A method and apparatus for tobacco waste conversion and monitoring

Abstract

The application discloses a tobacco waste conversion and monitoring method and device, and relates to the technical field of data processing, which can efficiently realize tobacco waste conversion and monitoring and can be widely applied to the technical field of data processing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a tobacco waste conversion and monitoring method and device. BACKGROUND

[0002] With the increase of tobacco production, the amount of tobacco waste is also increasing. How to effectively convert the useful components in the tobacco waste and monitor the pollution of the tobacco waste has become an important problem. The traditional way of processing tobacco waste is mainly landfill. The butts in the tobacco waste will release nicotine and pollute the environment during the landfill process. Therefore, the nicotine in the butts needs to be treated. The nicotine in the butts has economic value and can be recycled after extraction. The traditional butt recycling relies on manual sorting, which is low in efficiency and has adverse effects on the health of the sorting personnel. The nicotine in the butts will pollute the environment. Different types of butts are mixed together for processing, and cannot be processed differently according to the nicotine content in different types of cigarette butts. In addition, using a single method to extract nicotine from butts is low in efficiency. It is difficult for the traditional way to balance environmental protection and economic benefits in the processing of butts. SUMMARY

[0003] The main purpose of the embodiments of the present application is to provide a tobacco waste conversion and monitoring method and device, so as to solve at least one problem in the prior art. The present application can efficiently realize tobacco waste conversion and monitoring.

[0004] To achieve the above-mentioned purpose, one aspect of an embodiment of the present application provides a tobacco waste conversion and monitoring method, which comprises:

[0005] Obtaining butt recycling data; the butt recycling data includes cigarette image data and statistical data of butt recycling amount and its corresponding attribute data; according to the statistical data of butt recycling amount, the butt recycling situation is analyzed;

[0006] Identifying the butts through the cigarette image data, separating the butts from other parts of the cigarette, and obtaining the butt image;

[0007] Judging the butt brand and the butt type corresponding to each butt through the identified butt image;

[0008] According to the butt type and its corresponding nicotine content, determining the nicotine recycling content and efficiency of each butt type;

[0009] According to the butt brand and the butt type, matching different nicotine extraction methods to obtain a target nicotine extraction method;

[0010] According to the butt recycling efficiency and the nicotine extraction efficiency corresponding to the target nicotine extraction method, obtaining an index of comprehensive evaluation to judge whether there is a link with nicotine extraction cost greater than benefit or pollution of the environment.

[0011] When the cost of nicotine extraction of a cigarette butt brand is greater than the benefit or there is environmental pollution, the cigarette butt of the corresponding cigarette butt brand is excluded from recycling;

[0012] A model is established to analyze the nicotine content and cost of cigarette butts after being processed at different stages, and to predict the best recycling process.

[0013] In some embodiments, according to the statistical data of the amount of cigarette butt recycling, the recycling situation of cigarette butts is analyzed, including the following steps:

[0014] Obtain attribute data corresponding to the statistical data of the amount of cigarette butt recycling; the attribute data includes recycling amount attribute, recycling point location attribute, seasonal attribute, and recycling method attribute;

[0015] According to the recycling amount attribute in the statistical data, the total amount of cigarette butt recycling is determined, and the daily, weekly, monthly, and annual amounts of cigarette butt recycling are determined. The recycling rates of each time period are compared and analyzed to obtain the trend and changes of cigarette butt recycling;

[0016] According to the recycling point location attribute, the amount of cigarette butt recycling in different regions or different recycling points is determined, and a geographic distribution map or a heat map is drawn to determine the distribution of cigarette butt recycling points;

[0017] According to the seasonal attribute in the statistical data, the seasonal distribution of cigarette butt recycling is determined; then the amount of cigarette butt recycling in each season is determined, and compared and analyzed to obtain the differences and changes of cigarette butt recycling in different seasons;

[0018] According to the recycling method attribute, the amount of recycling by different recycling methods is counted and compared and analyzed to determine the contribution of different recycling methods to cigarette butt recycling.

[0019] In some embodiments, cigarette butt recognition is performed through cigarette image data, and the cigarette butt and other parts of the cigarette are separated to obtain cigarette butt images, including the following steps:

[0020] The pixel distribution and density of the cigarette image data are analyzed to determine the cigarette butt region in the image as a cigarette butt candidate region;

[0021] In the cigarette butt candidate region, the image brightness and contrast are adjusted according to the light intensity and angle in the image;

[0022] The color contrast between the cigarette butt and other parts of the cigarette is obtained, and the image is binarized based on a threshold segmentation method;

[0023] The binarized image is processed using a Sobel operator to obtain the edge information of the cigarette butt;

[0024] Based on the edge information, the texture and surface features specific to the cigarette butt are extracted as the cigarette butt features;

[0025] According to the connectivity of the cigarette butt and other parts of the cigarette, the position of the cigarette butt is further determined using image connected region analysis; the spatial relationship and distance between the cigarette butt and other parts of the cigarette are analyzed, and objects similar in shape to the cigarette butt but not cigarette butts are screened out;

[0026] The final position of the cigarette butt is confirmed using template matching by comparing the candidate region of the cigarette butt with the cigarette butt features, and the separation of the cigarette butt from other parts of the cigarette is completed.

[0027] In some embodiments, the cigarette butt types include flue-cured tobacco and hybrid cigarettes; by identifying the obtained cigarette butt image, the cigarette butt brand and cigarette butt type corresponding to each cigarette butt are determined, including the following steps:

[0028] The input cigarette butt image is preprocessed; the preprocessing includes image denoising, grayscale conversion, and edge detection;

[0029] The logo, trademark, or text information on the preprocessed cigarette butt image is separated from the background by image segmentation and HOG feature extraction, and the identification features are extracted;

[0030] The extracted identification features are compared with a database of known brands, and HOG feature extraction is used to determine the cigarette butt brand corresponding to the cigarette to which the cigarette butt belongs;

[0031] According to the shape of the cigarette and the identification features on the cigarette butt image, the HOG feature extraction and K-mean algorithm are used to determine whether the cigarette butt type is flue-cured tobacco or hybrid cigarette.

[0032] In some embodiments, the cigarette butt recycling data also includes sample detection results of the cigarette butt, and the sample detection results include the nicotine content corresponding to the cigarette butt; according to the cigarette butt type and its corresponding nicotine content, the nicotine recovery content and efficiency of each cigarette butt type are determined, including the following steps:

[0033] Based on the classified cigarette butt types, a comparison table of cigarette butt types and their nicotine contents is formed according to the sample detection results of the cigarette butt;

[0034] The specific processing efficiency parameters are obtained through the specifications of the nicotine extraction equipment; the efficiency of the equipment under different environmental conditions is analyzed, and the best recycling environmental conditions are determined; the actual nicotine content recovered is corrected according to the error range of the nicotine content measurement tool GC-FID;

[0035] Based on the comparison table, the sample data collected are analyzed to determine the average nicotine recovery amount of each cigarette butt type.

[0036] In some embodiments, according to the cigarette brand and cigarette category, different nicotine extraction methods are matched to obtain a target nicotine extraction method, including the following steps:

[0037] According to the identification of the diversity of cigarette brands and cigarette categories, a database of cigarette brands and cigarette categories is obtained;

[0038] The data in the database is grouped using the K-means algorithm; by analyzing the nicotine concentration data of different cigarette brands, it is determined which brands or categories of cigarettes have nicotine concentration higher than the preset concentration;

[0039] Based on the structural difference data of cigarette material composition and the cigarette brand and cigarette category, the nicotine extraction method is screened out;

[0040] According to the correlation data of cigarette material composition and extraction efficiency, the best nicotine extraction method is determined as the target nicotine extraction method; including the following operations:

[0041] Adjust the extraction conditions of the determined nicotine extraction method, including the extraction solvent, extraction time and extraction temperature, to ensure the maximum extraction efficiency; through economic evaluation of the nicotine extraction method, the most cost-effective extraction method is determined; according to the nicotine concentration standardization evaluation of cigarette brand and category, the data is corrected and improved; also including: evaluating the cost and economic benefit of each nicotine extraction method to determine the best nicotine extraction method.

[0042] In some embodiments, according to the target nicotine extraction method corresponding to the cigarette recycling efficiency and nicotine extraction efficiency, a comprehensive evaluation index is obtained to determine whether there is a nicotine extraction cost greater than the benefit or a pollution environment link, including the following steps:

[0043] Based on the concentration distribution of various chemical components in the target nicotine extraction method corresponding to the cigarette recycling process, PCA is used to analyze the cigarette components to identify key components;

[0044] Through the feasibility and stability analysis of the target nicotine extraction method, the extraction method is optimized; including the following operations:

[0045] According to the change of microbial population distribution in the environmental impact analysis, the long-term impact of cigarette recycling and processing on the ecosystem is determined;

[0046] Through the environmental toxicity analysis of the generated waste and raw materials, the waste treatment scheme is determined;

[0047] The supply chain cost of cigarette recycling and processing is calculated to obtain the correlation analysis of cost and recycling efficiency;

[0048] According to the analysis of the influence of the physical structure of the cigarette butt on the extraction efficiency, a linear regression algorithm is used to predict the extraction efficiency;

[0049] If the purity of the extracted nicotine is low or the downstream application suitability is poor, the extraction parameters are adjusted; by analyzing the external impurities that may be introduced during the extraction process, a strategy to reduce impurities is determined; if the greenhouse gas emissions generated during the recovery and extraction process exceed the standard, the processing strategy is adjusted to reduce emissions based on the prediction results of the linear regression algorithm; the decision tree algorithm is used to optimize the recovery process of nicotine in the cigarette butt to remove or optimize the links with cost greater than benefit or environmental pollution.

[0050] In some embodiments, when the cost of extracting nicotine from a cigarette brand is greater than the benefit or there is environmental pollution, the cigarette brand is excluded from the cigarette recovery process, including the following steps:

[0051] By evaluating the cost of extracting nicotine from each cigarette brand, the resource and labor costs required during the collection, processing and extraction process are obtained;

[0052] Evaluate the economic benefits of nicotine extraction, including sales revenue and profit, to determine the benefits of nicotine extraction;

[0053] Evaluate the environmental pollution caused by the nicotine extraction process of the brand, and then determine the environmental pollution in the nicotine extraction process;

[0054] By comparing the resource and labor costs, economic benefits and environmental pollution of nicotine extraction, when the cost of extracting nicotine from any cigarette brand is greater than the benefit or there is environmental pollution, it is determined to exclude the cigarette brand from the cigarette recovery process, otherwise the cigarette brand continues to be recovered.

