A method and system for industrial exhaust emission management based on biological deodorization

Abstract

The application provides an industrial waste gas emission management method and system based on biological deodorization. The emission gas obtained by biodegradation of industrial waste gas is introduced into a six-stage screen hole impingement sampler to capture aerosol samples of multiple particle sizes step by step. Microbial culture and colony counting are carried out based on the aerosol samples to obtain the aerosol concentration of microorganisms in each particle size interval, and then the particle size fraction of small particle size microorganisms in the emission gas is determined. High-throughput sequencing of the microbial ribosome gene of the emission gas is carried out, and then the relative abundance of various conditional pathogenic bacteria in the emission gas is analyzed. When the particle size fraction exceeds the preset fraction threshold and the relative abundance of a conditional pathogenic bacteria exceeds the preset abundance threshold, the intake flow of the filler layer industrial waste gas is automatically adjusted. Based on the above scheme, small particle size microbial aerosols and conditional pathogenic bacteria can be monitored simultaneously in the process of biological deodorization of industrial waste gas to reduce the emission health risk.

Description

Technical Field

[0001] This application relates to the field of waste gas treatment technology, and more specifically, to an industrial waste gas emission management method and system based on biological deodorization. Background Technology

[0002] In industrial waste gas treatment, biological filtration deodorization systems are often used to degrade odorous pollutants such as ammonia, hydrogen sulfide, and volatile organic compounds using biofilms loaded on the surface of packing materials. However, during long-term operation of biological filtration deodorization systems, the biofilms on the surface of the packing materials may detach under the shearing action of airflow, forming microbial aerosols carrying bacteria, fungi, and opportunistic pathogens, which are then released into the atmosphere with the exhaust gas. Among these, small-diameter microbial aerosols with an aerodynamic diameter of less than 2.1 μm can penetrate deep into the alveolar region of the human lungs, posing a potential health risk to exposed populations.

[0003] Existing biological deodorization technologies primarily focus on the removal efficiency of odorous substances, passively removing microbial aerosols by adding downstream purification units such as wet scrubbing zones, ultraviolet photocatalytic reaction zones, or multiphase contact oxidation reaction zones. However, such solutions involve complex equipment, high energy consumption, and cannot dynamically control the emission based on the actual dispersion characteristics of microbial aerosols in the exhaust gas. Furthermore, existing technologies lack joint monitoring methods for the particle size distribution of microbial aerosols and the structure of conditionally pathogenic bacteria populations in exhaust gases, making it difficult to accurately identify the combined risks of increased proportion of small-particle aerosols and excessive abundance of pathogenic bacteria. Therefore, how to collaboratively monitor small-particle microbial aerosols and conditionally pathogenic bacteria during the biological deodorization process of industrial waste gas to reduce emission health risks has become a challenge for the industry. Summary of the Invention

[0004] This application provides a method and system for managing industrial waste gas emissions based on biological deodorization, which can achieve synergistic monitoring of small-particle-size microbial aerosols and conditionally pathogenic bacteria during the biological deodorization process of industrial waste gas to reduce the health risks of emissions.

[0005] In a first aspect, this application provides a method for managing industrial waste gas emissions based on biological deodorization, comprising the following steps: Industrial waste gas is biodegraded by a biofilm loaded on the surface of inorganic packing material in a biofilter, resulting in the exhaust gas from the biofilter. The emitted gas is introduced into a six-stage sieve impact sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, resulting in aerosol samples of multiple particle sizes. Microbial culture and colony counting were performed on the aerosol samples to obtain the aerosol concentration of microorganisms in each particle size range. Then, based on all the aerosol concentrations, the particle size fraction of small-diameter microorganisms in the emitted gas was determined. High-throughput sequencing of microbial ribosomal genes was performed on the emitted gas to determine the relative abundance of various opportunistic pathogens in the emitted gas. When the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of industrial waste gas in the packing layer is automatically adjusted.

[0006] In some embodiments, industrial waste gas is biodegraded by a biofilm loaded on the surface of inorganic packing material in a biofilter, resulting in the following specific exhaust gases from the biofilter: Inorganic packing materials with preset porosity and surface roughness are filled into the biological filter. The biofilm loaded on the surface of inorganic packing material in a biofilter is used to biodegrade pollutants in industrial waste gas, resulting in the exhaust gas from the biofilter.

[0007] In some embodiments, the emitted gas is introduced into a six-stage sieve impactor sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, obtaining aerosol samples of multiple particle sizes, specifically including: The exhaust gas is introduced into a six-stage sieve impact sampler at a constant sampling flow rate; Microbial aerosols of different aerodynamic particle sizes are captured by the various impact disks in a six-stage sieve impact sampler. Aerosol samples with multiple particle sizes were determined based on all microbial aerosols.

