Oil smoke purifying and filtering method

Abstract

The invention discloses a cooking fume purifying and filtering method, and relates to the technical field of cooking fume purification, and the cooking fume purifying and filtering method comprises the following steps: acquiring cooking fume component data in to-be-detected gas, and preprocessing the cooking fume component data; based on the preprocessed cooking fume component data, constructing a cooking fume component analysis model and analyzing the cooking fume component data; a purification strategy library is preset, a corresponding purification strategy is matched with the purification strategy library in combination with a result obtained after component analysis, and purification is conducted; dynamically adjusting purification parameters in a purification strategy library based on the purification result; the cooking fume component analysis result, the purification strategy and the purification result are displayed in real time through a user interface. According to the method, the cooking fume component analysis model is constructed, the purification strategy is accurately matched by utilizing the comprehensive cooking fume component characteristic values, and meanwhile, the parameters are dynamically adjusted and the strategy library is updated in combination with the purification result, so that the cooking fume purification is accurate, efficient and energy-saving, and the problems that a traditional method is insufficient in pertinence, high in energy consumption and unstable in effect are solved.

Description

Technical Field

[0001] The invention relates to the technical field of oil fume purification, in particular to an oil fume purification and filtering method. Background Art

[0002] With increasingly stringent environmental protection requirements, oil fume purification technology has become an important part of air pollution prevention and control. In the catering industry and various industrial production processes, oil fume emissions are a common problem that needs to be solved urgently. Oil fume contains not only oil and particulate matter, but also volatile organic compounds and odor-producing components. If it is directly discharged into the atmosphere without effective treatment, it will not only cause serious pollution to air quality and endanger human health, but may also cause a series of environmental problems. Existing equipment mostly adopts a fixed purification mode and cannot adjust the purification parameters according to the dynamic changes of oil fume components, resulting in decreased purification efficiency under high-concentration conditions or energy waste under low-concentration conditions. Traditional systems rely on manual regular maintenance and parameter adjustment, lack the real-time perception and analysis capabilities of multi-dimensional data such as oil fume composition, temperature, humidity, and flow, and are difficult to cope with sudden pollution peaks or complex working conditions. Although chemical purification can efficiently treat VOCs, it requires high temperature conditions and high energy consumption; physical purification has low energy consumption but is prone to saturation and failure.

[0003] However, current common solutions have many shortcomings, including: existing oil fume purification equipment usually adopts a fixed purification strategy and is unable to dynamically adjust purification parameters according to real-time changes in oil fume composition. Regardless of the concentration of pollutants in the oil fume or how the composition changes, the equipment operates according to a preset fixed mode, resulting in poor purification effect and possible energy waste. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the problems existing in the above-mentioned existing oil fume purification and filtering method, the present invention is proposed.

[0006] Therefore, the purpose of the present invention is to provide an oil fume purification and filtration method, which is suitable for solving the problem that existing oil fume purification equipment usually adopts a fixed purification strategy and cannot dynamically adjust the purification parameters according to the real-time changes of oil fume components. Regardless of the concentration of pollutants in the oil fume or how the components change, the equipment operates according to a preset fixed mode, resulting in poor purification effect and possible waste of energy. The purification strategies in the existing technology are relatively single, and most of them only adopt one of physical purification or chemical purification, and cannot give full play to the advantages of different purification methods.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, an embodiment of the present invention provides an oil fume purification and filtration method, which includes obtaining oil fume component data in the gas to be tested and preprocessing the oil fume component data; constructing an oil fume component analysis model based on the preprocessed oil fume component data and analyzing the oil fume component data; presetting a purification strategy library, combining the results after component analysis with the purification strategy library to match the corresponding purification strategy and perform purification; dynamically adjusting the purification parameters in the purification strategy library based on the purification results; and displaying the oil fume component analysis results, purification strategy and purification results in real time through a user interface.

[0008] As a preferred embodiment of the oil fume purification and filtration method of the present invention, the oil fume composition data includes volatile organic compounds, combustion by-products, oil decomposition products, and temperature and humidity; the oil fume composition model is constructed based on the preprocessed oil fume composition data, and the oil fume composition model is used to analyze the components; the oil fume composition data is acquired through a gas sensor, a particulate matter sensor, an oil concentration sensor, and a temperature and humidity composite sensor; the purification strategy library includes physical purification strategies, chemical purification strategies, and physical and chemical comprehensive purification strategies.

