Turbulent flow reinforced animal house tail gas integrated biological deodorization device

Abstract

The invention provides a turbulent flow enhanced animal house tail gas integrated biological deodorization device, and relates to the field of biological deodorization, the turbulent flow enhanced animal house tail gas integrated biological deodorization device comprises a protective shell, a driving motor arranged on the surface of the protective shell, a heat exchanger and a spraying frame arranged above the protective shell, an arc-shaped fixing frame, a thallus attachment plate and a deodorization pipe body, the arc-shaped fixing frames are arranged in the deodorization pipe body in an annular array mode, and an air inlet hopper and an air outlet hopper are fixedly connected into through grooves symmetrically formed in the surface of the deodorization pipe body respectively. The multi-source data fusion module, the intelligent early warning module and the self-adaptive adjustment module are used for adjusting the rotating speed of the arc-shaped fixing frame according to prediction data output by the intelligent early warning module; the heat exchanger and the spraying frame are controlled to operate; by integrating intelligent early warning, self-adaptive adjustment and a closed-loop control system, the animal house tail gas deodorization efficiency, stability and energy efficiency are remarkably improved, and meanwhile the maintenance requirement is lowered.

Description

Technical Field

[0001] The invention relates to the technical field of biological deodorization, in particular to an animal room tail gas integrated biological deodorization device with enhanced turbulence. Background Art

[0002] With the development of experimental animal research, especially in the fields of medicine, vaccines, disease models, etc., the construction and operation scale of animal houses has continued to expand; Methods for treating animal house exhaust gases primarily include activated carbon adsorption, chemical scrubbing, and biological filter deodorization. Biological deodorization is widely used due to its low operating costs, lack of secondary pollution, and high treatment efficiency. However, traditional biological deodorization devices, which often utilize fixed filter media or static biofiller structures, have the following shortcomings when faced with complex factors such as large fluctuations in animal house exhaust loads, pronounced circadian rhythms, and sensitive microbial growth conditions: First, due to the drastic changes in exhaust temperature and humidity in animal rooms, traditional devices are unable to adjust the reaction environment in real time, resulting in unstable microbial metabolic efficiency; Second, the biofilm renewal efficiency is low during long-term operation, and the accumulation of microbial metabolites can easily lead to carrier blockage or inactivation; 3. Existing control systems are mostly passive control or fixed operating conditions, lacking a dynamic response mechanism to odor fluctuations. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an integrated biological deodorization device for animal room exhaust with enhanced turbulence. By integrating intelligent early warning, adaptive adjustment and closed-loop control systems, the efficiency, stability and energy efficiency of animal room exhaust deodorization are significantly improved, while reducing maintenance requirements.

[0004] In order to solve the above technical problems, the technical solutions of the present invention are as follows: The integrated biological deodorization device for animal house exhaust with enhanced turbulence comprises a protective shell, a driving motor is provided on the surface of the protective shell, a heat exchanger and a spray rack are provided above the protective shell, and includes: An arc-shaped fixing frame, with a circular array, is arranged inside the protective shell; The bacterial attachment plate is fixedly connected to the receiving groove provided on the surface of the arc-shaped fixing frame; The deodorizing tube body is fixedly connected to the interior of the protective shell, the arc-shaped fixing frame is arranged in a circular array inside the deodorizing tube body, the arc-shaped fixing frame conflicts with the inner wall of the deodorizing tube body, and the through grooves symmetrically opened on the surface of the deodorizing tube body are respectively fixedly connected to the air inlet hopper and the air outlet hopper; 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, arc fixing frame speed data, bacterial attachment plate film thickness data and odor concentration data in the animal room exhaust gas.

[0005] An 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 parameter fluctuations through dynamic threshold judgment, predict operating state deviations through trend evolution analysis, and generate prediction data including abnormality types and evolution trends; The adaptive adjustment module is used to dynamically adjust the rotation speed of the arc-shaped fixed frame based on the prediction data output by the intelligent early warning module and the odor concentration deviation value using a closed-loop feedback control strategy; to control the operation of the heat exchanger and spray rack based on the temperature prediction value and the humidity prediction value; and to trigger the periodic enhanced disturbance program according to the predicted value of the biofilm growth status, thereby promoting biofilm renewal by increasing the rotation speed of the arc-shaped fixed frame.