[0008] In some embodiments, the aerosol concentration of microorganisms in each particle size range is obtained by performing microbial culture and colony counting based on the aerosol sample, specifically including: The aerosol samples were subjected to graded isothermal incubation using a culture medium to obtain the number of microbial colonies corresponding to each grade of aerosol. The aerosol concentration of microorganisms in each particle size range was determined based on the total number of microbial colonies.

[0009] In some embodiments, determining the particle size fraction of small-diameter microorganisms in the emitted gas based on all aerosol concentrations specifically includes: The concentration of small-diameter microbial aerosols in the emitted gas is determined based on all aerosol concentrations. The total aerosol concentration of microorganisms in the emitted gas is determined based on all aerosol concentrations. The particle size fraction of small-diameter microorganisms in the emitted gas is determined based on the concentration of small-diameter aerosols and the total aerosol concentration.

[0010] In some embodiments, high-throughput sequencing of microbial ribosomal genes is performed on the emitted gas to determine the relative abundance of various opportunistic pathogens in the emitted gas. Specifically, this includes: The emitted gas is filtered and retained by a membrane sampler, and then the total deoxyribonucleic acid of microorganisms is extracted and amplified by polymerase chain reaction to obtain the amplified product. The amplified products were subjected to high-throughput sequencing to obtain the gene sequence information of 16S rRNA of microbial communities in the emitted gas; Bioinformatics analysis was performed based on the gene sequence information to obtain the relative abundance of various opportunistic pathogens in the emitted gas.

[0011] In some embodiments, when the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, automatically adjusting the inlet flow rate of the industrial waste gas in the packing layer specifically includes: The particle size fraction is compared with a preset fraction threshold to obtain a particle size fraction exceeding the standard judgment mark; If the above-mentioned exceedance judgment flag is true, then the relative abundance of each conditionally pathogenic bacterium is compared with the preset abundance threshold. When the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of industrial waste gas in the packing layer is automatically adjusted.

[0012] Secondly, this application provides an industrial waste gas emission management system based on biological deodorization, used to implement an industrial waste gas emission management method based on biological deodorization, including: The biological deodorization module is used to biodegrade industrial waste gas through a biofilm loaded on the surface of inorganic packing material in a biological filter, thereby obtaining the exhaust gas from the biological filter. The gas analysis module is used to introduce the emitted gas into a six-stage sieve impact sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, and obtain aerosol samples of multiple particle sizes. The gas analysis module is also used to perform microbial culture and colony counting based on the aerosol sample to obtain the aerosol concentration of microorganisms in each particle size range, and then determine the particle size fraction of small-diameter microorganisms in the emitted gas based on all aerosol concentrations. The gas analysis module is also used to perform high-throughput sequencing of microbial ribosomal genes on the emitted gas, thereby analyzing the relative abundance of various conditionally pathogenic bacteria in the emitted gas. The emission control module is used to automatically adjust the inlet flow rate of industrial waste gas in the packing layer when the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold.

[0013] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, the processor being configured to acquire the code and execute the above-described industrial waste gas emission management method based on biological deodorization.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described industrial waste gas emission management method based on biological deodorization.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: This application provides a method and system for managing industrial waste gas emissions based on biological deodorization. The method involves biodegrading industrial waste gas using a biofilm loaded on the surface of inorganic packing material in a biofilter, resulting in waste gas from the biofilter. This waste gas is then introduced into a six-stage sieve impactor sampler to capture microbial aerosols of different aerodynamic particle sizes, yielding aerosol samples of multiple particle sizes. Microbial culture and colony counting are performed on these aerosol samples to obtain the aerosol concentration of microorganisms in each particle size range. Based on all aerosol concentrations, the particle size fraction of small-diameter microorganisms in the waste gas is determined. High-throughput sequencing of microbial ribosomal genes is performed on the waste gas to analyze the relative abundance of various conditionally pathogenic bacteria. When the particle size fraction exceeds a preset threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of the industrial waste gas in the packing layer is automatically adjusted.

