Environment-friendly cooking fume purification and air exhaust method and system for kitchen

Abstract

The invention discloses a kitchen environment-friendly oil smoke purification air exhaust method and system, and belongs to the technical field of oil smoke purification air exhaust, and the method comprises the steps: obtaining two-dimensional temperature matrix data of a cooking bench plane, and calculating suction focus coordinates and a total heat flux value based on the two-dimensional temperature matrix data; the inlet concentration and the outlet concentration of pollutants at the inlet and the outlet of the purification channel are obtained, and the current purification rate is calculated according to the inlet concentration and the outlet concentration; determining a target opening degree of each air valve in an air valve array according to the suction focus coordinate, and determining a target air exhaust volume according to the total heat flux value; and the purification rate deviation is determined based on the current purification rate, the basic voltage adjustment amount is calculated through a control algorithm, the basic voltage adjustment amount is compensated and corrected in combination with the total heat flux value, and the final voltage adjustment amount is obtained. The purification voltage is compensated and corrected by introducing the total heat flux, the change of the oil smoke load can be responded in advance, and the purification performance is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil fume purification and exhaust technology, and in particular to an environmentally friendly kitchen oil fume purification and exhaust method and system. Background Art

[0002] The core function of kitchen fume purification and exhaust equipment is to efficiently capture and purify pollutants generated during the cooking process. Its technological development has evolved from basic functions to intelligent control. Early equipment mainly relied on high-power fans to generate negative pressure, and optimized the aerodynamic shape of the smoke collection chamber to improve the overall capture efficiency. With the application of electronic and sensor technology, some equipment has integrated simple automatic control logic, such as judging cooking activities through infrared detection or smoke sensing devices, and then realizing the switching of fan speed. At the purification technology level, the mainstream solution has evolved from a single filter physical interception to a composite purification with high-voltage electrostatic adsorption technology as the core. The high-voltage electrostatic field removes fine particles in the fume through ionization and adsorption, which is the key to improving the quality of exhaust air.

[0003] However, existing kitchen fume purification and extraction methods still have many limitations. First, in terms of extraction accuracy, a wide-area, uniform suction mode is generally adopted, which cannot identify the specific location and intensity of fume generation, resulting in serious energy waste and high noise during local cooking. Second, in terms of purification efficiency, the working voltage of the electrostatic purification unit is mostly a fixed value or a limited gear. Faced with fume loads from low-temperature steaming to high-temperature stir-frying, it is difficult to maintain a stable high purification rate, and pollutant penetration or energy redundancy is prone to occur. In addition, in terms of control response, existing technologies are mostly based on hysteresis feedback control of a single sensor. When encountering a large amount of instantaneous fume generation, the system response is delayed, resulting in the escape of some insufficiently purified gas, which cannot meet stringent environmental protection requirements. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: to propose a kitchen environmentally friendly oil fume purification and extraction method and system, by analyzing the two-dimensional temperature field data of the stove plane to identify the real-time position and heat load intensity of the oil fume source, to achieve precise control of the focus positioning and air volume of the suction airflow, and combined with closed-loop feedback of purification efficiency and feedforward compensation of heat load to optimize the working intensity of the purification unit.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a kitchen environmentally friendly fume purification and exhaust method, which includes: Acquire the two-dimensional temperature matrix data of the stove plane, and calculate the suction focus coordinates and the total heat flux value based on the two-dimensional temperature matrix data; obtain the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculate the current purification rate according to the inlet concentration and the outlet concentration; determine the target opening of each air valve in the air valve array according to the suction focus coordinates, and determine the target exhaust air volume according to the total heat flux value; determine the purification rate deviation based on the current purification rate, and calculate the basic voltage adjustment amount through the control algorithm, and compensate and correct the basic voltage adjustment amount in combination with the total heat flux value to obtain the final voltage adjustment amount.

[0007] As a preferred solution of the kitchen environmentally friendly oil fume purification and exhaust method described in the present invention, wherein: the suction focus coordinates and the total heat flux value are calculated based on the two-dimensional temperature matrix data, including: filtering the two-dimensional temperature matrix data to obtain processed temperature distribution data; calculating the temperature weight coefficient of each sampling point based on the processed temperature distribution data; determining the suction focus coordinates using the centroid algorithm according to the temperature weight coefficient; integrating the data points in the two-dimensional temperature matrix that exceed the preset ambient temperature reference value to obtain the total heat flux value.

[0008] As a preferred solution of the environmentally friendly kitchen fume purification and exhaust method described in the present invention, wherein: the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel are obtained, and the current purification rate is calculated based on the inlet concentration and the outlet concentration, including: real-time detection of the concentration of pollutants entering the purification channel by a first sensor arranged at the inlet of the purification channel to obtain the inlet concentration; real-time detection of the concentration of pollutants after purification treatment by a second sensor arranged at the outlet of the purification channel to obtain the outlet concentration; and calculation based on the inlet concentration and the outlet concentration to obtain the current purification rate.

[0009] As a preferred solution of the kitchen environmentally friendly oil fume purification and exhaust method described in the present invention, wherein: the target opening of each air valve in the air valve array is determined according to the suction focus coordinates, including: establishing a coordinate mapping relationship of the air valve array, determining the spatial position relationship of each air valve relative to the suction focus coordinates; calculating the distance parameters between the position of each air valve and the suction focus coordinates; based on the distance parameters, using a distance weighted algorithm to calculate the opening distribution coefficient of each air valve; and determining the target opening of each air valve according to the opening distribution coefficient.

[0010] As a preferred solution of the kitchen environmentally friendly oil fume purification and exhaust method described in the present invention, wherein: the target exhaust air volume is determined according to the total heat flux value, including: determining the corresponding basic exhaust air volume parameter according to the total heat flux value; calculating the target exhaust air volume based on the basic exhaust air volume parameter and the total heat flux value using an interpolation algorithm; and performing boundary restriction processing on the target exhaust air volume.

[0011] As a preferred solution of the kitchen environmentally friendly oil fume purification and exhaust method described in the present invention, wherein: the purification rate deviation is determined based on the current purification rate, and the basic voltage adjustment amount is calculated through a control algorithm, including: comparing the current purification rate with the preset target purification rate to obtain the purification rate deviation; establishing an error control signal based on the purification rate deviation; and using a proportional integral differential control algorithm to perform calculations on the error control signal to obtain the basic voltage adjustment amount.

