Optimization method and system for low-VOC environment-friendly polyurethane foam anti-burning agent

Abstract

The invention discloses an optimization method of a low-VOC (volatile organic compound) environment-friendly polyurethane foam anti-burning agent, which comprises the following steps: carrying out data preprocessing according to collected production data matched with VOC emission, and further establishing a VOC emission list database; a life cycle model is established through a life cycle analysis method, sensitivity is obtained through a sensitivity analysis method, and then stage optimization is conducted through a multi-objective optimization method according to the sensitivity; adopting a preset environmental influence evaluation method to convert the VOC emission into environmental influence indexes, performing production process optimization according to the environmental influence indexes, generating a VOC optimization model, and deploying the VOC optimization model; continuously collected real-time production data are input into the deployed VOC optimization model, and a VOC optimization strategy output by the VOC optimization model is obtained; and feeding back the VOC optimization strategy to a matched production control system. According to the invention, the VOC emission can be systematically reduced from the perspective of full life cycle.

Description

Technical Field

[0001] The invention relates to the technical field of VOC emission optimization, and in particular 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 performance, polyurethane foam is widely used in the fields of car seats, household goods, building insulation and packaging materials. At present, in the production process of existing polyurethane foam, it is necessary to add an anti-heartburn agent to inhibit excessive foaming and heating of 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, polyurethane foam is prone to combustion in a high-temperature environment or when encountering an open flame, and releases a large amount of harmful gases; At present, the existing polyurethane foam anti-heartburn agents 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 the polyurethane foam. When preparing or using existing polyurethane foam, people often only focus on the performance of the foam, but ignore the VOC emission control in each production stage. It is difficult to systematically reduce VOC emissions from the perspective of the entire life cycle, causing air pollution and harming health and the environment.

[0003] 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 a full life cycle perspective. Summary of the invention

[0004] Purpose of the invention: In order to overcome the above shortcomings, the purpose of the present invention is to provide an optimization method and system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent.

[0005] In order to solve the above technical problems, the present invention provides an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent, comprising: 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 the matching production control system. In one aspect, 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 one or more of 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.

[0006] In one aspect, 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.

[0007] In one aspect, 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 level of activity during the production phase, usually 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.

[0008] In one aspect, 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.

[0009] In one aspect, 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 parameter i, indicating the response degree of VOC emission to the 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.

[0010] In one aspect, 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 S33: Calculate acidification potential: ,in, is the acidification potential, is the acidification factor of VOC emissions; Step S34: 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 S35: Generate a comprehensive impact score based on the ozone generation potential, acidification potential, and air quality and health indicators: ,in are the weight coefficients corresponding to ozone creation potential, acidification potential, and air quality and health indicators.

[0011] In one aspect, in step S3, the method further comprises the following steps: Step S36: According to the comprehensive impact score, the VOC emission factors of each raw material or reaction condition are compared to screen out the raw materials or process conditions with a preset ranking; Step S37: Under the premise of ensuring that the performance remains unchanged, the formulation is optimized by reducing the amount of the raw material and / or introducing low-VOC alternative raw materials, or, the emission is reduced by lowering the process parameters or introducing VOC recovery equipment; Step S38: After each optimization, the output of the VOC optimization model is dynamically fed back into the optimization strategy to further optimize the recipe or process conditions.

[0012] In one aspect, in step S37, the method further comprises the following steps: 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.

[0013] The present application also provides an optimization system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent for executing the optimization method, comprising: 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.

[0014] The above technical solution of the present application has the following advantages compared with the prior art: 1. Establish a life cycle VOC emission inventory database covering the raw material acquisition, production, use and waste treatment stages, and conduct a systematic analysis of VOC emissions through data preprocessing and unitization processing to achieve accurate tracking and control of VOC emissions.

