Animal house exhaust integrated biological deodorization device with turbulence reinforcement

Abstract

The application provides a turbulence-enhanced integrated biological deodorization device for animal room tail gas, relates to the field of biological deodorization, and comprises a protective shell, the surface of the protective shell is provided with a driving motor, the upper portion of the protective shell is provided with a heat exchanger and a spraying frame, and the device comprises an arc-shaped fixing frame, a bacteria body adhering plate and a deodorization pipe body, the arc-shaped fixing frame is arranged in an annular array in the interior of the deodorization pipe body, and the surface of the deodorization pipe body is symmetrically provided with a through groove, and the through groove is respectively fixedly connected with an air inlet hopper and an air outlet hopper; a multi-source data fusion module, an intelligent early warning module and a self-adaptive adjustment module are used for adjusting the rotating speed of the arc-shaped fixing frame according to the predicted data output by the intelligent early warning module; the heat exchanger and the spraying frame are controlled to operate; the integrated intelligent early warning, self-adaptive adjustment and closed-loop control system significantly improve the efficiency, stability and energy efficiency of the animal room tail gas deodorization, and simultaneously reduce the maintenance requirement.

Description

Technical Field

[0001] This invention relates to the field of biological deodorization technology, and in particular to an integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence. Background Technology

[0002] With the development of laboratory animal research, especially in the fields of medicine, vaccines, and disease models, the construction and operation scale of animal facilities are constantly expanding.

[0003] Animal facility exhaust gas treatment methods mainly include activated carbon adsorption, chemical scrubbing, and biological filter deodorization. Among these, biological deodorization is widely used due to its advantages such as low operating cost, no secondary pollution, and high treatment efficiency. However, traditional biological deodorization devices mostly use fixed filter media layers or static biological packing structures, which have the following shortcomings when facing complex factors such as large fluctuations in animal facility exhaust load, obvious diurnal rhythms, and sensitivity to microbial growth conditions:

[0004] 1. Due to the drastic changes in temperature and humidity of the exhaust gas in animal rooms, traditional devices struggle to adjust the reaction environment in real time, leading to unstable microbial metabolic efficiency.

[0005] Second, during long-term operation, the biofilm renewal efficiency is low, and the accumulation of microbial metabolites can easily lead to carrier blockage or inactivation.

[0006] Third, most existing control systems are passive control or operate under fixed conditions, lacking a dynamic response mechanism for odor fluctuations. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to provide an integrated biological deodorization device for animal housing exhaust gas with enhanced turbulence. By integrating intelligent early warning, adaptive adjustment and closed-loop control system, the efficiency, stability and energy efficiency of animal housing exhaust gas deodorization are significantly improved, while reducing maintenance requirements.

[0008] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0009] An integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence includes a protective shell, a drive motor mounted on the surface of the protective shell, and a heat exchanger and spray rack mounted above the protective shell.

[0010] An arc-shaped fixing frame is arranged in a ring array inside the protective shell;

[0011] The bacterial attachment plate is fixedly connected to the receiving groove opened on the surface of the arc-shaped fixing frame;

[0012] The deodorizing pipe body is fixedly connected inside the protective shell. The arc-shaped fixing frame is arranged in a ring array inside the deodorizing pipe body. The arc-shaped fixing frame abuts against the inner wall of the deodorizing pipe body. An air inlet hopper and an air outlet hopper are fixedly connected to the through grooves symmetrically opened on the surface of the deodorizing pipe body.

[0013] The multi-source data fusion module is used to collect real-time operating data inside the deodorization pipe through sensors. The operating data includes temperature data, humidity data, rotation speed data of the arc-shaped fixing frame, bacterial film thickness data of the bacterial attachment plate, and odor concentration data in the animal room exhaust gas.

[0014] The intelligent early warning module is used to receive the operating data output by the multi-source data fusion module, compare the operating data with historical data, identify abnormal fluctuations in parameters through dynamic threshold criteria, predict deviations in operating status through trend evolution analysis, and generate predictive data containing abnormality types and evolution trends.

[0015] The adaptive adjustment module is used to dynamically adjust the rotation speed of the arc-shaped fixing frame based on the predicted data output by the intelligent early warning module and the odor concentration deviation value using a closed-loop feedback control strategy; it controls the operation of the heat exchanger and spray frame in conjunction with the predicted values ​​of temperature and humidity; and it triggers a periodic enhanced disturbance program based on the predicted value of the bacterial film growth status to promote bacterial film renewal by increasing the rotation speed of the arc-shaped fixing frame.

[0016] Furthermore, the interior of the protective shell is rotatably connected to a rotating roller via a first bearing, and the arc-shaped fixing frame is fixedly connected to the surface of the rotating roller in a circular array. The surface of the arc-shaped fixing frame is in contact with the inner wall of the protective shell. The interior of the air inlet hopper is equipped with a heat exchanger and a spray frame. The spray frame is located below the heat exchanger, and a number of atomizing nozzles are evenly arranged on the bottom surface of the spray frame.

[0017] Furthermore, the drive motor is mounted on the surface of the protective shell via a bracket, and a connecting circular block is fixedly connected to the end of the output shaft of the drive motor. Several drive magnets are fixedly connected to the surface of the connecting circular block in a circular array. The number of drive magnets corresponds to the number of arc-shaped fixing frames. Each side of the arc-shaped fixing frame near the drive magnet is fixedly inlaid with a magnetic block. The arc-shaped fixing frame and the corresponding drive magnet are connected by magnetic coupling.

[0018] Furthermore, a sealing door is installed in the rectangular opening on the surface of the protective shell, and a slag collection trough is fixedly connected in the slag removal trough on the bottom surface of the deodorizing pipe. The end of the slag collection trough away from the deodorizing pipe extends inside the protective shell to a position close to the sealing door. The area inside the protective shell between the inner wall of the protective shell and the deodorizing pipe is filled with thermal insulation material.

[0019] Furthermore, the dynamic threshold criterion includes:

[0020] Based on the sampling period and time window set by the device, the effective data sequence of each operating parameter in the historical operating cycle is periodically extracted. After removing abnormal data during equipment maintenance or failure, the parameters are statistically analyzed by time period. A dynamic fluctuation range is constructed based on the maximum and minimum values ​​of the same historical period to characterize the allowable fluctuation range of the corresponding parameter under normal operating conditions. When the value of any parameter collected in real time exceeds the dynamic fluctuation range for multiple consecutive sampling periods and the duration reaches a preset threshold, the intelligent early warning module automatically identifies the corresponding parameter as an abnormal state and determines the abnormality level according to its deviation magnitude and duration. The abnormality level is divided into three response levels: slight, moderate, or severe. The abnormality type and deviation level are output to the adaptive adjustment module as an abnormality marker. Based on the deviation magnitude and duration of the abnormal parameter, different levels of response measures are triggered to achieve graded response control.

[0021] Furthermore, the trend evolution analysis includes:

[0022] The allowable range of the rate of change of each parameter under normal operating conditions is determined based on historical operating data. The rate of change is the magnitude of change of the corresponding parameter per unit time. The allowable range is determined based on the average rate of change and the statistical fluctuation magnitude of historical data.

[0023] The system continuously collects real-time operating data and calculates the rate of change of multiple parameters at a set sampling period. The real-time rate of change is compared with the allowable rate of change range of the corresponding parameter item by item. When the rate of change of any parameter exceeds the allowable range for multiple consecutive sampling periods, or when the trend direction of the real-time data deviates from the allowable range for a long period of time and the magnitude reaches the set tolerance threshold, the intelligent early warning module generates a condition deterioration early warning signal.

[0024] The warning signal includes the trigger parameter name, deviation direction, deviation duration and deviation level, and is transmitted to the adaptive adjustment module for advance adjustment of the arc-shaped fixing frame speed, temperature control, humidity control or activation of periodic enhanced disturbance program.

[0025] Furthermore, the execution of the closed-loop feedback control strategy includes:

[0026] The deviation between the measured odor concentration and the set target emission concentration is calculated in real time, and the speed adjustment command is dynamically generated based on the duration and rate of change of the deviation.

