A recycling treatment and reuse analysis method and system for a plasticizer-containing waste liquid

Abstract

The present application relates to the technical field of recycling management, and particularly relates to a recycling processing and reuse analysis method and system for waste liquid containing plasticizers. The method comprises the following steps: installing a gas chromatograph-mass spectrometer or an inductively coupled plasma mass spectrometer at each position node of a source of waste liquid containing plasticizers, and monitoring the composition of the waste liquid containing plasticizers in real time to obtain a composition monitoring data set; placing the waste liquid containing plasticizers into a distillation column for distillation and recycling, and monitoring the recycling reaction of the waste liquid in real time to obtain a recycling reaction data set; transmitting the composition monitoring data set and the recycling reaction data set to a data processing center in real time, and performing fusion segmentation division processing and constraint recycling efficiency evaluation to obtain a recycling efficiency of the waste liquid containing plasticizers; and performing distillation and recycling processing and product reuse analysis according to the recycling efficiency of the waste liquid containing plasticizers to generate a recycling and reuse decision for the waste liquid containing plasticizers. The present application can realize efficient recycling of waste liquid containing plasticizers, and improve resource utilization.

Description

Technical Field

[0001] This invention relates to the field of recycling management technology, and in particular to an analytical method and system for the recycling, treatment and reuse of plasticizer-containing waste liquid. Background Technology

[0002] Plasticizers, commonly used chemical additives in plastics, rubber, coatings, and other products, are widely applied in production processes to improve the flexibility, ductility, and processability of materials. However, plasticizers gradually migrate into the environment during use, especially into wastewater and waste liquids, leading to pollutant accumulation and potential harm to the ecological environment and human health. Particularly during the production, processing, and application of plasticizers, waste liquids often contain high levels of plasticizers, making their recycling and treatment an urgent environmental issue. Currently, the recycling and treatment of plasticizer-containing waste liquids mainly relies on traditional physical, chemical, and biological methods. Common treatment technologies include adsorption, membrane separation, and chemical precipitation. While these methods can remove plasticizers from waste liquids to some extent, the wide variety of plasticizers with significant differences in chemical structure and physical properties makes traditional treatment methods ineffective when dealing with mixed plasticizer waste liquids and fails to fully realize the recycling and reuse of plasticizers in waste liquids. Summary of the Invention

[0003] Therefore, it is necessary for the present invention to provide a method and system for the recycling, treatment and reuse of plasticizer-containing waste liquid, in order to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, a method for the recycling, treatment, and reuse of plasticizer-containing waste liquid includes the following steps:

[0005] Step S1: Install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various locations along the plasticizer-containing wastewater source. Use these instruments to monitor the types, concentrations, and ion concentrations of impurities in the plasticizer-containing wastewater in real time to generate a plasticizer-containing wastewater component monitoring dataset. Place the corresponding plasticizer-containing wastewater into a distillation column for distillation and recovery. Use various sensors to monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time to obtain a wastewater recovery reaction dataset.

[0006] Step S2: The monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset are transmitted to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling treatment dataset for each time segment.

[0007] Step S3: Design the corresponding plasticizer-containing recovery distillation constraints through the distillation column, and evaluate the constraint recovery efficiency of the plasticizer-containing waste liquid recovery treatment dataset under each time segment based on the plasticizer-containing recovery distillation constraints to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery products;

[0008] Step S4: Obtain the corresponding plasticizer purity and waste liquid impurity content from the plasticizer-containing waste liquid recovery products, and perform reuse assessment and calculation on the plasticizer-containing waste liquid recovery products based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the products; perform product reuse analysis on the corresponding plasticizer-containing waste liquid recovery products based on the plasticizer recycling and reuse probability of the products to generate a plasticizer-containing waste liquid recycling and reuse decision.

[0009] Furthermore, step S1 includes the following steps:

[0010] Step S11: Install, debug, and calibrate the corresponding gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry at each location node of the plasticizer-containing waste liquid generation source;

[0011] Step S12: Use gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry to monitor the type, concentration, and plasma concentration of the plasticizer in the plasticizer-containing waste liquid in real time, so as to generate a monitoring dataset of the plasticizer-containing waste liquid components.

[0012] Step S13: Place the corresponding plasticizer-containing waste liquid into a distillation tower to simulate the distillation and recovery operation, so as to generate the plasticizer-containing waste liquid distillation and recovery process;

[0013] Step S14: Real-time monitoring of process parameters of plasticizer-containing waste liquid distillation and recovery process is carried out using various sensors to monitor the temperature, pressure, flow rate and pH value corresponding to the distillation and recovery process in real time, and to obtain waste liquid recovery reaction dataset.

[0014] Furthermore, the plasticizers mentioned in step S12 are specifically phthalates and phosphates.

[0015] Furthermore, step S2 includes the following steps:

[0016] Step S21: Transmit the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to the data processing center in real time via wireless transmission;

[0017] Step S22: Use the data processing center to merge and store the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recovery reaction dataset into the same dataset, and perform data cleaning to remove environmental noise, equipment noise, outliers and duplicate data to obtain a high-quality dataset of plasticizer-containing waste liquid recovery.

[0018] Step S23: Normalize the high-quality dataset of plasticizer-containing waste liquid recycling to unify the plasticizer-containing components and recycling reaction parameters of different magnitudes to the same scale, and obtain the normalized dataset of plasticizer-containing waste liquid recycling.

[0019] Step S24: Perform time-series synchronization processing on the normalized dataset of plasticizer-containing waste liquid recycling to obtain a large dataset of plasticizer-containing waste liquid recycling within the same time series.

[0020] Step S25: Perform time-series segmentation on the large dataset of plasticizer-containing waste liquid recycling within the same time range to obtain the corresponding dataset of plasticizer-containing waste liquid recycling treatment under each time segment.

[0021] Furthermore, step S3 includes the following steps:

[0022] Step S31: Design the corresponding plasticizer recovery distillation constraints through the distillation column design, including distillation temperature constraints, extractant type constraints, and extractant dosage constraints;

[0023] Step S32: Based on the plasticizer-containing waste liquid recovery and treatment dataset under each time segment, evaluate the constraint recovery efficiency to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition.

[0024] Step S33: Determine the corresponding combination of plasticizer recovery constraints to maximize the recovery efficiency of plasticizers under each distillation constraint;

[0025] Step S34: Distill and recover the corresponding plasticizer-containing waste liquid according to the plasticizer recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery product.

[0026] Furthermore, step S32 includes the following steps:

[0027] Step S321: Determine the corresponding maximum and minimum limiting distillation temperatures based on the distillation temperature constraints;

[0028] Step S322: Determine the corresponding plasticizer-containing recovery extraction reaction factor based on the extractant type constraint;

[0029] Step S323: Determine the maximum and minimum extraction amounts of plasticizer-containing material based on the extractant dosage constraints;

[0030] Step S324: Based on the maximum and minimum limiting distillation temperatures, the reaction factor for plasticizer recovery extraction, the maximum and minimum amount of plasticizer recovery extraction, the plasticizer recovery efficiency calculation formula is used to evaluate the constrained recovery efficiency of the plasticizer-containing waste liquid recovery treatment dataset for each time segment, so as to obtain the plasticizer recovery efficiency under each distillation constraint condition.

[0031] Furthermore, the formula for calculating the distillation recovery efficiency in step S324 is as follows:

[0032]

[0033] In the formula, ε d For plasticizer recovery efficiency, T min To minimize the distillation temperature, T max To limit the distillation temperature to the maximum extent, M min For the minimum amount of plasticizer recovery extraction, M max The maximum extraction dosage for plasticizer recovery is given by T, where T is the distillation temperature variation parameter, m is the extractant dosage variation parameter, and D is the extractant dosage variation parameter. e (T) represents the reaction strength between the plasticizer and extractant at distillation temperature T, and α2 is the parameter affecting distillation temperature control. opt The optimal operating temperature for distillation recovery is given by β2, which is the parameter for inhibiting the effect of distillation temperature, and ρ is the extraction reaction factor for plasticizer recovery. This is a correction factor for the recovery efficiency of plasticizers.