[0055] In some embodiments, a model is established to analyze the nicotine content and cost of the cigarette after different processing steps, and to predict the best recovery process, including the following steps:

[0056] According to the characteristic data of different cigarette brands and cigarette types, the material data of the cigarette is obtained; the characteristic data includes size, shape and material properties;

[0057] Different nicotine extraction methods are used to obtain the nicotine extraction efficiency under different nicotine extraction methods; the nicotine extraction methods include solvent extraction and supercritical fluid extraction;

[0058] Different extraction conditions are set for various nicotine extraction methods to obtain nicotine extraction efficiency data under different extraction conditions and the time required for each processing step; the extraction conditions include temperature, pressure and time parameters;

[0059] The initial nicotine content of the cigarette butt before passing through different processing links is determined by sampling detection;

[0060] The change of the nicotine content in the cigarette butt is obtained through various processing links, including biodegradation, dissolution, filtration and concentration, and the time required for each processing link is obtained;

[0061] The equipment, materials and energy cost required for each processing link are evaluated to determine the processing cost; and the benefit of the comprehensive time and cost is determined to evaluate the cost-benefit of each processing link;

[0062] A cigarette butt nicotine recovery model is established according to the mapping relationship between the characteristic data, different nicotine extraction methods, extraction conditions, and the initial nicotine content and the attribute of the processing link, and the nicotine content after processing, the expected processing cost and the optimal recovery process are predicted through the cigarette butt nicotine recovery model; the attribute of the processing link includes the time and cost-benefit required for each processing link.

[0063] To achieve the above object, another aspect of the embodiment of the present application proposes a tobacco waste conversion and monitoring device, which comprises:

[0064] The first module is used for obtaining cigarette butt recovery data; the cigarette butt recovery data includes cigarette image data and statistical data of the cigarette butt recovery amount and its corresponding attribute data; the cigarette butt recovery situation is analyzed according to the statistical data of the cigarette butt recovery amount;

[0065] The second module is used for identifying the cigarette butt through the cigarette image data, separating the cigarette butt from other parts of the cigarette, and obtaining the cigarette butt image;

[0066] The third module is used for judging the cigarette butt brand and the cigarette butt type corresponding to each cigarette butt through the identified cigarette butt image;

[0067] The fourth module is used for determining the nicotine recovery content and efficiency of each cigarette butt type according to the cigarette butt type and its corresponding nicotine content;

[0068] The fifth module is used for matching different nicotine extraction methods according to the cigarette butt brand and the cigarette butt type to obtain a target nicotine extraction method;

[0069] The sixth module is used for obtaining a comprehensive evaluation index according to the cigarette butt recovery efficiency and the nicotine extraction efficiency corresponding to the target nicotine extraction method, and judging whether there is a processing link with nicotine extraction cost greater than benefit or environmental pollution;

[0070] The seventh module is used for excluding the recovery of the cigarette butt of the corresponding cigarette butt brand when the nicotine extraction cost of the cigarette butt brand is greater than the benefit or there is environmental pollution;

[0071] The eighth module is configured to establish a model to analyze the nicotine content and cost of the cigarette butt after being processed by different links, and to predict the optimal recycling process.

[0072] To achieve the above object, another aspect of the embodiment of the present application provides an electronic device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the above method when executing the computer program.

[0073] To achieve the above object, another aspect of the embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above method.

[0074] The embodiment of the present application at least has the following beneficial effects: the present application provides a tobacco waste conversion and monitoring method and device, the scheme obtains cigarette butt recycling data; the cigarette butt recycling data includes cigarette image data and statistical data of cigarette butt recycling quantity and corresponding attribute data; the cigarette butt recycling situation is analyzed according to the statistical data of cigarette butt recycling quantity; cigarette butt identification is performed through the cigarette image data, the cigarette butt and other parts of the cigarette are separated, and a cigarette butt image is obtained; the cigarette butt brand and cigarette butt type corresponding to each cigarette butt are judged through the identified cigarette butt image; the nicotine recycling content and efficiency of each cigarette butt type are determined according to the cigarette butt type and the corresponding nicotine content; the different nicotine extraction methods are matched according to the cigarette butt brand and the cigarette butt type, and the target nicotine extraction method is obtained; the comprehensive evaluation index is obtained according to the cigarette butt recycling efficiency and the nicotine extraction efficiency corresponding to the target nicotine extraction method, and it is judged whether there is a link with nicotine extraction cost greater than the benefit or environmental pollution; when the nicotine extraction cost of the cigarette butt brand is greater than the benefit or there is environmental pollution, the cigarette butt recycling of the corresponding cigarette butt brand is excluded; a model is established to analyze the nicotine content and cost of the cigarette butt after being processed by different links, and the optimal recycling process is predicted. Through the processing of the cigarette image data, the automatic identification and separation of the cigarette butt are realized, the cigarette butt brand and the corresponding cigarette type are judged through the identification of the cigarette butt image, the nicotine recycling content and efficiency of various cigarette butts are calculated according to the cigarette butt type and the nicotine content, and the most efficient nicotine extraction method is selected. The cigarette butt recycling efficiency and the nicotine extraction efficiency are comprehensively considered for comprehensive evaluation, and it is judged whether there is a link with cost greater than benefit or environmental pollution. When the nicotine extraction cost of some cigarette brands is greater than the benefit or there is environmental pollution, the cigarette butt recycling of these brands is excluded. Finally, a model is established to analyze the nicotine content and cost of the cigarette butt after being processed by different links, so as to predict the optimal recycling process, so as to realize the whole process analysis and optimization processing of cigarette recycling. BRIEF DESCRIPTION OF DRAWINGS

[0075] Figure 1is a flow chart of the tobacco waste conversion and monitoring method provided by the embodiment of the present application;

[0076] Figure 2 is a general flow chart of the tobacco waste conversion and monitoring method provided by the embodiment of the present application;

[0077] Figure 3 is an expanded flow chart of the nicotine extraction method according to the brand and type of the cigarette butt provided by the embodiment of the present application;

[0078] Figure 4 is an expanded flow chart of the model establishment for analyzing the cigarette butt to predict the optimal recycling process provided by the embodiment of the present application;

[0079] Figure 5 is a structural schematic diagram of the tobacco waste conversion and monitoring device provided by the embodiment of the present application;

[0080] Figure 6 is a hardware structural schematic diagram of the electronic device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0081] In order to make the objects, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementation described in the following exemplary embodiments does not represent all the implementations consistent with the embodiments of the present application, but is only an example of devices and methods consistent with some aspects of the embodiments of the present application as described in the appended claims.

[0082] It can be understood that the terms "first", "second", and the like used in the present application can be used in the present application to describe various concepts, but unless specifically stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "when" or "when" or "in response to determining".

[0083] The terms "at least one", "multiple", "each", "any" and the like used in the present application include one, two or more than two, multiple includes two or more than two, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0084] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the application herein is for describing particular embodiments only and is not intended to be limiting of the application. As used in this application the singular forms "a," "an," and "the" include plural reference unless the context clearly dictates otherwise.

[0085] The tobacco waste conversion and monitoring method provided by the embodiments of the present application relates to the technical field of data processing. The tobacco waste conversion and monitoring method provided by the embodiments of the present application can be applied to a terminal, can be applied to a server, and can also be software running in the terminal or the server. In some embodiments, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, a vehicle-mounted terminal, and the like, but is not limited thereto; the server end can be configured as a stand-alone physical server, can be configured as a server cluster or a distributed system formed by multiple physical servers, can be configured as a cloud server providing basic cloud computing services such as cloud service, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and big data and artificial intelligence platform, and the server can also be a node server in a blockchain network; and the software can be an application for implementing the tobacco waste conversion and monitoring method, and the like, but is not limited to the above forms.

[0086] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in a distributed computing environment, in which tasks are performed by remote processing devices connected by a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0087] Figure 1 is an optional flowchart of the tobacco waste conversion and monitoring method provided by the embodiments of the present application, Figure 1 The method in can include but is not limited to including steps S100 to S800.

[0088] S100, obtaining a cigarette butt recycling data; analyzing the cigarette butt recycling situation according to the statistical data of the cigarette butt recycling amount;

[0089] The cigarette butt recycling data includes cigarette image data and statistical data of the cigarette butt recycling amount and corresponding attribute data of the statistical data.

[0090] It should be noted that in some embodiments, according to the statistical data of the cigarette butt recycling amount, the analysis of the cigarette butt recycling situation can include the following steps: obtaining attribute data corresponding to the statistical data of the cigarette butt recycling amount; the attribute data includes recycling amount attribute, recycling point location attribute, seasonal attribute and recycling method attribute; according to the recycling amount attribute in the statistical data, the total amount of cigarette butt recycling is determined, and the cigarette butt recycling amount per day, per week, per month and per year is determined, the cigarette butt recycling rate of each time period is compared and analyzed to obtain the trend and change of cigarette butt recycling; according to the recycling point location attribute, the cigarette butt recycling amount of different regions or different recycling points is determined, and a geographic distribution map or a heat map is drawn to determine the distribution of the cigarette butt recycling points; according to the seasonal attribute in the statistical data, the seasonal distribution of the cigarette butt recycling is determined; then the cigarette butt recycling amount of each season is determined and compared and analyzed to obtain the difference and change of the cigarette butt recycling in different seasons; according to the recycling method attribute, the recycling amount of different recycling methods is counted and compared and analyzed to determine the contribution degree of different recycling methods to the cigarette butt recycling.