[0027] The speed adjustment command is used to control the actual operating speed of the arc-shaped fixing frame, so as to realize the dynamic adjustment of the contact reaction time of the exhaust gas with the bacterial film on the bacterial attachment plate.

[0028] When the odor concentration is too high, the rotation speed of the arc-shaped fixing frame is increased to accelerate the airflow disturbance and extend the mass transfer contact path of the exhaust gas in the reaction zone.

[0029] When the odor concentration tends to stabilize or falls below the set target value, the rotation speed of the arc-shaped fixing frame is reduced accordingly to reduce energy consumption and avoid excessive disturbance of the bacterial film.

[0030] After the rotation speed of the arc-shaped fixing frame is adjusted, new odor concentration data is collected again. The updated deviation value is calculated in real time and it is determined whether further adjustment is needed, thus forming a continuously operating real-time closed-loop control link.

[0031] Furthermore, the periodic reinforcement perturbation procedure includes:

[0032] When the predicted value of the bacterial film thickness reaches or exceeds the preset critical threshold, the disturbance mechanism is activated, and the adaptive adjustment module controls the arc-shaped fixing frame to gradually increase the rotation speed in a step-by-step lifting manner.

[0033] The stepped lifting method is executed in stages at set time intervals, and the lifting range and duration are adjusted in conjunction with the real-time collected operation data to ensure that the renewal is achieved without damaging the stability of the bacterial film structure.

[0034] During the perturbation process, the change in the thickness of the bacterial film is continuously monitored. When the predicted value falls back and returns to the set safe range, the perturbation program is immediately terminated, and the rotation speed of the arc-shaped fixing frame is restored to the normal steady-state operating level.

[0035] Furthermore, it also includes:

[0036] The fault diagnosis module is used to perform real-time validity verification of sensor data during device operation, and to determine whether there are any abnormal situations such as long-term constant data, sudden changes, or significant deviations from data of other similar sensors; at the same time, it monitors whether the response status of the actuator is consistent with the corresponding control command, and determines whether there are any response failures, delays, or logical conflicts.

[0037] When the diagnostic module identifies any of the above-mentioned anomalies, it immediately triggers the backup control strategy, calls the parameter sequence of the corresponding time period in the historical operation data, and constructs an estimation model to predict and control the current operation status.

[0038] The energy efficiency optimization module is used to construct a correlation rule model between energy consumption data and exhaust gas purification efficiency data collected during long-term operation of the device, and apply the correlation rule model in real time when the device is in a non-abnormal state to dynamically limit the power of the heat exchanger, the spray frame and the arc-shaped fixed frame drive device, so as to control the energy consumption output range while meeting the purification effect.

[0039] Furthermore, the backup control strategy includes:

[0040] When the fault diagnosis module detects an anomaly in the corresponding sensor of any key parameter in the operating data, it automatically switches to the parameter estimation control logic based on the historical operating mode, calls historical data from the same operating period to generate a dynamic estimation curve, replaces the real-time data of the failed sensor, and maintains the continuity of the control logic.

[0041] When a continuous deviation is detected between the actual operating speed of the arc-shaped fixing frame and the control command, exceeding the set allowable range, a dual-parameter compensation control strategy of biofilm thickness and odor concentration is activated:

[0042] By analyzing the current combination of bacterial film thickness and odor concentration, the influence trend of response deviation is determined, and corresponding correction commands are executed on the rotation speed of the arc-shaped fixing frame. When the bacterial film is too thick or the odor concentration is too high, the rotation speed is increased; when the bacterial film is too thin or the odor concentration is too low, the rotation speed is decreased, in order to compensate for the impact of execution deviation on deodorization performance.

[0043] The above-described solution of the present invention has at least the following beneficial effects:

[0044] The above-mentioned solution of the present invention, through a multi-source data fusion module and an adaptive adjustment module, collects data such as temperature and humidity in real time, and controls the heat exchanger and spray rack in a coordinated manner to ensure that the microorganisms always operate under optimal culture conditions, thereby improving metabolic efficiency and deodorization stability.

[0045] The intelligent early warning module predicts parameter anomalies and generates early warning signals through dynamic threshold criteria and trend evolution analysis, thereby achieving hierarchical response control and reducing the risk of device failure.

[0046] Based on the predicted value of the bacterial film thickness, a periodic enhanced perturbation program is triggered. The rotation speed of the arc-shaped fixing frame is increased in a stepwise manner to promote the shedding of the aged bacterial film, while retaining the active bacteria and preventing carrier blockage and inactivation.

[0047] The PID control algorithm is used to dynamically adjust the rotation speed of the arc-shaped fixed frame, combined with the exhaust gas flow rate adjustment mechanism, to quickly respond to odor concentration deviations and improve purification efficiency.

[0048] The energy efficiency optimization module dynamically limits equipment power based on historical energy consumption data to reduce operating energy consumption; the fault diagnosis module enables backup control strategies to ensure that the device continues to operate when sensors or actuators malfunction, thereby enhancing reliability. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the overall structure provided by the present invention.

[0050] Figure 2 This is a schematic diagram of the driving magnet in this invention.

[0051] Figure 3 This is a schematic diagram of the atomizing nozzle in this invention.

[0052] Figure 4 This is a schematic diagram of the slag collection tank in this invention.

[0053] Figure 5 This is a schematic diagram of the bacterial attachment plate in this invention.

[0054] In the diagram: 101, protective shell; 102, drive motor; 103, heat exchanger; 104, spray frame; 1011, first recess; 1012, second recess;

[0055] 201. Deodorizing pipe body; 202. Air inlet duct; 203. Air outlet duct; 204. Atomizing nozzle; 205. Driving magnet; 206. Connecting block; 208. Rotating roller; 209. Arc-shaped fixing frame; 210. Bacterial attachment plate; 211. Slag collection trough; 212. Sealing door. Detailed Implementation

[0056] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0057] like Figures 1 to 5 As shown, an embodiment of the present invention proposes an integrated biological deodorization device for animal housing exhaust gas with enhanced turbulence, including a protective shell 101, a drive motor 102 disposed on the surface of the protective shell 101, and a heat exchanger 103 and a spray rack 104 disposed above the protective shell 101, comprising:

[0058] The arc-shaped fixing bracket 209 is arranged in a ring array inside the protective shell 101;

[0059] The bacterial attachment plate 210 is fixedly connected to the receiving groove opened on the surface of the arc-shaped fixing frame 209;

[0060] The deodorizing pipe body 201 is fixedly connected inside the protective shell 101. The arc-shaped fixing brackets 209 are arranged in a ring array inside the deodorizing pipe body 201. The arc-shaped fixing brackets 209 abut against the inner wall of the deodorizing pipe body 201. The air inlet hopper 202 and the air outlet hopper 203 are fixedly connected to the through grooves symmetrically opened on the surface of the deodorizing pipe body 201.

[0061] In this embodiment of the invention, when performing animal room exhaust gas treatment, the animal room exhaust gas that has undergone preliminary filtration (filtering large particulate impurities to reduce damage to the bacterial attachment plate 210) is pumped into the air inlet duct 202 of the air pump device, and the arc-shaped fixing frame 209 is driven by the drive motor 102 to rotate around its array center inside the deodorizing pipe body 201.

[0062] Animal house exhaust gas enters the interior of deodorizing pipe 201 through air inlet 202, flows along the inner wall of deodorizing pipe 201 to the interior of air outlet 203, and is discharged through air outlet 203. During this process, the number of bacterial attachment plates 210 that the exhaust gas passes through is determined by the rotation speed of arc-shaped fixing frame 209.

[0063] When the exhaust gas concentration is high, increase the rotation speed of the arc-shaped fixing frame 209 so that the exhaust gas passes through more of the bacterial attachment plate 210 for treatment.

[0064] When the exhaust gas concentration is low, reduce the rotation speed of the arc-shaped fixing frame 209 to reduce the amount of bacteria attached to the exhaust gas plate 210, thereby reducing the power consumption of the device.

