306results about How to "Enhance the image" patented technology

The invention belongs to the related technical field of construction safety inspection, and particularly relates to a construction site safety inspection method based on a multi-modal large language model, which comprises the following steps of: introducing the multi-modal large language model, and applying the multi-modal large language model for multiple times in combination with a knowledge base containing safety standard specifications and evaluation rules to obtain a construction site safety inspection result. The method specifically comprises the following steps: obtaining image content description through an image and a preset visual perception system prompt text; intelligently decomposing user input query into a plurality of sub-query tasks through user input query, image content description and preset task decomposition system prompt; searching construction safety management standard data related to each sub-query from the construction safety knowledge base, and analyzing and reasoning the sub-query based on the image content description in combination with the searched standard data to obtain the reasoning and conclusion of the sub-query; and finally, obtaining a total reasoning and conclusion based on each sub-query data. The method can accurately, scientifically and comprehensively realize the safety inspection of the construction site.

The invention discloses a drug traceability code acquisition method, system and device based on image recognition, and a medium. The method comprises the steps of obtaining a drug package image; preprocessing the medicine packaging image, and performing edge detection, region segmentation, image correction and barcode analysis on the preprocessed medicine packaging image to obtain medicine traceability code information; obtaining prescription data, and checking the drug traceability code information according to the prescription data; and when the drug traceability code information is checked to be correct, carrying out associative storage on the drug traceability code information and the prescription data. According to the invention, drug traceability code information can be rapidly and accurately identified, and environments such as complex backgrounds, illumination changes, traceability code deformation and the like can be adapted; meanwhile, multiple drug traceability codes can be collected, the purpose of batch collection is achieved, supervision of a drug dispensing end is achieved, medication safety of patients is ensured, drug management can be perfected, and subsequent drug traceability is facilitated.

The embodiment of the invention discloses a microscope objective optical system, a microscope objective and a wafer detection microscope, and relates to the field of optics. The system is sequentially provided with a first lens group, a second lens group and a third lens group along the same optical axis from an image space to an object space; wherein the third lens group has positive focal power and is used for collecting light beams; the second lens group has negative focal power, the first lens group has positive focal power, the second lens group and the third lens group are used for correcting and compensating the optical system, and the second lens group comprises at least two lenses made of materials with different dispersion coefficients. The second lens group and the third lens group with correction and compensation functions are arranged, so that the optical system can meet the microscopic requirement of an ultra-wide working spectrum range, and the imaging quality is ensured.

The invention discloses an electric power material supply management and control system and a method thereof. The electric power material supply management and control system comprises a master control center, a sub-control center, a material warehouse, a mobile control terminal and a data processing platform. The electric power material supply management and control method comprises the following steps: S1, material demand prediction; s2, intelligent scheduling; s3, performing real-time monitoring; s4, risk assessment and early warning; and S5, emergency response is carried out. The electric power material supply management and control system and the method thereof can improve the material supply efficiency, enhance the decision support capability, make the decision more accurate and efficient, help to optimize resource configuration, improve the overall operation efficiency, improve the transparency and visualization of a supply chain, enhance risk management, guarantee the safe and stable operation of a power grid, improve the emergency response speed, and improve the power supply efficiency. The resource allocation is optimized, the inventory cost is reduced, the fund utilization efficiency is improved, the optimal allocation of resources is realized, and the electric power material requirements of each region can be better met.

The invention relates to the technical field of artificial intelligence multi-modal large models, and discloses a multi-modal human body large model training method and system considering multi-granularity semantic alignment, and the method comprises the steps: carrying out the prefix construction of a large-scale training set through improving a network structure, adding prefixes related to description to the data in the training set based on human body features; and training the multi-modal human body large model in batches, pairing each image and each text in each batch of training data, improving comparison loss through similarity calculation and semantic relaxation, and optimizing visual and text modal encoder parameters, so as to improve the accuracy of the multi-modal human body large model. According to the multi-modal human body large model training system considering multi-granularity semantic alignment, aiming at the multi-granularity semantic alignment problem encountered by a current multi-modal large model in human body cross-modal retrieval application, a general multi-modal large model is improved from two aspects of a network structure and a loss function; and the performance of cross-modal human body retrieval under multi-granularity semantics is enhanced.