[0006] Furthermore, the interior of the protective shell is rotatably connected to a roller via a first bearing, the arc-shaped fixing frame is fixedly connected to the surface of the roller in a circular array, the surface of the arc-shaped fixing frame fits against the inner wall of the protective shell, a heat exchanger and a spray rack are installed inside the air inlet hopper, the spray rack is arranged below the heat exchanger, and a number of atomizing nozzles are evenly arranged on the bottom surface of the spray rack.

[0007] Furthermore, the driving motor is mounted on the surface of the protective shell through a bracket, and the end of the output shaft of the driving motor is fixedly connected to a connecting round block, and the surface of the connecting round block is fixedly connected to a plurality of driving magnets in a circular array, and the number of the driving magnets corresponds to the number of the arc-shaped fixing frames, and the side of the arc-shaped fixing frames close to the driving magnets is fixedly inlaid with magnetic blocks, and the arc-shaped fixing frames are connected to the corresponding driving magnets through magnetic coupling.

[0008] Furthermore, a sealed door is installed in the rectangular opening opened on the surface of the protective shell, and a slag collecting groove is fixedly connected to the slag removal groove opened on the bottom surface of the deodorizing tube body. One end of the slag collecting groove away from the deodorizing tube body extends inside the protective shell to a position close to the sealed door, and the area inside the protective shell between the inner wall of the protective shell and the deodorizing tube body is filled with insulation material.

[0009] Furthermore, the dynamic threshold criterion includes: Based on the sampling period and time window set by the device, the valid data sequence of each operating parameter of the device in the historical operating period is regularly extracted. After eliminating the abnormal data during equipment maintenance or failure, the parameters are statistically analyzed by time period, and 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 abnormal level according to its deviation amplitude and duration. The abnormal level is divided into three response levels: mild, medium or severe; the abnormal type and deviation level are output to the adaptive adjustment module as abnormal marks, and different levels of response measures are triggered according to the deviation amplitude and duration of the abnormal parameter to achieve hierarchical response control.

[0010] Furthermore, the trend evolution analysis includes: Determine the permissible range of the rate of change of each parameter under normal operating conditions based on historical operating data. The rate of change is the amplitude of change of the corresponding parameter per unit time. The permissible range is determined based on the average rate of change and the statistical fluctuation amplitude of the historical data. Continuously collect real-time operating data and calculate the change rates of multiple parameters at a set sampling period. The real-time change rates are compared item by item with the allowable change rate range of the corresponding parameters. When the change rate of any parameter exceeds the allowable range for multiple consecutive sampling periods, or the trend direction of the real-time data deviates from the allowable range for a long time and the amplitude reaches the set tolerance threshold, the intelligent early warning module generates an early warning signal for operating condition degradation; The warning signal includes the trigger parameter name, deviation direction, deviation duration and deviation degree level, and is transmitted to the adaptive adjustment module for adjusting the arc fixing frame speed, temperature control, humidity control or activating the periodic enhanced disturbance program in advance.

[0011] Furthermore, the execution of the closed-loop feedback control strategy includes: Calculate the deviation between the measured odor concentration and the set target emission concentration in real time, and dynamically generate speed adjustment instructions based on the duration and change rate of the deviation; The speed adjustment instruction is used to control the actual operating speed of the arc-shaped fixing frame, so as to achieve 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 high, the rotation speed of the arc-shaped fixing frame is increased to accelerate the air flow disturbance and extend the mass transfer contact path of the tail gas in the reaction zone; When the odor concentration tends to be stable or lower than the set target value, the speed of the arc-shaped fixed frame is reduced accordingly to reduce energy consumption and avoid excessive disturbance of the biofilm; The arc-shaped fixed frame speed is adjusted again to collect new odor concentration data, the updated deviation value is calculated in real time, and it is judged whether further adjustment is needed, so as to form a continuously running real-time closed-loop control link.