[0016] Therefore, in this application, when the particle size fraction exceeds a preset threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of industrial waste gas in the packing layer is automatically adjusted. First, determining the aerosol sample yields a collection of microbial aerosols captured and deposited on agar medium according to aerodynamic particle size classification, thus providing a clear particle size classification and sample independence for subsequent microbial culture counting and high-throughput sequencing. This achieves, for the first time, a joint quantitative characterization of the proportion of small-particle-size microbial aerosols and the relative abundance of conditionally pathogenic bacteria in the emission gas. Then, determining the particle size fraction of small-particle-size microorganisms yields the ratio of small-particle-size aerosol concentration to total aerosol concentration in the emission gas. This quantifies the relative degree to which the biofilm of the biofilter packing material breaks down and detaches under airflow shearing, generating inhalable small-particle-size microbial aerosols. This compensates for the shortcomings of existing biological deodorization technologies that only focus on the removal efficiency of odorous substances while ignoring the particle size distribution characteristics of microbial aerosols. Simultaneously, the particle size fraction and the relative abundance of conditionally pathogenic bacteria form a dual threshold judgment mechanism, enabling the system to simultaneously identify... The increased proportion of small-diameter aerosols represents both the physical escape risk and the biological health risk represented by the excessive abundance of pathogenic bacteria. Finally, determining the relative abundance of conditionally pathogenic bacteria yields the percentage of a specified harmful bacterial genera sequence in the emitted gas relative to the total effective sequence count. This relative abundance of conditionally pathogenic bacteria, along with the particle size fraction of small-diameter microorganisms, forms a dual threshold judgment mechanism, enabling a comprehensive assessment of the health risk level of emitted aerosols from both physical particle size and biological pathogenicity dimensions. When the relative abundance of conditionally pathogenic bacteria exceeds a preset abundance threshold and the small-diameter fraction exceeds the standard, automatic adjustment and control of the intake airflow is triggered, effectively blocking the continuous escape of high-abundance conditionally pathogenic bacteria into the atmospheric environment in small-diameter form. This significantly reduces the potential health threat to exposed populations and avoids the control failure or over-control caused by relying solely on particle size fraction control while ignoring the actual pathogen load. This achieves accurate identification and targeted control of emission risks. In summary, based on the above scheme, it is possible to achieve synergistic monitoring of small-diameter microbial aerosols and conditionally pathogenic bacteria during the biological deodorization of industrial waste gas to reduce emission health risks. Attached Figure Description

[0017] Figure 1 This is an exemplary flowchart of an industrial waste gas emission management method based on biological deodorization, as shown in some embodiments of this application. Figure 2 This is an exemplary flowchart illustrating the determination of aerosol samples according to some embodiments of this application; Figure 3 This is an operation flowchart illustrating the adjustment of industrial waste gas inlet flow rate according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of an industrial waste gas emission management system based on biological deodorization, as shown in some embodiments of this application; Figure 5 This is a schematic diagram of the structure of a computer device for implementing an industrial waste gas emission management method based on biological deodorization, according to some embodiments of this application. Detailed Implementation

[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] refer to Figure 1 The figure is an exemplary flowchart of an industrial waste gas emission management method based on biological deodorization according to some embodiments of this application. The figure mainly includes the following steps: In step 101, the industrial waste gas is biodegraded by the biofilm loaded on the surface of the inorganic packing material in the biofilter to obtain the emission gas of the biofilter.

[0020] In some embodiments, the biodegradation of industrial waste gas by a biofilm loaded on the surface of inorganic packing material in a biofilter to obtain the exhaust gas from the biofilter can be achieved through the following steps: Inorganic packing materials with preset porosity and surface roughness are filled into the biological filter. The biofilm loaded on the surface of inorganic packing material in a biofilter is used to biodegrade pollutants in industrial waste gas, resulting in the exhaust gas from the biofilter.

[0021] It should be noted that, in this application, the emitted gas is the gas to be monitored after the pollutants in the industrial waste gas have been biodegraded by the biofilm loaded on the surface of the inorganic packing material in the biofilter.

[0022] In practice, firstly, inorganic packing material with a preset porosity and surface roughness is filled into a biological filter, allowing industrial waste gas containing NH3, H2S, and volatile organic compounds to flow through the packing layer with an empty bed residence time of 50 seconds. Then, the industrial waste gas enters the biological filter from the bottom of the reactor at an inlet flow rate of 48.98 L / min, passes upward through the packing layer, and contacts the biofilm. The biofilm loaded on the surface of the inorganic packing material in the biological filter biodegrades the pollutants in the industrial waste gas. The gas discharged from the upper outlet of the reactor is then used as the target for further treatment. The monitored emissions gas; wherein, the biofilm is formed by intermittently aerating inorganic packing material in aerobic activated sludge, with the intermittent aeration cycled 15 times at 2h aeration followed by 0.5h cessation; the inorganic packing material is perlite with a smooth surface and a preset porosity and water content, which is loosely packed into the biofilter reactor and compacted to a filling height of 0.5m; the dominant functional bacteria such as Bacillus and Pseudomonas in the packing material can adhere to the surface of the packing material through secreting extracellular polymers to form a stable biofilm.

