Integrated treatment method and treatment system for oily wastewater

Abstract

The invention discloses an integrated treatment method and system for oily wastewater, and relates to the related field of water treatment.The method comprises the steps that an integrated treatment platform for the oily wastewater is established; to-be-treated oily wastewater is obtained through the wastewater collection module and discharged into the pollutant detection module to be detected and analyzed, and oily wastewater treatment characteristic parameters are obtained; key links of wastewater treatment are obtained based on the integrated analysis module, data mining is carried out, and a wastewater integrated treatment space is constructed; taking the oily wastewater treatment characteristic parameters as constraint parameters, and performing multi-stage optimization analysis in the wastewater integrated treatment space to obtain a target wastewater integrated treatment scheme; and integrated processing control is carried out through the control processing module. The technical problems of low overall treatment efficiency and unstable treatment effect caused by lack of systematicness and integration in existing oily wastewater treatment are solved, and the technical effects of improving the treatment efficiency and the treatment effect stability through integrated analysis treatment are achieved.

Description

Technical Field

[0001] This application relates to the field of water treatment, and particularly to an integrated treatment method and system for oily wastewater. Background Art

[0002] Oily wastewater is a major category of industrial wastewater, mainly originating from multiple industries such as petroleum refining, petrochemical, food, leather, and metal processing. This type of wastewater not only has a large discharge volume but also has a complex composition, containing various organic substances and toxic and harmful substances, causing serious damage to the environment and ecological systems. Therefore, the treatment of oily wastewater is the focus and difficulty of industrial pollution prevention and control. Most of the existing oily wastewater treatment methods use single technologies, such as gravity separation, air flotation, electrocoagulation, adsorption, etc. These methods have achieved certain effects within their respective applicable ranges. However, due to the complex and variable composition of the wastewater, single treatment methods are difficult to meet the treatment requirements under different water quality conditions, and there is a lack of synergistic effects between treatment units, resulting in low overall treatment efficiency and unstable treatment effects.

[0003] In the current related technologies, there are technical problems in the treatment of oily wastewater, such as the lack of systematicness and integration, resulting in low overall treatment efficiency and unstable treatment effects. Summary of the Invention

[0004] This application provides an integrated treatment method and system for oily wastewater. By establishing an integrated treatment platform for oily wastewater, including a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module, the wastewater collection module is used to obtain the oily wastewater to be treated, the pollutant detection module is used to detect and analyze the wastewater to obtain the characteristic parameters for the treatment of oily wastewater, the integrated analysis module is used to perform data mining based on the key links of wastewater treatment, construct an integrated treatment space for wastewater, and conduct multi-stage optimization analysis, and the control and treatment module is used to perform integrated treatment control on the wastewater according to the target integrated treatment plan for wastewater, etc. Through these technical means, the technical effect of improving the treatment efficiency and the stability of treatment effects is achieved through integrated analysis and treatment.

[0005] The present application provides an integrated treatment method for oily wastewater, including: establishing an integrated treatment platform for oily wastewater, where the integrated treatment platform for oily wastewater includes a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module; obtaining the to-be-treated oily wastewater through the wastewater collection module, and discharging the to-be-treated oily wastewater into the pollutant detection module for detection and analysis to obtain the treatment characteristic parameters of the oily wastewater; obtaining the key links of wastewater treatment based on the integrated analysis module, where the key links of wastewater treatment include a pretreatment stage, a main treatment stage, and a deep treatment stage, and performing data mining according to the key links of wastewater treatment to construct an integrated wastewater treatment space; using the treatment characteristic parameters of the oily wastewater as constraint parameters to perform multi-stage optimization analysis in the integrated wastewater treatment space to obtain a target integrated wastewater treatment plan; and performing integrated treatment control on the to-be-treated oily wastewater through the control and treatment module based on the target integrated wastewater treatment plan.

[0006] In a possible implementation manner, for obtaining the treatment characteristic parameters of the oily wastewater, the following processing is performed: obtaining the treatment standard of the oily wastewater, extracting detection indexes from the to-be-treated oily wastewater according to the treatment standard of the oily wastewater to obtain a wastewater detection correlation index set; obtaining a wastewater detection device list through the pollutant detection module, and performing associated mapping on the wastewater detection correlation index set and the wastewater detection device list in sequence to activate an associated index wastewater detection device set; performing component detection on the to-be-treated oily wastewater based on the associated index wastewater detection device set to obtain a wastewater index detection data stream; constructing a wastewater characteristic adaptive detector, and analyzing the wastewater index detection data stream based on the wastewater characteristic adaptive detector to obtain the treatment characteristic parameters of the oily wastewater.

[0007] In a possible implementation manner, for constructing the wastewater characteristic adaptive detector, the following processing is performed: collecting and obtaining a wastewater characteristic detection data set, classifying and labeling the wastewater characteristic detection data set according to the wastewater detection correlation index set to obtain a wastewater index detection sample set; respectively training equal-weight layers of the wastewater index detection sample set by using a deep learning network to obtain a wastewater index detection branch network set; verifying the accuracy of the wastewater index detection branch network set, and using the branch network accuracy verification result as a fusion decision parameter set; and performing weighted fusion on the wastewater index detection branch network set based on the fusion decision parameter set to construct the wastewater characteristic adaptive detector.