The invention relates to the technical field of seismic exploration, in particular to a two-way wave depth migration method for a VTI medium. Respectively forming a detector wave field and a seismic source wave field; respectively reading seismic data and a seismic source wave field of a single shot, and obtaining anisotropic parameters; fourier transform is carried out on the seismic source wave field data and the detector wave field data to obtain frequency-space domain wave field data; calculating parameters required by offset; calculating an anisotropic vertical wave number; solving a wave field of a second depth grid; according to the double-boundary condition, wave field propagation operators are solved layer by layer; eliminating evanescent waves and pseudo S waves at each depth position; migration imaging is carried out; continuation calculation is repeated until the maximum depth is calculated, and an offset result is output; by popularizing the two-way wave migration from an isotropic medium to an anisotropic medium, the application range of the two-way wave depth migration is expanded, and an underground structure can be better imaged.

The embodiment of the invention discloses an 8K ultra-high-definition optical endoscope and an imaging system, relates to the technical field of medical instruments, and aims to provide an optical endoscope with higher resolution. The optical endoscope comprises a tube body, an objective lens group and a relay lens group, the objective lens group and the relay lens group are arranged in the tube body, the relay lens group is arranged at the image space of the objective lens group, and a collimation magnifying lens group is arranged at the image space of the relay lens group; wherein the objective lens group is used for imaging an observed object; the relay lens group performs relay transmission on the image formed by the objective lens group; the collimation magnifying lens group amplifies the light spot of the image space of the relay lens group into a parallel collimation light spot, so that the light emergent angle of the relay lens group is consistent with the light incident angle of the pick-up lens, and the size of the parallel collimation light spot formed after amplification is consistent with the size of the entrance pupil of the pick-up lens; and the light emitting side of the relay lens group is the image side of the relay lens group. The embodiment of the invention is suitable for the scene of medical examination and operation through the endoscope.

The invention discloses a start-stop bidirectional linkage conveyor belt longitudinal tearing machine vision detection method, and relates to the technical field of coal-electricity conveyor belt safety operation and maintenance, and the method comprises the steps: obtaining a bottom longitudinal tearing condition feature image of a conveyor belt in a running state; frame-by-frame image extraction, image filtering, deformation detection, image relevance decision and mask processing are carried out on the bottom longitudinal tearing condition feature image, an alarm signal and a bottom longitudinal tearing condition feature image after abnormal processing are generated, and the alarm signal and the bottom longitudinal tearing condition feature image after abnormal processing are acquired; system linkage is realized; according to the method, after system deployment and debugging are completed, an alarm threshold value is set in advance according to the running speed of the belt, all-weather continuous image recognition is conducted, automatic grading alarm is conducted when abnormal features of the surface of the belt are detected, screenshots are recorded in a database, and long-time training is not needed; the method is good in image effect, high in tearing recognition rate, high in algorithm accuracy and capable of being stably used for a long time.

The invention relates to the technical field of target detection, and discloses a multi-stage refined camouflage target detection method based on wavelet enhanced recognition, which overcomes the defect that detection details are omitted due to the fact that global information is not effectively utilized in an existing method and solves the problem of feature redundancy caused by the fact that multi-layer information is not processed. And a position target detection task can be better completed. Firstly, a visible light image is preprocessed through a pre-training model, a feature quantity is expanded through pyramid operation, the calculated amount is controlled while the information quantity is guaranteed, part of initial features are selected for feature enhancement, and discrimination features are screened through a wavelet discrimination enhancement module; selecting the highest-layer features and sending the highest-layer features to an asymmetric convolution Mangbar module to obtain features with global information; processing global information features and distinguishing features through a feature inversion decoder composed of a plurality of guide units to obtain a prediction map, and training the model; when a specific detection task is executed, the trained model is adopted to obtain the prediction map, and the detection task is completed.

The invention discloses a three-dimensional Gaussian point cloud grid construction method and system based on multi-modal embedding, and the method comprises the steps: obtaining three-dimensional Gaussian point cloud data, and carrying out the sparse sampling and adaptive sampling processing, and obtaining a point cloud embedding vector; introducing an attention mechanism, and carrying out Poisson reconstruction on the three-dimensional Gaussian point cloud data to obtain a grid embedding vector; and carrying out Transform network training and autoregressive sampling based on the point cloud embedded vector and the grid embedded vector, and generating a three-dimensional Gaussian point cloud grid. According to the embodiment of the invention, the global structure and the local detail features of the point cloud can be comprehensively captured, the compactness when the grid is generated by autoregression sampling is improved, and the quality of the generated image or data is improved. The method can be widely applied to the technical field of three-dimensional point cloud reconstruction.

