CN115564318A - Intelligent control method and system for automobile coating wastewater treatment - Google Patents
Intelligent control method and system for automobile coating wastewater treatment Download PDFInfo
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- 238000004065 wastewater treatment Methods 0.000 title claims abstract description 37
- 239000002351 wastewater Substances 0.000 claims abstract description 71
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- 229910001385 heavy metal Inorganic materials 0.000 claims description 13
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- 238000000108 ultra-filtration Methods 0.000 description 18
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- 229910000428 cobalt oxide Inorganic materials 0.000 description 8
- IVMYJDGYRUAWML-UHFFFAOYSA-N cobalt(ii) oxide Chemical compound [Co]=O IVMYJDGYRUAWML-UHFFFAOYSA-N 0.000 description 7
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- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 description 4
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- 238000004140 cleaning Methods 0.000 description 3
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000005238 degreasing Methods 0.000 description 2
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- 150000002500 ions Chemical class 0.000 description 2
- 239000003973 paint Substances 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
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- 229910001463 metal phosphate Inorganic materials 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 125000002467 phosphate group Chemical group [H]OP(=O)(O[H])O[*] 0.000 description 1
- -1 phosphate organic phosphorus compounds Chemical class 0.000 description 1
- 150000003013 phosphoric acid derivatives Chemical class 0.000 description 1
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Abstract
The invention relates to the technical field of sewage treatment, and provides an intelligent control method and system for automobile coating wastewater treatment, wherein the method comprises the following steps: collecting a pollution parameter set of target wastewater according to a plurality of pollution indexes, and acquiring a first-class pollution parameter set, a second-class pollution parameter set and a third-class pollution parameter set in the pollution parameter set; the method comprises the steps of obtaining a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set, optimizing treatment parameters, obtaining optimal first-class treatment parameters, optimal second-class treatment parameters and optimal third-class treatment parameters, and treating wastewater.
Description
Technical Field
The invention relates to the technical field of sewage treatment, in particular to an intelligent control method and system for automobile coating wastewater treatment.
Background
A large amount of automobile coating wastewater is generated in automobile coating, the automobile coating wastewater mainly comprises degreasing wastewater, phosphating wastewater, electrophoresis wastewater, paint spraying wastewater and the like, the automobile coating wastewater comprises various pollutants such as heavy metal ions, surfactants, phosphates and the like, the water quality is complex, and the automobile coating wastewater treatment process flow is complex.
Generally, different wastewater needs different purification treatment schemes, and different treatment methods are different for different wastewater, so that the wastewater treatment effect is poor, and the relevant discharge standards such as integrated wastewater discharge standard (GB 8978-1996) cannot be met.
In summary, the treatment effect and the treatment efficiency need to be considered in a balanced manner aiming at the pollution degree, the treatment parameters of the wastewater are reasonably optimized, the accuracy of the treatment parameters is improved, and support is provided for ensuring the effectiveness of the treatment of the automobile coating wastewater.
In conclusion, the technical problem that the treatment parameter precision of the wastewater is low, which leads to the fact that the emission standard that various pollution purification effects of the automobile coating wastewater treatment can not meet is solved in the prior art.
Disclosure of Invention
The application aims to solve the technical problem that the treatment parameter precision of the waste water in the prior art is low, so that the emission standard that various pollution purification effects of the automobile coating waste water treatment can not be met cannot be ensured.
In view of the above problems, the embodiments of the present application provide an intelligent control method and system for automobile painting wastewater treatment.
In a first aspect of the present disclosure, an intelligent control method for automobile painting wastewater treatment is provided, wherein the method includes: collecting a pollution parameter set of target wastewater according to a plurality of pollution indexes, wherein the target wastewater is automobile coating wastewater to be treated; dividing the plurality of pollution indexes into a first-class pollution index set comprising a plurality of first-class pollution indexes, a second-class pollution index set comprising a plurality of second-class pollution indexes and a third-class pollution index set comprising a plurality of third-class pollution indexes; acquiring a first-class pollution parameter set, a second-class pollution parameter set and a third-class pollution parameter set in the pollution parameter set according to the first-class pollution index set, the second-class pollution index set and the third-class pollution index set; analyzing and obtaining a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set in the first-class pollution parameter set, the second-class pollution parameter set and the third-class pollution parameter set; respectively optimizing the first-class treatment parameters, the second-class treatment parameters and the third-class treatment parameters according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set to obtain optimal first-class treatment parameters, optimal second-class treatment parameters and optimal third-class treatment parameters; and processing the target wastewater by adopting the optimal first-class processing parameters, the optimal second-class processing parameters and the optimal third-class processing parameters.