[0023] In step 102, the emitted gas is introduced into a six-stage sieve impactor sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, thereby obtaining aerosol samples of multiple particle sizes.

[0024] In some embodiments, reference Figure 2 The figure is an exemplary flowchart illustrating the determination of aerosol samples according to some embodiments of this application. In this application, the emitted gas is introduced into a six-stage sieve impactor sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, obtaining aerosol samples of multiple particle sizes. This can be achieved by the following steps: In step 1021, the emitted gas is introduced into a six-stage sieve impact sampler at a constant sampling flow rate; In step 1022, microbial aerosols of different aerodynamic particle sizes are captured by the various impact disks in the six-stage sieve impact sampler. In step 1023, aerosol samples with multi-level particle sizes are determined based on all microbial aerosols.

[0025] It should be noted that in this application, the six-stage sieve impact sampler consists of six aluminum alloy impact disks arranged in a step-by-step manner from top to bottom. Each impact disk has 400 circular sieve holes arranged in a ring with progressively smaller apertures. Agar culture medium is placed directly below each impact disk to receive the captured microbial aerosols.

[0026] In practice, the exhaust gas is first divided into two parts. One half is introduced into a six-stage sieve impact sampler at a constant sampling flow rate of 28.3 L / min. Then, the exhaust gas enters the sampler through the inlet of the uppermost impact plate and flows sequentially through the sieves of the first to sixth stage impact plates. The sieve apertures on each stage of the impact plate gradually decrease in size; for example, the first stage sieve aperture is 1.18 mm, the second stage is 0.91 mm, the third stage is 0.71 mm, the fourth stage is 0.53 mm, and the fifth stage... The first stage has a diameter of 0.34 mm, and the sixth stage has a diameter of 0.25 mm. The cross-section of the airflow channel gradually narrows, and the airflow velocity gradually increases as the channel narrows. When the exhaust gas passes through the sieve holes of each impactor disc and impacts the surface of the agar medium directly below, the airflow direction is sharply deflected. The microbial aerosols suspended in the gas, due to their greater inertia than gas molecules, deviate from the airflow streamline and are impacted and deposited on the surface of the agar medium of the corresponding impactor disc, resulting in microbial aerosols with different aerodynamic particle sizes. Among them, the first-stage impactor disc... The first-stage impactor captures microbial aerosols with a particle size greater than 7 μm. The second-stage impactor captures microbial aerosols with a particle size between 4.7 μm and 7 μm. The third-stage impactor captures microbial aerosols with a particle size between 3.3 μm and 4.7 μm. The fourth-stage impactor captures microbial aerosols with a particle size between 2.1 μm and 3.3 μm. The fifth-stage impactor captures microbial aerosols with a particle size between 1.1 μm and 2.1 μm. The sixth-stage impactor captures microbial aerosols with a particle size between 0.65 μm and... Microbial aerosols between 1.1 μm and 1.1 μm in diameter were collected. Submicron-sized microbial aerosols that were not captured were discharged from the bottom of the sampler with the exhaust gas. Finally, the agar medium containing microbial aerosols deposited on the six impact plates was taken out and numbered sequentially as the first-level aerosol sample, the second-level aerosol sample, the third-level aerosol sample, the fourth-level aerosol sample, the fifth-level aerosol sample, and the sixth-level aerosol sample. The collection of these six aerosol samples with different particle sizes was then used as a multi-level aerosol sample.

[0027] It should be noted that, in this application, microbial aerosols refer to a collection of tiny particles carrying various microorganisms that escape from the outlet of the biofiltration tank; aerosol samples are collections of microbial aerosols captured and deposited on agar culture medium according to aerodynamic particle size classification.

[0028] In step 103, microbial culture and colony counting are performed on the aerosol samples to obtain the aerosol concentration of microorganisms in each particle size range, and then the particle size fraction of small-diameter microorganisms in the emitted gas is determined based on all aerosol concentrations.

[0029] In some embodiments, the aerosol concentration of microorganisms in each particle size range can be obtained by performing microbial culture and colony counting based on the aerosol sample using the following steps: The aerosol samples were subjected to graded isothermal incubation using a culture medium to obtain the number of microbial colonies corresponding to each grade of aerosol. The aerosol concentration of microorganisms in each particle size range was determined based on the total number of microbial colonies.

