Flue gas treatment control method and system for intelligent commercial UV smoke hood

Abstract

The invention discloses a flue gas treatment control method for an intelligent commercial UV smoke hood, and relates to the field of flue gas treatment control of UV smoke hoods, and the flue gas treatment control method comprises the following steps: emitting interference sound waves on the upper layer of a smoke hood filter screen to generate a standing wave field, and carrying out secondary filtration on grease particles in flue gas based on a standing wave effect; analyzing the physical characteristics and mechanical characteristics of the grease particles in the standing wave field, and calculating the expected penetration rate of the grease particles in the flue gas in the secondary filtering process; based on the expected penetration rate of grease particles in the secondary filtering process, the UV illumination intensity is dynamically adjusted in combination with the flue gas flow rate; the variety and content of by-product gas in the flue gas after UV illumination treatment are analyzed, and the adaptability of the UV illumination intensity after adjustment is evaluated; and setting a UV illumination intensity secondary adjustment scale based on the UV illumination intensity suitability, and circularly adjusting the UV illumination intensity until the UV illumination intensity suitability reaches a set standard.

Description

Technical Field

[0001] The present invention relates to the field of smoke treatment control of UV smoke hoods, and in particular to a smoke treatment control method and system for intelligent commercial UV smoke hoods. Background Art

[0002] In modern kitchen and industrial flue gas emission treatment, grease particles and other volatile organic compounds are the main sources of air pollution. With the improvement of environmental protection requirements, the catering industry and industrial fields have an increasing demand for the purification of exhaust air, especially the treatment of particulate matter and harmful gases in oil smoke. Although the current kitchen and industrial flue gas treatment systems use technologies such as mechanical filtration, electrostatic precipitator and UV photolysis, these single technologies are difficult to effectively treat grease particles and organic pollutants under high load or complex working conditions. Mechanical filters have poor filtering effects on small particles, electrostatic precipitators face difficulties in cleaning and maintenance, and UV photolysis does not precisely control the light intensity, and cannot achieve the best treatment effect.

[0003] How to realize a flue gas treatment control method for intelligent commercial UV smoke hoods, use the standing wave acoustic wave field as a secondary filtration technology, effectively capture tiny grease particles through acoustic wave interference and sound pressure gradient, and combine the dynamic UV light intensity adjustment mechanism to adjust the intensity of UV light in real time to meet the performance requirements and environmental protection requirements of UV smoke hoods, is an urgent problem to be solved. Summary of the invention

[0004] In order to solve the above technical problems, a fume treatment control method for an intelligent commercial UV fume hood is provided. This technical solution solves the problems raised in the above background technology.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A fume treatment control method for an intelligent commercial UV fume hood, comprising:

[0007] Interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the grease particles in the smoke are filtered twice based on the standing wave effect;

[0008] Analyze the physical and mechanical properties of grease particles in the standing wave field, and calculate the expected penetration rate of grease particles in the flue gas during the secondary filtration process;

[0009] Based on the expected penetration rate of grease particles during the secondary filtration process, the UV light intensity is dynamically adjusted in combination with the flue gas flow rate;

[0010] Analyze the types and contents of byproduct gases in the flue gas after UV light treatment, and evaluate the adaptability of the adjusted UV light intensity;

[0011] The UV light intensity secondary adjustment scale is set based on the UV light intensity adaptability, and the UV light intensity is cyclically adjusted until the UV light intensity adaptability reaches the set standard.

[0012] Preferably, the emitting interference sound waves on the upper layer of the smoke hood filter to generate a standing wave field, and performing secondary filtering of grease particles in the smoke based on the standing wave effect specifically includes:

[0013] Interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the frequency of the sound waves is adjusted until the number of wave nodes formed in the standing wave field reaches a set number;

[0014] Set the grease particle volume gradient and the corresponding gradient interval, and detect the number of grease particles in the smoke passing through the filter distributed in each gradient interval;

[0015] The grease particles in the smoke passing through the filter are captured by the standing wave field, and the grease particles gathered at the nodes of the standing wave field are filtered twice.