In another aspect of the present disclosure, an intelligent control system for automobile painting wastewater treatment is provided, wherein the method includes: the pollution parameter acquisition module is used for acquiring a pollution parameter set of target wastewater according to a plurality of pollution indexes, wherein the target wastewater is automobile coating wastewater to be treated; a pollution index set acquisition module, configured to divide the multiple pollution indexes into a first-class pollution index set including multiple first-class pollution indexes, a second-class pollution index set including multiple second-class pollution indexes, and a third-class pollution index set including multiple third-class pollution indexes; a pollution parameter set acquisition module, configured to acquire a first-type pollution parameter set, a second-type pollution parameter set, and a third-type pollution parameter set in the pollution parameter set according to the first-type pollution index set, the second-type pollution index set, and the third-type pollution index set; a pollution degree index set obtaining module for analyzing and obtaining a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set in the first-class pollution parameter set, the second-class pollution parameter set and the third-class pollution parameter set; the processing parameter optimizing module is used for respectively optimizing the first-class processing parameters, the second-class processing parameters and the third-class processing parameters according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set to obtain optimal first-class processing parameters, optimal second-class processing parameters and optimal third-class processing parameters; and the wastewater treatment module is used for treating the target wastewater by adopting the optimal first-class treatment parameters, the optimal second-class treatment parameters and the optimal third-class treatment parameters.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
because the method adopts the method that the pollution parameter set of the target wastewater is collected according to a plurality of pollution indexes; dividing a plurality of pollution indexes into a first-class pollution index set comprising a plurality of first-class pollution indexes, a second-class pollution index set comprising a plurality of second-class pollution indexes and a third-class pollution index set comprising a plurality of third-class pollution indexes, and acquiring a first-class pollution parameter set, a second-class pollution parameter set and a third-class pollution parameter set in a pollution parameter set; the method comprises the steps of analyzing to obtain a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set, optimizing treatment parameters respectively, obtaining an optimal first-class treatment parameter, an optimal second-class treatment parameter and an optimal third-class treatment parameter, and treating target wastewater.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a possible intelligent control method for automobile coating wastewater treatment provided by the embodiment of the application;
FIG. 2 is a schematic flow chart of a possible process for obtaining an optimal first-class treatment parameter, an optimal second-class treatment parameter and an optimal third-class treatment parameter in an intelligent control method for treating automobile painting wastewater according to an embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating a possible process of obtaining a pollution treatment score database in an intelligent control method for automobile painting wastewater treatment according to an embodiment of the present application;
fig. 4 is a schematic diagram of a possible structure of an intelligent control system for automobile painting wastewater treatment according to an embodiment of the present application.
Description of reference numerals: the system comprises a pollution parameter acquisition module 100, a pollution index set acquisition module 200, a pollution parameter set acquisition module 300, a pollution degree index set acquisition module 400, a treatment parameter optimization module 500 and a wastewater treatment module 600.
Detailed Description
The technical scheme provided by the application has the following general idea:
the embodiment of the application provides that automobile coating waste water quality of water is complicated, and it is very fast to change, and to different waste waters, the treatment effect of the same processing method is different, and the waste water treatment effect is relatively poor, classifies waste water pollution data, carries out optimizing of treatment parameter respectively, divides the multistage to carry out waste water treatment, promotes treatment effect and efficiency.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an intelligent control method for automobile painting wastewater treatment, wherein the method includes:
s10: collecting a pollution parameter set of target wastewater according to a plurality of pollution indexes, wherein the target wastewater is automobile coating wastewater to be treated;
specifically, the automobile coating wastewater mainly comprises degreasing wastewater, phosphating wastewater, electrophoresis wastewater, paint spraying wastewater and the like, so that pollutants in the automobile coating wastewater comprise pollutants such as an organic solvent, a coating auxiliary agent, heavy metal ions and phosphate (belonging to phosphate organic phosphorus compounds), the plurality of pollution indexes can be pollution indexes such as an organic solvent pollution index, a coating auxiliary agent pollution index, a heavy metal pollution index and a phosphate pollution index, and the target wastewater is the automobile coating wastewater to be treated;
in the automobile coating wastewater, according to the plurality of pollution indexes, a sewage analyzer is used for collecting pollution parameters, and a pollution parameter set of target wastewater is collected, wherein subsets of the pollution parameter set include but are not limited to an organic solvent pollution index set, a coating additive pollution index set, a heavy metal pollution index set and a phosphate pollution index set, and a data basis is provided for subsequent data processing.
S20: dividing the plurality of pollution indexes into a first-class pollution index set comprising a plurality of first-class pollution indexes, a second-class pollution index set comprising a plurality of second-class pollution indexes and a third-class pollution index set comprising a plurality of third-class pollution indexes;
step S20 includes the steps of:
s21: acquiring a first-class pollution index, a second-class pollution index and a third-class pollution index, wherein the first-class pollution index is an oil pollution index, the second-class pollution index is a heavy metal pollution index, and the third-class pollution index is an organic pollution index;
s22: and dividing the plurality of pollution indexes according to the first-class pollution indexes, the second-class pollution indexes and the third-class pollution indexes to obtain a first-class pollution index set, a second-class pollution index set and a third-class pollution index set.
Specifically, the plurality of pollution indexes may be pollution indexes such as organic solvent pollution indexes, coating auxiliary agent pollution indexes, heavy metal pollution indexes, phosphate pollution indexes, and the like, wherein the first-class pollution indexes, the second-class pollution indexes, and the third-class pollution indexes are classification marks, preferably, the first-class pollution indexes are grease pollution indexes (a mark symbol of the first-class pollution index is an organic solvent pollution index and a coating auxiliary agent pollution index of the plurality of pollution indexes), the second-class pollution indexes are heavy metal pollution indexes (a mark symbol of the second-class pollution index is a heavy metal pollution index of the plurality of pollution indexes), and the third-class pollution indexes are organic pollution indexes (a mark symbol of the third-class pollution index is a phosphate pollution index of the plurality of pollution indexes);
the method comprises the steps of obtaining a first-class pollution index, a second-class pollution index and a third-class pollution index, carrying out data mark division on a plurality of pollution indexes according to the first-class pollution index, the second-class pollution index and the third-class pollution index, dividing the pollution indexes into a first-class pollution index set comprising a plurality of first-class pollution indexes, a second-class pollution index set comprising a plurality of second-class pollution indexes and a third-class pollution index set comprising a plurality of third-class pollution indexes, obtaining the first-class pollution index set, the second-class pollution index set and the third-class pollution index set, and providing support for subsequent orderly data analysis.
