Optimization Method and System for a Low-VOC Environmentally Friendly Polyurethane Foam Anti-Heartburn Agent

Abstract

The present invention discloses an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent, including: performing data preprocessing based on the collected production data matching the VOC emissions, and then establishing a VOC emission inventory database; establishing a life cycle model through the life cycle analysis method and obtaining the sensitivity by using the sensitivity analysis method, and then performing stage optimization by using the multi-objective optimization method according to the sensitivity; converting the VOC emissions into environmental impact indicators by using a preset environmental impact assessment method and optimizing the production process according to the environmental impact indicators, generating a VOC optimization model and deploying the VOC optimization model; inputting the continuously collected real-time production data into the deployed VOC optimization model to obtain the VOC optimization strategy output by the VOC optimization model; and feeding back the VOC optimization strategy to the matching production control system. The present invention can systematically reduce VOC emissions from the perspective of the entire life cycle.

Description

Technical Field

[0001] The present invention relates to the technical field of VOC emission optimization, and particularly to an optimization method and system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent. Background Art

[0002] As a lightweight, soft material with good support and energy absorption properties, polyurethane foam is widely used in automotive seats, household products, building insulation, packaging materials and other fields. At present, in the production process of existing polyurethane foam, an anti-heartburn agent needs to be added to inhibit excessive foaming and heat generation of the polyurethane foam. In the chemical reaction of foam production, due to the high-temperature reaction process of the polymer matrix, the anti-heartburn agent can effectively control the density and uniformity of the foam; however, when the polyurethane foam is in a high-temperature environment or encounters an open flame, it is prone to combustion and release a large amount of harmful gases;

[0003] At present, the existing anti-heartburn agents for polyurethane foam improve the fire resistance of the foam by adding flame retardants, but many flame retardants will gradually release organic compounds (VOCs) during the use and aging of polyurethane foam. When the existing polyurethane foam is prepared or used, attention is often only paid to the performance of the foam, while the VOC emission control in each production stage is ignored, and it is difficult to systematically reduce VOC emissions from the perspective of the whole life cycle, resulting in air pollution and endangering health and the environment.

[0004] Therefore, there is an urgent need for an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent that can systematically reduce VOC emissions from the perspective of the whole life cycle. Summary of the Invention

[0005] Object of the Invention: To overcome the above deficiencies, the object of the present invention is to provide an optimization method and system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent.

[0006] To solve the above technical problems, the present invention provides an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent, including:

[0007] Step S1: According to the collected production data matching VOC emissions, perform data preprocessing, and then establish a VOC emission inventory database;

[0008] Step S2: Establish a life cycle model by the life cycle analysis method and obtain the sensitivity of VOC emissions in each stage of the life cycle by the sensitivity analysis method, and then perform stage optimization by the multi-objective optimization method according to the sensitivity;

[0009] Step S3: Convert the VOC emissions into environmental impact indicators using a preset environmental impact assessment method, optimize the production process according to the environmental impact indicators, generate a VOC optimization model, and deploy the VOC optimization model;

[0010] Step S4: Input the continuously collected real-time production data into the deployed VOC optimization model to obtain the VOC optimization strategy output by the VOC optimization model;

[0011] Step S5: Feed back the VOC optimization strategy to the matching production control system.

[0012] On the one hand, in Step S1, the method includes the following steps:

[0013] Step S11: Collect production data matching the VOC emissions from each stage of the life cycle of the polyurethane foam anti-heartburn agent. The stages of the life cycle include raw material acquisition, production process, use, and waste treatment. The production data includes one or more of raw material components, energy consumption at each stage, emissions, and decomposition emissions at the use and waste stages;

[0014] Step S12: Perform data cleaning and standardization processing on the production data. The data cleaning includes outlier processing and missing value processing;

[0015] Step S13: Perform unit unification processing on the production data.

[0016] On the one hand, in Step S1, the method further includes the following steps:

[0017] Step S14: Calculate the VOC emission factor for each production stage based on the production data after data preprocessing;

[0018] Step S15: Combine the activity data of the raw material acquisition, production process, use stage, and waste treatment stage with all the calculated VOC emission factors to generate a VOC emission inventory database. The VOC emission inventory database includes at least: stage description, VOC emission factor, and activity data.

[0019] On the one hand, in Step S1, the method includes the following steps:

[0020] Step S101: Calculate the VOC emission factor for each production stage using the VOC emission factor calculation formula. The VOC emission factor calculation formula is:

[0021] , where EF is the VOC emission factor, representing the VOC emissions corresponding to unit production output, is the VOC emissions in the production stage or treatment process, is the activity level in the production stage, which is the production volume or consumption volume;

[0022] Step S102: Calculate the VOC emissions of each stage in the life cycle of the polyurethane foam anti-heartburn agent by collecting and calculating the VOC emission factors of each stage and combining the actual activity levels of each stage. The calculation formula is:

[0023] , where is the total VOC emissions of a certain stage in the entire life cycle, is the VOC emission factor of the i-th stage, is the activity level of the i-th stage, and n is the total number of stages in the life cycle;

[0024] Step S103: Establish a VOC emission inventory database based on the calculated VOC emissions of each stage, the description of each stage, and the activity data.

