A method and device for constructing a filter rod biodegradability curve model

Abstract

The application discloses a method and device for constructing a filter rod biodegradability curve model. The method comprises the following steps: constructing an initial model of biodegradability of a filter rod in a hypothetical state by a carbon element conversion principle; optimizing the initial model of biodegradability according to an actual segmented degradation principle and a preset fitting target function to obtain a segmented model of biodegradability; and finally determining a target biodegradability curve model corresponding to a target filter rod according to the segmented model of biodegradability. Through the above construction steps, the time for obtaining the biodegradability curve of the filter rod is shortened from several months or even several years to minutes, the research and development efficiency of the degradable filter rod is greatly improved, a standardized and quantifiable model tool is provided for biodegradation performance evaluation of the filter rod, and the production efficiency of an enterprise is improved.

Description

Technical Field

[0001] This specification relates to the field of environmentally friendly degradable materials technology, and in particular to a method for constructing a filter rod biodegradation rate curve model. Background Technology

[0002] Biodegradable materials are ultimately decomposed into water, carbon dioxide, inorganic salts, and dead organisms under the action of microorganisms and enzymes, offering high environmental benefits and making them a key research focus for new green materials. Biodegradability is a crucial indicator for evaluating the biodegradability of materials. It is typically achieved by mixing the material with a matrix and placing it in a degradation apparatus, controlling temperature, humidity, and oxygen concentration, and cumulatively monitoring the ratio of the actual carbon dioxide released during decomposition to the theoretical carbon dioxide content the material can produce. This ratio characterizes the degree of decomposition and is expressed as a percentage. Filter rods are commonly used in traditional cigarettes. In recent years, in response to the trend of green and environmentally friendly development, domestic and international filter rod companies have been actively developing biodegradable filter rods. When evaluating the biodegradability of filter rod products, biodegradability is an essential testing indicator. Currently, biodegradability can only be measured experimentally, a lengthy process typically requiring 0.5-2 years. This time-consuming testing significantly impacts the R&D efficiency of biodegradable filter rods and reduces the production efficiency of enterprises. Summary of the Invention

[0003] This application provides a method and apparatus for constructing a filter rod biodegradation rate curve model, the technical solution of which is as follows:

[0004] In a first aspect, embodiments of this application provide a method for constructing a filter rod biodegradation rate curve model, the method comprising:

[0005] An initial model of the biodegradation rate of the filter rod under hypothetical conditions is constructed based on the principle of carbon element conversion. The hypothetical conditions are used to assume that the degradation rate of each organic component in the filter rod is constant.

[0006] The initial model of biodegradability is optimized based on the actual segmented degradation principle and the preset fitting objective function to obtain a segmented model of biodegradability.

[0007] The target biodegradability curve model corresponding to the target filter rod is determined based on the segmented biodegradability model.

[0008] Secondly, an apparatus for constructing a filter rod biodegradation rate curve model is provided, the apparatus comprising:

[0009] The conversion module is used to construct an initial model of the biodegradation rate of the filter rod under assumed conditions based on the principle of carbon element conversion. The assumed conditions are used to assume that the degradation rate of each organic component in the filter rod is constant.

[0010] The optimization module is used to optimize the initial model of biodegradability based on the actual segmented degradation principle and the preset fitting objective function to obtain a segmented model of biodegradability.

[0011] The determination module is used to determine the target biodegradability curve model corresponding to the target filter rod based on the biodegradability segmentation model.

[0012] Thirdly, an electronic device is provided, including a device processor and a memory;

[0013] The device processor is connected to the memory;

[0014] The memory is used to store executable program code;

[0015] The device processor runs a program corresponding to the executable program code stored in the memory to perform the steps of the method provided as in the first aspect or any possible implementation thereof.

[0016] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, the computer-readable storage medium storing instructions that, when executed on a computer or device processor, cause the computer or device processor to perform the method provided as in the first aspect or any possible implementation thereof.

