Filtering system based on activated carbon adsorption

Abstract

The invention relates to the field of industrial waste gas purification, in particular to a filtering system based on activated carbon adsorption, which comprises a front filtering part and a rear filtering part, and the rear filtering part comprises a first rotary filtering unit and a cylindrical second rotary filtering unit which are respectively provided with activated carbon and fruit shell double-adsorption materials. The first motor and the second motor drive the rotating mechanism to realize dynamic switching of the adsorption surfaces; the method comprises the following steps: acquiring concentration data of antibiotic waste gas at a front inlet and after primary treatment in real time through a detection module, constructing a dynamic risk assessment model in combination with a historical storage module, and dynamically adjusting a risk coefficient by the risk assessment module according to a gas concentration sequence and a weight rank difference; the first analysis module controls the rotating mode of the cake filtering unit based on the adsorption efficiency ratio, and the second analysis module adjusts the rotating speed of the cylinder filtering unit according to the weighted filtering effect parameter. According to the invention, self-adaptive adjustment of the filter system on antibiotic waste gas component fluctuation is realized, and the utilization rate of an adsorption material and the pollutant removal efficiency are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of industrial waste gas purification, and in particular to a filtering system based on activated carbon adsorption. Background Art

[0002] During the preparation of antibiotics, waste gas emissions are characterized by complex composition, large concentration fluctuations, and high biological toxicity. They mainly include volatile organic compounds (VOCs, such as acetone and ethyl acetate), sulfur-containing compounds (such as ), residual antibiotics and intermediates and other pollutants.

[0003] A Chinese utility model patent (CN202527044U) discloses an environmentally friendly treatment system for pharmaceutical waste gas, comprising a pipeline, a waste gas purification tower, a filter paper layer adsorption filter, a fan, and an exhaust tower. One end of the pipeline is connected to the waste gas discharge outlet of the production system, and the other end of the pipeline is connected to the waste gas purification tower. The filter paper layer adsorption filter comprises a tank body with a waste gas inlet and a waste gas outlet. The tank body has multiple filter channels distributed within it, and filter paper layer adsorption plate devices are provided on both sides of the filter channels. The waste gas inlet and the waste gas outlet are respectively connected to the filter channels. Because the pharmaceutical waste gas environmental treatment system provided by the utility model comprises multiple filter channels with filter paper layer adsorption plate devices on the side walls, the waste gas flowing through the filter channels can be more thoroughly cleared of various harmful substances such as microparticles. Moreover, the multi-channel structure can increase the contact area between the filter adsorption device and the waste gas, thereby making the discharged waste gas more in line with environmental protection requirements.

[0004] It can be seen that in traditional treatment processes, although activated carbon adsorption can partially remove organic matter, it faces the following bottlenecks: 1. The adsorption efficiency of single activated carbon on mixed pollutants with large polarity differences (such as hydrophilic acetone and hydrophobic benzene series) is uneven, resulting in the penetration of low-adsorbability components; 2. The switching of production batches causes drastic fluctuations in the exhaust gas flow and concentration, and the static adsorption layer is prone to local saturation failure; 3. The 60% to 80% humidity in fermentation exhaust gas exacerbates activated carbon pore clogging, causing adsorption capacity decay to increase 2-3 times compared to dry exhaust gas. Existing technology uses multiple fixed-bed systems in series, which can extend the operating cycle but increases system pressure drop by 40% to 60%, and frequent start-stop and filter media replacement can easily lead to secondary contamination.

[0005] In order to address the environmental risks of trace amounts of drug-resistant substances in antibiotic waste gas, it is urgent to build an efficient purification system with dynamic adjustment capabilities and the coordination of multiple adsorption media. Summary of the Invention

[0006] To this end, the present invention provides a filtration system based on activated carbon adsorption to overcome the problem in the prior art of lacking an efficient purification system with dynamic adjustment capabilities and multi-adsorption media collaboration when filtering trace drug-resistant substances in antibiotic waste gas.

[0007] To achieve the above objectives, the present invention provides a filtration system based on activated carbon adsorption, comprising: A pre-filter section, which is used to filter out tiny particles and impurities in antibiotic waste gas; A post-filter unit, which is arranged at the rear end of the pre-filter unit and is used to absorb harmful gases and odors in the antibiotic waste gas, and includes a first rotary filter unit and a second rotary filter unit; The first rotary filter unit has activated carbon on one side and fruit shell on the other side, and is capable of rotating around an axis; The second rotary filter unit includes an activated carbon portion and a fruit shell portion, and is capable of rolling in situ; a detection module configured to obtain, through a first detection unit, a first gas concentration dataset of the first antibiotic waste gas at the inlet of the pre-filter portion, and to obtain, through a second detection unit, a second gas concentration dataset of the second antibiotic waste gas after passing through the first rotary filter unit; a first analysis module configured to determine an adsorption efficiency ratio based on the first gas concentration dataset and the activated carbon adsorption amount and the fruit shell adsorption amount of the first rotary filter unit to determine an operating state of the first rotary filter unit; a second analysis module connected to the first analysis module, configured to determine a filtration effect parameter based on the first gas concentration dataset, the second gas concentration dataset, and a risk weight coefficient of each harmful gas, so as to determine an operating state of the second rotary filter unit; An action execution module is connected to the first analysis module and the second analysis module respectively, and is used to determine whether to immediately switch or delay the operating status of the first rotary filter unit and the second rotary filter unit according to the dynamic change trend of the adsorption efficiency ratio, the filtration effect parameter and the risk weight coefficient.