[0012] Further, the periodic reinforcement disturbance program comprises: When the predicted value of the bacterial film thickness reaches or exceeds the preset critical threshold, the disturbance mechanism is started, and the arc-shaped fixed frame is controlled by the adaptive adjustment module to gradually increase the speed in a step-by-step manner; The step-by-step manner is executed in stages at a set time interval, and the lifting amplitude and duration are adjusted in linkage with the real-time collected operation data to ensure updating without destroying the stability of the bacterial film structure; During the disturbance execution process, the change state of the bacterial film thickness is continuously monitored, and when the predicted value falls back and restores to the set safety range, the disturbance program is immediately terminated, and the speed of the arc-shaped fixed frame is restored to the normal steady-state operation level.

[0013] Further, it further comprises: The fault diagnosis module is used for real-time validity verification of sensor data during device operation, to judge whether there is an abnormal condition of constant data for a long time, mutation or significant deviation from other similar sensor data; and to monitor whether the response state of the execution component is consistent with the corresponding control instruction, to judge whether there is a response failure, lag or logic conflict problem; When the diagnosis module identifies any of the above-mentioned abnormalities, the standby control strategy is triggered, the parameter sequence of the corresponding period in the historical operation data is called, and an estimation model is constructed to predict and control the current operation state; The energy efficiency optimization module is used for constructing an association rule model between energy consumption data and tail gas purification efficiency data collected during long-term operation of the device, and applying the association 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 driving device, so as to control the energy consumption output range under the premise of meeting the purification effect.

[0014] Further, the standby control strategy comprises: When the fault diagnosis module identifies that any key parameter in the operation data has an abnormal sensor, the parameter estimation control logic based on the historical operation mode is automatically switched to, the historical data of the same operation period is called to generate a dynamic estimation curve, to replace the real-time data of the failed sensor and maintain the continuity of the control logic; When it is monitored that there is a persistent deviation between the actual running speed of the arc-shaped fixed frame and the control instruction and it exceeds the set allowed range, a double-parameter compensation control strategy of bacterial film thickness-odor concentration is enabled: By analyzing the current biofilm thickness and odor concentration combination state to judge the influence trend of response deviation, corresponding correction instructions are executed on the rotating speed of the arc-shaped fixing frame, the rotating speed is increased when the biofilm is too thick or the odor concentration is too high, and the rotating speed is reduced when the biofilm is too thin or the odor concentration is too low, so as to compensate the influence of execution deviation on the deodorization performance.

[0015] The above scheme of the present application at least includes the following beneficial effects: The above scheme of the present application, through the multi-source data fusion module and the adaptive adjustment module, collects temperature, humidity and other data in real time, and controls the heat exchanger and the spraying frame in linkage, ensures that the microorganisms always run under the optimal culture condition, improves the metabolic efficiency and deodorization stability; Through the dynamic threshold criterion and trend evolution analysis of the intelligent early warning module, the parameter abnormality is predicted, and the early warning signal is generated, so that the hierarchical response control is realized, and the device failure risk is reduced; Based on the biofilm thickness prediction value, a periodic reinforcement disturbance program is triggered, the rotating speed of the arc-shaped fixing frame is promoted in steps to promote the shedding of the aged biofilm, while the active bacteria are reserved, so that the carrier is prevented from being blocked and inactivated; The PID control algorithm is adopted to dynamically adjust the rotating speed of the arc-shaped fixing frame, and the tail gas inlet amount is combined to adjust the mechanism, so that the odor concentration deviation is quickly responded, and the purification efficiency is improved; The energy efficiency optimization module dynamically limits the equipment power based on historical energy consumption data, reduces the operation energy consumption; the fault diagnosis module enables the standby control strategy, ensures that the device continuously runs when the sensor or the execution component is abnormal, and enhances the reliability. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is the overall structure schematic diagram provided by the present application.

[0017] Figure 2 It is the schematic diagram of the driving magnet in the present application.

[0018] Figure 3 It is the schematic diagram of the atomizing nozzle in the present application.

