Intelligent treatment method of sewage in discharge pool based on big data

Abstract

The present application relates to the technical field of sewage treatment, and specifically to a method for intelligent treatment of sewage in a discharge pool based on big data, the method comprising: collecting the concentration data of various pollutants and various chemical agents in each batch of sewage before and after sewage treatment; determining the treatment factors of chemical agents for various pollutants under each batch of sewage in history based on the changes in the concentrations of various pollutants before and after the treatment of each batch of sewage in history and the changes in the concentrations of chemical agents; correcting the treatment factors of chemical agents for common pollutants in sewage with the same chemical agents; determining the optimal chemical agent for the current batch of sewage; determining the optimal addition concentration of the optimal chemical agent in the current batch of sewage based on the water quality similarity between the current batch of sewage and each batch of sewage in history and the treatment factors of the optimal chemical agent in the current batch of sewage for various pollutants, so as to realize intelligent treatment of sewage. The present application aims to improve the sewage treatment effect.

Description

Technical Field

[0001] The present application relates to the technical field of sewage treatment, and specifically to an intelligent sewage treatment method for a discharge pool based on big data. Background Art

[0002] Sewage treatment is an important environmental protection work, and the discharge tank is a kind of equipment used to treat sewage, which can effectively remove pollutants in sewage and protect environmental health. The principle of the discharge tank is based on the action of physics, chemistry and biology. Through a series of treatment processes, pollutants in sewage are removed, so that the sewage is purified and meets the discharge standards.

[0003] Among them, chemical treatment is an important part of the discharge pool. In chemical treatment, it is usually necessary to add chemical agents to the discharge pool to remove nutrients such as ammonia, nitrogen, and phosphorus in the sewage, and at the same time, it can also play a role in disinfection and deodorization. The type of chemical agents and the amount of chemical agents directly affect the effect of sewage treatment. When the type of chemical agents is not appropriately added, the sewage treatment effect is not good. Too much chemical agent addition may cause excessive chemical agent residues in the sewage, causing negative impacts on the environment, while too little addition may cause the sewage to fail to be effectively purified, affecting the effect of sewage treatment. Therefore, obtaining the optimal chemical agent and the optimal amount of chemical agent addition is the key to improving the sewage treatment effect. Summary of the invention

[0004] In view of the above, it is necessary to provide a big data-based intelligent treatment method for discharge pool sewage, which improves the sewage treatment effect compared with the traditional intelligent treatment method for discharge pool sewage.

[0005] The intelligent treatment method of sewage in the discharge pool based on big data in this application adopts the following technical solutions:

[0006] One embodiment of the present application provides a method for intelligently treating sewage in a discharge pool based on big data, the method comprising the following steps:

[0007] Collect the concentration data of various pollutants and various chemical agents in each batch of sewage before and after sewage treatment, and collect the standard concentration data of various pollutants in sewage that meets the discharge standards;

[0008] Based on the changes in the concentrations of various pollutants before and after the treatment of each batch of historical sewage and the changes in the concentrations of chemical agents, determine the treatment factors of chemical agents for various pollutants under each batch of historical sewage;

[0009] Based on the similarity of water quality between the wastewaters with the same chemical agents added in each batch in history, the differences in the changes in pollutant concentrations and the differences in chemical agent concentrations, combined with the treatment factors of chemical agents for various pollutants, the treatment factors of chemical agents for the common pollutants in the wastewaters with the same chemical agents added are corrected;

[0010] Determine the optimal chemical agent for the current batch of sewage based on the concentration data of all pollutants in the current batch of sewage, the standard concentration data, and the treatment factors of all types of chemical agents for all pollutants in historical batches;

[0011] Based on the similarity of water quality between the current batch of sewage and historical batches of sewage and the treatment factors of the optimal chemical agents in the current batch of sewage for various pollutants, the optimal addition concentration of the optimal chemical agents in the current batch of sewage is determined to achieve intelligent sewage treatment.

[0012] In one embodiment, the process of determining the processing factor is:

[0013] The differences in the concentration data of various pollutants before and after the treatment of each batch of historical sewage are calculated, and recorded as the pollutant concentration difference. The differences in the concentration data of chemical agents before and after the treatment of each batch of historical sewage are calculated, and recorded as the agent concentration difference. Under each batch of historical sewage, the treatment factor of chemical agents for various pollutants is positively correlated with the difference in the agent concentration of the chemical agents, and negatively correlated with the difference in the pollutant concentration of various pollutants.

