A Dynamically Adjustable Sterilization Method and System Based on UV Disinfection

Abstract

This invention discloses a dynamic adjustment sterilization method and system based on UV disinfection. The method includes the following steps: Step 1: Real-time acquisition of oil fume parameters of the area to be treated via a sensor group; Step 2: Transmission of the oil fume parameters to a processing unit for analysis and processing; Step 3: Dynamic adjustment of the working state of the UV disinfection lamp group according to the analysis results of the processing unit, including at least one of the following adjustment methods: turning on or off a specified number of UV disinfection lamps; adjusting the output brightness of the UV disinfection lamps; wherein the adjustment method is based on the comparison result of the oil fume parameters and a preset threshold; Step 4: Comparison of the oil fume parameters of the adjusted area with the oil fume parameters of the area to be treated acquired in Step 1 to obtain change data. Through the implementation of this invention, real-time oil fume detection eliminates adjustment lag, dynamically adjusts the number and brightness of lamps, significantly reduces energy consumption, and finally improves the overall system efficiency through feedback optimization strategies.

Description

Technical Field

[0001] This invention relates to the field of UV disinfection technology, and in particular to a dynamic adjustment sterilization method and system based on UV disinfection. Background Technology

[0002] Ultraviolet (UV) disinfection technology is a physical sterilization method that uses high-energy photons in the 200-280nm wavelength range (UVC) to destroy the DNA / RNA structure of microorganisms, causing them to lose their ability to replicate. In the field of cooking fume treatment, UV disinfection has become a core technology to replace traditional chemical disinfection due to its characteristics of no chemical residue and highly efficient broad-spectrum sterilization. Its mechanism of action mainly includes: direct inactivation, where the 254nm wavelength can penetrate the cell wall of microorganisms, causing nucleic acid bases to form dimers (inactivation rate > 99.9%); and photo-oxidative decomposition, where the 185nm wavelength excites the air to produce ozone (O3), which oxidizes and decomposes organic pollutants (such as aldehydes and polycyclic aromatic hydrocarbons) in cooking fumes.

[0003] Currently, commercial UV disinfection systems for restaurant fume purification mainly use lamps that operate continuously at a constant power, achieving basic sterilization through a single wavelength; however, this method has the following drawbacks:

[0004] 1. High energy consumption: Traditional photo-oxidation lamps can only operate at a fixed power and cannot be dynamically adjusted according to the concentration of oil fumes, resulting in energy waste during low-concentration periods;

[0005] 2. Delayed adjustment: It relies on preset time programs to switch the lamps on and off, lacks a real-time feedback mechanism for oil fume parameters, and is difficult to cope with sudden fluctuations in concentration;

[0006] 3. Poor adaptability: The single wavelength output mode (usually only 254nm) has low sterilization efficiency for complex oil fumes (such as high oil particles).

[0007] In summary, there is a need for a dynamic adjustment sterilization method and system based on UV disinfection to address the shortcomings of existing technologies. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention provides a dynamic adjustment sterilization method and system based on UV disinfection, aiming to solve the problems of existing UV disinfection methods being unable to dynamically adjust according to actual changes in oil fume, as well as high energy consumption and relatively low work efficiency.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a dynamically adjustable sterilization method based on UV disinfection, comprising the following steps:

[0010] Step 1: Acquire the oil fume parameters of the area to be treated in real time through the sensor array;

[0011] Step 2: Transmit the oil fume parameters to the processing unit for analysis and processing;

[0012] Step 3: Dynamically adjust the working status of the UV disinfection lamp group based on the analysis results of the processing unit, including at least one of the following adjustment methods:

[0013] Turn on or off a specified number of UV disinfection lamps;

[0014] Adjust the output brightness of the UV disinfection lamp;

[0015] The adjustment method is based on the comparison between the oil fume parameters and the preset threshold.

[0016] Step 4: Collect the oil fume parameters of the adjusted area and compare them with the oil fume parameters of the area to be treated obtained in Step 1 to obtain the change data;

[0017] Step 5: Compare and analyze the changed data with historical data to generate an optimized adjustment strategy and feed it back to Step 3. By detecting and analyzing the oil fume parameters in real time, a dynamic closed-loop control is constructed. Specifically, real-time oil fume detection eliminates adjustment lag, dynamically adjusts the number and brightness of lamps, significantly reducing energy consumption, and finally improves the overall system efficiency through feedback optimization strategies.