[0009] As a preferred solution of the oil fume purification and filtration method described in the present invention, the specific steps of constructing the oil fume component analysis model are as follows: by introducing the degree of component correlation, the synergistic effect between different components is quantified; by introducing the relative importance coefficient, the component concentration is converted into an importance weight with logarithmic compression characteristics; by combining the degree of component correlation and the relative importance coefficient, the oil fume component analysis model is constructed, and the comprehensive oil fume component characteristic value is obtained through the oil fume component analysis model.

[0010] As a preferred embodiment of the oil fume purification and filtration method of the present invention, the specific formula of the oil fume component analysis model is as follows: ; in, For the Comprehensive characteristic values ​​of oil smoke components in dimensions; For the The relative importance coefficients of various oil fume components; For the The oil smoke components and The correlation between the various oil fume components.

[0011] As a preferred embodiment of the oil fume purification and filtration method of the present invention, the specific situation of the comprehensive oil fume component characteristic value is as follows: When it is 0, it means The comprehensive oil fume component characteristic value of a dimension is 0, indicating that the oil fume component corresponding to this dimension has neither its own importance in the entire oil fume component system nor any correlation with other oil fume components; when the comprehensive oil fume component characteristic value is When the value is between 0 and 1, it means that the component corresponding to this dimension has its own importance and is also related to other components. When it is 1, it means that the component corresponding to this dimension occupies an absolute dominant position in the entire oil fume component system, and the relative importance coefficients of other components are all 0.

[0012] As a preferred solution of the oil fume purification and filtration method of the present invention, wherein: combining the results of component analysis with the purification strategy library to match the corresponding purification strategy and perform purification, the specific steps are as follows: according to the comprehensive oil fume component characteristic value The interval matches the corresponding purification strategy type: when the comprehensive oil smoke component characteristic value When it is 0, the relative importance coefficient of the oil fume component corresponding to this dimension is 0, and the degree of correlation with other components is 0, which has no effect on the overall pollutants. The physical purification strategy is enabled to maintain the minimum operating parameters. When the comprehensive oil fume component characteristic value is When the value is between 0 and 1, the oil fume component corresponding to this dimension has its own importance and is associated with other components, forming a complex pollution pattern. A physical and chemical comprehensive purification strategy is adopted. According to the comprehensive oil fume component characteristic value Specific values ​​dynamically adjust the purification parameters of the physical and chemical modules; when the comprehensive characteristic value of the oil smoke components When it is 1, the oil fume component corresponding to this dimension occupies an absolute dominant position, and the relative importance coefficients of other oil fume components are all 0. The chemical purification strategy is enabled and the highest power parameter is started.

[0013] As a preferred solution of the oil fume purification and filtration method described in the present invention, the purification parameters in the purification strategy library are dynamically adjusted based on the purification results, including the following steps: collecting the oil fume component data after purification through a sensor, recalculating the comprehensive oil fume component characteristic value, and comparing the comprehensive oil fume component characteristic value before and after purification; if the comprehensive oil fume component characteristic value after purification is less than the first threshold value, adjusting the purification parameters in combination with the relative importance coefficient and component correlation degree of the non-compliant components: for the non-compliant components whose relative importance coefficients meet the preset high value conditions, strengthening the purification parameters of their corresponding purification strategies; for the non-compliant component combinations whose component correlation degrees meet the preset high value conditions, optimizing the purification parameters in the physical and chemical comprehensive purification strategy; incorporating the adjusted purification parameters into the purification strategy library, and updating the purification parameter baseline values ​​corresponding to the comprehensive characteristic value intervals; the strategy library retains three strategy types: physical purification, chemical purification, and physical and chemical comprehensive purification, and only updates the specific operation purification parameters; verifying the purification effect of the updated purification parameters, and solidifying the purification parameters if the comprehensive oil fume component characteristic value meets the standard; if it does not meet the standard, repeating the above adjustment process until the purification requirements are met.