[0025] On the one hand, in step S2, the method includes the following steps:

[0026] Step S21: Establish the VOC emissions in the raw material acquisition stage of the polyurethane foam anti-heartburn agent, where: calculate the VOC emissions in the raw material acquisition stage during mining, transportation, and warehousing;

[0027] Step S22: Establish the VOC emissions in the production process stage of the polyurethane foam anti-heartburn agent, where: calculate the VOC emissions in the production process stage during chemical reactions, heating processes, and raw material mixing production activities;

[0028] Step S23: Establish the VOC emissions in the transportation stage of the polyurethane foam anti-heartburn agent, where: calculate the VOC emissions in the transportation stage during the transportation from the raw material supplier to the production plant and the transportation of the product to the consumer;

[0029] Step S24: Establish the VOC emissions in the use stage of the polyurethane foam anti-heartburn agent, where: calculate the VOC emissions related to the energy consumption, chemical reactions, and release of volatile substances of the product in the use stage;

[0030] Step S25: Establish the VOC emissions in the waste treatment stage of the polyurethane foam anti-heartburn agent, where: calculate the VOC emissions in the waste treatment stage during the recycling, landfill, and incineration treatment of the product;

[0031] Step S26: Construct a life cycle model of the polyurethane foam anti-heartburn agent based on the above raw material acquisition stage, production process stage, transportation stage, use stage, and waste treatment stage.

[0032] On the one hand, in step S2, the method further includes the following steps:

[0033] Step S27: Select the parameters related to VOC emissions in each stage, and the parameters include one or more of the VOC emission factor of the raw material, reaction temperature, reaction time, and transportation emission factor;

[0034] Step S28: Calculate the impact of changes in each parameter on the total VOC emissions, and generate the sensitivity of the parameters related to VOC emissions in each stage to the VOC emissions. The calculation formula is:

[0035] , where is the sensitivity coefficient of the i-th parameter, indicating the response degree of VOC emissions to this parameter, is the partial derivative of the VOC emissions with respect to the change of the i-th parameter, indicating the change rate of VOC emissions when the parameter changes, is the change amount of the i-th parameter, is the total VOC emissions;

[0036] Step S29: According to the sensitivity of each parameter, use the genetic method or the particle swarm optimization method to optimize the parameters of each stage of the polyurethane foam anti-heartburn agent on the premise of meeting the VOC emission standards.

[0037] On the one hand, in step S3, the method includes the following steps:

[0038] Step S31: Use the TRACI method to convert the VOC emissions into ozone generation potential and acidification potential and associate them with air quality and health indicators;

[0039] Step S32: Calculate the ozone generation potential:

[0040] , where, is the ozone generation potential, is the ozone generation factor of VOC emissions, is the VOC emissions;

[0041] Step S33: Calculate the acidification potential:

[0042] , where, is the acidification potential, is the acidification factor of VOC emissions;

[0043] Step S34: Generate air quality and health indicators:

[0044] , where is the impact on air quality and health, is the influence coefficient of VOC on air quality and health;

[0045] Step S35: Generate a comprehensive impact score based on ozone formation potential, acidification potential, and air quality and health indicators:

[0046] , where are the weight coefficients corresponding to ozone formation potential, acidification potential, and air quality and health indicators.

[0047] On the one hand, in step S3, the method further includes the following steps:

[0048] Step S36: Compare the VOC emission factors of each raw material or reaction condition according to the comprehensive impact score, and screen out the raw materials or process conditions with a preset ranking;

[0049] Step S37: On the premise of ensuring the performance remains unchanged, optimize the formulation by reducing the amount of raw materials used and / or introducing low-VOC alternative raw materials, or reduce emissions by lowering process condition parameters or introducing VOC recovery equipment;

[0050] Step S38: After each optimization, dynamically feedback the output of the VOC optimization model into the optimization strategy to further optimize the formulation or process conditions.

[0051] On the one hand, in step S37, the method further includes the following steps:

[0052] Step S371: After each optimization, re-evaluate the optimized VOC emission situation through the VOC optimization model, and calculate the total VOC emissions at each stage of the optimized polyurethane foam anti-heartburn agent;

[0053] Step S372: Readjust the formulation or process conditions according to the VOC optimization strategy to further reduce VOC emissions;

[0054] Step S373: In each iterative optimization process, aim to minimize VOC emissions:

[0055] , where, is the total optimized VOC emissions in each iteration, is the VOC emissions varying with the formulation or process condition X in the i-th stage;

[0056] Step S374: Conduct a preset number of iterations to generate an optimal balance among VOC emissions, production costs, and product performance. The calculation formula is: , where, are the weight coefficients for balancing VOC emissions, costs, and performance, is the production cost, is the anti-heartburn performance index of the product.