[0008] In a possible implementation, to obtain the target integrated wastewater treatment solution, the following processing is performed: Obtain the multi-stage treatment objectives of the wastewater, perform multi-stage weighted fitting on the multi-stage treatment objectives of the wastewater respectively based on the key links of the wastewater treatment, and establish a multi-stage dynamic treatment effect evaluation function; Divide the integrated wastewater treatment space according to the key links of the wastewater treatment to obtain a multi-stage wastewater treatment memory bank; Use the characteristic parameters of the oily wastewater treatment as constraint parameters, and perform multi-stage optimization in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a multi-stage wastewater treatment parameter set; Perform integrated summary analysis on the multi-stage wastewater treatment parameter set to obtain the target integrated wastewater treatment solution.

[0009] In a possible implementation, to establish the multi-stage dynamic treatment effect evaluation function, the following processing is performed: Extract evaluation indicators from the multi-stage treatment objectives of the wastewater to obtain a set of wastewater treatment effect indicators; Perform evaluation fitting on the integrated wastewater treatment space respectively based on the set of wastewater treatment effect indicators to obtain a set of multi-index treatment effect evaluation functions; Perform key evaluation on the set of wastewater treatment effect indicators respectively according to the key links of the wastewater treatment to obtain a set of multi-stage index weight factors; Perform weighted fusion on the set of multi-index treatment effect evaluation functions based on the set of multi-stage index weight factors to establish the multi-stage dynamic treatment effect evaluation function.

[0010] In a possible implementation, to obtain the multi-stage wastewater treatment parameter set, the following processing is performed: Use the characteristic parameters of the oily wastewater treatment as constraint parameters, and perform multi-stage optimization matching in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a set of multi-stage treatment parameter thresholds; Randomly select N multi-stage treatment parameter sets in the set of multi-stage treatment parameter thresholds respectively, and evaluate the N multi-stage treatment parameter sets respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a set of N multi-stage parameter fitnesses; Perform iterative optimization in the set of multi-stage treatment parameter thresholds respectively based on the set of N multi-stage parameter fitnesses to obtain the multi-stage wastewater treatment parameter set.

[0011] In a possible implementation, to obtain the multi-stage wastewater treatment parameter set, the following processing is performed: Perform optimization interval indentation on the set of multi-stage treatment parameter thresholds respectively based on the set of N multi-stage parameter fitnesses to obtain a multi-stage treatment parameter interval; Use the multi-stage dynamic treatment effect evaluation function to perform iterative parameter selection and interval indentation optimization in the multi-stage treatment parameter interval respectively until a preset termination condition is reached to obtain the multi-stage wastewater treatment parameter set.

[0012] The present application also provides an integrated treatment system for oily wastewater, comprising: an integrated treatment platform establishment module for establishing an integrated treatment platform for oily wastewater, the integrated treatment platform for oily wastewater including a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module; a wastewater collection and detection module for obtaining the oily wastewater to be treated through the wastewater collection module and discharging the oily wastewater to be treated into the pollutant detection module for detection and analysis to obtain the treatment characteristic parameters of the oily wastewater; an integrated analysis module for obtaining the key links of wastewater treatment, the key links of wastewater treatment including a pretreatment stage, a main treatment stage, and a deep treatment stage, and performing data mining according to the key links of wastewater treatment to construct an integrated wastewater treatment space; a multi-stage optimization analysis module for using the treatment characteristic parameters of the oily wastewater as constraint parameters to perform multi-stage optimization analysis in the integrated wastewater treatment space to obtain a target integrated wastewater treatment plan; and a control and treatment module for performing integrated treatment control on the oily wastewater to be treated based on the target integrated wastewater treatment plan.

[0013] It is intended to propose an integrated treatment method and treatment system for oily wastewater through the present application. First, an integrated treatment platform for oily wastewater is established. The integrated treatment platform for oily wastewater includes a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module. Then, the oily wastewater to be treated is obtained through the wastewater collection module and discharged into the pollutant detection module for detection and analysis to obtain the treatment characteristic parameters of the oily wastewater. Next, the key links of wastewater treatment are obtained based on the integrated analysis module. The key links of wastewater treatment include a pretreatment stage, a main treatment stage, and a deep treatment stage, and data mining is performed according to the key links of wastewater treatment to construct an integrated wastewater treatment space. Then, the treatment characteristic parameters of the oily wastewater are used as constraint parameters to perform multi-stage optimization analysis in the integrated wastewater treatment space to obtain a target integrated wastewater treatment plan. Finally, through the control and treatment module, integrated treatment control is performed on the oily wastewater to be treated based on the target integrated wastewater treatment plan, achieving the technical effect of improving the treatment efficiency and the stability of the treatment effect through integrated analysis and treatment. Brief Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the need, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0015] Figure 1It is a schematic flow chart of an integrated treatment method for oily wastewater provided by an embodiment of the present application.

[0016] Figure 2 It is a schematic structural diagram of an integrated treatment system for oily wastewater provided by an embodiment of the present application.

[0017] Explanation of reference numerals: The integrated treatment platform establishment module 10 for oily wastewater, the wastewater collection and detection module 20, the integrated analysis module 30, the multi-stage optimization analysis module 40, and the control and treatment module 50. Detailed implementation manners

[0018] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented in accordance with the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0021] An embodiment of the present application provides an integrated treatment method for oily wastewater, as Figure 1 shown, the method includes:

[0022] Step S100, establish an integrated treatment platform for oily wastewater, and the integrated treatment platform for oily wastewater includes a wastewater collection module, a pollutant detection module, an integrated analysis module and a control and treatment module.