[0017] The beneficial effects of the technical solutions provided in some embodiments of this application include at least the following:

[0018] In one or more embodiments of this application, an initial model of the biodegradability rate of the filter rod under assumed conditions is constructed based on the principle of carbon element conversion. Then, the initial model is optimized according to the actual segmented degradation principle and a preset fitting objective function to obtain a segmented biodegradability model. Finally, the target biodegradability curve model corresponding to the target filter rod is determined based on the segmented biodegradability model. Through these construction steps, the time for obtaining the biodegradability curve of the filter rod is shortened from months or even years to minutes, greatly improving the R&D efficiency of biodegradable filter rods and providing a standardized and quantifiable model tool for evaluating the biodegradability performance of filter rods, thereby improving enterprise production efficiency. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating a method for constructing a filter rod biodegradation rate curve model provided in this application embodiment;

[0021] Figure 2 A schematic diagram of a device for constructing a filter rod biodegradation rate curve model provided in an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0023] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0024] The terms "first," "second," "third," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0025] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of this application. Various processes or components may be appropriately omitted, substituted, or added to the examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

[0026] Please see Figure 1 , Figure 1 The diagram shows an overall flowchart of a method for constructing a filter rod biodegradation rate curve model according to an embodiment of this application.

[0027] like Figure 1 As shown, the method for constructing the biodegradation rate curve model of the filter rod may include at least the following steps:

[0028] Step 101: Construct an initial model of the biodegradation rate of the filter rod under assumed conditions based on the principle of carbon element conversion.

[0029] The assumed state is used to assume that the degradation rate of each organic component in the filter rod is constant.

[0030] In this embodiment, to construct a biodegradation rate curve model for the filter rod, a basic theoretical model needs to be determined first. Since the biodegradation rate is directly related to the cumulative amount of carbon dioxide released during aerobic biodegradation, and the carbon in carbon dioxide originates entirely from the organic carbon in the material itself, the fundamental principle that carbon is conserved during degradation and ultimately converted into carbon dioxide can be utilized to transform the difficult-to-measure biodegradation rate into a calculation of carbon content changes. To achieve this transformation, an ideal assumption needs to be set. Under this assumption, to simplify the complex degradation kinetics, it is assumed that all organic components in the filter rod, such as the filter element, plasticizer, curing agent, and forming paper, degrade at their own constant rates, unaffected by time or the degradation products of other components; that is, the degradation rate does not change with time. Specifically, based on the principle of carbon element conversion, by analyzing the initial carbon content of the organic components in the filter rod and the degradation kinetics of each component under the assumed constant rate, an expression for the remaining carbon content of the filter rod at any time t can be derived, i.e., the carbon content model. Then, based on the proportion of degraded organic carbon to the initial total organic carbon, its relationship with the carbon content model can be established, namely the initial biodegradation rate model, which lays the foundation for a theoretical mathematical model for subsequent optimization steps.

[0031] In one possible implementation, the construction of an initial model for the biodegradation rate of the filter rod under assumed conditions based on the principle of carbon element conversion includes:

[0032] A model for calculating the carbon content of a filter rod at any given moment based on the principle of carbon element conversion;

[0033] The initial model for the biodegradation rate of the filter rod under the assumed conditions is determined based on the carbon content calculation model.

[0034] In this embodiment, during the biodegradation process, microorganisms continuously convert the carbon elements in the organic components of the filter rod into carbon dioxide, leading to a gradual decrease in the mass of each component. To construct an initial model of the biodegradation rate of the filter rod under assumed conditions, we can first assume that the degradation rate of each organic component in the filter rod remains constant, which satisfies the following equation:

[0035]

[0036] in, This represents the carbon content of component i in the filter rod at any time t. The degradation rate of component i is used as the basis for the carbon content model, which is shown below after calculation:

[0037]

[0038] Next, the biodegradation rate of the filter rod under the assumed conditions is determined based on the carbon content calculation model:

[0039]

[0040] in, Let be the biodegradation rate of component i at any time t. This represents the degradation rate of component i.

[0041] Next, it is known that the filter rod is mainly composed of n organic components, and the mass ratio of component i in the filter rod is... The initial model for biodegradation rate is as follows:

[0042]

[0043] in, Let be the biodegradation rate of the filter rod at any time t. The mass ratio of component i in the filter rod. This represents the degradation rate of component i.

[0044] Step 103: Optimize the initial model of biodegradation rate based on the actual segmented degradation principle and the preset fitting objective function to obtain the segmented model of biodegradation rate.