[0018] Furthermore, the oil fume parameters include at least one of oil fume concentration, particulate matter content, and temperature, and the analysis and processing of oil fume parameters in step 2 includes calculating the real-time change rate of oil fume concentration and identifying the particle size distribution characteristics of particulate matter.

[0019] Furthermore, in step 3, the working state of the UV disinfection lamp assembly is dynamically adjusted via the ballast, and the adjustment logic includes:

[0020] When the concentration of cooking fumes exceeds the first threshold, increase the number of UV disinfection lamps turned on and increase the brightness.

[0021] When the concentration of cooking fumes is below the second threshold, reduce the number of UV disinfection lamps turned on and lower the brightness.

[0022] Furthermore, the adjustment logic is implemented based on a predefined mapping relationship between concentration ranges and lamp group on-state ratios, wherein:

[0023] Each concentration range corresponds to a different ratio of the number of lamps that can be turned on;

[0024] Within the same concentration range, the brightness is linearly adjusted with the rate of change of oil fume concentration.

[0025] Furthermore, step 3 also includes adjusting the wavelength combination of the UV disinfection lamp, specifically:

[0026] Select the on / off combination of UV disinfection lamps with wavelengths of 185nm or 254nm based on the characteristics of particulate matter content.

[0027] Furthermore, in step 5, the generation of the optimization adjustment strategy includes:

[0028] Establish a correlation model between the rate of change of oil fume parameters and the adjustment efficiency of UV disinfection lamp group;

[0029] The preset threshold in step 3 is dynamically updated based on the association model.

[0030] Furthermore, the dynamic adjustment sterilization method based on UV disinfection also includes anomaly handling procedures:

[0031] When the sensor group continuously collects oil fume parameters that exceed the safety threshold, all lamps of the UV disinfection lamp group are forcibly turned on and an alarm signal is triggered.

[0032] Furthermore, the analysis processing performed by the processing unit includes:

[0033] Apply sliding window mean filtering to the oil fume concentration data;

[0034] Predicting the trend of oil fume concentration changes through time series analysis;

[0035] The working status of the UV disinfection lamp group is pre-adjusted based on the prediction results.

[0036] On the other hand, a dynamically regulated sterilization system based on UV disinfection is provided for performing a dynamically regulated sterilization method based on UV disinfection as described above, including:

[0037] UV disinfection lamps are used to emit ultraviolet light for dynamic sterilization.

[0038] Ballast, used to drive the UV disinfection lamp assembly and adjust its brightness and on / off status;

[0039] The detection module is used to collect the oil fume parameters of the area to be processed and the area after adjustment in real time;

[0040] The control module, connected to the ballast, is used to dynamically adjust the number of lamps turned on and off and the output brightness of the UV disinfection lamp group based on the analysis results.

[0041] Data storage unit is used to store historical oil fume parameters, preset thresholds, and optimization adjustment strategies;

[0042] The optimization module, connected to the data storage unit, is used to compare historical data with real-time data and generate optimization strategies that are fed back to the control module.

[0043] Furthermore, the detection module includes an oil fume sensor and a detection probe, and the control module integrates a processing unit and includes a comparator and an adaptive algorithm unit.

[0044] The substantial effects of this invention:

[0045] 1. In this invention, dynamic closed-loop control is constructed by detecting and analyzing oil fume parameters in real time. Specifically, real-time oil fume detection eliminates adjustment lag, dynamically adjusts the number and brightness of lamps, thereby significantly reducing energy consumption. Finally, feedback optimization strategies are used to improve the overall efficiency of the system.

[0046] 2. In this invention, the sterilization accuracy of high-oil fumes is improved by identifying the particle size distribution of particulate matter. Concentration range mapping and linear adjustment achieve the optimal balance between energy consumption and sterilization efficiency. The 185nm / 254nm wavelength combination is used to specifically decompose organic pollutants. Furthermore, the threshold is dynamically updated through the correlation model to adapt to the emission patterns of fumes in different locations. An abnormal forced start mechanism avoids safety risks. At the same time, the response delay is significantly shortened by using sliding filtering combined with trend prediction. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a flowchart of Example 1.