[0012] As a preferred solution of the kitchen environmentally friendly oil fume purification and exhaust method described in the present invention, wherein: the basic voltage adjustment amount is compensated and corrected in combination with the total heat flux value to obtain the final voltage adjustment amount, including: establishing a heat load compensation model according to the total heat flux value to generate a corresponding compensation coefficient; performing a compensation operation on the compensation coefficient and the basic voltage adjustment amount to obtain a heat load correction amount; and performing calculations in combination with the basic voltage adjustment amount and the heat load correction amount to obtain the final voltage adjustment amount.

[0013] The invention provides an environmentally friendly kitchen fume purification and exhaust system.

[0014] In order to solve the above technical problems, the present invention provides the following technical solutions: a kitchen environmentally friendly oil fume purification and exhaust system, comprising: a temperature calculation module, used to obtain two-dimensional temperature matrix data of the stove plane, and calculate the suction focus coordinates and total heat flux values ​​based on the two-dimensional temperature matrix data; a purification calculation module, used to obtain the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculate the current purification rate according to the inlet concentration and outlet concentration; an exhaust processing module, used to determine the target opening of each air valve in the air valve array according to the suction focus coordinates, and determine the target exhaust air volume according to the total heat flux value; a purification adjustment module, used to determine the purification rate deviation based on the current purification rate, and calculate the basic voltage adjustment amount through a control algorithm, and compensate and correct the basic voltage adjustment amount in combination with the total heat flux value to obtain the final voltage adjustment amount.

[0015] The present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the method for purifying and extracting environmentally friendly kitchen fume are implemented.

[0016] The present invention provides 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 method for purifying and extracting environmentally friendly kitchen fume are implemented.

[0017] The beneficial effects of the present invention are as follows: the present invention obtains the two-dimensional temperature matrix of the stove and calculates the suction focus coordinates and the total heat flux, and then regulates the air valve array and the exhaust air volume to realize on-demand allocation of suction resources, thereby reducing operating noise and energy consumption, and improving the oil fume capture efficiency by forming a local high negative pressure area at the source of the oil fume; by calculating the current purification rate of the purification channel in real time and comparing it with the target purification rate, the working voltage of the purification unit is adjusted, which can optimize energy use and extend the life of core components under the premise of ensuring stable purification efficiency; by introducing the total heat flux as a feedforward control signal, the purification voltage is compensated and corrected, and thus it can respond to changes in the oil fume load in advance, overcome the delay of pure feedback control, and thus improve the purification performance under actual cooking conditions. 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 The present invention provides a flow chart of an environmentally friendly kitchen fume purification and extraction method.

[0019] Figure 2 This is a flow chart of an environmentally friendly kitchen fume purification and exhaust system related to the present invention. 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 , which is the first embodiment of the present invention, provides an environmentally friendly kitchen fume purification and extraction method, comprising: S1: Obtain the two-dimensional temperature matrix data of the stove plane, and calculate the suction focus coordinates and total heat flux value based on the two-dimensional temperature matrix data.

[0024] In this embodiment of the present invention, step S1 is the foundational step of the entire environmentally friendly kitchen fume purification and extraction method. By monitoring the temperature distribution on the stove surface in real time, the location and intensity of heat sources are identified, providing data support for subsequent precise control. The two-dimensional temperature matrix data accurately reflects the heat distribution in different areas of the stove surface and is a key information source for intelligent fume purification.

[0025] S1.1: Obtain the two-dimensional temperature matrix data of the stove plane.

[0026] In an embodiment of the present invention, obtaining the two-dimensional temperature matrix data of the stove plane refers to obtaining the two-dimensional temperature matrix data through an infrared temperature sensor array, wherein the infrared temperature sensor array is installed above the stove, and the sensors are arranged in a grid shape to form an m×n sampling matrix. Each sensor is responsible for detecting the temperature value of the corresponding area. By synchronously collecting the temperature data of each sensor, a two-dimensional temperature matrix T is formed, where Indicates the temperature value at the i-th row and j-th column position.

[0027] It should be noted that the specifications of the infrared temperature sensor array can be determined comprehensively based on the size of the stove and the required accuracy. Considering the balance between cost and accuracy for a standard household stove, the values ​​of m and n in the present invention are both 8-16; the sampling frequency is determined according to the temperature change characteristics of the cooking process. Taking into account the temperature change cycle in the general cooking process, it is set to 1-10Hz in the present invention.

[0028] In an optional embodiment, the two-dimensional temperature matrix data can also be obtained through thermal imaging technology, wherein a thermal imaging camera is set above the stove, and a real-time thermal imaging scan of the stove plane is performed, and then the thermal imaging image is subjected to pixel-level temperature analysis, and the image is divided into grid areas to construct a two-dimensional temperature matrix.

[0029] It should be noted that by establishing a two-dimensional temperature monitoring method for the stove plane, the problem in the existing technology that the range hood can only suck air at a fixed position and cannot be adjusted according to the actual heat source distribution is solved. By acquiring two-dimensional temperature matrix data in real time, the temperature changes in each area of ​​the stove plane can be accurately captured, providing accurate spatial temperature information for subsequent intelligent control.

[0030] S1.2: Filter the two-dimensional temperature matrix data to obtain processed temperature distribution data.

[0031] In the embodiment of the present invention, in order to eliminate noise interference and random fluctuations in the temperature acquisition process and improve the reliability and stability of temperature data, a mean filter algorithm is used to filter the two-dimensional temperature matrix to obtain more accurate temperature distribution data. × The filter window performs convolution operation on the temperature matrix. The specific formula of the processed temperature distribution data is as follows: ; in, Indicates the position after filtering The temperature value at Represents the position in the original temperature matrix The temperature value at The size of the filter window needs to strike a balance between noise suppression and detail preservation. The optimal value is determined through experimental verification based on the sensor array density and the actual noise level. In this invention, the value is 3 or 5; Indicates the radius of the filter window; Indicates the row offset within the filter window; Indicates the column offset within the filter window.

[0032] It should be noted that by introducing the filtering processing link, random noise and instantaneous fluctuations in temperature data can be effectively suppressed, the reliability and stability of the data can be improved, and the problem that temperature sensors are susceptible to electromagnetic interference and thermal noise in high temperature environments can be solved.

[0033] S1.3: Calculate the temperature weight coefficient of each sampling point based on the processed temperature distribution data.

[0034] In an embodiment of the present invention, the temperature weight coefficient is used to quantify the contribution of each sampling point to the overall heat distribution, providing a weight basis for the subsequent suction focus calculation. The higher the temperature area, the larger the weight coefficient, and the more important it is in the suction focus calculation.