[0034] Furthermore, step S4 includes the following steps:

[0035] Step S41: Obtain the corresponding plasticizer purity and waste liquid impurity content through the recycled products of plasticizer-containing waste liquid;

[0036] Step S42: Obtain the viscosity and boiling point of the corresponding plasticizer product from the recycled plasticizer-containing waste liquid;

[0037] Step S43: Based on the plasticizer purity, waste liquid impurity content, plasticizer product viscosity and plasticizer product boiling point, the reuse evaluation calculation formula of the recycled product is used to evaluate and calculate the reuse probability of the plasticizer in the recycled product.

[0038] Step S44: Based on the plasticizer recycling and reuse probability of the product, perform product reuse analysis on the corresponding plasticizer-containing waste liquid recovery product. If the plasticizer recycling and reuse probability of the product reaches 95% or more, it is recommended to reuse the plasticizer-containing waste liquid recovery product. Otherwise, it is recommended to further recycle and purify the product to generate a decision on plasticizer-containing waste liquid recycling and reuse.

[0039] Furthermore, the specific calculation formula for the reuse assessment of recycled products mentioned in step S43 is as follows:

[0040]

[0041] In the formula, P r C represents the probability of recycling and reusing the plasticizer in the product. p Let x represent the plasticizer purity, x be the plasticizer concentration variation parameter in the recycled product containing plasticizer wastewater, x0 be the initial plasticizer concentration, α1 be the weighting coefficient for plasticizer concentration variation, and C be the plasticizer concentration variation parameter. i β1 is the impurity content of the waste liquid, η is the impurity content weighting coefficient, and T is the viscosity of the plasticizer product. b ξ represents the boiling point of the plasticizer product, and ξ is a correction coefficient for the probability of recycling and reusing the plasticizer product.

[0042] Furthermore, the present invention also provides a system for the recycling, treatment, and reuse analysis of plasticizer-containing waste liquid, used to perform the method for the recycling, treatment, and reuse analysis of plasticizer-containing waste liquid as described above. The system includes:

[0043] The real-time monitoring module for the waste liquid treatment process is used to install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various points along the source of plasticizer-containing waste liquid. These instruments monitor the types, concentrations, and ion concentrations of impurities in the plasticizer-containing waste liquid in real time, generating a dataset of plasticizer-containing waste liquid composition. The corresponding plasticizer-containing waste liquid is then placed in a distillation column for distillation and recovery. Various sensors monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time, thus obtaining a waste liquid recovery reaction dataset.

[0044] The waste liquid recycling data preprocessing module is used to transmit the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recycling reaction dataset to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling processing dataset for each time segment.

[0045] The recycling constraint maximization module is used to design corresponding plasticizer-containing recovery distillation constraints through distillation towers, and to evaluate the constraint recovery efficiency of plasticizer-containing waste liquid recovery treatment datasets at each time segment based on the plasticizer-containing recovery distillation constraints, so as to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery products;

[0046] The recycled product reuse assessment module is used to obtain the corresponding plasticizer purity and waste liquid impurity content from the recycled products containing plasticizer waste liquid, and to perform reuse assessment and calculation on the recycled products containing plasticizer waste liquid based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the product; based on the plasticizer recycling and reuse probability of the product, the corresponding recycled products containing plasticizer waste liquid are analyzed for reuse to generate a decision on the recycling and reuse of plasticizer waste liquid.

[0047] The beneficial effects of this invention are:

[0048] 1. The method for recycling, treating, and reusing plasticizer-containing wastewater proposed in this invention, compared with existing technologies, has the advantage of enabling real-time monitoring of wastewater components by installing gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) at various points along the source of plasticizer-containing wastewater generation. These instruments can effectively detect the type, concentration, and impurities of plasticizers in the wastewater, generating accurate component datasets. Plasticizers are typically composed of multiple different chemical components, which can be captured in real time by high-precision instruments such as GC-MS and ICP-MS. The chemical changes in the waste liquid provide reliable real-time data for subsequent treatment. During the distillation and recovery stage, various sensors are installed to monitor important parameters such as temperature, pressure, flow rate, and pH value, collecting real-time data on the waste liquid recovery reaction. Changes in temperature, pressure, and flow rate directly affect the efficiency of the distillation and recovery process, while changes in pH value may reflect the chemical reaction state in the waste liquid. By monitoring these parameters, operating conditions can be adjusted in a timely manner during the waste liquid recovery process to ensure maximum recovery effect. The key to this step is to achieve comprehensive control over the composition of plasticizer waste liquid and the recovery process through precise real-time data monitoring. Secondly, by wirelessly transmitting the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recovery reaction dataset to the data processing center in real time and then fusing the data, this real-time transmission mechanism can simultaneously send various data (such as plasticizer type, concentration, temperature, pressure, etc.) during the waste liquid recovery process to the data processing center, providing comprehensive information support for subsequent data analysis. The use of wireless transmission greatly improves the efficiency of data acquisition and transmission, reduces data delays and transmission errors caused by traditional wired transmission, and forms a dataset with time-series characteristics through data fusion and segmentation processing, facilitating the analysis of waste liquid recovery effects in different time periods. Data fusion and time segmentation processing allow the processing center to analyze the dynamic changes of waste liquid recovery from multiple perspectives, providing a reliable basis for accurately assessing recovery efficiency and optimizing treatment conditions, improving the monitorability and adjustability of the waste liquid recovery process, and helping to improve the response speed and processing efficiency of the recovery system.Then, the waste liquid recovery efficiency is evaluated by considering the recovery distillation constraints based on the distillation tower design and combining the previously provided processing data. The distillation constraints include physical parameters such as temperature, pressure, and flow rate, which directly affect the recovery efficiency of plasticizers. Based on the recovery data at different time points during the recovery process, the data processing center can quantitatively evaluate the waste liquid recovery efficiency to ensure the effectiveness of the distillation recovery process. In evaluating the recovery efficiency, various possible distillation constraints are considered, thereby optimizing the recovery efficiency. By maximizing the combination of distillation constraints, the most suitable operating parameter configuration can be found to achieve efficient recovery of plasticizers from the waste liquid. The key to this step is that the yield and efficiency of waste liquid recovery are significantly improved through the fine control of the distillation process and the optimization of the constraints. Finally, by analyzing the plasticizer purity and impurity content of the recycled products from plasticizer-containing waste liquid, the reuse value of the recycled products is further evaluated. The purity of the plasticizer is a key factor determining its reuse potential; the higher the purity, the better the reuse effect. The impurity content in the waste liquid affects the performance of the plasticizer, so thorough monitoring and evaluation are necessary. Based on the plasticizer purity and impurity content in the waste liquid, the data processing center can assess the reuse potential of the recycled products and calculate the probability of plasticizer recycling and reuse. This assessment will guide subsequent reuse decisions, helping to achieve the recycling of plasticizers while ensuring product quality. Through accurate evaluation of the reuse value of recycled products, it is possible to effectively determine when and how to incorporate recycled products into the next production process, thereby reducing dependence on new resources. This not only improves resource utilization but also fully realizes the recycling and reuse of plasticizers in waste liquid.

[0049] 2. The plasticizer-containing waste liquid recycling and reuse analysis system proposed in this invention consists of a real-time monitoring module for the waste liquid treatment process, a waste liquid recycling data preprocessing module, a recycling constraint maximization processing module, and a recycled product reuse evaluation module. It can realize the recycling and reuse analysis method for any plasticizer-containing waste liquid described in this invention. The system uses the combined operations of computer programs running on each module to achieve the recycling and reuse analysis method for plasticizer-containing waste liquid. The internal structure of the system cooperates with each other, which can greatly reduce repetitive work and manpower input, and can quickly and effectively provide a more accurate and efficient recycling and reuse analysis process for plasticizer-containing waste liquid, thereby simplifying the operation process of the plasticizer-containing waste liquid recycling and reuse analysis system. Attached Figure Description

[0050] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0051] Figure 1This is a schematic flowchart of the analytical method for recycling, treating, and reusing plasticizer-containing waste liquid according to the present invention.

[0052] Figure 2 for Figure 1 A detailed flowchart of step S1. Detailed Implementation

[0053] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0054] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0055] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0056] To achieve the above objectives, please refer to Figures 1 to 2 This invention provides a method for the recycling, treatment, and reuse of plasticizer-containing wastewater, the method comprising the following steps:

[0057] Step S1: Install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various locations along the plasticizer-containing wastewater source. Use these instruments to monitor the types, concentrations, and ion concentrations of impurities in the plasticizer-containing wastewater in real time to generate a plasticizer-containing wastewater component monitoring dataset. Place the corresponding plasticizer-containing wastewater into a distillation column for distillation and recovery. Use various sensors to monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time to obtain a wastewater recovery reaction dataset.