[0008] Furthermore, the method further includes a history storage module for storing the first gas concentration data set and the second gas concentration data set as detection history data; A risk assessment module is configured to obtain a first sequence of harmful gases in the first gas concentration data set arranged by weight coefficients and a second sequence of harmful gases in the first gas concentration data set arranged by concentration values, and determine a concentration deviation rate of each harmful gas concentration in the first gas concentration data set relative to an average concentration of historical detection data, so as to determine an adjustment amplitude of the risk weight coefficient based on the risk weight coefficient and the concentration deviation rate, wherein: The first sequence is determined by arranging the risk weight coefficients corresponding to the harmful gases in the first gas concentration dataset in descending order; The second sequence is determined by arranging the concentration values ​​of each harmful gas in the first gas concentration data set in descending order; The concentration deviation rate is determined based on the concentration of the harmful gas relative to the average concentration of the historical detection data.

[0009] Further, the risk assessment module calculates the risk weight coefficient rank difference of the risk weight coefficient in the first sequence and the second sequence, determines the gas correlation coefficient of the harmful gas based on the risk weight coefficient rank difference, and determines the gas overlap ratio of the first K harmful gases based on the first sequence and the second sequence, and determines whether to increase or decrease the risk weight coefficient according to the adjustment amplitude according to the gas correlation coefficient and the gas overlap ratio, wherein, If the gas correlation coefficient is greater than or equal to the standard gas correlation coefficient, and the gas overlap ratio is greater than or equal to the standard gas overlap ratio, then determining to dynamically adjust the risk weight coefficient to increase the adjustment amplitude; Otherwise, determining the risk weight coefficient to be dynamically adjusted to reduce the adjustment amplitude; Set K to the maximum order of occurrence of the harmful gas in the first sequence and the second sequence.

[0010] Furthermore, the first analysis module obtains the comprehensive adsorption rate of the activated carbon end and the comprehensive adsorption rate of the fruit shell end in the first rotary filtration unit, and determines the adsorption efficiency ratio based on the ratio of the comprehensive adsorption rate of the activated carbon end to the comprehensive adsorption rate of the fruit shell end, wherein: The activated carbon end comprehensive adsorption rate is determined by calculating the adsorption rate of the activated carbon in the first rotary filter unit for each harmful gas concentration in the first gas concentration data set, and accumulating and summing the calculated adsorption rate; The comprehensive adsorption rate at the fruit shell end is determined by calculating the adsorption rate of the fruit shell in the first rotary filter unit to the concentration of each harmful gas in the first gas concentration data set, and performing cumulative summation.

[0011] Furthermore, the first analysis module determines the operating state of the first rotary filter unit, wherein: If the adsorption efficiency ratio is greater than the second standard adsorption efficiency ratio, determining that the operating state of the first rotary filter unit is rotated to a fixed angle, and the main filter end surface is the activated carbon end surface; If the adsorption efficiency ratio is less than the first standard adsorption efficiency ratio, determining that the operating state of the first rotary filter unit is rotated to a fixed angle, and the main filtering end surface is the fruit shell end surface; Otherwise, it is determined that the first rotary filter unit rotates around the axis.

[0012] Furthermore, the first analysis module determines the weighted sum of the deviation rate of the comprehensive adsorption rate and the deviation rate of the adsorption efficiency ratio of the main filter end surface as the adsorption effect parameter, and determines the rotation fixed angle according to the comparison result of the adsorption effect parameter and the standard adsorption effect parameter, wherein, If the adsorption effect parameter is less than or equal to the first standard adsorption effect parameter, the first analysis module determines that the rotation fixed angle is 90 degrees; If the adsorption effect parameter is greater than the first standard adsorption effect parameter and the adsorption effect parameter is less than or equal to the second standard adsorption effect parameter, the first analysis module determines that the rotation fixed angle is 45 degrees; Otherwise, the first analysis module determines that the fixed rotation angle is 0 degrees.

[0013] Furthermore, the second analysis module determines the pre-filtration efficiency of each of the harmful gases based on the first gas concentration data set and the second gas concentration data set, and determines the filtering effect parameter according to the cumulative summation result of the product of the pre-filtration efficiency and the corresponding risk weight coefficient.

[0014] Furthermore, the second analysis module determines the operating state of the second rotary filter unit according to the comparison result of the filtering effect parameter and the standard filtering effect parameter, wherein: If the filtering effect parameter is less than the first standard filtering effect parameter, the second analyzing module determines that the second rotary filtering unit performs high-speed rotation; If the filtering effect parameter is greater than or equal to the first standard filtering effect parameter, and the filtering effect parameter is less than or equal to the second standard filtering effect parameter, the second analyzing module determines that the second rotary filtering unit performs medium-speed rotation; Otherwise, the second analyzing module determines that the second rotary filter unit performs intermittent rotation.