[0065] Inside the protective shell 101, a rotating roller 208 is rotatably connected via a first bearing. An arc-shaped fixing frame 209 is fixedly connected to the surface of the rotating roller 208 in a ring array. The surface of the arc-shaped fixing frame 209 is in contact with the inner wall of the protective shell 101. Inside the air inlet hopper 202, a heat exchanger 103 and a spray frame 104 are installed. The spray frame 104 is located below the heat exchanger 103. Several atomizing nozzles 204 are evenly arranged on the bottom surface of the spray frame 104.

[0066] In this embodiment of the invention, the protective shell 101 is integrally formed with a first recess 1011 and a second recess 1012. The second recess 1012 is used to accommodate the first bearing. The inner wall of the first recess 1011 is in contact with the surface of the arc-shaped fixing frame 209. The first recess 1011 facilitates the fixing of the deodorizing pipe 201. After the exhaust gas is introduced through the air inlet hopper 202, it moves in an arc around the central axis of the deodorizing pipe 201 in the area enclosed by the first recess 1011 and the inner wall of the deodorizing pipe 201 until it enters the interior of the air outlet hopper 203 and is discharged through the air outlet hopper 203. The rotation of the rotating roller 208 drives the arc-shaped fixing frame 209 to rotate, so as to adjust the number of arc-shaped fixing frames 209 through which the exhaust gas passes.

[0067] When the exhaust gas enters the air inlet hopper 202, the heat exchanger 103 heats the exhaust gas to the set temperature. At the same time, after the exhaust gas passes through the heat exchanger 103, it is evenly blown towards the spray frame 104. When it is necessary to adjust the humidity environment inside the deodorization pipe 201, the atomizing nozzle 204 at the bottom of the spray frame 104 blows out atomized water evenly. The exhaust gas, after being rectified by the heat exchanger 103, passes through the spray frame 104 again and carries the atomized water, blowing it towards the bacterial attachment plate 210 to replenish the bacterial attachment plate 210 with moisture. When it is necessary to replenish the bacterial attachment plate 210 with the corresponding nutrients, the corresponding concentration of nutrient solution can be added to the atomized water and sprayed out through the atomizing nozzle 204.

[0068] The heat exchange medium circulates through the inlet and outlet of the heat exchanger 103. With the help of a temperature control device located outside the device, the exhaust gas passes through the surface of the heat exchanger 103 and participates in heat exchange. The spray frame 104 has a cavity inside for liquid flow. The atomizing nozzle 204 is installed in the reserved mounting hole at the bottom of the spray frame 104 and is connected to the inside of the spray frame 104. Water or nutrient solution is pumped into the inside of the spray frame 104 through a pump body located outside the device. This is known in the prior art and will not be described in detail here.

[0069] The drive motor 102 is mounted on the surface of the protective shell 101 by a bracket. The end of the output shaft of the drive motor 102 is fixedly connected to a connecting block 206. Several drive magnets 205 are fixedly connected to the surface of the connecting block 206 in a ring array. The number of drive magnets 205 corresponds to the number of arc-shaped fixing frames 209. Magnetic blocks are fixedly embedded on the side of the arc-shaped fixing frame 209 near the drive magnets 205. The arc-shaped fixing frame 209 and the corresponding drive magnets 205 are connected by magnetic coupling.

[0070] In this embodiment of the invention, during the process of rotating the arc-shaped fixing frame 209 around the central axis of the deodorizing pipe body 201, the drive motor 102 is powered on and runs. The operation of the drive motor 102 drives the connecting block 206 to rotate. The rotation of the connecting block 206 causes the arc-shaped fixing frame 209 to rotate synchronously through the magnetic attraction between the magnetic block inside it and the drive magnet 205.

[0071] A sealing door 212 is installed in the rectangular opening on the surface of the protective shell 101. A slag collection trough 211 is fixedly connected in the slag removal trough on the bottom surface of the deodorizing pipe 201. The end of the slag collection trough 211 away from the deodorizing pipe 201 extends inside the protective shell 101 to a position close to the sealing door 212. The area inside the protective shell 101 between the inner wall of the protective shell 101 and the deodorizing pipe 201 is filled with thermal insulation material.

[0072] In this embodiment of the invention, inside the deodorizing pipe 201, the water mist or nutrient solution injected into the deodorizing pipe 201 accumulates towards the bottom of the deodorizing pipe 201 under the action of centrifugal force and gravity of the rotating arc-shaped fixing frame 209. At the same time, the bacterial film that falls off the surface of the bacterial attachment plate 210 during the rotation of the arc-shaped fixing frame 209 also accumulates towards the bottom of the deodorizing pipe 201. The accumulated liquid and bacterial film fall into the sludge collection tank 211. The accumulation inside the sludge collection tank 211 can be cleaned by opening the sealing door 212 and using a cleaning device such as a brush.

[0073] It should be noted that the upper surface of the protective shell 101 has reserved slots corresponding to the air outlet 203 and the air inlet 202, which facilitates the installation of the air inlet 202 and the air outlet 203.

[0074] The multi-source data fusion module is used to collect real-time operating data inside the deodorization pipe 201 through sensors. The operating data includes temperature data, humidity data, rotation speed data of the arc-shaped fixing frame 209, bacterial film thickness data of the bacterial attachment plate 210, and odor concentration data in the animal room exhaust gas.

[0075] The intelligent early warning module is used to receive the operational data output by the multi-source data fusion module, compare the operational data with historical data, identify abnormal fluctuations in parameters through dynamic threshold criteria, predict deviations in operational status through trend evolution analysis, and generate predictive data containing anomaly types and evolution trends.

[0076] The adaptive adjustment module is used to dynamically adjust the rotation speed of the arc-shaped fixing frame 209 based on the predicted data output by the intelligent early warning module and the odor concentration deviation value using a closed-loop feedback control strategy; it controls the operation of the heat exchanger 103 and the spray frame 104 in conjunction with the predicted temperature and humidity values; and it triggers a periodic enhanced disturbance program based on the predicted value of the bacterial film growth status to promote bacterial film renewal by increasing the rotation speed of the arc-shaped fixing frame 209.

[0077] In this embodiment of the invention, it is applied to an SPF-grade mouse animal facility, with a single batch size of approximately 500-1000 mice, and a daily ventilation rate of 15-20 times. The main components of the exhaust gas are derived from a composite bacterial film system, and the specific bacterial composition and culture parameters are as follows:

[0078] The core bacterial species are: Pseudomonas putida, Thiobacillus denitrificationis and Acinetobacter rumeni. The three bacterial species are inoculated on the surface of polyurethane sponge carrier in a ratio of 3:2:1. In this embodiment, the bacterial attachment plate 210 is made of polyurethane sponge.

[0079] The culture temperature was set at 35℃ (this temperature can simultaneously meet the metabolic activity requirements of the three bacterial strains).

[0080] The culture humidity is set to 70% (this humidity condition can maintain the moisture balance of the bacterial film).

[0081] The multi-source data fusion module uses a cluster of sensors deployed inside the protective shell 101 and the air inlet duct 202 to collect real-time operational data of the microbial attachment plate 210 inside the deodorization pipe 201. Specifically, this includes:

[0082] Temperature data inside the deodorization tube 201 is collected using armored thermocouple sensors;

[0083] Humidity data inside the deodorizing tube 201 is collected by a capacitive humidity sensor;

[0084] Rotational speed data of the arc-shaped fixing bracket 209 are collected by a Hall effect rotational speed sensor;

[0085] Data on the thickness of the bacterial film on the surface of the bacterial attachment plate 210 were collected using a laser displacement sensor.

[0086] Odor concentration data of animal facility exhaust gas before entering the device were collected using gas chromatography-mass spectrometry.

[0087] The aforementioned operational data is converted by an analog-to-digital converter and then uniformly transmitted to a multi-source data fusion module for standardized processing.

[0088] After receiving standardized operational data output by the multi-source data fusion module, the intelligent early warning module calls historical operational data within a set time window from the storage unit for comparative analysis (in this embodiment, historical operational data from the past 30 days is called). Specifically, the execution includes:

[0089] Step S1: Compare each parameter in the running data point by point with the parameter sequence of the same historical period (in this embodiment, the same period refers to the same season and the same running time);

[0090] Step S2: Calculate the real-time fluctuation range of each parameter using the sliding window algorithm. When the fluctuation range of a certain parameter exceeds the historical fluctuation range for a set number of consecutive sampling periods (in this embodiment, the number of consecutive sampling periods is set to 5 times and the sampling period is set to 1 minute) is exceeded, an anomaly flag is activated.