[0035] Specifically, in order to quantify the contribution of each sampling point to the overall heat distribution and reasonably reflect the importance of different temperature areas in heat source positioning, the temperature weight coefficient of each sampling point is calculated based on the normalization of the temperature difference by comparing the difference between the temperature of each sampling point and the ambient reference temperature. The specific formula is as follows: ; in, Indicates location Temperature weight coefficient at ; Indicates the position after filtering The temperature value at Indicates the ambient reference temperature; Indicates the highest temperature value in the current temperature matrix.

[0036] It should be noted that the ambient reference temperature When the system is initialized, the temperature of the stove surface is collected at multiple points in the non-cooking state, and the statistical average temperature of all sampling points is determined. An appropriate safety margin is added considering the sensor accuracy and environmental stability. In this invention, it is usually the indoor ambient temperature plus 2-5°C.

[0037] It should be noted that by introducing the concept of weight coefficient, the importance of each sampling point can be scientifically quantified, so that the high-temperature area can obtain a greater influence weight in subsequent calculations, and the importance of different temperature areas can be effectively distinguished.

[0038] S1.4: Determine the suction focus coordinates using the centroid algorithm based on the temperature weight coefficient.

[0039] It should be noted that the centroid algorithm calculates the geometric center position of the heat load based on the temperature weight distribution, where the geometric center position of the heat load represents the center of gravity of the current heat source distribution and is the optimal focal position for precise air suction.

[0040] In the embodiment of the present invention, in order to determine the optimal suction position and accurately locate the center of gravity of the heat source distribution, the two-dimensional temperature distribution is converted into a single focal coordinate through a centroid calculation method based on the temperature weight distribution. The geometric center position of the heat load is calculated as the suction focus coordinate. The specific formula is as follows: ; ; in, The abscissa represents the focus of suction; The vertical coordinate represents the focus of suction; Indicates location The horizontal coordinate in the coordinate system of the stove plane; Indicates location The vertical coordinate in the coordinate system of the stove plane; Indicates location Temperature weight coefficient at ; Represents the row index variable in the summation process; Represents the column index variable in the summation process; Indicates the total number of rows in the temperature matrix; Indicates the total number of columns in the temperature matrix.

[0041] It should be noted that the centroid algorithm converts the two-dimensional temperature distribution into a single coordinate point through weighted averaging. When the heat source is concentrated in a certain area, the high weight value of the area will cause the centroid coordinate to shift toward the corresponding area; when there are multiple heat sources, the centroid coordinate will automatically be positioned at the equilibrium position of each heat source, so that the suction focus can track the changes in the heat source distribution and achieve the optimal suction effect.

[0042] S1.5: Integrate the data points in the two-dimensional temperature matrix that exceed the preset ambient temperature reference value to obtain a total heat flux value.

[0043] It should be noted that the total heat flux value reflects the overall heat load intensity of the current stove and is an important parameter for determining the exhaust air volume. By integrating the effective heat source area, the current heat generation situation can be accurately quantified.

[0044] In this embodiment of the present invention, in order to accurately quantify the overall heat load intensity of the current stove and provide a basis for air volume matching, a discrete integral calculation is performed on the effective heat source areas exceeding the ambient temperature reference value, and the heat contribution of each area is accumulated to obtain the total heat flux value. The specific formula is as follows: ; in: Indicates the total heat flux value; Indicates the position after filtering The temperature value at Indicates the ambient temperature reference value; Indicates the area unit corresponding to a single sampling point; Indicates the row index that meets the temperature condition during the summation process; Indicates the column index that meets the temperature condition during the summation process.

[0045] Furthermore, the ambient temperature reference value By the ambient reference temperature Increase the temperature threshold increment based on OK, that is The purpose of setting this increment is to ensure that only the real heat source area above the ambient temperature participates in the total heat flux calculation to avoid the interference of ambient temperature fluctuations. According to the characteristics of the kitchen environment and the cooking temperature range, the temperature threshold increment in this invention is The value is 5-10℃; area unit Indicates the area corresponding to each temperature sampling point on the stove plane, based on the total area of ​​the stove Divide by the total number of sensor arrays OK, that is .

[0046] In an optional embodiment, the ambient temperature reference value It can also be adjusted periodically according to the real-time ambient temperature. The adjustment period is determined according to the characteristics of ambient temperature changes to ensure that it can adapt to ambient temperature changes in different time periods and seasons.

[0047] Furthermore, the total heat flux is calculated using a discrete integral method, which only considers the temperature exceeding the ambient reference value. The area of ​​the high-temperature zone can effectively eliminate the influence of the ambient background temperature and focus on the heat generated by the real heat source; when the cooking intensity increases, the area of ​​the high-temperature zone expands and the temperature rises, and the total heat flux value increases accordingly, thereby providing accurate load information.

[0048] It should be noted that the present invention realizes all-round perception and precise analysis of cooking heat sources through a technical chain of temperature matrix acquisition, data filtering, weight calculation, focus positioning and heat flux quantification. It not only solves the problem of heat source position tracking, but also realizes accurate quantification of heat load intensity, providing a reliable data basis for subsequent air valve control, air volume regulation and voltage optimization.

[0049] S2: Obtain the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculate the current purification rate based on the inlet concentration and outlet concentration.

[0050] In an embodiment of the present invention, step S2 accurately evaluates the actual working effect of the purification equipment by real-time monitoring and comparative analysis of the pollutant concentrations at the inlet and outlet of the purification channel, providing feedback basis for subsequent purification control optimization. The accurate calculation of the purification rate is the key link in achieving closed-loop control, which can ensure that the purification system always works in the best state.

[0051] S2.1: The concentration of pollutants entering the purification channel is detected in real time by a first sensor provided at the inlet of the purification channel to obtain an inlet concentration.

[0052] In an embodiment of the present invention, in order to accurately measure the concentration level of pollutants entering the purification equipment and establish baseline data for purification effect evaluation, a pollutant detection sensor is deployed at the inlet of the purification channel to monitor the pollutant concentration in the oil fume in real time and obtain the inlet concentration of the pollutants.

[0053] Specifically, the concentration of pollutants entering the purification channel is detected in real time by a first sensor set at the inlet of the purification channel to obtain the inlet concentration, including: setting a particle concentration sensor at the inlet of the purification channel, adopting the laser scattering principle, and detecting the particle concentration by the change in the intensity of scattered light generated by the laser beam irradiating the oil smoke particles. When the laser beam passes through the airflow containing particulate matter, the particulate matter will scatter the laser, and the intensity of the scattered light is related to the concentration and particle size distribution of the particulate matter. The particle concentration is calculated by measuring the scattered light intensity and combining it with calibration parameters.