[0015] Furthermore, the historical storage module is used to store historical adjustment data of each risk weight coefficient; The action execution module determines the adsorption efficiency ratio change rate based on the adsorption efficiency ratio at the current moment and the adsorption efficiency ratio at the previous moment, determines the filtering effect parameter change rate based on the filtering effect parameter at the current moment and the filtering effect parameter at the previous moment, and determines the risk weight coefficient volatility based on each of the risk weight coefficients at the current moment and the corresponding historical adjustment data, determines the operating status matching degree based on the weighted sum of the adsorption efficiency ratio change rate, the filtering effect parameter change rate and the risk weight coefficient volatility, and determines whether to immediately switch or delay the operating status of the first rotary filter unit and the second rotary filter unit based on the operating status matching degree.

[0016] Furthermore, the action execution module determines whether to immediately switch or delay the operating states of the first rotary filter unit and the second rotary filter unit according to a comparison result of the operating state matching degree and the standard operating state matching degree, wherein: If the running state matching degree is less than the first running state matching degree, the action execution module determines to maintain the current state; If the running state matching degree is greater than or equal to the first running state matching degree, and the running state matching degree is less than the second running state matching degree, the action execution module determines to delay the execution of switching the running state; Otherwise, the action execution module determines to immediately switch the running state.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The first rotary filter unit has a circular cake-shaped structure, with one end made of activated carbon and the other end made of fruit shell, which allows it to rotate around an axis and has a diameter that matches the filter pipe. This design provides multiple filtering modes for the post-filtration unit. Combined with the cylindrical structure of the second rotary filter unit, with one portion of the inner wall made of activated carbon and the other portion made of fruit shell, it can roll in situ, achieving a synergistic effect of physical filtration and chemical adsorption, improving space utilization and extending the service life of the filter material. By driving the first rotary filter unit to rotate to a fixed angle or around an axis by the first motor, the speed of antibiotic waste gas filtration can be effectively adjusted, thereby improving the antibiotic waste gas filtration effect; The second rotary filter unit is driven by the first motor to rotate in situ, thereby further improving the synergistic effect of physical filtration and chemical adsorption, thereby further improving the filtration effect of antibiotic waste gas; The detection module obtains a first gas concentration data set in the first antibiotic waste gas at the pre-filtration inlet, and obtains a second gas concentration data set in the second antibiotic waste gas after passing through the first rotary filter unit, and stores the detection history data in the history storage module to provide an effective sample basis for analyzing the filtration effect of the antibiotic waste gas, thereby improving the accuracy of adjusting the operating parameters of the filtration system; The risk assessment module dynamically adjusts the risk weight coefficient of each harmful gas based on the first gas concentration data set and the corresponding historical data of risk weight coefficient adjustment in the historical storage module, and stores the adjustment record of the risk weight coefficient as the adjustment historical data in the historical storage module, thereby further improving the accuracy of adjusting the operating parameters of the filtration system; The first analysis module determines an adsorption efficiency ratio based on the first gas concentration dataset and the activated carbon adsorption capacity and the fruit shell adsorption capacity of the first rotary filter unit, thereby further improving the accuracy of adjusting the operating parameters of the filtration system. On this basis, the operating status of the first rotary filter unit is determined according to the adsorption efficiency ratio, thereby further improving the filtration effect of the antibiotic waste gas; A second analysis module determines a filtration effect parameter based on the first gas concentration data set, the second gas concentration data set, and the risk weight coefficient of each harmful gas, thereby further improving the accuracy of adjusting the operating parameters of the filtration system. On this basis, the operating state of the second rotary filter unit is determined according to the filtration effect parameter, thereby further improving the filtration effect of the antibiotic waste gas; The action execution module further improves the accuracy of adjusting the operating parameters of the filtration system according to the dynamic change trend of the adsorption efficiency ratio, the filtration effect parameter, and the risk weight coefficient. On this basis, it determines whether to immediately switch or delay the operating status of the first rotary filter unit and the second rotary filter unit, thereby further improving the filtration effect of the antibiotic waste gas; Furthermore, by refining the process of dynamically adjusting the risk weight coefficient of each harmful gas based on the first gas concentration data set and the corresponding detection history data, determining the adjustment amplitude, and determining whether to dynamically increase or decrease the risk weight coefficient by the adjustment amplitude based on the gas correlation coefficient and the gas overlap ratio, the accuracy of adjusting the operating parameters of the filtration system is further improved; Furthermore, by refining the judgment logic for dynamically increasing or decreasing the adjustment amplitude of the risk weight coefficient according to the gas correlation coefficient and the gas overlap ratio, the accuracy of adjusting the operating parameters of the filtration system is further improved; Furthermore, the adsorption efficiency ratio is determined by refining the first gas concentration data set and the activated carbon adsorption amount and the fruit shell adsorption amount of the first rotary filter unit, thereby further improving the accuracy of adjusting the operating parameters of the filtration system; Furthermore, by refining the determination of the operating state of the first rotary filter unit according to the adsorption efficiency ratio, the accuracy of switching between multiple filtering modes of the first rotary filter unit is improved, thereby further improving the filtering effect of antibiotic waste gas; Furthermore, by refining the logic of determining the fixed rotation angle according to the comprehensive adsorption rate of the main filter end surface and the adsorption efficiency ratio, the change of the fixed angle can control the filtration flow rate of the antibiotic waste gas. On this basis, when the main filter surface is activated carbon, the smaller the fixed angle, the better the filtration effect of harmful gases in the antibiotic waste gas. When the main filter surface is fruit shell, the smaller the fixed angle, the better the filtration effect of particulate dust in the antibiotic waste gas. Conversely, the larger the angle, the stronger the collaborative filtration effect of the main filter surface and the auxiliary filter surface. This makes it possible to customize exclusive filtration solutions for antibiotic waste gas with different ratios between particulate dust and harmful gas concentrations, further improving the filtration effect of antibiotic waste gas. Furthermore, by refining the process of determining the filtration effect parameters based on the first gas concentration data set, the second gas concentration data set, and the risk weight coefficients of each harmful gas, the accuracy of adjusting the operating parameters of the filtration system is further improved, thereby further improving the filtration effect of antibiotic waste gas; Furthermore, by refining the logic for determining the operating state of the second rotary filter unit according to the filtering effect parameter, the synergistic effect of physical filtration and chemical adsorption of the second rotary filter unit is improved, thereby further improving the filtering effect of antibiotic waste gas; Furthermore, by refining the process of determining whether to immediately switch or delay the operating status of the first rotary filter unit and the second rotary filter unit, the control accuracy of immediately switching or delaying the operating status of the first rotary filter unit and the second rotary filter unit is further improved, thereby further improving the accuracy of adjusting the operating parameters of the filtration system, thereby further improving the filtration effect of antibiotic waste gas. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is an isometric structural diagram of a filtration system based on activated carbon adsorption according to an embodiment of the present invention; Figure 2 This is a left-side structural schematic diagram of a filtration system based on activated carbon adsorption according to an embodiment of the present invention; Figure 3 for Figure 2 Cross-sectional view at point A; Figure 4 This is a system structure block diagram of a filtration system based on activated carbon adsorption according to an embodiment of the present invention; In the figure: 1-pre-filter part, 11-pre-filter inlet, 2-post-filter part, 21-first rotary filter unit; 22 - second rotary filter unit, 23 - discharge port, 3 - rotary shaft, 41 - first roller, 42 - second roller. DETAILED DESCRIPTION