[0091] Step S3 involves using a linear regression model to predict the trend of operational data changes over a predetermined period. The linear regression model is a univariate linear fitting model, constructed based on the time series changes of a single parameter. The prediction model coefficients are updated every 24 hours, using historical data from the past 30 days as a basis. The model is then refitted using the least squares method to overwrite the old model. In this embodiment, the linear regression model uses historical operational data from the previous 10 minutes as input to predict the changing trends of parameters such as temperature, humidity, and odor concentration within the next hour.

[0092] In this embodiment, constructing the prediction model includes the following steps:

[0093] Step S061: Select odor concentration data from 7:00-9:00, 17:00-19:00 (peak period of exhaust gas emission), and 12:00-14:00 (stable period) every day for the past 30 days, and record it once every 5 minutes to ensure coverage of the concentration change characteristics under different operating conditions.

[0094] Step S062: Remove obvious outliers, fill in missing data using linear interpolation, and convert all concentration values ​​into percentages relative to the target emission concentration for unified analysis.

[0095] Step S063: For the single parameter of odor concentration, the processed data is arranged in chronological order to form an independent time series, with each data point corresponding to a specific time (e.g., 7:00 is the first point, 7:05 is the second point, etc.).

[0096] Step S064: Using time as the independent variable (represented by serial numbers 1, 2, 3, ...) and odor concentration as the dependent variable, establish a univariate linear fitting relationship, that is, find a straight line that best represents the trend of concentration change over time using these data.

[0097] For example, among the 12 data points from 7:00 to 8:00, time numbers 1 to 12 correspond to concentration values ​​of 100 ppm to 130 ppm. The variation of concentration with increasing time number is determined by fitting.

[0098] Step S065: Based on historical data from the past 30 days, calculate the coefficients (i.e., the slope and intercept of the line) of the univariate linear model using the least squares method. Specifically, find the coefficient values ​​that minimize the sum of the squared distances from all data points to the fitted line, ensuring that the model best fits the historical data trend.

[0099] Step S066: The update program is automatically triggered at 0:00 every day to retrieve the latest 30 days of historical data (removing the earliest day's data and adding the new data from the previous day). Based on the new 30 days of data, the model coefficients are recalculated using the least squares method to overwrite the old coefficients, ensuring that the model can reflect the latest trends.

[0100] Step S067: Use data that has not been used in the prediction model construction in the last 7 days for verification. If the average deviation rate of the last 7 days is less than 8%, the prediction model is solidified and put into use. If the deviation rate is too high, return to step S064 to refit.

[0101] The intelligent early warning module predicts the operating trend of the device using a linear regression model. The specific prediction method is as follows:

[0102] First, using the current moment as a baseline, data from each minute of the previous 10 minutes is continuously collected as input, totaling 10 data points, and input into the linear regression model to predict the changing trends of temperature, humidity, and odor concentration parameters per minute in the next hour.

[0103] Meanwhile, in order to establish a theoretical trend line under normal operating conditions, the intelligent early warning module uses data from the same time period of the past 30 consecutive days (e.g., 60 data points from 9 am to 10 am each day, with one data point collected every minute) as a basis. It uses the same linear regression method to establish a trend line for the historical data of this period day by day, and then averages the predicted values ​​of these 30 trend lines minute by minute to form a standard theoretical trend line representing normal operating conditions.

[0104] Then, the predicted value for each minute in the next hour is compared point by point with the value at the corresponding moment of the standard theoretical trend line mentioned above, and the relative percentage difference between the predicted value and the theoretical value at each moment is calculated. The percentage difference is calculated by dividing the difference between the predicted value and the theoretical trend value by the theoretical trend value.

[0105] When the relative percentage difference between the predicted value and the theoretical trend value at any future time exceeds ±5%, the module will mark the corresponding time as a trend anomaly, and further define it as one or more of the following anomaly types based on how the difference occurs:

[0106] When the predicted temperature value is higher than the theoretical trend value for multiple consecutive time periods (set to 3 in this embodiment) and the percentage difference exceeds +5%, it is marked as "rapid temperature rise";

[0107] When the predicted humidity value is lower than the theoretical trend value for multiple consecutive time periods (set to 3 in this embodiment) and the percentage difference exceeds -5%, it is marked as "humidity continues to decline";

[0108] When the predicted odor concentration is higher or lower than the theoretical trend value for multiple consecutive time periods (set to 3 in this embodiment) and the fluctuation range exceeds ±5%, it is marked as "increased odor fluctuation".

[0109] Ultimately, the intelligent early warning module generates clear trend prediction data based on these anomaly markers. This data includes the clearly defined anomaly types mentioned above, as well as the changing trend data of each parameter over the next 30 minutes. This data is then transmitted to the adaptive adjustment module as the input for control actions.

[0110] The adaptive adjustment module executes based on the predicted data output by the intelligent early warning module:

[0111] Based on the deviation between the measured odor concentration and the target emission concentration, the rotation speed of the arc-shaped fixing frame 209 is dynamically adjusted using a PID control algorithm.

[0112] The specific implementation method is as follows:

[0113] With the device operating stably at a set initial rotation speed (30 r / min in this embodiment), the odor concentration initially entering the device is measured in real time after stabilization (e.g., stabilizing at 100 ppm). Under this stable condition, the rotation speed of the device is rapidly increased by a certain value (e.g., increased by 5 rpm), and then the change in odor concentration inside the device over time is continuously measured to obtain odor concentration response curve data.

[0114] After clarifying the above response curve, the specific implementation method for determining the critical proportional coefficient and critical period of the device is as follows:

[0115] By gradually increasing the set value of the scaling factor, you can start with a small scaling factor value (e.g., starting with a scaling factor of 1.0) and then gradually increase the scaling factor in a fixed step size (e.g., increasing by 0.5 each time).

[0116] After each adjustment of the proportional coefficient, observe the change in odor concentration inside the device over time. When the proportional coefficient increases to a certain value, the odor concentration inside the device begins to exhibit obvious and stable periodic fluctuations (i.e., the device enters a critical oscillation state). The proportional coefficient corresponding to this point is the critical proportional coefficient of the device, and the period experienced by the corresponding odor concentration fluctuation is the critical period.

[0117] For example, under the above determination method, when the proportionality coefficient increases to 3.0, the odor concentration of the device first exhibits a stable and continuous periodic fluctuation. At this time, the duration of the recorded periodic fluctuation of the odor concentration (the interval from one peak to the next peak) is determined to be 20 seconds. Therefore, under the typical operating conditions of this embodiment, the critical proportionality coefficient of the device can be clearly determined to be 3.0, and the critical period is 20 seconds, through this method.

[0118] Based on the critical proportional gain (e.g., 3.0) and critical period (e.g., 20 seconds) mentioned above, the calculation is performed using the standard PID parameter determination method. The specific calculation method is as follows:

[0119] The proportionality coefficient was determined to be 0.6 times the critical proportionality coefficient (3.0), and the proportionality coefficient was calculated to be 1.8.

[0120] The integral coefficient is determined to be the above proportional coefficient (1.8) divided by half of the critical period (20 seconds) (10 seconds), and the integral coefficient is calculated to be 0.18;

[0121] The differential coefficient is determined to be the proportional coefficient (1.8) multiplied by one-eighth of the critical period (20 seconds) (2.5 seconds), and the calculated differential coefficient is 4.5.

[0122] When there is a deviation between the odor concentration detected by the device in real time and the target concentration, the device will adjust its rotation speed by 1.8 revolutions per minute for every 1 ppm concentration deviation to quickly correct the deviation.

[0123] During the operation of the device, the concentration deviation is accumulated in real time. When the accumulated concentration deviation reaches 1 ppm·s, the device will adjust the rotation speed by an additional 0.18 rpm on the current rotation speed to gradually eliminate the continuous deviation.