[0054] In an optional embodiment, a gas concentration sensor can also be used to obtain the inlet concentration of pollutants at the inlet of the purification channel. By utilizing the infrared absorption principle or the electrochemical principle, the concentration of organic volatiles and harmful gases in the oil fume is detected, and combined with the particulate matter concentration, a comprehensive pollutant concentration index is obtained through weighted calculation, which can more comprehensively reflect the degree of oil fume pollution.

[0055] In an optional embodiment, the inlet concentration of pollutants at the inlet of the purification channel can also be obtained by using an optical turbidity method to detect the pollutant concentration. By measuring the absorption and scattering degree of oil smoke to light of a specific wavelength, the comprehensive concentration index of the pollutants is calculated. The optical turbidity sensor has the characteristics of fast response speed and good stability.

[0056] S2.2: The second sensor provided at the outlet of the purification channel detects the concentration of the pollutants after purification in real time to obtain the outlet concentration.

[0057] In an embodiment of the present invention, in order to accurately measure the residual concentration of pollutants after purification treatment and evaluate the actual treatment effect of the purification equipment, a pollutant detection sensor is deployed at the outlet of the purification channel to monitor the pollutant concentration in the purified air in real time to obtain the outlet concentration of the pollutants.

[0058] Specifically, a second sensor is provided at the outlet of the purification channel to detect the concentration of pollutants after purification in real time to obtain the outlet concentration, wherein the structure and detection principle of the second sensor are the same as those of the first sensor, and a particle concentration sensor of the same specification is used to ensure the consistency and comparability of the inlet and outlet concentration measurements. The calibration period of the sensor is determined according to the detection accuracy maintenance requirements. In the present invention, it is set to perform standard gas calibration once a month.

[0059] S2.3: Calculate based on the inlet concentration and outlet concentration to obtain the current purification rate.

[0060] It should be noted that the purification rate, as the core indicator to measure the working effect of purification equipment, can intuitively reflect the ability of purification equipment to remove pollutants. It is a key feedback signal for achieving closed-loop control and performance optimization of the purification system.

[0061] In an embodiment of the present invention, in order to accurately quantify the actual treatment effect of the purification equipment, a quantitative evaluation index of purification performance is provided. By comparing the difference in pollutant concentration at the inlet and outlet of the purification channel, the current purification rate of the purification equipment is calculated. The specific formula is as follows: ; in, Indicates the current purification rate; Indicates the concentration of particulate matter at the inlet of the purification channel; Indicates the particle concentration at the outlet of the purification channel.

[0062] In an optional embodiment, the calculation of the current purification rate based on the inlet concentration and the outlet concentration can also take into account the time smoothing of the data. By using the average concentration within the time window for calculation, it is possible to suppress short-term fluctuations while maintaining sensitivity to changes in purification performance.

[0063] In another optional embodiment, the current purification rate can be calculated based on the inlet concentration and the outlet concentration by setting a detection threshold. When the inlet concentration is less than the detection threshold, the purification rate calculation is suspended to avoid calculation errors caused by the denominator being too small. When the inlet concentration is greater than or equal to the detection threshold, the purification rate calculation is started.

[0064] It should be noted that the present invention realizes accurate quantification and real-time monitoring of the purification effect by utilizing inlet particulate matter concentration detection, outlet particulate matter concentration detection and purification rate calculation. It not only solves the problem of quantitative evaluation of the purification effect, but also provides an accurate feedback signal for subsequent voltage control, ensuring that it can be optimized according to the actual effect, thereby improving the stability and reliability of oil fume purification.

[0065] S3: Determine the target opening of each air valve in the air valve array according to the suction focus coordinates, and determine the target exhaust air volume according to the total heat flux value.

[0066] In an embodiment of the present invention, step S3 realizes directional and efficient absorption of oil smoke through precise air valve control based on suction focus coordinates and air volume matching based on heat load, among which the intelligent control of the air valve array and the adjustment of the exhaust air volume are the core technical links for achieving precise purification.

[0067] S3.1: Establish a coordinate mapping relationship of the air valve array and determine the spatial position relationship of each air valve relative to the suction focus coordinate.

[0068] In an embodiment of the present invention, in order to achieve precise directional control of the suction focus by the air valve array and establish an accurate spatial position mapping relationship, an air valve array coordinate system is established inside the range hood to determine the spatial position of each air valve and calculate the position relationship of each air valve relative to the suction focus.

[0069] Specifically, establishing the coordinate mapping relationship of the air valve array means arranging multiple air valves with adjustable openings in a matrix manner in the air intake area of ​​the range hood to form an air valve array, wherein the air valve array includes P×Q air valve units, each of which has independent opening control capabilities. The position coordinates of each air valve in the array are expressed as ,in represents the horizontal position coordinate of the pth air valve, Represents the vertical position coordinate of the qth air valve.

[0070] It should be noted that the specifications of the air valve array are determined according to the suction area and control accuracy requirements of the range hood. In the present invention, the values ​​of P and Q are both 3-8; the installation spacing of the air valves is determined according to the airflow control effect. In the present invention, the center distance between adjacent air valves is 50-150mm; the coordinate system is established with the geometric center of the air valve array as the origin, the horizontal right is the positive direction of the H axis, and the vertical upward is the positive direction of the V axis.

[0071] In an optional embodiment, the air valve array may also adopt a non-matrix arrangement, such as a ring arrangement or a fan arrangement, so as to adapt to the design of air intakes of different shapes.

[0072] It should be noted that by establishing a coordinate mapping relationship for the air valve array, the problem of the lack of precise correspondence between the air valve position and the control target in the existing technology is solved. By determining the exact spatial position of each air valve, a geometric basis is provided for subsequent precise control.

[0073] S3.2: Calculate the distance parameters between each air valve position and the suction focus coordinates.

[0074] It should be noted that the distance parameter between the air valve and the suction focus reflects the degree of influence of each air valve on the target position. The closer the distance is, the stronger the control effect of the air valve on the suction focus is, and a larger opening distribution should be obtained.

[0075] In the embodiment of the present invention, in order to quantify the control effect of each air valve on the suction focus and determine the basis for air valve opening distribution, the distance parameter of each air valve is obtained by calculating the spatial distance between the position coordinates of each air valve in the air valve array and the suction focus coordinates. The specific formula is as follows: ; in, Indicates the The distance parameter between the position damper and the suction focus; Indicates the horizontal position coordinate of the pth air valve; Indicates the vertical position coordinate of the qth air valve; The abscissa represents the focus of suction; The vertical coordinate represents the focus of suction.

