A smoke treatment control method and system for intelligent commercial UV smoke hood

Abstract

The present invention discloses a smoke treatment control method for an intelligent commercial UV smoke hood, which relates to the field of smoke treatment control of UV smoke hoods. The method comprises: emitting interference sound waves on an upper layer of a smoke hood filter net to generate a standing wave field, and performing secondary filtration on grease particles in the smoke based on the standing wave effect; 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; dynamically adjusting the UV light intensity based on the expected penetration rate of the grease particles in the secondary filtration process in combination with the smoke flow rate; analyzing the types and contents of by-product gases in the smoke after UV light treatment, and evaluating the adaptability of the UV light intensity after adjustment; setting a secondary adjustment scale of the UV light intensity based on the adaptability of the UV light intensity, and cyclically adjusting the UV light intensity until the adaptability of the UV light intensity reaches the 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 treatment, grease particles and other volatile organic compounds are major sources of air pollution. With increasing environmental protection requirements, the catering and industrial sectors are increasingly demanding the purification of exhaust air, particularly for the treatment of particulate matter and harmful gases in cooking fumes. Although current kitchen and industrial flue gas treatment systems utilize technologies such as mechanical filtration, electrostatic precipitators, and UV photolysis, these single technologies struggle to effectively treat grease particles and organic pollutants under high loads or complex operating conditions. Mechanical filters are less effective for filtering small particles, electrostatic precipitators are difficult to clean and maintain, and UV photolysis lacks precise control of light intensity, preventing optimal treatment.

[0003] How to implement a flue gas treatment control method for intelligent commercial UV fume hoods, using standing wave acoustic wave fields as secondary filtration technology to effectively capture tiny grease particles through acoustic interference and sound pressure gradients, while combining a 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 fume hoods, is an urgent problem that needs 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 objects, 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 of interference sound waves on the upper layer of the smoke hood filter to generate a standing wave field, and performing secondary filtration 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 sound wave frequency is adjusted until the number of 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 distributed in each gradient interval in the smoke passing through the filter;

[0015] The standing wave field is used to capture the grease particles in the smoke passing through the filter, 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 grease particles and the air, the expected radiation force on the grease particles in different grease particle volume gradient intervals is analyzed. The expected radiation force is calculated as follows:

[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, and |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 calculated 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 acoustic pressure gradient force and the expected radiation force on the grease particles.

[0025] By calculating the proportion of the number of grease 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 using the expected penetration rate calculation expression. The expected penetration rate calculation expression 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 number of set 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 and 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 flue gas 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 based on the amount of final product generated and the residual amount of reaction intermediate substances, 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 enters the UV reaction chamber along with the flue gas after the secondary filtration 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 gases newly generated 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 on each by-product gas, and the calculation result is marked as the UV light intensity adaptability coefficient.

[0040] Preferably, the setting of the secondary adjustment scale of UV light intensity based on the adaptability of UV light intensity and the cyclic adjustment of UV light intensity until the adaptability of UV light intensity reaches the set standard specifically includes:

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

[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 ended.

[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, comprising:

[0044] A standing wave field secondary filtration module, which generates a standing wave field by emitting interfering sound waves on the upper layer of the smoke hood filter, captures grease particles in the smoke passing through the filter, and performs secondary filtration on the grease particles accumulated at the nodes of the standing wave field;

[0045] Expected penetration calculation module: Based on the analysis of the physical and mechanical properties of grease particles in the standing wave field, the module calculates the expected acoustic pressure gradient force and the expected radiation force on grease particles in different grease particle volume gradient intervals in the flue gas during the secondary filtration process, and comprehensively calculates the expected penetration of grease;

[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 flue gas 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 of grease particles entering the UV reaction chamber;

[0047] A UV light intensity adaptability evaluation module, which performs a weighted calculation of the comprehensive concentration of each by-product gas based on 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 a 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 method performs secondary filtration on grease particles in the flue gas based on the standing wave effect; analyzes the physical and mechanical properties of grease particles in the standing wave field, and calculates the expected penetration rate of grease particles in the flue gas during the secondary filtration process; dynamically adjusts the UV light intensity based on the expected penetration rate of grease particles in the secondary filtration process and the flue gas flow rate; analyzes the types and contents of by-product gases in the flue gas after UV light treatment, and evaluates the adaptability of the UV light intensity after adjustment; sets the secondary adjustment scale of the UV light intensity based on the adaptability of the UV light intensity, and cyclically adjusts the UV light intensity.

[0051] Using standing wave acoustic wave field as a secondary filtration technology, tiny oil particles are effectively captured through acoustic wave 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 byproducts that may be produced during UV photolysis, so that the exhaust gas meets environmental protection requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is 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 transmits 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 for 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.

[0055] Figure 4 This is a flow chart of the present invention for dynamically adjusting 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;

[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 the adjusted UV light intensity;

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

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

[0059] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive 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 sound wave frequency is adjusted until the number of nodes formed in the standing wave field reaches a set number;

[0068] A standing wave field is formed above the filter through acoustic interference, using the nodes and antinodes of the waves to physically affect grease particles in the smoke. The sound pressure gradient in the standing wave field generates a radiation force, which affects particle movement and the filtration process through two primary 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 and pressure difference of the sound waves, the particles will gather in these areas and are easier to be captured in physical filters.

[0070] Set the grease particle volume gradient and the corresponding gradient interval, and detect the number of grease particles distributed in each gradient interval in the smoke passing through the filter.

[0071] Larger particles, due to their greater inertia, are attracted to the nodes of the standing waves by the radiation force of the sound waves. Smaller particles may further condense due to the repeated action of the sound wave antinodes and the turbulence generated by the airflow. The standing wave field captures grease particles in the smoke passing through the filter, and the grease particles accumulated at the nodes of the standing wave field are filtered again.