[0124] During real-time monitoring of odor concentration changes, when the rate of deviation reaches 1 ppm / s, the device will respond in advance by adjusting the rotation speed by an additional 4.5 rpm to prevent the concentration from deviating further from the target value.

[0125] When the predicted temperature value is higher than the current set value by more than a preset threshold or the predicted humidity value is lower than the current set value by more than a preset threshold, the cooling mode of the heat exchanger 103 or the humidification mode of the spray rack 104 is activated in conjunction with the temperature setting until the predicted value returns to the set range. In this embodiment, the temperature setting value is 35°C, the preset temperature threshold is set to 0 to 2°C, the humidity setting value is 70%, and the preset humidity threshold is 0 to 5%.

[0126] In this embodiment, considering the exhaust gas characteristics of the SPF-grade mouse animal facility (the peak ammonia concentration in the odor is approximately 150 ppm, with emission peaks occurring daily between 7:00-9:00 and 17:00-19:00), when the measured odor concentration exceeds the target emission concentration (5 ppm), the rotation speed adjustment logic of the arc-shaped fixture 209 is adapted to the mouse's activity rhythm, increasing the sensitivity of the rotation speed adjustment response of the arc-shaped fixture 209 by 20% during peak emission periods, specifically by increasing the PID parameter value by 20%.

[0127] Temperature and humidity linkage control adapts to the characteristics of the bacterial strains: When the predicted temperature exceeds 35℃ and deviates from the threshold by 1℃, the heat exchanger 103 is activated, and the internal temperature of the deodorization tube 201 is reduced to 34℃±0.5℃ through heat exchange; when the predicted humidity is below 70% and deviates from the threshold by 5%, the spray rack 104 is activated, and the humidity is increased by 2% per hour until it returns to the 70%±2% range.

[0128] The biofilm renewal program is optimized for the characteristics of the complex bacterial species: when the predicted biofilm thickness dominated by Acinetobacter rumeni reaches 1.8 mm, the rotation speed of the arc-shaped fixing frame 209 is increased to 60 r / min for 30 minutes. When the predicted biofilm thickness is greater than or equal to 2 mm (preset safety threshold), a periodic enhanced perturbation program is triggered, and the rotation speed is increased stepwise to 80 r / min. This operation can effectively remove the aging biofilm (mainly Acinetobacter rumeni on the surface) while retaining the highly active Pseudomonas putida and Thiobacillus denitrification in the bottom layer.

[0129] When the predicted thickness of the bacterial film reaches the preset safety threshold (set to 2 mm in this embodiment) or when the dominant thickness of *Rhus chinensis* reaches 1.8 mm, an enhanced disturbance program is triggered every set time interval, increasing the rotation speed of the arc-shaped fixing frame 209 from the normal operating speed to the disturbance speed (set to 60 r / min in this embodiment), and running continuously for a set time (set to 30 minutes in this embodiment) to promote the shedding of the aged bacterial film.

[0130] In the PID control logic, when the rotational speed of the arc-shaped fixed frame 209 is gradually increased to close to the disturbance speed (60 r / min) through closed-loop feedback adjustment, in order to reduce excessive disturbance to the bacterial film, the device starts the coordinated adjustment mechanism of the exhaust gas intake when the predicted value of the bacterial film thickness has not reached the preset safety threshold.

[0131] In this embodiment, the specific implementation of the coordinated regulation mechanism for exhaust gas intake is as follows:

[0132] Step S071: Set the critical threshold of the arc-shaped fixing frame 209 speed to 55 r / min (i.e. 90% of the disturbance speed of 60 r / min). When the real-time speed of the arc-shaped fixing frame 209 is maintained at or above 55 r / min for three consecutive sampling cycles, the exhaust gas intake adjustment program is triggered.

[0133] Step S072: Calculate the adjustment ratio based on the difference between the current rotational speed of the arc-shaped fixing frame 209 and the disturbance rotational speed.

[0134] When the current speed is 55 r / min to 57 r / min, the exhaust gas intake is reduced by 10% compared to the current baseline value;

[0135] When the current speed is 58 r / min to 60 r / min, the exhaust gas intake is reduced by 20% compared to the current baseline value;

[0136] The baseline value is the stable exhaust gas flow rate when the engine speed is below 55 r / min;

[0137] Step S073: Monitor the odor concentration change after adjusting the exhaust gas flow rate in real time. If the odor concentration can still be maintained below the target emission concentration when the rotation speed is close to 60 r / min and the exhaust gas flow rate is reduced, then maintain the current adjustment ratio. If the odor concentration shows an upward trend, then suspend the adjustment of the exhaust gas flow rate and prioritize fine-tuning the rotation speed of the arc-shaped fixing frame 209 (maximum not exceeding 60 r / min) through the PID algorithm until the odor concentration returns to the target range, then continue to adjust the exhaust gas flow rate according to the corresponding ratio.

[0138] In step S074, when the rotation speed of the arc-shaped fixing frame 209 drops below 55 r / min due to the subsequent decrease in odor concentration, the exhaust gas intake is restored by 5% every 2 minutes until the rotation speed returns to the normal range (less than 55 r / min) and is fully restored to the baseline value.

[0139] It should be noted that, in this embodiment of the invention, the exhaust gas from the animal facility is mainly composed of volatile organic compounds such as ammonia, hydrogen sulfide, and methanethiol, each with different metabolic sources and fluctuation characteristics. To ensure the comprehensiveness and stability of odor control, "odor concentration" is used as the basic monitoring indicator, and a multi-component concentration monitoring mechanism is introduced. This involves real-time acquisition of the individual concentration values ​​of each target pollutant component using multi-channel sensors. In the control strategy, to ensure that even the component with the weakest deodorization effect can meet emission standards, a "minimum control value" mechanism is set. This involves comparing the currently monitored concentrations of the main odor components such as ammonia, hydrogen sulfide, and methanethiol with their respective set target emission concentrations, and using the one that deviates most severely from the target as the key control parameter for the current control cycle. Using the total odor concentration facilitates rapid response while ensuring that emissions compliance is not misjudged due to the "dilution" of a particular component, thus enhancing the stability and safety of the overall deodorization system.

[0140] Dynamic threshold criteria include:

[0141] Based on the sampling period and time window set by the device, the effective data sequence of each operating parameter in the historical operating cycle is extracted periodically. After removing abnormal data during equipment maintenance or failure, the parameters are statistically analyzed by time period. A dynamic fluctuation range is constructed based on the maximum and minimum values ​​of the same historical period to characterize the allowable fluctuation range of the corresponding parameter under normal operating conditions. When the value of any parameter collected in real time exceeds the dynamic fluctuation range for multiple consecutive sampling periods and the duration reaches the preset threshold, the intelligent early warning module automatically identifies the corresponding parameter as an abnormal state and determines the abnormality level according to its deviation magnitude and duration. The abnormality level is divided into three response levels: slight, moderate, or severe. The abnormality type and deviation level are output as an abnormality marker to the adaptive adjustment module. Based on the deviation magnitude and duration of the abnormal parameter, different levels of response measures are triggered to achieve graded response control.

[0142] In this embodiment of the invention, a dynamic fluctuation range for each parameter within a historical period is established. This dynamic fluctuation range is established as follows: historical operating data is extracted monthly, excluding data from periods of equipment maintenance and failure. The mean and standard deviation of each parameter during the same operating time (e.g., 9:00-10:00 daily) are calculated, and the mean ± 2 times the standard deviation is used as the dynamic fluctuation range. This range is automatically updated monthly. In this embodiment, the temperature fluctuation range is 34-36℃, the humidity fluctuation range is 65%-75%, the rotational speed fluctuation range of the arc-shaped fixing frame 209 is 25r / min-60r / min, the bacterial film thickness fluctuation range is 0.5-2mm, and the odor concentration fluctuation range inside the air inlet duct 202 is 50-150ppm. When any parameter in the real-time operating data continuously exceeds the preset duration of its corresponding range (set to 5 minutes in this embodiment), it is marked as abnormal.

[0143] The graded response control specifically classifies abnormal parameter conditions into three response levels: minor, moderate, and severe, based on the magnitude and duration of real-time operational data exceeding the dynamic fluctuation range.