[0030] It should be noted that, in this application, the microbial colony count refers to the number of colonies formed by microbial aerosols after constant temperature incubation, which can be used to quantify the abundance of culturable microorganisms in different particle size ranges; the aerosol concentration refers to the number of microbial colony-forming units contained in a unit volume of emitted gas, which can be used to assess the level of microbial pollution in emitted gas.

[0031] In practice, firstly, for aerosol samples of each level, the aerosol samples are cultured separately in LB agar medium composed of tryptone, yeast extract, sodium chloride, and agar to cultivate bacteria, and in LB agar medium composed of peptone, glucose, potassium dihydrogen phosphate, magnesium sulfate, Bengal red, and chloramphenicol to cultivate fungi. The incubation temperature for bacterial culture is controlled at 37 degrees Celsius, and the incubation time is controlled at 48 hours. The incubation temperature for fungal culture is controlled at 28 degrees Celsius, and the incubation time is controlled at [missing information]. The sampling time is 120 hours. Then, a colony counter is used to count the colonies formed on each culture medium to obtain the effective bacterial and fungal colony counts corresponding to the aerosol samples. The set of the effective bacterial and fungal colony counts is taken as the microbial colony count corresponding to the aerosol. Through the above steps, the microbial colony counts corresponding to each level of aerosol can be obtained. Then, based on the effective colony count, standard sampling flow rate, and sampling time, the air microbial concentration can be calculated using the formula: C = (N × 1000) ÷ (Q × t), where C is the air microbial concentration in CFU / m³. 3 (where N is the effective colony count in CFU, Q is the sampling flow rate in L / min, and t is the sampling time in min) Calculate the bacterial and fungal aerosol concentrations within the corresponding particle size range for each aerosol sample level. Then, sum the bacterial and fungal aerosol concentrations for each aerosol sample level as the aerosol concentration for the corresponding particle size range, thus obtaining the aerosol concentration of microorganisms in each particle size range. The effective colony count is the number of distinct, independent colonies on each culture medium that exhibit characteristics of a single microbial growth source. The standard sampling flow rate is 28.3 L / min, and the sampling time is 2 min.

[0032] In some embodiments, determining the particle size fraction of small-diameter microorganisms in the emitted gas based on all aerosol concentrations can be achieved using the following steps: The concentration of small-diameter microbial aerosols in the emitted gas is determined based on all aerosol concentrations. The total aerosol concentration of microorganisms in the emitted gas is determined based on all aerosol concentrations. The particle size fraction of small-diameter microorganisms in the emitted gas is determined based on the concentration of small-diameter aerosols and the total aerosol concentration.

[0033] It should be noted that, in this application, the small-diameter aerosol concentration refers to the total amount of microbial aerosols with an aerodynamic diameter of less than 2.1 μm in the emitted gas, which can be used to characterize the emission level of small-diameter microbial particles that can easily penetrate the human respiratory tract and may cause health risks; the total aerosol concentration refers to the total amount of microbial aerosols in all particle size ranges in the emitted gas, which can be used to characterize the overall pollution level of all microbial aerosols in the emitted gas; and the particle size fraction is the ratio of the small-diameter aerosol concentration to the total aerosol concentration in the emitted gas, which can be used to quantify the relative degree to which the biofilm of the biofilter packing breaks down and detaches under the shearing action of airflow, generating inhalable microbial particles.

[0034] In practice, firstly, the aerosol concentrations of the fifth-level aerosol samples (with an aerodynamic diameter less than 2.1 μm) within the 1.1 μm to 2.1 μm particle size range and the sixth-level aerosol samples (with a particle size range of 0.65 μm to 1.1 μm particle size range) are summed and accumulated, and the sum is taken as the small-diameter aerosol concentration of microorganisms in the emission gas. Secondly, the aerosol concentrations of the first-level to sixth-level aerosol samples within the corresponding particle size range are summed and accumulated, and the sum is taken as the total aerosol concentration of microorganisms in the emission gas. Finally, the ratio of the small-diameter aerosol concentration to the total aerosol concentration is taken as the particle size fraction of small-diameter microorganisms in the emission gas.

[0035] In step 104, high-throughput sequencing of microbial ribosomal genes is performed on the emitted gas to obtain the relative abundance of various opportunistic pathogens in the emitted gas.