[0016] Preferably, the analyzing the physical and mechanical properties of the grease particles in the standing wave field and calculating the expected penetration rate of the grease particles in the smoke during the secondary filtration process specifically includes:

[0017] Based on the sound pressure gradient of the standing wave field and the volume of the grease particles, the expected sound pressure gradient force on the grease particles in different grease particle volume gradient intervals is analyzed. The calculation formula of the expected sound pressure gradient force is:

[0018]

[0019] Where FG(g) is the expected acoustic pressure gradient force on the grease particle corresponding to the volume gradient g of the grease particle, V(g) is the median of the gradient interval corresponding to the gradient g, ρ and κ are the air density and air compressibility, respectively. is the sound pressure gradient;

[0020] Based on the acoustic vibration characteristics of the standing wave field and the acoustic impedance ratio between the oil particles and the air, the expected radiation force on the oil particles in different oil particle volume gradient intervals is analyzed. The calculation formula of the expected radiation force is:

[0021]

[0022] Where FD(g) is the expected radiation force on the grease particle corresponding to the volume gradient g of the grease particle, c is the speed of sound, γ is the acoustic impedance ratio between the grease particle and air, |v| is the vibration velocity amplitude of the sound wave, The term represents the gradient of the vibration velocity field of the sound wave;

[0023] Based on the expected acoustic pressure gradient force and expected radiation force of the grease particles, combined with the number distribution weights of grease particles with different volume gradients, the expected penetration rate of grease is comprehensively calculated, specifically:

[0024] The expected net force on the grease particles is obtained by calculating the expected sound pressure gradient force and the expected radiation force on the grease particles;

[0025] By calculating the proportion of the number of oil particles in the smoke distributed in each gradient interval to the total number of smoke particles, the particle number distribution weight corresponding to the volume gradient is dynamically allocated;

[0026] The expected penetration rate of grease is calculated by the expected penetration rate calculation expression, which is:

[0027]

[0028] Where CR is the expected penetration rate, P(g) is the particle number distribution weight corresponding to the g-th volume gradient, FN(g) is the expected net force on the g-th volume gradient particle, d is the path length of the particle moving in the standing wave field, and k is B , T are the Boltzmann constant and the temperature inside the hood respectively, and n is the set number of grease particle volume gradients.

[0029] Preferably, the method of dynamically adjusting the UV light intensity based on the expected penetration rate of grease particles in the secondary filtration process in combination with the flue gas flow rate specifically includes:

[0030] Set the expected penetration rate threshold of grease particles. When the expected penetration rate of grease particles in the secondary filtration process is greater than or equal to the expected penetration rate threshold of grease particles, start the UV light intensity adjustment process.

[0031] Detect the real-time flow rate of the smoke in the fume hood, and calculate the actual UV light exposure time of the grease particles in the reaction chamber based on the length of the UV reaction chamber;

[0032] Set the initial UV light intensity, detect the products generated by the photochemical reaction under the initial UV light intensity, analyze the conversion degree of the photochemical reaction according to the amount of final product generated and the residual amount of the intermediate substance in the reaction, and calculate the photochemical reaction efficiency under the initial UV light intensity;

[0033] The actual degradation rate of oil particles under the initial UV light intensity is calculated based on the actual irradiation time and the photochemical reaction efficiency under the initial UV light intensity;

[0034] Based on the expected penetration rate of grease particles during the secondary filtration process and the number of detected grease particles before the secondary filtration, the actual rate at which the number of grease particles after the secondary filtration enters the UV reaction chamber along with the flue gas is calculated;

[0035] The UV light intensity is adjusted proportionally according to the rate deviation ratio between the actual degradation rate of the oil particles under the initial UV light intensity and the actual rate of entering the UV reaction chamber.

[0036] Preferably, the analyzing the types and contents of byproduct gases in the flue gas after UV light treatment and evaluating the adaptability of the adjusted UV light intensity specifically include:

[0037] Detect the composition and content of flue gas after UV light treatment;

[0038] Obtain all non-target products in the photochemical reaction of UV light irradiating oil particles, screen out the newly generated gases after irradiation with adjusted UV light intensity, mark them as over-reaction by-product gases, and obtain the types and concentrations of the over-reaction by-product gases;

[0039] A comprehensive concentration weighted calculation is performed for each byproduct gas, and the calculation result is marked as the UV light intensity adaptability coefficient.