[0049] Figure 2 This is a system principle block diagram for Example 4.

[0050] Figure 3 This is a schematic diagram of the system user menu for Example 4.

[0051] Figure 4 This is a schematic diagram of the system threshold setting in Example 4.

[0052] Figure 5 This is a schematic diagram of the system UV lamp group control in Example 4. Detailed Implementation

[0053] To facilitate understanding of the present invention, a more detailed description is provided below with reference to the accompanying drawings and specific embodiments. It should be noted that when an element is described as being "fixed to" another element, it can be directly on the other element, or one or more intermediate elements may exist between them. When an element is described as being "connected to" another element, it can be directly connected to the other element, or one or more intermediate elements may exist between them. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this specification are for illustrative purposes only.

[0054] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used in this specification includes any and all combinations of one or more of the associated listed items.

[0055] Example 1:

[0056] Reference Figure 1 As shown, a dynamic adjustment sterilization method based on UV disinfection includes the following steps:

[0057] Step 1: Acquire the oil fume parameters of the area to be treated in real time through the sensor array;

[0058] Step 2: Transmit the oil fume parameters to the processing unit for analysis and processing;

[0059] Step 3: Dynamically adjust the working status of the UV disinfection lamp group based on the analysis results of the processing unit, including at least one of the following adjustment methods:

[0060] Turn on or off a specified number of UV disinfection lamps;

[0061] Adjust the output brightness of the UV disinfection lamp;

[0062] The adjustment method is based on the comparison between the oil fume parameters and the preset threshold.

[0063] Step 4: Collect the oil fume parameters of the adjusted area and compare them with the oil fume parameters of the area to be treated obtained in Step 1 to obtain the change data;

[0064] Step 5: Compare and analyze the changed data with historical data, generate an optimized adjustment strategy, and feed it back to Step 3; By detecting and analyzing the oil fume parameters in real time, a dynamic closed-loop control is constructed. Specifically, real-time oil fume detection eliminates adjustment lag, dynamically adjusts the number and brightness of lamps, significantly reducing energy consumption, and finally improves the overall system efficiency through feedback optimization strategies.

[0065] As one implementation method, the oil fume parameters include at least one of oil fume concentration, particulate matter content, and temperature, and the analysis and processing of oil fume parameters in step 2 includes calculating the real-time change rate of oil fume concentration and identifying the particle size distribution characteristics of particulate matter.

[0066] In one implementation, step 3 involves dynamically adjusting the operating state of the UV disinfection lamp assembly via a ballast, and the adjustment logic includes:

[0067] When the concentration of cooking fumes exceeds the first threshold, increase the number of UV disinfection lamps turned on and increase the brightness.

[0068] When the concentration of cooking fumes is below the second threshold, reduce the number of UV disinfection lamps turned on and lower the brightness.

[0069] As one implementation method, the adjustment logic is based on a predefined mapping relationship between concentration ranges and lamp group on-state ratios, wherein:

[0070] Each concentration range corresponds to a different ratio of the number of lamps that can be turned on;

[0071] Within the same concentration range, the brightness is linearly adjusted with the rate of change of oil fume concentration.

[0072] As one implementation method, step 3 further includes adjusting the wavelength combination of the UV disinfection lamp tubes, specifically:

[0073] Select the on / off combination of UV disinfection lamps with wavelengths of 185nm or 254nm based on the characteristics of particulate matter content.

[0074] As one implementation method, step 5, the generation of the optimization adjustment strategy includes:

[0075] Establish a correlation model between the rate of change of oil fume parameters and the adjustment efficiency of UV disinfection lamp group;

[0076] The preset threshold in step 3 is dynamically updated based on the association model.

[0077] As one implementation method, the dynamic adjustment sterilization method based on UV disinfection also includes an anomaly handling process:

[0078] When the sensor group continuously collects oil fume parameters that exceed the safety threshold, all lamps of the UV disinfection lamp group are forcibly turned on and an alarm signal is triggered.