[0058] Step S2: The monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset are transmitted to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling treatment dataset for each time segment.

[0059] Step S3: Design the corresponding plasticizer-containing recovery distillation constraints through the distillation column, and evaluate the constraint recovery efficiency of the plasticizer-containing waste liquid recovery treatment dataset under each time segment based on the plasticizer-containing recovery distillation constraints to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery products;

[0060] Step S4: Obtain the corresponding plasticizer purity and waste liquid impurity content from the plasticizer-containing waste liquid recovery products, and perform reuse assessment and calculation on the plasticizer-containing waste liquid recovery products based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the products; perform product reuse analysis on the corresponding plasticizer-containing waste liquid recovery products based on the plasticizer recycling and reuse probability of the products to generate a plasticizer-containing waste liquid recycling and reuse decision.

[0061] In the embodiments of this invention, please refer to Figure 1 The diagram shown is a flowchart illustrating the steps of the method for recycling, treating, and reusing plasticizer-containing wastewater according to the present invention. In this example, the method for recycling, treating, and reusing plasticizer-containing wastewater includes the following steps:

[0062] Step S1: Install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various locations along the plasticizer-containing wastewater source. Use these instruments to monitor the types, concentrations, and ion concentrations of impurities in the plasticizer-containing wastewater in real time to generate a plasticizer-containing wastewater component monitoring dataset. Place the corresponding plasticizer-containing wastewater into a distillation column for distillation and recovery. Use various sensors to monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time to obtain a wastewater recovery reaction dataset.

[0063] In this embodiment of the invention, gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) is installed at various points at the source of plasticizer-containing waste liquid to monitor the waste liquid in real time. These instruments can accurately detect the type, concentration, and impurity content of plasticizers in the waste liquid. In actual operation, GC-MS is used to vaporize, separate, and analyze the waste liquid sample by mass spectrometry to accurately obtain the chemical composition and concentration of plasticizers. At the same time, ICP-MS can be used to analyze metallic impurities in the waste liquid. The monitoring data is collected and recorded in real time through a connection with the relevant control system to generate a monitoring dataset of plasticizer-containing waste liquid components. Next, the collected plasticizer-containing waste liquid is introduced into a distillation column for distillation and recovery treatment. The distillation column is equipped with multiple sensors to monitor important parameters such as temperature, pressure, flow rate, and pH value in real time during the distillation process. These real-time data reflect the distillation process of the waste liquid, and finally, a waste liquid recovery reaction dataset is obtained.

[0064] Step S2: The monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset are transmitted to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling treatment dataset for each time segment.

[0065] In this embodiment of the invention, the previously obtained monitoring dataset of plasticizer-containing waste liquid components and waste liquid recovery reaction dataset are transmitted to the data processing center via a wireless transmission system. The wireless transmission system can upload data from field devices to the central server in real time via Wi-Fi, Bluetooth, or 5G network. The data processing center receives and performs fusion processing through an efficient data processing platform, merging and segmenting the component monitoring dataset and reaction dataset. During this process, the data processing system divides each data segment according to the timestamp, with each time period corresponding to a set of monitoring data. These data will be further cleaned and corrected to ensure their accuracy, and a time-segmented waste liquid recovery treatment dataset will be generated. Each data segment represents the key operating parameters and waste liquid component changes during the distillation recovery process, ultimately obtaining the corresponding plasticizer-containing waste liquid recovery treatment dataset for each time segment.

[0066] Step S3: Design the corresponding plasticizer-containing recovery distillation constraints through the distillation column, and evaluate the constraint recovery efficiency of the plasticizer-containing waste liquid recovery treatment dataset under each time segment based on the plasticizer-containing recovery distillation constraints to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery products;

[0067] In this embodiment of the invention, constraints on the plasticizer-containing wastewater recovery distillation process are determined based on the designed distillation column structure and recovery requirements. The distillation column design includes constraints on process parameters such as distillation temperature, extractant type, and extractant dosage. These parameters are crucial to the plasticizer recovery efficiency. Processing data obtained through experiments over various time periods are combined with the aforementioned recovery distillation constraints to evaluate the recovery efficiency. Specific evaluation methods include calculating the correlation between the plasticizer recovery rate and wastewater composition changes over each time period, and analyzing the recovery efficiency based on the recovery constraints. This yields the plasticizer recovery efficiency under each distillation constraint. These data are used to evaluate and determine the optimal recovery strategy under different constraints. By comparing the efficiency of different combinations of recovery constraints, the optimal combination maximizing recovery constraints is selected. This combination will be applied to the actual wastewater recovery process to ensure maximum plasticizer recovery efficiency, thereby obtaining an efficient and economical distillation recovery treatment scheme, ultimately generating plasticizer-containing wastewater recovery products.

[0068] Step S4: Obtain the corresponding plasticizer purity and waste liquid impurity content from the plasticizer-containing waste liquid recovery products, and perform reuse assessment and calculation on the plasticizer-containing waste liquid recovery products based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the products; perform product reuse analysis on the corresponding plasticizer-containing waste liquid recovery products based on the plasticizer recycling and reuse probability of the products to generate a plasticizer-containing waste liquid recycling and reuse decision.

[0069] In this embodiment of the invention, after obtaining the recycled product of plasticizer-containing waste liquid, the purity of the plasticizer and the content of impurities in the waste liquid are tested. Gas chromatography-mass spectrometry or other analytical instruments are used to perform detailed quality control on the recycled product, measuring the purity of the plasticizer and the composition of residual impurities in the waste liquid. Higher plasticizer purity indicates higher recycling efficiency, while the content of impurities in the waste liquid affects the reuse value of the plasticizer and the quality of the product. Based on the measured plasticizer purity and waste liquid impurity content, the reuse of the recycled product is evaluated. This evaluation predicts the probability of reuse by establishing a recycling and reuse model and combining it with the actual product properties. This model analyzes the stability and effectiveness of the recycled product under different usage scenarios through experimental data and theoretical calculations. Based on the reuse probability of the product, further reuse analysis is conducted on the recycled waste liquid. This analysis helps determine whether the recycled product can be reused in production or whether further refining and purification treatment is required, ultimately leading to a decision on the recycling and reuse of plasticizer-containing waste liquid.

[0070] Furthermore, step S1 includes the following steps:

[0071] Step S11: Install, debug, and calibrate the corresponding gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry at each location node of the plasticizer-containing waste liquid generation source;

[0072] Step S12: Use gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry to monitor the type, concentration, and plasma concentration of the plasticizer in the plasticizer-containing waste liquid in real time, so as to generate a monitoring dataset of the plasticizer-containing waste liquid components.

[0073] Step S13: Place the corresponding plasticizer-containing waste liquid into a distillation tower to simulate the distillation and recovery operation, so as to generate the plasticizer-containing waste liquid distillation and recovery process;

[0074] Step S14: Real-time monitoring of process parameters of plasticizer-containing waste liquid distillation and recovery process is carried out using various sensors to monitor the temperature, pressure, flow rate and pH value corresponding to the distillation and recovery process in real time, and to obtain waste liquid recovery reaction dataset.

[0075] As an embodiment of the present invention, reference is made to... Figure 2 As shown, Figure 1 A detailed flowchart of step S1 is shown below. In this embodiment, step S1 includes the following steps:

[0076] Step S11: Install, debug, and calibrate the corresponding gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry at each location node of the plasticizer-containing waste liquid generation source;

[0077] In this embodiment of the invention, by installing and debugging a gas chromatography-mass spectrometry (GC-MS) instrument or an inductively coupled plasma mass spectrometer (ICP-MS) instrument at various locations at the waste liquid generation source, it is necessary to ensure that the equipment has high sensitivity, accuracy, and good real-time detection performance. First, at key nodes in the waste liquid flow path, such as waste liquid generation pipelines and storage container inlets and outlets, the GC-MS instrument or ICP-MS instrument is precisely installed and connected through appropriate interfaces to enable real-time detection of various plasticizer components in the waste liquid. During the installation process, electrical connections, gas channel connections, and other operations are strictly performed in accordance with the instrument operation manual to ensure that the instrument is in normal working condition. The debugging process includes ensuring that the equipment can stably acquire waste liquid samples and perform analysis. The instrument needs to be calibrated to ensure that its accuracy and sensitivity meet the real-time monitoring requirements when detecting plasticizer-like chemical substances. The calibration method of the instrument can be compared and calibrated with standard substances to ensure the reliability of the equipment data.