[0045] In this embodiment, the degradation rate of the material during actual biodegradation is not constant and generally consists of three stages: a lag phase, a decomposition phase, and a plateau phase. During the lag phase, microorganisms are slowly adapting to the material, resulting in a slow degradation rate. Then, during the decomposition phase, microorganisms have adapted to the material, accelerating the degradation rate. Finally, the material enters the plateau phase, where degradation is essentially complete and the rate tends to level off. The initial biodegradation rate model cannot characterize this piecewise nonlinear characteristic, and direct use would lead to significant prediction errors. Therefore, it is necessary to modify and optimize the previously constructed idealized initial model to accurately reflect the complex degradation behavior of the filter rod in the actual environment. Specifically, the initial biodegradation rate model can be reconstructed and optimized in segments based on the actual segmented degradation principle, dividing the degradation process into three stages, each with a different degradation rate, to obtain the original segmented model. Next, a pre-defined fitting objective function was introduced to measure the difference between the model's predicted values ​​and the measured biodegradability values ​​obtained from a small number of short-term experiments or historical databases. This yielded the target parameters corresponding to the original segmented model. By combining the introduction of the segmented structure with parameter solving based on the objective function, a segmented biodegradability model that conforms to the degradation mechanism and has high fitting accuracy was finally obtained.

[0046] In one possible implementation, optimizing the initial biodegradation rate model based on the actual segmented degradation principle and a preset fitting objective function to obtain a segmented biodegradation rate model includes:

[0047] Based on the actual segmented degradation principle, the initial biodegradability model was optimized in the first stage to obtain the original segmented biodegradability model.

[0048] The original biodegradability segmented model is optimized in a second stage based on a preset fitting objective function to obtain a biodegradability segmented model.

[0049] In this embodiment, to reduce the complexity of the overall optimization problem and ensure the physical interpretability of the final model when optimizing the initial biodegradability model, the optimization process can be clearly divided into two levels, adopting a strategy of first optimizing the structure and then optimizing the parameters. Specifically, the initial biodegradability model is first optimized according to the actual segmented degradation principle to obtain the original segmented biodegradability model, that is, based on the segmentation principle of hysteresis period, decomposition period, and stationary period, the original single, continuous exponential function is transformed. The model is then transformed into a piecewise function. For example, segmented time points t1 and t2 can be defined as the markers for the end of the hysteresis phase and the end of the decomposition phase, respectively. Different functional forms or values ​​of degradation rate can be assigned to different time periods. Next, a second-level optimization is performed on the original piecewise biodegradability model based on a pre-defined fitting objective function. This involves finding the optimal parameter combination within the model structure framework determined in the first step. Using the pre-defined fitting objective function, such as minimizing the root mean square error (RMSE) between the predicted and measured values, numerical optimization algorithms, such as least squares, particle swarm optimization, or gradient descent, iteratively optimize the unknown parameters in the original model—that is, the degradation rate coefficients at each segmented time point and each segment. The optimization algorithm continuously adjusts these parameters, substitutes them into the model to calculate the predicted decomposition rate, and compares it with the measured values ​​until the objective function value reaches its minimum or meets the pre-defined convergence condition. Finally, the set of parameters that makes the objective function reach its optimal value—the optimal piecewise parameter set—is substituted into the original piecewise biodegradability model to obtain the final, high-precision piecewise biodegradability model.

[0050] In one possible implementation, the first-level optimization of the initial biodegradability model based on the actual segmented degradation principle to obtain the original segmented biodegradability model includes:

[0051] The preset degradation stages are determined based on the actual segmented degradation principle, and the preset degradation stages include a hysteresis period, a decomposition period, and a plateau period.

[0052] The target degradation rate for each degradation stage is determined based on the initial degradation rate and the degradation rate coefficients of each segment in the initial biodegradation rate model.

[0053] The initial biodegradation rate model is optimized based on the preset degradation stages and target degradation rates to obtain the original biodegradation rate segmented model.