[0144] Minor anomalies: If the real-time parameters deviate from the dynamic fluctuation range by less than 10% and the duration is less than 10 minutes, only monitoring and early warning will be activated, without changing the operating parameters;

[0145] Medium anomaly: When the real-time parameters deviate from the dynamic fluctuation range by 10% to 20%, or the duration exceeds 10 minutes but does not exceed 30 minutes, the temperature, humidity, and speed parameters will be automatically fine-tuned.

[0146] Serious anomaly: When the real-time parameters deviate from the dynamic fluctuation range by more than 20%, or when the continuous over-limit time exceeds 30 minutes, full emergency control will be automatically activated, including immediate speed adjustment, activation of backup control strategy, and fault diagnosis alarm.

[0147] Trend evolution analysis includes:

[0148] Based on historical operating data, the allowable range of the rate of change of each parameter under normal operating conditions is determined. The rate of change is the magnitude of change of the corresponding parameter per unit time, and the allowable range is determined by the average rate of change and the statistical fluctuation magnitude of historical data.

[0149] The system continuously collects real-time operating data and calculates the rate of change of multiple parameters at a set sampling period. It compares the real-time rate of change with the allowable rate of change range of the corresponding parameter item by item. When the rate of change of any parameter exceeds the allowable range for multiple consecutive sampling periods, or when the trend direction of the real-time data deviates from the allowable range for a long period of time and the magnitude reaches the set tolerance threshold, the intelligent early warning module generates a condition deterioration early warning signal.

[0150] The warning signal includes the trigger parameter name, deviation direction, deviation duration and deviation level, and is transmitted to the adaptive adjustment module to adjust the rotation speed, temperature control, humidity control or activate the periodic enhanced disturbance program of the arc-shaped fixing frame 209 in advance.

[0151] In this embodiment of the invention, the allowable range of the rate of change of each parameter under normal operating conditions is determined based on historical data. In this embodiment, the temperature change per hour does not exceed ±2℃, the humidity change per hour does not exceed ±5%, and the odor concentration change per hour does not exceed ±20ppm. Real-time data is continuously collected and the rate of change is calculated. If the real-time rate of change exceeds the allowable range for multiple consecutive sampling periods (set to 3 in this embodiment, set to 1 minute in this embodiment), or if the trend of change continues to deviate from the allowable range in direction and magnitude to reach the set tolerance threshold, an early warning signal of deterioration of operating conditions is generated.

[0152] The historical operating data is automatically recalculated and updated every set period of time (set to the most recent 30 days in this embodiment) to adapt to seasonal or long-term changes in the device's operating conditions.

[0153] In this embodiment, the range update rule is allowed to be executed once a month, and the execution method includes:

[0154] Step S011: Extract valid operational data of parameters from the past 30 days (excluding data from equipment maintenance and sensor failures).

[0155] Step S012: Calculate the mean and standard deviation for each parameter;

[0156] Step S013: Set the normal fluctuation range with the sum of the mean and twice the standard deviation as the upper limit and the difference between the mean and twice the standard deviation as the lower limit, as the new allowable range;

[0157] Step S014: Update the device threshold table and replace the old parameter configuration;

[0158] Step S015: Archive the new threshold record for future use in trend evolution analysis.

[0159] The execution of a closed-loop feedback control strategy includes:

[0160] The deviation between the measured odor concentration and the set target emission concentration is calculated in real time, and the speed adjustment command is dynamically generated based on the duration and rate of change of the deviation.

[0161] The speed adjustment command is used to control the actual operating speed of the arc-shaped fixing frame 209, so as to realize the dynamic adjustment of the contact reaction time of the exhaust gas on the bacterial film of the bacterial attachment plate 210.

[0162] When the odor concentration is too high, the rotation speed of the arc-shaped fixing frame 209 is increased to accelerate the airflow disturbance and extend the mass transfer contact path of the exhaust gas in the reaction zone.

[0163] When the odor concentration tends to stabilize or is lower than the set target value, the rotation speed of the arc-shaped fixing frame 209 is reduced accordingly to reduce energy consumption and avoid excessive disturbance of the bacterial film.

[0164] After the rotation speed of the arc-shaped fixed frame 209 is adjusted, new odor concentration data is collected again. The updated deviation value is calculated in real time and it is determined whether further adjustment is needed, thus forming a continuously operating real-time closed-loop control link.

[0165] In this embodiment of the invention, the target odor emission concentration is set at 5 ppm. The odor concentration is monitored in real time, and the deviation from the target value is calculated. The rotation speed control signal is continuously updated based on the characteristics of the deviation. Specifically, the odor concentration deviation is calculated in real time, and a rotation speed adjustment command is dynamically generated based on the magnitude, duration, and trend of the deviation: the larger the deviation or the longer the duration, the greater the increase in the rotation speed of the arc-shaped fixing frame 209; when the deviation decreases, the rotation speed adjustment of the arc-shaped fixing frame 209 is reduced accordingly, thereby adjusting the contact reaction time between the exhaust gas and the bacterial film. After adjustment, odor concentration data is collected again, and the deviation is recalculated to form a closed-loop feedback until the odor concentration stabilizes at the target value.

[0166] The rotational speed adjustment of the arc-shaped fixed frame 209 is calculated by multiplying the proportional term by the deviation, the integral term by the cumulative deviation, and the derivative term by the deviation change rate. Here, the deviation is the difference between the real-time measured odor concentration and the target emission concentration; the cumulative deviation is the integral of the deviation value within the set time window; and the deviation change rate is the magnitude of the deviation change per unit time.

[0167] The speed regulation process is strictly matched with the exhaust gas coordination mechanism: when the real-time speed of the arc-shaped fixed frame 209 is lower than 55 r / min, the deviation is only responded to by speed regulation; when the speed rises to 55 r / min and above, the exhaust gas flow rate is synchronously adjusted according to the rule of "the exhaust gas flow rate is reduced by 10% when the speed is 55 r / min-57 r / min and reduced by 20% when the speed is 58 r / min-60 r / min", and the maximum speed does not exceed 60 r / min.

[0168] Periodic reinforcement perturbation procedures include:

[0169] When the predicted value of the bacterial film thickness reaches or exceeds the preset critical threshold, the disturbance mechanism is activated, and the adaptive adjustment module controls the arc-shaped fixed frame 209 to gradually increase the rotation speed in a step-by-step lifting manner.

[0170] The step-by-step improvement method is implemented in stages at set time intervals. The improvement range and duration are adjusted in conjunction with the real-time collected operation data to ensure that the renewal is achieved without damaging the stability of the bacterial film structure.

[0171] During the perturbation process, the change in the film thickness is continuously monitored. When the predicted value falls back and returns to the set safe range, the perturbation program is immediately terminated, and the rotation speed of the arc-shaped fixing frame 209 is restored to the normal steady-state operating level.

[0172] In this embodiment of the invention, when the predicted value of the bacterial film thickness exceeds the critical threshold, the rotation speed is gradually increased in stages: initially, it runs at a low speed, and then the rotation speed is increased to a set peak value in stages according to the real-time bacterial film shedding rate to ensure uniform bacterial film renewal. In this embodiment, when the predicted value of the bacterial film thickness reaches or exceeds the preset critical threshold of 2 mm, the step-by-step increase sequence of the rotation speed of the arc-shaped fixing frame 209 is started. The rotation speed is increased to 60 r / min in the first 1-10 minutes, to 70 r / min in the 11-20 minutes, and to 80 r / min in the 21-30 minutes. If the temperature exceeds 36°C during the disturbance, the maximum rotation speed is limited to 70 r / min, and the disturbance time is extended to 40 minutes. When the bacterial film thickness is detected to drop to 1.5 mm, the rotation speed is restored to the steady-state operation level of 30 r / min. If the bacterial film thickness does not reach 1.5 mm for a long time (set to 30 minutes in this embodiment), the disturbance is automatically terminated, normal steady-state operation is restored, and alarm information is recorded for subsequent maintenance reference.

[0173] The fault diagnosis module is used to perform real-time validity verification of sensor data during device operation, and to determine whether there are any abnormal situations such as long-term constant data, sudden changes, or significant deviations from data of other similar sensors; at the same time, it monitors whether the response status of the actuator is consistent with the corresponding control command, and determines whether there are any response failures, delays, or logical conflicts.