[0015] 2. Life cycle analysis and sensitivity analysis are introduced to quantify the impact of different stages and parameters on VOC emissions, and multi-objective optimization is performed based on this. Sensitivity analysis can help identify key parameters, optimize various production links, minimize VOC emissions, balance costs and product performance, and achieve more reasonable solution selection.

[0016] 3. By using a comprehensive environmental impact assessment method to convert VOC emissions into environmental impact indicators such as ozone generation potential and acidification potential, and combining them with air quality and health-related indicators, the environmental benefits of the production process are evaluated as a whole. Process optimization based on these assessment results helps to minimize harm to the environment and health and improve environmental performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0018] Figure 1 It is a flow chart of an optimization method for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent provided in an embodiment of the present invention.

[0019] Figure 2 It is a flow chart of a data preprocessing method provided by an embodiment of the present invention.

[0020] Figure 3 This is a first flow chart of the method for establishing a VOC emission inventory database provided by an embodiment of the present invention.

[0021] Figure 4 This is a second flow chart of the method for establishing a VOC emission inventory database provided in an embodiment of the present invention.

[0022] Figure 5 It is a flow chart of a method for establishing a life cycle model provided by an embodiment of the present invention.

[0023] Figure 6 It is a flow chart of the model optimization method provided by an embodiment of the present invention.

[0024] Figure 7 It is a flow chart of an environmental impact assessment method provided by an embodiment of the present invention.

[0025] Figure 8 It is a flow chart of a principle or process condition optimization method provided by an embodiment of the present invention.

[0026] Fig. 9 It is a flow chart of a dynamic adjustment method provided by an embodiment of the present invention.

[0027] Fig.10 It is a connection schematic diagram of an optimized system for a low-VOC, environment-friendly polyurethane foam anti-heartburn agent provided in an embodiment of the present invention.

[0028] Description of the Figures in the Specification: 101. Data processing module, 102. Model building module, 103. Model optimization module, 104. Model deployment module, 105. Optimization feedback module. DETAILED DESCRIPTION

[0029] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0030] refer to Figure 1 As shown, in some embodiments, the optimization method of the low-VOC environmentally friendly polyurethane foam anti-heartburn agent involved includes the following steps: Step S1: Perform data preprocessing based on the collected production data that matches the VOC emissions, and then establish a VOC emission inventory database.

[0031] Among them, the production data matching the VOC emissions are the data of each stage of the life cycle of the polyurethane foam anti-heartburn agent, specifically including: in the raw material acquisition stage, data such as the type and source of raw materials, energy consumption during transportation, and raw material composition are collected; in the production process stage, energy consumption (such as electricity, natural gas, etc.) and emissions (such as CO2, NOx, VOC, etc.) in the production process are collected; in the use stage, the energy efficiency, emissions and possible volatile organic compound (VOC) emissions of the product during use are collected; in the waste treatment stage, waste treatment after the end of the product life cycle is collected, such as energy consumption, emissions and VOC emissions during the decomposition process of recycling, landfill or incineration.

[0032] Specifically, refer to Figure 2 As shown, in step S1, the method includes the following steps: Step S11: Collect 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 one or more of raw material acquisition, production process, use and waste disposal, 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.

[0033] Among them, the raw material composition includes the chemical composition of the raw materials and their possible volatile organic compound (VOC) release potential; the energy consumption in each link includes recording the amount of energy used in each link (such as electricity, heat, fossil fuels, etc.); emissions include emissions of gases such as CO2, NOx, SOx and VOC; decomposition emissions in the use and disposal stages include VOC emissions in the use and disposal stages calculated based on the properties of the materials and environmental conditions.

[0034] Step S12: performing data cleaning and standardization processing on the production data, wherein the data cleaning includes: outlier processing and missing value processing.

[0035] Among them, during data cleaning and standardization, outliers and missing values ​​are removed, and then the data format is unified to ensure data consistency.

[0036] Step S13: performing unit unification processing on the production data.

[0037] Among them, emission data from different sources are converted into unified units.