The invention discloses an ultraviolet lithography lens and a lithography machine, and relates to the technical field of optics, and the ultraviolet lithography lens comprises a plurality of lenses which are sequentially arranged from an object side to an image side; the focal power of the first lens, the fourth lens, the fifth lens, the sixth lens, the twelfth lens, the thirteenth lens, the nineteenth lens, the twentieth lens, the twenty-first lens and the twenty-fourth lens is negative. The focal power of the second lens, the third lens, the seventh lens, the eighth lens, the ninth lens, the tenth lens, the eleventh lens, the fourteenth lens, the fifteenth lens, the sixteenth lens, the seventeenth lens, the eighteenth lens, the twenty-second lens and the twenty-third lens is positive, and the lenses are all spherical lenses. According to the technical scheme provided by the invention, the installation and adjustment difficulty and cost of the ultraviolet lithography lens can be greatly reduced while the precision is maintained.

The utility model discloses a 3D printing lens and a projection device, comprising a front group lens group, a diaphragm and a rear group lens group which are sequentially arranged in a direction from an object plane to an image plane, and the focal length of the lens is 10mlt; flt; the focal length of the front lens group is-100mm, and the focal length of the rear lens group is-100mm; f front lt; the focal length of the rear lens group is-50mm, and the focal length of the rear lens group is 15mlt; f rear lt; 25 mm; the lens is highly matched with a 0.47-inch DMD chip, the offset rate of the lens can reach 0%, optical distortion is small, imaging is good, and the projection ratio of the lens is larger than 0.5 and smaller than 1.35; the device has a large defocus range and can adapt to an unstable lighting environment; the imaging picture brightness is uniform, the edge loss light energy is less, and the illumination light utilization rate is high.

The invention relates to the technical field of mechanical testing, in particular to a triaxial mechanical property testing method and device for a sample piece. The method comprises the following steps: determining a buckling critical load of a sample piece according to characteristic parameters of the sample piece; inputting the buckling critical load into a transverse clamping device so as to apply a transverse clamping force to the sample piece through the transverse clamping device; controlling an axial force applying device to apply an axial force to the sample piece; in the process of applying the axial force, parameters of the transverse clamping device subjected to reverse action of the sample piece are collected in real time; the transverse clamping force is adjusted in real time according to the reverse action parameters; acquiring an image of the surface of the sample piece in real time; and identifying speckle deformation on the surface of the sample piece in the image. According to the invention, the mechanical property of the material under the negative stress triaxial degree can be accurately tested and obtained.

The invention relates to the technical field of cardiovascular image analysis, in particular to a real-time image navigation and positioning system in a cardiovascular interventional operation. The blood vessel wall possibility is obtained according to the gray difference and the gradient difference between the edge pixel points and the surrounding pixel points, and then the blood vessel wall pixel points are obtained; obtaining the blood vessel wall closeness degree according to the gray difference and gradient difference between the blood vessel wall pixel points and the surroundings, and performing extension to obtain extended blood vessel wall pixel points; further obtaining an extension direction mutation index, and screening out a direction mutation point; obtaining an abnormal possible degree by combining position distribution, gradient distribution and gray level distribution of pixel points in the moving window of the direction abrupt change point, and further obtaining an abnormal circulation area; and carrying out image enhancement on the abnormal circulation area to obtain a final cardiovascular image, and carrying out surgical navigation and positioning on the cardiovascular image. According to the invention, the accuracy of real-time image navigation and positioning in the cardiovascular interventional operation is improved.

The invention relates to the technical field of garment matching recommendation, in particular to a garment matching recommendation method and system based on big data. The method comprises the following steps: acquiring clothes browsing historical data and input body type data of a user on an e-commerce platform, and performing clothes type grouping to obtain clothes type time sequence grouping data; on the basis, color and version information of different garment types is extracted, color-version data between the garment types is generated, the matching effect of the user body type and the version of the different garment types is analyzed according to the data, and matching proportion segmentation effect data is obtained. Secondly, optimizing the visual geometric gravity center deviation to obtain optimized geometric gravity center deviation data; and designing a personalized clothing recommendation strategy in combination with geometric gravity center deviation optimization data and matching effect data, thereby realizing accurate clothing matching recommendation. According to the invention, the garment matching recommendation technology is optimized, so that the garment matching recommendation technology is more accurate.