[0014] In one embodiment, the process of correcting the treatment factor of the chemical agent for the common pollutants in the sewage to which the same chemical agent is added is:

[0015] Based on the water quality similarity between the wastewaters with the same type of chemical agents historically added and the treatment factors of the chemical agents on pollutants, determine the water quality similarity factor between the wastewaters with the same type of chemical agents historically added;

[0016] Based on the water quality similarity factors, differences in pollutant concentration changes and differences in chemical agent concentrations between wastewaters with similar chemical agents historically administered, determine the correction factors for common pollutants in wastewaters with similar chemical agents administered;

[0017] The batches of wastewater with the same type of chemical agents added in the past are counted and recorded as the batches related to each chemical agent. For each chemical agent, the pollutants contained in all batches of wastewater related to the chemical agent are counted and recorded as the common pollutants of each chemical agent.

[0018] The normalized value of the product of the treatment factor of each type of chemical agent for various common pollutants and the correction factor is used as the treatment factor of each type of chemical agent for various common pollutants after correction.

[0019] In one embodiment, the process of determining the water quality similarity factor is:

[0020] For each type of common pollutant in each batch of chemicals of any type, calculate the absolute value of the difference in concentration data of each type of pollutant before sewage treatment in the sewage of the batch of chemicals containing the common pollutant and the sewage of the remaining batches of chemicals of any type, except the common pollutant; calculate the average value of the treatment factor of the chemical agent for each type of pollutant in the sewage of the batch of chemicals containing the common pollutant and the sewage of the remaining batches of chemicals of any type, and calculate the product of the absolute value of the difference and the average value;

[0021] The sum of all the inverse proportional mappings of the products of the wastewater batches related to the reagent containing the common pollutants and the wastewater batches related to the other reagents of any one type of chemical reagents is used as the water quality similarity factor between the wastewater batches related to the reagent containing the common pollutants and the wastewater batches related to the other reagents of any one type of chemical reagents.

[0022] In one embodiment, the correction factor is determined as follows:

[0023] For each type of common pollutant in each batch of each chemical agent, calculate the difference in chemical agent concentration data before treatment between the wastewater in the batch of the agent where the common pollutant is located and the wastewater in the other batches of the agent, and record it as the agent concentration difference; calculate the absolute value of the difference in the concentration of the common pollutant in the wastewater in the batch of the agent where the common pollutant is located and the wastewater in the other batches of the agent, and record it as the common pollutant concentration difference;

[0024] For the batches of wastewater related to the reagents containing the common pollutants, the correction factors of chemical agents on the common pollutants are positively correlated with all water quality similarity factors and all differences in the concentrations of the agents related to the batches of wastewater related to the common pollutants, and are negatively correlated with all differences in the concentrations of the common pollutants in the batches of wastewater related to the reagents containing the common pollutants.

[0025] In one embodiment, the process of determining the optimal chemical agent is:

[0026] For each type of chemical agent, based on the concentration data of all pollutants in the current batch of sewage and the treatment factors of the chemical agent on all pollutants, determine the expected effect value of the chemical agent in the current batch of sewage;

[0027] The chemical agent with the largest expected effect value is taken as the optimal chemical agent for the current batch of sewage.

[0028] In one embodiment, the process of determining the estimated effect value is:

[0029] Calculate the difference between the concentration data of various pollutants in the current batch of sewage and the standard concentration data, recorded as the standard difference, and count the maximum values ​​of the treatment factors of various chemical agents for various pollutants, recorded as the maximum treatment factors. The expected effect values ​​of various chemical agents in the current batch of sewage are positively correlated with the maximum treatment factors of various chemical agents for all pollutants and the standard differences of all pollutants, and are negatively correlated with the standard concentration data of all pollutants.

[0030] In one embodiment, the process of determining the optimal concentration of the optimal chemical agent added to the current batch of sewage is as follows:

[0031] Determining a reference batch for the current batch of sewage based on the water quality similarity factor between the current batch of sewage and the historical sewage;

[0032] The concentration data of the optimal chemical agent in the control batch of sewage before sewage treatment is recorded as the control concentration;

[0033] Determine the optimal treatment factor of the optimal chemical agent for each type of pollutant in the current batch of sewage based on the control concentration;

[0034] Calculate the difference in concentration data of each similar pollutant in the current batch of sewage and the control batch of sewage before sewage treatment, record it as the concentration data difference, calculate the product of the optimal treatment factor of the optimal chemical agent for each type of pollutant in the current batch of sewage and the corresponding concentration data difference, record it as the adjustment product, calculate the sum of the adjustment products of all pollutants in the current batch of sewage, record it as the chemical agent concentration adjustment factor;

[0035] The optimal addition concentration of the optimal chemical agent in the current batch of sewage is positively correlated with the control concentration and the chemical agent concentration adjustment factor.