[0091] S200, identifying the cigarette butt through the cigarette image data to separate the cigarette butt from other parts of the cigarette to obtain a cigarette butt image;

[0092] It should be noted that in some embodiments, step S200 can include the following steps: analyzing the cigarette butt region in the image as a cigarette butt candidate region through the pixel distribution and density of the cigarette image data; adjusting the image brightness and contrast according to the light intensity and angle in the image in the cigarette butt candidate region; obtaining the color contrast between the cigarette butt and other parts of the cigarette, and performing image binarization based on a threshold segmentation method; processing the binarized image using a Sobel operator to obtain edge information of the cigarette butt; based on the edge information, extracting the texture and surface features specific to the cigarette butt as cigarette butt features; using image connected region analysis to further determine the position of the cigarette butt according to the connectivity of the cigarette butt and other parts of the cigarette; analyzing the spatial relationship and distance between the cigarette butt and other parts of the cigarette to screen out objects similar in shape to the cigarette butt but not the cigarette butt; comparing the cigarette butt candidate region with the cigarette butt features, using template matching to confirm the final position of the cigarette butt, and completing the separation of the cigarette butt from other parts of the cigarette.

[0093] S300, judging the cigarette butt brand and the cigarette butt type corresponding to each cigarette butt through the identified cigarette butt image;

[0094] The cigarette butt brand is the brand corresponding to the cigarette to which the cigarette butt belongs, and the cigarette butt type is the type corresponding to the cigarette to which the cigarette butt belongs.

[0095] It should be noted that the cigarette butt category includes flue-cured tobacco and mixed cigarettes; in some embodiments, step S300 can include the following steps: pre-processing the input cigarette butt image; the pre-processing includes image denoising, grayscale and edge detection; through image segmentation and HOG feature extraction, the logo and trademark or text information on the pre-processed cigarette butt image are separated from the background and the identification features are extracted; the extracted identification features are compared with the database of known brands, HOG feature extraction is used to determine the cigarette butt brand corresponding to the cigarette butt of the cigarette; according to the shape of the cigarette on the cigarette butt image and the identification features, the HOG feature extraction and K-mean algorithm are used to determine whether the cigarette butt category is flue-cured tobacco or mixed cigarettes.

[0096] S400, according to the cigarette butt category and its corresponding nicotine content, determine the nicotine recovery content and efficiency of each cigarette butt category;

[0097] It should be noted that the cigarette butt recovery data also includes the sampling detection results of the cigarette butt, and the sampling detection results include the nicotine content corresponding to the cigarette butt; in some embodiments, step S400 can include the following steps: based on the classified cigarette butt category, the sampling detection results of the cigarette butt are sorted to form a comparison table of the cigarette butt category and its nicotine content; through the specification of the nicotine extraction equipment, the specific processing efficiency parameters are obtained; analyze the equipment efficiency under different environmental conditions, and determine the best recovery environmental condition; according to the error range of the nicotine content measuring tool GC-FID, correct the actual recovered nicotine content; based on the comparison table, analyze the collected sample data to determine the average nicotine recovery amount of each cigarette butt category.

[0098] S500, according to the cigarette butt brand and the cigarette butt category, match different nicotine extraction methods to obtain the target nicotine extraction method;

[0099] It should be noted that in some embodiments, step S500 can include the following steps: obtaining a database of cigarette brand and cigarette type according to the diversity identification of cigarette brand and cigarette type; grouping the data of the database using the K-means algorithm; determining which brand or type of cigarette has nicotine with a concentration higher than a preset concentration through the nicotine concentration data of the cigarette of different cigarette brands; screening the nicotine extraction method based on the structural difference data of the cigarette material composition and the cigarette brand and the cigarette type; determining the best nicotine extraction method as the target nicotine extraction method according to the correlation data of the cigarette material composition and the extraction efficiency; specifically including the following operations: adjusting the extraction conditions of the determined nicotine extraction method, including the extraction solvent, the extraction time and the extraction temperature, to ensure the maximum extraction efficiency; determining the most cost-effective extraction method through the economic evaluation of the nicotine extraction method; correcting and improving the data according to the standardized evaluation of the nicotine concentration of the cigarette brand and type; and further including: evaluating the cost and economic benefit of each nicotine extraction method to determine the best nicotine extraction method.

[0100] S600, according to the cigarette recycling efficiency and nicotine extraction efficiency corresponding to the target nicotine extraction method, obtaining a comprehensive evaluation index to determine whether there is a nicotine extraction cost greater than the benefit or a pollution environment link;

[0101] It should be noted that in some embodiments, step S600 can include the following steps: based on the concentration distribution of various chemical components in the cigarette recycling process corresponding to the target nicotine extraction method, using PCA to analyze the cigarette components to identify key components; optimizing the extraction method through feasibility and stability analysis of the target nicotine extraction method; specifically including the following operations: determining the long-term impact of cigarette recycling and processing on the ecological system according to the change of microbial population distribution in the environmental impact analysis; determining the waste treatment scheme through the generated environmental toxicity analysis of waste and raw materials; calculating the supply chain cost of cigarette recycling and processing to obtain the correlation analysis of cost and recycling efficiency; using linear regression algorithm to predict the extraction efficiency according to the influence analysis of the physical structure of the cigarette on the extraction efficiency; wherein, when the purity of the extracted nicotine is low or the downstream application applicability is poor, adjust the extraction parameters; determine the impurity reduction strategy through the analysis of external impurities that may be introduced in the extraction process; if the greenhouse gas emissions generated in the recycling and extraction process exceed the standard, adjust the treatment strategy according to the prediction result of the linear regression algorithm to reduce the emissions; use decision tree algorithm to optimize the recycling process of nicotine in the cigarette to remove or optimize the link with cost greater than benefit or environmental pollution.

[0102] S700, when the nicotine extraction cost of a cigarette brand is greater than the benefit or there is environmental pollution, excluding the cigarette recycling of the corresponding cigarette brand;

[0103] It should be noted that in some embodiments, step S700 can include the following steps: by evaluating the cost of extracting nicotine from each brand of cigarette butt, obtaining the cost of resources and labor required in the collection, processing and extraction process; evaluating the economic benefits brought by nicotine extraction, including sales revenue and profit, to determine the benefits of nicotine extraction; evaluating the pollution caused by the brand of cigarette butt nicotine extraction process, and then determining the environmental pollution in the nicotine extraction process; by comparing the resource and labor cost, economic benefit and environmental pollution of nicotine extraction, when the nicotine extraction cost of any brand of cigarette butt is greater than the benefit or there is environmental pollution, it is judged that the cigarette butt of this brand of cigarette butt is excluded from recycling, otherwise the cigarette butt of this brand of cigarette butt is continued to be recycled.

[0104] S800, a model is established to analyze the nicotine content and cost of cigarette butts after being processed at different links, and the best recycling process is predicted.

[0105] It should be noted that in some embodiments, step S800 can include the following steps: obtaining material data of cigarette butts according to characteristic data of different brands and types of cigarette butts; the characteristic data includes size, shape and material properties; different nicotine extraction methods are used to obtain nicotine extraction efficiency under different nicotine extraction methods; the nicotine extraction method includes solvent extraction and supercritical fluid extraction; different extraction conditions are set for various nicotine extraction methods to obtain nicotine extraction efficiency data under different extraction conditions and the time required for each processing link; the extraction conditions include temperature, pressure and time parameters; the initial nicotine content of the cigarette butt before being processed at different processing links is determined by sampling detection; the nicotine content in the cigarette butt is obtained by each processing link, including biodegradation, dissolution, filtration and concentration, and the time required for each processing link is obtained; the cost of equipment, materials and energy required for each processing link is evaluated to determine the processing cost; the benefit of the comprehensive time and cost is determined to evaluate the cost-benefit of each processing link; a cigarette butt nicotine recycling model is established according to the mapping relationship between the characteristic data, different nicotine extraction methods, extraction conditions, initial nicotine content and processing link attributes, and the nicotine content after processing and the expected processing cost and the best recycling process are predicted through the cigarette butt nicotine recycling model; the processing link attributes include the time and cost-benefit required for each processing link.

[0106] To explain the principle of the technical scheme of the present application in detail, the overall process of the present application will be described below in conjunction with some specific embodiments. It should be easily understood that the following is an explanation of the technical principle of the present application and cannot be regarded as a limitation of the present application.

[0107] In view of the related shortcomings of the prior art, the present application provides a tobacco waste conversion and monitoring method, such as Figure 2As shown, the method of the present application can specifically include the following steps S101 to S108 (corresponding to the aforementioned steps S100 to S800 in sequence):

[0108] In step S101, according to the statistical data of the amount of cigarette butt recycling, the cigarette butt recycling situation is analyzed. In some specific application scenarios, the following can be achieved:

[0109] The relevant attributes of the cigarette butt recycling data are obtained, including the amount of recycling, the location of the recycling point, the seasonality, and the recycling method. According to the recycling amount attribute in the statistical data, the total amount of cigarette butt recycling is determined. The daily, weekly, monthly, and annual cigarette butt recycling amounts are calculated, compared and analyzed to obtain the trend and changes of cigarette butt recycling. By calculating the recycling amounts of different regions or different recycling points, and drawing a geographical distribution map or a heat map, the distribution of cigarette butt recycling points is determined. According to the time attribute in the statistical data, the seasonal distribution of cigarette butt recycling is determined. By calculating the amount of cigarette butt recycling in each season and comparing and analyzing, the differences and changes of cigarette butt recycling in different seasons are obtained. By counting the recycling amounts of different recycling methods and comparing and analyzing, the contribution degree of different recycling methods to cigarette butt recycling is determined. For example, there is a cigarette butt recycling project, and the statistical data shows that the recycling amount attribute is 1000 cigarette butts per day. The weekly cigarette butt recycling amount is calculated as 1000*7=7000 cigarette butts, the monthly recycling amount is 1000*30=30000 cigarette butts, and the annual recycling amount is 1000*365=365000 cigarette butts. In order to compare and analyze the trend and changes of cigarette butt recycling, the daily, weekly, monthly, and annual recycling amounts can be compared. According to the statistical data, the monthly cigarette butt recycling amount in a certain city is calculated as follows: 1000 cigarette butts in January, 1200 cigarette butts in February, 900 cigarette butts in March, and 1500 cigarette butts in April. It can be seen that the recycling amount in April is higher, which may be because the activities or publicity effect in this month are better, attracting more people to participate in recycling, while the recycling amount in March is lower, which may be due to seasonal changes or other factors causing people's participation to decrease. In addition, a geographical distribution map or a heat map can be drawn according to the recycling amounts of different regions or different recycling points to determine the distribution of cigarette butt recycling points. It is found that the recycling points in a certain city are concentrated in the city center, while there are fewer in the suburbs, which can provide guidance for relevant departments to increase the arrangement of recycling points. According to the time attribute in the statistical data, the seasonality of cigarette butt recycling can be determined. By calculating the amount of cigarette butt recycling in each season and comparing and analyzing, it is found that the amount of cigarette butt recycling in summer is higher, while the amount of recycling in winter is lower, which may be related to the increase of outdoor activities and the warming of the weather. By counting the recycling amounts of different recycling methods, the contribution degree of different recycling methods to cigarette butt recycling can be determined. The recycling amount of recycling boxes is 500 cigarette butts, while the recycling amount of community activities is 300 cigarette butts, which means that recycling boxes contribute more to cigarette butt recycling.