[0019] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below with reference to embodiments. It should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0020] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0021] See also Figure 1-Figure 4 As shown, Figure 1 This is an isometric structural diagram of a filtration system based on activated carbon adsorption according to an embodiment of the present invention. Figure 2 This is a left-side structural schematic diagram of a filtration system based on activated carbon adsorption according to an embodiment of the present invention. Figure 3 for Figure 2 The cross-sectional view at A in the middle, Figure 4 This is a system structure block diagram of a filtration system based on activated carbon adsorption according to an embodiment of the present invention.

[0022] The filtration system based on activated carbon adsorption in the embodiment of the present invention includes: The pre-filter part 1 is used to filter out tiny particles and impurities in the antibiotic waste gas; the post-filter part 2 is arranged at the rear end of the pre-filter part 1 to absorb harmful gases and odors in the antibiotic waste gas, and includes a first rotary filter unit 21 and a second rotary filter unit 22; The first rotary filter unit 21 is a circular cake-shaped structure with a diameter matching the filter pipe, with activated carbon on one side and fruit shell on the other side, and can rotate around the axis; The second rotary filter unit 22 is a cylindrical structure, the inner wall of which is partly made of activated carbon and the other part of the fruit shell, and can be rolled in situ; A first motor is used to drive the first rotary filter unit 21 to rotate to a fixed angle or rotate around an axis; A second motor is used to drive the second rotary filter unit 22 to roll in situ; A detection module, configured to obtain a first gas concentration dataset of the first antibiotic waste gas from the pre-filter inlet 11 through a first detection unit, and to obtain a second gas concentration dataset of the second antibiotic waste gas after passing through the first rotary filter unit 21 through a second detection unit; a first analysis module connected to the risk assessment module, configured to determine an adsorption efficiency ratio based on the first gas concentration dataset and the activated carbon adsorption amount and the fruit shell adsorption amount of the first rotary filter unit 21 to determine an operating state of the first rotary filter unit 21; a second analysis module, connected to the first analysis module and the risk assessment module, respectively, for determining a filtration effect parameter based on the first gas concentration data set, the second gas concentration data set, and the risk weight coefficient of each harmful gas, and determining an operating state of the second rotary filter unit 22 according to the filtration effect parameter; The action execution module is respectively connected to the first analysis module, the second analysis module, the first motor and the second motor, and is used to determine whether to immediately switch or delay the operating status of the first rotary filter unit 21 and the second rotary filter unit 22 according to the dynamic change trend of the adsorption efficiency ratio, the filtration effect parameter and the risk weight coefficient.

[0023] Specifically, the first motor drives the rotating shaft 3 to rotate, and the rotating shaft 3 drives the first rotating filter unit 21 to rotate to a fixed angle, or rotate around the axis; The second motor drives the rollers to rotate, thereby driving the second rotary filter unit 22 to roll in situ. The rollers include a first roller 41 and a second roller 42 .

[0024] Specifically, the filtered antibiotic waste gas is discharged through the exhaust port 23 .

[0025] Specifically, the fruit shell is preferably a coconut shell.