[0036] In one embodiment, the control batch is the batch of sewage having the largest water quality similarity factor with the current batch of sewage among all the historical batches of sewage.

[0037] In one embodiment, the optimal processing factor is determined as follows:

[0038] Count the batches of sewage in which the optimal chemical agent was added in the historical sewage and the optimal chemical agent concentration before sewage treatment was equal to the control concentration, and record them as each comparison batch;

[0039] The maximum values ​​of the treatment factors of the optimal chemical agents for various pollutants in all comparison batches of sewage are counted separately as the optimal treatment factors of the optimal chemical agents for various pollutants in the current batch of sewage.

[0040] This application has at least the following beneficial effects:

[0041] This application determines the treatment factors of chemical agents at different concentrations for various pollutants by analyzing the different chemical reaction intensities of pollutants to chemical agents at different concentrations during sewage treatment;

[0042] Based on the characteristics of the reaction between chemical agents and different pollutants, combined with the similarity of water quality between sewage treated with the same chemical agents, the difference in the change of pollutant concentration and the difference in chemical agent concentration, the correction factor is determined to correct the treatment factor;

[0043] Based on the concentration of pollutants in the sewage and the corrected treatment factors, the optimal chemical agent is determined, and the optimal addition concentration of the optimal chemical agent is determined based on the corrected treatment factors and the historical data of sewage treatment. Then, based on the optimal chemical agent and its optimal addition concentration, intelligent treatment of discharge pool sewage is achieved, which improves the sewage treatment effect and reduces resource waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 A flowchart of the steps of the intelligent treatment method of discharge pool sewage based on big data provided in this application.

[0046] Figure 2 Schematic diagram of the process of obtaining processing factors.

[0047] Figure 3 Schematic diagram of the correction process of treatment factors.

[0048] Figure 4 Schematic diagram of the process for determining the optimal addition concentration. DETAILED DESCRIPTION

[0049] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. It should be understood that, unless otherwise specified, " / " means or.

[0051] It should also be noted that the terms "first" and "second" in this application are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of this application or the method shown in the flow chart includes one or more steps for implementing the method. Without departing from the scope of the claims, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0052] The specific scheme of the intelligent treatment method of discharge pool sewage based on big data provided by this application is described in detail below with reference to the accompanying drawings.

[0053] An embodiment of the present application provides a method for intelligently treating sewage in a discharge pool based on big data. Specifically, the following method for intelligently treating sewage in a discharge pool based on big data is provided. Figure 1 , the method comprises the following steps:

[0054] Step S1, detecting the volume of sewage, collecting concentration data of various pollutants in each batch of sewage and concentration data of various chemical agents before and after sewage treatment, and collecting standard concentration data of various pollutants in sewage that meets the discharge standards.

[0055] The purpose of this application is to obtain the optimal chemical agent and the optimal amount of chemical agent to ensure the sewage treatment effect of the discharge pool.

[0056] The specific scenario targeted by this application is: when a discharge pool treats sewage through chemical treatment methods, it is necessary to select chemical agents and determine the amount of chemical agents to be added.

[0057] Detect the sewage volume, collect concentration data of various pollutants and concentration data of various chemical agents in each batch of sewage before and after sewage treatment, and collect standard concentration data of various pollutants in sewage that meets the discharge standards.

[0058] It should be noted that the detection of sewage volume, the standard concentration data of various pollutants in sewage that meets the discharge standards, the concentration data of various pollutants in sewage before and after sewage treatment, and the concentration data of various chemical agents before and after sewage treatment can be collected through corresponding sensors and monitoring instruments. In this embodiment, an ultrasonic liquid level sensor is used to detect the volume of sewage discharged in each batch; the concentrations of various pollutants and various agents in the sewage, as well as pollutants that may exist in the sewage, such as ammonia, nitrogen, phosphorus, etc., are determined by a spectrometer.

[0059] Step S2, based on the changes in the concentrations of various pollutants before and after the treatment of each batch of historical sewage and the changes in the concentrations of chemical agents, determine the treatment factors of chemical agents on various pollutants under each batch of historical sewage.