[0110] In step S102, the cigarette butts are automatically identified and separated from other parts of the cigarette through image data of the cigarette. In some specific application scenarios, the following can be implemented:

[0111] The pixel distribution and density of the cigarette image data are analyzed to determine possible cigarette butt regions in the image, providing possible cigarette butt candidate regions for subsequent processing. In the determined possible cigarette butt candidate regions, the image brightness and contrast are adjusted according to the illumination intensity and angle in the image. The color contrast between the cigarette butt and other parts of the cigarette is obtained, and the image is binarized based on a threshold segmentation method to make the cigarette butt and the background significantly different. The Sobel operator is used to process the binarized image to obtain the edge information of the cigarette butt. Based on the edge information, the texture and surface features unique to the cigarette butt are extracted to provide a basis for cigarette butt identification. The position of the cigarette butt is further determined using image connected region analysis according to the connectivity between the cigarette butt and other parts of the cigarette. The spatial relationship and distance between the cigarette butt and other parts of the cigarette are analyzed to filter out objects similar to the cigarette butt but not cigarette butts. Template matching is used to confirm the final position of the cigarette butt by comparing the candidate region with known cigarette butt features, completing the separation of the cigarette butt from other parts of the cigarette. For example, through pixel distribution and density analysis of the cigarette image data, a possible cigarette butt candidate region is obtained in the image, which has a more concentrated pixel distribution and a higher pixel density. In this candidate region, the image brightness and contrast are adjusted by analyzing the illumination intensity and angle in the image to obtain an image with obvious cigarette butt features. Next, the color contrast between the cigarette butt and other parts of the cigarette is obtained. Through calculation, the color contrast between the cigarette butt and the background is 8. Based on this contrast value, the image can be binarized using threshold segmentation method to make the cigarette butt and the background significantly different. After obtaining the binarized image, the Sobel operator is used to process the image to obtain the edge information of the cigarette butt. Through the edge information, the texture and surface features unique to the cigarette butt can be extracted to provide a basis for cigarette butt identification. Next, image connected region analysis is used to further determine the position of the cigarette butt according to the connectivity between the cigarette butt and other parts of the cigarette. The analysis result shows that the cigarette butt is connected to other parts of the cigarette and is near the candidate region. After further analyzing the spatial relationship and distance between the cigarette butt and other parts of the cigarette, objects similar to the cigarette butt but not cigarette butts are filtered out. Through template matching technology, the candidate region is compared with known cigarette butt features, and the template matching result shows that the candidate region is highly matched with the cigarette butt features, confirming the final position of the cigarette butt.

[0112] In step S103, the brands of the cigarette butts and the corresponding cigarette types, including flue-cured tobacco and hybrid cigarettes, are determined through the image of the identified cigarette butt. In some specific application scenarios, the following can be implemented:

[0113] The input cigarette butt image is preprocessed, including image denoising, grayscale, and edge detection. The logo, trademark, or text information on the cigarette butt is separated from the background through image segmentation and HOG feature extraction. The extracted logo, trademark, or text information is compared with the database of known brands, and HOG feature extraction is used to determine the brand of the cigarette butt. According to the shape of the cigarette, the logo, or the text information on the cigarette butt, HOG feature extraction and K-means algorithm are used to determine the type of cigarette, whether it is a flue-cured tobacco or a hybrid cigarette. Through HOG feature extraction, the color, length, and texture attribute information of the cigarette butt are extracted and used as the basis for further determining the characteristics and properties of the cigarette butt. According to the identified cigarette butt image, the brand of the cigarette butt and the type of cigarette are determined, and the related attribute information of the cigarette butt is obtained. For example, a cigarette butt image is preprocessed and its feature information is extracted. Gaussian blur is used to denoise the image to obtain a denoised image. The denoised image is grayscale processed to convert it into a grayscale image. The Canny operator is used to perform edge detection on the grayscale image, and the edge image is segmented to separate the logo, trademark, or text information on the cigarette butt from the background. Then, the HOG feature extraction algorithm is used to extract the features of the logo region, obtaining a feature with a 128-dimensional feature vector. Next, the extracted features are compared with the database of known brands to find the most similar brand. In the database, a brand is found that is most similar to the extracted features, and HOG feature extraction and K-means algorithm are used to determine the type of cigarette butt. The shape features of the cigarette butt are extracted, and the K-means algorithm is used to divide them into two categories, including flue-cured tobacco and hybrid cigarettes. Then, the HOG feature extraction algorithm is used to extract the color, length, and texture attribute information of the cigarette butt, obtaining a feature with a 256-dimensional feature vector. Finally, according to the identified cigarette butt image and the classification determination, the brand of the cigarette butt and the type of cigarette are determined, and the related attribute information of the cigarette butt is obtained. According to the above steps, after processing and feature extraction of a cigarette butt image, the results are as follows: the extracted logo features are most similar to a certain brand in the known brand database, which is A brand. According to the shape features of the cigarette butt and the K-means algorithm, it is determined that the cigarette butt belongs to flue-cured tobacco. The extracted color features of the cigarette butt are red, the length features are 10 cm, and the texture features are fine. Therefore, according to the identified cigarette butt image, it can be determined that the cigarette butt belongs to A brand of flue-cured tobacco, and has red color, 10 cm length, and fine texture attributes.

[0114] Step S104, according to the type of cigarette butt and the nicotine content therein, the nicotine recovery content and efficiency of each type of cigarette butt are calculated. In some specific application scenarios, the following can be achieved:

[0115] The collected cigarette butts are sampled and detected according to categories, and a control table of cigarette butt categories and their nicotine content is formed. The specific processing efficiency parameters are obtained according to the instructions of the nicotine extraction equipment. The efficiency of the equipment under different environmental conditions is analyzed, and the best recovery environmental conditions are determined. According to the error range of the nicotine content measurement tool GC-FID, the actual nicotine content recovered is corrected. The collected sample data is analyzed to determine the average nicotine recovery of each cigarette butt category, and optimization suggestions are provided for nicotine recovery work. For example, the collected cigarette butts are divided into three categories, A, B, and C. These cigarette butts are sampled and detected, and the processing efficiency parameters are obtained according to the instructions of the nicotine extraction equipment. 100 cigarette butts are randomly selected for detection, and the following results are obtained: category A, 40 cigarette butts, average nicotine content 5 mg, category B, 30 cigarette butts, average nicotine content 3 mg, category C, 30 cigarette butts, average nicotine content 2 mg. According to the instructions of the nicotine extraction equipment, the processing efficiency parameter is 80%, that is, the equipment can recover 80% of the nicotine from the cigarette butts. Then, the efficiency of the equipment is evaluated according to the specific environmental conditions including temperature and humidity. In an environment with a temperature of 25 degrees Celsius and a humidity of 50%, the efficiency of the equipment is 75%. In an environment with a temperature of 30 degrees Celsius and a humidity of 60%, the efficiency of the equipment is 85%. According to the error range of the nicotine content measurement tool GC-FID, the error is ±0.5 mg, that is, the maximum allowable difference between the actual measurement value and the true value is 0.5 mg. According to the above data, the average nicotine recovery of each cigarette butt category can be calculated as follows: the average nicotine recovery of category A = 40*5*80%*75% = 12 mg, the average nicotine recovery of category B = 30*3*80%*75% = 4 mg, the average nicotine recovery of category C = 30*2*80%*85% = 8 mg. According to the above analysis results, the following optimization suggestions can be obtained: for category A cigarette butts, the nicotine recovery is high, and more attention and investment can be given to the recovery work. For categories B and C cigarette butts, the nicotine recovery is low, and the recovery equipment or the recovery environmental conditions can be optimized to improve the recovery efficiency.

[0116] Step S105, according to the cigarette brand and category, change different nicotine extraction methods to obtain the most efficient nicotine extraction method. As shown in Figure 3 , the following can be achieved:

[0117] According to the diversity of cigarette brand and category recognition, obtain the brand and category database. Use K-means algorithm to group brands and categories. By different brand cigarette nicotine concentration data, judge which brand or category of cigarette has nicotine higher than the preset concentration. Based on the structural difference data of cigarette material composition and the brand and category of cigarette, screen out the nicotine extraction method. According to the correlation data of cigarette material composition and extraction efficiency, determine the best nicotine extraction method. Adjust the extraction conditions of the determined nicotine extraction method, including extraction solvent, extraction time and extraction temperature, to ensure the maximum extraction efficiency. Through the economic evaluation of nicotine extraction method, determine the most cost-effective extraction method. According to the standardized evaluation of nicotine concentration of cigarette brand and category, correct and improve the data. For example, there are brand A and brand B cigarettes, the composition of brand A contains 40% nicotine, 30% nicotine and 30% other components, while the composition of brand B contains 50% nicotine, 20% nicotine and 30% other components. By understanding the composition of each cigarette, the applicability of the extraction method can be determined. Secondly, according to different cigarette brands and categories, different nicotine extraction methods are adopted. For brand A, direct chemical treatment method is selected. Ethanol is used as the solvent, and the cigarette is mixed with ethanol, and through appropriate reaction conditions such as temperature and time, nicotine is extracted. For brand B, biological degradation followed by chemical treatment method can be selected. First, use enzymes or microorganisms to degrade the cigarette, decompose the organic matter into a more easily handled form, and then use chemical method to extract nicotine. For a special cigarette brand C, its structure is relatively hard and not easy to dissolve, so physical crushing followed by chemical treatment method is used. First, the cigarette is crushed into small particles through physical crushing, and then the nicotine is extracted by chemical method. This method requires additional equipment and energy, and a special crusher is used to crush the cigarette. When selecting the extraction method, the cost of different treatment methods also needs to be considered. For direct chemical treatment method, the cost of ethanol and other chemical reagents, as well as the energy consumption in the reaction process needs to be considered, for biological degradation followed by chemical treatment method, the cost of biological degradation technology and chemical reagents needs to be considered, for physical crushing followed by chemical treatment method, the investment and energy consumption of the crusher needs to be considered. Finally, by evaluating the economic benefits of various treatment methods, considering the extraction benefits of nicotine, the value of by-products and possible environmental and sustainability impacts, the most cost-effective method is selected.