[0054] In this embodiment, when performing the first-level optimization of the initial biodegradability model, a preset degradation stage can be determined based on the actual segmented degradation principle. This preset degradation stage includes a lag phase, a decomposition phase, and a plateau phase. During the lag phase, microorganisms are slowly adapting to the material, resulting in a slow degradation rate. Then, during the decomposition phase, microorganisms have adapted to the material, accelerating the degradation rate. Finally, the plateau phase begins, where the material is essentially degraded, and the degradation rate tends to level off. Next, based on the initial degradation rate in the initial biodegradability model... and degradation rate coefficients of each segment By performing product calculations, the target degradation rate corresponding to each degradation stage is obtained. Finally, the initial biodegradation rate model is applied based on the preset degradation stages and target degradation rates. After optimization, the original biodegradation rate segmentation model is obtained as shown in the following formula:

[0055]

[0056] The first stage, or lag phase, is defined as 0 ≤ t ≤ t1; the second stage, or decomposition phase, is defined as t1 < t ≤ t2; and the third stage, or stationary phase, is defined as t > t2. Since all organic components in the filter rod are in the same environment during degradation, and the activity of microorganisms is synchronous, it is assumed that different components share the t1 and t2 segmentation points with the filter rod.

[0057] In one possible implementation, the second-level optimization of the original biodegradability segmented model based on a preset fitting objective function to obtain the biodegradability segmented model includes:

[0058] A fitting objective function is constructed based on the difference between the predicted biodegradation rate and the measured biodegradation rate.

[0059] Based on the fitted objective function, the target segment parameter set in the original biodegradation rate segmentation model is determined. The target segment parameter set includes each target segment time point and each segment degradation rate coefficient.

[0060] The biodegradability segmentation model is determined based on the target segmentation parameter set and the original biodegradability segmentation model.

[0061] In this embodiment of the application, when performing the second-level optimization on the original biodegradability segmented model, a fitting objective function can be constructed first based on the difference between the predicted biodegradability and the measured biodegradability, as shown below:

[0062]

[0063] in, This represents the predicted biodegradation rate of the i-th component based on the piecewise model. This represents the measured biodegradation rate of the i-th component.

[0064] Next, based on the fitted objective function, the target segment parameter set in the original biodegradation rate segmentation model is determined, including the time points t1 and t2 for each target segment and the degradation rate coefficient for each segment. Specifically, the algorithm iteratively optimizes the degradation rate coefficients at each time point and in each segment. These parameters are continuously adjusted and substituted into the objective function until the objective function value is minimized. The set of parameters that optimizes the objective function is then determined; this is the target segment parameter set. Finally, the parameters from the target segment parameter set are substituted into the original biodegradability segmentation model to obtain the biodegradability segmentation model.

[0065] Step 105: Determine the target biodegradability curve model corresponding to the target filter rod based on the biodegradability segmentation model.

[0066] In this embodiment, once a universal and standardized biodegradability segmentation model is determined, it can be applied to any type of filter rod product. Only the target component information corresponding to the target filter rod needs to be determined, i.e., the composition of organic components and the mass ratio of each component in the filter rod. Then, the target component information can be directly input into the biodegradability segmentation model to quickly obtain the target biodegradability curve model corresponding to the target filter rod. This allows for the rapid generation of a complete biodegradability curve, which can be used to evaluate product performance and guide formula optimization. This avoids the need for time-consuming and lengthy actual degradation experiments for each new filter rod, reducing testing time and improving the R&D efficiency of biodegradable filter rods.

[0067] In one possible implementation, determining the target biodegradability curve model corresponding to the target filter rod based on the biodegradability segmentation model includes:

[0068] Determine the target type information of the target filter rod, and determine the target component information corresponding to the target type information based on the filter rod information database;

[0069] The target biodegradability curve model corresponding to the target filter rod is determined based on the biodegradability segmentation model and the target component information.

[0070] In this embodiment, to provide an efficient and automated method for associating a specific filter rod with a general model, a filter rod information database can be pre-built. This database stores detailed information on various known filter rod types, particularly component information. The component information may include key parameters such as the type of organic component, the mass percentage of each component, the theoretical maximum carbon dioxide release of each component, and the measured biodegradability. When a model needs to be built for a newly developed or evaluated target filter rod, the operator only needs to input or identify its target type information, such as the product model or formula number, and query the filter rod information database based on this information to quickly and accurately extract the corresponding target component information. Then, the extracted target component information is input into the biodegradability segmentation model to quickly obtain the target biodegradability curve model corresponding to the target filter rod.