[0060] Since the water quality of the discharge pool is usually not completely consistent each time it treats sewage, that is, the pollutant concentration data is inconsistent, and different chemical agents usually have different treatment effects on different pollutants, different chemical agents are used when treating sewage of different water qualities; among them, only one type of chemical agent is added to the discharge pool each time it treats sewage.

[0061] Determine the treatment factors of chemical agents for various pollutants under each batch of historical sewage. The specific process is:

[0062] The differences in the concentration data of various pollutants before and after the treatment of each batch of historical sewage are calculated, and recorded as the pollutant concentration difference. The differences in the concentration data of chemical agents before and after the treatment of each batch of historical sewage are calculated, and recorded as the agent concentration difference. Under each batch of historical sewage, the treatment factor of chemical agents for various pollutants is positively correlated with the difference in the agent concentration of the chemical agents, and negatively correlated with the difference in the pollutant concentration of various pollutants.

[0063] It should be understood that: positive correlation means that the changing trends of the dependent variable and the independent variable are in the same direction, such as a multiplication relationship, an addition relationship, etc. The implementer can set it according to the actual situation, and this application does not impose any special restrictions; negative correlation means that the changing trends of the dependent variable and the independent variable are in opposite directions, such as a subtraction relationship, a division relationship, etc. The implementer can set it according to the actual situation, and this application does not impose any special restrictions.

[0064] In one embodiment of the present application, the method for calculating the treatment factors of chemical agents for various pollutants under each batch of historical sewage is as follows: calculate the sum of the pollutant concentration differences of various pollutants and a preset parameter adjustment constant greater than 0, record it as the first parameter adjustment sum value, and take the ratio of the agent concentration difference of the chemical agent to the first parameter adjustment sum value as the treatment factor of the chemical agent for various pollutants; wherein, the purpose of the parameter adjustment constant is to avoid the denominator being 0. In this embodiment, the value of the parameter adjustment constant is 1. The value of the parameter adjustment constant is preset artificially and can be set by the implementer. This application does not impose any special restrictions.

[0065] It should be noted that the smaller the difference in pollutant concentration, the greater the difference in reagent concentration, indicating that more chemical reagents are needed to treat the pollutants, and the greater the treatment factor of the chemical reagents on the pollutants. The process diagram for obtaining the treatment factor is as follows Figure 2 shown.

[0066] Since the concentrations of pollutants in different batches of sewage are different, the concentrations of chemical agents added are also different. Therefore, the treatment factors of each type of chemical agent on various pollutants in sewage at different concentrations can be obtained, and then the optimal chemical agent and the optimal amount of chemical agent used can be efficiently selected based on the concentration data of various pollutants in sewage to achieve efficient treatment of pollutants.

[0067] Step S3, based on the similarity of water quality between historical batches of sewage treated with similar chemical agents, differences in pollutant concentration changes and differences in chemical agent concentrations, combined with the treatment factors of chemical agents for various pollutants, correct the treatment factors of chemical agents for common pollutants in sewage treated with similar chemical agents.

[0068] However, when calculating the treatment factor according to step S2, it is ignored that each type of chemical agent usually has an effect on multiple pollutants at the same time. Therefore, the treatment factors of chemical agents for various pollutants in each batch of historical sewage are corrected based on the joint effect of each type of chemical agent on multiple pollutants.

[0069] First, based on the water quality similarity between the sewage treated with the same chemical agents in history and the treatment factors of the chemical agents on pollutants, the water quality similarity factor between the sewage treated with the same chemical agents in history is determined. The specific process is as follows:

[0070] The batches of wastewater with the same type of chemical agents added in the past are counted and recorded as the batches related to each chemical agent. For each chemical agent, the pollutants contained in all batches of wastewater related to the chemical agent are counted and recorded as the common pollutants of each chemical agent.

[0071] For each type of common pollutant in each batch of chemicals of any type, calculate the absolute value of the difference in concentration data of each type of pollutant before sewage treatment in the sewage of the batch of chemicals containing the common pollutant and the sewage of the remaining batches of chemicals of any type, except the common pollutant; calculate the average value of the treatment factor of the chemical agent for each type of pollutant in the sewage of the batch of chemicals containing the common pollutant and the sewage of the remaining batches of chemicals of any type, and calculate the product of the absolute value of the difference and the average value;

[0072] The sum of all the inverse proportional mappings of the products of the wastewater batches related to the reagent containing the common pollutants and the wastewater batches related to the other reagents of any one type of chemical reagents is used as the water quality similarity factor between the wastewater batches related to the reagent containing the common pollutants and the wastewater batches related to the other reagents of any one type of chemical reagents.