[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 grease particles and the air, the expected radiation force on the grease particles in different grease particle volume gradient intervals is analyzed. The expected radiation force is calculated as follows:

[0077]

[0078] Where FD)g) is the expected radiation force on the grease particle corresponding to the grease particle volume gradient g, 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 calculated 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 acoustic pressure gradient force and the expected radiation force on the grease particles.

[0081] By calculating the proportion of the number of grease 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 using the expected penetration rate calculation expression. The expected penetration rate calculation expression 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 number of set grease particle volume gradients.

[0085] Reference Figure 4 As shown, the UV light intensity is dynamically adjusted based on the expected penetration rate of grease particles in the secondary filtration process and 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 flue gas 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] 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 based on the amount of final product generated and the residual amount of reaction intermediate substances, and calculate the photochemical reaction efficiency under the initial UV light intensity.

[0089] After setting the initial UV light intensity, the photochemical reaction will begin. UV light decomposes the organic matter in the oil particles to produce 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 produced and the residual amount of intermediate substances, and calculates the photochemical reaction efficiency based on the ratio of the final product concentration 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 comprehensive calculation of 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 enters the UV reaction chamber along with the flue gas after the secondary filtration 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 by-product 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 the 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 break down oxygen molecules in the air into single oxygen atoms, which quickly combine with other oxygen molecules to form ozone. Ozone is a strong oxidant. While it is effective in breaking down oil particles and organic matter, excessive ozone can be harmful to human health and the environment. High concentrations of ozone can irritate the respiratory system, causing symptoms such as coughing, difficulty breathing, and chest pain. Long-term exposure to high ozone levels can lead to decreased lung function and even chronic respiratory diseases.

[0097] For the rest, such as polluting nitrogen oxides, volatile organic compounds, and photochemical smog, a hazard assessment, comprehensive weight setting, and concentration-weighted summation are performed on each by-product gas to assess 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 byproducts, it is necessary to reasonably adjust the UV light intensity to ensure that while effectively decomposing oil particles and organic matter, no excessive harmful byproducts are produced. The system needs to perform secondary adjustment of 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 personnel working environment 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 ended.

[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 filtration module, which generates a standing wave field by emitting interfering sound waves on the upper layer of the smoke hood filter, captures grease particles in the smoke passing through the filter, and performs secondary filtration on the grease particles accumulated at the nodes of the standing wave field;

[0104] Expected penetration calculation module: Based on the analysis of the physical and mechanical properties of grease particles in the standing wave field, the module calculates the expected acoustic pressure gradient force and the expected radiation force on grease particles in different grease particle volume gradient intervals in the flue gas during the secondary filtration process, and comprehensively calculates the expected penetration of grease;

[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 flue gas 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 of grease particles entering the UV reaction chamber;

[0106] A UV light intensity adaptability evaluation module, which performs a weighted calculation of the comprehensive concentration of each by-product gas based on 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 a 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 disk (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 merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended 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 by-product 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; The analysis of the physical and mechanical properties of grease particles in the standing wave field and the calculation of the expected penetration rate of 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 grease particles and the air, the expected radiation force on the grease particles in different grease particle volume gradient intervals is analyzed. The expected radiation force is calculated as follows: 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, and |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 calculated 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 acoustic pressure gradient force and the expected radiation force on the grease particles. By calculating the proportion of the number of grease 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 using the expected penetration rate calculation expression. The expected penetration rate calculation expression 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 number of set grease particle volume gradients.

2. The 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 filtration 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 sound wave frequency is adjusted until the number of 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 distributed in each gradient interval in the smoke passing through the filter; The standing wave field is used to capture the grease particles in the smoke passing through the filter, 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, 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 flue gas 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 based on the amount of final product generated and the residual amount of reaction intermediate substances, 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 enters the UV reaction chamber along with the flue gas after the secondary filtration 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.

4. The smoke treatment control method for an intelligent commercial UV fume hood according to claim 3, characterized in that: The analysis 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 gases newly generated 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 on each by-product gas, and the calculation result is marked as the UV light intensity adaptability coefficient.

5. The smoke treatment control method for an intelligent commercial UV fume hood according to claim 4, characterized in that: The method of setting a secondary adjustment scale of UV light intensity based on UV light intensity adaptability and cyclically adjusting UV light intensity until UV light intensity adaptability reaches a set standard specifically includes: Set the UV light intensity adaptability coefficient standard reference value, and set the UV light intensity secondary adjustment scale according to the actual ratio of the deviation between the actually calculated UV light intensity adaptability coefficient and the UV light intensity adaptability coefficient standard reference value to the UV light intensity adaptability coefficient standard reference value; 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 ended.

6. A smoke treatment control system for an intelligent commercial UV smoke hood, used to implement a smoke treatment control method for an intelligent commercial UV smoke hood according to any one of claims 1 to 5, characterized in that: include: A standing wave field secondary filtration module, which generates a standing wave field by emitting interfering sound waves on the upper layer of the smoke hood filter, captures grease particles in the smoke passing through the filter, and performs secondary filtration on the grease particles accumulated at the nodes of the standing wave field; Expected penetration calculation module: Based on the analysis of the physical and mechanical properties of grease particles in the standing wave field, the module calculates the expected acoustic pressure gradient force and the expected radiation force on grease particles in different grease particle volume gradient intervals in the flue gas during the secondary filtration process, and comprehensively calculates the expected penetration of grease; 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 flue gas 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 of grease particles entering the UV reaction chamber; A UV light intensity adaptability evaluation module, which performs a weighted calculation of the comprehensive concentration of each by-product gas based on 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 a 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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