deep layer is adjusted.

[0064] It should be noted that when the overall water quality difference eigenvalue of the sewage is greater than 0, the treatment uniformity eigenvalue and the water quality treatment eigenvalue of each deep layer are obtained. The treatment uniformity eigenvalues of each deep layer are averaged to obtain the average treatment uniformity value. Each deep layer with a treatment uniformity eigenvalue less than the average treatment uniformity value or a water quality treatment eigenvalue of 0 is used as each type-3 deep layer. Then, the sewage in each type-3 deep layer with a treatment uniformity eigenvalue less than the average treatment uniformity value is stirred, and each target microorganism is added to each type-3 deep layer with a water quality treatment eigenvalue of 0.

[0065] The database is used to store the types corresponding to each microorganism, the water quality data threshold, and the historical sewage treatment records.

[0066] In the embodiment of the present application, before adding microorganisms, the uniformity of the water quality is monitored and analyzed to confirm the sewage treatment mode. When treating in layers, the microorganism combination plan and the microorganism addition plan for sewage treatment in each deep layer are analyzed. When treating as a whole, the microorganism combination plan and the overall microorganism addition plan for the sewage are analyzed. After adding microorganisms, the water quality is monitored, and then corresponding adjustments are made to ensure the unity and uniformity of the water quality treatment progress, which helps to maintain the stability of the microorganism growth environment, so that the microorganisms can continuously and efficiently work in a relatively stable environment, improve the decomposition speed of pollutants in the sewage. In addition, the unity and uniformity of the purification progress can ensure that the sewage is fully purified, thus ensuring the stability of the effluent water quality, reducing the difficulty of subsequent microorganism control and adjustment, improving the overall sewage treatment effect, not easily causing microorganism waste, and reducing the operation cost.

[0067] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology can make various modifications, supplements, or use similar methods to replace the specific embodiments described. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should 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; A sewage treatment adjustment module is used to adjust sewage treatment using the sewage treatment status; 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 ratio 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 the ratio and initial content of each target microorganism in each depth layer are used as the microbial combination scheme of each depth layer; 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.

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 content. 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 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.

4. A water quality monitoring system for sewage treatment according to claim 3, 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.

5. A water quality monitoring system for sewage treatment according to claim 3, 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.

6. A water quality monitoring system for sewage treatment according to claim 5, 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, 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.

7. A water quality monitoring system for sewage treatment according to claim 6, 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 .

8. A water quality monitoring system for sewage treatment according to claim 5, 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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