[0040] Preferably, the UV light intensity secondary adjustment scale is set based on the UV light intensity adaptability, and the UV light intensity is cyclically adjusted until the UV light intensity adaptability reaches the set standard, specifically including:

[0041] The standard reference value of the UV light intensity adaptability coefficient is set, and the secondary adjustment scale of the UV light intensity is set according to the actual ratio of the deviation between the actually calculated UV light intensity adaptability coefficient and the standard reference value of the UV light intensity adaptability coefficient to the standard reference value of the UV light intensity adaptability coefficient;

[0042] The UV light intensity is cyclically adjusted according to the UV light intensity secondary adjustment scale, and the UV light intensity adaptability is re-evaluated after each adjustment until the calculated UV light intensity adaptability coefficient reaches the UV light intensity adaptability coefficient standard reference value, and the UV light intensity adjustment is terminated.

[0043] Furthermore, a fume treatment control system for an intelligent commercial UV fume hood is proposed, which is used to implement the fume treatment control method for an intelligent commercial UV fume hood as described above, including:

[0044] A standing wave field secondary filtering module, wherein the standing wave field secondary filtering module generates a standing wave field by emitting interference sound waves on the upper layer of the smoke hood filter net, captures grease particles in the smoke passing through the filter net, and performs secondary filtering on the grease particles gathered at the wave nodes of the standing wave field;

[0045] Expected penetration rate calculation module: Based on the analysis of the physical and mechanical properties of grease particles in the standing wave field, the expected sound pressure gradient force and the expected radiation force acting on grease particles in different grease particle volume gradient intervals in the smoke during the secondary filtration process are calculated, and the expected penetration rate of grease is comprehensively calculated;

[0046] A UV light intensity dynamic adjustment module, which calculates the actual degradation rate of grease particles under the initial UV light intensity, combines the actual rate calculation result of the number of grease particles entering the UV reaction chamber with the smoke after secondary filtration, and adjusts the UV light intensity according to the rate deviation ratio between the actual degradation rate of grease particles under the initial UV light intensity and the actual rate entering the UV reaction chamber;

[0047] A UV light intensity adaptability evaluation module, which performs a comprehensive concentration weighted calculation on each by-product gas according to the by-product gas analysis results in the flue gas after UV light treatment, and evaluates the adaptability of the adjusted UV light intensity;

[0048] The UV light intensity secondary adjustment module sets the UV light intensity secondary adjustment scale based on the UV light intensity adaptability, and cyclically adjusts the UV light intensity until the UV light intensity adaptability reaches the set standard.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The grease particles in the flue gas are secondary filtered based on the standing wave effect; the physical and mechanical properties of the grease particles in the standing wave field are analyzed, and the expected penetration rate of the grease particles in the flue gas during the secondary filtration process is calculated; based on the expected penetration rate of the grease particles in the secondary filtration process, the UV light intensity is dynamically adjusted in combination with the flue gas flow rate; the types and contents of by-product gases in the flue gas after UV light treatment are analyzed, and the adaptability of the UV light intensity after adjustment is evaluated; based on the adaptability of the UV light intensity, the secondary adjustment scale of the UV light intensity is set, and the UV light intensity is cyclically adjusted.

[0051] The standing wave acoustic field is used as a secondary filtering technology to effectively capture tiny oil particles through acoustic interference and sound pressure gradient. At the same time, combined with the dynamic UV light intensity adjustment mechanism, the intensity of UV light is adjusted in real time to effectively remove oil particles. It can also control ozone and other harmful by-products that may be produced during UV photolysis, so that the exhaust gas meets environmental protection requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A flow chart of a fume treatment control method for an intelligent commercial UV fume hood according to the present invention;

[0053] Figure 2 This is a flow chart of the present invention, which emits interference sound waves on the upper layer of the smoke hood filter to generate a standing wave field, and performs secondary filtration of grease particles in the smoke based on the standing wave effect;