[0014] In the second aspect, in order to further solve the above-mentioned technical problems, the present invention provides an oil fume purification and filtration system in an embodiment, which includes: a data acquisition module for acquiring oil fume component data and performing preprocessing; a model construction module for constructing an oil fume component analysis model and analyzing the characteristics of the oil fume components; an oil fume purification module for combining the results after component analysis with the purification strategy library to match the corresponding purification strategy and perform purification; a parameter adjustment module for dynamically adjusting purification parameters based on the purification results; and an interface display module for displaying the oil fume component analysis results, purification strategy and purification results in real time through a user interface.

[0015] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the oil fume purification and filtration method as described in the first aspect of the present invention is implemented.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the oil fume purification and filtration method as described in the first aspect of the present invention is implemented.

[0017] The beneficial effects of the present invention are as follows: the present invention constructs an oil fume component analysis model that includes component correlation degrees and relative importance coefficients, utilizes comprehensive oil fume component characteristic values ​​to achieve precise matching of purification strategies, enables the lowest physical purification parameters for non-influenced components, adopts a physical and chemical comprehensive strategy for complex pollution components and dynamically adjusts purification parameters, enables the highest chemical purification power parameters for core dominant components, and dynamically adjusts parameters and updates the strategy library based on purification results, thereby achieving precise, efficient and energy-saving oil fume purification, solving the problems of insufficient pertinence, high energy consumption and unstable effects of traditional methods, and improving controllability through user interface visualization, adapting to the needs of multiple scenarios, and having significant practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them: Figure 1 This is a flow chart for implementing the present invention in Example 1.

[0019] Figure 2 This is the dynamic adjustment diagram in Example 1. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0021] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0022] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0023] Example 1 Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a method for purifying and filtering oil smoke, comprising the following steps: S1: Obtain the oil fume component data in the gas to be tested and pre-process the oil fume component data.

[0024] Specifically, the oil smoke composition data includes volatile organic compounds, combustion by-products, oil decomposition products, and temperature and humidity.

[0025] Furthermore, a fume composition model is constructed based on the preprocessed fume composition data, and the fume composition model is used to analyze the composition.

[0026] Furthermore, the oil fume composition data is obtained through gas sensors, particulate matter sensors, oil concentration sensors and temperature and humidity composite sensors.

[0027] Specifically, the preprocessing of oil fume composition data involves filtering outliers, smoothing noise, calibrating temperature and humidity, correcting sensor bias, unifying dimensions, and extracting key features from data obtained through gas, particulate matter, oil concentration, and temperature and humidity sensors, in order to generate high-quality data for model analysis.

[0028] For example, when frying food in a commercial kitchen, gas sensors detect the concentration of volatile organic compounds and combustion by-products, oil concentration sensors obtain oil decomposition product data, and temperature and humidity sensors record ambient temperature and humidity. During preprocessing, abnormal sensor jump values ​​are eliminated, data fluctuations are smoothed using a filtering algorithm, and the concentration of volatile organic compounds is corrected in combination with temperature and humidity. All data are normalized and key features such as oil concentration peaks are extracted to form high-quality data that can be used for model analysis.

[0029] S2: Based on the preprocessed oil fume composition data, a oil fume composition analysis model is constructed and the oil fume composition data is analyzed.

[0030] Preferably, the specific steps of constructing the oil smoke component analysis model are as follows: By introducing the degree of component correlation, the synergistic effect between different components is quantified, providing a data basis for capturing the characteristics of complex pollution. The specific formula is as follows: ; Where, For the The oil smoke components and The degree of correlation between the various oil fume components; is obtained from the sensor and preprocessed Concentration values ​​of various oil fume components; is obtained from the sensor and preprocessed Concentration values ​​of various oil fume components; For the The concentration of various oil smoke components; For the The concentration of various oil smoke components.

[0031] By introducing the relative importance coefficient, the component concentration is converted into an importance weight with logarithmic compression characteristics, avoiding the excessive dominance of high-concentration components on the overall characteristics and realizing the priority identification of high-hazard components. The specific formula is as follows: ; Where, For the The relative importance coefficients of various oil fume components; is obtained from the sensor and preprocessed Concentration values ​​of various oil fume components; is the total number of types of oil fume components; For the The concentration of various oil smoke components.

[0032] The oil fume component analysis model is constructed by combining the component correlation degree and relative importance coefficient, and the comprehensive oil fume component characteristic value is obtained through the oil fume component analysis model.