[0073] In one embodiment of the present application, the negative of each product of the wastewater batches associated with the remaining chemical agents of any one type is used as the exponent of an exponential function with a natural constant as the base, and the sum of the calculation results of all the exponential functions of the wastewater batches associated with the remaining chemical agents of any one type is used as the water quality similarity factor between the wastewater batches associated with the agent containing the common pollutant and the wastewater batches associated with the remaining chemical agents of any one type.

[0074] It should be noted that the smaller the difference in water quality between two batches of sewage, the larger the water quality similarity factor.

[0075] Secondly, based on the water quality similarity factor, the difference in pollutant concentration changes and the difference in chemical agent concentration between the sewage treated with the same chemical agents in history, the correction factor of the common pollutants in the sewage treated with the same chemical agents is determined. The specific process is as follows:

[0076] For each type of common pollutant in each batch of each chemical agent, calculate the difference in chemical agent concentration data before treatment between the wastewater in the batch of the agent where the common pollutant is located and the wastewater in the other batches of the agent, and record it as the agent concentration difference; calculate the absolute value of the difference in the concentration of the common pollutant in the wastewater in the batch of the agent where the common pollutant is located and the wastewater in the other batches of the agent, and record it as the common pollutant concentration difference;

[0077] For the batches of wastewater related to the reagents containing the common pollutants, the correction factors of chemical agents on the common pollutants are positively correlated with all water quality similarity factors and all differences in the concentrations of the agents related to the batches of wastewater related to the common pollutants, and are negatively correlated with all differences in the concentrations of the common pollutants in the batches of wastewater related to the reagents containing the common pollutants.

[0078] In one embodiment of the present application, the sum of the differences in concentrations of the common pollutants in the batches of wastewater related to the reagent where the common pollutants are located and a preset adjustment parameter constant greater than 0 is calculated, which is recorded as the second adjustment parameter sum value; the ratio of the differences in concentrations of the reagents in the batches of wastewater related to the reagent where the common pollutants are located to the corresponding second adjustment parameter sum value is calculated, which is recorded as the common pollution ratio; the cumulative sum of the products of all water quality similarity factors of the batches of wastewater related to the reagent where the common pollutants are located and the corresponding common pollution ratios is calculated as the correction factor of the chemical agents for the common pollutants in the batches of wastewater related to the reagent where the common pollutants are located; wherein, the purpose of the adjustment parameter constant is to avoid the denominator being 0. In this embodiment, the value of the adjustment parameter constant is 1. The value of the adjustment parameter constant is preset artificially and can be set by the implementer. This application does not impose any special restrictions.

[0079] It should be noted that: using the water quality similarity factor as a weight, the smaller the water quality difference, the larger the water quality similarity factor, and the greater the impact of the corresponding change in the concentration of common pollutants.

[0080] Finally, the processing factor is corrected based on the correction factor. The specific process is as follows:

[0081] The normalized value of the product of the treatment factor of each type of chemical agent for various common pollutants and the correction factor is used as the treatment factor of each type of chemical agent for various common pollutants after correction.

[0082] At this point, the treatment factor of the chemical agent on the pollutant can be corrected. The process diagram of the correction of the treatment factor is as follows: Figure 3 shown.

[0083] Step S4, based on the concentration data of all pollutants in the current batch of sewage, the standard concentration data and the treatment factors of all types of chemical agents on all pollutants in each historical batch, determine the optimal chemical agent for the current batch of sewage.

[0084] Furthermore, for each type of chemical agent, based on the concentration data of all pollutants in the current batch of sewage and the treatment factors of the chemical agent on all pollutants, the expected effect value of the chemical agent in the current batch of sewage is determined. The specific process is:

[0085] Calculate the difference between the concentration data of various pollutants in the current batch of sewage and the standard concentration data, recorded as the standard difference, and count the maximum values ​​of the treatment factors of various chemical agents for various pollutants, recorded as the maximum treatment factors. The expected effect values ​​of various chemical agents in the current batch of sewage are positively correlated with the maximum treatment factors of various chemical agents for all pollutants and the standard differences of all pollutants, and are negatively correlated with the standard concentration data of all pollutants.