S30: acquiring a first-class pollution parameter set, a second-class pollution parameter set and a third-class pollution parameter set in the pollution parameter set according to the first-class pollution index set, the second-class pollution index set and the third-class pollution index set;
s40: analyzing and obtaining a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set in the first-class pollution parameter set, the second-class pollution parameter set and the third-class pollution parameter set;
specifically, the pollution parameter set is divided according to the first-class pollution index set, the second-class pollution index set and the third-class pollution index set, a first-class pollution parameter set (first-class pollution index set), a second-class pollution parameter set (second-class pollution index set) and a third-class pollution parameter set (third-class pollution index set) in the pollution parameter set are obtained, pollution degree analysis is performed in the first-class pollution parameter set, the second-class pollution parameter set and the third-class pollution parameter set respectively, a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set are obtained, and a data basis is provided for targeted wastewater treatment.
Step S40 includes the steps of:
s41: in the first-class pollution index set, carrying out weight distribution according to the processing difficulty of the plurality of first-class pollution indexes to obtain a first-class weight distribution result;
s42: acquiring parameter standards of the multiple first-class pollution indexes, and acquiring multiple first-class index parameter standards;
s43: calculating and obtaining a plurality of first-class pollution degree information of a plurality of first-class pollution parameters according to the first-class pollution parameter set and the plurality of first-class index parameter standards;
s44: carrying out weighted calculation on the multiple pieces of first-class pollution degree information according to the first-class weight distribution result to obtain a first-class pollution degree index set;
s45: and obtaining the second-class pollution degree index set and the third-class pollution degree index set.
Specifically, analyzing the pollution degree to obtain a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set, which specifically include: the treatment difficulty index is treatment consumption (the treatment consumption comprises material consumption, energy consumption, treatment time and other multi-party consumption), the parameter standards comprise a primary discharge standard, a secondary discharge standard and a tertiary discharge standard of integrated wastewater discharge standard (GB 8978-1996), and the plurality of first-class index parameter standards comprise mass concentration ranges of a plurality of grease and a plurality of first-class index parameter standard grades (the mass concentration ranges of the plurality of grease and the plurality of first-class index parameter standard grades are in one-to-one correspondence);
in the first-class pollution index set, respectively counting material consumption, energy consumption and processing time of air flotation pretreatment, ultrafiltration treatment and electro-flotation technology according to the processing difficulty of the plurality of first-class pollution indexes (the first-class pollution indexes are grease pollution indexes, the common processing mode of grease pollution can be air flotation pretreatment, ultrafiltration treatment and electro-flotation technology, and the processing difficulty is the processing difficulty index of the corresponding processing mode), subjectively weighting the material consumption, the energy consumption and the processing time by an analytic hierarchy process, wherein the analytic hierarchy process is a subjective weighting method, and performing weight calculation to obtain first-class weight distribution results, and the first-class weight distribution results comprise air flotation pretreatment weight distribution results, ultrafiltration treatment weight distribution results and electro-flotation technology weight distribution results;
obtaining the parameter standards of the multiple pollution indexes, and carrying out ultrafiltration treatment at an operating pressure of 0.1 (+ -0.05) MPa according to the parameter standards of the multiple pollution indexes (exemplarily, a cobalt oxide membrane with a pore diameter of 200 (+ -0.1) nm is adopted, wherein the oil interception rate reaches 99.3% under the optimal operating conditions that the membrane surface flow rate is 5 to 8m/s and the temperature is 45 ℃, and the concentration of the effluent oil reaches 99.3%<30mg/L, the stable flux of the membrane reaches 390L/(m) 2 H), water quality after treatment: the mass concentration of the grease is 0.1-2.7 mg/L, the effluent quality reaches the secondary discharge standard in the Integrated wastewater discharge Standard GB 18918-2002, and a plurality of index parameter standards (verified as known: the air flotation pretreatment meets the three-level discharge standard in the integrated wastewater discharge standard GB 18918-2002, the ultrafiltration treatment meets the two-level discharge standard in the integrated wastewater discharge standard GB 18918-2002, and the electro-flotation technology meets the first-level discharge standard in the integrated wastewater discharge standard GB 18918-2002);
according to the multiple first-class index parameter standards, performing pollution level calculation on the first-class pollution parameter set (the mass concentration of the grease is within the mass concentration range of a first grease, and the first-class pollution parameter standard corresponds to a first class, wherein the mass concentration range of the first grease belongs to the mass concentration range of multiple greases, the first-class index parameter standard first class belongs to multiple first-class index parameter standard classes), and obtaining multiple first-class pollution degree information of multiple first-class pollution parameters, wherein the multiple first-class pollution degree information comprises multiple first-class index parameter standard classes and multiple first-class pollution parameters; respectively performing weighted calculation (in the prior art, no redundancy is needed) on the multiple pieces of pollution degree information according to the class-one weight distribution result to obtain each element of the class-one pollution degree index set, and determining the class-one pollution degree index set; and traversing the steps to sequentially obtain the second-class pollution degree index set and the third-class pollution degree index set, thereby providing support for ensuring the rationality of the pollution degree.
S50: respectively optimizing the first-class processing parameters, the second-class processing parameters and the third-class processing parameters according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set to obtain optimal first-class processing parameters, optimal second-class processing parameters and optimal third-class processing parameters;
as shown in fig. 2, step S50 includes the steps of:
s51: optimizing the first class of processing parameters according to the first class of pollution degree index set to obtain the optimal first class of processing parameters;
s52: optimizing the second-class processing parameters according to the second-class pollution degree index set to obtain the optimal second-class processing parameters;
s53: and optimizing the three types of processing parameters according to the three types of pollution degree index sets to obtain the optimal three types of processing parameters.
S60: and processing the target wastewater by adopting the optimal first-class processing parameters, the optimal second-class processing parameters and the optimal third-class processing parameters.