[0033] Specifically, the specific formula of the oil smoke component analysis model is as follows: ; in, For the Comprehensive characteristic values ​​of oil smoke components in dimensions; For the The relative importance coefficients of various oil fume components; For the The oil smoke components and The correlation between the various oil fume components.

[0034] Preferably, the specific situation of the comprehensive characteristic value of the oil smoke components is as follows: When the comprehensive characteristic value of oil smoke components When it is 0, it means The comprehensive oil fume component characteristic value in each dimension is 0, indicating that the oil fume component corresponding to this dimension has neither its own importance in the entire oil fume component system nor any correlation with other oil fume components. This component has no significant effect on the overall characteristics of oil fume pollution. The purification system can ignore this dimension to save processing resources.

[0035] When the comprehensive characteristic value of oil smoke components When it is between 0 and 1, it means that the component corresponding to this dimension has its own importance and is also correlated with other components. It may form a complex pollution pattern with other components. It is necessary to consider the synergistic removal of this component and related components in the purification strategy based on the specific numerical value of the comprehensive oil fume component characteristic value.

[0036] When the comprehensive characteristic value of oil smoke components When it is 1, it means that the component corresponding to this dimension occupies an absolute dominant position in the entire oil fume component system, and the relative importance coefficients of other components are 0. The component corresponding to this dimension is the core factor of oil fume pollution, and the purification system needs to prioritize resource concentration, such as strengthening the power of chemical purification strategies or adding dedicated adsorption devices.

[0037] Preferably, it solves the problems of blind spots in complex pollution identification (such as ignoring the synergistic hazards of oil and VOCs) and "high-concentration, low-hazard components misjudged as core pollution" caused by "relying only on the concentration of a single component" in the existing technology, providing a scientific basis for subsequent strategy matching.

[0038] For example, based on the data after S1 preprocessing, the correlation degree between oil decomposition products and combustion by-products was calculated to be 0.6, and the relative importance coefficient of volatile organic compounds was 0.5; the comprehensive oil fume component characteristic value calculated by the model formula was 0.5, which is between 0 and 1, indicating that this dimensional component has its own importance and is correlated with other components, which may form complex pollution and needs to be taken into account in the purification strategy.

[0039] S3: Preset the purification strategy library, combine the results of component analysis with the purification strategy library to match the corresponding purification strategy and perform purification.

[0040] Furthermore, the purification strategy library includes physical purification strategies, chemical purification strategies, and physical and chemical comprehensive purification strategies.

[0041] Preferably, the results of the component analysis are combined with the purification strategy library to match the corresponding purification strategy and perform purification. The specific steps are as follows: According to the comprehensive characteristic value of oil smoke components The interval matches the corresponding purification strategy type: When the comprehensive characteristic value of oil smoke components When it is 0, the relative importance coefficient of the oil fume component corresponding to this dimension is 0, and the degree of correlation with other components is 0, which has no impact on the overall pollutants. The physical purification strategy is enabled to maintain the minimum operating parameters (such as the default filtration wind speed and conventional centrifugal speed).

[0042] When the comprehensive characteristic value of oil smoke components When the value is between 0 and 1, the oil fume component corresponding to this dimension has its own importance and is associated with other components, forming a complex pollution pattern. A physical and chemical comprehensive purification strategy is adopted. According to the comprehensive oil fume component characteristic value Specific values ​​dynamically adjust the purification parameters of the physical and chemical modules: When 0< When ≤0.3, the oil fume components corresponding to this dimension have weak correlation with other oil fume components, the importance of a single component is low, and it presents mild complex pollution. A lightweight physical and chemical comprehensive strategy is adopted, with the physical module as the main and the chemical module as the auxiliary.

[0043] When 0.3< When ≤0.7, the oil fume components corresponding to this dimension are obviously correlated with other oil fume components, and there is a synergistic effect, which presents a medium-level complex pollution. A balanced physical and chemical comprehensive strategy is adopted, with the physical and chemical modules running in coordination and the weights of the two being balanced.

[0044] When 0.7< When <1, the oil fume components corresponding to this dimension are closely related to other oil fume components, and the proportion of high-hazard components is significant, presenting a strong complex pollution. An enhanced physical and chemical comprehensive strategy is adopted, with the chemical module as the main and the physical module as the auxiliary. The auxiliary purification module is activated when necessary.