[0026] Specifically, the pre-filter 1 filters out tiny particles and oil mist impurities with a particle size of 0.5-10 μm in the antibiotic waste gas; The pre-filter part includes a metal sintered layer formed by sintering 316L stainless steel fibers with a porosity of 40%-60%, and is used to intercept particles ≥10 μm; The organic fiber layer is PTFE-coated glass fiber with a thickness of 1.5±0.2mm, used to intercept 0.5-10μm particles; The post-filter part 2 is used to absorb harmful gases in the antibiotic waste gas, including acetone, dichloromethane, n-hexane, ammonia and hydrogen sulfide.

[0027] The activated carbon adsorption-based filtration system according to the embodiment of the present invention further includes a history storage module for storing the first gas concentration data set and the second gas concentration data set as detection history data; The risk assessment module is used to obtain a first sequence of harmful gases in the first gas concentration data set arranged by weight coefficients and a second sequence of harmful gases in the first gas concentration data set arranged by concentration values, and determine the concentration deviation rate of each harmful gas concentration in the first gas concentration data set relative to the average concentration of the detection historical data, so as to determine the adjustment amplitude of the risk weight coefficient according to the risk weight coefficient and the concentration deviation rate, wherein: The first sequence is determined by arranging the risk weight coefficients corresponding to the harmful gases in the first gas concentration dataset in descending order; The second sequence is determined by arranging the concentration values ​​of each harmful gas in the first gas concentration data set in descending order; The concentration deviation rate is determined based on the harmful gas concentration relative to the average concentration of the detection history data.

[0028] Specifically, the risk assessment module is used to calculate the rank difference of the risk weight coefficient in the first sequence and the second sequence, determine the gas correlation coefficient of the harmful gas based on the rank difference of the risk weight coefficient, and determine the gas overlap ratio of the first K harmful gases based on the first sequence and the second sequence, and determine whether to increase or decrease the risk weight coefficient according to the adjustment amplitude according to the gas correlation coefficient and the gas overlap ratio, wherein, If the gas correlation coefficient is greater than or equal to the standard gas correlation coefficient, and the gas overlap ratio is greater than or equal to the standard gas overlap ratio, then the risk weight coefficient is dynamically adjusted to increase the adjustment amplitude; Otherwise, the risk weight coefficient is determined to be dynamically adjusted to reduce the adjustment amplitude; Set K to the maximum position of the harmful gas in the first sequence and the second sequence.

[0029] Specifically, the formula for calculating the rank difference of the risk weight coefficient is: ; in, is the ranking of the i-th harmful gas concentration in the first sequence; is the ranking of the i-th harmful gas concentration in the second sequence; is the rank difference of the i-th risk weight coefficient.

[0030] The calculation formula of concentration deviation rate is: ; in, is the real-time value of the concentration of the i-th harmful gas, is the mean value of the historical detection data corresponding to the concentration of harmful gases, is the concentration deviation rate of the i-th harmful gas.

[0031] The calculation formula for the adjustment amplitude is: ; in, is the i-th adjustment amplitude, is the influence coefficient of the rank difference of risk weight coefficient on the adjustment amplitude, is the influence coefficient of concentration deviation rate on adjustment amplitude, , .

[0032] It is understandable that This variable reflects the degree of deviation between the gas hazard ranking and the concentration ranking. It is a discrete variable. Its impact on the weight must be controlled to avoid drastic changes in weight due to ranking fluctuations. Therefore, when ΔRi = 1, the maximum amplitude is only 0.05.

[0033] It reflects the sudden change of the actual concentration of pollutants and is a continuous variable. A higher coefficient is needed to strengthen the response to abnormal concentration fluctuations. The amplitude reaches 0.1.

[0034] The calculation formula of gas correlation coefficient is: ; Where n is the number of gas types, is the gas correlation coefficient of the i-th harmful gas.

[0035] The calculation formula for the overlap ratio is: ; Where K is the highest rank of the hazardous gas in the first and second sequences. It should be noted that the initial value of the risk weight coefficient for each hazardous gas is set by those skilled in the art based on actual usage scenarios, and dynamic adjustment of the risk weight coefficient is to adjust the initial value of the risk weight coefficient.

[0036] It is understandable that The number of harmful gases with the same rank in the first sequence and the second sequence is the same.

[0037] Specifically, by comparing the consistency of risk weight coefficients and concentration rankings in real time, the system can quickly identify gases that need to adjust their risk weight coefficients and adjust their risk weight coefficients to avoid misjudgments caused by fixed weights; the gas overlap ratio The introduction of , ensures that the system prioritizes core gases with high concentrations and matching risk weights. For example, if a gas concentration suddenly increases and enters the top K position, even if its original risk weight is low, if the overlap ratio meets the standard, the system will adjust the risk weight to avoid missing emerging risks.

[0038] Specifically, the risk assessment module determines the adjustment amplitude of the risk weight coefficient dynamically increasing or decreasing according to the gas correlation coefficient and the gas overlap ratio. If the gas correlation coefficient is greater than or equal to the standard gas correlation coefficient, and the gas overlap ratio is greater than or equal to the standard gas overlap ratio, then the risk weight coefficient is dynamically adjusted to increase the adjustment amplitude; Otherwise, the risk weight coefficient is determined to be dynamically adjusted to reduce the adjustment amplitude; The risk weight coefficient is recorded as The adjusted risk weight coefficient is recorded as , the adjustment amplitude is recorded as , when determining the dynamic adjustment of risk weight coefficient to increase the adjustment amplitude , determine the risk weight coefficient dynamic adjustment to reduce the adjustment amplitude .

