Dynamic adjustment sterilization method and system based on UV disinfection

Abstract

The invention discloses a dynamic regulation sterilization method and system based on UV disinfection. The method comprises the following steps: step 1, acquiring lampblack parameters of a to-be-treated area in real time through a sensor group; 2, transmitting the oil smoke parameters to a processing unit for analysis and processing; step 3, dynamically adjusting the working state of the UV disinfection lamp group according to the analysis result of the processing unit, wherein the working state comprises at least one of the following adjusting modes: turning on or turning off a specified number of UV disinfection lamp tubes; adjusting the output brightness of the UV disinfection lamp tube; wherein the adjusting mode is executed based on a comparison result of the oil smoke parameter and a preset threshold value; and 4, collecting the oil smoke parameters of the adjusted area, and comparing the oil smoke parameters with the oil smoke parameters of the to-be-treated area obtained in the step 1 to obtain change data. Through the implementation of the invention, the adjustment hysteresis is eliminated through real-time oil smoke detection, the number and brightness of the lamp tubes are dynamically adjusted, so that the energy consumption is obviously reduced, and finally the overall efficiency of the system is improved through a feedback optimization strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of UV disinfection, and particularly to a dynamic adjustment sterilization method and system based on UV disinfection. Background Art

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

[0003] Currently, commercial UV disinfection systems mainly use lamp tubes to continuously operate at a constant power in the purification of catering fumes, achieving the basic sterilization function through a single wavelength; however, this method has the following defects:

[0004] 1. High energy consumption: Traditional photo-oxidation lamp groups can only operate at a fixed power and cannot dynamically adjust according to the fume concentration, resulting in energy waste during low-concentration periods;

[0005] 2. Adjustment lag: Relying on a preset time program to switch the lamp tubes on and off, lacking a real-time fume parameter feedback mechanism, it is difficult to cope with sudden concentration fluctuations;

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

[0007] In summary, a dynamic adjustment sterilization method and system based on UV disinfection are needed to solve the deficiencies in the prior art. Summary of the Invention

[0008] Aiming at the deficiencies of the prior art, the present invention provides a dynamic adjustment sterilization method and system based on UV disinfection, aiming to solve the problems that existing UV disinfection cannot dynamically adjust according to the actual dynamic changes of fumes, has relatively high energy consumption, and relatively low working efficiency.

[0009] To achieve the above object, on the one hand, the present invention provides the following technical solution: A dynamic adjustment sterilization method based on UV disinfection, comprising the following steps:

[0010] Step 1: Real-time obtain the fume parameters of the area to be processed through a sensor group;

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

[0012] Step 3: Dynamically adjust the working state of the UV disinfection lamp group according to the analysis result of the processing unit, including at least one of the following adjustment methods:

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

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

[0015] Among them, the adjustment method is executed based on the comparison result between the fume parameters and the preset threshold;

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

[0017] Step 5: Compare and analyze the change data with the historical data, generate an optimized adjustment strategy and feedback it to Step 3. By detecting and analyzing the fume parameters in real time, a dynamic closed-loop control is constructed. Specifically, the adjustment lag is eliminated by real-time fume detection, the number and brightness of the lamp tubes are dynamically adjusted, so that the energy consumption is significantly reduced, and finally the overall efficiency of the system is improved by feedback optimization strategy.

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

[0019] Furthermore, in Step 3, the working state of the UV disinfection lamp group is dynamically adjusted through a ballast, and the adjustment logic includes:

[0020] When the fume concentration is higher than the first threshold, increase the number of turned-on UV disinfection lamp tubes and increase the brightness;

[0021] When the fume concentration is lower than the second threshold, reduce the number of turned-on UV disinfection lamp tubes and reduce the brightness.

[0022] Furthermore, the adjustment logic is implemented based on the mapping relationship between the predefined concentration interval and the lamp group turn-on ratio, where:

[0023] Each concentration interval corresponds to a different ratio of the number of turned-on lamp tubes;

[0024] Within the same concentration interval, the brightness is linearly adjusted according to the change rate of the fume concentration.