Specifically, optimizing the first-class processing parameters, the second-class processing parameters and the third-class processing parameters respectively according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set to obtain optimal first-class processing parameters, optimal second-class processing parameters and optimal third-class processing parameters; the method specifically comprises the following steps: optimizing the first-class processing parameters according to the first-class pollution degree index set to obtain the optimal first-class processing parameters, wherein the mass concentration of the grease of the optimal first-class processing parameters is infinitely close to the lower limit of the interval of the mass concentration range of a plurality of greases; optimizing the second-class treatment parameters according to the second-class pollution degree index set to obtain the optimal second-class treatment parameters, wherein the mass concentration of the heavy metal of the optimal second-class treatment parameters is infinitely close to the lower limit of the interval of the mass concentration range of the heavy metal; optimizing the three types of processing parameters according to the three types of pollution degree index sets to obtain the optimal three types of processing parameters, wherein the mass concentration of the organic matters of the optimal three types of processing parameters is infinitely close to the lower limit of the interval of the mass concentration range of a plurality of organic matters, so that support is provided for cleaning grease pollution, heavy metal pollution and organic matter pollution in the automobile coating wastewater to the maximum extent;
and loading the optimal first-class treatment parameters, the optimal second-class treatment parameters and the optimal third-class treatment parameters to an intelligent control system for automobile coating wastewater treatment, inputting the optimal first-class treatment parameters, the optimal second-class treatment parameters and the optimal third-class treatment parameters into a wastewater treatment control function by the intelligent control system for automobile coating wastewater treatment, carrying the wastewater treatment control function by the optimal first-class treatment parameters, the optimal second-class treatment parameters and the optimal third-class treatment parameters, and treating the target wastewater to provide support for efficiently treating the automobile coating wastewater.
Step S51 includes the steps of:
s511: acquiring a plurality of first-class treatment modes, wherein the plurality of first-class treatment modes are treatment modes for carrying out sewage treatment on the plurality of first-class pollution indexes;
s512: acquiring a plurality of pieces of first-class adjustment amplitude information for adjusting the processing parameters of the plurality of first-class processing modes;
s513: and optimizing the processing parameters of the plurality of one-class processing modes according to the one-class pollution degree index set and the plurality of one-class adjustment amplitude information to obtain the optimal one-class processing parameters.
Specifically, optimizing the first-class processing parameters according to the first-class pollution degree index set to obtain the optimal first-class processing parameters specifically includes: the multiple first-class treatment modes are treatment modes for performing sewage treatment on the multiple first-class pollution indexes (common modes of oil and fat pollution can be air flotation pretreatment, ultrafiltration treatment and electric flotation technology, namely, the multiple first-class treatment modes can be other treatment modes such as air flotation pretreatment, ultrafiltration treatment and electric flotation technology), the multiple first-class adjustment amplitude information comprises a range interval of the mass concentration of the oil and fat (for example, the mass concentration of the ultrafiltration-treated oil and fat is 0.1-2.7 mg/L), and the optimal first-class treatment parameter belongs to multiple first-class adjustment amplitude information (the mass concentration of the oil and fat of the optimal first-class treatment parameter is infinitely close to the lower limit of the range of the mass concentration of the multiple oil and fat, for example, the mass concentration of the ultrafiltration-treated oil and fat is 0.1 mg/L);
acquiring a plurality of processing modes of one type; acquiring a plurality of pieces of first-class adjustment range information for adjusting the processing parameters of the plurality of first-class processing modes corresponding to the plurality of first-class processing modes, wherein the plurality of pieces of first-class adjustment range information further include technical parameter indexes corresponding to the adjustment of the mass concentration of the grease (the technical parameter indexes can be related parameter indexes such as membrane surface flow rate of ultrafiltration processing, in particular, the optimal operating condition of 45 ℃ is adopted, and the operating temperature of ultrafiltration processing does not belong to the technical parameter indexes); optimizing the processing parameters of the plurality of first-class processing modes based on the first-class pollution degree index set and the plurality of first-class adjustment amplitude information to obtain the optimal first-class processing parameters, and providing support for cleaning grease pollution in the automobile coating wastewater to the maximum extent.
Step S513 includes the steps of:
s5131: randomly selecting the processing parameters of the plurality of first-class processing modes to obtain a first-class processing parameter which is used as an optimal solution;
s5132: inputting the first one-class processing parameters into a pre-constructed one-class pollution processing scoring database to obtain a first processing score;
s5133: according to the information of the plurality of class adjustment amplitudes, randomly selecting and adjusting the processing parameters of the plurality of class processing modes to construct a first neighborhood of the first class processing parameters, wherein the first neighborhood comprises a plurality of class adjustment processing parameters;
s5134: inputting the plurality of adjusted first-class processing parameters into the first-class pollution treatment score database to obtain a plurality of adjusted treatment scores;
s5135: acquiring the maximum value in the plurality of adjustment processing scores as a second processing score, and taking the corresponding adjustment type processing parameter as a second type processing parameter;
s5136: judging whether the second processing score is larger than the first processing score, if so, taking the second type of processing parameters as an optimal solution, adding an adjustment mode for adjusting the second type of processing parameters into a taboo table, wherein the taboo table comprises taboo iteration times, and if not, taking the first type of processing parameters as the optimal solution;
s5137: continuously constructing a second neighborhood of the second-class processing parameter, and performing iterative optimization;
s5138: and stopping optimizing after the preset iteration times are reached, and outputting the final optimal solution to obtain the optimal class-one processing parameter.
Specifically, optimizing the processing parameters of the multiple first-type processing modes according to the first-type pollution degree index set and the multiple first-type adjustment amplitude information to obtain the optimal first-type processing parameters specifically includes: the processing parameters of the plurality of one-class processing modes correspond to a plurality of one-class processing modes (for example, ultrafiltration processing in the plurality of one-class processing modes, the processing parameters of the plurality of one-class processing modes include other processing parameters such as cobalt oxide membrane aperture, operating pressure, membrane surface flow rate, and the like), and the first-class processing parameters may include cobalt oxide membrane aperture data, operating pressure data, membrane surface flow rate data.