[0054] Figure 3 This is a flow chart of analyzing the physical and mechanical properties of grease particles in a standing wave field and calculating the expected penetration rate of grease particles in smoke during secondary filtration in the present invention;

[0055] Figure 4 This is a flow chart of dynamically adjusting UV light intensity based on the expected penetration rate of grease particles in the secondary filtration process in the present invention in combination with the flue gas flow rate;

[0056] Figure 5 This is a flow chart for analyzing the types and contents of byproduct gases in flue gas after UV light treatment and evaluating the adaptability of UV light intensity after adjustment;

[0057] Figure 6 A flow chart of setting a secondary adjustment scale of UV light intensity based on UV light intensity adaptability of the present invention, and cyclically adjusting the UV light intensity until the UV light intensity adaptability reaches a set standard;

[0058] Figure 7 The present invention is a schematic structural diagram of a smoke treatment control system for an intelligent commercial UV smoke hood. DETAILED DESCRIPTION

[0059] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0060] Reference Figure 1 As shown, a fume treatment control method for an intelligent commercial UV fume hood includes:

[0061] Interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the grease particles in the smoke are filtered twice based on the standing wave effect;

[0062] Analyze the physical and mechanical properties of grease particles in the standing wave field, and calculate the expected penetration rate of grease particles in the flue gas during the secondary filtration process;

[0063] Based on the expected penetration rate of grease particles during the secondary filtration process, the UV light intensity is dynamically adjusted in combination with the flue gas flow rate;

[0064] Analyze the types and contents of byproduct gases in the flue gas after UV light treatment, and evaluate the adaptability of the adjusted UV light intensity;

[0065] The UV light intensity secondary adjustment scale is set based on the UV light intensity adaptability, and the UV light intensity is cyclically adjusted until the UV light intensity adaptability reaches the set standard.

[0066] Reference Figure 2 As shown, interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the grease particles in the smoke are secondary filtered based on the standing wave effect.

[0067] Interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the frequency of the sound waves is adjusted until the number of wave nodes formed in the standing wave field reaches a set number;

[0068] The standing wave field is formed above the filter through the interference of sound waves, and the nodes and antinodes of the sound waves are used to exert physical effects on the grease particles in the smoke. The sound pressure gradient of the standing wave field generates sound wave radiation force, which affects the movement of particles and the filtering process through two main mechanisms.

[0069] The sound pressure gradient force and sound wave radiation force push the grease particles to the standing wave nodes or anti-nodes. Relying on the vibration effect of the sound waves and the pressure difference, the particles will gather in these areas and are easier to be captured in the physical filter.

[0070] The grease particle volume gradient and the corresponding gradient interval are set, and the number of grease particles distributed in each gradient interval in the smoke passing through the filter is detected.

[0071] Due to their large inertia, larger particles gather in the node area of ​​the standing wave after being affected by the radiation force of the sound wave, while smaller particles may further condense through the repeated action of the antinode of the sound wave and the turbulence generated by the airflow. The standing wave field captures the grease particles in the smoke passing through the filter, and the grease particles gathered at the node of the standing wave field are filtered for the second time.

[0072] Reference Figure 3 As shown, the physical and mechanical properties of grease particles in the standing wave field are analyzed, and the expected penetration rate of grease particles in the flue gas during the secondary filtration process is calculated. In the standing wave field, grease particles are affected by the force of sound waves, some particles are captured by the standing wave field or deflected to the filter surface, and some particles may penetrate the standing wave field and enter the subsequent treatment system.

[0073] Based on the sound pressure gradient of the standing wave field and the volume of the grease particles, the expected sound pressure gradient force on the grease particles in different grease particle volume gradient intervals is analyzed. The calculation formula of the expected sound pressure gradient force is:

[0074]

[0075] Where FG(g) is the expected acoustic pressure gradient force on the grease particle corresponding to the volume gradient g of the grease particle, V(g) is the median of the gradient interval corresponding to the gradient g, ρ and κ are the air density and air compressibility, respectively. is the sound pressure gradient;

[0076] Based on the acoustic vibration characteristics of the standing wave field and the acoustic impedance ratio between the oil particles and the air, the expected radiation force on the oil particles in different oil particle volume gradient intervals is analyzed. The calculation formula of the expected radiation force is:

[0077]

[0078] Where FD)g) is the expected radiation force on the grease particle corresponding to the volume gradient g of the grease particle, c is the speed of sound, γ is the acoustic impedance ratio between the grease particle and air, |v| is the vibration velocity amplitude of the sound wave, The term represents the gradient of the vibration velocity field of the sound wave;

[0079] Based on the expected acoustic pressure gradient force and expected radiation force of the grease particles, combined with the number distribution weights of grease particles with different volume gradients, the expected penetration rate of grease is comprehensively calculated, specifically:

[0080] The expected net force on the grease particles is obtained by calculating the expected sound pressure gradient force and the expected radiation force on the grease particles;

[0081] By calculating the proportion of the number of oil particles in the smoke distributed in each gradient interval to the total number of smoke particles, the particle number distribution weight corresponding to the volume gradient is dynamically allocated;

[0082] The expected penetration rate of grease is calculated by the expected penetration rate calculation expression, which is:

[0083]

[0084] Where CR is the expected penetration rate, P(g) is the particle number distribution weight corresponding to the g-th volume gradient, FN(g) is the expected net force on the g-th volume gradient particle, d is the path length of the particle moving in the standing wave field, and k is B , T are the Boltzmann constant and the temperature inside the hood respectively, and n is the set number of grease particle volume gradients.

[0085] Reference Figure 4 As shown, based on the expected penetration rate of grease particles in the secondary filtration process, the UV light intensity is dynamically adjusted in combination with the flue gas flow rate.

[0086] Set the expected penetration rate threshold of grease particles. When the expected penetration rate of grease particles in the secondary filtration process is greater than or equal to the expected penetration rate threshold of grease particles, start the UV light intensity adjustment process. Through chemical reaction formulas and calculations, it ensures that the system can adapt to different oil fume loads, optimize energy consumption and improve processing efficiency.

[0087] The real-time flow rate of the smoke in the fume hood is detected, and the actual UV light exposure time of the grease particles in the reaction chamber is calculated based on the length of the UV reaction chamber.

[0088] The initial UV light intensity was set, the products generated by the photochemical reaction under the initial UV light intensity were detected, the degree of conversion of the photochemical reaction was analyzed based on the amount of final product generated and the residual amount of the intermediate substance in the reaction, and the efficiency of the photochemical reaction under the initial UV light intensity was calculated.

[0089] After setting the initial UV light intensity, the photochemical reaction will begin. UV light decomposes the organic matter in the oil particles to generate a series of final products and intermediate substances. The final products are usually carbon dioxide and water, and the intermediate substances are usually volatile organic compounds such as formaldehyde and acetaldehyde. The system detects the amount of final products generated and the residual amount of intermediate substances, and calculates the photochemical reaction efficiency based on the ratio of the concentration of the final product after the reaction to the sum of the residual amount of intermediate substances and the initial oil particle concentration.

[0090] The actual degradation rate of oil particles under the initial UV light intensity is calculated based on the actual irradiation time and the photochemical reaction efficiency under the initial UV light intensity. The specific calculation method of the actual degradation rate is the ratio of the photochemical reaction efficiency to the actual irradiation time.

[0091] Based on the expected penetration rate of grease particles during the secondary filtration process and the number of detected grease particles before the secondary filtration, the actual rate at which the number of grease particles after the secondary filtration enters the UV reaction chamber along with the flue gas is calculated;

[0092] The UV light intensity is adjusted proportionally according to the rate deviation ratio between the actual degradation rate of the oil particles under the initial UV light intensity and the actual rate of entering the UV reaction chamber.

[0093] Reference Figure 5 As shown, the types and contents of byproduct gases in the flue gas after UV light treatment were analyzed, and the adaptability of the adjusted UV light intensity was evaluated.

[0094] Detect the composition and content of flue gas after UV light treatment;

[0095] All non-target products in the photochemical reaction of UV light irradiating oil particles are obtained, and the newly generated gases after irradiation with adjusted UV light intensity are screened out and marked as over-reaction by-product gases. The types and concentrations of over-reaction by-product gases are obtained. The newly generated gases include gases that have not been generated before or have been generated but the generation amount has increased significantly.