[0023] Specifically, by integrating the hardware devices (such as sensors, reactors, pumps, etc.) and software systems (such as data acquisition and analysis software, control system software, etc.) of different functional modules, a complete integrated oil-containing wastewater treatment platform is constructed. The platform includes a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module. Among them, the wastewater collection module includes a wastewater collection system, which is responsible for collecting oil-containing wastewater; the pollutant detection module includes various detection instruments, such as oil analyzers, water quality analyzers, etc., which are used to detect the types and concentrations of pollutants in the wastewater; the integrated analysis module is the part that integrates and analyzes the detection data, uses big data analysis and machine learning technologies to build a data analysis platform, and processes and analyzes the wastewater detection data; the control and treatment module is the part that controls the wastewater treatment process according to the analysis results, including an automatic control system, which can automatically adjust the treatment parameters according to the analysis results to achieve intelligent control of wastewater treatment.

[0024] Step S200, obtain the oil-containing wastewater to be treated through the wastewater collection module, and discharge the oil-containing wastewater to be treated into the pollutant detection module for detection and analysis to obtain the treatment characteristic parameters of the oil-containing wastewater.

[0025] Specifically, introduce the oil-containing wastewater to be treated (wastewater containing oil pollutants that needs to be treated) into the wastewater collection module through devices such as pipelines and pumps. Use the instruments in the pollutant detection module to sample and analyze the wastewater to obtain the treatment characteristic parameters of the wastewater (parameters that describe the key characteristics in the wastewater treatment process, such as oil content, chemical oxygen demand, pH value, etc.).

[0026] In a possible implementation manner, for the step of obtaining the treatment characteristic parameters of the oil-containing wastewater, step S200 further includes step S210, obtain the treatment standard of the oil-containing wastewater, and extract the detection indexes of the oil-containing wastewater to be treated according to the treatment standard of the oil-containing wastewater to obtain the set of wastewater detection related indexes. Specifically, obtain the latest treatment standard of the oil-containing wastewater from relevant departments or internal documents, that is, the water quality indexes and discharge standards that should be achieved for the treatment of the oil-containing wastewater. According to the standard content, screen out the detection indexes directly related to the treatment of the oil-containing wastewater, such as oil content, chemical oxygen demand (COD), biological oxygen demand (BOD), pH value, suspended solids (SS), etc.

[0027] Step S220: Obtain a list of wastewater detection devices through the pollutant detection module, and perform an associated mapping of the wastewater detection associated index set with the wastewater detection device list in sequence to activate the associated index wastewater detection device set. Specifically, using information system or database technology, list all devices available for wastewater detection, including information such as their models, functions, and accuracies. Match the detection indicators extracted in step S210 with the detection devices in the device list to ensure that each indicator has a corresponding detection device. According to the matching results, activate the detection devices associated with the detection indicators and prepare for detection.

[0028] Step S230: Based on the associated index wastewater detection device set, perform a component detection on the to-be-treated oily wastewater to obtain a wastewater index detection data stream. Specifically, collect an appropriate amount of samples from the to-be-treated oily wastewater, send the samples into the activated detection devices for component detection, perform qualitative and quantitative analysis on the components in the wastewater, and record the data during the detection process in real time to form a wastewater index detection data stream.

[0029] Step S240: Construct a wastewater characteristic adaptive detector, and based on the wastewater characteristic adaptive detector, analyze the wastewater index detection data stream to obtain the treatment characteristic parameters of the oily wastewater. Specifically, according to historical data, use machine learning or data analysis technology to construct a wastewater characteristic adaptive detector, which is a detection tool that can automatically adjust the analysis model according to wastewater detection data and identify wastewater characteristics. Input the wastewater index detection data stream obtained in step S230 into the wastewater characteristic adaptive detector, and use the detector to analyze the input data stream to identify and output the key characteristic parameters in the wastewater, such as oil content, COD value, etc.

[0030] In a possible implementation manner, for the step of constructing the wastewater characteristic adaptive detector, step S240 further includes step S241: Collect and obtain a wastewater characteristic detection data set, and classify and label the wastewater characteristic detection data set according to the wastewater detection associated index set to obtain a wastewater index detection sample set. Specifically, collect various detection data during the wastewater treatment process from sources such as historical wastewater treatment records and laboratory detection data. Perform preprocessing operations such as data cleaning, duplicate removal, and formatting on the collected data to ensure the accuracy and consistency of the data. According to the wastewater detection associated index set (such as oil content, COD, BOD, pH value, etc.), classify and label the preprocessed data to form a wastewater index detection sample set. Each sample set corresponds to a specific wastewater detection associated index.

[0031] Step S242: Use a deep learning network to perform equal-weight layer training on the wastewater index detection sample set respectively to obtain a wastewater index detection branch network set. Specifically, for each wastewater detection-related index, construct a deep learning branch network and set an equal-weight layer for training. The equal-weight layer is used to ensure that in the training process, each feature of the input data (i.e., each component of the wastewater detection-related index) can receive equal attention. Input the wastewater index detection sample set into the corresponding branch network for training, so that the network can accurately identify and predict various characteristic indexes in the wastewater.