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

[0026] Select the on-off combination of UV disinfection lamp tubes with a wavelength of 185 nm or 254 nm according to the particulate matter content characteristics.

[0027] Further, in the step 5, the generation of the optimized adjustment strategy includes:

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

[0029] Based on the association model, dynamically update the preset threshold in step 3.

[0030] Further, the dynamic adjustment sterilization method based on UV disinfection further includes an exception handling process:

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

[0032] Further, the analysis and processing performed by the processing unit include:

[0033] Perform moving window mean filtering on the oil fume concentration data;

[0034] Predict the change trend of the oil fume concentration through time series analysis;

[0035] Pre-adjust the working state of the UV disinfection lamp group based on the prediction result.

[0036] On the other hand, a dynamic adjustment sterilization system based on UV disinfection is provided, which is used to execute a dynamic adjustment sterilization method based on UV disinfection as described above, including:

[0037] A UV disinfection lamp group for emitting ultraviolet rays for dynamic sterilization;

[0038] A ballast for driving the UV disinfection lamp group and adjusting its brightness and switch state;

[0039] A detection module for real-time collecting the oil fume parameters of the area to be processed and the adjusted area;

[0040] A control module, connected to the ballast, for dynamically adjusting the number of lamp tube openings and closings and the output brightness of the UV disinfection lamp group according to the analysis result;

[0041] A data storage unit for storing historical oil fume parameters, preset thresholds, and optimized adjustment strategies;

[0042] An optimization module, connected to the data storage unit, for comparing historical data with real-time data and generating an optimization strategy feedback to the control module.

[0043] Further, 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] Substantive effects of the present invention:

[0045] 1. In the present invention, by detecting and analyzing the oil fume parameters in real time, a dynamic closed-loop control is constructed. Specifically, the adjustment lag is eliminated by real-time oil fume detection, and the number and brightness of the lamp tubes are dynamically adjusted, resulting in a significant reduction in energy consumption. Finally, the overall efficiency of the system is improved through a feedback optimization strategy.

[0046] 2. In the present invention, by identifying the particle size distribution of particulate matter, the sterilization accuracy of high-oil fume is improved. Through concentration interval mapping + linear adjustment, the optimal balance between energy consumption and sterilization efficiency is achieved. The 185nm / 254nm wavelength combination is used to specifically decompose organic pollutants. And by dynamically updating the threshold through an association model, it adapts to the oil fume emission laws in different places. The abnormal forced start mechanism avoids safety risks. At the same time, by combining sliding filtering with trend prediction, the response delay is significantly shortened. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0048] Figure 1 It is a schematic flow chart of Embodiment 1.

[0049] Figure 2 It is a schematic block diagram of the system of Embodiment 4.

[0050] Figure 3 It is a schematic diagram of the system user menu of Embodiment 4.

[0051] Figure 4 It is a schematic diagram of the system threshold setting of Embodiment 4.

[0052] Figure 5 It is a schematic diagram of the system UV lamp group control of Embodiment 4. DETAILED DESCRIPTION OF THE INVENTION

[0053] For ease of understanding the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is expressed as "fixed to" another element, it can be directly on the other element, or there can be one or more intermediate elements therebetween. When an element is expressed as "connected to" another element, it can be directly connected to the other element, or there can be one or more intermediate elements therebetween. The terms "vertical", "horizontal", "left", "right" and similar expressions used in this specification are only for the purpose of illustration.

[0054] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this specification includes any and all combinations of one or more of the related listed items.