[0071] In one possible implementation, the method further includes:

[0072] Determine the test fit between the target biodegradability curve and the measured biodegradability curve;

[0073] The degradation rate coefficients for each segment are updated based on the test fit.

[0074] In this embodiment, to enable the model to continuously learn and improve, addressing uncertainties arising from new formulations or changes in the degradation environment, and maintaining long-term predictive accuracy, an adaptive correction and optimization mechanism is introduced. Specifically, after determining the target biodegradability curve model corresponding to the target filter rod, a target biodegradability curve is predicted using this model, and the measured biodegradability curve corresponding to the target filter rod is statistically analyzed through testing. Next, the test fit between the target biodegradability curve and the measured biodegradability curve is determined. Go to one side, if A value greater than 0.95 indicates that the model's predictions match the actual situation well. If the value is not greater than 0.95, the degradation rate coefficients of each segment need to be updated. That is, the second-level optimization mentioned above is re-executed using an extended dataset composed of new and old measured data, so that the target biodegradation rate curve model has the ability to self-evolve and can maintain a high degree of fit to the real degradation process in long-term use.

[0075] The foregoing has described specific embodiments of this application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0076] Please refer to the following. Figure 2 , Figure 2 A schematic diagram of a device for constructing a filter rod biodegradation rate curve model according to an embodiment of this application is shown. It should be noted that... Figure 2 The apparatus shown for constructing the biodegradation rate curve model of the filter rod is used to perform this application. Figure 1 The methods shown in the embodiments are for illustrative purposes only, illustrating the parts relevant to the embodiments of this application. For specific technical details not disclosed, please refer to this application. Figure 1 The example shown.

[0077] like Figure 2 As shown, the apparatus for constructing the biodegradation rate curve model of the filter rod may include at least:

[0078] The conversion module 201 is used to construct an initial model of the biodegradation rate of the filter rod under a hypothetical state based on the principle of carbon element conversion. The hypothetical state is used to assume that the degradation rate of each organic component in the filter rod is constant.

[0079] Optimization module 202 is used to optimize the initial model of biodegradation rate according to the actual segmented degradation principle and the preset fitting objective function to obtain a segmented model of biodegradation rate.

[0080] The determination module 203 is used to determine the target biodegradation rate curve model corresponding to the target filter rod based on the biodegradation rate segmentation model.

[0081] In one possible implementation, the conversion module 201 is specifically used for:

[0082] A model for calculating the carbon content of a filter rod at any given moment based on the principle of carbon element conversion;

[0083] The initial model for the biodegradation rate of the filter rod under the assumed conditions is determined based on the carbon content calculation model.

[0084] In one possible implementation, the optimization module 202 is specifically used for:

[0085] Based on the actual segmented degradation principle, the initial biodegradability model was optimized in the first stage to obtain the original segmented biodegradability model.

[0086] The original biodegradability segmented model is optimized in a second stage based on a preset fitting objective function to obtain a biodegradability segmented model.

[0087] In one possible implementation, the optimization module 202 is further configured to:

[0088] The preset degradation stages are determined based on the actual segmented degradation principle, and the preset degradation stages include a hysteresis period, a decomposition period, and a plateau period.

[0089] The target degradation rate for each degradation stage is determined based on the initial degradation rate and the degradation rate coefficients of each segment in the initial biodegradation rate model.

[0090] The initial biodegradation rate model is optimized based on the preset degradation stages and target degradation rates to obtain the original biodegradation rate segmented model.

[0091] In one possible implementation, the optimization module 202 is further configured to:

[0092] A fitting objective function is constructed based on the difference between the predicted biodegradation rate and the measured biodegradation rate.

[0093] Based on the fitted objective function, the target segment parameter set in the original biodegradation rate segmentation model is determined. The target segment parameter set includes each target segment time point and each segment degradation rate coefficient.

[0094] The biodegradability segmentation model is determined based on the target segmentation parameter set and the original biodegradability segmentation model.

[0095] In one possible implementation, the determining module 203 is specifically used for:

[0096] Determine the target type information of the target filter rod, and determine the target component information corresponding to the target type information based on the filter rod information database;

[0097] The target biodegradability curve model corresponding to the target filter rod is determined based on the biodegradability segmentation model and the target component information.