[0096] For example, UV light can decompose oxygen molecules in the air to generate single oxygen atoms, which will quickly combine with other oxygen molecules to generate ozone. Ozone is a strong oxidant. Although it has a certain effect in decomposing oil particles and organic matter, excessive ozone can cause harm to human health and the environment. High concentrations of ozone can irritate the respiratory system and cause symptoms such as coughing, difficulty breathing, and chest pain. Long-term exposure to high ozone environments may lead to decreased lung function and even induce chronic respiratory diseases.

[0097] For the rest, such as polluting nitrogen oxides, volatile organic compounds and photochemical smog, the hazard assessment, comprehensive weight setting and concentration weighted summation of each by-product gas can be carried out to evaluate whether the adjusted UV light intensity is too strong.

[0098] Reference Figure 6 As shown, the UV light intensity secondary adjustment scale is set based on the UV light intensity adaptability, and the UV light intensity is cyclically adjusted until the UV light intensity adaptability reaches the set standard.

[0099] In order to control the generation of these harmful by-products, it is necessary to reasonably adjust the UV light intensity to ensure that while effectively decomposing oil particles and organic matter, no excessive harmful by-products are produced. The system needs to make a secondary adjustment to the UV light intensity.

[0100] The standard reference value of the UV light intensity adaptability coefficient is set, and the secondary adjustment scale of the UV light intensity is set according to the actual ratio of the deviation between the actually calculated UV light intensity adaptability coefficient and the standard reference value of the UV light intensity adaptability coefficient to the standard reference value of the UV light intensity adaptability coefficient. The standard reference value of the UV light intensity adaptability coefficient is comprehensively set by personnel in this field based on the working environment of personnel and the specific environmental protection requirements of the industry, and will not be repeated here.

[0101] The UV light intensity is cyclically adjusted according to the UV light intensity secondary adjustment scale, and the UV light intensity adaptability is re-evaluated after each adjustment until the calculated UV light intensity adaptability coefficient reaches the UV light intensity adaptability coefficient standard reference value, and the UV light intensity adjustment is terminated.

[0102] Reference Figure 7 As shown, a fume treatment control system for an intelligent commercial UV fume hood includes:

[0103] A standing wave field secondary filtering module, wherein the standing wave field secondary filtering module generates a standing wave field by emitting interference sound waves on the upper layer of the smoke hood filter net, captures grease particles in the smoke passing through the filter net, and performs secondary filtering on the grease particles gathered at the wave nodes of the standing wave field;

[0104] Expected penetration rate calculation module: Based on the analysis of the physical and mechanical properties of grease particles in the standing wave field, the expected sound pressure gradient force and the expected radiation force acting on grease particles in different grease particle volume gradient intervals in the smoke during the secondary filtration process are calculated, and the expected penetration rate of grease is comprehensively calculated;

[0105] A UV light intensity dynamic adjustment module, which calculates the actual degradation rate of grease particles under the initial UV light intensity, combines the actual rate calculation result of the number of grease particles entering the UV reaction chamber with the smoke after secondary filtration, and adjusts the UV light intensity according to the rate deviation ratio between the actual degradation rate of grease particles under the initial UV light intensity and the actual rate entering the UV reaction chamber;

[0106] A UV light intensity adaptability evaluation module, which performs a comprehensive concentration weighted calculation on each by-product gas according to the by-product gas analysis results in the flue gas after UV light treatment, and evaluates the adaptability of the adjusted UV light intensity;

[0107] The UV light intensity secondary adjustment module sets the UV light intensity secondary adjustment scale based on the UV light intensity adaptability, and cyclically adjusts the UV light intensity until the UV light intensity adaptability reaches the set standard.

[0108] Furthermore, the present solution also proposes a storage medium for a smoke treatment control method for an intelligent commercial UV smoke hood, on which a computer-readable program is stored. When the computer-readable program is called, the above-mentioned smoke treatment control method for an intelligent commercial UV smoke hood is executed.