Randomly selecting (in the prior art) the processing parameters of the plurality of one-class processing modes to obtain a first one-class processing parameter, and taking the first one-class processing parameter as an optimal solution; inputting the first one-class processing parameters as input data into a pre-constructed one-class pollution processing scoring database for processing scoring to obtain a first processing score; according to the multiple pieces of first-class adjustment amplitude information, randomly selecting and adjusting the processing parameters of the multiple pieces of first-class processing modes (randomly selecting and adjusting one piece of processing mode of a randomly selected part to adjust the processing parameters, which is the prior art), constructing a first neighborhood of the first-class processing parameters, wherein the first neighborhood comprises multiple pieces of first-class adjustment processing parameters (for example, a cobalt oxide film with an aperture of 200 (+ -0.1) nm, and after the random selection and adjustment, the first-class adjustment processing parameters can be the aperture of the cobalt oxide film of 200.02nm, specifically, the random selection and adjustment satisfies multiple pieces of first-class adjustment amplitude information, namely, the first-class adjustment processing parameters can be the aperture of the cobalt oxide film, which belongs to the range of 199.9nm and 200.1nm, the aperture of the cobalt oxide film, which is 8713- (199.9nm and 200.1nm), namely, the random selection and adjustment does not satisfy multiple pieces of first-class adjustment amplitude information); traversing the steps, inputting the plurality of the adjusted first-class processing parameters into the first-class pollution processing score database to obtain a plurality of adjusted processing scores;
processing score comparison is carried out, the maximum value in the plurality of adjusting processing scores is obtained, the maximum value in the plurality of adjusting processing scores is used as a second processing score, and the corresponding adjusting first-class processing parameter is used as a second-class processing parameter;
judging whether the second processing score is larger than the first processing score, if so, taking the second type of processing parameters as an optimal solution, adding an adjusting mode for adjusting the second type of processing parameters into a taboo table, wherein the taboo table comprises taboo iteration times (the adjusting mode for adjusting the second type of processing parameters is added into the taboo table, the adjusting mode cannot be selected to adjust the first type of processing parameters within the taboo iteration times, other processing modes without taboo are selected to adjust the processing parameters, and a neighborhood is constructed), so that local optimization can be avoided, and if the second processing score is not larger than the first processing score, the first type of processing parameters are taken as the optimal solution; continuing the operation, continuously constructing a second neighborhood of the second type of processing parameters, and performing iterative optimization;
setting the iteration times to reach the preset iteration times as a stop condition, triggering the stop condition of iteration optimization after the iteration times reach the preset iteration times, stopping the optimization, outputting the final optimal solution, obtaining the optimal one-class processing parameters, setting the preset iteration times in a user-defined mode, providing a basis for flexibly limiting the accuracy of the optimal one-class processing parameters for a user, and ensuring that the accuracy of the optimal one-class processing parameters meets the preset requirement.
As shown in fig. 3, step S5132 includes the steps of:
s51321: acquiring a plurality of sample pollution degree index sets based on data of automobile coating wastewater treatment in historical time;
s51322: acquiring a plurality of sample class-I processing parameter sets and a plurality of sample class-I processing grade sets based on the plurality of sample class-I pollution degree index sets;
s51323: constructing and obtaining a plurality of data index information according to the sample class pollution degree index sets;
s51324: according to the sample type processing parameter sets, a primary data type and a plurality of primary data element sets are obtained;
s51325: according to the sample class processing grading sets, acquiring a secondary data class and a plurality of secondary data element sets;
s51326: and constructing the index relations of the plurality of data index information, the primary data categories, the plurality of primary data element sets, the secondary data categories and the plurality of secondary data element sets to obtain the pollution treatment scoring database.
Specifically, the method includes the steps of inputting the first one-class processing parameters as input data into a pre-constructed one-class pollution treatment scoring database for processing scoring to obtain a first processing score, and specifically includes the following steps: the historical time can be set to be the historical natural month of the last natural year and the current year, such as 6 months and 5 days in 22 years, the corresponding historical time is 1 month and 1 day in 21 years to 5 months and 31 days in 22 years, the setting mode of the historical time is not unique, the first-class processing parameter sets of the samples are the first-class processing parameters of the nodes at the historical time, the first-class data classes comprise other data classes such as ultrafiltration treatment-cobalt oxide membrane aperture data, ultrafiltration treatment-operating pressure data and ultrafiltration treatment-membrane surface flow rate data, and the second-class data classes comprise ultrafiltration treatment-first processing scoring intervals (the first-class processing scoring of the samples is 1 to 10), ultrafiltration treatment-second processing scoring intervals (the first-class processing scoring of the samples is 11 to 20), 8230, and ultrafiltration treatment-tenth processing scoring intervals (the first-class processing of the samples is 91 to 100);
extracting historical processing data of oil and fat pollution of the automobile coating wastewater in a limited range of historical time through a storage unit of the intelligent control system for treating the automobile coating wastewater to obtain a plurality of sample pollution degree index sets, wherein the sample pollution degree index sets comprise sample pollution degree index sets of a plurality of historical time nodes (the data types of the sample pollution degree index sets are consistent with the sample pollution degree index sets);
based on the sample class-one pollution degree index sets, obtaining a plurality of sample class-one processing parameter sets and a sample class-one processing score set (the mass concentration of the grease is 0.1-2.7mg/L, the 0.1-2.7mg/L is equally divided into one hundred unit value intervals, and the sample class-one processing score is correspondingly determined through the first interval of the historical mass concentration of the grease in the one hundred unit value intervals, wherein the one hundred unit value intervals exemplarily comprise a first value interval (0.1, 0.126), a second value interval (0.126, 0.152), a third value interval (0.152, 0.178) \\\ 8230, a first hundred value interval (2.674, 2.7), the historical mass concentration of the grease is 0.128mg/L, namely the historical mass concentration of the grease belongs to the second value interval, the sample class-one processing score is 99, and the sample class-one class processing score set is a class-one class processing score of the sample class-one class processing node at a plurality of time;
according to the sample pollution degree index set, constructing and obtaining a plurality of data index information according to the pollution degree index, wherein the pollution degree indexes of the data index information meet the requirement of uniform distribution; classifying the sample type processing parameter sets according to the sample type processing parameter sets and primary data types to obtain a plurality of primary data element sets; classifying the sample class processing score sets according to the sample class processing score sets and the class of secondary data to obtain a plurality of secondary data element sets; setting a plurality of data index information as first-level index information, setting a first-level data category as second-level index information, setting a second-level data category as third-level index information, constructing an index relation among the plurality of data index information, the first-level data category, the plurality of first-level data element sets, the second-level data category and the plurality of second-level data element sets, obtaining the pollution treatment grading database of the same type, and providing data support for quick grading of pollution treatment.