[0038] refer to Figure 3 and Figure 4 As shown, after the data preprocessing is completed, the method further includes the following steps: Step S14: Calculate the VOC emission factor of each production stage based on the production data after data preprocessing.

[0039] 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.

[0040] 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.

[0041] Specifically, the establishment of the VOC emission inventory database is to organize and integrate the VOC emission factors of each production, processing link and each stage of the life cycle to form a systematic database for subsequent analysis, tracing and optimization; Emission inventory framework: The construction of the emission inventory needs to cover all links in each life cycle stage. For each stage, the content includes: description of the main process or activities of the stage, the VOC emission factors of each link, and the activity level data of each link, such as output, material consumption, energy consumption, etc.; by collecting and calculating the VOC emission factors of each link, combined with the actual activity level of each link (output, consumption, etc.), calculate the VOC emissions of each link. The specific 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. For example, assuming that it is necessary to calculate the VOC emission inventory database for the stages of polyurethane foam raw material acquisition, production process, and waste treatment, then: 1. Raw material acquisition stage: VOC emission factor: 10gVOC / kg raw material; Activity data: 1000kg of raw materials used per hour; VOC emissions: 10gVOC / kg×1000kg=10000gVOC 2. Production process stage: VOC emission factor: 50gVOC / kg raw material; Activity data: 200kg of polyurethane foam is produced per hour; VOC emissions: 50gVOC / kg×200kg=10000gVOC 3. Raw material acquisition stage: VOC emission factor: 5gVOC / kg raw material; Activity data: 50kg of polyurethane foam waste is processed per hour; VOC emissions: 5gVOC / kg×50kg=250gVOC Then, the VOC emissions of each stage calculated above, the description of each stage and the activity data are combined to establish a VOC emission inventory database.

[0042] 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 at each stage of the life cycle, and then use the multi-objective optimization method to perform stage optimization based on the sensitivity.

[0043] Among them, life cycle analysis (LCA) is a method to evaluate the environmental impact (such as VOC emissions, energy consumption, etc.) of products, processes or services throughout their life cycle. To establish a life cycle model to quantify VOC emissions, we must first ensure that in each life cycle stage (raw material acquisition, production process, transportation, use stage, waste disposal), all emission data and activity data can be accurately input and integrated, and finally calculate the total VOC emissions.

[0044] Specifically, refer to Figure 5 As shown, in step S2, the method includes the following steps: Step S21: Calculate VOC emissions during the mining, transportation, and storage process during the raw material acquisition stage: ,in is the VOC emission during 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 ith raw material in the raw material acquisition stage.

[0045] Step S22: Calculate the VOC emissions from chemical reactions, heating processes, and raw material mixing production activities during the production process: ,in is the VOC emission during the generation process, is the VOC emission factor of the ith production link in the generation process, is the activity volume of the ith production link in the generation process stage.

[0046] Step S23: Calculate the VOC emissions during the transportation phase from the raw material supplier to the production plant and from the product to the consumer: ,in is the VOC emission during the transportation stage, is the VOC emission factor of the ith transport link in the transport stage, is the activity volume of the ith transport link in the transport phase.

[0047] Step S24: Calculate VOC emissions related to energy consumption, chemical reactions, and release of volatile substances in the product during the use phase: ,in is the VOC emission during the use phase, is the VOC emission factor of the i-th use link in the use phase, is the activity amount of the ith usage link in the usage phase.

[0048] Step S25: Calculate the VOC emissions from the recycling, landfilling and incineration of products in the waste treatment stage: ,in is the VOC emission in the waste treatment stage, is the VOC emission factor of the i-th waste treatment link in the waste treatment stage, is the activity volume of the ith waste treatment link in the waste treatment stage.

[0049] 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.

[0050] Among them, after completing the calculation of VOC emissions at each life cycle stage, calculate the total VOC emissions: .

[0051] Therefore, a life cycle model was established based on the VOC emissions in the raw material acquisition stage, production process stage, transportation stage, use stage, and waste disposal stage of the above-mentioned polyurethane foam anti-heartburn agent.