[0118] Evaluate the cost and economic benefits of each nicotine extraction method to determine the best nicotine extraction method.

[0119] Specifically, according to the processing method of nicotine extraction from cigarette butts, there are three different processing methods: direct chemical extraction, biodegradation followed by chemical extraction, and physical crushing followed by chemical extraction. The economic benefits of these methods are evaluated, including extraction efficiency, cost, processing time, risk, and safety factors. For example, the direct chemical extraction method has an extraction efficiency of 5 milligrams per gram of cigarette butt, a chemical reagent cost of 2 yuan per gram, and an extraction time of 2 hours. The biodegradation followed by chemical extraction method has an extraction efficiency of 7 milligrams per gram of cigarette butt, a chemical reagent and enzyme cost of 3 yuan per gram, and an extraction time of 2 hours. The physical crushing followed by chemical extraction method has an extraction efficiency of 8 milligrams per gram of cigarette butt, a chemical reagent and crusher cost of 3 yuan per gram, and an extraction time of 3 hours. In addition, risk and safety factors need to be considered. The direct chemical extraction method may face the risk of chemical leakage, while the biodegradation followed by chemical extraction method may have less impact on the environment. Finally, the processing cost and safety need to be considered. According to the by-products or waste generated during the biodegradation or physical crushing process, the processing cost and safety can be evaluated. The biodegradation followed by chemical extraction method may generate some harmful waste that needs to be properly treated, while the physical crushing followed by chemical extraction method may generate less waste, with relatively higher processing cost and safety. By comprehensively evaluating the economic benefits of various methods, including extraction efficiency, cost, processing time, risk, and safety factors, the best economic benefit of nicotine extraction can be determined. According to the evaluation results, the biodegradation followed by chemical extraction method may perform well in terms of extraction efficiency and cost, but may have some problems in terms of processing time and safety. According to the processing method of nicotine extraction from cigarette butts, there are three different processing methods: direct chemical extraction, biodegradation followed by chemical extraction, and physical crushing followed by chemical extraction. The economic benefits of these methods are evaluated, including extraction efficiency, cost, processing time, risk, and safety factors. For example, the direct chemical extraction method has an extraction efficiency of 5 milligrams per gram of cigarette butt, a chemical reagent cost of 2 yuan per gram, and an extraction time of 2 hours. The biodegradation followed by chemical extraction method has an extraction efficiency of 7 milligrams per gram of cigarette butt, a chemical reagent and enzyme cost of 3 yuan per gram, and an extraction time of 2 hours. The physical crushing followed by chemical extraction method has an extraction efficiency of 8 milligrams per gram of cigarette butt, a chemical reagent and crusher cost of 3 yuan per gram, and an extraction time of 3 hours. In addition, risk and safety factors need to be considered. The direct chemical extraction method may face the risk of chemical leakage, while the biodegradation followed by chemical extraction method may have less impact on the environment. Finally, the processing cost and safety need to be considered. According to the by-products or waste generated during the biodegradation or physical crushing process, the processing cost and safety can be evaluated. The biodegradation followed by chemical extraction method may generate some harmful waste that needs to be properly treated, while the physical crushing followed by chemical extraction method may generate less waste, with relatively higher processing cost and safety.By comprehensively evaluating the economic benefits of various methods, including extraction efficiency, cost, processing time, risk, and safety factors, the most economically beneficial method of nicotine extraction can be determined. According to the evaluation results, the biodegradation followed by chemical extraction method may perform better in terms of extraction efficiency and cost, but there may be certain problems in processing time and safety.

[0120] Step S106, through the cigarette butt recycling efficiency and nicotine extraction efficiency, the comprehensive evaluation index is obtained, to judge whether there is a cost greater than the benefit or pollute the environment. In some specific application scenarios, the following can be achieved:

[0121] Specifically, according to the concentration distribution of various chemical components in the cigarette butt recycling process, PCA analysis of cigarette butt components was performed, and it was found that the key components were nicotine, tar, and heavy metals. Among them, the nicotine concentration accounted for 60% of the total components, the tar concentration accounted for 30% of the total components, and the heavy metal concentration accounted for 10% of the total components. In order to determine the appropriate nicotine extraction method, two different extraction methods, method A and method B, were compared. It was found that the extraction efficiency of method A was 80%, and the extraction efficiency of method B was 60%. Based on the analysis results of extraction efficiency and stability, it was decided to select method A as the appropriate nicotine extraction method. In the environmental impact analysis, it was observed that cigarette butt recycling and processing had a long-term impact on the distribution of microbial populations. According to the experimental data, it was found that the number of microbial populations after recycling and processing decreased by 30%. Based on this result, the extraction process was adjusted to adopt a more environmentally friendly treatment method to reduce the impact on the ecosystem. Three different treatment schemes were compared: scheme A, scheme B, and scheme C. It was found that scheme A had the lowest environmental toxicity, so scheme A was selected as the appropriate waste treatment scheme. Two different supply chain cost models, model A and model B, were compared. It was found that model A had a closer relationship between cost and recycling efficiency, so model A was selected as the appropriate supply chain cost model. According to the experimental data, a linear regression model was established, and it was found that the physical structure of the cigarette butt was positively correlated with the extraction efficiency. For every 1% increase in the physical structure parameter, the extraction efficiency would increase by 5%. If the purity of nicotine after extraction is low or the downstream application applicability is poor, adjust the extraction parameters, increase the extraction time and temperature, to improve the purity and applicability of nicotine. According to the experimental data, it was found that 10% of impurities may be introduced during the extraction process. Based on this result, screening and filtering measures were taken to reduce the content of impurities. If the greenhouse gas emissions generated during the recycling and extraction process exceed the standard, according to the prediction results of the linear regression algorithm, the energy consumption and the use of emission sources in the process are reduced to reduce the greenhouse gas emissions. Use the decision tree algorithm to optimize the nicotine recovery process in cigarette butts by removing or optimizing the links with cost greater than benefit or polluting the environment.

[0122] Obtain cigarette butt recycling related data to establish a decision tree algorithm and optimize the cigarette butt recycling process.

[0123] Specifically, the relevant data of cigarette butt recycling is obtained, including nicotine extraction method, ecosystem impact, waste disposal method, nicotine extraction purity, external impurity introduction, and greenhouse gas emission. According to the nicotine extraction method attribute, the data set is divided into different extraction methods, such as water extraction and solvent extraction. For each extraction method data set, the information gain of the ecosystem impact attribute is calculated, and the attribute with the maximum information gain is selected as the division attribute. The ID3 algorithm can be used to calculate the information gain. According to the division result of the ecosystem impact attribute, the information gain of the waste disposal method, nicotine extraction purity, external impurity introduction, and greenhouse gas emission attributes is calculated, and the attribute with the maximum information gain is selected as the division attribute. The division result of each attribute is recursively performed until all attributes are divided or a predetermined stop condition is reached, including reaching the maximum depth, and the purity of the divided data set is high enough. According to the final decision tree model, new cigarette butt nicotine recycling is predicted and decided. According to the attribute value of the new data, the conditions of the decision tree are gradually judged, and the final cigarette butt recycling process is determined. The relevant data of cigarette butt recycling is obtained, including nicotine extraction method, ecosystem impact, waste disposal method, nicotine extraction purity, external impurity introduction, and greenhouse gas emission. According to the nicotine extraction method attribute, the data set is divided into different extraction methods, such as water extraction and solvent extraction. For each extraction method data set, the information gain of the ecosystem impact attribute is calculated, and the attribute with the maximum information gain is selected as the division attribute. The ID3 algorithm can be used to calculate the information gain. According to the division result of the ecosystem impact attribute, the information gain of the waste disposal method, nicotine extraction purity, external impurity introduction, and greenhouse gas emission attributes is calculated, and the attribute with the maximum information gain is selected as the division attribute. The division result of each attribute is recursively performed until all attributes are divided or a predetermined stop condition is reached, including reaching the maximum depth, and the purity of the divided data set is high enough. According to the final decision tree model, new cigarette butt nicotine recycling is predicted and decided. According to the attribute value of the new data, the conditions of the decision tree are gradually judged, and the final cigarette butt recycling process is determined.

[0124] Step S107, when the nicotine extraction cost of a cigarette brand is greater than the benefit or there is environmental pollution, the brand is excluded from cigarette butt recycling. In some specific application scenarios, the following can be implemented:

[0125] By evaluating the cost of extracting nicotine from a brand of cigarette butt, the resources and labor costs required during the collection, processing, and extraction processes are obtained. The economic benefits of nicotine extraction, including sales revenue and profit, are evaluated to determine the benefits of nicotine extraction. The environmental pollution that may be caused by the nicotine extraction process of the brand of cigarette butt, such as wastewater, exhaust gas, and waste discharge, is evaluated to determine the environmental pollution during the nicotine extraction process. By evaluating the cost, economic benefits, and environmental pollution of nicotine extraction, if the cost of extracting nicotine from the brand of cigarette butt is greater than the benefits or there is environmental pollution, it is determined that the brand of cigarette butt should be excluded from recycling, otherwise the brand of cigarette butt recycling is continued. For example, the cost of extracting nicotine from A brand cigarette butt is $200 per kg, and each worker earns $10 per hour. In a month, a worker works 8 hours a day and 5 days a week. Each worker can process 1000 cigarette butts per hour, and each worker can process 8000 cigarette butts per day, and each worker can process 160,000 cigarette butts per month. The average weight of each cigarette butt is 2 grams, so each worker can process 32,000 grams of cigarette butts per month, i.e. 32 kg. Therefore, the labor cost of each worker per month is $1,600. At the same time, the resource cost of each worker per month is $6,400. Therefore, the total cost of each worker per month is $8,000. The extracted nicotine can be sold for $500 per kg, and each cigarette butt can extract 1 gram of nicotine on average. Therefore, the value of nicotine per cigarette butt is 50 cents. The value of nicotine that each worker can extract per month is $16,000. The cigarette butts processed by each worker per day will generate 1 liter of wastewater, and the treatment cost of each liter of wastewater is $1. The wastewater treatment cost of each worker per month is $20. According to the above evaluation, the net income of each worker per month is $7,980. In summary, the cost of extracting nicotine from the brand of cigarette butt per worker per month is greater than the benefits or there is environmental pollution, for example, the cost of each worker per month exceeds $8,000 or the wastewater treatment cost exceeds $20, so the brand of cigarette butt should be excluded from recycling. Otherwise, the brand of cigarette butt recycling can be continued.