In summary, the intelligent control method and system for automobile coating wastewater treatment provided by the embodiment of the application have the following technical effects:
1. the method comprises the steps of acquiring a pollution parameter set of target wastewater according to a plurality of pollution indexes, dividing the pollution parameter set into a first-class pollution index set comprising a plurality of first-class pollution indexes, a second-class pollution index set comprising a plurality of second-class pollution indexes and a third-class pollution index set comprising a plurality of third-class pollution indexes, and acquiring a first-class pollution parameter set, a second-class pollution parameter set and a third-class pollution parameter set in a pollution parameter set; the method and the system for intelligently controlling the automobile coating wastewater treatment realize the emission standard which can meet various pollution purification effects of the automobile coating wastewater treatment according to pollutants contained in the wastewater and aiming at the pollution degree and the emission standard, the treatment effect and the treatment efficiency are considered in a balanced manner, and the directional optimization of the treatment parameters is ensured, thereby improving the technical effect of the precision of the treatment parameters of the wastewater.
2. Because a plurality of processing modes of one type are obtained; acquiring a plurality of pieces of first-class adjustment amplitude information for adjusting the processing parameters of the plurality of first-class processing modes; optimizing the processing parameters of the plurality of first-class processing modes according to the first-class pollution degree index set and the plurality of first-class adjustment amplitude information to obtain the optimal first-class processing parameters, and providing support for cleaning grease pollution in the automobile coating wastewater to the maximum extent.
Example two
Based on the same inventive concept as an intelligent control method for automobile painting wastewater treatment in the foregoing embodiment, as shown in fig. 4, an embodiment of the present application provides an intelligent control system for automobile painting wastewater treatment, wherein the system includes:
the system comprises a pollution parameter acquisition module 100, a data processing module and a data processing module, wherein the pollution parameter acquisition module is used for acquiring a pollution parameter set of target wastewater according to a plurality of pollution indexes, and the target wastewater is automobile coating wastewater to be treated;
a pollution index set obtaining module 200, configured to divide the multiple pollution indexes into a first-class pollution index set including multiple first-class pollution indexes, a second-class pollution index set including multiple second-class pollution indexes, and a third-class pollution index set including multiple third-class pollution indexes;
a pollution parameter set obtaining module 300, configured to obtain a first-type pollution parameter set, a second-type pollution parameter set, and a third-type pollution parameter set in the pollution parameter set according to the first-type pollution index set, the second-type pollution index set, and the third-type pollution index set;
a pollution degree index set obtaining module 400, configured to analyze and obtain a first-class pollution degree index set, a second-class pollution degree index set, and a third-class pollution degree index set in the first-class pollution parameter set, the second-class pollution parameter set, and the third-class pollution parameter set;
a processing parameter optimizing module 500, configured to perform optimization on the first-class processing parameter, the second-class processing parameter and the third-class processing parameter respectively according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set, so as to obtain an optimal first-class processing parameter, an optimal second-class processing parameter and an optimal third-class processing parameter;
and the wastewater treatment module 600 is configured to perform treatment on the target wastewater by using the optimal first-class treatment parameter, the optimal second-class treatment parameter, and the optimal third-class treatment parameter.
Further, the system comprises:
the pollution index determining module is used for acquiring a first-class pollution index, a second-class pollution index and a third-class pollution index, wherein the first-class pollution index is an oil pollution index, the second-class pollution index is a heavy metal pollution index, and the third-class pollution index is an organic pollution index;
and the pollution index dividing module is used for dividing the plurality of pollution indexes according to the first-class pollution indexes, the second-class pollution indexes and the third-class pollution indexes to obtain a first-class pollution index set, a second-class pollution index set and a third-class pollution index set.
Further, the system comprises:
the weight distribution module is used for carrying out weight distribution according to the processing difficulty of the multiple pollution indexes of the same type in the pollution index set of the same type to obtain a weight distribution result of the same type;
the parameter standard acquisition module is used for acquiring the parameter standards of the multiple first-class pollution indexes and acquiring the parameter standards of the multiple first-class indexes;
the pollution degree calculation module is used for calculating and obtaining a plurality of types of pollution degree information of a plurality of types of pollution parameters according to the type-one pollution parameter set and the plurality of types of index parameter standards;
the weighted calculation module is used for carrying out weighted calculation on the multiple pieces of pollution degree information according to the first-class weight distribution result to obtain a first-class pollution degree index set;
and the pollution degree index obtaining module is used for obtaining the second-class pollution degree index set and the third-class pollution degree index set.