The invention discloses a bidding scheme generation method and system and computer equipment, and belongs to the technical field of electric digital data processing.The method comprises the following steps that a template matched with a bid invitation file is obtained, and a demand instance matched with a first chapter of the bid invitation file is preset in the template; obtaining a case matched with the bid invitation file; generating a second chapter through the large model according to the demand instance and the case; and generating a bidding scheme according to the second chapter. A bid invitation scheme is generated based on the large model, the bid invitation file and the case, the bid invitation file can be accurately understood, and key information is extracted from the bid invitation file; according to the case and the key information, the format specification, typesetting and language expression of the bidding scheme are kept, and it is ensured that the generated bidding scheme meets the bidding requirement; the manufacturing efficiency and the manufacturing effect of the bidding scheme are improved; the method can be used in artificial intelligence technical fields such as machine learning and natural language processing.

The invention relates to an image processing method and device, electronic equipment and a medium, and relates to the technical fields of image processing, satellite image processing and the like. The method comprises the steps that a to-be-processed image is acquired, and the to-be-processed image is an image needing to be subjected to color adjustment; the to-be-processed image is partitioned according to N rows and M columns, each partitioned image is obtained, the color cast value of each partitioned image is determined, each color cast value is obtained, and N and M are positive integers; based on the color cast value corresponding to each block image, color adjustment is carried out on the to-be-processed image through a histogram matching mode, and elimination operation is carried out on the spliced edge of the image after color adjustment to obtain a gray level image; and carrying out size adjustment on the grayscale image, inputting the grayscale image after size adjustment into a style migration neural network, and carrying out style migration to obtain a target image. According to the invention, efficient and automatic image color adjustment is realized, and the efficiency is improved.

The novel energy storage converter structure comprises a shell, a converter body is arranged in the shell, a control module is arranged at the front end of the upper layer of the converter body, a heat dissipation driving assembly is arranged at the rear end of the upper layer of the converter body, and a direct current module is arranged on the side face of the control module; a filtering module is arranged at the front end of the lower layer of the converter body, and a conductive part is arranged between the filtering module and the heat dissipation driving assembly. The converter is simple in structure, the internal structure is modularly designed, the interior of the converter is divided into a plurality of functional modules such as a heat dissipation driving assembly, a control module and a filtering module, the assembling efficiency is improved, and the reliability and maintainability of a system are improved; the cable failure rate and the maintenance cost are reduced due to the design of few cables, the internal structure of the product is neat and orderly, the product image is improved, and the system reliability is improved.

The invention discloses an intelligent project evaluation method supporting a custom standard and multi-dimensional semantic analysis. The method comprises the following steps: constructing an overall standard system according to a project evaluation standard; data arrangement, corpus cleaning, automatic sample generation, sample generation, index evaluation model design and model training are carried out on the basis of collected enterprise historical project materials, finally, an index evaluation model library is generated, and the index evaluation model library is managed in a mode of combining product life cycle management (PLM) and language model (LLM) so as to construct an index evaluation model; performing qualitative evaluation and quantitative evaluation on the enterprise project review material; and comprehensively considering the constructed evaluation standard system, the index evaluation model and the report content quality evaluation result, and intelligently generating a quality evaluation report. The method has the remarkable beneficial effects of improving the evaluation efficiency, reducing the cost, enhancing the evaluation accuracy and objectivity and the like.

The invention discloses a core page performance judgment method, electronic equipment, a medium and a product, and relates to the technical field of data analysis, the core page performance judgment method is applied to a business integrated management system, the business integrated management system is used for managing a client system, and the method comprises the following steps: for any sub-application system in the client system, identifying each core page in the sub-application system, and determining the core page performance of the sub-application system; determining each key user using the sub-application system; and determining whether the performance index of the core page of the sub-application system reaches the standard or not based on the user behavior data of the sub-application system, each key user and each core page. The technical problem of how to determine whether the performance of the core scene used by the core user is affected or not is solved.