[0036] In some embodiments, high-throughput sequencing of microbial ribosomal genes in the emitted gas, and subsequent analysis to determine the relative abundance of various opportunistic pathogens in the emitted gas, can be achieved through the following steps: The emitted gas is filtered and retained by a membrane sampler, and then the total deoxyribonucleic acid of microorganisms is extracted and amplified by polymerase chain reaction to obtain the amplified product. The amplified products were subjected to high-throughput sequencing to obtain the gene sequence information of 16S rRNA of microbial communities in the emitted gas; Bioinformatics analysis was performed based on the gene sequence information to obtain the relative abundance of various opportunistic pathogens in the emitted gas.

[0037] It should be noted that in this application, the amplification product is a mixture of 16S rRNA gene fragments of microorganisms in the aerosol sample; the gene sequence information is the base sequence data of microorganisms in the aerosol sample; and the relative abundance refers to the percentage of the number of sequences of a specified harmful bacteria genus in the emitted gas relative to the total number of valid sequences.

[0038] In practice, firstly, the other half of the emitted gas can be connected to a filter membrane sampler. Microorganisms in the emitted gas are trapped through a 0.22μm microporous membrane. The microporous membrane is then enriched by negative pressure filtration. The enriched microbial membrane is then cut into pieces and placed in a centrifuge tube. Total deoxyribonucleic acid (DNA) of the microorganisms is extracted using a magnetic bead-based soil and fecal genomic DNA extraction kit, yielding purified total DNA. Using this DNA as a template, polymerase chain reaction (PCR) amplification is performed with a pair of universal 16S rRNA primers to obtain the amplified product. The fragment size is verified by agarose gel electrophoresis to confirm that the amplified fragment length meets expectations. Next, paired-end sequencing is performed on the amplified product. This involves first constructing a library from the amplified product, then loading the constructed library into a sequencing flow cell for cluster amplification, and finally sequencing at paired-end read lengths of 250 base pairs in a MiSeq sequencer to generate the 16S DNA of the microbial community in the emitted gas. The raw rRNA gene sequence data is used as the gene sequence information. Finally, the gene sequence information is quality controlled using an open-source bioinformatics analysis platform (such as QIIME2 analysis software), including removing low-quality sequences, pruning sequencing adapter sequences, eliminating chimeric sequences, and splitting the sequence assignment according to the sample barcode to obtain valid sequences. The valid sequences are then compared and annotated with the Silva ribosomal RNA gene database. Sequence similarity clustering is used to classify the sequences into different operational taxonomic units. Each operational taxonomic unit represents a hypothetical microbial genus-level group, and the number of sequences in each microbial genus-level group is counted. The number of sequences in each microbial genus-level group is divided by the total number of valid sequences to obtain the relative abundance of each microbial genus-level group. Then, the relative abundance of Acinetobacter and Pseudomonas, two opportunistic pathogens, is extracted from the relative abundance of all microbial genus-level groups as the relative abundance of various opportunistic pathogens.

[0039] It should be noted that in this application, the six-stage sieve impact sampling and the filter membrane sampling are parallel sampling, that is, the six-stage sieve impact sampling and the filter membrane sampling of the exhaust gas are performed simultaneously.

[0040] In step 105, when the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of the industrial waste gas in the packing layer is automatically adjusted.

[0041] In some embodiments, reference Figure 3 The figure is a flowchart illustrating the operation of adjusting the inlet flow rate of industrial waste gas according to some embodiments of this application. In this application, when the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the automatic adjustment of the inlet flow rate of industrial waste gas in the packing layer can be achieved by the following steps: The particle size fraction is compared with a preset fraction threshold to obtain a particle size fraction exceeding the standard judgment mark; If the above-mentioned exceedance judgment flag is true, then the relative abundance of each conditionally pathogenic bacterium is compared with the preset abundance threshold. When the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of industrial waste gas in the packing layer is automatically adjusted.

[0042] It should be noted that in this application, the preset score threshold is the risk assessment threshold for determining whether the proportion of small-diameter microbial aerosols in the emitted gas exceeds the standard, the exceedance judgment mark is the logical state identifier for determining whether the proportion of small-diameter microbial aerosols in the emitted gas exceeds the standard, and the preset abundance threshold is the risk assessment threshold for determining whether the relative abundance of conditionally pathogenic bacteria in the emitted gas exceeds the standard.

[0043] In specific implementation, firstly, the particle size fraction is compared with a preset fraction threshold (e.g., 30%) by the numerical comparison module. When the particle size fraction is greater than the preset fraction threshold, a Boolean output result is obtained, indicating that the particle size fraction exceeds the standard and the judgment flag is true; otherwise, it is false. Then, if the particle size fraction exceeds the standard and the judgment flag is true, the relative abundance of Acinetobacter and Pseudomonas is compared with a preset abundance threshold (e.g., 10%) by the numerical comparison module. When the relative abundance of at least one conditional pathogen exceeds the preset abundance threshold, a Boolean output result is obtained, indicating that the relative abundance of conditional pathogens exceeds the standard and the judgment flag is true. Finally, when both the particle size fraction exceeds the standard and the relative abundance of conditional pathogens exceeds the standard and the judgment flag is true, the programmable logic controller automatically adjusts the inlet flow rate of the industrial waste gas in the packing layer to 50% to 80% of the initial flow rate.