[0057] This application also provides an optimization system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent that executes the above-mentioned optimization method, including:

[0058] A data processing module, which is used to perform data preprocessing based on the production data of the polyurethane foam anti-heartburn agent collected and matched with VOC emissions, and then establish a VOC emission inventory database;

[0059] A model establishment module, which is used to establish a life cycle model by the life cycle analysis method and obtain the sensitivity of VOC emissions in each stage of the life cycle by the sensitivity analysis method;

[0060] A model optimization module, which is used to perform stage optimization by the multi-objective optimization method according to the sensitivity; use a preset environmental impact assessment method to convert VOC emissions into environmental impact indicators and optimize the production process according to the environmental impact indicators;

[0061] A model deployment module, which is used to deploy the optimized life cycle model and input the real-time production data of the continuously collected polyurethane foam anti-heartburn agent into the deployed life cycle model;

[0062] An optimization feedback module, which is used to obtain the VOC optimization strategy output by the life cycle model and feedback the VOC optimization strategy to the production control system of the polyurethane foam anti-heartburn agent.

[0063] The above technical solution of this application has the following advantages compared with the prior art:

[0064] 1. Establish a life cycle VOC emission inventory database covering raw material acquisition, production, use, and waste treatment stages, and conduct a systematic analysis of VOC emissions through data preprocessing and normalization processing, so as to achieve precise tracking and control of VOC emissions.

[0065] 2. Introduce life cycle analysis and sensitivity analysis, quantify the impact of different stages and parameters on VOC emissions, and conduct multi-objective optimization based on this. Sensitivity analysis can help identify key parameters, optimize each production link, minimize VOC emissions to the greatest extent, and balance cost and product performance to achieve a more reasonable scheme selection.

[0066] 3. Convert VOC emissions into environmental impact indicators such as ozone generation potential and acidification potential by using the comprehensive environmental impact assessment method, and combine them with air quality and health-related indicators to comprehensively evaluate the environmental benefits of the production process. Based on these evaluation results, optimize the process, which helps to minimize harm to the environment and health and improve environmental performance. Description of the Drawings

[0067] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on the provided accompanying drawings.

[0068] Figure 1 It is a flowchart of an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent provided by an embodiment of the present invention.

[0069] Figure 2 It is a flowchart of a data preprocessing method provided by an embodiment of the present invention.

[0070] Figure 3 It is the first flowchart of a method for establishing a VOC emission inventory database provided by an embodiment of the present invention.

[0071] Figure 4 It is the second flowchart of a method for establishing a VOC emission inventory database provided by an embodiment of the present invention.

[0072] Figure 5 It is a flowchart of a method for establishing a life cycle model provided by an embodiment of the present invention.

[0073] Figure 6 It is a flowchart of a model optimization method provided by an embodiment of the present invention.

[0074] Figure 7 It is a flowchart of an environmental impact assessment method provided by an embodiment of the present invention.

[0075] Figure 8 It is a flowchart of a method for optimizing principles or process conditions provided by an embodiment of the present invention.

[0076] Figure 9 It is a flowchart of a dynamic adjustment method provided by an embodiment of the present invention.

[0077] Figure 10 It is a connection schematic diagram of an optimization system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent provided by an embodiment of the present invention.

[0078] Description of the reference numerals in the specification drawings:

[0079] 101. Data processing module, 102. Model establishment module, 103. Model optimization module, 104. Model deployment module, 105. Optimization feedback module. Detailed implementation manners

[0080] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present invention, and should not be construed as limiting the present invention.

[0081] Referring Figure 1 As shown, in some embodiments, an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent involves the following steps:

[0082] Step S1: According to the production data collected and matched with VOC emissions, perform data preprocessing, and then establish a VOC emission inventory database.

[0083] Among them, the production data matched with VOC emissions are data at each stage of the life cycle of the polyurethane foam anti-heartburn agent, specifically including: in the raw material acquisition stage, collecting data such as the types, sources, energy consumption during transportation, and raw material components of the raw materials; in the production process stage, collecting energy consumption (such as electricity, natural gas, etc.) and emissions (such as CO2, NOx, VOC, etc.) during the production process; in the use stage, collecting the energy efficiency, emissions, and possible volatile organic compound (VOC) emissions of the product during use; in the waste treatment stage, collecting the waste treatment after the end of the product life cycle, such as the energy consumption, emissions, and VOC emissions during the recycling, landfill, or incineration process.

[0084] Specifically, referring Figure 2 As shown, in step S1, the method includes the following steps:

[0085] Step S11: Collect production data matched with VOC emissions from each stage of the life cycle of the polyurethane foam anti-heartburn agent. The stages of the life cycle include one or more of raw material acquisition, production process, use, and waste treatment. The production data includes one or more of raw material components, energy consumption at each stage, emissions, and decomposition emissions during use and waste stages.