[0019] Figure 4 It is the schematic diagram of the slag collecting groove in the present application.

[0020] Figure 5 It is the schematic diagram of the bacteria body attachment plate in the present application.

[0021] In the figure: 101, protective shell; 102, driving motor; 103, heat exchanger; 104, spraying frame; 1011, first recess; 1012, second recess; 201. Deodorizing pipe body; 202. Air inlet hopper; 203. Air outlet hopper; 204. Atomizing nozzle; 205. Driving magnet; 206. Connecting block; 208. Roller; 209. Arc-shaped fixing frame; 210. Bacteria attachment plate; 211. Slag collecting trough; 212. Sealing door. DETAILED DESCRIPTION

[0022] The following describes exemplary embodiments of the present disclosure in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0023] like Figures 1 to 5 As shown, an embodiment of the present invention provides an integrated biological deodorization device for animal house exhaust with enhanced turbulence, including a protective shell 101, a driving motor 102 is provided on the surface of the protective shell 101, and a heat exchanger 103 and a spray rack 104 are provided above the protective shell 101, including: The arc-shaped fixing frame 209 is arranged in a circular array inside the protective shell 101; The bacterial attachment plate 210 is fixedly connected to the receiving groove opened on the surface of the arc-shaped fixing frame 209; The deodorizing tube body 201 is fixedly connected to the interior of the protective shell 101. The arc-shaped fixing brackets 209 are arranged in a circular array inside the deodorizing tube body 201. The arc-shaped fixing brackets 209 conflict with the inner wall of the deodorizing tube body 201. The air inlet hopper 202 and the air outlet hopper 203 are fixedly connected to the through grooves symmetrically provided on the surface of the deodorizing tube body 201. In the embodiment of the present invention, when the animal room exhaust gas is being treated, the animal room exhaust gas that has been preliminarily filtered (filtering large particles of impurities to reduce damage to the bacterial attachment plate 210) is pumped into the air inlet hopper 202 by the air pump device, and the arc-shaped fixing frame 209 is driven by the driving motor 102 to rotate around the center of its array inside the deodorizing pipe body 201; The exhaust gas from the animal room enters the deodorizing pipe body 201 through the air inlet 202, flows along the inner wall of the deodorizing pipe body 201 to the inside of the air outlet 203, and is discharged through the 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 the arc-shaped fixing frame 209. When the exhaust gas concentration is high, the rotation speed of the arc-shaped fixing frame 209 is increased so that the exhaust gas passes through more bacterial attachment plates 210 for treatment; When the exhaust gas concentration is low, the rotation speed of the arc-shaped fixing frame 209 is reduced to reduce the number of bacteria attachment plates 210 that the exhaust gas passes through, thereby reducing the power consumption of the device.

[0024] The interior of the protective shell 101 is rotatably connected to a roller 208 via a first bearing. An arc-shaped fixing frame 209 is fixedly connected to the surface of the 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. The heat exchanger 103 and the spray rack 104 are installed inside the air inlet hopper 202. The spray rack 104 is arranged below the heat exchanger 103. A plurality of atomizing nozzles 204 are evenly arranged on the bottom surface of the spray rack 104. In the embodiment of the present invention, a first recess 1011 and a second recess 1012 are integrally formed inside the protective shell 101. The second recess 1012 is used to accommodate the first bearing. The inner wall of the first recess 1011 fits the surface of the arc-shaped fixing frame 209. The provision of the first recess 1011 facilitates the fixation of the deodorizing tube body 201. After the exhaust gas enters the air inlet scoop 202, it moves in an arc around the central axis of the deodorizing tube body 201 in the area enclosed by the first recess 1011 and the inner wall of the deodorizing tube body 201 until it enters the interior of the air outlet scoop 203 and is discharged through the air outlet scoop 203. The rotation of the roller 208 drives the arc-shaped fixing frame 209 to rotate to adjust the number of arc-shaped fixing frames 209 through which the exhaust gas passes. After the exhaust gas enters the air inlet hopper 202, the heat exchanger 103 heats the exhaust gas to a set temperature. At the same time, after being combed by the heat exchanger 103, the exhaust gas is evenly blown toward the spray rack 104. When the humidity environment inside the deodorizing tube body 201 needs to be adjusted, the atomizing nozzle 204 at the bottom of the spray rack 104 evenly blows out atomized water. The exhaust gas rectified by the heat exchanger 103 passes through the spray rack 104 again and is blown toward the bacteria attachment plate 210 with the atomized water to replenish the bacteria attachment plate 210 with water. When it is necessary to supplement the bacteria attachment plate 210 with corresponding nutrients, a nutrient solution of corresponding concentration can be added to the atomized water and sprayed out through the atomizing nozzle 204. The heat exchange medium circulates through the liquid inlet and liquid outlet of the heat exchanger 103, and cooperates with the temperature control device arranged outside the device to allow the exhaust gas to pass through the surface of the heat exchanger 103 to participate in heat exchange. A cavity for liquid circulation is opened inside the spray rack 104, and the atomizing nozzle 204 is installed in the reserved mounting hole at the bottom of the spray rack 104. The atomizing nozzle 204 is connected to the interior of the spray rack 104. Water or nutrient solution is pumped into the interior of the spray rack 104 through a pump body arranged outside the device. This is well known in the prior art and will not be described in detail here.