[0032] Step S243: Verify the accuracy of the wastewater index detection branch network set and use the branch network accuracy verification results as the fusion decision parameter set. Specifically, use methods such as cross-validation to verify the accuracy of the branch network. Divide the wastewater index detection sample set into a training set and a validation set. Use the training set to train the branch network and use the validation set to verify the accuracy of the network. Calculate the accuracy rate of each branch network on the validation set as an evaluation index of the branch network accuracy. Use these accuracy rates as fusion weights for subsequent network weighted fusion. Here, the fusion weights are the weights for the prediction results of different branch networks for the same wastewater detection-related index.

[0033] Step S244: Based on the fusion decision parameter set, perform weighted fusion on the wastewater index detection branch network set to construct the wastewater characteristic adaptive detector. Specifically, for each wastewater detection-related index, multiple branch networks give prediction results. According to the fusion weights obtained in Step S243, perform weighted fusion on these prediction results to obtain the final prediction result. This final prediction result is the output of the wastewater characteristic adaptive detector for this wastewater detection-related index. For example, if for a certain wastewater detection-related index (such as oil content), there are three branch networks A, B, and C that give prediction results a, b, and c respectively, and their fusion weights are w1, w2, and w3 (satisfying w1 + w2 + w3 = 1), then the output of the wastewater characteristic adaptive detector for this index is: Output = w1a + w2b + w3c. In this way, for each wastewater detection-related index, the wastewater characteristic adaptive detector can give a final output that combines the prediction results of multiple branch networks. These outputs together constitute the overall output of the wastewater characteristic adaptive detector, which is used for subsequent wastewater treatment decisions. This implementation method improves the accuracy and robustness of the detection by utilizing the prediction capabilities of multiple branch networks.

[0034] Step S300: Based on the integrated analysis module, obtain the key links of wastewater treatment. The key links of wastewater treatment include the pretreatment stage, the main treatment stage, and the advanced treatment stage, and perform data mining according to the key links of wastewater treatment to construct a wastewater integrated treatment space.

[0035] Specifically, according to the wastewater treatment process, it is divided into a pretreatment stage, a main treatment stage, and a deep treatment stage, which are key stages in the wastewater treatment process. Machine learning algorithms are used to mine historical wastewater treatment data and extract key features. Based on the data mining results, a wastewater integrated treatment space containing different treatment stages and parameters is constructed.

[0036] Step S400: Use the characteristic parameters of the oily wastewater treatment as constraint parameters to perform multi-stage optimization analysis in the wastewater integrated treatment space to obtain a target wastewater integrated treatment plan.

[0037] Specifically, use the characteristic parameters of the oily wastewater treatment as constraint conditions, and in the wastewater integrated treatment space, perform optimization analysis one by one in the order of the pretreatment stage, the main treatment stage, and the deep treatment stage to find the optimal treatment plan.

[0038] In a possible implementation, for obtaining the target wastewater integrated treatment plan, step S400 further includes step S410: Obtain the multi-stage treatment objectives of the wastewater, and perform multi-stage weighted fitting on the multi-stage treatment objectives of the wastewater respectively based on the key links of the wastewater treatment to establish a multi-stage dynamic treatment effect evaluation function. Specifically, the multi-stage treatment objectives of the wastewater are set according to the standards and requirements of wastewater treatment, including the treatment effects required for each of the pretreatment stage, the main treatment stage, and the deep treatment stage, such as the proportion of oil removal, the reduction of chemical oxygen demand (COD), biological oxygen demand (BOD), and other index values. Since the importance and mutual influence of different treatment stages are different, weight processing is performed on the treatment objectives of each stage, and a comprehensive evaluation function is constructed using mathematical methods (such as linear weighted sum, non-linear function, etc.). This function can reflect the expected effect of the entire treatment process. For example, in the pretreatment stage, increase the weight of the treatment efficiency index, and in the deep treatment stage, increase the weight of the pollutant content index, and perform evaluation function fitting according to the different weights of each index to obtain a dynamic effect evaluation function suitable for the different requirements of each stage.

[0039] Step S420: Divide the wastewater integrated treatment space according to the key links of the wastewater treatment to obtain a multi-stage wastewater treatment memory bank. Specifically, according to the key links of the wastewater treatment, divide the wastewater integrated treatment space into different sub-spaces, and each sub-space corresponds to a treatment stage. Organize the historical treatment data, including treatment conditions, treatment parameters, and treatment effects, classify the data according to the treatment stage, and store it in the corresponding sub-space to obtain a multi-stage wastewater treatment memory bank.

[0040] Step S430: Using the oil-containing wastewater treatment characteristic parameters as constraint parameters, perform multi-stage optimization in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a multi-stage wastewater treatment parameter set. Specifically, the oil-containing wastewater treatment characteristic parameters, such as the initial oil content, COD value, pH value, etc. of the wastewater, these parameters limit the selection range of treatment schemes. In the memory bank of each treatment stage, use an optimization algorithm (such as genetic algorithm, particle swarm algorithm, etc.) to find a treatment parameter set that meets the constraint conditions and has the optimal evaluation function value.