[0109] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0110] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A smoke treatment control method for an intelligent commercial UV smoke hood, characterized in that: include: Interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the grease particles in the smoke are filtered twice based on the standing wave effect; Analyze the physical and mechanical properties of grease particles in the standing wave field, and calculate the expected penetration rate of grease particles in the flue gas during the secondary filtration process; Based on the expected penetration rate of grease particles during the secondary filtration process, the UV light intensity is dynamically adjusted in combination with the flue gas flow rate; Analyze the types and contents of byproduct gases in the flue gas after UV light treatment, and evaluate the adaptability of the adjusted UV light intensity; The UV light intensity secondary adjustment scale is set based on the UV light intensity adaptability, and the UV light intensity is cyclically adjusted until the UV light intensity adaptability reaches the set standard.

2. A smoke treatment control method for an intelligent commercial UV fume hood according to claim 1, characterized in that: The method of emitting interference sound waves on the upper layer of the smoke hood filter to generate a standing wave field and performing secondary filtering of grease particles in the smoke based on the standing wave effect specifically includes: Interference sound waves are emitted on the upper layer of the smoke hood filter to generate a standing wave field, and the frequency of the sound waves is adjusted until the number of wave nodes formed in the standing wave field reaches a set number; Set the grease particle volume gradient and the corresponding gradient interval, and detect the number of grease particles in the smoke passing through the filter distributed in each gradient interval; The grease particles in the smoke passing through the filter are captured by the standing wave field, and the grease particles gathered at the nodes of the standing wave field are filtered twice.

3. The smoke treatment control method for an intelligent commercial UV fume hood according to claim 2 is characterized in that: The analysis of the physical and mechanical properties of the grease particles in the standing wave field and the calculation of the expected penetration rate of the grease particles in the smoke during the secondary filtration process specifically include: Based on the sound pressure gradient of the standing wave field and the volume of the grease particles, the expected sound pressure gradient force on the grease particles in different grease particle volume gradient intervals is analyzed. The calculation formula of the expected sound pressure gradient force is: Where FG(g) is the expected acoustic pressure gradient force on the grease particle corresponding to the volume gradient g of the grease particle, V(g) is the median of the gradient interval corresponding to the gradient g, ρ and κ are the air density and air compressibility, respectively. is the sound pressure gradient; Based on the acoustic vibration characteristics of the standing wave field and the acoustic impedance ratio between the oil particles and the air, the expected radiation force on the oil particles in different oil particle volume gradient intervals is analyzed. The calculation formula of the expected radiation force is: Where FD(g) is the expected radiation force on the grease particle corresponding to the volume gradient g of the grease particle, c is the speed of sound, γ is the acoustic impedance ratio between the grease particle and air, |v| is the vibration velocity amplitude of the sound wave, The term represents the gradient of the vibration velocity field of the sound wave; Based on the expected acoustic pressure gradient force and expected radiation force of the grease particles, combined with the number distribution weights of grease particles with different volume gradients, the expected penetration rate of grease is comprehensively calculated, specifically: The expected net force on the grease particles is obtained by calculating the expected sound pressure gradient force and the expected radiation force on the grease particles; By calculating the proportion of the number of oil particles in the smoke distributed in each gradient interval to the total number of smoke particles, the particle number distribution weight corresponding to the volume gradient is dynamically allocated; The expected penetration rate of grease is calculated by the expected penetration rate calculation expression, which is: Where CR is the expected penetration rate, P(g) is the particle number distribution weight corresponding to the g-th volume gradient, FN(g) is the expected net force on the g-th volume gradient particle, d is the path length of the particle moving in the standing wave field, and k is B , T are the Boltzmann constant and the temperature inside the hood respectively, and n is the set number of grease particle volume gradients.