[0076] It should be noted that by accurately calculating the distance parameters between the air valve and the suction focus, a quantitative relationship between the air valve position and the control target is established, providing a geometric basis for the scientific allocation of the air valve opening.

[0077] S3.3: Based on the distance parameter, the distance weighted algorithm is used to calculate the opening distribution coefficient of each air valve.

[0078] In the embodiment of the present invention, in order to reasonably distribute the control effect of each air valve, so that the air valve closer to the suction focus obtains a larger opening distribution weight, and thus achieves precise control of the suction focus, a distance weighted algorithm is adopted to calculate the opening distribution coefficient of each air valve based on the distance parameter between the air valve and the suction focus. The specific formula is as follows: ; in, Indicates the Position damper opening distribution coefficient; Indicates the The distance parameter between the position damper and the suction focus; represents the distance decay exponent; Represents a small constant that prevents the denominator from being zero.

[0079] Furthermore, the distance decay exponential Determined according to the concentration requirements of airflow control. When a more concentrated suction effect is required, the distance attenuation index can be increased. , the distance attenuation index in the embodiment of the present invention The value is 1.5-3.0; secondly, the small constant The purpose of the setting is to avoid numerical calculation anomalies when the air valve is exactly at the suction focus position. In the embodiment of the present invention, the small constant The value is 0.01.

[0080] It should be noted that the connection between the air valve opening and the position is established through the distance weighted algorithm, so that the air valve close to the suction focus automatically obtains a greater control weight, realizing precise directional control of the airflow.

[0081] S3.4: Determine the target opening of each air valve based on the opening distribution coefficient.

[0082] In the embodiment of the present invention, in order to determine the specific control parameters of each air valve and achieve coordinated operation of the air valve array, the target opening of each air valve is determined by normalizing the opening distribution coefficient and combining it with the overall opening control strategy. The specific formula is as follows: ; in, Indicates the Target opening of the position damper; Indicates the maximum opening of the air valve; Indicates the Position damper opening distribution coefficient; Indicates the overall opening adjustment factor; Indicates the number of rows of the air valve array; Indicates the number of columns in the air valve array.

[0083] Furthermore, the overall opening adjustment factor It can be determined based on the current suction demand and system load, with a value of 0.3-1.0. When the suction effect needs to be enhanced, the overall opening adjustment factor can be increased. ; Maximum opening of the air valve According to the physical structure of the air valve, the opening degree is usually 100% in the present invention.

[0084] In an optional embodiment, a hierarchical control strategy can be used to determine the target opening of each air valve based on the opening distribution coefficient, and the opening distribution coefficient is divided into multiple levels according to the threshold value, corresponding to different opening gears, and then the opening of the air valve is directly adjusted according to the different opening gears.

[0085] It should be noted that the rationality of the air valve opening distribution is ensured by using normalization processing, and the uneven air flow caused by local excessive opening is avoided. At the same time, the overall suction intensity is controlled by the overall opening adjustment factor.

[0086] S3.5: Determine the corresponding basic exhaust air volume parameters based on the total heat flux value.

[0087] It should be noted that the basic exhaust air volume parameter is the air volume reference value determined according to the heat load intensity, reflecting the basic exhaust capacity required under the current cooking state.

[0088] In the embodiment of the present invention, in order to determine the appropriate exhaust air volume according to the actual heat load and achieve matching of the air volume with the heat source intensity, a corresponding relationship between the total heat flux and the basic exhaust air volume is established, and the basic exhaust air volume parameter is determined based on the total heat flux value. The specific formula is as follows: ; in, Indicates basic exhaust air volume parameters; It represents the conversion coefficient of heat flux and air volume, which is determined according to the rules of oil smoke generation and purification effect requirements, and reflects the proportional relationship between heat load and required air volume. The value is 0.5-2.0m 3 / (h·W); Indicates the total heat flux value; Indicates the minimum maintenance air volume, which is used to ensure that the system maintains basic ventilation capacity under low heat load conditions. The value is 100-300m 3 / h.

[0089] In an optional embodiment, the determination of the basic exhaust air volume parameter may also take into account the influence of environmental factors, such as indoor air quality and ventilation conditions, and adjust the air volume through an environmental correction factor.

[0090] It should be noted that by establishing a linear relationship between heat flux and air volume, automatic adjustment of the exhaust air volume according to the heat load is achieved, avoiding energy waste or insufficient purification caused by fixed air volume settings.

[0091] S3.6: Based on the basic exhaust air volume parameters and the total heat flux value, use the interpolation algorithm to calculate the target exhaust air volume.

[0092] Specifically, in order to achieve fine adjustment of the exhaust air volume, the characteristics of heat load changes are taken into consideration, and the target exhaust air volume is calculated by using an interpolation algorithm based on the basic exhaust air volume and combining the changing trend of the total heat flux.

[0093] Furthermore, the specific formula for calculating the target exhaust air volume using the interpolation algorithm is as follows: ; in, Indicates the target exhaust air volume; Indicates basic exhaust air volume parameters; It represents the adjustment coefficient, which reflects the response degree of air volume to the change of heat flux. It is determined according to the response characteristics of the control system and has a value of 0.1-0.5; Indicates the current total heat flux value; Indicates the reference heat flux value, which is used as the benchmark for adjustment and is usually set to the average heat flux value in the recent period; It represents the response sensitivity factor, which is used to adjust the system's sensitivity to changes in heat flux and has a value of 0.5-1.5.

[0094] In an optional embodiment, a predictive control algorithm may be used to calculate the target exhaust air volume, and the future air volume demand may be predicted based on the changing trend of the heat flux.

[0095] S3.7: Perform boundary restriction on the target exhaust air volume.

[0096] It should be noted that the purpose of boundary limitation processing is to ensure that the target exhaust air volume is within the safe operating range of the equipment and to prevent system abnormalities caused by calculation results exceeding the equipment capacity.

[0097] Specifically, in order to ensure that the exhaust air volume is within the allowable range of the equipment and to ensure the safe and stable operation of the system, the calculated target exhaust air volume is constrained by upper and lower limits to obtain the final target exhaust air volume.

[0098] Exemplarily, the boundary restriction processing logic may include: If the target exhaust air volume Less than the minimum air volume limit of the equipment , then the final target exhaust air volume The value is the minimum air volume limit of the equipment .

[0099] If the target exhaust air volume Greater than or equal to the minimum air volume limit of the equipment And less than or equal to the maximum air volume limit of the equipment , then the final target exhaust air volume The value is the target exhaust air volume .