[0086] In one embodiment of the present application, for each type of chemical agent, the product of the maximum treatment factor of the chemical agent for various pollutants in the current batch of sewage and the standard difference of various pollutants is calculated, which is recorded as the standard product; the ratio of the standard product of the chemical agent for various pollutants to the standard concentration data of various pollutants is calculated, which is recorded as the standard ratio; the sum of the standard ratios of the chemical agent for all pollutants is taken as the expected effect value of the chemical agent in the current batch of sewage.

[0087] It should be noted that the reciprocal of the standard concentration data of various pollutants is used as the weight factor. The smaller the standard concentration data of the pollutant, the greater the harm of the pollutant, and the larger the corresponding weight factor.

[0088] For the current batch of sewage, each type of chemical agent has an estimated effect value. The chemical agent with the largest estimated effect value is used as the optimal chemical agent for the current batch of sewage and is added to the discharge pool to achieve sewage treatment.

[0089] Step S5, based on the water quality similarity between the current batch of sewage and historical batches of sewage and the treatment factors of the optimal chemical agent in the current batch of sewage for various pollutants, determine the optimal addition concentration of the optimal chemical agent in the current batch of sewage to achieve intelligent sewage treatment.

[0090] When treating sewage, if the amount of chemical agents added is too large, excessive chemical agents may remain in the water, affecting water quality and ecological health, and excessive use of chemical agents will increase treatment costs; if the amount added is too small, the reaction rate between chemical agents and pollutants is slow, delaying the purification process, and may even fail to achieve the expected purification effect. Therefore, it is necessary to control the optimal amount of chemical agents added to reduce the residual chemical agents while ensuring the pollutant removal effect.

[0091] Based on the water quality similarity factor between the current batch of sewage and each batch of historical sewage and the treatment factor of the optimal chemical agent in the current batch of sewage for various pollutants, the optimal addition concentration of the optimal chemical agent in the current batch of sewage is determined. The specific process is:

[0092] Obtain a batch of historical sewage with the largest similarity factor with the current batch of sewage, record it as a control batch, and record the concentration data of the optimal chemical agent in the control batch of sewage before sewage treatment as the control concentration;

[0093] Count the batches of sewage in which the optimal chemical agent was added in the historical sewage and the optimal chemical agent concentration before sewage treatment was equal to the control concentration, and record them as each comparison batch;

[0094] The maximum values ​​of the treatment factors of the optimal chemical agents for various pollutants in all comparison batches of sewage are counted respectively as the optimal treatment factors of the optimal chemical agents for various pollutants in the current batch of sewage;

[0095] Calculate the difference in concentration data of each similar pollutant in the current batch of sewage and the control batch of sewage before sewage treatment, record it as the concentration data difference, calculate the product of the optimal treatment factor of the optimal chemical agent for each type of pollutant in the current batch of sewage and the corresponding concentration data difference, record it as the adjustment product, calculate the sum of the adjustment products of all pollutants in the current batch of sewage, record it as the chemical agent concentration adjustment factor;

[0096] The optimal addition concentration of the optimal chemical agent in the current batch of sewage is positively correlated with the control concentration and the chemical agent concentration adjustment factor.

[0097] In one embodiment of the present application, the sum of the chemical agent concentration adjustment factor and 1 is calculated and recorded as the adjustment sum value, and the product of the adjustment sum value and the control concentration is used as the optimal addition concentration of the optimal chemical agent in the current batch of sewage. Figure 4 .

[0098] The optimal amount of chemical agent to be added is determined based on the sewage volume, the optimal chemical agent and the optimal addition concentration of the optimal chemical agent, thereby achieving sewage treatment in the discharge pool. The specific process is a well-known technology and will not be repeated in this application.

[0099] In summary, this application determines the treatment factors of chemical agents at different concentrations for various pollutants by analyzing the different chemical reaction intensities of pollutants to chemical agents at different concentrations during sewage treatment;

[0100] Furthermore, based on the characteristics of the reaction between chemical agents and different pollutants, combined with the similarity of water quality between sewage treated with the same chemical agents, the difference in the change of pollutant concentrations and the difference in chemical agent concentrations, the correction factor is determined to correct the treatment factor;

[0101] Furthermore, based on the concentration of pollutants in the sewage and the corrected treatment factors, the optimal chemical agent is determined, and based on the corrected treatment factors and the historical data of sewage treatment, the optimal addition concentration of the optimal chemical agent is determined. Then, based on the optimal chemical agent and its optimal addition concentration, intelligent treatment of the sewage in the discharge pool is achieved, which improves the sewage treatment effect and reduces resource waste.