[0055] Embodiment 1:

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

[0057] Step 1: Obtain the oil fume parameters of the area to be processed in real time through a sensor group;

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

[0059] Step 3: Dynamically adjust the working state of the UV disinfection lamp group according to the analysis result of the processing unit, including at least one of the following adjustment methods:

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

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

[0062] Among them, the adjustment method is executed based on the comparison result of 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 processed obtained in Step 1 to obtain the change data;

[0064] Step 5: Compare and analyze the change data with the historical data, generate an optimized adjustment strategy and feedback it to Step 3; by detecting and analyzing the oil fume parameters in real time, a dynamic closed-loop control is constructed. Specifically, the adjustment hysteresis is eliminated through real-time oil fume detection, the number of lamp tubes and the brightness are dynamically adjusted, so that the energy consumption is significantly reduced, and finally the overall efficiency of the system is improved by feedback optimization strategy.

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

[0066] As an implementation manner, in step 3, the working state of the UV disinfection lamp group is dynamically adjusted through a ballast, and the adjustment logic includes:

[0067] When the fume concentration is higher than the first threshold, increase the number of turned-on UV disinfection lamp tubes and increase the brightness;

[0068] When the fume concentration is lower than the second threshold, reduce the number of turned-on UV disinfection lamp tubes and reduce the brightness.

[0069] As an implementation manner, the adjustment logic is implemented based on the mapping relationship between the predefined concentration interval and the lamp group turn-on ratio, where:

[0070] Each concentration interval corresponds to a different ratio of the number of turned-on lamp tubes;

[0071] Within the same concentration interval, the brightness is linearly adjusted according to the change rate of the fume concentration.

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

[0073] Select the on-off combination of the 185nm or 254nm wavelength UV disinfection lamp tubes according to the particulate matter content characteristics.

[0074] As an implementation manner, in step 5, the generation of the optimized adjustment strategy includes:

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

[0076] Dynamically update the preset threshold in step 3 based on the association model.

[0077] As an implementation manner, the dynamic adjustment sterilization method based on UV disinfection further includes an exception handling process:

[0078] When the sensor group continuously collects fume parameters exceeding the safety threshold, forcefully turn on all the lamp tubes of the UV disinfection lamp group and trigger an alarm signal.

[0079] As an implementation manner, the analysis and processing performed by the processing unit include:

[0080] Perform moving window mean filtering on the fume concentration data;

[0081] Predict the change trend of the fume concentration through time series analysis;

[0082] Pre - adjust the working state of the UV disinfection lamp group based on the prediction results.

[0083] Example 2:

[0084] This example is basically the same as Example 1, the differences are as follows:

[0085] Step 1: Real - time collection 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℃); collection frequency: 1 time / second, and transmitted wirelessly to the processing unit through LoRa.

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

[0087] Step 3: Dynamic adjustment, the adjustment logic is as follows: when the concentration range is 0 - 5 mg / m³, the lamp - on 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 - on 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 - on ratio is 100%, and the brightness adjustment coefficient is 1×predicted change rate.

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

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

[0090] Abnormal handling, when the concentration greater than 40mg / m³ (safety threshold) is collected continuously for 3 times, trigger:

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

[0092] Example 3:

[0093] This example is basically the same as Example 1, the difference is that it provides the dynamic adjustment control logic of the UV disinfection lamp group, and the specific implementation steps are as follows:

[0094] Control Architecture:

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

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

[0097] At the feedback layer, the optimization module transmits sterilization efficiency data back through the Modbus protocol to update the control parameters.

[0098] Dual threshold control:

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

[0100] Adjustment trigger conditions:

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

[0102] Reduction regulation: When the real-time oil smoke concentration is lower than 3mg / m³ (the second threshold - the lower limit of the hysteresis band) for two consecutive sampling cycles;

[0103] Regulation execution rules:

[0104] Incremental operation, add 2 UV disinfection lamps each time, but the total number of lamps turned on does not exceed the maximum capacity of the lamp group (for example, when the system is configured with 10 lamps, the maximum number of lamps turned on does not exceed 10). Example: Currently 4 lamps are turned on → concentration exceeds the standard → add 2 lamps → turn on 6 lamps;