[0100] If the target exhaust air volume Greater than the maximum air volume limit of the equipment , then the final target exhaust air volume The value is the maximum air volume limit of the equipment .

[0101] It should be noted that the minimum air volume limit of the equipment The minimum air volume limit of the equipment in the embodiment of the present invention is determined according to the minimum operating requirements of the equipment and the indoor ventilation requirements. The value is 10%-30% of the rated air volume of the equipment; the maximum air volume limit of the equipment The maximum air volume limit of the equipment in the embodiment of the present invention is determined according to the power limit and noise control requirements of the equipment. The value is 80%-120% of the equipment's rated air volume.

[0102] In an optional embodiment, the boundary limit processing can also consider the boundary adjustment strategy, adjust the air volume limit range according to the real-time operating status of the equipment and the system load, lower the maximum air volume limit to protect the equipment when the equipment is in a high-load operating state, and increase the air volume upper limit to obtain better purification effect when the equipment is in good condition.

[0103] In another optional embodiment, the boundary limit processing can also introduce a gradual control mechanism. When the target exhaust air volume approaches the boundary limit, a smooth transition is achieved by setting a buffer zone to avoid shocks caused by sudden changes in air volume.

[0104] It should be noted that the present invention, by combining the establishment of air valve array coordinates, distance calculation, opening distribution, air volume determination and boundary limitation, can automatically adjust the key suction areas according to the position of the heat source, thereby avoiding ineffective suction away from the heat source area. Compared with the existing technology that generally adopts uniform suction or fixed-gear air volume control, it cannot adapt to the problem of different cooking intensities and changes in heat source distribution. The present invention maximizes energy efficiency while ensuring the purification effect through precise directional control and load matching adjustment, thereby achieving the dual goals of intelligence and energy saving.

[0105] S4: Determine the purification rate deviation based on the current purification rate, calculate the basic voltage adjustment amount through the control algorithm, and compensate and correct the basic voltage adjustment amount in combination with the total heat flux value to obtain the final voltage adjustment amount.

[0106] In the embodiment of the present invention, step S4 realizes intelligent adjustment of the working voltage of the purification equipment through closed-loop control and heat load compensation mechanism based on purification rate feedback, ensuring that the purification system can maintain the best purification effect under different working conditions.

[0107] S4.1: Compare the current purification rate with the preset target purification rate to obtain a purification rate deviation.

[0108] In the embodiment of the present invention, in order to quantify the gap between the actual performance of the purification equipment and the target performance and provide a basis for adjusting the control system, the purification rate deviation is obtained by comparing the current purification rate measured in real time with the preset target purification rate. The specific formula is as follows: ; in, Indicates the deviation of purification rate; Indicates the preset target purification rate, which is determined according to environmental protection requirements and the design performance of the purification equipment, and is set at 85%-95%; Indicates the current purification rate.

[0109] Furthermore, when the purification rate deviation When it is a positive value, it means that the current purification effect is lower than the target requirement and the working intensity of the purification equipment needs to be increased; when When it is a negative value, it means that the current purification effect exceeds the target requirement, and the working intensity of the equipment can be reduced to save energy; when When it is zero, it means that the purification effect reaches the ideal state.

[0110] In an optional embodiment, the calculation of the purification rate deviation can also introduce a deviation dead zone mechanism. When the absolute value of the purification rate deviation is less than a preset threshold, it is judged that a stable state has been reached to avoid frequent adjustments due to small deviations. The preset threshold is determined based on the stability requirements and control accuracy requirements of the purification equipment, which can both ensure control accuracy and avoid oscillations.

[0111] It should be noted that through the precise calculation of the purification rate deviation, a quantitative feedback relationship between the purification effect and the control input is established, providing an accurate control basis for subsequent intelligent adjustment.

[0112] S4.2: Establish an error control signal based on the purification rate deviation.

[0113] It should be noted that the error control signal refers to the conversion of the purification rate deviation into a standard signal form that can be processed by the control system. The error control signal provides a standardized input for subsequent control algorithm operations.

[0114] In the embodiment of the present invention, in order to convert the purification rate deviation into a standard input signal for the control algorithm, the purification rate deviation is subjected to signal conditioning and standardization to establish an error control signal. The specific formula is as follows: ; in, represents the error control signal; Indicates the signal amplification factor, which is used to convert the percentage-based purification rate deviation into the voltage or digital signal amplitude required by the control algorithm. The value range is 1-10; Indicates the deviation of purification rate; Indicates the signal offset, which is used to set the zero reference of the error control signal. It is usually set to the midpoint value of the control algorithm input range, and the value is 40%-60% of the control signal range.

[0115] In an optional embodiment, the error control signal can also be established by using a nonlinear conversion method. By setting different amplification coefficients to process purification rate deviations of different amplitudes in segments, a larger amplification coefficient is used for larger deviations to obtain a faster response, and a smaller amplification coefficient is used for smaller deviations to improve control accuracy, thereby being able to take into account both response speed and control stability.

[0116] It should be noted that by establishing a standardized error control signal, an effective interface between the purification rate deviation and the control algorithm is achieved, ensuring that changes in the purification effect can be accurately responded to.

[0117] S4.3: Use the proportional-integral-differential control algorithm to calculate and process the error control signal to obtain the basic voltage adjustment amount.

[0118] Specifically, in order to achieve precise control of the purification equipment, the current state, historical accumulation and change trend of the purification rate deviation are comprehensively considered, and the error control signal is comprehensively processed by using the PID control algorithm to obtain the basic voltage adjustment amount. The specific formula is as follows: ; in, Indicates the basic voltage adjustment amount; represents the proportional control coefficient; represents the integral control coefficient; represents the differential control coefficient; represents the error control signal; Indicates the error control signal in the time interval The integral within represents the time derivative of the error control signal; Indicates the current moment; represents the integration variable.

[0119] It should be noted that the proportional control coefficient Determines the intensity of the response to the current deviation, A larger value indicates a faster response but may cause overshoot. In the embodiment of the present invention, The value is 0.5-3.0; integral control coefficient To eliminate steady-state errors, Too large a value will cause oscillation, and the value is 0.1-1.0; differential control coefficient It is used to predict the trend of deviation change and make adjustments in advance to improve stability. The value is 0.01-0.5. In addition, the proportional term in the PID control algorithm Provides immediate response to current deviations, the integral term Eliminate long-standing steady-state deviations, differential terms Predicting deviation change trends and adjusting in advance, the three work together to achieve precise control of purification equipment.