[0086] Among them, the raw material components include the chemical composition of the raw materials and their potential for releasing volatile organic compounds (VOCs); the energy consumption at each link includes recording the quantity of energy used at each link (such as electricity, heat energy, fossil fuels, etc.); the emissions include the emissions of gases such as CO2, NOx, SOx, and VOC; the decomposition emissions during use and waste stages include the VOC emissions during use and waste stages calculated according to the properties of the material and environmental conditions.

[0087] Step S12: performing data cleaning and standardization processing on the production data, wherein the data cleaning includes: outlier processing and missing value processing.

[0088] Among them, during data cleaning and standardization, outliers and missing values ​​are removed, and then the data format is unified to ensure data consistency.

[0089] Step S13: performing unit unification processing on the production data.

[0090] Among them, emission data from different sources are converted into unified units.

[0091] refer to Figure 3 and Figure 4 As shown, after the data preprocessing is completed, the method further includes the following steps:

[0092] Step S14: Calculate the VOC emission factor of each production stage based on the production data after data preprocessing.

[0093] Step S15: Combine the activity data of raw material acquisition, production process, use stage and waste treatment stage with all calculated VOC emission factors to generate a VOC emission inventory database, which at least includes: stage description, VOC emission factors and activity data.

[0094] Specifically, the VOC emission factor calculation formula is used to calculate the VOC emission factor for each production stage, and the VOC emission factor calculation formula is: , where EF is the VOC emission factor, which represents the VOC emission per unit of production output. is the VOC emission during the production stage or treatment process, It is the activity level in the production stage, usually the output or consumption; for example, assuming that in the production process of polyurethane foam, 50gVOC will be emitted for every 1kg of foam material produced, thus, the VOC emission factor is: EF is 50gVOC / kg foam material.

[0095] Specifically, the establishment of the VOC emission inventory database is to organize and integrate the VOC emission factors in each production, processing link and each stage of the life cycle to form a systematic database for subsequent analysis, traceability and optimization; Emission inventory framework: The construction of the emission inventory needs to cover all links in each life cycle stage. The content included in each stage is: describing the main process or activity of the stage, the VOC emission factor of each link, and the activity level data of each link, such as production volume, material consumption, energy consumption, etc.; By collecting and calculating the VOC emission factors of each link and combining the actual activity levels (production volume, consumption, etc.) of each link, calculate the VOC emissions of each link. The specific calculation formula is: , where is the total VOC emissions in a certain stage of the entire life cycle, is the VOC emission factor of the i-th stage, is the activity level of the i-th stage, and n is the total number of stages in the life cycle. Exemplarily, assuming that it is necessary to calculate the VOC emission inventory database for stages such as polyurethane foam raw material acquisition, production process, waste treatment, etc., then:

[0096] 1. Raw material acquisition stage:

[0097] VOC emission factor: 10 g VOC / kg raw material;

[0098] Activity data: 1000 kg of raw material is used per hour;

[0099] VOC emissions: 10 g VOC / kg × 1000 kg = 10000 g VOC

[0100] 2. Production process stage:

[0101] VOC emission factor: 50 g VOC / kg raw material;

[0102] Activity data: 200 kg of polyurethane foam is produced per hour;

[0103] VOC emissions: 50 g VOC / kg × 200 kg = 10000 g VOC

[0104] 3. Raw material acquisition stage:

[0105] VOC emission factor: 5 g VOC / kg raw material;

[0106] Activity data: 50 kg of polyurethane foam waste is processed per hour;

[0107] VOC emissions: 5 g VOC / kg × 50 kg = 250 g VOC

[0108] Furthermore, combine the VOC emissions, each stage description, and activity data calculated for each stage above to establish a VOC emission inventory database.

[0109] Step S2: Establish a life cycle model through the life cycle analysis method and use the sensitivity analysis method to obtain the sensitivity of VOC emissions in each stage of the life cycle. Then, perform stage optimization using the multi-objective optimization method based on the sensitivity.

[0110] Among them, life cycle analysis (LCA) is a method for evaluating the environmental impacts (such as VOC emissions, energy consumption, etc.) of products, processes, or services throughout their life cycles. To establish a life cycle model to quantify VOC emissions, it is first necessary to ensure that all emission data and activity data can be accurately input and integrated in each life cycle stage (raw material acquisition, production process, transportation, use stage, waste treatment), and finally calculate the total VOC emissions.

[0111] Specifically, referring to Figure 5 As shown, in step S2, the method includes the following steps:

[0112] Step S21: Calculate the VOC emissions during the raw material acquisition stage through the processes of mining, transportation, and warehousing:

[0113] , where is the VOC emission in the raw material acquisition stage, is the VOC emission factor of the i-th raw material in the raw material acquisition stage, is the activity amount of the i-th raw material in the raw material acquisition stage.

[0114] Step S22: Calculate the VOC emissions during the production process stage for chemical reactions, heating processes, and raw material mixing production activities:

[0115] , where is the VOC emission in the production process stage, is the VOC emission factor of the i-th production link in the production process stage, is the activity amount of the i-th production link in the production process stage.