[0079] As one implementation method, the analysis processing performed by the processing unit includes:

[0080] Apply sliding window mean filtering to the oil fume concentration data;

[0081] Predicting the trend of oil fume concentration changes through time series analysis;

[0082] The working status of the UV disinfection lamp group is pre-adjusted based on the prediction results.

[0083] Example 2:

[0084] This embodiment is basically the same as embodiment 1, except that:

[0085] Step 1: Real-time acquisition of oil fume parameters. The sensor group includes: a laser scattering type oil fume concentration sensor (range 0-50mg / m³, accuracy ±0.1mg / m³), a PM2.5 / PM10 particulate matter detection probe, and a temperature sensor (-20℃~150℃); acquisition frequency: 1 time / second, transmitted to the processing unit via LoRa wirelessly.

[0086] Step 2: Analysis and processing. The processing unit uses an STM32F407 chip to perform: sliding window mean filtering (window width 10 sampling points) to eliminate instantaneous interference, and ARIMA time series model to predict the trend of oil fume concentration in the next 30 seconds.

[0087] Step 3: Dynamic adjustment. The adjustment logic includes: when the concentration range is 0-5 mg / m³, the lamp opening ratio is 20%, and the brightness adjustment coefficient is 0.2 × predicted change rate; when the concentration range is 6-20 mg / m³, the lamp opening ratio is 50%, and the brightness adjustment coefficient is 0.5 × predicted change rate; when the concentration range is greater than 20 mg / m³, the lamp opening ratio is 100%, and the brightness adjustment coefficient is 1 × predicted change rate.

[0088] Wavelength combination selection: When the median particle size is >10μm, turn on the 185nm lamp (accounting for 30%).

[0089] Step 4: Feedback optimization and correlation model construction: Using the concentration decrease rate R as the regulation efficiency index: $$R=\frac{C_{before}-C_{after}}{t}$$ ; Update the threshold through linear regression: $$threshold_{new} = threshold_{old}+k·(R_{target}-R)$$;

[0090] Anomaly handling: If the concentration is greater than 40 mg / m³ (safety threshold) in three consecutive samples, the following will be triggered:

[0091] Force all UV lamps to turn on (100% power), activate the audible and visual alarm, and send an alarm code to the cloud.

[0092] Example 3:

[0093] This embodiment is basically the same as embodiment 1, except that it provides dynamic adjustment control logic for the UV disinfection lamp group. The specific implementation steps are as follows:

[0094] Control architecture:

[0095] At the decision-making level, the processing unit runs a fuzzy PID controller, with the input being real-time data and rate of change of oil fume concentration, and the output being the lamp group adjustment command;

[0096] At the execution layer, the digital ballast (model OSRAM QT-FIT5) receives the PWM dimming signal and drives the UV disinfection lamp.

[0097] In the feedback layer, the optimization module transmits sterilization efficiency data back via the Modbus protocol and updates control parameters.

[0098] Dual threshold control:

[0099] Threshold settings: First threshold (high concentration threshold): 20 mg / m³; Second threshold (low concentration threshold): 5 mg / m³; Hysteresis width: ±2 mg / m³ (to prevent frequent switching due to concentration fluctuations);

[0100] Adjust trigger conditions:

[0101] Incremental adjustment: When the real-time oil fume concentration is higher than 22 mg / m³ for two consecutive sampling cycles (first threshold + hysteresis upper limit);

[0102] Reduced concentration adjustment: When the real-time oil fume concentration is below 3 mg / m³ for two consecutive sampling cycles (second threshold - lower limit of hysteresis);

[0103] Adjust execution rules:

[0104] Incremental operation adds 2 UV disinfection lamps to be turned on each time, but the total number of lamps turned on cannot exceed the maximum capacity of the lamp group (e.g., when the system is configured with 10 lamps, the maximum number of lamps turned on cannot exceed 10). Example: Currently 4 lamps are turned on → concentration exceeds the standard → add 2 more → turn on 6 lamps.

[0105] The reduction operation involves decreasing the number of active UV disinfection lamps by 2 each time, but at least 1 lamp must remain active. Example: Currently 6 lamps are active → concentration is too low → turn off 2 → turn on 4.

[0106] The boundary protection mechanism ensures that when the number of lamps turned on has reached the maximum value, no more lamps will be added even if the concentration continues to exceed the standard; when only one lamp is working, no more lamps will be removed even if the concentration continues to be below the threshold.