[0120] In an optional embodiment, the PID control algorithm can also adopt a parameter adjustment strategy to adjust the PID parameters according to the real-time response characteristics and deviation changes. When the deviation is large, the proportional coefficient is increased to speed up the response speed. When it is close to a stable state, the integral coefficient is increased to eliminate the steady-state error. When an oscillation trend occurs, the differential coefficient is increased to improve the damping effect.

[0121] It should be noted that through the precise calculation of the PID control algorithm, the accurate conversion of the purification rate deviation to the voltage adjustment amount is achieved, which solves the problem of the lack of precise control mechanism of the purification equipment in the existing technology and improves the stability and response speed of the purification effect.

[0122] S4.4: Establish a heat load compensation model based on the total heat flux value and generate the corresponding compensation coefficient.

[0123] It should be noted that the heat load compensation model is used to correct the basic voltage adjustment so that the working parameters of the purification equipment can adapt to different heat load conditions, reflecting the relationship between heat load intensity and purification requirements.

[0124] Furthermore, in order to adapt the control strategy of the purification equipment to different cooking heat load conditions and establish a quantitative relationship between heat load and purification demand, a heat load compensation model is established based on the total heat flux value to generate the corresponding compensation coefficient. The specific formula is as follows: ; in, Indicates the heat load compensation coefficient; represents the heat load sensitivity coefficient; Indicates the current total heat flux value; Indicates the standard heat load reference value.

[0125] Furthermore, the heat load sensitivity coefficient It reflects the sensitivity of purification demand to changes in heat load. The larger the value, the more obvious the change of purification intensity with heat load, and the value is 0.2-0.8; the standard heat load reference value As the reference point for heat load compensation, it is usually set to the heat flux value under the rated working condition of the equipment. The standard heat load reference value in this invention is Determined based on heat flux statistics under typical cooking conditions.

[0126] S4.5: Perform compensation calculation on the compensation coefficient and the basic voltage adjustment amount to obtain the heat load correction amount.

[0127] Specifically, in order to incorporate the thermal load factor into the voltage control strategy and achieve matching of control parameters with actual operating conditions, the thermal load compensation coefficient is multiplied by the basic voltage adjustment to obtain a correction factor that takes the thermal load influence into account. The specific formula for the thermal load correction factor is as follows: ; in, Indicates the heat load correction amount; Indicates the basic voltage adjustment amount; Indicates the heat load compensation coefficient.

[0128] Furthermore, when the heat load compensation coefficient When it is greater than 1, it means that the current heat load is higher than the standard level, and the heat load correction value If it is a positive value, the working intensity of the purification equipment needs to be increased.

[0129] When the heat load compensation coefficient When it is less than 1, it means that the current heat load is lower than the standard level, and the heat load correction value If it is a negative value, the working intensity of the equipment can be appropriately reduced.

[0130] When the heat load compensation coefficient When it is equal to 1, the heat load correction A value of zero means that no thermal load compensation is required.

[0131] In an optional embodiment, the calculation of the thermal load correction amount can also introduce a correction amount limiting mechanism to impose upper and lower limits on the amplitude of the correction amount to prevent excessive correction due to drastic changes in the thermal load; the correction amount limiting mechanism is implemented by setting the maximum allowable value and the minimum allowable value of the correction amount to ensure that the corrected voltage adjustment amount remains within a reasonable range.

[0132] It should be noted that by calculating the heat load correction amount, an effective combination of the basic control amount and the actual working conditions is achieved, so that the purification equipment can be adjusted according to the changes in the heat load.

[0133] S4.6: Calculate the basic voltage adjustment and the heat load correction to obtain the final voltage adjustment.

[0134] In an embodiment of the present invention, the basic voltage adjustment amount and the thermal load correction amount are combined for calculation to obtain the final voltage adjustment amount. This means that in order to comprehensively consider the dual factors of purification rate feedback control and thermal load compensation, the optimal voltage control parameters are obtained, and the final voltage adjustment amount is obtained by adding the basic voltage adjustment amount and the thermal load correction amount.

[0135] Specifically, the final voltage adjustment formula is as follows: ; in, Indicates the final voltage adjustment amount; Indicates the basic voltage adjustment amount; Indicates the heat load correction amount.

[0136] Furthermore, the numerical range of the final voltage adjustment amount is determined according to the voltage regulation capability of the purification equipment. In order to ensure the safe operation of the equipment, the final voltage adjustment amount needs to be adjusted. Boundary restriction processing is performed when When the adjustment range allowed by the device is exceeded, it is limited to a safe range. In the embodiment of the present invention, the variation range of the final voltage adjustment amount is controlled within ±20% of the rated voltage.

[0137] It should be noted that by adding the basic adjustment amount output by the PID control algorithm and the correction amount generated by the heat load compensation, the basic adjustment amount ensures an accurate response to the purification rate deviation, and the heat load correction amount realizes the adjustment of different working conditions. The combination of the two enables the purification equipment to maintain the best purification effect under various cooking conditions.

[0138] In an optional embodiment, the output of the final voltage adjustment amount can also adopt a smooth output strategy, which slows down the rate of voltage change through filtering or gradual output to avoid sudden voltage changes from impacting the purification equipment. This is achieved by setting a voltage change rate limit and an output smoothing algorithm, which not only ensures the control effect but also protects the long-term stable operation of the equipment.

[0139] It should be noted that the present invention obtains a deviation signal by comparing the current purification rate with the target purification rate, and establishes a standardized error control signal; adopts a proportional integral differential control algorithm to comprehensively consider the current deviation, historical accumulation and change trend, and calculates the basic voltage adjustment amount; establishes a thermal load compensation model to generate a compensation coefficient, and incorporates the thermal load factor into the control strategy; finally, the basic adjustment amount and the thermal load correction amount are synthesized to obtain the optimal voltage control parameter, which not only ensures an accurate response to the purification effect, but also realizes the adjustment of different working conditions; compared with traditional purification equipment that usually adopts a fixed parameter working mode and lacks the ability to adjust parameters according to the actual purification effect, resulting in large differences in purification performance under different cooking conditions, the present invention combines feedback control and feedforward compensation to enable the purification equipment to automatically maintain the best working state under various working conditions, improves control accuracy and adaptability, and ensures a continuous and stable purification effect.