[0039] Specifically, the results of dynamic adjustment of the risk weight coefficients must be normalized to ensure that the sum of the risk weight coefficients is 1.

[0040] Specifically, the process of determining the adsorption efficiency ratio based on the first gas concentration dataset and the activated carbon adsorption amount and the fruit shell adsorption amount of the first rotary filter unit 21 by the first analysis module includes: Calculate the adsorption rate of the activated carbon in the first rotary filter unit 21 for each harmful gas concentration in the first gas concentration data set, perform cumulative summation, and obtain the comprehensive adsorption rate of the activated carbon end in the first rotary filter unit 21; Calculate the adsorption rate of the fruit shell in the first rotary filter unit 21 on the concentration of each harmful gas in the first gas concentration data set, perform cumulative summation, and obtain the comprehensive adsorption rate of the fruit shell end in the first rotary filter unit 21; The ratio of the comprehensive adsorption rate of the activated carbon end to the comprehensive adsorption rate of the shell end is determined as the adsorption efficiency ratio.

[0041] Specifically, the adsorption efficiency ratio is calculated as: ; in, is the adsorption rate of activated carbon for the i-th harmful gas; is the adsorption rate of the shell to the i-th harmful gas; is the risk weight coefficient of the i-th harmful gas.

[0042] Specifically, the first analysis module determines the operating state of the first rotary filter unit 21 according to the adsorption efficiency ratio, wherein: If the adsorption efficiency ratio is greater than the second standard adsorption efficiency ratio, it is determined that the operating state of the first rotary filter unit 21 is rotated to a fixed angle, and the main filter end surface is the activated carbon end surface; If the adsorption efficiency ratio is less than the first standard adsorption efficiency ratio, it is determined that the operating state of the first rotary filter unit 21 is rotated to a fixed angle, and the main filtering end surface is the shell end surface; Otherwise, it is determined that the first rotary filter unit 21 rotates around the axis.

[0043] Specifically, the first standard adsorption rate ratio is 1.2, and the second standard adsorption rate ratio is 2.0.

[0044] Specifically, the first data analysis unit determines a rotation fixed angle, wherein, The weighted sum of the deviation rate of the comprehensive adsorption rate and the deviation rate of the adsorption efficiency ratio of the main filter end surface is determined as the adsorption effect parameter; If the adsorption effect parameter is less than or equal to the first standard adsorption effect parameter, the first analysis module determines that the rotation fixed angle is 90 degrees; If the adsorption effect parameter is greater than the first standard adsorption effect parameter and the adsorption effect parameter is less than or equal to the second standard adsorption effect parameter, the first analysis module determines that the rotation fixed angle is 45 degrees; Otherwise, the first analysis module determines that the rotation fixed angle is 0 degrees.

[0045] In the embodiment of the present invention, the default fixed angle is 0 degrees. At this time, the first rotary filter unit is arranged parallel to the pre-filter unit. The fixed angle of 45 degrees or the fixed angle of 90 degrees is to use the default fixed angle as an angle reference and adjust it clockwise to the fixed angle position. For example, if the current fixed angle of the first rotary filter unit is 45 degrees, when the rotation fixed angle is determined to be 90 degrees, it is actually rotated 90 degrees clockwise relative to the position of 0 degrees. In order to save power consumption, it can be rotated 45 degrees clockwise on the basis of 45 degrees to achieve the same purpose. On the contrary, if the current first rotation filter unit is 90 degrees, when the fixed rotation angle is determined to be 45 degrees, it is actually rotated 45 degrees clockwise relative to the 9-degree position. Similarly, it can be rotated 45 degrees counterclockwise based on 90 degrees.

[0046] Specifically, the first standard adsorption effect parameter is 0.3, and the second standard adsorption effect parameter is 0.6.

[0047] Specifically, the calculation formula of the adsorption effect parameter is: ; in, , is the adsorption rate deviation rate; , is the adsorption efficiency deviation rate; is the influence coefficient of adsorption rate deviation rate on adsorption effect parameters;

[0048] Specifically, the second analysis module determines the filtering effect parameters based on the first gas concentration dataset, the second gas concentration dataset, and the risk weight coefficients of each harmful gas, including: for determining the pre-filtration efficiency of each harmful gas according to the first gas concentration data set and the second gas concentration data set; It is used to determine the filtering effect parameters based on the cumulative sum of the products of the pre-filtration efficiency of each harmful gas and the corresponding risk weight coefficient.

[0049] Specifically, the calculation formula of the filtering effect parameter is: ; in, is the filtering effect parameter, is the pre-filtration efficiency of the i-th harmful gas.

[0050] Specifically, the second analysis module determines the operating state of the second rotary filter unit 22 according to the filtering effect parameter, wherein: If the filtering effect parameter is less than the first standard filtering effect parameter, the second analysis module determines that the second rotary filter unit 22 performs high-speed rotation; If the filtering effect parameter is greater than or equal to the first standard filtering effect parameter, and the filtering effect parameter is less than or equal to the second standard filtering effect parameter, the second analysis module determines that the second rotary filter unit 22 performs medium-speed rotation; Otherwise, the second analyzing module determines that the second rotary filter unit 22 performs intermittent rotation.