[0041] Step S440: Conduct an integrated summary analysis on the multi-stage wastewater treatment parameter set to obtain the target wastewater integrated treatment scheme. Specifically, integrate the best treatment parameter sets of each stage together, check whether the treatment parameters of each stage are coordinated with each other, whether there are conflicts or unreasonable points, adjust the parameters as needed, optimize the treatment scheme, and finally form a complete treatment scheme. This implementation method can more accurately reflect the complexity and diversity of wastewater treatment through multi-stage treatment objectives and weighted fitting, realizes refined treatment, can more effectively treat oil-containing wastewater, and improves the treatment efficiency and effect.

[0042] In a possible implementation manner, for establishing the multi-stage dynamic treatment effect evaluation function, step S410 further includes step S411: Extract evaluation indicators for the multi-stage wastewater treatment objective to obtain a wastewater treatment effect indicator set. Specifically, through methods such as literature research, conduct an in-depth analysis of the multi-stage wastewater treatment objective, and extract the key indicators that can reflect the wastewater treatment effect, that is, the specific parameters or indicators used to measure the wastewater treatment effect, including the oil content, suspended solid content, chemical oxygen demand (COD), biological oxygen demand (BOD), etc. in the wastewater.

[0043] Step S412: Based on the wastewater treatment effect indicator set, respectively perform evaluation fitting on the wastewater integrated treatment space to obtain a multi-index treatment effect evaluation function set. Specifically, based on the extracted wastewater treatment effect indicator set, perform evaluation fitting on the wastewater integrated treatment space, that is, through a mathematical model or a simulation model, match or approximate the behavior or performance of the actual system with the theoretical expectation, and use tools such as statistical methods and machine learning algorithms to establish a mathematical relationship between the wastewater treatment effect indicators and the wastewater treatment process parameters.

[0044] Step S413: Conduct a critical evaluation of the wastewater treatment effect index set according to the key links of the wastewater treatment respectively, and obtain a multi-stage index weight factor set. Specifically, through methods such as expert scoring and Delphi method, conduct a critical evaluation of the wastewater treatment effect index set according to the key links of wastewater treatment (such as the pretreatment stage, the main treatment stage, and the advanced treatment stage), score or rank the importance of each index in the wastewater treatment process, and determine the importance of each wastewater treatment effect index in different treatment stages.

[0045] Step S414: Based on the multi-stage index weight factor set, perform weighted fusion on the multi-index treatment effect evaluation function set to establish the multi-stage dynamic treatment effect evaluation function. Specifically, use mathematical methods (such as the weighted average method) to perform weighted combination on the index evaluation functions of each stage to form the final multi-stage dynamic treatment effect evaluation function. This function comprehensively considers multiple key indicators in the wastewater treatment process and the importance of different treatment stages, providing a basis for subsequent optimization analysis. This implementation method, through critical evaluation and weighted fusion, fully considers the importance of different treatment stages and different indicators, improving the accuracy and practicality of the evaluation function.

[0046] In a possible implementation manner, for obtaining the multi-stage wastewater treatment parameter set, step S430 further includes step S431: Use the oil-containing wastewater treatment characteristic parameters as constraint parameters, and perform multi-stage optimization matching in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a multi-stage treatment parameter threshold set. Specifically, use the oil-containing wastewater treatment characteristic parameters as input to limit the search range. In the multi-stage wastewater treatment memory bank, search for similar historical treatment cases according to the constraint parameters. According to the searched historical cases, determine the treatment parameter threshold set for each treatment stage, and these threshold sets define the possible treatment parameter ranges.

[0047] Step S432: Randomly select N multi-stage treatment parameter sets within the multi-stage treatment parameter threshold set respectively, and use the multi-stage dynamic treatment effect evaluation function to evaluate the N multi-stage treatment parameter sets respectively to obtain N multi-stage parameter fitness sets. Specifically, within the parameter threshold set of each treatment stage, randomly generate N treatment parameter sets. Use the multi-stage dynamic treatment effect evaluation function to simulate or calculate each multi-stage treatment parameter set to obtain its corresponding treatment effect evaluation value (i.e., fitness).

[0048] Step S433: Based on the N multi-stage parameter fitness sets, iterative optimization is respectively performed within the multi-stage treatment parameter threshold set to obtain the multi-stage wastewater treatment parameter set. Specifically, an optimization algorithm is used to continuously iterate and update the treatment parameter set within the multi-stage treatment parameter threshold set. In each iteration, excellent treatment parameter sets are selected according to the fitness values for operations such as crossover and mutation to generate new treatment parameter sets, and their fitness is re-evaluated. Termination conditions such as the number of iterations and the fitness threshold are set. When the conditions are met, the iteration stops, and the optimal or near-optimal multi-stage wastewater treatment parameter set is output. This implementation method quickly narrows the search range, reduces unnecessary computational effort, and improves the optimization efficiency through multi-stage optimization matching and random selection and evaluation.

[0049] In a possible implementation, for obtaining the multi-stage wastewater treatment parameter set, step S433 further includes step S4331: Based on the N multi-stage parameter fitness sets, indent the search intervals of the multi-stage treatment parameter threshold set respectively to obtain the multi-stage treatment parameter intervals. Specifically, analyze the N multi-stage parameter fitness sets to find the intervals where the parameter sets with higher fitness are located. According to the intervals where these high-fitness parameter sets are located, determine new and smaller search intervals, that is, the multi-stage treatment parameter intervals.