Further, the system comprises:
the first processing parameter optimizing module is used for optimizing the one type of processing parameters according to the one type of pollution degree index set to obtain the optimal one type of processing parameters;
the second processing parameter optimizing module is used for optimizing the second type of processing parameters according to the second type of pollution degree index set to obtain the optimal second type of processing parameters;
and the third processing parameter optimizing module is used for optimizing the three types of processing parameters according to the three types of pollution degree index sets to obtain the optimal three types of processing parameters.
Further, the system comprises:
the processing mode obtaining module is used for obtaining a plurality of one-class processing modes, wherein the plurality of one-class processing modes are processing modes for carrying out sewage treatment on the plurality of one-class pollution indexes;
an adjustment amplitude information obtaining module, configured to obtain a plurality of pieces of first-class adjustment amplitude information for adjusting the processing parameters of the plurality of first-class processing manners;
and the processing parameter obtaining module is used for optimizing the processing parameters of the plurality of first-class processing modes according to the first-class pollution degree index set and the plurality of first-class adjustment amplitude information to obtain the optimal first-class processing parameters.
Further, the system comprises:
the random selection module is used for randomly selecting the processing parameters of the plurality of one-class processing modes to obtain a first one-class processing parameter which is used as an optimal solution;
the first processing grade obtaining module is used for inputting the first one-class processing parameters into a pre-constructed one-class pollution processing grade database to obtain a first processing grade;
a random selection adjustment module, configured to perform random selection adjustment on the processing parameters of the multiple one-class processing manners according to the multiple one-class adjustment amplitude information, so as to construct a first neighborhood of the first one-class processing parameters, where the first neighborhood includes multiple adjustment one-class processing parameters;
the adjustment processing grade obtaining module is used for inputting the adjustment processing parameters into the pollution processing grade database to obtain a plurality of adjustment processing grades;
a second processing score obtaining module, configured to obtain a maximum value in the plurality of adjustment processing scores as a second processing score, and use the corresponding adjustment-type processing parameter as a second-type processing parameter;
the score comparison module is used for judging whether the second processing score is larger than the first processing score, if so, the second processing parameter is used as an optimal solution, the adjustment mode of the second processing parameter obtained by adjustment is added into a taboo table, the taboo table comprises taboo iteration times, and if not, the first processing parameter is used as the optimal solution;
the iterative optimization module is used for continuously constructing a second neighborhood of the second type of processing parameters to carry out iterative optimization;
and the first-class processing parameter obtaining module is used for stopping optimizing after the preset iteration times are reached, outputting the final optimal solution and obtaining the optimal first-class processing parameters.
Further, the system comprises:
the pollution degree index acquisition module is used for acquiring a plurality of sample pollution degree index sets based on data of automobile coating wastewater treatment in historical time;
the sample first-class processing set acquisition module is used for acquiring a plurality of sample first-class processing parameter sets and a plurality of sample first-class processing score sets based on the plurality of sample first-class pollution degree index sets;
the data index information construction module is used for constructing and obtaining a plurality of data index information according to the plurality of sample pollution degree index sets;
the primary data acquisition module is used for acquiring a primary data category and a plurality of primary data element sets according to the plurality of sample type processing parameter sets;
the secondary data supply obtaining module is used for obtaining a secondary data category and a plurality of secondary data element sets according to the plurality of sample class processing score sets;
and the grading database obtaining module is used for constructing the index relations of the data index information, the primary data type, the primary data element sets, the secondary data type and the secondary data element sets to obtain the pollution treatment grading database.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be identified by a non-limiting computer processor call to implement any of the methods in the embodiments of the present application, without unnecessary limitation.
Furthermore, the first and second elements may represent more than an order, may represent a specific concept, and/or may be selected individually or collectively from a plurality of elements. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. An intelligent control method for automobile coating wastewater treatment is characterized by comprising the following steps:
collecting a pollution parameter set of target wastewater according to a plurality of pollution indexes, wherein the target wastewater is automobile coating wastewater to be treated;
dividing the plurality of pollution indexes into a first-class pollution index set comprising a plurality of first-class pollution indexes, a second-class pollution index set comprising a plurality of second-class pollution indexes and a third-class pollution index set comprising a plurality of third-class pollution indexes;
acquiring a first-class pollution parameter set, a second-class pollution parameter set and a third-class pollution parameter set in the pollution parameter set according to the first-class pollution index set, the second-class pollution index set and the third-class pollution index set;
analyzing and obtaining a first-class pollution degree index set, a second-class pollution degree index set and a third-class pollution degree index set in the first-class pollution parameter set, the second-class pollution parameter set and the third-class pollution parameter set;
respectively optimizing the first-class treatment parameters, the second-class treatment parameters and the third-class treatment parameters according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set to obtain optimal first-class treatment parameters, optimal second-class treatment parameters and optimal third-class treatment parameters;
and processing the target wastewater by adopting the optimal first-class processing parameters, the optimal second-class processing parameters and the optimal third-class processing parameters.
2. The method of claim 1, wherein dividing the plurality of pollution indicators into a first type pollution indicator set comprising a plurality of first type pollution indicators, a second type pollution indicator set comprising a plurality of second type pollution indicators, and a third type pollution indicator set comprising a plurality of third type pollution indicators comprises:
acquiring a first-class pollution index, a second-class pollution index and a third-class pollution index, wherein the first-class pollution index is an oil pollution index, the second-class pollution index is a heavy metal pollution index, and the third-class pollution index is an organic pollution index;
and dividing the plurality of pollution indexes according to the first-class pollution indexes, the second-class pollution indexes and the third-class pollution indexes to obtain a first-class pollution index set, a second-class pollution index set and a third-class pollution index set.