[0102] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

[0103] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the basic features of the present application. Therefore, no matter from which point of view, the above embodiments of the present application should be regarded as exemplary and non-restrictive.

Claims

1. An intelligent treatment method for sewage in a discharge pool based on big data, characterized in that: The method comprises the following steps: Collect the concentration data of various pollutants and various chemical agents in each batch of sewage before and after sewage treatment, and collect the standard concentration data of various pollutants in sewage that meets the discharge standards; Based on the changes in the concentrations of various pollutants before and after the treatment of each batch of historical sewage and the changes in the concentrations of chemical agents, determine the treatment factors of chemical agents for various pollutants under each batch of historical sewage; Based on the similarity of water quality between the wastewaters with the same chemical agents added in each batch in history, the differences in the changes in pollutant concentrations and the differences in chemical agent concentrations, combined with the treatment factors of chemical agents for various pollutants, the treatment factors of chemical agents for the common pollutants in the wastewaters with the same chemical agents added are corrected; Determine the optimal chemical agent for the current batch of sewage based on the concentration data of all pollutants in the current batch of sewage, the standard concentration data, and the treatment factors of all types of chemical agents for all pollutants in historical batches; Based on the water quality similarity between the current batch of sewage and the historical batches of sewage and the treatment factors of the optimal chemical agents in the current batch of sewage for various pollutants, the optimal addition concentration of the optimal chemical agents in the current batch of sewage is determined to achieve intelligent sewage treatment; The process of correcting the treatment factor of the common pollutants in the sewage to which the same chemical agent is added is as follows: Based on the water quality similarity between the wastewaters with the same type of chemical agents historically added and the treatment factors of the chemical agents on pollutants, determine the water quality similarity factor between the wastewaters with the same type of chemical agents historically added; Based on the water quality similarity factors, differences in pollutant concentration changes and differences in chemical agent concentrations between wastewaters with similar chemical agents historically administered, determine the correction factors for common pollutants in wastewaters with similar chemical agents administered; The batches of wastewater with the same type of chemical agents added in the past are counted and recorded as the batches related to each chemical agent. For each chemical agent, the pollutants contained in all batches of wastewater related to the chemical agent are counted and recorded as the common pollutants of each chemical agent. The normalized value of the product of the treatment factor of each chemical agent for each common pollutant and the correction factor is used as the treatment factor of each chemical agent for each common pollutant after correction; The determination process of the water quality similarity factor is: For each type of common pollutant in each batch of chemicals of any type, calculate the absolute value of the difference in concentration data of each type of pollutant before sewage treatment in the sewage of the batch of chemicals containing the common pollutant and the sewage of the remaining batches of chemicals of any type, except the common pollutant; calculate the average value of the treatment factor of the chemical agent for each type of pollutant in the sewage of the batch of chemicals containing the common pollutant and the sewage of the remaining batches of chemicals of any type, and calculate the product of the absolute value of the difference and the average value; The sum of all the inverse proportional mappings of the products of the batch wastewater related to the agent containing the common pollutant and the batch wastewater related to the other agents of any one type of chemical agent is used as the water quality similarity factor between the batch wastewater related to the agent containing the common pollutant and the batch wastewater related to the other agents of any one type of chemical agent; The correction factor is determined as follows: For each type of common pollutant in each batch of each chemical agent, calculate the difference in chemical agent concentration data before treatment between the wastewater in the batch of the agent where the common pollutant is located and the wastewater in the other batches of the agent, and record it as the agent concentration difference; calculate the absolute value of the difference in the concentration of the common pollutant in the wastewater in the batch of the agent where the common pollutant is located and the wastewater in the other batches of the agent, and record it as the common pollutant concentration difference; Under the wastewater batches related to the common pollutants, the correction factors of chemical agents on the common pollutants are positively correlated with all water quality similarity factors and all concentration differences of the agents in the wastewater batches related to the common pollutants, and negatively correlated with all concentration differences of the common pollutants in the wastewater batches related to the common pollutants; Calculate the sum of the differences in the concentrations of the common pollutants in the batches of sewage related to the common pollutants and the preset parameter adjustment constant greater than 0, and record it as the second parameter adjustment sum value; calculate the ratio of the differences in the concentrations of the reagents in the batches of sewage related to the common pollutants to the corresponding second parameter adjustment sum value, and record it as the common pollution ratio; calculate the cumulative sum of the products of all water quality similarity factors of the batches of sewage related to the common pollutants and the corresponding common pollution ratios, as the correction factor of the chemical reagents for the common pollutants in the batches of sewage related to the common pollutants; The process of determining the treatment factor is: The difference of various pollutant concentration data before and after each batch of sewage treatment in history is calculated, recorded as the pollutant concentration difference, and the difference of chemical agent concentration data before and after each batch of sewage treatment in history is calculated, recorded as the agent concentration difference. Under each batch of sewage in history, the treatment factor of chemical agents for various pollutants is positively correlated with the agent concentration difference of the chemical agents, and negatively correlated with the pollutant concentration difference of various pollutants; The sum of the pollutant concentration difference of various pollutants and a preset parameter adjustment constant greater than 0 is calculated and recorded as the first parameter adjustment sum value. The ratio of the chemical agent concentration difference to the first parameter adjustment sum value is used as the treatment factor of the chemical agent for various pollutants.