[0050] Step S4332: Use the multi-stage dynamic treatment effect evaluation function to respectively perform iterative parameter selection and interval indentation optimization within the multi-stage treatment parameter intervals until the preset termination conditions are met to obtain the multi-stage wastewater treatment parameter set. Specifically, within the multi-stage treatment parameter intervals determined in step S4331, randomly generate initial parameter sets. Use the multi-stage dynamic treatment effect evaluation function to evaluate these parameter sets to obtain their fitness values. According to the fitness values, update the parameter sets in combination with the interval indentation technique. As the iteration progresses, further narrow the search interval according to the fitness values of the newly generated parameter sets. Set termination conditions such as the number of iterations and the fitness threshold. When the conditions are met, stop the iteration and output the optimal multi-stage wastewater treatment parameter set. This implementation method significantly narrows the search space and reduces unnecessary computational effort through interval indentation, thereby improving the search efficiency.

[0051] Step S500: Through the control and treatment module, perform integrated treatment control on the oily wastewater to be treated based on the target integrated wastewater treatment plan.

[0052] Specifically, according to the parameters and steps in the target integrated wastewater treatment solution, the wastewater is integrally treated by automated devices (such as reactors, pumps, etc.) and control systems (such as PLC, DCS, etc.), that is, multiple treatment steps and parameters are integrated for control. During the treatment process, the wastewater treatment effect is monitored in real time and adjusted as needed. The embodiment of the present application adopts the establishment of an integrated oil-containing wastewater treatment platform, including a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module. The wastewater collection module is used to obtain the oil-containing wastewater to be treated, the pollutant detection module is used to detect and analyze the wastewater to obtain the characteristic parameters of the oil-containing wastewater treatment, the integrated analysis module is used to perform data mining based on the key links of wastewater treatment, construct an integrated wastewater treatment space, and perform multi-stage optimization analysis. The control and treatment module is used to integrally control the wastewater treatment according to the target integrated wastewater treatment solution and other technical means, achieving the technical effect of improving the treatment efficiency and the stability of the treatment effect through integrated analysis and treatment.

[0053] In the above text, reference is made to Figure 1 a detailed description of an integrated treatment method for oil-containing wastewater according to an embodiment of the present invention. Next, reference will be made to Figure 2 describe an integrated treatment system for oil-containing wastewater according to an embodiment of the present invention.

[0054] An integrated treatment system for oil-containing wastewater according to an embodiment of the present invention is used to solve the technical problems existing in the existing oil-containing wastewater treatment, such as the lack of systematicness and integration, resulting in low overall treatment efficiency and unstable treatment effect. The technical effect of improving the treatment efficiency and the stability of the treatment effect is achieved through integrated analysis and treatment. An integrated treatment system for oil-containing wastewater includes: an integrated oil-containing wastewater treatment platform establishment module 10, a wastewater collection and detection module 20, an integrated analysis module 30, a multi-stage optimization analysis module 40, and a control and treatment module 50.

[0055] The oil-containing wastewater integrated treatment platform establishment module 10 is used to establish an oil-containing wastewater integrated treatment platform. The oil-containing wastewater integrated treatment platform includes a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module. The wastewater collection and detection module 20 is used to obtain the oil-containing wastewater to be treated through the wastewater collection module and discharge the oil-containing wastewater to be treated into the pollutant detection module for detection and analysis to obtain the characteristic parameters of the oil-containing wastewater treatment. The integrated analysis module 30 is used to obtain the key links of wastewater treatment. The key links of wastewater treatment include a pretreatment stage, a main treatment stage, and a deep treatment stage, and data mining is performed according to the key links of wastewater treatment to construct a wastewater integrated treatment space. The multi-stage optimization analysis module 40 is used to use the characteristic parameters of the oil-containing wastewater treatment as constraint parameters to perform multi-stage optimization analysis in the wastewater integrated treatment space to obtain a target wastewater integrated treatment plan. The control and treatment module 50 is used to perform integrated treatment control on the oil-containing wastewater to be treated based on the target wastewater integrated treatment plan.

[0056] Next, the specific configuration of the wastewater collection and detection module 20 will be described in detail. As described above, to obtain the characteristic parameters of the oil-containing wastewater treatment, the wastewater collection and detection module 20 may further include: a detection index extraction unit for obtaining the oil-containing wastewater treatment standard, extracting the detection indexes of the oil-containing wastewater to be treated according to the oil-containing wastewater treatment standard to obtain a set of wastewater detection-related indexes; a correlation mapping unit for obtaining a list of wastewater detection devices through the pollutant detection module, and performing correlation mapping on the set of wastewater detection-related indexes and the list of wastewater detection devices in sequence to activate a set of wastewater detection devices for related indexes; a component detection unit for performing component detection on the oil-containing wastewater to be treated based on the set of wastewater detection devices for related indexes to obtain a data stream of wastewater index detection; and a wastewater characteristic adaptive detection unit for constructing a wastewater characteristic adaptive detector and analyzing the data stream of wastewater index detection based on the wastewater characteristic adaptive detector to obtain the characteristic parameters of the oil-containing wastewater treatment.