[0051] Specifically, the first standard filtering effect parameter is 0.5, and the second standard filtering effect parameter is 0.8.

[0052] In the embodiment of the present invention, when performing intermittent rotation, the second rotary filter unit 22 rotates at a low speed for 5 to 10 minutes, stops for 20 to 30 minutes, and then rotates again. The low speed is 500 RPM, the medium speed is 750 RPM, and the high speed is 1000 RPM.

[0053] Specifically, the process of the action execution module determining whether to immediately switch or delay switching the operating states of the first rotary filter unit 21 and the second rotary filter unit 22 includes: Determine the adsorption efficiency ratio change rate based on the adsorption efficiency ratio at the current moment and the adsorption efficiency ratio at the previous moment; To determine the filter effect parameter change rate based on the filter effect parameter at the current moment and the filter effect parameter at the previous moment; Used to determine the risk weight coefficient volatility based on the risk weight coefficient of each harmful gas at the current moment and the corresponding adjustment historical data; To determine the operating status matching degree based on the weighted sum of the adsorption efficiency ratio change rate, the filtration effect parameter change rate and the risk weight coefficient volatility; It is used to determine whether to immediately switch or delay the operating states of the first rotary filter unit 21 and the second rotary filter unit 22 according to the matching degree of the operating states.

[0054] Specifically, the historical adjustment data of each risk weight coefficient is stored through the historical storage module.

[0055] Specifically, the calculation formula for the running status matching degree is: ; in , , ; is the adsorption rate change rate, ; is the filter effect parameter change rate, ; is the risk weight volatility, ; The adjusted historical average of the risk weight coefficient.

[0056] Specifically, the action execution module determines whether to immediately switch or delay the operating state of the first rotary filter unit 21 and the second rotary filter unit 22 according to the operating state matching degree, wherein if the operating state matching degree is less than the first operating state matching degree, the action execution module determines to maintain the current state; If the running state matching degree is greater than or equal to the first running state matching degree, and the running state matching degree is less than the second running state matching degree, the action execution module determines to execute the delayed switching running state; Otherwise, the action execution module determines to execute and immediately switches to the running state.

[0057] Specifically, the first operating state matching degree is 1.0, and the second operating state matching degree is 0.5.

[0058] In an embodiment of the present invention, delaying the switching of the running state is a means to prevent misjudgment. When the action execution module determines to execute delayed switching, it postpones the waiting process. When the action execution module determines to execute delayed switching again, it immediately switches the running state to achieve the purpose of delayed switching.

[0059] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0060] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A filtration system based on activated carbon adsorption, characterized in that: include: A pre-filter section, which is used to filter out tiny particles and impurities in antibiotic waste gas; A post-filter unit, which is arranged at the rear end of the pre-filter unit and is used to absorb harmful gases and odors in the antibiotic waste gas, and includes a first rotary filter unit and a second rotary filter unit; The first rotary filter unit has activated carbon on one side and fruit shell on the other side, and is capable of rotating around an axis; The second rotary filter unit includes an activated carbon portion and a fruit shell portion, and is capable of rolling in situ; a detection module configured to obtain, through a first detection unit, a first gas concentration dataset of the first antibiotic waste gas at the inlet of the pre-filter portion, and to obtain, through a second detection unit, a second gas concentration dataset of the second antibiotic waste gas after passing through the first rotary filter unit; a first analysis module configured to determine an adsorption efficiency ratio based on the first gas concentration dataset and the activated carbon adsorption amount and the fruit shell adsorption amount of the first rotary filter unit to determine an operating state of the first rotary filter unit; a second analysis module connected to the first analysis module, configured to determine a filtration effect parameter based on the first gas concentration dataset, the second gas concentration dataset, and a risk weight coefficient of each harmful gas, so as to determine an operating state of the second rotary filter unit; An action execution module is connected to the first analysis module and the second analysis module respectively, and is used to determine whether to immediately switch or delay the operating status of the first rotary filter unit and the second rotary filter unit according to the dynamic change trend of the adsorption efficiency ratio, the filtration effect parameter and the risk weight coefficient.

2. The activated carbon adsorption filtration system according to claim 1, characterized in that: Also includes: a history storage module, configured to store the first gas concentration data set and the second gas concentration data set as detection history data; a risk assessment module configured to obtain a first sequence of harmful gases in the first gas concentration dataset arranged by weight coefficients and a second sequence of harmful gases in the first gas concentration dataset arranged by concentration values, and determine a concentration deviation rate of each harmful gas concentration in the first gas concentration dataset relative to an average concentration of historical detection data, so as to determine an adjustment amplitude of the risk weight coefficient based on the risk weight coefficient and the concentration deviation rate, wherein; The first sequence is determined by arranging the risk weight coefficients corresponding to the harmful gases in the first gas concentration dataset in descending order; The second sequence is determined by arranging the concentration values ​​of each harmful gas in the first gas concentration data set in descending order; The concentration deviation rate is determined based on the concentration of the harmful gas relative to the average concentration of the historical detection data.