[0052] Specifically, refer to Figure 6 As shown, after the life cycle model is established, the method further includes 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.

[0053] 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 parameter i, indicating the response degree of VOC emission to the 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 emission.

[0054] The above formula is used to quantify the sensitivity of each parameter in each link of the life cycle of the polyurethane foam anti-heartburn agent to VOC emissions, 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 determine its impact on VOC emissions. Local sensitivity analysis evaluates sensitivity by changing the value of each parameter individually and observing changes in VOC emissions. It is suitable for those who only care about the impact of a single factor on the result. Global sensitivity analysis considers the situation where multiple parameters change at the same time and comprehensively considers the relationship between each parameter. It is suitable for complex and multi-factor interactive situations.

[0055] 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.

[0056] Before using genetic method or particle swarm optimization method, construct the objective function: ,in is the overall objective function, is the objective function of VOC emissions, which usually represents the VOC emissions of the current formula or process; 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 goal, indicating the priority of each goal; set the optimization constraints: VOC emissions cannot exceed the prescribed upper limit to ensure that the product meets environmental standards; the amount of raw materials used is usually limited and must be within an acceptable range; and production costs must be within a predetermined budget.

[0057] Therefore, the genetic algorithm continuously optimizes the candidate solutions by simulating the evolution process of organisms, including operations such as selection, crossover, and mutation. The basic process is as follows: Generate a set of individuals, each of which represents a set of raw material ratios and process parameters; The fitness of each individual is evaluated through the objective function. The higher the fitness, the better the objective function value of the individual. Select excellent individuals based on fitness to generate the next generation; Through crossover operations (such as single-point crossover or multi-point crossover), the information of two individuals is exchanged to generate a new individual; Change part of the individual information through mutation operation to increase the diversity of the search space; The selection, crossover, and mutation process is repeated until the maximum number of iterations is reached or the convergence criteria are met.

[0058] Therefore, particle swarm optimization is an optimization algorithm that simulates group behavior and explores the optimal solution by adjusting the speed and position of particles. Its basic process is as follows: Initialize the particle swarm, where each particle represents a possible solution; Evaluate the fitness of each particle based on the objective function; Each particle updates its position and speed based on the historical best position and global best position of the current optimal parameter combination; In each generation update, all particles approach their own optimum and the global optimum, and gradually find the best solution with the minimum VOC emissions.

[0059] 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.

[0060] Among them, environmental impact assessment is to convert different emissions (such as VOC emissions) into environmental impact indicators, and then quantify their impact on the environment and health. Common environmental impact assessment methods include the IPCC (International Climate Change Assessment) method, TRACI (Tools for Environmental Protection Agency in Environmental Impact Assessment), 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 effects, acidification, and ozone creation potential (OGP).

[0061] Among them, the IPCC method is mainly used to assess the impact of greenhouse gas emissions on climate change, which is usually estimated through greenhouse gas emission factors; the TRACI method can assess a variety of environmental impact categories, including acidification potential, ozone generation potential, ecotoxicity, resource consumption, etc.

[0062] Exemplarily, the TRACI method is used in the present application to evaluate VOC emissions.

[0063] Specifically, in step S3, VOC emissions are converted into impact values ​​for various environmental impact categories, such as ozone creation potential and acidification potential in the TRACI method, and are associated with indicators such as air quality and human health, referring to Figure 7 As shown, the method further comprises the following steps: Step S32: Calculate ozone generation potential: ,in, is the ozone generation potential, is the ozone generation factor of VOC emissions, is the VOC emission.

[0064] Step S33: Calculate acidification potential: ,in, is the acidification potential, is the acidification factor of VOC emissions.

[0065] Step S34: 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.