[0116] Step S23: Calculate the VOC emissions during the transportation stage for the transportation process from the raw material supplier to the production plant and from the product to the consumer:

[0117] , where is the VOC emission in the transportation stage, is the VOC emission factor of the i-th transportation link in the transportation stage, is the activity amount of the i-th transportation link in the transportation stage.

[0118] Step S24: Calculate the VOC emissions related to the energy consumption, chemical reactions, and release of volatile substances of the product during the use stage:

[0119] , where is the VOC emission amount during the use stage, is the VOC emission factor of the i-th use link during the use stage, is the activity amount of the i-th use link during the use stage.

[0120] Step S25: Calculate the VOC emissions during the product recovery, landfill, and incineration processes in the waste treatment stage:

[0121] , where is the VOC emission amount during the waste treatment stage, is the VOC emission factor of the i-th waste treatment link during the waste treatment stage, is the activity amount of the i-th waste treatment link during the waste treatment stage.

[0122] Step S26: Construct a life cycle model of the polyurethane foam anti-heartburn agent based on the above raw material acquisition stage, production process stage, transportation stage, use stage, and waste treatment stage.

[0123] Among them, after calculating the VOC emission amounts of each life cycle stage, calculate the total VOC emission amount:

[0124] .

[0125] Thus, establish a life cycle model based on the VOC emissions of the raw material acquisition stage, production process stage, transportation stage, use stage, and waste treatment stage of the above polyurethane foam anti-heartburn agent.

[0126] Specifically, referring to Figure 6 as shown, after establishing the life cycle model, the method further includes the following steps:

[0127] Step S27: Select the parameters related to VOC emissions in each stage, and the parameters include one or more of the VOC emission factor of the raw material, reaction temperature, reaction time, and transportation emission factor.

[0128] Step S28: Calculate the impact of changes in each parameter on the total VOC emission, and generate the sensitivity of the parameters related to VOC emissions in each stage to the VOC emission amount. The calculation formula is:

[0129] , where is the sensitivity coefficient of the \(i\)th parameter, representing the response degree of VOC emissions to this parameter, is the partial derivative of VOC emissions with respect to the change of the \(i\)th parameter, representing the change rate of VOC emissions when the parameter changes, is the change amount of the \(i\)th parameter, is the total VOC emissions.

[0130] Quantify the sensitivity of each parameter in each stage of the life cycle of the polyurethane foam anti-heartburn agent to VOC emissions through the above formula, and identify which parameter changes have the greatest impact on VOC emissions; for each parameter, local sensitivity analysis and global sensitivity analysis are used to judge its impact on VOC emissions. Local sensitivity analysis is to evaluate the sensitivity by changing the value of each parameter alone and observing the change of VOC emissions, which is applicable to the case where only the impact of a single factor on the result is concerned; global sensitivity analysis is to consider the situation of multiple parameters changing simultaneously, comprehensively considering the mutual relationship between various parameters, and is applicable to complex and multi-factor interaction situations.

[0131] Step S29: According to the sensitivity of each parameter, use the genetic method or the particle swarm optimization method to optimize the parameters of each stage of the polyurethane foam anti-heartburn agent on the premise of meeting the VOC emission standard.

[0132] Before performing the genetic method or the particle swarm optimization method, construct the objective function:

[0133] , where is the total objective function, is the objective function of VOC emissions, usually representing the VOC emissions of the current formulation or process link; is the objective function of production cost, is the objective function of the anti-heartburn performance of the polyurethane foam anti-heartburn agent; is the weight of each objective, representing the priority of each objective; set the optimization constraint conditions:

[0134] VOC emissions cannot exceed the specified upper limit to ensure that the product meets environmental protection standards; the usage amount of raw materials is usually limited and must be within an acceptable range; the production cost must be within the predetermined budget range.

[0135] Thus, the genetic algorithm continuously optimizes the candidate solutions by simulating the biological evolution process, including operations such as selection, crossover, and mutation. Its basic process is as follows:

[0136] Generate a group of individuals, and each individual represents a set of raw material ratios and process parameters;

[0137] Evaluate the fitness of each individual through the objective function. The higher the fitness, the better the objective function value of the individual;

[0138] Select excellent individuals according to fitness for generating the next generation;

[0139] Through crossover operations (such as single-point crossover or multi-point crossover), exchange the information of two individuals to generate new individuals;

[0140] Change a part of the information of an individual through mutation operations to increase the diversity of the search space;

[0141] Repeat the selection, crossover, and mutation processes until the maximum number of iterations is reached or the convergence condition is satisfied.

[0142] Thus, particle swarm optimization is an optimization algorithm that simulates swarm behavior. By adjusting the velocity and position of particles, it explores the optimal solution. Its basic process is as follows:

[0143] Initialize the particle swarm, where each particle represents a possible solution;

[0144] Evaluate the fitness of each particle based on the objective function;

[0145] Each particle updates its own position and velocity according to the historical best position of the current optimal parameter combination and the global best position;

[0146] In each generation update, all particles approach their own best and the global best, and gradually find the best solution with the minimum VOC emissions.