[0057] Among them, for the construction of the wastewater characteristic adaptive detector, the wastewater characteristic adaptive detection unit may further include: a wastewater index detection sample set acquisition subunit for collecting and obtaining a wastewater characteristic detection data set, classifying and labeling the wastewater characteristic detection data set according to the wastewater detection correlation index set to obtain a wastewater index detection sample set; an equal-weight layer training subunit for using a deep learning network to respectively perform equal-weight layer training on the wastewater index detection sample set to obtain a wastewater index detection branch network set; an accuracy verification subunit for verifying the accuracy of the wastewater index detection branch network set and using the branch network accuracy verification result as a fusion decision parameter set; a weighted fusion subunit for weighted-fusing the wastewater index detection branch network set based on the fusion decision parameter set to construct the wastewater characteristic adaptive detector.

[0058] Next, the specific configuration of the multi-stage optimization analysis module 40 will be described in detail. As described above, to obtain the target wastewater integrated treatment solution, the multi-stage optimization analysis module 40 may further include: a multi-stage dynamic treatment effect evaluation function establishment unit for obtaining the wastewater multi-stage treatment target, performing multi-stage weighted fitting on the wastewater multi-stage treatment target respectively based on the key wastewater treatment links to establish a multi-stage dynamic treatment effect evaluation function; a space division unit for dividing the wastewater integrated treatment space according to the key wastewater treatment links to obtain a multi-stage wastewater treatment memory bank; a multi-stage optimization unit for using the oil-containing wastewater treatment characteristic parameters as constraint parameters and performing multi-stage optimization in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a multi-stage wastewater treatment parameter set; an integrated summary analysis unit for performing integrated summary analysis on the multi-stage wastewater treatment parameter set to obtain the target wastewater integrated treatment solution.

[0059] Among them, for the establishment of the multi-stage dynamic treatment effect evaluation function, the multi-stage dynamic treatment effect evaluation function establishment unit may further include: an evaluation index extraction subunit for extracting evaluation indexes from the wastewater multi-stage treatment target to obtain a wastewater treatment effect index set; an evaluation fitting subunit for respectively performing evaluation fitting on the wastewater integrated treatment space based on the wastewater treatment effect index set to obtain a multi-index treatment effect evaluation function set; a key evaluation subunit for respectively performing key evaluation on the wastewater treatment effect index set according to the key wastewater treatment links to obtain a multi-stage index weight factor set; a weighted fusion subunit for weighted-fusing the multi-index treatment effect evaluation function set based on the multi-stage index weight factor set to establish the multi-stage dynamic treatment effect evaluation function.

[0060] Among them, for obtaining the multi-stage wastewater treatment parameter set, the multi-stage optimization unit may further include: a multi-stage optimization matching subunit for using the oil-containing wastewater treatment characteristic parameters as constraint parameters, and performing multi-stage optimization matching in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a multi-stage treatment parameter threshold set; an evaluation subunit for randomly selecting N multi-stage treatment parameter sets from the multi-stage treatment parameter threshold set respectively, and evaluating the N multi-stage treatment parameter sets respectively by using the multi-stage dynamic treatment effect evaluation function to obtain N multi-stage parameter fitness sets; an iterative optimization subunit for performing iterative optimization in the multi-stage treatment parameter threshold set respectively based on the N multi-stage parameter fitness sets to obtain the multi-stage wastewater treatment parameter set.

[0061] Among them, for obtaining the multi-stage wastewater treatment parameter set, the iterative optimization subunit may further include: an optimization interval indentation micro-unit for performing optimization interval indentation on the multi-stage treatment parameter threshold set respectively based on the N multi-stage parameter fitness sets to obtain a multi-stage treatment parameter interval; a multi-stage wastewater treatment parameter set acquisition micro-unit for performing iterative parameter selection and interval indentation optimization respectively in the multi-stage treatment parameter interval by using the multi-stage dynamic treatment effect evaluation function until a preset termination condition is reached to obtain the multi-stage wastewater treatment parameter set.

[0062] The integrated treatment system for oil-containing wastewater provided by the embodiments of the present invention can execute the integrated treatment method for oil-containing wastewater provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0063] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included individual units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for facilitating mutual distinction and do not limit the protection scope of the present invention.

[0064] The above specific embodiments do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application. In some cases, the actions or steps recited in this application can be executed in a sequence different from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An integrated treatment method for oily wastewater, characterized in that The method includes: Establish an integrated oily wastewater treatment platform, which includes a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module; Obtain the oily wastewater to be treated through the wastewater collection module, and discharge the oily wastewater to be treated into the pollutant detection module for detection and analysis to obtain the treatment characteristic parameters of the oily wastewater; Based on the integrated analysis module, obtain the key links of wastewater treatment, which include a pretreatment stage, a main treatment stage, and a depth treatment stage, and perform data mining according to the key links of wastewater treatment to construct an integrated wastewater treatment space; Use the treatment characteristic parameters of the oily wastewater as constraint parameters, and perform multi-stage optimization analysis in the integrated wastewater treatment space to obtain the target integrated wastewater treatment plan; Based on the target integrated wastewater treatment plan through the control and treatment module, perform integrated treatment control on the oily wastewater to be treated.