[0140] In summary, the present invention obtains the two-dimensional temperature matrix of the stove and calculates the suction focus coordinates and the total heat flux, and then regulates the air valve array and the exhaust air volume to realize on-demand allocation of suction resources, thereby reducing operating noise and energy consumption, and improving the fume capture efficiency by forming a local high negative pressure area at the source of the fume; by calculating the current purification rate of the purification channel in real time and comparing it with the target purification rate, the working voltage of the purification unit is adjusted, which can optimize energy use and extend the life of core components while ensuring stable purification efficiency; by introducing the total heat flux as a feedforward control signal, the purification voltage is compensated and corrected, and thus it can respond to changes in the fume load in advance, overcome the delay of pure feedback control, and thus improve the purification performance under actual cooking conditions.

[0141] Example 2, reference Figure 2, which is the second embodiment of the present invention, provides an environmentally friendly kitchen fume purification and exhaust system, including: a temperature calculation module, used to obtain two-dimensional temperature matrix data of the stove plane, and calculate the suction focus coordinates and total heat flux values ​​based on the two-dimensional temperature matrix data; a purification calculation module, used to obtain the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculate the current purification rate according to the inlet concentration and the outlet concentration; an exhaust processing module, used to determine the target opening of each air valve in the air valve array according to the suction focus coordinates, and determine the target exhaust air volume according to the total heat flux value; a purification adjustment module, used to determine the purification rate deviation based on the current purification rate, and calculate the basic voltage adjustment amount through a control algorithm, and compensate and correct the basic voltage adjustment amount in combination with the total heat flux value to obtain a final voltage adjustment amount.

[0142] Example 3 is an embodiment of the present invention. It differs from the previous two embodiments in that, if the functions described are implemented as software functional units and sold or used as independent products, they 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, stored in a storage medium, includes instructions for causing a computer device (such as a personal computer, server, or network device) to perform all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0143] 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.

[0144] 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.

[0145] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the aforementioned 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 or combination of the following technologies known in the art 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.

[0146] 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 method for purifying and extracting kitchen fume, characterized by: include, Acquiring two-dimensional temperature matrix data of the stove plane, and calculating the suction focus coordinates and the total heat flux value based on the two-dimensional temperature matrix data; Obtaining the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculating the current purification rate based on the inlet concentration and the outlet concentration; Determining the target opening of each air valve in the air valve array according to the suction focus coordinates, and determining the target exhaust air volume according to the total heat flux value; The purification rate deviation is determined based on the current purification rate, and a basic voltage adjustment amount is calculated through a control algorithm. The basic voltage adjustment amount is compensated and corrected in combination with the total heat flux value to obtain a final voltage adjustment amount.

2. The method for purifying and extracting kitchen fume according to claim 1, characterized in that: Calculating the suction focus coordinates and the total heat flux value based on the two-dimensional temperature matrix data includes: Performing filtering processing on the two-dimensional temperature matrix data to obtain processed temperature distribution data; Calculating the temperature weight coefficient of each sampling point based on the processed temperature distribution data; According to the temperature weight coefficient, the centroid algorithm is used to determine the suction focus coordinates; The data points in the two-dimensional temperature matrix that exceed the preset ambient temperature reference value are integrated to obtain a total heat flux value.

3. The method for purifying and extracting kitchen fume according to claim 2, characterized in that: The obtaining of the inlet concentration and the outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculating the current purification rate according to the inlet concentration and the outlet concentration, includes: The first sensor provided at the inlet of the purification channel detects the concentration of pollutants entering the purification channel in real time to obtain the inlet concentration; The second sensor provided at the outlet of the purification channel detects the concentration of the pollutants after purification in real time to obtain the outlet concentration; The current purification rate is obtained by performing calculation based on the inlet concentration and the outlet concentration.

4. The method for purifying and extracting kitchen fume according to claim 3, characterized in that: Determining the target opening of each air valve in the air valve array according to the suction focus coordinates includes: Establishing a coordinate mapping relationship of the air valve array and determining the spatial position relationship of each air valve relative to the suction focus coordinate; Calculating the distance parameters between the positions of each air valve and the suction focus coordinates; Based on the distance parameter, a distance weighted algorithm is used to calculate the opening distribution coefficient of each air valve; The target opening of each air valve is determined according to the opening distribution coefficient.

5. The method for purifying and extracting kitchen fume according to claim 4, characterized in that: Determining a target exhaust air volume according to the total heat flux value includes: Determine the corresponding basic exhaust air volume parameter according to the total heat flux value; Based on the basic exhaust air volume parameter and the total heat flux value, an interpolation algorithm is used to calculate the target exhaust air volume; Boundary restriction processing is performed on the target exhaust air volume.

6. The method for purifying and extracting kitchen fume according to claim 5, characterized in that: Determining a purification rate deviation based on the current purification rate and calculating a basic voltage adjustment amount through a control algorithm include: Comparing the current purification rate with a preset target purification rate to obtain a purification rate deviation; establishing an error control signal based on the purge rate deviation; The error control signal is processed by a proportional-integral-differential control algorithm to obtain a basic voltage adjustment amount.

7. The method for purifying and extracting kitchen fume according to claim 6, characterized in that: The basic voltage adjustment is compensated and corrected in combination with the total heat flux value to obtain a final voltage adjustment, including: Establishing a heat load compensation model according to the total heat flux value and generating a corresponding compensation coefficient; Performing a compensation operation on the compensation coefficient and the basic voltage adjustment amount to obtain a heat load correction amount; The basic voltage adjustment amount and the thermal load correction amount are combined to perform calculations to obtain a final voltage adjustment amount.

8. An environmentally friendly kitchen fume purification and exhaust system, using the environmentally friendly kitchen fume purification and exhaust method according to any one of claims 1 to 7, characterized in that: include, A temperature calculation module is used to obtain the two-dimensional temperature matrix data of the stove plane and calculate the suction focus coordinates and the total heat flux value based on the two-dimensional temperature matrix data; The purification calculation module is used to obtain the inlet concentration and outlet concentration of pollutants at the inlet and outlet of the purification channel, and calculate the current purification rate based on the inlet concentration and outlet concentration; The exhaust processing module is used to determine the target opening of each air valve in the air valve array according to the suction focus coordinates, and determine the target exhaust air volume according to the total heat flux value; The purification adjustment module is used to determine the purification rate deviation based on the current purification rate, calculate the basic voltage adjustment amount through the control algorithm, compensate and correct the basic voltage adjustment amount in combination with the total heat flux value, and obtain the final voltage adjustment amount.

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 method for purifying and extracting environmentally friendly kitchen fume are implemented as described in any one of claims 1 to 7.

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 method for purifying and extracting environmentally friendly kitchen fume are implemented as described in any one of claims 1 to 7.

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