[0147] Step S3: Use a preset environmental impact assessment method to convert the VOC emissions into environmental impact indicators and optimize the production process according to the environmental impact indicators, generate a VOC optimization model and deploy the VOC optimization model.

[0148] Among them, environmental impact assessment is to convert different emissions (such as VOC emissions) into environmental impact indicators, and then quantify their impacts on the environment and health. Common environmental impact assessment methods include the IPCC (Intergovernmental Panel on Climate Change) method, the TRACI (Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts) method, etc. These methods can quantitatively evaluate the contribution of VOC emissions in each life cycle stage to environmental indicators such as air quality, greenhouse gas effect, acidification, ozone generation potential (OGP), etc.

[0149] Among them, the IPCC method is mainly used to evaluate the impact of greenhouse gas emissions on climate change, usually estimated through greenhouse gas emission factors; the TRACI method can evaluate multiple environmental impact categories, including acidification potential, ozone generation potential, ecotoxicity, resource consumption, etc.

[0150] Exemplarily, the TRACI method is adopted in this application to evaluate VOC emissions.

[0151] Specifically, in step S3, the VOC emissions are converted into impact values of various environmental impact categories, such as the ozone formation potential and acidification potential in the TRACI method, and are associated with indicators such as air quality and human health. Refer to Figure 7 As shown, the specific method further includes the following steps:

[0152] Step S32: Calculate the ozone formation potential: , where is the ozone formation potential, is the ozone formation factor of VOC emissions, is the VOC emissions.

[0153] Step S33: Calculate the acidification potential: , where is the acidification potential, is the acidification factor of VOC emissions.

[0154] Step S34: Generate air quality and health indicators: , where is the impact on air quality and health, is the impact coefficient of VOC on air quality and health.

[0155] Step S35: Generate a comprehensive impact score based on the ozone formation potential, acidification potential, and air quality and health indicators: , where are the weight coefficients corresponding to the ozone formation potential, acidification potential, and air quality and health indicators;

[0156] Exemplarily, for example, if the VOC emissions are 1000 g, assuming the ozone formation potential is 0.4 g O3 equivalent / g VOC, the acidification factor is 0.2 g SO2 equivalent / g VOC, and the health impact coefficient is 0.00005 DALY / g VOC, then the ozone formation potential is 400 g O3 equivalent, the acidification potential is 200 SO2 equivalent, and the air quality and health indicator is 0.05 DALY.

[0157] Furthermore, assuming that the results of the life cycle model analysis show that during the production process, the VOC emissions in the reaction stage account for 50% of the total emissions, while the raw material procurement stage accounts for 30%. Thus, through the feedback of the life cycle model, it can be determined that the key points for optimization lie in these two links.

[0158] Specifically, refer to Figure 8 As shown, the method further includes the following steps:

[0159] Step S36: Compare the VOC emission factors of each raw material or reaction condition according to the comprehensive impact score, and screen out the raw materials or process conditions with a preset ranking.

[0160] Step S37: On the premise of ensuring unchanged performance, optimize the formula by reducing the dosage of raw materials and / or introducing low-VOC alternative raw materials, or reduce emissions by lowering process condition parameters or introducing VOC recovery equipment.

[0161] Among them, the process condition parameters include but are not limited to reaction temperature and pressure, reaction time, catalyst dosage; the VOC recovery equipment includes but is not limited to adsorption equipment, condensation recovery equipment and other equipment that can capture and recover VOC.

[0162] Step S38: After each optimization, dynamically feedback the output of the VOC optimization model into the optimization strategy to further optimize the formula or process conditions.

[0163] Specifically, based on the preliminary life cycle model analysis results, conduct preliminary adjustments to the formula or production process conditions; after the adjustment, re-evaluate the optimized VOC emission situation through the life cycle model and calculate the total VOC emissions in each stage after optimization, and then adjust the formula or process again according to the new life cycle model analysis results to further reduce VOC emissions.

[0164] Specifically, as shown in Figure 9 In step S38, the method further includes the following steps:

[0165] Step S381: After each optimization, re-evaluate the optimized VOC emission situation through the VOC optimization model, and calculate the total VOC emissions in each stage of the optimized polyurethane foam anti-heartburn agent.

[0166] Step S382: Readjust the formula or process conditions according to the VOC optimization strategy to further reduce VOC emissions.

[0167] Step S383: In each iterative optimization process, take minimizing VOC emissions as the goal:

[0168] , where is the total optimized VOC emissions in each iteration, is the VOC emissions varying with the formula or process condition X in the i-th stage;

[0169] Step S384: Conduct a preset number of iterations to generate an optimal balance among VOC emissions, production costs and product performance. The calculation formula is: , where is the weight coefficient for balancing VOC emissions, cost and performance, is the production cost, is the anti-heartburn performance index of the product.

[0170] Through the formulation and process optimization based on life cycle analysis, combined with dynamic feedback adjustment and optimization, the production process can be continuously iterated and adjusted, ultimately achieving the minimization of VOC emissions while maintaining the economy of production and the performance of the product.