[0078] Step S12: Use gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry to monitor the type, concentration, and plasma concentration of the plasticizer in the plasticizer-containing waste liquid in real time, so as to generate a monitoring dataset of the plasticizer-containing waste liquid components.

[0079] In this embodiment of the invention, real-time monitoring of plasticizer-containing waste liquid is performed using gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS). The types, concentrations, and impurity components of the plasticizers in the waste liquid are collected. When using GC-MS, the waste liquid sample is first injected into the chromatographic column using a suitable injection device. The plasticizer components enter the column with the gas flow for separation. Then, mass spectrometry analysis is used to identify and quantify each separated component, obtaining data on the types and concentrations of plasticizers. When using ICP-MS, the waste liquid sample is converted into a gaseous form using a vaporization device, and then excited and ionized by inductively coupled plasma. The ionized sample enters the mass spectrometer for qualitative and quantitative analysis of elements and compounds. Through this process, the types of plasticizers, mainly including phthalates and phosphates, are monitored in real time, and the concentrations and contents of impurity components are recorded simultaneously, ultimately generating a dataset of plasticizer-containing waste liquid component monitoring.

[0080] Step S13: Place the corresponding plasticizer-containing waste liquid into a distillation tower to simulate the distillation and recovery operation, so as to generate the plasticizer-containing waste liquid distillation and recovery process;

[0081] In this embodiment of the invention, the monitored plasticizer-containing waste liquid is transferred to a distillation tower for distillation recovery simulation. In specific operation, a suitable distillation tower model and configuration are first selected according to the characteristics of the waste liquid components. The distillation tower needs to have sufficient fractionation effect to separate different components in the waste liquid, especially plasticizers. The distillation tower is equipped with multiple heaters, condensers and fractionation sections. The heating system is started to heat the waste liquid to a suitable distillation temperature, so that the plasticizers and other volatile components in the waste liquid evaporate and rise, and are condensed into vapor by the condenser at the top of the tower, and then converted into liquid by the condenser tube for collection. The entire distillation process needs to be controlled by a precise temperature control system to ensure that the plasticizers can be effectively recovered, avoid thermal decomposition or loss, reduce energy consumption and resource waste, and finally generate the plasticizer-containing waste liquid distillation recovery process.

[0082] Step S14: Real-time monitoring of process parameters of plasticizer-containing waste liquid distillation and recovery process is carried out using various sensors to monitor the temperature, pressure, flow rate and pH value corresponding to the distillation and recovery process in real time, and to obtain waste liquid recovery reaction dataset.

[0083] In this embodiment of the invention, various sensors are used for real-time monitoring during the distillation recovery process. Specifically, temperature sensors, pressure sensors, flow meters, and pH sensors are installed in the distillation column to acquire key operating parameters in real time. Temperature sensors should be distributed at different heights within the column to ensure precise temperature control in different distillation sections, avoiding excessively high or low temperatures that could affect the recovery effect. Pressure sensors monitor pressure changes within the column to ensure the pressure remains within a safe range, preventing damage to the equipment due to excessive pressure. Flow meters monitor the flow rates of reflux liquid and waste gas to ensure flow balance during distillation, avoiding insufficient or excessive reflux. pH sensors monitor the acidity or alkalinity of the waste liquid, especially the acid-base changes of plasticizers during distillation. Through data acquisition from these sensors, a waste liquid recovery reaction dataset is generated in real time, allowing for fine-tuning of various operating parameters in the distillation process to ensure optimal recovery results, ultimately yielding the waste liquid recovery reaction dataset.

[0084] Furthermore, the plasticizers mentioned in step S12 are specifically phthalates and phosphates.

[0085] Furthermore, step S2 includes the following steps:

[0086] Step S21: Transmit the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to the data processing center in real time via wireless transmission;

[0087] In this embodiment of the invention, the composition of plasticizer-containing waste liquid and waste liquid recovery reaction data are monitored in real time by a sensor device. This data is transmitted to a remote data processing center via a wireless transmission system (such as Wi-Fi, Zigbee, Bluetooth, 5G, etc.). The data collected by the sensor includes physicochemical parameters such as pH value, solubility, plasticizer concentration, temperature, and reaction rate of the waste liquid. The data is packaged and encrypted by a wireless module to ensure the security and confidentiality of data transmission. The wireless transmission system must ensure low latency and high reliability to achieve real-time transmission and prevent data loss or delay. After the wireless transmission is completed, the data is stored in the cloud server or local database of the data processing center.

[0088] Step S22: Use the data processing center to merge and store the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recovery reaction dataset into the same dataset, and perform data cleaning to remove environmental noise, equipment noise, outliers and duplicate data to obtain a high-quality dataset of plasticizer-containing waste liquid recovery.

[0089] In this embodiment of the invention, after receiving the transmitted data, the data processing center first merges the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recovery reaction dataset into a complete dataset through a unified database management system. To ensure the accuracy and integrity of the data, data cleaning technology is used for processing. The identification and removal of environmental noise and equipment noise are completed through preset filters. The filters remove abnormal fluctuation values ​​according to the standard fluctuation range of parameters and sampling frequency. The detection of abnormal values ​​adopts the Z-score or IQR (interquartile range) method to remove abnormal data points that exceed the set threshold. In order to remove duplicate data, hash algorithms or database deduplication operations can be used to ensure the uniqueness of each data. After this series of cleaning operations, the high-quality dataset obtained has higher reliability, and finally a high-quality dataset for plasticizer-containing waste liquid recovery is obtained.

[0090] Step S23: Normalize the high-quality dataset of plasticizer-containing waste liquid recycling to unify the plasticizer-containing components and recycling reaction parameters of different magnitudes to the same scale, and obtain the normalized dataset of plasticizer-containing waste liquid recycling.

[0091] In this embodiment of the invention, in order to eliminate the impact of differences in the magnitude of different parameters on the subsequent analysis model, a normalization method is used to process the high-quality dataset. Commonly used normalization methods include min-max scaling and Z-score standardization. In specific operation, the data value of each variable is transformed into a value between 0 and 1 through a formula: Normalized value = X - min(X) / max(X) - min(X), where X represents the original data value, and min(X) and max(X) are the minimum and maximum values ​​of the variable, respectively. The normalized dataset ensures that the scale of all parameters is consistent, so that they will no longer be biased due to different magnitudes in the subsequent model training and prediction process, and finally a normalized dataset for plasticizer-containing waste liquid recycling is obtained.

[0092] Step S24: Perform time-series synchronization processing on the normalized dataset of plasticizer-containing waste liquid recycling to obtain a large dataset of plasticizer-containing waste liquid recycling within the same time series.

[0093] In this embodiment of the invention, by aligning the timestamps of various data sources, it is ensured that data from different sensors can be compared and analyzed under a unified time dimension. First, based on the sampling frequency and timestamp of each sensor, interpolation algorithms (such as linear interpolation or spline interpolation) are used to synchronize data at different time steps. If data is missing at certain time points, the nearest neighbor or interpolation method can be used to fill the missing values. After synchronization, the parameters measured by various sensors will be arranged under a unified time step, and the time range of all data will be aligned to the same time series, ensuring the consistency and comparability of data in subsequent analysis, and finally obtaining a large dataset of plasticizer-containing waste liquid recovery under the same time series.

[0094] Step S25: Perform time-series segmentation on the large dataset of plasticizer-containing waste liquid recycling within the same time range to obtain the corresponding dataset of plasticizer-containing waste liquid recycling treatment under each time segment.