[0174] When the diagnostic module identifies any of the above-mentioned anomalies, it immediately triggers the backup control strategy, calls the parameter sequence of the corresponding time period in the historical operation data, and constructs an estimation model to predict and control the current operation status.

[0175] The energy efficiency optimization module is used to construct a correlation rule model between the energy consumption data and exhaust gas purification efficiency data collected during the long-term operation of the device. When the device is in a non-abnormal state, the correlation rule model is applied in real time to dynamically limit the power of the heat exchanger 103, spray rack 104 and arc-shaped fixed frame 209 drive device, so as to control the energy consumption output range while meeting the purification effect.

[0176] In this embodiment of the invention, the sensor data of the armored thermocouple sensor, capacitive humidity sensor, Hall effect speed sensor, laser displacement sensor, and gas chromatography-mass spectrometry instrument inside the device are monitored in real time, and the following situations are judged as abnormal.

[0177] The data remains constant over a long period of time, such as the sensor output fluctuation being less than 0.5% for 10 consecutive minutes;

[0178] Sudden data changes, such as a change in value within one minute exceeding twice the maximum fluctuation value for the same period in history;

[0179] Significant deviations in similar sensors: If the difference in measurement values ​​between two or more (if any) similar sensors within the same area is greater than or equal to 10% for five consecutive sampling periods;

[0180] Real-time comparison of control commands with the actual status of actuators such as the arc-shaped fixed frame 209 drive device (in this embodiment, the drive motor 102), heat exchanger 103, and spray frame 104:

[0181] The response failed, for example, the command required the rotation speed of the arc-shaped fixing frame 209 to be increased to 50 r / min, but the actual rotation speed remained less than or equal to 30 r / min for 3 minutes;

[0182] If, after the command is issued, heat exchanger 103 fails to activate the cooling mode within 30 seconds, then the response is ineffective.

[0183] Logical conflicts, such as simultaneously receiving contradictory instructions for the arc-shaped fixing frame 209 to increase its speed to 60 r / min and for the arc-shaped fixing frame 209 to decrease its speed to 20 r / min.

[0184] When the fault diagnosis module identifies any of the above-mentioned anomalies, the backup control strategy is immediately activated.

[0185] The energy efficiency optimization module operates in the following ways:

[0186] Extract the operating data of the past 90 days that meet the purification efficiency standard (in this embodiment, this means that the odor concentration is less than or equal to 5 ppm and is stable for more than 2 hours continuously), and screen out the low energy consumption samples in the top 20% of the samples (such as when the rotation speed of the arc-shaped fixed frame 209 is 30r / min-45r / min, the power of the heat exchanger 103 is less than or equal to 2 kilowatts, and the humidification capacity of the spray frame 104 is less than or equal to 5L / h, which can meet the purification requirements and are in a low energy consumption state). Use the equipment power range of these samples as the benchmark constraint value.

[0187] During normal operation of the device, the current energy consumption is compared with the baseline constraint value in real time:

[0188] If the purification efficiency is stable, such as the odor concentration after purification being less than or equal to 5 ppm, the rotation speed of the arc-shaped fixing frame 209 should be limited to 30 r / min-45 r / min, the power of the heat exchanger 103 should be less than or equal to two kilowatts, and ineffective energy consumption should be avoided.

[0189] If the purification efficiency fluctuates, such as briefly rising to 10 ppm, the restrictions can be temporarily relaxed. For example, the rotation speed of the arc-shaped fixed frame 209 can be increased to 70 r / min. After the concentration returns to within 5 ppm, it can be gradually reduced to the baseline range within 10 minutes.

[0190] The baseline constraint value is automatically updated monthly, incorporating the latest 90 days of low-energy consumption compliance data to adapt to changes in the long-term operating characteristics of the device.

[0191] Backup control strategies include:

[0192] When the fault diagnosis module detects an anomaly in the corresponding sensor of any key parameter in the operating data, it automatically switches to the parameter estimation control logic based on the historical operating mode, calls historical data from the same operating period to generate a dynamic estimation curve, replaces the real-time data of the failed sensor, and maintains the continuity of the control logic.

[0193] When a continuous deviation is detected between the actual operating speed of the arc-shaped fixing frame 209 and the control command, exceeding the set allowable range, the dual-parameter compensation control strategy of biofilm thickness and odor concentration is activated:

[0194] By analyzing the current combination of bacterial film thickness and odor concentration, the influence trend of response deviation is determined, and corresponding correction commands are executed on the rotation speed of the arc-shaped fixing frame 209. When the bacterial film is too thick or the odor concentration is too high, the rotation speed is increased; when the bacterial film is too thin or the odor concentration is too low, the rotation speed is decreased to compensate for the impact of execution deviation on deodorization performance.

[0195] In this embodiment of the invention, the backup control strategy is implemented as follows:

[0196] When a temperature sensor failure is detected (in this embodiment, the output value is constant at 35℃ for 10 consecutive minutes and the deviation from the sensor values ​​in other areas exceeds 2℃), the temperature change curve of the same period in the past 7 days (such as 9:00-10:00 on the same workday) is automatically retrieved, and a real-time estimated value is generated according to the time series. If the temperature in the same period in history rises from 34℃ to 35℃, the current estimated value is dynamically updated at a rate of 0.1℃ every 10 minutes until the sensor is repaired or replaced. If there are missing or abnormal historical data in the past seven days, the average value of the data in the same working period in the valid historical data of the past set time scale (in this embodiment, the set time scale is the past month) is retrieved as the backup estimation threshold.

[0197] When the rotational speed response deviation of the arc-shaped fixing frame 209 exceeds the allowable threshold (set to ±5 r / min in this embodiment), a dual-parameter compensation control strategy based on the bacterial film thickness and odor concentration is activated: if the current measured bacterial film thickness is 1.6 mm (within the normal range of 0.5 to 2 mm in this embodiment) and the odor concentration is 10 ppm (exceeding the target value of 5 ppm), the rotational speed is increased by an additional 3 r / min based on the original control command; if the bacterial film thickness is greater than 1.8 mm and the odor concentration is less than 5 ppm, the rotational speed is reduced by 4 r / min based on the original command, thus offsetting the impact of the response deviation on the deodorization effect through bidirectional compensation.

[0198] It should be noted that the power of heat exchanger 103 and spray rack 104 is the power of the temperature control device and pump body installed outside the device. The installation and use of heat exchanger 103 and spray rack 104 are existing technologies and will not be described in detail here.

[0199] In this embodiment of the invention, the multi-source data fusion module, intelligent early warning module, adaptive adjustment module, fault diagnosis module, and energy efficiency optimization module are all integrated into the control unit. In this embodiment, the control unit is implemented using an industrial-grade embedded controller, which has the capabilities of multi-channel data acquisition, edge computing, and intelligent logic processing. The controller interacts with the execution unit (such as the external temperature control device of the drive motor 102, the heat exchanger 103, and the external pump of the spray frame 104) through a standard communication interface. This is known in the prior art and will not be described in detail here.

[0200] The above are preferred embodiments of the present invention. The specific parameters in this embodiment are only examples and are not intended to limit the scope of protection of the present invention. Those skilled in the art can make appropriate adjustments to the parameters according to actual needs. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An integrated biological deodorization device for animal housing exhaust gas with enhanced turbulence, comprising a protective shell, a drive motor disposed on the surface of the protective shell, and a heat exchanger and a spray rack disposed above the protective shell, characterized in that, include: An arc-shaped fixing frame is arranged in a ring array inside the protective shell; The bacterial attachment plate is fixedly connected to the receiving groove opened on the surface of the arc-shaped fixing frame; The deodorizing pipe body is fixedly connected inside the protective shell. The arc-shaped fixing frame is arranged in a ring array inside the deodorizing pipe body. The arc-shaped fixing frame abuts against the inner wall of the deodorizing pipe body. An air inlet hopper and an air outlet hopper are fixedly connected to the through grooves symmetrically opened on the surface of the deodorizing pipe body. The multi-source data fusion module is used to collect real-time operating data inside the deodorization tube through sensors. The operating data includes temperature data, humidity data, arc-shaped fixing frame rotation speed data, bacterial film thickness data on bacterial attachment plate, and odor concentration data in animal room exhaust gas. The intelligent early warning module is used to receive the operating data output by the multi-source data fusion module, compare the operating data with historical data, identify abnormal fluctuations in parameters through dynamic threshold criteria, predict deviations in operating status through trend evolution analysis, and generate predictive data containing abnormality types and evolution trends. The adaptive adjustment module is used to dynamically adjust the rotation speed of the arc-shaped fixing frame based on the predicted data output by the intelligent early warning module and the odor concentration deviation value using a closed-loop feedback control strategy; it controls the operation of the heat exchanger and spray frame in conjunction with the predicted values ​​of temperature and humidity; and it triggers a periodic enhanced disturbance program based on the predicted value of the bacterial film growth status to promote bacterial film renewal by increasing the rotation speed of the arc-shaped fixing frame.

2. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 1, characterized in that, The protective shell has a rotating roller rotatably connected inside via a first bearing. The arc-shaped fixing frame is fixedly connected to the surface of the rotating roller in a circular array. The surface of the arc-shaped fixing frame is in contact with the inner wall of the protective shell. The air inlet hopper is equipped with a heat exchanger and a spray frame. The spray frame is located below the heat exchanger, and a number of atomizing nozzles are evenly arranged on the bottom surface of the spray frame.

3. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 2, characterized in that, The drive motor is mounted on the surface of the protective shell via a bracket. A connecting block is fixedly connected to the end of the output shaft of the drive motor. Several drive magnets are fixedly connected to the surface of the connecting block in a circular array. The number of drive magnets corresponds to the number of arc-shaped fixing frames. A magnetic block is fixedly embedded on the side of the arc-shaped fixing frame close to the drive magnet. The arc-shaped fixing frame and the corresponding drive magnet are connected by magnetic coupling.

4. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 3, characterized in that, A sealing door is installed in the rectangular opening on the surface of the protective shell. A slag collection trough is fixedly connected in the slag removal groove on the bottom surface of the deodorizing pipe. The end of the slag collection trough away from the deodorizing pipe extends inside the protective shell to a position close to the sealing door. The area inside the protective shell between the inner wall of the protective shell and the deodorizing pipe is filled with thermal insulation material.

5. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 1, characterized in that, The dynamic threshold criterion includes: Based on the sampling period and time window set by the device, the effective data sequence of each operating parameter in the historical operating cycle is periodically extracted. After removing abnormal data during equipment maintenance or failure, the parameters are statistically analyzed by time period. A dynamic fluctuation range is constructed based on the maximum and minimum values ​​of the same historical period to characterize the allowable fluctuation range of the corresponding parameter under normal operating conditions. When the value of any parameter collected in real time exceeds the dynamic fluctuation range for multiple consecutive sampling periods and the duration reaches a preset threshold, the intelligent early warning module automatically identifies the corresponding parameter as an abnormal state and determines the abnormality level according to its deviation magnitude and duration. The abnormality level is divided into three response levels: slight, moderate, or severe. The abnormality type and deviation level are output to the adaptive adjustment module as an abnormality marker. Based on the deviation magnitude and duration of the abnormal parameter, different levels of response measures are triggered to achieve graded response control.

6. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 1, characterized in that, The trend evolution analysis includes: The allowable range of the rate of change of each parameter under normal operating conditions is determined based on historical operating data. The rate of change is the magnitude of change of the corresponding parameter per unit time. The allowable range is determined based on the average rate of change and the statistical fluctuation magnitude of historical data. The system continuously collects real-time operating data and calculates the rate of change of multiple parameters at a set sampling period. The real-time rate of change is compared with the allowable rate of change range of the corresponding parameter item by item. When the rate of change of any parameter exceeds the allowable range for multiple consecutive sampling periods, or when the trend direction of the real-time data deviates from the allowable range for a long period of time and the magnitude reaches the set tolerance threshold, the intelligent early warning module generates a condition deterioration early warning signal. The warning signal includes the trigger parameter name, deviation direction, deviation duration and deviation level, and is transmitted to the adaptive adjustment module for advance adjustment of the arc-shaped fixing frame speed, temperature control, humidity control or activation of periodic enhanced disturbance program.

7. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 1, characterized in that, The execution of the closed-loop feedback control strategy includes: The deviation between the measured odor concentration and the set target emission concentration is calculated in real time, and the speed adjustment command is dynamically generated based on the duration and rate of change of the deviation. The speed adjustment command is used to control the actual operating speed of the arc-shaped fixing frame, so as to realize the dynamic adjustment of the contact reaction time of the exhaust gas with the bacterial film on the bacterial attachment plate. When the odor concentration is too high, the rotation speed of the arc-shaped fixing frame is increased to accelerate the airflow disturbance and extend the mass transfer contact path of the exhaust gas in the reaction zone. When the odor concentration tends to stabilize or falls below the set target value, the rotation speed of the arc-shaped fixing frame is reduced accordingly to reduce energy consumption and avoid excessive disturbance of the bacterial film. After the rotation speed of the arc-shaped fixing frame is adjusted, new odor concentration data is collected again. The updated deviation value is calculated in real time and it is determined whether further adjustment is needed, thus forming a continuously operating real-time closed-loop control link.

8. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 1, characterized in that, The periodic reinforcement perturbation procedure includes: When the predicted value of the bacterial film thickness reaches or exceeds the preset critical threshold, the disturbance mechanism is activated, and the adaptive adjustment module controls the arc-shaped fixing frame to gradually increase the rotation speed in a step-by-step lifting manner. The stepped lifting method is executed in stages at set time intervals, and the lifting range and duration are adjusted in conjunction with the real-time collected operation data to ensure that the renewal is achieved without damaging the stability of the bacterial film structure. During the perturbation process, the change in the thickness of the bacterial film is continuously monitored. When the predicted value falls back and returns to the set safe range, the perturbation program is immediately terminated, and the rotation speed of the arc-shaped fixing frame is restored to the normal steady-state operating level.

9. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to any one of claims 1, 5, 6, 7, and 8, characterized in that, Also includes: The fault diagnosis module is used to perform real-time validity verification of sensor data during device operation, and to determine whether there are any abnormal situations such as long-term constant data, sudden changes, or significant deviations from data of other similar sensors; at the same time, it monitors whether the response status of the actuator is consistent with the corresponding control command, and determines whether there are any response failures, delays, or logical conflicts. When the diagnostic module identifies any of the above-mentioned anomalies, it immediately triggers the backup control strategy, calls the parameter sequence of the corresponding time period in the historical operation data, and constructs an estimation model to predict and control the current operation status. The energy efficiency optimization module is used to construct a correlation rule model between energy consumption data and exhaust gas purification efficiency data collected during long-term operation of the device, and apply the correlation rule model in real time when the device is in a non-abnormal state to dynamically limit the power of the heat exchanger, the spray frame and the arc-shaped fixed frame drive device, so as to control the energy consumption output range while meeting the purification effect.

10. The integrated biological deodorization device for animal facility exhaust gas with enhanced turbulence according to claim 9, characterized in that, The backup control strategy includes: When the fault diagnosis module detects an anomaly in the corresponding sensor of any key parameter in the operating data, it automatically switches to the parameter estimation control logic based on the historical operating mode, calls historical data from the same operating period to generate a dynamic estimation curve, replaces the real-time data of the failed sensor, and maintains the continuity of the control logic. When a continuous deviation is detected between the actual operating speed of the arc-shaped fixing frame and the control command, exceeding the set allowable range, a dual-parameter compensation control strategy of biofilm thickness and odor concentration is activated: By analyzing the current combination of bacterial film thickness and odor concentration, the influence trend of response deviation is determined, and corresponding correction commands are executed on the rotation speed of the arc-shaped fixing frame. When the bacterial film is too thick or the odor concentration is too high, the rotation speed is increased; when the bacterial film is too thin or the odor concentration is too low, the rotation speed is decreased, in order to compensate for the impact of execution deviation on deodorization performance.

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