[0045] When the comprehensive characteristic value of oil smoke components When it is 1, the oil fume component corresponding to this dimension occupies an absolute dominant position, and the relative importance coefficients of other oil fume components are all 0. The chemical purification strategy is enabled and the highest power parameter is started.

[0046] Preferably, it breaks through the limitations of the existing technology of "fixed strategy" or "single threshold strategy" and realizes "allocation of purification resources on demand" - it avoids ineffective energy consumption on non-impact components, and strengthens the removal of complex pollution through collaborative strategies, while giving priority to the treatment of core high-hazard components, significantly improving purification efficiency and reducing energy consumption.

[0047] For example, according to the comprehensive characteristic value of 0.5 obtained by S2, a balanced physical and chemical comprehensive purification strategy is matched; the physical module operates at a conventional filtering wind speed, and the chemical module maintains a medium catalytic power. The weights of the two are balanced, and they synergistically treat the oil fume components of complex pollution to ensure that oil decomposition products and volatile organic compounds are effectively removed.

[0048] S4: Dynamically adjust the purification parameters in the purification strategy library based on the purification results.

[0049] Preferably, dynamically adjusting the purification parameters in the purification strategy library based on the purification results includes the following steps: The sensor collects the oil fume component data after purification, recalculates the comprehensive oil fume component characteristic value, compares the comprehensive oil fume component characteristic value before and after purification, and determines whether the purification effect meets the preset standard.

[0050] If the comprehensive characteristic value of the oil smoke components after purification is less than the first threshold, the purification parameters are adjusted based on the relative importance coefficient of the non-compliant components and the degree of component correlation: For non-compliant components whose relatively important coefficients meet the preset high value conditions, the core purification parameters of the corresponding purification strategies (filtration parameters for physical purification strategies and reaction parameters for chemical purification strategies) are strengthened.

[0051] For substandard component combinations whose component correlation degree meets the preset high value conditions, optimize the purification parameters (operation ratio, timing control) of each module in the physical and chemical comprehensive purification strategy.

[0052] The adjusted purification parameters are incorporated into the purification strategy library, and the purification parameter benchmark values ​​corresponding to the comprehensive characteristic value interval are updated: If the purification parameters of a certain interval are stable and effective after multiple verifications, the default strategy purification parameters of the interval are replaced with the optimized purification parameters.

[0053] The strategy library retains three strategy types: physical purification, chemical purification, and physical and chemical comprehensive purification, and only updates the specific operation purification parameters.

[0054] The purification effect of the updated purification parameters is verified. If the comprehensive characteristic value of the oil fume components meets the standard, the purification parameters are solidified.

[0055] If the standard is not met, repeat the above adjustment process until the purification requirements are met.

[0056] Furthermore, the purification parameter reference value refers to the initial operating parameter standard value of the corresponding purification strategy preset in the purification strategy library for different comprehensive oil fume component characteristic value intervals.

[0057] For example, after purification, the sensor collects data and recalculates the comprehensive characteristic value to be 0.45, which does not meet the preset standard; because the relative importance coefficient of volatile organic compounds meets the high value condition, the catalytic power of its corresponding chemical module is enhanced, and it has a high degree of correlation with the decomposition products of oils and fats, and the operation ratio of the physical and chemical modules is optimized; the adjusted parameters are included in the strategy library, and the corresponding interval benchmark values ​​are updated. After verification, the parameters are solidified.

[0058] S5: The oil fume component analysis results, purification strategy and purification results are displayed in real time through the user interface.

[0059] Preferably, the specific steps for the user interface to display the oil fume component analysis results and purification strategy in real time are as follows: Design the overall layout of the user interface and rationally divide it into three functional areas: Real-time data area: Use dynamic curves to display the changing trends of the concentration of each fume component, relative importance coefficient and comprehensive characteristic value.

[0060] Strategy display area: displays the currently enabled purification strategy type (physical / chemical / comprehensive) and purification parameters (such as current catalytic temperature and filtration wind speed) in the form of icons + text.

[0061] Historical query area: Reserved timeline and component type filtering entrances, allowing users to review analysis results and strategy records for a specific period of time.

[0062] Select display elements based on data type: numerical data (such as concentration, parameter value) use a dashboard or digital counter.