[0095] In this embodiment of the invention, the synchronized time-series dataset is divided into time periods. First, based on the requirements of the processing target, such as changes in reaction rate or temperature, an appropriate time window is selected. For example, each hour or each minute can be set as a time period. The sliding window algorithm is used to segment the time-series data. For each time period, the data processing center extracts the relevant data within that time period and stores it as an independent subset dataset to facilitate subsequent model training and analysis. The segmented dataset can help analysts discover the patterns, trends, and changes in the plasticizer waste liquid recycling process in different time periods. The dataset is not only processed synchronously according to time, but also allows for in-depth personalized analysis for different recycling stages, ultimately yielding the corresponding plasticizer-containing waste liquid recycling dataset for each time segment.

[0096] Furthermore, step S3 includes the following steps:

[0097] Step S31: Design the corresponding plasticizer recovery distillation constraints through the distillation column design, including distillation temperature constraints, extractant type constraints, and extractant dosage constraints;

[0098] In this embodiment of the invention, by designing the plasticizer-containing recovery distillation process, the operating parameters of the distillation column must first be strictly designed and constrained. The temperature setting of the distillation column is one of the key factors. The temperature needs to be adjusted according to the boiling point and volatility characteristics of the plasticizer. For example, if the boiling point of the plasticizer is low, the operating temperature of the distillation column can be set slightly lower than the boiling point of the plasticizer to avoid premature volatilization and ensure effective recovery of the plasticizer. At the same time, the selection of a suitable extractant is crucial. It is necessary to select a chemical substance that can efficiently dissolve the plasticizer, such as a specific organic solvent or a composite extractant, to ensure good selectivity during the distillation process. The amount of extractant used is also a parameter that needs to be constrained. It should be ensured that the amount is sufficient and not excessive, which would lead to unstable material flow inside the distillation column. The selection and amount of extractant will directly affect the extraction efficiency and the operating efficiency of the distillation column during the recovery process. Finally, the constraints of plasticizer-containing recovery distillation are obtained, including distillation temperature constraints, extractant type constraints, and extractant amount constraints.

[0099] Step S32: Based on the plasticizer-containing waste liquid recovery and treatment dataset under each time segment, evaluate the constraint recovery efficiency to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition.

[0100] In this embodiment of the invention, when recovering plasticizer-containing waste liquid in each time period, the recovery efficiency needs to be evaluated in conjunction with distillation constraints (such as temperature, extractant type, dosage, etc.). Through a real-time monitoring and data recording system, the recovery efficiency during the distillation process is tracked, and the impact of each distillation constraint on the recovery effect is evaluated. For example, when the temperature is set to a higher value, the plasticizer recovery efficiency increases, but the energy consumption is also greater. Therefore, it is necessary to comprehensively consider the balance between efficiency and energy consumption. The dataset for each time segment should include temperature fluctuations in the distillation column, changes in extractant concentration, product recovery rate, etc. Through data analysis tools (such as regression analysis or machine learning models), the recovery efficiency under different constraints is evaluated, the optimal operating parameters are found, and finally the plasticizer-containing recovery efficiency corresponding to each distillation constraint is obtained.

[0101] Step S33: Determine the corresponding combination of plasticizer recovery constraints to maximize the recovery efficiency of plasticizers under each distillation constraint;

[0102] In this embodiment of the invention, based on the recovery efficiency quantified under different distillation constraints, the next step is to maximize the combination of recovery efficiencies. This process requires finding the optimal combination of parameters under various constraints (including the temperature range of the distillation column, the type and amount of extractant, etc.). For example, through multiple experiments or simulations, the combination of different temperatures and extractant amounts is analyzed, and the combination that maximizes the recovery efficiency is selected. When determining the constraint combination that maximizes the recovery efficiency, the continuity of production and cost-effectiveness must also be considered to avoid excessive energy consumption or excessive waste of raw materials. Based on the principle of maximizing recovery efficiency, the economic efficiency and sustainability of the entire process are ensured, and finally, the combination of constraints that maximize the recovery of plasticizers is obtained.

[0103] Step S34: Distill and recover the corresponding plasticizer-containing waste liquid according to the plasticizer recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery product.

[0104] In this embodiment of the invention, plasticizer-containing waste liquid is distilled and recovered by maximizing the combination of previously determined recovery constraints. At this time, the operating conditions in the distillation column (including temperature, pressure, flow rate, type and amount of extractant, etc.) will be adjusted according to the optimal combination. By adjusting the operating parameters of the distillation column, the efficient recovery of plasticizer is ensured and interference from non-target substances is avoided. In this process, the operating conditions in the distillation column need to be precisely controlled. For example, the distillation process is monitored by real-time temperature sensors and flow meters to ensure that the temperature, extractant concentration, etc. are stable within the preset range. The recovered waste liquid product is cooled by a condenser. The recovered plasticizer can be reused or further processed to ensure that the recovery process meets environmental protection requirements. Finally, the plasticizer-containing waste liquid recovery product is generated.

[0105] Furthermore, step S32 includes the following steps:

[0106] Step S321: Determine the corresponding maximum and minimum limiting distillation temperatures based on the distillation temperature constraints;

[0107] In this embodiment of the invention, during the recycling and treatment of plasticizer-containing waste liquid, temperature constraints for the distillation process are first set based on the component characteristics and treatment objectives of the waste liquid. To ensure that the distillation process of the waste liquid can effectively separate the plasticizer and its related components, the boiling point range of each component in the waste liquid is first determined. Based on experimental data and combined with the evaporation characteristics of the plasticizer, a maximum limiting distillation temperature (i.e., the highest operating temperature) and a minimum limiting distillation temperature (i.e., the lowest operating temperature) are set. The maximum limiting distillation temperature is usually set as the upper limit of the boiling point of the plasticizer, while the minimum limiting distillation temperature is usually set as the lower limit of the boiling point of the plasticizer. During operation, temperature control equipment (such as a precision temperature controller or an automatic temperature-controlled distillation device) controls the process according to these temperature ranges to ensure that the temperature during the distillation process does not exceed or falls below the set maximum and minimum limiting temperatures. Finally, the maximum limiting distillation temperature and the minimum limiting distillation temperature are determined.

[0108] Step S322: Determine the corresponding plasticizer-containing recovery extraction reaction factor based on the extractant type constraint;

[0109] In this embodiment of the invention, a suitable extraction method for plasticizer recovery is selected based on the type of extractant. In the experiment, a suitable extractant is first screened based on the chemical properties of the plasticizer in the waste liquid (such as polarity, molecular weight, solubility, etc.). For example, if the plasticizer in the waste liquid has strong polarity, a solvent with strong polarity can be selected as the extractant. Then, the extraction efficiency of different extractants is determined through experimental testing, and the recovery extraction reaction factor corresponding to each extractant is derived by combining theoretical calculations. This factor reflects the solubility of the extractant in the plasticizer and its extraction effect. Its accuracy is usually verified by a series of extraction experiments, gas chromatography analysis, and mass spectrometry analysis. Extractants with higher reaction factors recover plasticizers more effectively, while lower reaction factors indicate that the extractant is less effective. Through experimental verification and data calculation, the extraction reaction factor required for each extractant to recover plasticizers in the waste liquid is determined, and finally, the extraction reaction factor for plasticizer recovery is obtained.

[0110] Step S323: Determine the maximum and minimum extraction amounts of plasticizer-containing material based on the extractant dosage constraints;

[0111] In this embodiment of the invention, the effect of different extractant dosages on plasticizer recovery efficiency is determined. By setting different extractant dosages and conducting multiple extraction experiments, the recovery rate of plasticizer in each experiment is recorded. Based on the experimental data, a curve showing the relationship between extractant dosage and recovery rate is plotted. The extractant dosage at which the recovery efficiency is highest is determined based on this curve. The maximum dosage refers to the dosage at which the extraction efficiency reaches or approaches the maximum value, while the minimum dosage refers to the minimum extraction dose to ensure that the recovery effect reaches the expected value. In operation, the amount of extractant used each time is controlled by precise metering and dispensing equipment (such as automatic titration device, metering pump) to ensure that it is within the minimum and maximum limits, thereby avoiding resource waste caused by excessive use or poor recovery effect caused by insufficient use. Finally, the maximum and minimum extraction dosages for plasticizer recovery are obtained.

[0112] Step S324: Based on the maximum and minimum limiting distillation temperatures, the reaction factor for plasticizer recovery extraction, the maximum and minimum amount of plasticizer recovery extraction, the plasticizer recovery efficiency calculation formula is used to evaluate the constrained recovery efficiency of the plasticizer-containing waste liquid recovery treatment dataset for each time segment, so as to obtain the plasticizer recovery efficiency under each distillation constraint condition.