[0126] Step S108, establish a model to analyze the nicotine content and cost of cigarette butts after being processed at different links, and predict the best recycling process. As shown in Figure 4 , the following can be achieved:

[0127] Material data of the cigarette butt is obtained according to the characteristics of the cigarette butt, including size, shape and material properties. Different extraction methods, including solvent extraction and supercritical fluid extraction, are used to obtain the extraction efficiency of nicotine under different extraction methods. Different extraction conditions, including temperature, pressure and time parameters, are set to obtain the extraction efficiency of nicotine. The initial nicotine content of the cigarette butt before going through different processing steps is determined by sampling detection. The change of nicotine content in the cigarette butt is obtained through various processing steps, including biodegradation, dissolution, filtration and concentration. The time required for each processing step is obtained. The cost of equipment, materials and energy required for each processing step is evaluated to determine the processing cost. The cost-benefit of each processing step is evaluated by integrating the time and cost benefits. A cigarette butt nicotine recovery model is established to obtain the characteristics of the cigarette butt, different extraction methods, extraction conditions, initial nicotine content and processing step attributes, to predict the nicotine content after processing, the expected processing cost and the best recovery process. For example, a solvent extraction method is selected to extract nicotine from the cigarette butt. Ethyl acetate is selected as the solvent, and the temperature is set to 40°C, the pressure is 1 atm, and the extraction time is 1 hour. According to the characteristics of the cigarette butt, the size of the cigarette butt is measured to be 2 cm x 5 cm, the shape is cylindrical, and the material is paper. First, the initial nicotine content of the cigarette butt before going through different processing steps is determined by sampling detection. 100 recycled cigarette butts are taken for nicotine content determination in the laboratory, and the average nicotine content of each cigarette butt is measured to be 1 mg. The initial nicotine content is 1 mg / cigarette. Then, solvent extraction experiment is carried out, and 100 cigarette butts are put into the solvent for extraction. After 1 hour of extraction, the nicotine content in the solution is measured to be 0.8 mg. Therefore, the nicotine extraction efficiency is 0.8 mg / 1 mg x 100% = 80%. Next, the cost of equipment, materials and energy required for each processing step is considered. Solvent extraction requires a glass bottle as an extraction container, ethyl acetate as a solvent, and a heater to provide the required temperature. The total cost of equipment, materials and energy is 100 dollars. The time required for each processing step is also recorded. Solvent extraction requires 10 minutes for preparation and sample loading, 1 hour for extraction, and 10 minutes for separation and collection of the solution. Therefore, the total processing time is 80 minutes. By considering the time and cost benefits, the cost-benefit of solvent extraction can be evaluated. The hourly working cost is 20 dollars, and the cost of solvent extraction can be calculated as: processing cost = time cost + equipment, material and energy cost = (80 minutes / 60 minutes / hour) x 20 dollars / hour + 100 dollars = 333 dollars. According to the characteristics of the cigarette butt, the extraction method, the extraction condition, the initial nicotine content and the processing step attribute, a cigarette butt nicotine recovery model can be established to predict the nicotine content under different processing processes, the expected processing cost and the best recovery process.

[0128] A model for cigarette butt nicotine recovery was constructed to determine the nicotine recovery process by the nicotine content of the cigarette butt.

[0129] In particular, according to the cigarette butt feature data, such as the size, weight, and material of the cigarette butt, a correlation analysis is used to determine the impact on nicotine recovery. Data from 100 cigarette butt samples are collected and cleaned and normalized. Next, a regression model is established to predict the nicotine recovery rate. A linear regression model is chosen, with the nicotine recovery rate as the target variable and the size, weight, and material of the cigarette butt as the feature variables. The data is randomly divided into a training set and a validation set, with the training set containing 70 samples and the validation set containing 30 samples. The training set is used to train the regression model, and the R-squared value of the regression model is used to evaluate the model performance. The R-squared value of the model is 85, indicating that the model can explain 85% of the variability in the nicotine recovery rate. Based on the model evaluation results, model optimization can be performed. A feature selection method is used to determine the most relevant features to the nicotine recovery rate. After feature selection, only the size and weight of the cigarette butt are retained as feature variables, and the model parameters are adjusted. According to the optimized model, the nicotine content in the cigarette butt can be predicted using the cigarette butt feature data. There is a new cigarette butt sample with a size of 3 cm and a weight of 5 g. According to the model, the nicotine recovery rate of the cigarette butt is predicted to be 70%. Based on the prediction of the nicotine content, the recovery process and treatment method can be combined to predict the cost after treatment. The recovery process requires the consumption of 1000 liters of solvent, and the energy consumption of the recovery equipment is 500 kWh. Based on these data, the cost after treatment is calculated to be $5000. Based on the prediction of the nicotine content and the prediction of the treatment cost, the cost-benefit ratio between the recovery cost and the nicotine content is calculated, and the process with the highest benefit ratio is selected to achieve efficient recovery of nicotine. According to the cigarette butt feature data, such as the size, weight, and material of the cigarette butt, a correlation analysis is used to determine the impact on nicotine recovery. Data from 100 cigarette butt samples are collected and cleaned and normalized. Next, a regression model is established to predict the nicotine recovery rate. A linear regression model is chosen, with the nicotine recovery rate as the target variable and the size, weight, and material of the cigarette butt as the feature variables. The data is randomly divided into a training set and a validation set, with the training set containing 70 samples and the validation set containing 30 samples. The training set is used to train the regression model, and the R-squared value of the regression model is used to evaluate the model performance. The R-squared value of the model is 85, indicating that the model can explain 85% of the variability in the nicotine recovery rate. Based on the model evaluation results, model optimization can be performed. A feature selection method is used to determine the most relevant features to the nicotine recovery rate. After feature selection, only the size and weight of the cigarette butt are retained as feature variables, and the model parameters are adjusted. According to the optimized model, the nicotine content in the cigarette butt can be predicted using the cigarette butt feature data. There is a new cigarette butt sample with a size of 3 cm and a weight of 5 g. According to the model, the nicotine recovery rate of the cigarette butt is predicted to be 70%. Based on the prediction of the nicotine content, the recovery process and treatment method can be combined to predict the cost after treatment. The recovery process requires the consumption of 1000 liters of solvent, and the energy consumption of the recovery equipment is 500 kWh. Based on these data, the cost after treatment is calculated to be $5000. Based on the prediction of the nicotine content and the prediction of the treatment cost, the cost-benefit ratio between the recovery cost and the nicotine content is calculated, and the process with the highest benefit ratio is selected to achieve efficient recovery of nicotine.The recovery process requires 1000 liters of solvent, and the energy consumption of the recovery equipment is 500 kWh. According to these data, the cost of processing can be calculated as 5000 dollars. According to the prediction of the nicotine content and the prediction of the processing cost, the cost-benefit ratio between the recovery cost and the nicotine content is calculated, and the process with the highest benefit ratio is selected to achieve efficient recovery of nicotine.

[0130] In summary, the present application discloses a tobacco waste conversion and monitoring method, which realizes automatic recognition and separation of cigarette butts through processing of cigarette image data, further judges the brand of each cigarette butt and the corresponding cigarette type through identification of cigarette butt image, calculates the nicotine recovery content and efficiency of various cigarette butts according to the type of cigarette butt and nicotine content, and selects the most efficient nicotine extraction method. Considering the cigarette butt recovery efficiency and nicotine extraction efficiency, comprehensive evaluation is carried out to determine whether there is a link with cost greater than benefit or environmental pollution. When the nicotine extraction cost of some cigarette brands is greater than the benefit or there is environmental pollution, the cigarette butts of these brands are excluded. Finally, a model is established to analyze the nicotine content and cost after processing of cigarette butts at different links, so as to predict the best recovery process and realize the whole process analysis and optimization of cigarette recovery.

[0131] As shown in Figure 5 the present application also provides a tobacco waste conversion and monitoring device 900, which can include:

[0132] The first module 901 is used for acquiring cigarette butt recovery data; the cigarette butt recovery data includes cigarette image data and statistical data of cigarette butt recovery amount and its corresponding attribute data; and the cigarette butt recovery situation is analyzed according to the statistical data of cigarette butt recovery amount;

[0133] The second module 902 is used for identifying cigarette butt through cigarette image data, separating the cigarette butt from other parts of the cigarette, and obtaining cigarette butt image;

[0134] The third module 903 is used for judging the cigarette butt brand and cigarette butt type corresponding to each cigarette butt through the identified cigarette butt image;

[0135] The fourth module 904 is used for determining the nicotine recovery content and efficiency of each cigarette butt type according to the cigarette butt type and its corresponding nicotine content;

[0136] The fifth module 905 is used for matching different nicotine extraction methods according to the cigarette butt brand and cigarette butt type, and obtaining the target nicotine extraction method;

[0137] The sixth module 906 is used for obtaining the comprehensive evaluation index according to the cigarette butt recovery efficiency and nicotine extraction efficiency corresponding to the target nicotine extraction method, and judging whether there is a link with nicotine extraction cost greater than benefit or environmental pollution.

[0138] The seventh module 907 is configured to exclude the cigarette butt recycling of the corresponding cigarette butt brand when the cost of extracting nicotine from the cigarette butt brand is greater than the benefit or there is environmental pollution.