2. The integrated treatment method for oily wastewater according to claim 1, wherein The obtaining of the treatment characteristic parameters of the oily wastewater includes: Obtain the treatment standard of the oily wastewater, extract the detection indexes of the oily wastewater to be treated according to the treatment standard of the oily wastewater to obtain a wastewater detection associated index set; Obtain a wastewater detection device list through the pollutant detection module, and perform associated mapping on the wastewater detection associated index set and the wastewater detection device list in sequence to activate an associated index wastewater detection device set; Perform component detection on the oily wastewater to be treated based on the associated index wastewater detection device set to obtain a wastewater index detection data stream; Construct a wastewater characteristic adaptive detector, and analyze the wastewater index detection data stream based on the wastewater characteristic adaptive detector to obtain the treatment characteristic parameters of the oily wastewater.

3. The integrated treatment method for oily wastewater according to claim 2, characterized in that, The construction of the wastewater characteristic adaptive detector includes: Collect and obtain a wastewater characteristic detection data set, classify and label the wastewater characteristic detection data set according to the wastewater detection associated index set to obtain a wastewater index detection sample set; Use a deep learning network to train the wastewater index detection sample set with equal weight layers respectively to obtain a wastewater index detection branch network set; Verify the accuracy of the wastewater index detection branch network set, and use the branch network accuracy verification result as a fusion decision parameter set; Based on the fusion decision parameter set, perform weighted fusion on the wastewater index detection branch network set to construct the wastewater characteristic adaptive detector.

4. The integrated treatment method for oily wastewater according to claim 1, characterized in that, The obtaining of the target integrated wastewater treatment plan includes: Obtain the multi-stage treatment target of the wastewater, and perform multi-stage weighted fitting on the multi-stage treatment target of the wastewater respectively based on the key links of wastewater treatment to establish a multi-stage dynamic treatment effect evaluation function; Divide the integrated wastewater treatment space according to the key links of wastewater treatment to obtain a multi-stage wastewater treatment memory bank; Use the treatment characteristic parameters of the oily wastewater as constraint parameters, and perform multi-stage optimization in the multi-stage wastewater treatment memory bank respectively by using the multi-stage dynamic treatment effect evaluation function to obtain a multi-stage wastewater treatment parameter set; Integrate and summarize the multi-stage wastewater treatment parameter set to obtain the target integrated wastewater treatment solution.

5. The integrated treatment method for oily wastewater according to claim 4, characterized in that, The establishment of the multi-stage dynamic treatment effect evaluation function includes: Extract evaluation indicators for the multi-stage treatment objectives of the wastewater to obtain a set of wastewater treatment effect indicators; Based on the set of wastewater treatment effect indicators, evaluate and fit the integrated wastewater treatment space respectively to obtain a set of multi-index treatment effect evaluation functions; Conduct a key evaluation on the set of wastewater treatment effect indicators according to the key links of the wastewater treatment respectively to obtain a set of multi-stage index weight factors; Based on the set of multi-stage index weight factors, perform weighted fusion on the set of multi-index treatment effect evaluation functions to establish the multi-stage dynamic treatment effect evaluation function.

6. The integrated treatment method for oily wastewater according to claim 4, characterized in that, The obtaining of the multi-stage wastewater treatment parameter set includes: Take the characteristic parameters of the oily wastewater treatment as constraint parameters, and use the multi-stage dynamic treatment effect evaluation function to perform multi-stage optimization matching in the multi-stage wastewater treatment memory bank respectively to obtain a set of multi-stage treatment parameter thresholds; Randomly select N multi-stage treatment parameter sets from the set of multi-stage treatment parameter thresholds respectively, and use the multi-stage dynamic treatment effect evaluation function to evaluate the N multi-stage treatment parameter sets respectively to obtain N multi-stage parameter fitness sets; Based on the N multi-stage parameter fitness sets, perform iterative optimization in the set of multi-stage treatment parameter thresholds respectively to obtain the multi-stage wastewater treatment parameter set.

7. The integrated treatment method for oily wastewater according to claim 6, wherein, The obtaining of the multi-stage wastewater treatment parameter set includes: Based on the N multi-stage parameter fitness sets, perform optimization interval indentation on the set of multi-stage treatment parameter thresholds respectively to obtain a multi-stage treatment parameter interval; Use the multi-stage dynamic treatment effect evaluation function to perform iterative parameter selection and interval indentation optimization in the multi-stage treatment parameter interval respectively until the preset termination condition is reached to obtain the multi-stage wastewater treatment parameter set.

8. An integrated treatment system for oily wastewater, characterized in that, The system is used to implement the integrated treatment method for oily wastewater according to any one of claims 1-7. The system includes: An oily wastewater integrated treatment platform establishment module for establishing an oily wastewater integrated treatment platform, which includes a wastewater collection module, a pollutant detection module, an integrated analysis module, and a control and treatment module; A wastewater collection and detection module for obtaining the oily wastewater to be treated through the wastewater collection module and discharging the oily wastewater to be treated into the pollutant detection module for detection and analysis to obtain the characteristic parameters of the oily wastewater treatment; An integrated analysis module for obtaining the key links of the wastewater treatment, which include a pretreatment stage, a main treatment stage, and a deep treatment stage, and performing data mining according to the key links of the wastewater treatment to construct an integrated wastewater treatment space; A multi-stage optimization analysis module for taking the characteristic parameters of the oily wastewater treatment as constraint parameters and performing multi-stage optimization analysis in the integrated wastewater treatment space to obtain the target integrated wastewater treatment solution; A control processing module for integrally controlling the treatment of the oily wastewater to be treated based on the target integrated wastewater treatment solution.

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