[0113] In this embodiment of the invention, a suitable distillation recovery efficiency calculation formula is constructed by combining the minimum limiting distillation temperature, the maximum limiting distillation temperature, the minimum amount of plasticizer-containing recovery extractant, the maximum amount of plasticizer-containing recovery extractant, distillation temperature variation parameters, extractant dosage variation parameters, the reaction intensity between plasticizer and extractant, distillation temperature control influence parameters, the optimal operating temperature for distillation recovery, distillation temperature inhibition parameters, plasticizer-containing recovery extractant reaction factors, and related parameters. This formula is used to quantify the calculation and obtain the corresponding recovery efficiency, ultimately yielding the plasticizer-containing recovery efficiency under various distillation constraints.

[0114] Furthermore, the formula for calculating the distillation recovery efficiency in step S324 is as follows:

[0115]

[0116] In the formula, ε d For plasticizer recovery efficiency, T min To minimize the distillation temperature, T max To limit the distillation temperature to the maximum extent, M min For the minimum amount of plasticizer recovery extraction, M max The maximum extraction dosage for plasticizer recovery is given by T, where T is the distillation temperature variation parameter, m is the extractant dosage variation parameter, and D is the extractant dosage variation parameter. e(T) represents the reaction strength between the plasticizer and extractant at distillation temperature T, and α2 is the parameter affecting distillation temperature control. opt The optimal operating temperature for distillation recovery is given by β2, which is the parameter for inhibiting the effect of distillation temperature, and ρ is the extraction reaction factor for plasticizer recovery. This is a correction factor for the recovery efficiency of plasticizers.

[0117] This invention, through the use of a specific mathematical model and verification, derives a distillation recovery efficiency calculation formula. This formula is used to evaluate the constrained recovery efficiency of plasticizer-containing wastewater recovery datasets at various time segments. By considering variations in distillation temperature and extractant dosage, the formula comprehensively analyzes the impact of multiple factors on recovery efficiency. Optimizing distillation temperature and extractant dosage helps maximize plasticizer recovery efficiency, reduce energy waste, and improve overall recovery performance. The temperature parameter in the formula limits the distillation temperature range, ensuring that the distillation operation is carried out within the effective temperature range, thereby avoiding reduced reaction efficiency or plasticizer loss due to excessively high or low temperatures. In particular, the temperature control parameter considers the significant impact of the optimal operating temperature on recovery efficiency, ensuring that the best recovery effect is achieved at the ideal temperature. The formula uses D... e (T) reflects the reaction intensity between distillation temperature and plasticizer and extractant, indicating the effect of temperature change on reaction kinetics, expressed as an exponential function. The effect of temperature on reaction efficiency can be precisely controlled, especially near the optimal operating temperature, where the reaction intensity is maximized, thereby improving recovery efficiency. The formula demonstrates the effect of extractant dosage on recovery efficiency by varying the extractant content. Specifically, through… This step allows for optimized control of different extractant dosages, avoiding resource waste or decreased recovery efficiency caused by excessive or insufficient extractant use. This ensures reasonable optimization of extractant usage, guaranteeing both high-efficiency recovery and cost reduction. The formula comprehensively considers multiple factors (such as temperature range, extractant dosage range, and reaction intensity), enabling precise assessment and adjustment of recovery efficiency through comprehensive control of these factors. In complex recovery processes involving numerous constraints and influencing factors, this multi-factor calculation method provides more accurate decision support for practical operations. Furthermore, the introduction of a correction coefficient in the formula provides flexibility, allowing for appropriate adjustments to the recovery efficiency to accommodate deviations in different experimental conditions or actual operations. This correction coefficient makes the model applicable not only to ideal conditions but also to practical applications, thereby improving the adaptability and accuracy of the calculation formula. In summary, this formula fully considers the recovery efficiency ε of plasticizers. d Minimum limiting distillation temperature T min Maximum limiting distillation temperature T maxMinimum dosage M for plasticizer recovery and extraction min Maximum usage M for plasticizer recovery and extraction max Distillation temperature variation parameter T, extractant dosage variation parameter m, and the corresponding reaction strength D between the plasticizer and extractant at distillation temperature T. e (T), α2, a parameter affecting distillation temperature control, and the optimal operating temperature for distillation recovery, T. opt Distillation temperature inhibition parameter β2, plasticizer recovery extraction reaction factor ρ, and correction coefficient for plasticizer recovery efficiency. Based on the plasticizer recovery efficiency ε d The interrelationships between the above parameters constitute a functional relationship:

[0118]

[0119] This formula enables a constrained recovery efficiency evaluation process for plasticizer-containing wastewater recovery and treatment datasets at various time segments. Simultaneously, it utilizes a correction coefficient for the plasticizer-containing wastewater recovery efficiency. The introduction of this factor allows for adjustments based on errors that occur during the calculation process, thereby improving the accuracy and applicability of the distillation recovery efficiency calculation formula.

[0120] Furthermore, step S4 includes the following steps:

[0121] Step S41: Obtain the corresponding plasticizer purity and waste liquid impurity content through the recycled products of plasticizer-containing waste liquid;

[0122] In this embodiment of the invention, samples of the recycled waste liquid containing plasticizers are taken, and the purity of the plasticizers in the recycled products is determined using specialized analytical instruments. Commonly used analytical methods include gas chromatography (GC) or high-performance liquid chromatography (HPLC). These instruments can accurately separate and quantify the plasticizer components in the recycled products. Through sample analysis, the concentration data of the plasticizers can be obtained, and their purity can be calculated. In addition, the impurity content in the waste liquid needs to be determined by spectroscopic analysis, ICP (inductively coupled plasma atomic absorption spectrometry), or other suitable methods for detecting heavy metals and organic impurities in waste liquids. The analysis results can provide data on the impurity content in the plasticizer recycled products, and finally, the purity of the plasticizers and the impurity content of the waste liquid are obtained.

[0123] Step S42: Obtain the viscosity and boiling point of the corresponding plasticizer product from the recycled plasticizer-containing waste liquid;

[0124] In this embodiment of the invention, the corresponding plasticizer-containing waste liquid recovery products are tested using a rotational viscometer (such as a Brookfield viscometer) or a capillary viscometer. These instruments can accurately measure the rheological properties of the plasticizer products, thereby obtaining the viscosity value of the recovered plasticizer. In order to determine the boiling point, the recovered products need to be heated through a distillation device, and the temperature at which the products begin to boil is recorded. By measuring the viscosity and boiling point of the plasticizer products, the quality assessment of the recovered products can be further improved, and finally the viscosity and boiling point of the plasticizer products are obtained.

[0125] Step S43: Based on the plasticizer purity, waste liquid impurity content, plasticizer product viscosity and plasticizer product boiling point, the reuse evaluation calculation formula of the recycled product is used to evaluate and calculate the reuse probability of the plasticizer in the recycled product.

[0126] In this embodiment of the invention, a suitable evaluation and calculation formula for the reuse of recycled products is constructed by combining plasticizer purity, corresponding plasticizer concentration change parameters, initial plasticizer concentration, plasticizer concentration change weighting coefficient, waste liquid impurity content, impurity content weighting coefficient, plasticizer product viscosity, plasticizer product boiling point, and related parameters. This formula is used to evaluate and calculate the reuse probability of the recycled products, quantifying the reuse probability. The purity and impurity content of the plasticizer directly affect the success probability of reuse, while viscosity and boiling point reflect the adaptability of the physical properties of the plasticizer product to reuse. Finally, the product plasticizer recycling and reuse probability is obtained.

[0127] Step S44: Based on the plasticizer recycling and reuse probability of the product, perform product reuse analysis on the corresponding plasticizer-containing waste liquid recovery product. If the plasticizer recycling and reuse probability of the product reaches 95% or more, it is recommended to reuse the plasticizer-containing waste liquid recovery product. Otherwise, it is recommended to further recycle and purify the product to generate a decision on plasticizer-containing waste liquid recycling and reuse.