[0098] In one possible implementation, the determining module 203 is further configured to:

[0099] Determine the test fit between the target biodegradability curve and the measured biodegradability curve;

[0100] The degradation rate coefficients for each segment are updated based on the test fit.

[0101] Those skilled in the art will clearly understand that the technical solutions of the embodiments of this application can be implemented by means of software and / or hardware. In this application, "unit" and "module" refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, wherein the hardware may be, for example, a field-programmable gate array (FPGA), an integrated circuit (IC), etc.

[0102] Each processing unit and / or module in the embodiments of this application can be implemented by an analog circuit that implements the functions described in the embodiments of this application, or by software that executes the functions described in the embodiments of this application.

[0103] Please refer to the following. Figure 3 , Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.

[0104] like Figure 3 As shown, the electronic device 300 may include at least one device processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0105] The communication bus 302 can be used to realize the connection and communication of the above components.

[0106] The user interface 303 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0107] The network interface 304 may include, but is not limited to, Bluetooth modules, NFC modules, Wi-Fi modules, etc.

[0108] The device processor 301 may include one or more processing cores. The device processor 301 connects to various parts within the electronic device 300 using various interfaces and lines. It executes various functions and processes data of the electronic device 300 by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the device processor 301 may be implemented using at least one hardware form of DSP, FPGA, or PLA. The device processor 301 may integrate one or more of the following: CPU, GPU, and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the device processor 301 and may be implemented as a separate chip.

[0109] The memory 305 may include RAM or ROM. Optionally, the memory 305 may include a non-transitory computer-readable medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned device processor 301. Figure 3 As shown, the memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.

[0110] Specifically, the device processor 301 can be used to call the application for building the filter rod biodegradation rate curve model stored in the memory 305, and specifically perform the following operations:

[0111] An initial model of the biodegradation rate of the filter rod under hypothetical conditions is constructed based on the principle of carbon element conversion. The hypothetical conditions are used to assume that the degradation rate of each organic component in the filter rod is constant.

[0112] The initial model of biodegradability is optimized based on the actual segmented degradation principle and the preset fitting objective function to obtain a segmented model of biodegradability.

[0113] The target biodegradability curve model corresponding to the target filter rod is determined based on the segmented biodegradability model.

[0114] As an optional embodiment of this application, the step of constructing an initial model of the biodegradation rate of the filter rod under assumed conditions based on the principle of carbon element conversion includes:

[0115] A model for calculating the carbon content of a filter rod at any given moment based on the principle of carbon element conversion;

[0116] The initial model for the biodegradation rate of the filter rod under the assumed conditions is determined based on the carbon content calculation model.

[0117] As an optional embodiment of this application, the step of optimizing the initial biodegradation rate model based on the actual segmented degradation principle and a preset fitting objective function to obtain a segmented biodegradation rate model includes:

[0118] Based on the actual segmented degradation principle, the initial biodegradability model was optimized in the first stage to obtain the original segmented biodegradability model.

[0119] The original biodegradability segmented model is optimized in a second stage based on a preset fitting objective function to obtain a biodegradability segmented model.

[0120] As an optional embodiment of this application, the step of performing a first-level optimization on the initial biodegradability model based on the actual segmented degradation principle to obtain the original segmented biodegradability model includes:

[0121] The preset degradation stages are determined based on the actual segmented degradation principle, and the preset degradation stages include a hysteresis period, a decomposition period, and a plateau period.

[0122] The target degradation rate for each degradation stage is determined based on the initial degradation rate and the degradation rate coefficients of each segment in the initial biodegradation rate model.

[0123] The initial biodegradation rate model is optimized based on the preset degradation stages and target degradation rates to obtain the original biodegradation rate segmented model.

[0124] As an optional embodiment of this application, the second-level optimization of the original biodegradability segmented model based on a preset fitting objective function to obtain the biodegradability segmented model includes:

[0125] A fitting objective function is constructed based on the difference between the predicted biodegradation rate and the measured biodegradation rate.

[0126] Based on the fitted objective function, the target segment parameter set in the original biodegradation rate segmentation model is determined. The target segment parameter set includes each target segment time point and each segment degradation rate coefficient.

[0127] The biodegradability segmentation model is determined based on the target segmentation parameter set and the original biodegradability segmentation model.