3. The method of claim 1, wherein analyzing the first, second and third sets of pollution level indices in the first, second and third sets of pollution parameters comprises:
in the first-class pollution index set, carrying out weight distribution according to the processing difficulty of the plurality of first-class pollution indexes to obtain a first-class weight distribution result;
acquiring parameter standards of the multiple first-class pollution indexes, and acquiring multiple first-class index parameter standards;
calculating and obtaining a plurality of first-class pollution degree information of a plurality of first-class pollution parameters according to the first-class pollution parameter set and the plurality of first-class index parameter standards;
carrying out weighted calculation on the multiple pieces of first-class pollution degree information according to the first-class weight distribution result to obtain a first-class pollution degree index set;
and obtaining the second-class pollution degree index set and the third-class pollution degree index set.
4. The method of claim 1, wherein the optimizing the first type, the second type and the third type of the processing parameters according to the first type, the second type and the third type of the pollution degree index sets respectively comprises:
optimizing the first class of processing parameters according to the first class of pollution degree index set to obtain the optimal first class of processing parameters;
optimizing the second-class processing parameters according to the second-class pollution degree index set to obtain the optimal second-class processing parameters;
and optimizing the three types of processing parameters according to the three types of pollution degree index sets to obtain the optimal three types of processing parameters.
5. The method of claim 4, wherein optimizing the set of process parameters to obtain the optimal set of process parameters based on the set of contamination level indices comprises:
acquiring a plurality of first-class treatment modes, wherein the plurality of first-class treatment modes are treatment modes for carrying out sewage treatment on the plurality of first-class pollution indexes;
acquiring a plurality of pieces of first-class adjustment amplitude information for adjusting the processing parameters of the plurality of first-class processing modes;
and optimizing the processing parameters of the plurality of first-class processing modes according to the first-class pollution degree index set and the plurality of first-class adjustment amplitude information to obtain the optimal first-class processing parameters.
6. The method of claim 5, wherein optimizing the processing parameters of the plurality of first-class processing modes according to the first-class pollution degree index set and the plurality of first-class adjustment amplitude information to obtain the optimal first-class processing parameters comprises:
randomly selecting the processing parameters of the plurality of first-class processing modes to obtain a first-class processing parameter which is used as an optimal solution;
inputting the first one-class processing parameters into a pre-constructed one-class pollution processing scoring database to obtain a first processing score;
according to the information of the plurality of first-class adjustment amplitudes, processing parameters of the plurality of first-class processing modes are randomly selected and adjusted, a first neighborhood of the first-class processing parameters is constructed, and the first neighborhood comprises a plurality of adjustment first-class processing parameters;
inputting the plurality of adjusted class treatment parameters into the class pollution treatment score database to obtain a plurality of adjusted treatment scores;
acquiring the maximum value in the multiple adjustment processing scores as a second processing score, and taking the corresponding adjustment one-class processing parameter as a second-class processing parameter;
judging whether the second processing score is larger than the first processing score, if so, taking the second type of processing parameters as an optimal solution, adding an adjusting mode for adjusting the second type of processing parameters into a taboo table, wherein the taboo table comprises taboo iteration times, and if not, taking the first type of processing parameters as the optimal solution;
continuing to construct a second neighborhood of the second class of processing parameters, and performing iterative optimization;
and stopping optimizing after the preset iteration times are reached, and outputting the final optimal solution to obtain the optimal class processing parameters.
7. The method of claim 6, wherein entering the first class of treatment parameters into a pre-constructed class of pollution treatment score database to obtain a first treatment score comprises:
acquiring a plurality of sample pollution degree index sets based on data of automobile coating wastewater treatment in historical time;
acquiring a plurality of sample class-I processing parameter sets and a plurality of sample class-I processing grade sets based on the plurality of sample class-I pollution degree index sets;
constructing and obtaining a plurality of data index information according to the sample class pollution degree index sets;
according to the sample type processing parameter sets, a primary data type and a plurality of primary data element sets are obtained;
according to the multiple sample class processing grading sets, obtaining a secondary data class and multiple secondary data element sets;
and constructing the index relations of the plurality of data index information, the primary data categories, the plurality of primary data element sets, the secondary data categories and the plurality of secondary data element sets to obtain the pollution treatment scoring database.
8. An intelligent control system for automobile painting wastewater treatment, characterized in that the intelligent control method for automobile painting wastewater treatment is used for implementing any one of claims 1 to 7, and comprises the following steps:
the pollution parameter acquisition module is used for acquiring a pollution parameter set of target wastewater according to a plurality of pollution indexes, wherein the target wastewater is automobile coating wastewater to be treated;
a pollution index set acquisition module, configured to divide the multiple pollution indexes into a first-class pollution index set including multiple first-class pollution indexes, a second-class pollution index set including multiple second-class pollution indexes, and a third-class pollution index set including multiple third-class pollution indexes;
a pollution parameter set acquisition module, configured to acquire a first-class pollution parameter set, a second-class pollution parameter set, and a third-class pollution parameter set in the pollution parameter set according to the first-class pollution index set, the second-class pollution index set, and the third-class pollution index set;
a pollution degree index set obtaining module for analyzing and obtaining a first type pollution degree index set, a second type pollution degree index set and a third type pollution degree index set in the first type pollution parameter set, the second type pollution parameter set and the third type pollution parameter set;
the processing parameter optimizing module is used for respectively optimizing the first-class processing parameters, the second-class processing parameters and the third-class processing parameters according to the first-class pollution degree index set, the second-class pollution degree index set and the third-class pollution degree index set to obtain optimal first-class processing parameters, optimal second-class processing parameters and optimal third-class processing parameters;
and the wastewater treatment module is used for treating the target wastewater by adopting the optimal first-class treatment parameters, the optimal second-class treatment parameters and the optimal third-class treatment parameters.
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