2. The intelligent treatment method for sewage in a discharge pool based on big data according to claim 1, characterized in that: The process of determining the optimal chemical agent is as follows: For each type of chemical agent, based on the concentration data of all pollutants in the current batch of sewage and the treatment factors of the chemical agent on all pollutants, determine the expected effect value of the chemical agent in the current batch of sewage; The chemical agent with the largest expected effect value is taken as the optimal chemical agent for the current batch of sewage.

3. The intelligent treatment method for sewage in a discharge pool based on big data according to claim 2, characterized in that: The process of determining the estimated effect value is as follows: Calculate the difference between the concentration data of various pollutants in the current batch of sewage and the standard concentration data, record it as the standard difference, and respectively count the maximum values ​​of the treatment factors of various chemical agents for various pollutants, record it as the maximum treatment factor. The expected effect values ​​of various chemical agents in the current batch of sewage are respectively positively correlated with the maximum treatment factors of various chemical agents for all pollutants and the standard differences of all pollutants, and negatively correlated with the standard concentration data of all pollutants; Calculate the product of the maximum treatment factor of the chemical agent for various pollutants in the current batch of sewage and the standard difference of various pollutants, recorded as the standard product; calculate the ratio of the standard product of the chemical agent for various pollutants to the standard concentration data of various pollutants, recorded as the standard ratio; take the sum of the standard ratios of the chemical agent for all pollutants as the expected effect value of the chemical agent in the current batch of sewage.

4. The intelligent treatment method for sewage in a discharge pool based on big data according to claim 1, characterized in that: The process of determining the optimal addition concentration of the optimal chemical agent in the current batch of sewage is as follows: Determining a reference batch for the current batch of sewage based on the water quality similarity factor between the current batch of sewage and the historical sewage; The concentration data of the optimal chemical agent in the control batch of sewage before sewage treatment is recorded as the control concentration; Determine the optimal treatment factor of the optimal chemical agent for each type of pollutant in the current batch of sewage based on the control concentration; Calculate the difference in concentration data of each similar pollutant in the current batch of sewage and the control batch of sewage before sewage treatment, record it as the concentration data difference, calculate the product of the optimal treatment factor of the optimal chemical agent for each type of pollutant in the current batch of sewage and the corresponding concentration data difference, record it as the adjustment product, calculate the sum of the adjustment products of all pollutants in the current batch of sewage, record it as the chemical agent concentration adjustment factor; The optimal addition concentration of the optimal chemical agent in the current batch of sewage is positively correlated with the control concentration and the chemical agent concentration adjustment factor.

5. The intelligent treatment method for sewage in a discharge pool based on big data according to claim 4, characterized in that: The control batch is the batch of sewage that has the largest water quality similarity factor with the current batch of sewage among all historical batches of sewage.

6. The intelligent treatment method for sewage in a discharge pool based on big data according to claim 4, characterized in that: The determination process of the optimal processing factor is: Count the batches of sewage in which the optimal chemical agent was added in the historical sewage and the optimal chemical agent concentration before sewage treatment was equal to the control concentration, and record them as each comparison batch; The maximum values ​​of the treatment factors of the optimal chemical agents for various pollutants in all comparison batches of sewage are counted separately as the optimal treatment factors of the optimal chemical agents for various pollutants in the current batch of sewage.

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