[0128] In this embodiment of the invention, the recycled products are analyzed and decided based on the previously obtained recycling probability. If the calculated recycling probability of plasticizer reaches 95% or more, the quality of the recycled product is considered to meet the requirements and can be directly reused. Specifically, the recycled plasticizer can be mixed with raw materials and put back into the production line, or it can be used for other purposes according to the actual needs of the enterprise. If the reuse probability does not reach 95%, the recycled product needs to be further purified. Commonly used purification methods include solvent extraction, distillation, and membrane filtration. These methods can effectively remove impurities from the recycled product and improve the purity of the plasticizer. After completing the recycling and reuse analysis, a decision is made on whether it can be reused or whether further processing is required, and finally, a decision on the recycling and reuse of plasticizer-containing waste liquid is generated.

[0129] Furthermore, the specific calculation formula for the reuse assessment of recycled products mentioned in step S43 is as follows:

[0130]

[0131] In the formula, P r C represents the probability of recycling and reusing the plasticizer in the product. p Let x represent the plasticizer purity, x be the plasticizer concentration variation parameter in the recycled product containing plasticizer wastewater, x0 be the initial plasticizer concentration, α1 be the weighting coefficient for plasticizer concentration variation, and C be the plasticizer concentration variation parameter. i β1 is the impurity content of the waste liquid, η is the impurity content weighting coefficient, and T is the viscosity of the plasticizer product. b ξ represents the boiling point of the plasticizer product, and ξ is a correction coefficient for the probability of recycling and reusing the plasticizer product.

[0132] This invention, through the use of a specific mathematical model and verification, derives a calculation formula for evaluating the reuse of recycled products. This formula is used to assess the reuse of recycled products from plasticizer-containing wastewater. The purity of the plasticizer in this formula directly affects the quality of the recycled plasticizer. Higher purity results in performance closer to the original plasticizer, thus increasing its reuse value. Introducing a purity parameter accurately reflects the effectiveness of the recycled plasticizer, aiding in decision-making regarding reuse. The formula also considers the impurity content of the wastewater. High impurity content negatively impacts plasticizer performance, reducing its reuse value. By introducing a coefficient for impurity content, the formula quantifies the inhibitory effect of impurities on the reuse of recycled plasticizers, allowing for reasonable consideration of impurities during reuse evaluation. The plasticizer concentration variation parameter and its weight capture the characteristics of plasticizer concentration changes during the recycling process. For example, large variations in plasticizer concentration indicate instability or inefficiency in the recycling process. Therefore, this parameter can be used to optimize plasticizer reuse strategies during recycling. Viscosity and boiling point are important physicochemical properties of plasticizers, directly affecting their application performance. For example, excessively high viscosity may increase processing difficulty, while excessively low boiling points can lead to plasticizer volatilization losses. The formula considers these factors, enabling a reasonable assessment of the reusability of plasticizers and guiding adjustments during the recycling process to improve product quality. Furthermore, the introduction of a correction coefficient in the formula provides an additional adjustment factor for fine-tuning the probability of recycling and reuse. This coefficient can be adjusted based on empirical data and real-world conditions during actual operation, thus more accurately reflecting the reuse potential of recycled plasticizers. By integrating these factors into the calculation formula for the reuse assessment of recycled products, the reuse potential of recycled plasticizer products can be comprehensively quantified. The integral form of the formula reflects the reuse probability of plasticizers across different concentration ranges, considering the influence of concentration, purity, impurities, viscosity, boiling point, and other factors, making the reuse assessment results more accurate and scientific. In summary, this formula fully considers the product plasticizer recycling and reuse probability P. r Plasticizer purity C p The parameters for plasticizer concentration change (x) in the recycled plasticizer wastewater, the initial plasticizer concentration (x0), the weighting coefficient for plasticizer concentration change (α1), and the impurity content (C) of the wastewater are: i Impurity content weighting coefficient β1, plasticizer product viscosity η, plasticizer product boiling point T b The correction coefficient ξ for the probability of recycling and reusing plasticizers in the product is based on the probability P of recycling and reusing plasticizers in the product. r The interrelationships between the above parameters constitute a functional relationship. This formula enables the evaluation and calculation of the reuse of recycled products from plasticizer-containing waste liquid. Furthermore, by introducing a correction coefficient ξ for the probability of plasticizer recycling and reuse, adjustments can be made based on errors that occur during the calculation process, thereby improving the accuracy and applicability of the formula for evaluating the reuse of recycled products.

[0133] Furthermore, the present invention also provides a system for the recycling, treatment, and reuse analysis of plasticizer-containing waste liquid, used to perform the method for the recycling, treatment, and reuse analysis of plasticizer-containing waste liquid as described above. The system includes:

[0134] The real-time monitoring module for the waste liquid treatment process is used to install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various points along the source of plasticizer-containing waste liquid. These instruments monitor the types, concentrations, and ion concentrations of impurities in the plasticizer-containing waste liquid in real time, generating a dataset of plasticizer-containing waste liquid composition. The corresponding plasticizer-containing waste liquid is then placed in a distillation column for distillation and recovery. Various sensors monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time, thus obtaining a waste liquid recovery reaction dataset.

[0135] The waste liquid recycling data preprocessing module is used to transmit the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recycling reaction dataset to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling processing dataset for each time segment.

[0136] The recycling constraint maximization module is used to design corresponding plasticizer-containing recovery distillation constraints through distillation towers, and to evaluate the constraint recovery efficiency of plasticizer-containing waste liquid recovery treatment datasets at each time segment based on the plasticizer-containing recovery distillation constraints, so as to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery products;

[0137] The recycled product reuse assessment module is used to obtain the corresponding plasticizer purity and waste liquid impurity content from the recycled products containing plasticizer waste liquid, and to perform reuse assessment and calculation on the recycled products containing plasticizer waste liquid based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the product; based on the plasticizer recycling and reuse probability of the product, the corresponding recycled products containing plasticizer waste liquid are analyzed for reuse to generate a decision on the recycling and reuse of plasticizer waste liquid.