[0139] The eighth module 908 is configured to establish a model to analyze the nicotine content and cost of the cigarette butt after the cigarette butt is processed at different links, and to predict the optimal recycling process.

[0140] The content of the method embodiments of the present application is applicable to the device embodiments, the device embodiments specifically implement the same functions as the above-mentioned method embodiments, and achieve the same beneficial effects as the above-mentioned method embodiments.

[0141] The present application also provides an electronic device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned tobacco waste conversion and monitoring method when executing the computer program. The electronic device can be any smart terminal including a tablet computer, a vehicle-mounted computer, etc.

[0142] It can be understood that the content of the above-mentioned method embodiments is applicable to the device embodiments, the device embodiments specifically implement the same functions as the above-mentioned method embodiments, and achieve the same beneficial effects as the above-mentioned method embodiments.

[0143] Please refer to Figure 6 , Figure 6 The hardware structure of the electronic device 1000 of another embodiment is shown, which comprises:

[0144] The processor 1001 can be implemented in the form of a general CPU (Central Processing Unit), a microprocessor, an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits, etc., and is used to execute related programs to implement the technical solutions provided by the present application;

[0145] The memory 1002 can be implemented in the form of a ROM (Read Only Memory), a static storage device, a dynamic storage device, or a RAM (Random Access Memory), etc. The memory 1002 can store an operating system and other application programs, and when the technical solutions provided by the present application are implemented by software or firmware, the related program codes are saved in the memory 1002 and are called and executed by the processor 1001 to implement the tobacco waste conversion and monitoring method of the present application;

[0146] The input / output interface 1003 is configured to realize information input and output.

[0147] The communication interface 1004 is configured to realize communication interaction between the device and other devices, and the communication can be realized through a wired manner (for example, a USB, a network cable and the like) or a wireless manner (for example, a mobile network, WIFI, Bluetooth and the like).

[0148] The bus 1005 is configured to transmit information between various components (for example, the processor 1001, the memory 1002, the input / output interface 1003 and the communication interface 1004) of the device.

[0149] The processor 1001, the memory 1002, the input / output interface 1003 and the communication interface 1004 are connected to each other through the bus 1005 to realize communication connection between the device.

[0150] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the tobacco waste conversion and monitoring method.

[0151] It can be understood that the contents in the above method embodiments are all applicable to the present storage medium embodiment, the present storage medium embodiment specifically realizes the functions of the above method embodiments, and the beneficial effects achieved by the present storage medium embodiment are the same as the beneficial effects achieved by the above method embodiments.

[0152] The memory is a non-transient computer readable storage medium, and can be used to store a non-transient software program and a non-transient computer executable program. In addition, the memory can include a high-speed random access memory, and can also include a non-transient memory, for example, at least one magnetic disk storage device, a flash memory device or other non-transient solid-state memory device. In some embodiments, the memory can optionally include a memory remotely arranged relative to the processor, and the remote memory can be connected to the processor through a network. Examples of the network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0153] The tobacco waste conversion and monitoring method, the tobacco waste conversion and monitoring device, the electronic equipment and the storage medium provided by the embodiment of the present application obtain initial seeds, and construct a seed queue by using the initial seeds; wherein the initial seeds are obtained based on a preset data set in the field of automatic driving, and the seeds in the seed queue represent three-dimensional point clouds generated by a laser radar system; a preset number of target seeds are selected from the seed queue, and a mutation operation is performed on the target seeds to generate test seeds; the test seeds are input into a deep neural network of a preset automatic driving perception system for test prediction, and the test seeds with a prediction result of failure are output to a failure set; a test coverage of the target seeds and the test seeds is obtained by using a guide index, and the seed queue is updated according to the test seeds with improved test coverage relative to the target seeds; wherein the guide index includes spatial coverage and semantic coverage; the number of iterations is increased by 1, and the step of selecting a preset number of target seeds from the seed queue is returned to be executed, until the number of iterations reaches a preset maximum number of iterations, and the failure set is output; wherein the number of iterations is initially 0. The present application designs a tobacco waste conversion and monitoring framework for laser radar, and uses a mutation operation to generate test data and perform automated testing. In addition, the present application introduces two indexes of spatial coverage and semantic coverage to guide the test process, the purpose is to completely search for potential defects of the perception model based on laser radar by considering the scene semantics and the spatial distribution of obstacles. The present application can efficiently realize tobacco waste conversion and monitoring.

[0154] The embodiments described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0155] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and can include more or fewer steps than the figures shown, or combine certain steps, or different steps.

[0156] The system embodiments described above are only schematic, and the units described as separate components can or can not be physically separate, that is, they can be located in one place, or distributed on multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0157] Those skilled in the art can understand that all or some steps in the above disclosed method, the function modules / units in the system and the device can be implemented as software, firmware, hardware and their appropriate combinations.

[0158] The terms "first", "second", "third", "fourth", and the like in the description and in the claims of this application, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of the terms so termed is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of orderly or chronological mundane operation, reverse order operation, based on completion of some desired or other convenient events, or based on other modification that can be wished to those with average skill in the art. Additionally, the terms "comprising", "having", "including", and "containing" are to be construed as open-ended terms (i.e., meaning "including, but not limited to", "comprising, but not limited to", "having, but not limited to", or "including, but not limited to") unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein and each separate value is incorporated into the specification as if it were individually recited herein. The use of any of the following terms "coupled", "connected", or "communicatively coupled", means the elements so connected are electrically or otherwise directly connected without any additional intervening elements. The use of any of the following terms "in communication with", "in connection with", or "in communication therewith", means the elements so connected are electrically or otherwise directly connected without any additional intervening elements.

[0159] It should be understood that, in the application, "at least one" refers to one or more, and "multiple" refers to two or more. "And / or" is used to describe the relationship between associated objects, which means that there can be three relationships, for example, "A and / or B" can mean: only A, only B, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0160] In several embodiments provided by the application, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described system embodiments are only illustrative, for example, the division of the above-mentioned units is only a logical functional division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed objects can be indirect coupling or communication connection between the systems or units through some interfaces, and can be electrical, mechanical or other forms.

[0161] The units described above as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments of the application.

[0162] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0163] When the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in the form of a contribution to the prior art, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes multiple instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods in the embodiments of the present application. The foregoing storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0164] The preferred embodiments of the embodiments of the present application are described above with reference to the accompanying drawings, and are not intended to limit the scope of the embodiments of the present application. Any modification, equivalent replacement, and improvement made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of the embodiments of the present application.

Claims

1. A tobacco waste conversion and monitoring method, characterized by, The method comprises the following steps: Obtaining cigarette butt recycling data; the cigarette butt recycling data comprises cigarette image data and statistical data of cigarette butt recycling quantity and corresponding attribute data; analyzing the cigarette butt recycling situation according to the statistical data of the cigarette butt recycling quantity; Identifying the cigarette butt through the cigarette image data, separating the cigarette butt from other parts of the cigarette, and obtaining a cigarette butt image; Judging the cigarette butt brand and the cigarette butt type corresponding to each cigarette butt through the identified cigarette butt image; Determining the nicotine recycling content of each cigarette butt type according to the cigarette butt type and the corresponding nicotine content; wherein the cigarette butt type with high nicotine recycling content is given more attention and investment in the recycling work, and the cigarette butt type with low nicotine recycling content improves the recycling efficiency by optimizing the recycling equipment or improving the recycling environmental conditions; Matching different nicotine extraction methods according to the cigarette butt brand and the cigarette butt type to obtain a target nicotine extraction method; Obtaining a comprehensive evaluation index according to the cigarette butt recycling efficiency and the nicotine extraction efficiency corresponding to the target nicotine extraction method to judge whether there is a link with nicotine extraction cost greater than benefit or environmental pollution; The step of obtaining a comprehensive evaluation index according to the cigarette butt recycling efficiency and the nicotine extraction efficiency corresponding to the target nicotine extraction method to judge whether there is a link with nicotine extraction cost greater than benefit or environmental pollution comprises the following steps: Based on the concentration distribution of various chemical components in the cigarette butt recycling process corresponding to the target nicotine extraction method, the PCA is used to analyze the cigarette butt components to identify the key components; Through the feasibility and stability analysis of the target nicotine extraction method, the extraction method is optimized; specifically including the following operations: According to the change of microbial population distribution in the environmental impact analysis, the long-term impact of cigarette butt recycling and processing on the ecological system is judged; Through the environmental toxicity analysis of the generated waste and raw materials, the waste treatment scheme is judged; The supply chain cost of cigarette butt recycling and processing is calculated to obtain the correlation analysis of cost and recycling efficiency; According to the influence analysis of the physical structure of the cigarette butt on the extraction efficiency, the linear regression algorithm is used to predict the extraction efficiency; When the purity of nicotine after extraction is low or the downstream application applicability is poor, the extraction parameters are adjusted; through the analysis of the external impurities possibly introduced in the extraction process, the strategy for reducing impurities is determined; if the greenhouse gas emissions generated in the recycling and extraction process exceed the standard, the processing strategy is adjusted according to the prediction result of the linear regression algorithm to reduce the emissions; the decision tree algorithm is used to optimize the recycling process of nicotine in the cigarette butt to remove or optimize the link with cost greater than benefit or environmental pollution; When the nicotine extraction cost of a cigarette butt brand is greater than the benefit or there is environmental pollution, the cigarette butt of the corresponding cigarette butt brand is excluded; A model is established to analyze the nicotine content and cost of the cigarette butt after different links of the cigarette butt are processed, and the best recycling process is predicted.

2. The tobacco waste conversion and monitoring method of claim 1, wherein, The step of analyzing the cigarette butt recycling situation according to the statistical data of the cigarette butt recycling quantity comprises the following steps: Obtaining attribute data corresponding to the statistical data of the amount of cigarette butts collected; the attribute data includes the amount of collection, the location attribute of the collection point, the seasonal attribute and the collection method attribute; According to the amount of collection in the statistical data, the total amount of cigarette butt collection is determined, and the amount of cigarette butt collection per day, week, month and year is determined. The cigarette butt collection rate of each time period is compared and analyzed to obtain the trend and change of cigarette butt collection; According to the location attribute of the collection point, the amount of cigarette butt collection in different regions or different collection points is determined, and a geographical distribution map or a heat map is drawn to determine the distribution of cigarette butt collection points; According to the seasonal attribute in the statistical data, the seasonal distribution of cigarette butt collection is determined; then the amount of cigarette butt collection in each season is determined and compared and analyzed to obtain the difference and change of cigarette butt collection in different seasons; According to the collection method attribute, the amount of collection of different collection methods is counted and compared and analyzed to determine the contribution degree of different collection methods to cigarette butt collection.