[0107] Adjustment cycle control: After each adjustment operation, it enters a 5-second lockout state, during which the response to concentration changes is paused. After the lockout state ends, the concentration data is re-detected.

[0108] The ±2mg / m³ hysteresis band design avoids frequent start-stop cycles caused by instantaneous fluctuations in oil fume concentration.

[0109] Gradual adjustment (±2 wires each time) ensures a smooth system transition and prevents sudden power surges;

[0110] The setting of retaining at least one lamp ensures that the basic sterilization capacity continues to operate;

[0111] Concentration range mapping control:

[0112] Dynamic adjustment: When the concentration range is 0-5 mg / m³, the lamp opening ratio is 20%, and the brightness = 70% + 10% × (dC / dt); when the concentration range is 6-20 mg / m³, the lamp opening ratio is 50%, and the brightness = 80% + 30% × (dC / dt); when the concentration range is greater than 20 mg / m³, the lamp opening ratio is 100%, and the brightness = 100% + 50% × (dC / dt); where: dC / dt = (current concentration - previous period concentration) / sampling time interval (seconds), the basic brightness of the 185nm lamp is 50%, and that of the 254nm lamp is 70%.

[0113] Wavelength combination selection:

[0114] Particulate matter feature matching and detection of median particle size: if >10μm, turn on 30% of the 185nm lamps; analyze the oil content: if >15%, increase the 185nm lamps to 50%, if ≤15%, maintain the 185nm lamps at 30%.

[0115] To verify the technical effectiveness of the dynamic adjustment control logic in this embodiment, a comparative test was conducted between the traditional UV system and the system of this embodiment under the same operating conditions. The results are shown in the table below:

[0116] Performance indicators Drive UV system This embodiment Improvement effect Daily energy consumption (kWh) 18.7 12.3 ↓34.2% Sterilization rate 85.2% 97.8% ↓14.8% Response latency (seconds) 22.4 4.7 ↓79.0% Abnormal operating condition handling speed (seconds) 38.6 3.0 ↓92.2%

[0117] Parameter calibration: The sensor is calibrated monthly using a standard fume generator, and the concentration range mapping table is updated quarterly.

[0118] Example 4:

[0119] Reference Figures 2-5 As shown, this embodiment is basically the same as Embodiment 1, except that it provides a dynamically adjustable sterilization system based on UV disinfection, including:

[0120] UV disinfection lamps are used to emit ultraviolet light for dynamic sterilization.

[0121] Ballast, used to drive the UV disinfection lamp assembly and adjust its brightness and on / off status;

[0122] The detection module is used to collect the oil fume parameters of the area to be processed and the area after adjustment in real time;

[0123] The control module, connected to the ballast, is used to dynamically adjust the number of lamps turned on and off and the output brightness of the UV disinfection lamp group based on the analysis results.

[0124] Data storage unit is used to store historical oil fume parameters, preset thresholds, and optimization adjustment strategies;

[0125] The optimization module, connected to the data storage unit, is used to compare historical data with real-time data and generate optimization strategies that are fed back to the control module.

[0126] In one implementation, the detection module includes an oil fume sensor and a detection probe. The oil fume sensor is model MS1100, and the detection probe extends to the center of the smoke hood and is connected to the control module via RS485. The control module integrates a processing unit and includes a comparator and an adaptive algorithm unit to run a PID control program.

[0127] The detection module, consisting of a fume sensor and a detection probe, collects fume data from the area to be treated and transmits it to the control module. The control module dynamically adjusts the number of lamps turned on and off and the output brightness of the UV disinfection lamp group based on the analysis results. The optimization module retrieves historical parameters from the data storage unit to generate an optimization adjustment strategy. The control module outputs a PWM signal to the ballast to specifically adjust the working status of the specific lamps in the UV disinfection lamp group. Finally, the system cycles through the process, updating the feedback every 10 seconds.