[0128] As an optional embodiment of this application, the step of determining the target biodegradability curve model corresponding to the target filter rod according to the biodegradability segmentation model includes:

[0129] Determine the target type information of the target filter rod, and determine the target component information corresponding to the target type information based on the filter rod information database;

[0130] The target biodegradability curve model corresponding to the target filter rod is determined based on the biodegradability segmentation model and the target component information.

[0131] As an optional embodiment of this application, the method further includes:

[0132] Determine the test fit between the target biodegradability curve and the measured biodegradability curve;

[0133] The degradation rate coefficients for each segment are updated based on the test fit.

[0134] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0135] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0136] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0138] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0139] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0140] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0141] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0142] The foregoing has described specific embodiments of this application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method of constructing a model of a filter rod biodegradation rate curve, characterized by, The method includes: An initial model of the biodegradation rate of the filter rod under hypothetical conditions is constructed based on the principle of carbon element conversion. The hypothetical conditions are used to assume that the degradation rate of each organic component in the filter rod is constant. The initial model of biodegradability is optimized based on the actual segmented degradation principle and the preset fitting objective function to obtain a segmented model of biodegradability. The target biodegradability curve model corresponding to the target filter rod is determined based on the segmented biodegradability model.

2. The method according to claim 1, characterized in that, The initial model for the biodegradation rate of the filter rod under assumed conditions, based on the principle of carbon element conversion, includes: A model for calculating the carbon content of a filter rod at any given moment based on the principle of carbon element conversion; The initial model for the biodegradation rate of the filter rod under the assumed conditions is determined based on the carbon content calculation model.

3. The method according to claim 1, characterized in that, The optimization of the initial biodegradation rate model based on the actual segmented degradation principle and a preset fitting objective function to obtain a segmented biodegradation rate model includes: Based on the actual segmented degradation principle, the initial biodegradability model was optimized in the first stage to obtain the original segmented biodegradability model. The original biodegradability segmented model is optimized in a second stage based on a preset fitting objective function to obtain a biodegradability segmented model.

4. The method according to claim 3, characterized in that, The first-level optimization of the initial biodegradability model based on the actual segmented degradation principle yields the original segmented biodegradability model, including: The preset degradation stages are determined based on the actual segmented degradation principle, and the preset degradation stages include a hysteresis period, a decomposition period, and a plateau period. The target degradation rate for each degradation stage is determined based on the initial degradation rate and the degradation rate coefficients of each segment in the initial biodegradation rate model. The initial biodegradation rate model is optimized based on the preset degradation stages and target degradation rates to obtain the original biodegradation rate segmented model.

5. The method according to claim 4, characterized in that, The second-level optimization of the original biodegradability piecewise model based on a preset fitting objective function yields a biodegradability piecewise model, including: A fitting objective function is constructed based on the difference between the predicted biodegradation rate and the measured biodegradation rate. Based on the fitted objective function, the target segment parameter set in the original biodegradation rate segmentation model is determined. The target segment parameter set includes each target segment time point and each segment degradation rate coefficient. The biodegradability segmentation model is determined based on the target segmentation parameter set and the original biodegradability segmentation model.

6. The method according to claim 1, characterized in that, The step of determining the target biodegradability curve model corresponding to the target filter rod based on the biodegradability segmentation model includes: Determine the target type information of the target filter rod, and determine the target component information corresponding to the target type information based on the filter rod information database; The target biodegradability curve model corresponding to the target filter rod is determined based on the biodegradability segmentation model and the target component information.

7. The method according to claim 1, characterized in that, The method further includes: Determine the test fit between the target biodegradability curve and the measured biodegradability curve; The degradation rate coefficients for each segment are updated based on the test fit.

8. A device for constructing a biodegradation rate curve model for filter rods, characterized in that, The device includes: The conversion module is used to construct an initial model of the biodegradation rate of the filter rod under assumed conditions based on the principle of carbon element conversion. The assumed conditions are used to assume that the degradation rate of each organic component in the filter rod is constant. The optimization module is used to optimize the initial model of biodegradability based on the actual segmented degradation principle and the preset fitting objective function to obtain a segmented model of biodegradability. The determination module is used to determine the target biodegradability curve model corresponding to the target filter rod based on the biodegradability segmentation model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer or processor, cause the computer or processor to perform the steps of the method as described in any one of claims 1-7.

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