[0066] Step S35: Generate a comprehensive impact score based on the ozone generation potential, acidification potential, and air quality and health indicators: ,in The weight coefficients corresponding to the ozone generation potential, acidification potential, and air quality and health indicators; For example, if the VOC emission is 1000g, assuming the ozone generation potential is 0.4gO3 equivalent / gVOC, the acidification factor is 0.2gSO2 equivalent / gVOC, and the health impact coefficient is 0.00005DALY / gVOC, then the ozone generation potential is 400gO3 equivalent, the acidification potential is 200SO2 equivalent, and the air quality and health index is 0.05DALY.

[0067] Furthermore, assuming that the results of the life cycle model analysis show that in the production process, VOC emissions in the reaction stage account for 50% of the total emissions, while the raw material procurement stage accounts for 30%. Therefore, through the feedback of the life cycle model, it can be determined that the optimization focus is on these two links.

[0068] Specifically, refer to Figure 8 As shown, the method further comprises the following steps: Step S36: Based on the comprehensive impact score, the VOC emission factors of each raw material or reaction condition are compared to screen out raw materials or process conditions with a preset ranking.

[0069] Step S37: Under the premise of ensuring that the performance remains unchanged, the formulation is optimized by reducing the amount of the raw material and / or introducing low-VOC alternative raw materials, or, the emission is reduced by lowering the process condition parameters or introducing VOC recovery equipment.

[0070] Among them, process condition parameters include but are not limited to reaction temperature and pressure, reaction time, and catalyst dosage; VOC recovery equipment includes but is not limited to adsorption equipment, condensation recovery equipment, and other equipment that can capture and recover VOC.

[0071] Step S38: 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.

[0072] Specifically, based on the preliminary life cycle model analysis results, preliminary adjustments are made to the formula or production process conditions; after the adjustments, the optimized VOC emissions are re-evaluated through the life cycle model and the total VOC emissions in each stage after optimization are calculated, and then the formula or process is adjusted again according to the new life cycle model analysis results to further reduce VOC emissions.

[0073] Specifically, refer to Fig. 9 As shown, in step S38, the method further includes the following steps: Step S381: 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 S382: readjusting the formulation or process conditions according to the VOC optimization strategy to further reduce VOC emissions; Step S383: 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 S384: Perform a preset number of iterations to generate the 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.

[0074] Through formula and process optimization based on life cycle analysis, combined with dynamic feedback adjustment and optimization, the production process can be continuously iterated and adjusted to ultimately minimize VOC emissions while maintaining production economy and product performance.

[0075] 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.

[0076] Step S5: Feedback the VOC optimization strategy to the matching production control system. 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 strategies, and feed back the remaining VOC optimization strategies that cannot be completed to the corresponding management terminal.

[0077] refer to Fig.10As shown, the present application also provides an optimization system for a low-VOC environmentally friendly polyurethane foam anti-heartburn agent for executing the above-mentioned optimization method, comprising: The data processing module 101 is used 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.

[0078] The model building module 102 is used to build a life cycle model through a life cycle analysis method and to obtain the sensitivity of VOC emissions at each stage of the life cycle using a sensitivity analysis method.

[0079] The model optimization module 103 is used to perform stage optimization using a multi-objective optimization method according to sensitivity; convert VOC emissions into environmental impact indicators using a preset environmental impact assessment method and optimize the production process according to the environmental impact indicators.

[0080] The model deployment module 104 is used 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.

[0081] The optimization feedback module 105 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.

[0082] The present application also provides a computer medium having a computer program stored thereon, 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.

[0083] The present application also provides a computer, comprising a computer medium according to the above.

[0084] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction 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 may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0085] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary 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 the matching production control system.

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 one or more of 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 level of activity during the production phase, usually 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 parameter i, indicating the response degree of VOC emission to the 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. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 7, characterized in that: In step S3, the method further comprises the following steps: 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 the raw material 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.

9. The optimization method of a low-VOC environmentally friendly polyurethane foam anti-heartburn agent according to claim 8, characterized in that: In step S37, the method further includes the following steps: 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.

10. 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 9, 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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