[0105] Reduction operation, reduce 2 UV disinfection lamps each time, but keep at least 1 lamp in working state, example: currently 6 lamps are turned on → concentration is too low → turn off 2 → turn on 4;

[0106] Boundary protection mechanism: when the number of active lamps has reached the maximum, no more lamps will be added even if the concentration continues to exceed the standard; when only one lamp is left working, no more lamps will be added even if the concentration continues to fall below the threshold;

[0107] Adjustment cycle control: After each adjustment operation, the system enters a 5-second lock state, during which it pauses responding to concentration changes. After the lock state ends, the concentration data is re-tested.

[0108] The ±2mg / m³ hysteresis band design avoids frequent starts and stops caused by instantaneous fluctuations in oil fume concentration;

[0109] Progressive adjustment (±2 tubes each time) ensures a smooth transition of the system and prevents sudden power changes;

[0110] The setting of retaining at least 1 tube ensures the continuous operation of the basic sterilization ability;

[0111] Concentration interval mapping control:

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

[0113] Wavelength combination selection:

[0114] Match the characteristics of particulate matter and detect the median particle size of particulate matter: If >10μm, then turn on 30% of the 185nm lamps; Analyze the proportion of oil: If >15%, then increase the 185nm lamps to 50%, if ≤15%, then maintain the 185nm lamps at 30%;

[0115] To verify the technical effect of the dynamic adjustment control logic of this embodiment, a comparative test was conducted on the traditional UV system and the system of this embodiment under the same working conditions, and the results are shown in the following table:

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

[0117] Parameter calibration: Calibrate the sensor through a standard oil fume generator every month, and update the concentration interval mapping table every quarter.

[0118] Example 4:

[0119] Refer to Figures 2 - 5 As shown, this embodiment is basically the same as Embodiment 1, the difference being that a dynamic adjustment sterilization system based on UV disinfection is provided, including:

[0120] A UV disinfection lamp group for emitting ultraviolet rays for dynamic sterilization;

[0121] A ballast for driving the UV disinfection lamp group and adjusting its brightness and switch state;

[0122] A detection module for real-time collection of the oil fume parameters in the area to be processed and the adjusted area;

[0123] A control module, connected to the ballast, for dynamically adjusting the number of lamp turn - ons and offs and the output brightness of the UV disinfection lamp group according to the analysis result;

[0124] A data storage unit for storing historical fume parameters, preset thresholds, and optimization adjustment strategies;

[0125] An optimization module, connected to the data storage unit, for comparing historical data with real - time data and generating an optimization strategy that is fed back to the control module.

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

[0127] The detection module composed of the fume sensor and the detection probe collects and obtains the fume data of the area to be processed, and transmits it to the control module. The control module dynamically adjusts the number of lamp turn - ons and offs and the output brightness of the UV disinfection lamp group according to the analysis result. The optimization module retrieves the historical parameters in 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 state of the specific lamps in the UV disinfection lamp group, and finally loops and executes feedback updates every 10 seconds.

[0128] It should be noted that the description and drawings of the present invention give preferred embodiments of the present invention. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. These embodiments are not additional limitations to the content of the present invention. The purpose of providing these embodiments is to make the understanding of the disclosed content of the present invention more thorough and comprehensive. Further, the above - mentioned technical features continue to be combined with each other to form various embodiments not listed above, which are all regarded as within the scope described in the specification of the present invention. Further, for those of ordinary skill in the art, improvements or transformations can be made according to the above description, and all such improvements and transformations should fall within the protection scope of the appended claims of the present invention.