The invention discloses a dynamic polyene amine compound as well as a preparation method and application thereof. The structural formula of the dynamic polyene amine compound is as shown in formula (I). The dynamic polyenamine compound is obtained by carrying out polymerization reaction on a binary amide activated alkynyl compound and a diamine compound in an organic solvent. The preparation method has the advantages of mild reaction conditions, no need of catalyst, simple and easily available raw materials, high atom utilization rate, high polymer yield, high molecular weight and excellent stereoselectivity. The dynamic polyene amine compound prepared by the invention has the properties of good processability, film-forming property, high thermal stability, non-traditional luminescence and the like, and the dynamic enamine bond contained in the dynamic polyene amine compound prepared by the invention can realize accurate degradation and structural replacement of a polymer under mild conditions.

The invention relates to the technical field of education and artificial intelligence application, in particular to a public opinion big data driven kindergarten management intelligent system, which comprises a data collection module, a data analysis module, an optimal case library construction module, a question classification module, an automatic reply generation module, a public opinion monitoring module and a satisfaction evaluation module. Wherein the data collection module is used for collecting interactive data between parents and kindergartens, including e-mails, short messages and social media messages, and transmitting the data to the central database for unified management; and the data analysis module is connected with the central database and is used for extracting themes, emotions and information points of the questions so as to evaluate the importance and the emergency degree of the questions. According to the invention, through real-time monitoring of social media and online feedback, automatic reply generation and deep satisfaction evaluation, the response efficiency of the kindergarten and the satisfaction of parents are significantly improved, and the public image of the kindergarten is effectively maintained and improved.

The invention relates to the technical field of circulating cooling water systems, and particularly discloses a circulating cooling water online monitoring intelligent response system which comprises a water quality parameter acquisition and analysis module, a water hardness data acquisition and analysis module, an influence relation analysis module and a scale inhibitor dosage control and adjustment module, the water quality parameter acquisition and analysis module is used for acquiring the pH value, the conductivity and the turbidity of cooling water and judging the water quality state according to the pH value, the conductivity and the turbidity; the water hardness data acquisition and analysis module is used for acquiring calcium ion and magnesium ion concentrations, calculating a unit water hardness value and further judging a water hardness state; the influence relation analysis module analyzes the interaction relation according to the state signals of the water quality and the water hardness; the water quality and water hardness change of the circulating cooling water system can be effectively monitored, efficient and stable operation of the system is guaranteed through automatic control, the maintenance cost and the chemical consumption are reduced, and remarkable energy-saving and environment-friendly benefits are achieved.

The application provides an image-side telecentric F-Theta scanning lens and application thereof, and relates to the technical field of optical imaging. The image-side telecentric F-Theta scanning lens comprises a diaphragm, a first positive lens, a second negative lens, a third positive lens, a fourth negative lens and a fifth positive lens which are coaxially arranged in sequence along the light path propagation direction. The fourth negative lens and the fifth positive lens are glued to form a glued double lens, and share one glued surface. The diaphragm is located at the front of the lens, is spaced apart from the first lens by 36.71 mm, and serves as an aperture diaphragm of the system to limit the incident light beam. The image-side telecentric F-Theta scanning lens provided by the application not only has a simple structure, but also is applied to scenes such as hyperspectral microscopic imaging, multi-waveband fluorescent microscopic imaging and wide-waveband industrial detection, and can realize low-distortion, image-side telecentric high-quality scanning imaging in a wide spectral range, so as to meet the strict requirements of the microscopic imaging system on large-field uniform illumination and accurate geometric measurement.

The invention belongs to the technical field of petroleum coke blending process optimization, and particularly relates to a petroleum coke blending process optimization system, which comprises a multi-dimensional raw material database construction module used for collecting, integrating and standardizing multi-dimensional data including physical and chemical properties, production places, production processes, historical use effects, environmental adaptability and the like of petroleum coke raw materials, a comprehensive raw material database is formed; a deep learning-driven intelligent blending decision-making module which uses a deep learning algorithm to train a blending prediction model, combines a multi-objective optimization algorithm, comprehensively considers product quality, cost benefits, environmental protection requirements and market trends, and generates an optimal blending scheme; advanced technologies such as deep learning, a multi-objective optimization algorithm and automation equipment integration are introduced, so that the whole optimization system can automatically complete the steps of raw material proportioning, conveying, blending and the like in the petroleum coke blending process, and the intelligent level and the production efficiency of the blending process are remarkably improved.