[0044] In another aspect, in some embodiments, this application provides an industrial waste gas emission management system based on biological deodorization, referencing... Figure 4 The figure is a schematic diagram of the structure of an industrial waste gas emission management system based on biological deodorization according to some embodiments of this application, including: a biological deodorization module 201, a gas analysis module 202, and an emission control module 203, which are described below: Biological deodorization module 201: In this application, biological deodorization module 201 is mainly used to biodegrade industrial waste gas through the biofilm loaded on the surface of inorganic packing in the biological filter, so as to obtain the emission gas of the biological filter. Gas analysis module 202, in this application, is used to introduce the emitted gas into a six-stage sieve impact sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, and obtain aerosol samples of multiple particle sizes. It should be noted that the gas analysis module 202 is also used to perform microbial culture and colony counting based on the aerosol sample to obtain the aerosol concentration of microorganisms in each particle size range, and then determine the particle size fraction of small-diameter microorganisms in the emitted gas based on all aerosol concentrations. In addition, it should be noted that the gas analysis module 202 is also used to perform high-throughput sequencing of microbial ribosomal genes on the emitted gas, thereby analyzing the relative abundance of various conditionally pathogenic bacteria in the emitted gas. The emission control module 203 in this application is mainly used to automatically adjust the inlet flow rate of industrial waste gas in the packing layer when the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold.

[0045] The foregoing has detailed examples of industrial waste gas emission management methods and systems based on biological deodorization provided in the embodiments of this application. It is understood that the corresponding apparatus, in order to achieve the above functions, includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specified application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specified application, but such implementation should not be considered beyond the scope of this application.

[0046] In some embodiments, this application also provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device performs the above-described industrial waste gas emission management method based on biological deodorization.

[0047] In some embodiments, reference Figure 5 The dashed lines in the figure indicate that the unit or module is optional. This figure is a structural schematic diagram of a computer device for implementing an industrial waste gas emission management method based on biological deodorization, according to an embodiment of this application. The industrial waste gas emission management method based on biological deodorization described in the above embodiments can... Figure 5The computer device shown is used to implement this, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device may be a terminal device, a server or a chip.

[0048] Processor 301 can be a general-purpose processor or a special-purpose processor. For example, processor 301 can be a central processing unit (CPU), which can be used to control computer devices, execute software programs, and process data from software programs. The computer device may also include a communication unit 305 for inputting (receiving) and outputting (transmitting) signals.

[0049] For example, the computer device may be a chip, and the communication unit 305 may be the input and / or output circuit of the chip, or the communication unit 305 may be the communication interface of the chip, which may be a component of a terminal device, network device or other device.

[0050] For example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0051] The computer device may include one or more memories 302 storing a program 304. The program 304 can be executed by a processor 301 to generate instructions 303, causing the processor 301 to execute the method described in the above method embodiments according to the instructions 303. Optionally, the memory 302 may also store data (such as a target audit model). Optionally, the processor 301 may also read data stored in the memory 302, which may be stored at the same storage address as the program 304, or it may be stored at a different storage address than the program 304.

[0052] The processor 301 and memory 302 can be configured separately or integrated together, for example, integrated on the system on chip (SOC) of the terminal device.

[0053] It should be understood that each step of the above method embodiment can be completed by hardware logic circuits or software instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0054] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0055] For example, in some embodiments, this application also provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the above-described industrial waste gas emission management method based on biological deodorization.

[0056] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0057] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for managing industrial waste gas emissions based on biological deodorization, characterized in that, Includes the following steps: Industrial waste gas is biodegraded by a biofilm loaded on the surface of inorganic packing material in a biofilter, resulting in the exhaust gas from the biofilter. The emitted gas is introduced into a six-stage sieve impact sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, resulting in aerosol samples of multiple particle sizes. Microbial culture and colony counting were performed on the aerosol samples to obtain the aerosol concentration of microorganisms in each particle size range. Then, based on all the aerosol concentrations, the particle size fraction of small-diameter microorganisms in the emitted gas was determined. High-throughput sequencing of microbial ribosomal genes was performed on the emitted gas to determine the relative abundance of various opportunistic pathogens in the emitted gas. When the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of industrial waste gas in the packing layer is automatically adjusted.