Claims

1. A dynamic adjustment sterilization method based on UV disinfection, characterized in that, It includes the following steps: Step 1: Obtain the oil fume parameters of the area to be processed in real time through a sensor group; Step 2: Transmit the oil fume parameters to a processing unit for analysis and processing; Step 3: Dynamically adjust the working state of the UV disinfection lamp group according to the analysis result of the processing unit, including at least one of the following adjustment methods: Turn on or off a specified number of UV disinfection lamp tubes; Adjust the output brightness of the UV disinfection lamp tubes; Among them, the adjustment method is executed based on the comparison result between the oil fume parameters and the preset threshold; Step 4: Collect the oil fume parameters of the adjusted area and compare them with the oil fume parameters of the area to be processed obtained in Step 1 to obtain change data; Step 5: Compare and analyze the change data with historical data, generate an optimized adjustment strategy and feedback it to Step 3.

2. The dynamic adjustment sterilization method based on UV disinfection according to claim 1, wherein The oil fume parameters include at least one of oil fume concentration, particulate matter content and temperature, and the analysis and processing of the oil fume parameters in Step 2 include calculating the real-time change rate of the oil fume concentration and identifying the particle size distribution characteristics of the particulate matter.

3. The dynamic adjustment sterilization method based on UV disinfection according to claim 1, characterized in that, In Step 3, the working state of the UV disinfection lamp group is dynamically adjusted through a ballast, and the adjustment logic includes: When the oil fume concentration is higher than the first threshold, increase the number of turned-on UV disinfection lamp tubes and increase the brightness; When the oil fume concentration is lower than the second threshold, reduce the number of turned-on UV disinfection lamp tubes and reduce the brightness.

4. The dynamic adjustment sterilization method based on UV disinfection according to claim 3, wherein, The adjustment logic is implemented based on the mapping relationship between the predefined concentration interval and the lamp group turn-on ratio, where: Each concentration interval corresponds to a different ratio of the number of turned-on lamp tubes; Within the same concentration interval, the brightness is linearly adjusted with the change rate of the oil fume concentration.

5. The dynamic adjustment sterilization method based on UV disinfection according to claim 1, wherein, Step 3 also includes adjusting the wavelength combination of the UV disinfection lamp tubes, specifically: Select the on-off combination of UV disinfection lamp tubes with wavelengths of 185nm or 254nm according to the particulate matter content characteristics.

6. The dynamic adjustment sterilization method based on UV disinfection according to claim 1, wherein In Step 5, the generation of the optimized adjustment strategy includes: Establish an association model between the change rate of the oil fume parameters and the adjustment efficiency of the UV disinfection lamp group; Dynamically update the preset threshold in Step 3 based on the association model.

7. The dynamic adjustment sterilization method based on UV disinfection according to claim 1, characterized in that, It also includes an exception handling process: When the sensor group continuously collects oil fume parameters exceeding the safety threshold, forcefully turn on all the lamp tubes of the UV disinfection lamp group and trigger an alarm signal.

8. The dynamic adjustment sterilization method based on UV disinfection according to claim 1, wherein The analysis and processing executed by the processing unit include: Perform moving window mean filtering on the oil fume concentration data; Predict the change trend of the oil fume concentration through time series analysis; Pre-adjust the working state of the UV disinfection lamp group based on the prediction result.

9. A dynamic adjustment sterilization system based on UV disinfection, which is used to implement the dynamic adjustment sterilization method based on UV disinfection according to any one of claims 1-8, and is characterized in that, It includes: A UV disinfection lamp group for emitting ultraviolet rays for dynamic disinfection; A ballast for driving the UV disinfection lamp group and adjusting its brightness and switch state; A detection module for real-time collecting the oil fume parameters of the area to be processed and the adjusted area; A control module, connected to the ballast, for dynamically adjusting the number of turned-on and off lamp tubes and the output brightness of the UV disinfection lamp group according to the analysis result; A data storage unit for storing historical oil fume parameters, preset thresholds and optimized adjustment strategies; An optimization module, connected to the data storage unit, for comparing historical data with real-time data and generating an optimization strategy feedback to the control module.

10. The dynamic adjustment sterilization system based on UV disinfection according to claim 9, wherein, 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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