[0063] The relative importance coefficient and component correlation degree are used to visually present the component synergy strength using heat maps.

[0064] The comprehensive characteristic value uses three-color indicator lights in green, yellow and red to indicate the pollution level.

[0065] Users can click on strategy entries to view detailed principles (such as "Physical and Chemical Integrated Strategy: Filter Interception + Catalytic Oxidation Synergistic Mechanism"), and manually filter historical data for specific components (such as volatile organic compounds).

[0066] Ensure data security: Use encrypted transmission protocol to process interface data and restrict unauthorized users' access to parameter adjustment records.

[0067] Preferably, users can intuitively understand the operation status and purification effect of the oil fume purification equipment, and timely grasp the changes in oil fume components and the current purification strategy adopted. Users can adjust the cooking method or equipment operating parameters in time according to this information, and it is also convenient for users to manage and maintain the equipment.

[0068] For example, the real-time data area of ​​the user interface uses dynamic curves to display the changes in the concentration of each oil fume component and the comprehensive characteristic value. The strategy display area uses icons and text to display the currently enabled balanced physical and chemical comprehensive strategy and parameters such as catalytic power and filtration wind speed. The historical query area supports users to filter data for specific time periods; the component correlation strength is presented through a heat map, and the comprehensive characteristic value uses a yellow indicator light to indicate moderate pollution. Users can click to view the strategy principle and intuitively understand the equipment operation status.

[0069] In summary, the present invention constructs an oil fume component analysis model that includes the degree of component correlation and relative importance coefficients, uses the comprehensive oil fume component characteristic values ​​to achieve accurate matching of purification strategies, enables the lowest physical purification parameters for non-influenced components, adopts a physical and chemical comprehensive strategy for complex pollution components and dynamically adjusts the purification parameters, enables the highest chemical purification power parameters for core dominant components, and dynamically adjusts the parameters and updates the strategy library based on the purification results, thereby achieving precise, efficient and energy-saving oil fume purification, solving the problems of insufficient pertinence, high energy consumption and unstable effects of traditional methods, and improving controllability through user interface visualization, adapting to the needs of multiple scenarios, and having significant practical value.

[0070] Example 2. This embodiment also provides an oil fume purification and filtration system, including: a data acquisition module for acquiring oil fume component data and performing preprocessing; a model construction module for constructing an oil fume component analysis model and analyzing the characteristics of the oil fume components; an oil fume purification module for combining the results of the component analysis with the purification strategy library to match the corresponding purification strategy and perform purification; a parameter adjustment module for dynamically adjusting purification parameters based on the purification results; and an interface display module for displaying the oil fume component analysis results, purification strategy and purification results in real time through a user interface.

[0071] Example 3 is an embodiment of the present invention, which is different from the previous embodiment in that: If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0072] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0073] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, and then editing, interpreting, or processing in another suitable manner as necessary, and then storing it in a computer memory.

[0074] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A fume purification and filtering method, characterized in that: include: Acquiring oil fume component data in the gas to be tested, and preprocessing the oil fume component data; Based on the preprocessed oil fume component data, a oil fume component analysis model is constructed and the oil fume component data is analyzed; Preset the purification strategy library, combine the results of component analysis with the purification strategy library to match the corresponding purification strategy and perform purification; Dynamically adjust the purification parameters in the purification strategy library based on the purification results; The oil fume composition analysis results, purification strategies and purification results are displayed in real time through the user interface.

2. The oil fume purification and filtering method according to claim 1, wherein: The oil smoke component data includes volatile organic compounds, combustion by-products, oil decomposition products, and temperature and humidity; The oil fume component model is constructed based on the pre-processed oil fume component data, and the oil fume component model is used to analyze the components; The oil smoke composition data is obtained through a gas sensor, a particulate matter sensor, an oil concentration sensor, and a temperature and humidity composite sensor; The purification strategy library includes physical purification strategies, chemical purification strategies and physical and chemical comprehensive purification strategies.

3. The oil fume purification and filtering method according to claim 2, characterized in that: The specific steps of constructing the oil smoke component analysis model are as follows: By introducing the degree of component association, the synergistic effect between different components can be quantified; By introducing the relative importance coefficient, the component concentration is converted into an importance weight with logarithmic compression characteristics; The oil fume component analysis model is constructed by combining the component correlation degree and relative importance coefficient, and the comprehensive oil fume component characteristic value is obtained through the oil fume component analysis model.