[0128] It should be noted that while the preferred embodiments of the present invention are provided in the specification and accompanying drawings, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are not intended to impose additional limitations on the content of the present invention; their purpose is to provide a more thorough and comprehensive understanding of the disclosure of the present invention. Furthermore, the above-described technical features can be combined with each other to form various embodiments not listed above, all of which are considered to be within the scope of the present invention specification. Moreover, those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A dynamically adjustable sterilization method based on UV disinfection, characterized in that, Includes the following steps: Step 1: Acquire the oil fume parameters of the area to be treated in real time through the sensor array; Step 2: Transmit the oil fume parameters to the processing unit for analysis and processing; Step 3: Dynamically adjust the working status of the UV disinfection lamp group based on the analysis results of the processing unit, including the following adjustment methods: Turn on or off a specified number of UV disinfection lamps; Adjust the output brightness of the UV disinfection lamp; The adjustment method is based on the comparison between the oil fume parameters and the preset threshold. The oil fume parameters include oil fume concentration, particulate matter content and temperature. The analysis and processing of the oil fume parameters in step 2 includes calculating the real-time change rate of oil fume concentration and identifying the particle size distribution characteristics. It also includes adjusting the wavelength combination of the UV disinfection lamps, specifically: Select the on / off combination of UV disinfection lamps with wavelengths of 185nm or 254nm based on the characteristics of particulate matter content. Step 4: Collect the oil fume parameters of the adjusted area and compare them with the oil fume parameters of the area to be treated obtained in Step 1 to obtain the change data; Step 5: Compare and analyze the changed data with historical data, generate an optimized adjustment strategy, and feed it back to Step 3.

2. The dynamically adjustable sterilization method based on UV disinfection according to claim 1, characterized in that, In step 3, the working state of the UV disinfection lamp assembly is dynamically adjusted by the ballast, and the adjustment logic includes: When the concentration of cooking fumes exceeds the first threshold, increase the number of UV disinfection lamps turned on and increase the brightness. When the concentration of cooking fumes is below the second threshold, reduce the number of UV disinfection lamps turned on and lower the brightness.

3. The dynamically adjustable sterilization method based on UV disinfection according to claim 2, characterized in that, The adjustment logic is implemented based on a predefined mapping relationship between concentration ranges and lamp group activation ratios, wherein: Each concentration range corresponds to a different ratio of the number of lamps that can be turned on; Within the same concentration range, the brightness is linearly adjusted with the rate of change of oil fume concentration.

4. The dynamically adjustable sterilization method based on UV disinfection according to claim 1, characterized in that, In step 5, the generation of the optimization adjustment strategy includes: Establish a correlation model between the rate of change of oil fume parameters and the adjustment efficiency of UV disinfection lamp group; The preset threshold in step 3 is dynamically updated based on the association model.

5. The dynamically adjustable sterilization method based on UV disinfection according to claim 1, characterized in that, It also includes exception handling procedures: When the sensor group continuously collects oil fume parameters that exceed the safety threshold, all lamps of the UV disinfection lamp group are forcibly turned on and an alarm signal is triggered.

6. The dynamically adjustable sterilization method based on UV disinfection according to claim 1, characterized in that, The analysis and processing performed by the processing unit includes: Apply sliding window mean filtering to the oil fume concentration data; Predicting the trend of oil fume concentration changes through time series analysis; The working status of the UV disinfection lamp group is pre-adjusted based on the prediction results.

7. A dynamic adjustment sterilization system based on UV disinfection, used to implement the dynamic adjustment sterilization method based on UV disinfection as described in any one of claims 1-6, characterized in that, include: UV disinfection lamps are used to emit ultraviolet light for dynamic sterilization. Ballast, used to drive the UV disinfection lamp assembly and adjust its brightness and on / off status; The detection module is used to collect the oil fume parameters of the area to be processed and the area after adjustment in real time; The control module, connected to the ballast, is used to dynamically adjust the number of lamps turned on and off and the output brightness of the UV disinfection lamp group based on the analysis results. Data storage unit is used to store historical oil fume parameters, preset thresholds, and optimization adjustment strategies; The optimization module, connected to the data storage unit, is used to compare historical data with real-time data and generate optimization strategies that are fed back to the control module.

8. The dynamically adjustable sterilization system based on UV disinfection according to claim 7, characterized in that, The detection module includes an oil fume sensor and a detection probe, and the control module integrates a processing unit and includes a comparator and an adaptive algorithm unit.

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