[0171] Step S4: Input the continuously collected real-time production data into the deployed VOC optimization model to obtain the VOC optimization strategy output by the VOC optimization model.

[0172] Step S5: Feed back the VOC optimization strategy to the matching production control system.

[0173] Specifically, the operator can set the production control system to immediately execute the VOC optimization strategies that can be completed after receiving the VOC optimization strategy, and feed back the remaining VOC optimization strategies that cannot be completed to the corresponding management terminal.

[0174] Reference Figure 10 As shown, the present application also provides an optimization system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent that executes the above-mentioned optimization method, including:

[0175] A data processing module 101, configured to perform data preprocessing based on the collected production data of the polyurethane foam anti-heartburn agent that matches the VOC emissions, and then establish a VOC emission inventory database.

[0176] A model establishment module 102, configured to establish a life cycle model by the life cycle analysis method and obtain the sensitivity of VOC emissions in each stage of the life cycle by using the sensitivity analysis method.

[0177] A model optimization module 103, configured to perform stage optimization by using a multi-objective optimization method according to the sensitivity; convert the VOC emissions into environmental impact indicators by using a preset environmental impact assessment method and optimize the production process according to the environmental impact indicators.

[0178] A model deployment module 104, configured to deploy the optimized life cycle model and input the continuously collected real-time production data of the polyurethane foam anti-heartburn agent into the deployed life cycle model.

[0179] An optimization feedback module 105, configured to obtain the VOC optimization strategy output by the life cycle model and feed back the VOC optimization strategy to the production control system of the polyurethane foam anti-heartburn agent.

[0180] The present application also provides a computer medium, on which a computer program is stored, and the computer program is executed by a processor to implement the optimization method of the low-VOC environmentally friendly polyurethane foam anti-heartburn agent described above.

[0181] The present application also provides a computer, including the computer medium described above.

[0182] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0183] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for optimizing a low-VOC environmentally friendly polyurethane foam anti-heartburn agent, characterized in that: The following steps are involved: Step S1: Perform data preprocessing based on the collected production data matching the VOC emissions, and then establish a VOC emission inventory database; Step S2: Establish a life cycle model through a life cycle analysis method and use a sensitivity analysis method to obtain the sensitivity of VOC emissions at each stage of the life cycle, and then use a multi-objective optimization method to perform stage optimization based on the sensitivity; Step S3: converting the VOC emissions into environmental impact indicators using a preset environmental impact assessment method, optimizing the production process according to the environmental impact indicators, generating a VOC optimization model, and deploying the VOC optimization model; Step S4: inputting the continuously collected real-time production data into the deployed VOC optimization model to obtain the VOC optimization strategy output by the VOC optimization model; Step S5: Feedback the VOC optimization strategy to a matching production control system; In step S3, the following steps are also included: Step S35: According to the VOC emission contribution and comprehensive impact score of the polyurethane foam anti-heartburn agent production stage, the VOC emission factor of each raw material or reaction condition is compared to screen out the raw materials or process conditions with a preset ranking; Step S36: Under the premise of ensuring that the performance remains unchanged, the formulation is optimized by reducing the amount of raw materials used and / or introducing low-VOC alternative raw materials, or, the emission is reduced by lowering the process parameters or introducing VOC recovery equipment; Step S37: After each optimization, the output of the VOC optimization model is dynamically fed back into the optimization strategy to further optimize the formulation or process conditions; Step S371: after each optimization, re-evaluate the optimized VOC emission through the VOC optimization model, and calculate the total VOC emission of each stage of the optimized polyurethane foam anti-heartburn agent; Step S372: readjusting the formulation or process conditions according to the VOC optimization strategy to further reduce VOC emissions; Step S373: In each iterative optimization process, minimizing VOC emissions is the goal: ,in, is the total VOC emission after optimization in each iteration, is the VOC emission that changes with the formulation or process condition X in the i-th stage; Step S374: Perform a preset number of iterations to generate an optimal balance between VOC emissions, production costs, and product performance. The calculation formula is: ,in, To balance the weight coefficients of VOC emissions, cost and performance, For production costs, It is an indicator of the product's anti-heartburn performance.

2. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 1, characterized in that: In step S1, the method comprises the following steps: Step S11: collecting production data matching VOC emissions from each stage of the life cycle of the polyurethane foam anti-heartburn agent, wherein each stage of the life cycle includes raw material acquisition, production process, use and waste treatment, and the production data includes one or more of raw material composition, energy consumption and emissions at each stage, and decomposition emissions at the use and waste stages; Step S12: performing data cleaning and standardization processing on the production data, wherein the data cleaning includes: outlier processing and missing value processing; Step S13: performing unit unification processing on the production data.

3. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 1 or 2, characterized in that: In step S1, the method further comprises the following steps: Step S14: Calculate the VOC emission factor of each production stage according to the production data after data preprocessing; Step S15: Combine the activity data of raw material acquisition, production process, use stage and waste treatment stage with all calculated VOC emission factors to generate a VOC emission inventory database, which at least includes: stage description, VOC emission factors and activity data.

4. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 3, characterized in that: In step S1, the method comprises the following steps: Step S101: Calculate the VOC emission factor of each production stage using the VOC emission factor calculation formula, the VOC emission factor calculation formula is: , where EF is the VOC emission factor, which represents the VOC emission per unit of production output. is the VOC emission during the production stage or treatment process, is the activity level of the production phase, which is output or consumption; Step S102: By collecting and calculating the VOC emission factors of each stage of the life cycle of the polyurethane foam anti-heartburn agent and combining the actual activity level of each stage, the VOC emission of each stage is calculated. The calculation formula is: ,in, is the total VOC emissions at a certain stage in the entire life cycle, is the VOC emission factor of the i-th stage, is the activity level of the ith stage, and n is the total number of stages in the life cycle; Step S103: Establish a VOC emission inventory database based on the calculated VOC emissions of each stage, each stage description and activity data.

5. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 1 or 4, characterized in that: In step S2, the method comprises the following steps: Step S21: Establishing the VOC emissions of the raw material acquisition stage of the polyurethane foam anti-heartburn agent, wherein: calculating the VOC emissions during the mining, transportation, and storage processes during the raw material acquisition stage; Step S22: Establishing the VOC emissions of the production process of the polyurethane foam anti-heartburn agent, wherein: calculating the VOC emissions of the chemical reaction, heating process, and raw material mixing production activities in the production process; Step S23: Establishing the VOC emissions of the polyurethane foam anti-heartburn agent during the transportation stage, wherein: calculating the VOC emissions during the transportation stage from the raw material supplier to the production plant, and from the product to the consumer; Step S24: establishing VOC emissions during the use phase of the polyurethane foam anti-heartburn agent, wherein: calculating VOC emissions related to energy consumption, chemical reactions, and release of volatile substances of the product during the use phase; Step S25: Establishing the VOC emission of the polyurethane foam anti-heartburn agent in the waste treatment stage, wherein: calculating the VOC emission of the product recycling, landfilling, and incineration treatment processes in the waste treatment stage; Step S26: construct a life cycle model of the polyurethane foam anti-heartburn agent based on the above-mentioned raw material acquisition stage, production process stage, transportation stage, use stage and waste disposal stage.

6. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 5, characterized in that: In step S2, the method further comprises the following steps: Step S27: selecting parameters related to VOC emissions in each stage, the parameters including: one or more of the VOC emission factor of the raw material, reaction temperature, reaction time, and transportation emission factor; Step S28: Calculate the impact of each parameter change on the total VOC emission, and generate the sensitivity of the parameters related to VOC emission at each stage to the VOC emission. The calculation formula is: ,in is the sensitivity coefficient of the i-th parameter, indicating the response degree of VOC emissions to this parameter. is the partial derivative of VOC emissions with respect to the change of the i-th parameter, indicating the rate of change of VOC emissions when the parameter changes. is the change of the ith parameter, is the total VOC emissions; Step S29: Based on the sensitivity of each parameter, a genetic method or a particle swarm optimization method is used to optimize the parameters of each stage of the polyurethane foam anti-heartburn agent under the premise of meeting the VOC emission standard.

7. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 6, characterized in that: In step S3, the method comprises the following steps: Step S31: converting VOC emissions into ozone creation potential and acidification potential using the TRACI method and correlating them with air quality and health indicators; Step S32: Calculate ozone generation potential: ,in, is the ozone generation potential, is the ozone generation factor of VOC emissions, is the VOC emission; Step S32: Calculate acidification potential: ,in, is the acidification potential, is the acidification factor of VOC emissions; Step S33: Generate air quality and health indicators: ,in For the impact on air quality and health, is the impact coefficient of VOC on air quality and health; Step S34: Generate a comprehensive impact score based on the ozone generation potential, acidification potential, and air quality and health indicators: ,in These are the weight coefficients corresponding to ozone creation potential, acidification potential, and air quality and health indicators.

8. An optimization system for low-VOC environmentally friendly polyurethane foam anti-heartburn agent that implements the optimization method described in any one of claims 1 to 7, characterized in that: include: The data processing module is used to perform data preprocessing based on the collected production data of polyurethane foam anti-heartburn agents that match VOC emissions, and then establish a VOC emission inventory database; Model building module, which is used to build a life cycle model through life cycle analysis method and obtain the sensitivity of VOC emissions at each stage of the life cycle using sensitivity analysis method; A model optimization module is used to perform stage optimization using a multi-objective optimization method according to sensitivity; a preset environmental impact assessment method is used to convert VOC emissions into environmental impact indicators and optimize the production process according to the environmental impact indicators; Model deployment module, used to deploy the optimized life cycle model and input the continuously collected real-time production data of polyurethane foam anti-heartburn agent into the deployed life cycle model; The optimization feedback module is used to obtain the VOC optimization strategy output by the life cycle model and feed back the VOC optimization strategy to the production control system of the polyurethane foam anti-heartburn agent.

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