2. The method as described in claim 1, characterized in that, Industrial waste gas is biodegraded through a biofilm loaded on the surface of inorganic packing material in a biofilter. The resulting emission gas from the biofilter specifically includes: Inorganic packing materials with preset porosity and surface roughness are filled into the biological filter. The biofilm loaded on the surface of inorganic packing material in a biofilter is used to biodegrade pollutants in industrial waste gas, resulting in the exhaust gas from the biofilter.

3. The method as described in claim 1, characterized in that, The emitted gas is introduced into a six-stage sieve impactor sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, resulting in aerosol samples of multiple particle sizes, specifically including: The exhaust gas is introduced into a six-stage sieve impact sampler at a constant sampling flow rate; Microbial aerosols of different aerodynamic particle sizes are captured by the various impact disks in a six-stage sieve impact sampler. Aerosol samples with multiple particle sizes were determined based on all microbial aerosols.

4. The method as described in claim 1, characterized in that, Based on the aerosol samples, microbial culture and colony counting were performed to obtain the aerosol concentrations of microorganisms in each particle size range, specifically including: The aerosol samples were subjected to graded isothermal incubation using a culture medium to obtain the number of microbial colonies corresponding to each grade of aerosol. The aerosol concentration of microorganisms in each particle size range was determined based on the total number of microbial colonies.

5. The method as described in claim 1, characterized in that, The particle size fraction of small-diameter microorganisms in the emitted gas is determined based on all aerosol concentrations, specifically including: The concentration of small-diameter microbial aerosols in the emitted gas is determined based on all aerosol concentrations. The total aerosol concentration of microorganisms in the emitted gas is determined based on all aerosol concentrations. The particle size fraction of small-diameter microorganisms in the emitted gas is determined based on the concentration of small-diameter aerosols and the total aerosol concentration.

6. The method as described in claim 1, characterized in that, High-throughput sequencing of microbial ribosomal genes was performed on the emitted gas to determine the relative abundance of various opportunistic pathogens in the emitted gas, specifically including: The emitted gas is filtered and retained by a membrane sampler, and then the total deoxyribonucleic acid of microorganisms is extracted and amplified by polymerase chain reaction to obtain the amplified product. The amplified products were subjected to high-throughput sequencing to obtain the gene sequence information of 16S rRNA of microbial communities in the emitted gas; Bioinformatics analysis was performed based on the gene sequence information to obtain the relative abundance of various opportunistic pathogens in the emitted gas.

7. The method as described in claim 1, characterized in that, When the particle size fraction exceeds a preset threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the automatic adjustment of the inlet flow rate of industrial waste gas in the packing layer specifically includes: The particle size fraction is compared with a preset fraction threshold to obtain a particle size fraction exceeding the standard judgment mark; If the above-mentioned exceedance judgment flag is true, then the relative abundance of each conditionally pathogenic bacterium is compared with the preset abundance threshold. When the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold, the inlet flow rate of industrial waste gas in the packing layer is automatically adjusted.

8. An industrial waste gas emission management system based on biological deodorization, used to execute the industrial waste gas emission management method based on biological deodorization as described in any one of claims 1 to 7, characterized in that, include: The biological deodorization module is used to biodegrade industrial waste gas through a biofilm loaded on the surface of inorganic packing material in a biological filter, thereby obtaining the exhaust gas from the biological filter. The gas analysis module is used to introduce the emitted gas into a six-stage sieve impact sampler to capture microbial aerosols of different aerodynamic particle sizes step by step, and obtain aerosol samples of multiple particle sizes. The gas analysis module is also used to perform microbial culture and colony counting based on the aerosol sample to obtain the aerosol concentration of microorganisms in each particle size range, and then determine the particle size fraction of small-diameter microorganisms in the emitted gas based on all aerosol concentrations. The gas analysis module is also used to perform high-throughput sequencing of microbial ribosomal genes on the emitted gas, thereby analyzing the relative abundance of various conditionally pathogenic bacteria in the emitted gas. The emission control module is used to automatically adjust the inlet flow rate of industrial waste gas in the packing layer when the particle size fraction exceeds a preset fraction threshold and the relative abundance of a conditionally pathogenic bacterium exceeds a preset abundance threshold.

9. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing code, and the processor being configured to retrieve the code and execute the industrial waste gas emission management method based on biological deodorization as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the industrial waste gas emission management method based on biological deodorization as described in any one of claims 1 to 7.

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