4. The smoke treatment control method for an intelligent commercial UV fume hood according to claim 3 is characterized in that: The method of dynamically adjusting the UV light intensity based on the expected penetration rate of grease particles in the secondary filtration process and the flue gas flow rate specifically includes: Set the expected penetration rate threshold of grease particles. When the expected penetration rate of grease particles in the secondary filtration process is greater than or equal to the expected penetration rate threshold of grease particles, start the UV light intensity adjustment process. Detect the real-time flow rate of the smoke in the fume hood, and calculate the actual UV light exposure time of the grease particles in the reaction chamber based on the length of the UV reaction chamber; Set the initial UV light intensity, detect the products generated by the photochemical reaction under the initial UV light intensity, analyze the conversion degree of the photochemical reaction according to the amount of final product generated and the residual amount of the intermediate substance in the reaction, and calculate the photochemical reaction efficiency under the initial UV light intensity; The actual degradation rate of oil particles under the initial UV light intensity is calculated based on the actual irradiation time and the photochemical reaction efficiency under the initial UV light intensity; Based on the expected penetration rate of grease particles during the secondary filtration process and the number of detected grease particles before the secondary filtration, the actual rate at which the number of grease particles after the secondary filtration enters the UV reaction chamber along with the flue gas is calculated; The UV light intensity is adjusted proportionally according to the rate deviation ratio between the actual degradation rate of the oil particles under the initial UV light intensity and the actual rate of entering the UV reaction chamber.

5. The smoke treatment control method for an intelligent commercial UV fume hood according to claim 4, characterized in that: The analyzing of the types and contents of byproduct gases in the flue gas after UV light treatment and the evaluation of the adaptability of the adjusted UV light intensity specifically include: Detect the composition and content of flue gas after UV light treatment; Obtain all non-target products in the photochemical reaction of UV light irradiating oil particles, screen out the newly generated gases after irradiation with adjusted UV light intensity, mark them as over-reaction by-product gases, and obtain the types and concentrations of the over-reaction by-product gases; A comprehensive concentration weighted calculation is performed for each byproduct gas, and the calculation result is marked as the UV light intensity adaptability coefficient.

6. A smoke treatment control method for an intelligent commercial UV fume hood according to claim 5, characterized in that: The method of setting the secondary adjustment scale of UV light intensity based on the adaptability of UV light intensity and cyclically adjusting the UV light intensity until the adaptability of UV light intensity reaches the set standard specifically includes: The standard reference value of the UV light intensity adaptability coefficient is set, and the secondary adjustment scale of the UV light intensity is set according to the actual ratio of the deviation between the actually calculated UV light intensity adaptability coefficient and the standard reference value of the UV light intensity adaptability coefficient to the standard reference value of the UV light intensity adaptability coefficient; The UV light intensity is cyclically adjusted according to the UV light intensity secondary adjustment scale, and the UV light intensity adaptability is re-evaluated after each adjustment until the calculated UV light intensity adaptability coefficient reaches the UV light intensity adaptability coefficient standard reference value, and the UV light intensity adjustment is terminated.

7. A smoke treatment control system for an intelligent commercial UV fume hood, used to implement a smoke treatment control method for an intelligent commercial UV fume hood as claimed in any one of claims 1 to 6, characterized in that: include: A standing wave field secondary filtering module, wherein the standing wave field secondary filtering module generates a standing wave field by emitting interference sound waves on the upper layer of the smoke hood filter net, captures grease particles in the smoke passing through the filter net, and performs secondary filtering on the grease particles gathered at the wave nodes of the standing wave field; Expected penetration rate calculation module: Based on the analysis of the physical and mechanical properties of grease particles in the standing wave field, the expected sound pressure gradient force and the expected radiation force acting on grease particles in different grease particle volume gradient intervals in the smoke during the secondary filtration process are calculated, and the expected penetration rate of grease is comprehensively calculated; A UV light intensity dynamic adjustment module, which calculates the actual degradation rate of grease particles under the initial UV light intensity, combines the actual rate calculation result of the number of grease particles entering the UV reaction chamber with the smoke after secondary filtration, and adjusts the UV light intensity according to the rate deviation ratio between the actual degradation rate of grease particles under the initial UV light intensity and the actual rate entering the UV reaction chamber; A UV light intensity adaptability evaluation module, which performs a comprehensive concentration weighted calculation on each by-product gas according to the by-product gas analysis results in the flue gas after UV light treatment, and evaluates the adaptability of the adjusted UV light intensity; The UV light intensity secondary adjustment module sets the UV light intensity secondary adjustment scale based on the UV light intensity adaptability, and cyclically adjusts the UV light intensity until the UV light intensity adaptability reaches the set standard.

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