4. The oil fume purification and filtering method according to claim 3, wherein: The specific formula of the oil smoke component analysis model is as follows: ； in, For the Comprehensive characteristic values ​​of oil smoke components in dimensions; For the The relative importance coefficients of various oil fume components; For the The oil smoke components and The correlation between the various oil fume components.

5. The oil fume purification and filtering method according to claim 4, characterized in that: The specific situation of the comprehensive oil smoke component characteristic value is as follows: When the comprehensive characteristic value of oil smoke components When it is 0, it means The comprehensive oil fume component characteristic value of a dimension is 0, indicating that the oil fume component corresponding to this dimension has neither its own importance in the entire oil fume component system nor any correlation with other oil fume components. When the comprehensive characteristic value of oil smoke components When it is between 0 and 1, it means that the component corresponding to this dimension has its own importance and is also related to other components; When the comprehensive characteristic value of oil smoke components When it is 1, it means that the component corresponding to this dimension occupies an absolute dominant position in the entire oil fume component system, and the relative importance coefficients of other components are all 0.

6. The oil fume purification and filtering method according to claim 4, characterized in that: Combine the results of component analysis with the purification strategy library to match the corresponding purification strategy and perform purification. The specific steps are as follows: According to the comprehensive characteristic value of oil smoke components The interval matches the corresponding purification strategy type: When the comprehensive characteristic value of oil smoke components When it is 0, the relative importance coefficient of the oil smoke component corresponding to this dimension is 0, and the degree of correlation with other components is 0, which has no impact on the overall pollutants. The physical purification strategy is enabled to maintain the minimum operating parameters; When the comprehensive characteristic value of oil smoke components When the value is between 0 and 1, the oil fume component corresponding to this dimension has its own importance and is associated with other components, forming a complex pollution pattern. A physical and chemical comprehensive purification strategy is adopted. According to the comprehensive oil fume component characteristic value Specific numerical values ​​dynamically adjust the purification parameters of the physical and chemical modules; When the comprehensive characteristic value of oil smoke components When it is 1, the oil fume component corresponding to this dimension occupies an absolute dominant position, and the relative importance coefficients of other oil fume components are all 0. The chemical purification strategy is enabled and the highest power parameter is started.

7. The oil fume purification and filtering method according to claim 1, wherein: Dynamically adjusting the purification parameters in the purification strategy library based on the purification results includes the following steps: The sensor collects the oil fume component data after purification, recalculates the comprehensive oil fume component characteristic value, and compares the comprehensive oil fume component characteristic values ​​before and after purification; If the comprehensive oil fume component characteristic value after purification is less than the first threshold, the purification parameters are adjusted based on the relative importance coefficient of the non-compliant components and the degree of component correlation: For non-compliant components whose relative importance coefficients meet the preset high value conditions, strengthen the purification parameters of the corresponding purification strategies; Optimize the purification parameters in the physical and chemical comprehensive purification strategy for substandard component combinations whose component correlations meet the preset high value conditions; The adjusted purification parameters are incorporated into the purification strategy library, and the purification parameter benchmark values ​​corresponding to the comprehensive characteristic value interval are updated; The strategy library retains three strategy types: physical purification, chemical purification, and physical and chemical comprehensive purification, and only updates the specific operation purification parameters; Verify the purification effect of the updated purification parameters. If the comprehensive oil fume component characteristic value meets the standard, the purification parameters will be fixed. If the standard is not met, repeat the above adjustment process until the purification requirements are met.

8. A fume purification and filtration system, based on the fume purification and filtration method according to any one of claims 1 to 7, characterized in that: include, Data acquisition module, used to obtain oil smoke composition data and perform preprocessing; Model building module, used to build a fume component analysis model and analyze the characteristics of fume components; The oil fume purification module is used to combine the results of component analysis with the purification strategy library to match the corresponding purification strategy and perform purification; Parameter adjustment module, used to dynamically adjust purification parameters based on purification results; The interface display module is used to display the oil fume component analysis results, purification strategies and purification results in real time through the user interface.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the oil fume purification and filtering method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the oil fume purification and filtering method according to any one of claims 1 to 7 are implemented.

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