3. The activated carbon adsorption-based filtration system according to claim 2, characterized in that: The risk assessment module calculates a rank difference between the risk weight coefficients in the first sequence and the second sequence, determines a gas correlation coefficient of the hazardous gas based on the rank difference between the risk weight coefficients, and determines a gas overlap ratio of the first K hazardous gases based on the first sequence and the second sequence, and determines whether to adjust the risk weight coefficient according to the adjustment amplitude based on the gas correlation coefficient and the gas overlap ratio, wherein; If the gas correlation coefficient is greater than or equal to the standard gas correlation coefficient, and the gas overlap ratio is greater than or equal to the standard gas overlap ratio, then determining to dynamically adjust the risk weight coefficient to increase the adjustment amplitude; Otherwise, determining the risk weight coefficient to be dynamically adjusted to reduce the adjustment amplitude; Set K to the maximum order of occurrence of the harmful gas in the first sequence and the second sequence.

4. The activated carbon adsorption-based filtration system according to claim 3, characterized in that: The first analysis module obtains the comprehensive adsorption rate of the activated carbon end and the comprehensive adsorption rate of the fruit shell end in the first rotary filtration unit, and determines the adsorption efficiency ratio based on the ratio of the comprehensive adsorption rate of the activated carbon end to the comprehensive adsorption rate of the fruit shell end, wherein; The activated carbon end comprehensive adsorption rate is determined by calculating the adsorption rate of the activated carbon in the first rotary filter unit for each harmful gas concentration in the first gas concentration data set, and accumulating and summing the calculated adsorption rate; The comprehensive adsorption rate at the fruit shell end is determined by calculating the adsorption rate of the fruit shell in the first rotary filter unit to the concentration of each harmful gas in the first gas concentration data set, and performing cumulative summation.

5. The activated carbon adsorption-based filtration system according to claim 4, characterized in that: The first analysis module determines the operating status of the first rotary filter unit, wherein; If the adsorption efficiency ratio is greater than the second standard adsorption efficiency ratio, determining that the operating state of the first rotary filter unit is rotated to a fixed angle, and the main filter end surface is the activated carbon end surface; If the adsorption efficiency ratio is less than the first standard adsorption efficiency ratio, determining that the operating state of the first rotary filter unit is rotated to a fixed angle, and the main filtering end surface is the fruit shell end surface; Otherwise, it is determined that the first rotary filter unit rotates around the axis.

6. The activated carbon adsorption-based filtration system according to claim 5, characterized in that: The first analysis module determines the weighted sum of the deviation rate of the comprehensive adsorption rate and the deviation rate of the adsorption efficiency ratio of the main filter end surface as the adsorption effect parameter, and determines the rotation fixed angle according to the comparison result of the adsorption effect parameter and the standard adsorption effect parameter, wherein; If the adsorption effect parameter is less than or equal to the first standard adsorption effect parameter, the first analysis module determines that the rotation fixed angle is 90 degrees; If the adsorption effect parameter is greater than the first standard adsorption effect parameter and the adsorption effect parameter is less than or equal to the second standard adsorption effect parameter, the first analysis module determines that the rotation fixed angle is 45 degrees; Otherwise, the first analysis module determines that the fixed rotation angle is 0 degrees.

7. The activated carbon adsorption-based filtration system according to claim 2, characterized in that: The second analysis module determines the pre-filtration efficiency of each of the harmful gases based on the first gas concentration data set and the second gas concentration data set, and determines the filtering effect parameter according to the cumulative sum of the pre-filtration efficiency and the corresponding risk weight coefficient.

8. The activated carbon adsorption-based filtration system according to claim 7, characterized in that: The second analysis module determines the operating state of the second rotary filter unit according to the comparison result of the filtering effect parameter and the standard filtering effect parameter, wherein; If the filtering effect parameter is less than the first standard filtering effect parameter, the second analyzing module determines that the second rotary filtering unit performs high-speed rotation; If the filtering effect parameter is greater than or equal to the first standard filtering effect parameter, and the filtering effect parameter is less than or equal to the second standard filtering effect parameter, the second analyzing module determines that the second rotary filtering unit performs medium-speed rotation; Otherwise, the second analyzing module determines that the second rotary filter unit performs intermittent rotation.

9. The activated carbon adsorption-based filtration system according to claim 8, characterized in that: The historical storage module is used to store the historical adjustment data of each risk weight coefficient; The action execution module determines the adsorption efficiency ratio change rate based on the adsorption efficiency ratio at the current moment and the adsorption efficiency ratio at the previous moment, determines the filtering effect parameter change rate based on the filtering effect parameter at the current moment and the filtering effect parameter at the previous moment, and determines the risk weight coefficient volatility based on each of the risk weight coefficients at the current moment and the corresponding historical adjustment data, determines the operating status matching degree based on the weighted sum of the adsorption efficiency ratio change rate, the filtering effect parameter change rate and the risk weight coefficient volatility, and determines whether to immediately switch or delay the operating status of the first rotary filter unit and the second rotary filter unit based on the operating status matching degree.

10. The activated carbon adsorption-based filtration system according to claim 9, characterized in that: The action execution module determines whether to immediately switch or delay the operating states of the first rotary filter unit and the second rotary filter unit according to a comparison result of the operating state matching degree and the standard operating state matching degree, wherein; If the running state matching degree is less than the first running state matching degree, the action execution module determines to maintain the current state; If the running state matching degree is greater than or equal to the first running state matching degree, and the running state matching degree is less than the second running state matching degree, the action execution module determines to delay the execution of switching the running state; Otherwise, the action execution module determines to immediately switch the running state.

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