[0138] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0139] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for the recovery, treatment, and reuse of plasticizer-containing waste liquid, characterized in that, Includes the following steps: Step S1: Install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various locations along the plasticizer-containing wastewater source. Use these instruments to monitor the types, concentrations, and impurities of plasticizers in the wastewater in real time to generate a plasticizer-containing wastewater component monitoring dataset. Place the corresponding plasticizer-containing wastewater into a distillation column for distillation and recovery. Use various sensors to monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time to obtain a wastewater recovery reaction dataset. Step S2: The monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset are transmitted to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling treatment dataset for each time segment. Step S3: Design the corresponding plasticizer-containing recovery distillation constraints through the distillation column, and evaluate the constraint recovery efficiency of the plasticizer-containing waste liquid recovery treatment dataset for each time segment based on the plasticizer-containing recovery distillation constraints to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery product; wherein, step S3 includes the following steps: Step S31: Design the corresponding plasticizer recovery distillation constraints through the distillation column, including distillation temperature constraints, extractant type constraints, and extractant dosage constraints. The extractant type constraint is a chemical substance that can efficiently dissolve plasticizers, including organic solvents or composite extractants. The extractant dosage constraint is not excessive. Step S32: Based on the plasticizer-containing wastewater recovery distillation constraint, evaluate the constraint recovery efficiency of the dataset for each time segment to obtain the plasticizer recovery efficiency under each distillation constraint condition; wherein, step S32 includes the following steps: Step S321: Determine the corresponding maximum and minimum limiting distillation temperatures based on the distillation temperature constraints, wherein the maximum limiting distillation temperature is set as the upper limit of the boiling point of the plasticizer, and the minimum limiting distillation temperature is set as the lower limit of the boiling point of the plasticizer. Step S322: Determine the corresponding plasticizer recovery extraction reaction factor based on the extractant type constraint, screen the corresponding extractants according to the chemical properties of the plasticizer, and experimentally test to determine the extraction efficiency of different extractants. Combine theoretical calculations to derive the plasticizer recovery extraction reaction factor corresponding to each extractant. Step S323: Determine the maximum and minimum extraction amounts of extractant for plasticizer recovery based on the extractant dosage constraints. Specifically, set different extractant dosages according to the extractant dosage constraints and conduct multiple extraction experiments. Record the plasticizer recovery rate in each experiment, plot the relationship curve between extractant dosage and recovery rate, and determine the extractant dosage at which the recovery rate is highest as the maximum extraction amount of plasticizer recovery, and the minimum extractant dosage at which the recovery rate reaches the expected value as the minimum extraction amount of plasticizer recovery. Step S324: Based on the maximum and minimum limiting distillation temperatures, the reaction factor for plasticizer recovery extraction, the maximum and minimum amount of plasticizer recovery extraction, and the minimum amount of plasticizer recovery extraction, the plasticizer recovery efficiency is evaluated using the distillation recovery efficiency calculation formula for the plasticizer-containing waste liquid recovery treatment dataset at each time segment, so as to obtain the plasticizer recovery efficiency under each distillation constraint condition; wherein, the distillation recovery efficiency calculation formula is specifically as follows: ； In the formula, For plasticizer recycling efficiency, To minimize the distillation temperature, To limit the distillation temperature to the maximum extent, The minimum dosage for plasticizer recovery and extraction. This is the maximum dosage for plasticizer recovery and extraction. For parameters related to distillation temperature variation, This is a parameter representing the variation in extractant dosage. To distill at the distillation temperature The following corresponds to the reaction strength between the plasticizer and the extractant. The parameters affecting distillation temperature control The optimal operating temperature for distillation recovery. This is a parameter representing the suppression effect of distillation temperature. For plasticizer recovery and extraction reaction factors, This is a correction factor for the recovery efficiency of plasticizers; Step S33: Determine the corresponding combination of plasticizer recovery constraints to maximize the recovery efficiency of plasticizers under each distillation constraint; Step S34: Distill and recover the corresponding plasticizer-containing waste liquid according to the plasticizer recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery product; Step S4: Obtain the corresponding plasticizer purity and waste liquid impurity content from the recycled plasticizer-containing waste liquid products, and perform reuse assessment and calculation on the recycled plasticizer-containing waste liquid products based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the products; perform product reuse analysis on the corresponding recycled plasticizer-containing waste liquid products based on the product plasticizer recycling and reuse probability to generate a plasticizer-containing waste liquid recycling and reuse decision; wherein, step S4 includes the following steps: Step S41: Obtain the corresponding plasticizer purity and waste liquid impurity content through the recycled products of plasticizer-containing waste liquid; Step S42: Obtain the viscosity and boiling point of the corresponding plasticizer product from the recycled plasticizer-containing waste liquid; Step S43: Based on the plasticizer purity, waste liquid impurity content, plasticizer product viscosity, and plasticizer product boiling point, the reuse evaluation calculation formula for recycled products is used to evaluate and calculate the reuse probability of the plasticizer-containing waste liquid, so as to obtain the reuse probability of the product plasticizer; wherein, the specific calculation formula for the reuse evaluation of recycled products is as follows: ； In the formula, To determine the probability of recycling and reusing plasticizers in the product. For plasticizer purity, This refers to the parameter representing the change in plasticizer concentration in the recovered products of plasticizer-containing wastewater. This is the initial concentration of the plasticizer. This is the weighting coefficient for changes in plasticizer concentration. The content of impurities in the waste liquid. This is the weighting coefficient for impurity content. The viscosity of the plasticizer product. The boiling point of the plasticizer product. This is a correction factor for the probability of recycling and reusing plasticizers in the product; Step S44: Based on the plasticizer recycling and reuse probability of the product, perform product reuse analysis on the corresponding plasticizer-containing waste liquid recovery product. If the plasticizer recycling and reuse probability of the product reaches 95% or more, it is recommended to reuse the plasticizer-containing waste liquid recovery product. Otherwise, it is recommended to further recycle and purify the product to generate a decision on plasticizer-containing waste liquid recycling and reuse.

2. The method for recycling, treating, and reusing plasticizer-containing wastewater according to claim 1, characterized in that, Step S1 includes the following steps: Step S11: Install, debug, and calibrate the corresponding gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry at each location node of the plasticizer-containing waste liquid generation source; Step S12: Use gas chromatography-mass spectrometry or inductively coupled plasma mass spectrometry to monitor the type, concentration and impurity components of plasticizer-containing waste liquid in real time to generate a monitoring dataset of plasticizer-containing waste liquid components. Step S13: Place the corresponding plasticizer-containing waste liquid into a distillation tower to simulate the distillation and recovery operation, so as to generate the plasticizer-containing waste liquid distillation and recovery process; Step S14: Real-time monitoring of process parameters of plasticizer-containing waste liquid distillation and recovery process is carried out using various sensors to monitor the temperature, pressure, flow rate and pH value corresponding to the distillation and recovery process in real time, and to obtain waste liquid recovery reaction dataset.

3. The method for recycling, treating, and reusing plasticizer-containing wastewater according to claim 2, characterized in that, The plasticizers mentioned in step S12 are specifically phthalates and phosphates.

4. The method for recycling, treating, and reusing plasticizer-containing wastewater according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Transmit the monitoring dataset of plasticizer-containing waste liquid components and the waste liquid recycling reaction dataset to the data processing center in real time via wireless transmission; Step S22: Use the data processing center to merge and store the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recovery reaction dataset into the same dataset, and perform data cleaning to remove environmental noise, equipment noise, outliers and duplicate data to obtain a high-quality dataset of plasticizer-containing waste liquid recovery. Step S23: Normalize the high-quality dataset of plasticizer-containing waste liquid recycling to unify the plasticizer-containing components and recycling reaction parameters of different magnitudes to the same scale, and obtain the normalized dataset of plasticizer-containing waste liquid recycling. Step S24: Perform time-series synchronization processing on the normalized dataset of plasticizer-containing waste liquid recycling to obtain a large dataset of plasticizer-containing waste liquid recycling within the same time series. Step S25: Perform time-series segmentation on the large dataset of plasticizer-containing waste liquid recycling within the same time range to obtain the corresponding dataset of plasticizer-containing waste liquid recycling treatment under each time segment.

5. A system for the recovery, treatment, and reuse of plasticizer-containing waste liquid, characterized in that, For performing the analysis method for recycling, treating, and reusing plasticizer-containing wastewater as described in claim 1, the system for recycling, treating, and reusing plasticizer-containing wastewater includes: The real-time monitoring module for the waste liquid treatment process is used to install gas chromatography-mass spectrometry (GC-MS) or inductively coupled plasma mass spectrometry (ICP-MS) instruments at various points along the source of plasticizer-containing waste liquid. These instruments monitor the types, concentrations, and impurities of plasticizers in the waste liquid in real time, generating a dataset of plasticizer-containing waste liquid composition monitoring. The corresponding plasticizer-containing waste liquid is then placed in a distillation column for distillation and recovery. Various sensors monitor the temperature, pressure, flow rate, and pH value during the distillation and recovery process in real time, thus obtaining a waste liquid recovery reaction dataset. The waste liquid recycling data preprocessing module is used to transmit the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recycling reaction dataset to the data processing center in real time via wireless transmission. The data processing center then performs fusion and segmentation processing on the plasticizer-containing waste liquid component monitoring dataset and the waste liquid recycling reaction dataset to obtain the corresponding plasticizer-containing waste liquid recycling processing dataset for each time segment. The recycling constraint maximization module is used to design corresponding plasticizer-containing recovery distillation constraints through distillation towers, and to evaluate the constraint recovery efficiency of plasticizer-containing waste liquid recovery treatment datasets at each time segment based on the plasticizer-containing recovery distillation constraints, so as to obtain the plasticizer-containing recovery efficiency under each distillation constraint condition; determine the corresponding plasticizer-containing recovery constraint maximization combination based on the plasticizer-containing recovery efficiency under each distillation constraint condition, and perform distillation recovery treatment on the corresponding plasticizer-containing waste liquid according to the plasticizer-containing recovery constraint maximization combination to generate plasticizer-containing waste liquid recovery products; The recycled product reuse assessment module is used to obtain the corresponding plasticizer purity and waste liquid impurity content from the recycled products containing plasticizer waste liquid, and to perform reuse assessment and calculation on the recycled products containing plasticizer waste liquid based on the plasticizer purity and waste liquid impurity content to obtain the plasticizer recycling and reuse probability of the product; based on the plasticizer recycling and reuse probability of the product, the corresponding recycled products containing plasticizer waste liquid are analyzed for reuse to generate a decision on the recycling and reuse of plasticizer waste liquid.

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