3. The tobacco waste conversion and monitoring method of claim 1, wherein, The cigarette butt recognition through the cigarette image data separates the cigarette butt from other parts of the cigarette to obtain a cigarette butt image, including the following steps: The pixel distribution and density of the cigarette image data are analyzed to obtain the cigarette butt area in the image as a cigarette butt candidate area; In the cigarette butt candidate area, the image brightness and contrast are adjusted according to the light intensity and angle in the image; The color contrast between the cigarette butt and other parts of the cigarette is obtained, and the image is binarized based on the threshold segmentation method; The Sobel operator is used to process the binarized image to obtain the edge information of the cigarette butt; Based on the edge information, the texture and surface features specific to the cigarette butt are extracted as cigarette butt features; According to the connectivity of the cigarette butt and other parts of the cigarette, the image connected region analysis is used to further determine the position of the cigarette butt; the spatial relationship and distance between the cigarette butt and other parts of the cigarette are analyzed to screen out objects similar in shape to the cigarette butt but not cigarette butts; The cigarette butt candidate area is compared with the cigarette butt features, and the final cigarette butt position is confirmed by template matching to separate the cigarette butt from other parts of the cigarette.

4. The tobacco waste conversion and monitoring method of claim 1, wherein, The cigarette butt types include flue-cured tobacco and mixed cigarettes; the cigarette butt image obtained by recognition is used to determine the cigarette butt brand and cigarette butt type corresponding to each cigarette butt, including the following steps: The input cigarette butt image is preprocessed; the preprocessing includes image denoising, grayscale and edge detection; The logo, trademark or text information on the preprocessed cigarette butt image is separated from the background by image segmentation and HOG feature extraction, and the identification features are extracted; The extracted identification features are compared with the database of known brands, and HOG feature extraction is used to determine the cigarette butt brand corresponding to the cigarette to which the cigarette butt belongs; According to the cigarette shape on the cigarette butt image and the identification features, the HOG feature extraction and K-mean algorithm are used to determine whether the cigarette butt type is flue-cured tobacco or mixed cigarette.

5. The tobacco waste conversion and monitoring method according to claim 1, wherein, The cigarette butt recycling data further comprises sample detection results of the cigarette butt, and the sample detection results comprise a corresponding nicotine content of the cigarette butt; and the determination of the nicotine recycling content and efficiency of each cigarette butt category according to the cigarette butt category and the corresponding nicotine content comprises the following steps: Based on the classified cigarette butt category, a control table of the cigarette butt category and its nicotine content is formed according to the sample detection results of the cigarette butt; Through the specification of the nicotine extraction equipment, specific processing efficiency parameters are obtained; the equipment efficiency under different environmental conditions is analyzed, and the optimal recycling environmental condition is determined; the actual nicotine content recycled is corrected according to the error range of the nicotine content measurement tool GC-FID; Based on the control table, the sample data collected is analyzed to determine the average nicotine recycling amount of each cigarette butt category.

6. The tobacco waste conversion and monitoring method of claim 1, wherein, The matching of different nicotine extraction methods according to the cigarette butt brand and the cigarette butt category to obtain a target nicotine extraction method comprises the following steps: According to the diversity identification of the cigarette butt brand and the cigarette butt category, a database of the cigarette butt brand and the cigarette butt category is obtained; The data of the database is grouped using a K-means algorithm; and it is determined which brands or categories of cigarette butts have nicotine higher than a preset concentration through the nicotine concentration data of the cigarette butts of different cigarette butt brands; Based on the structural difference data of the cigarette material composition and the cigarette butt brand and the cigarette butt category, a nicotine extraction method is screened out; According to the correlation data of the cigarette material composition and the extraction efficiency, the best nicotine extraction method is determined as the target nicotine extraction method; and the operations specifically include the following operations: The extraction conditions of the determined nicotine extraction method are adjusted, including the extraction solvent, extraction time and extraction temperature, to ensure the maximum extraction efficiency; the extraction method with the most economic benefits is determined through economic evaluation of the nicotine extraction method; the data is corrected and improved according to the nicotine concentration standardization evaluation of the cigarette butt brand and the category; and the operations further include: evaluating the cost and economic benefits of each nicotine extraction method after extraction to determine the nicotine extraction method with the best economic benefits.

7. The tobacco waste conversion and monitoring method according to claim 1, wherein, When the nicotine extraction cost of a cigarette butt brand is greater than the benefit or there is environmental pollution, the cigarette butt of the corresponding cigarette butt brand is excluded from recycling, comprising the following steps: The cost of nicotine extraction in the cigarette butts of each cigarette butt brand is evaluated to obtain the resource and labor cost required in the collection, processing and extraction process; The economic benefits brought by nicotine extraction, including sales revenue and profit, are evaluated to determine the benefits of nicotine extraction; The environmental pollution caused by the nicotine extraction process of the brand cigarette butt is evaluated to determine the environmental pollution in the nicotine extraction process; By comparing the resource and labor cost, the economic benefits and the environmental pollution of nicotine extraction, when the nicotine extraction cost of any cigarette butt brand is greater than the benefit or there is environmental pollution, it is determined to exclude the cigarette butt recycling of the cigarette butt brand, otherwise the cigarette butt recycling of the cigarette butt brand is continued.

8. The tobacco waste conversion and monitoring method of claim 1, wherein, The model is established to analyze the nicotine content and cost of the cigarette butt after different processing steps, and to predict the optimal recycling process, including the following steps: According to the characteristic data of different cigarette butt brands and different cigarette butt types, material data of the cigarette butt is obtained; the characteristic data includes size, shape and material properties; Different nicotine extraction methods are used to obtain nicotine extraction efficiency under different nicotine extraction methods; the nicotine extraction methods include solvent extraction and supercritical fluid extraction; Different extraction conditions are set for various nicotine extraction methods to obtain nicotine extraction efficiency data under different extraction conditions and the time required for each processing step; the extraction conditions include temperature, pressure and time parameters; The initial nicotine content of the cigarette butt before different processing steps is determined through sampling detection; Through each processing step, including biodegradation, dissolution, filtration and concentration, the change of nicotine content in the cigarette butt is obtained, and the time required for each processing step is obtained; The cost of equipment, materials and energy required for each processing step is evaluated to determine the processing cost; then the benefit of comprehensive time and cost is determined to evaluate the cost-benefit of each processing step; According to the mapping relationship between the characteristic data, different nicotine extraction methods, extraction conditions, initial nicotine content and processing step attributes, a cigarette butt nicotine recycling model is established, and the nicotine content and expected processing cost after processing and the optimal recycling process are predicted through the cigarette butt nicotine recycling model; the processing step attributes include the time required for each processing step and the cost-benefit.

9. A tobacco waste conversion and monitoring device, characterized by, The device comprises: A first module for obtaining cigarette butt recycling data; the cigarette butt recycling data includes cigarette image data and statistical data of cigarette butt recycling quantity and its corresponding attribute data; according to the statistical data of the cigarette butt recycling quantity, the cigarette butt recycling situation is analyzed; A second module for identifying cigarette butts through the cigarette image data, separating the cigarette butts from other parts of the cigarette to obtain cigarette butt images; A third module for determining the cigarette butt brand and cigarette butt type corresponding to each cigarette butt through the identified cigarette butt images; A fourth module for determining the nicotine recycling content of each cigarette butt type according to the cigarette butt type and its corresponding nicotine content; wherein the cigarette butt type with high nicotine recycling content is given more attention and investment in recycling work, and the cigarette butt type with low nicotine recycling content improves recycling efficiency by optimizing recycling equipment or improving recycling environmental conditions; A fifth module for matching different nicotine extraction methods according to the cigarette butt brand and the cigarette butt type to obtain a target nicotine extraction method; A sixth module for obtaining a comprehensive evaluation index according to the cigarette butt recycling efficiency and nicotine extraction efficiency corresponding to the target nicotine extraction method to determine whether there is a step with nicotine extraction cost greater than benefit or polluting the environment; The sixth module for obtaining a comprehensive evaluation index according to the cigarette butt recycling efficiency and nicotine extraction efficiency corresponding to the target nicotine extraction method to determine whether there is a step with nicotine extraction cost greater than benefit or polluting the environment, comprising the following steps: Based on the concentration distribution of various chemical components in the cigarette butt recycling process corresponding to the target nicotine extraction method, PCA is used to analyze the components of the cigarette butt to identify key components; Through the feasibility and stability analysis of the target nicotine extraction method, the extraction method is optimized; Specifically, the following operations are included: According to the change of microbial population distribution in environmental impact analysis, judge the long-term impact of cigarette butt recycling and processing on the ecosystem; Through the environmental toxicity analysis of the generated waste and raw materials, judge the waste disposal scheme; The supply chain cost of cigarette butt recycling and processing is calculated to obtain the correlation analysis of cost and recycling efficiency; According to the influence analysis of the physical structure of cigarette butt on extraction efficiency, linear regression algorithm is used to predict extraction efficiency; Wherein, when the purity of nicotine extraction is low or the downstream application applicability is poor, adjust the extraction parameters; Through the analysis of the external impurities that may be introduced in the extraction process, determine the strategy to reduce impurities; If the greenhouse gas emissions generated during the recycling and extraction process exceed the standard, according to the prediction result of linear regression algorithm, adjust the processing strategy to reduce emissions; Using decision tree algorithm to optimize the recycling process of nicotine in cigarette butt, remove or optimize the link whose cost is greater than benefit or pollutes the environment; The seventh module is used to exclude the cigarette butt recycling of the corresponding cigarette butt brand when the nicotine extraction cost of the cigarette butt brand is greater than the benefit or has environmental pollution; The eighth module is used to establish a model to analyze the nicotine content and cost of the cigarette butt after taking different links of the cigarette butt, and to predict the best recycling process.

Images