The utility model belongs to the field of building construction, and particularly relates to a ditch cable trough template fixing device relying on a duct piece bolt, which comprises a cross beam and a carrying pole beam arranged on the cross beam in a sliding mode. The two ends of the cross beam are connected with circumferential bolts of the duct pieces; and the carrying pole beam is connected with a pressing beam of the ditch cable trough template. According to the device, on the premise that expansion bolts are forbidden to be arranged on the concrete duct piece in a driving mode, operability and convenience of reinforcement of the ditch cable trough formwork are fully considered, potential quality hazards are eliminated, applicability of the ditch cable trough formwork is enhanced, the quality requirement for protection of a finished concrete duct piece product is met, it is ensured that the duct piece is attractive in appearance, and the overall image of a tunnel is improved.

The invention relates to an AI noise reduction method for improving a night signal-to-noise ratio. The method comprises the following steps: step 1, obtaining original raw data of a night image and carrying out noise reduction processing; 2, performing statistics on gain information of the original raw data, and generating a fusion proportion aiming at the current gain information; 3, performing statistics on motion information of the original raw data, and generating a motion curve fusion proportion aiming at the current motion information; 4, counting the brightness distribution information of the current raw data, and generating a brightness curve fusion proportion for the brightness distribution information; and step 5, generating final raw data after noise reduction based on the data after noise reduction obtained in the step 1 and the three fusion curves obtained in the steps 2-4. The technical problems that the noise form is not good under low illumination, and motion smear is caused in order to solve the noise problem are solved.

The utility model discloses an instrument board bill box structure, and belongs to the technical field of passenger car parts. The bill box comprises a bill box body installed at a box opening formed in a right lower protection plate body. The bill box body comprises a panel and a side wall which is fixedly connected with the panel and extends towards the inner side of the box opening. The side wall and the panel enclose to form a storage cavity with an opening in the top end; a hook structure in hooking connection with a fixing shaft on the right lower protection plate body is formed at the bottom end of the side wall, the hook structure can rotate around the fixing shaft, locking mechanisms are fixedly connected to the two sides of the side wall, and the side wall is clamped with or separated from an elastic piece fixedly connected to the top end of the right lower protection plate body through the locking mechanisms; limiting columns are fixedly connected to the edges, away from the panel side, of the side walls, and limiting stop blocks are arranged at the positions, corresponding to the limiting columns, of the lower right protection plate body.

The utility model belongs to the technical field of electric car couplers, and particularly relates to a rear cover sealing structure of an electric car coupler. According to the technical scheme, the electric coupler rear cover sealing structure comprises a shell and a rear cover, the shell and the rear cover are connected through a bolt, a limiting table is arranged at the position of a bolt hole in the side, close to the rear cover, of the shell, the limiting table is sleeved with a sealing gasket, and the sealing gasket is pressed between the shell and the rear cover. The utility model provides a sealing structure for a rear cover of an electric car coupler, which ensures sealing, avoids unqualified locking torque of a bolt after aging, ensures that compression of a sealing gasket meets design requirements, and avoids a glue extrusion phenomenon caused by overpressure of the sealing gasket.

The utility model discloses a cigarette case capable of preventing loose ends of cigarettes, and belongs to the field of cigarette cases. According to the technical scheme, the cigarette case capable of preventing the loose ends of the cigarettes comprises a cigarette case body, a containing cavity used for containing the cigarettes is formed in the cigarette case body, a blocking part is arranged in the containing cavity, and the blocking part abuts against the tail ends of the cigarettes so as to support and limit tobacco shreds at the tail ends of the cigarettes. The tail end of the cigarette and the tobacco shreds at the tail end can abut against the blocking part, the blocking part blocks and limits the tail end of the cigarette, and the phenomenon that the tobacco shreds at the tail end loosen and fall off to cause the loose end of the tail end of the cigarette is avoided. The bottom space of the containing cavity is heightened through the blocking part, so that the moving space of the cigarette in the containing cavity can be reduced, the shaking amplitude of the cigarette is reduced, tobacco shreds at the tail end of the cigarette are further prevented from loosening and falling off, the phenomenon of loose ends of the cigarette is greatly reduced, the product image is improved, and the smoking experience of consumers is improved.