[0025] The driving motor 102 is installed on the surface of the protective shell 101 through a bracket. The end of the output shaft of the driving motor 102 is fixedly connected to a connecting block 206. The surface of the connecting block 206 is fixedly connected to a number of driving magnets 205 in a circular array. The number of driving magnets 205 corresponds to the number of arc-shaped fixing frames 209. The side of the arc-shaped fixing frame 209 close to the driving magnet 205 is fixedly inlaid with a magnetic block. The arc-shaped fixing frame 209 is connected to the corresponding driving magnet 205 through magnetic coupling.

[0026] In an embodiment of the present invention, in the process of rotating the arc-shaped fixing frame 209 around the central axis of the deodorizing tube body 201, the driving motor 102 is powered on and the operation of the driving motor 102 drives the connecting circle 206 to rotate. The rotation of the connecting circle 206 causes the arc-shaped fixing frame 209 to rotate synchronously through the magnetic attraction between the internal magnetic block and the driving magnet 205.

[0027] A sealed door 212 is installed in the rectangular opening opened on the surface of the protective shell 101, and a slag collecting groove 211 is fixedly connected to the slag removal groove opened on the bottom surface of the deodorizing tube body 201. The end of the slag collecting groove 211 away from the deodorizing tube body 201 extends inside the protective shell 101 to a position close to the sealed door 212. The area inside the protective shell 101 between the inner wall of the protective shell 101 and the deodorizing tube body 201 is filled with insulation material.

[0028] In an embodiment of the present invention, inside the deodorizing tube body 201, the water mist or nutrient solution injected into the deodorizing tube body 201 accumulates toward the bottom of the deodorizing tube body 201 under the action of the centrifugal force of the rotation of the arc-shaped fixing frame 209 and the action of gravity. 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 toward the bottom of the deodorizing tube body 201 as the arc-shaped fixing frame 209 rotates. The accumulated liquid and bacterial film fall into the inside of the slag collecting tank 211. The accumulated materials inside the slag collecting tank 211 can be cleaned by opening the sealing door 212 and using a cleaning device such as a brush.

[0029] It should be noted that the upper surface of the protective shell 101 is provided with reserved slots corresponding to the air outlet scoop 203 and the air inlet scoop 202 , so as to facilitate the installation of the air inlet scoop 202 and the air outlet scoop 203 .

[0030] The multi-source data fusion module is used to collect the operating data in the deodorizing pipe body 201 in real time through sensors. The operating data includes temperature data, humidity data, speed data of the arc fixing frame 209, thickness data of the bacterial film of the bacterial attachment plate 210 and odor concentration data in the exhaust gas of the animal room.

[0031] The intelligent early warning module receives the operating data output by the multi-source data fusion module, compares the operating data with historical data, identifies abnormal parameter fluctuations through dynamic threshold judgment, predicts operating status deviations through trend evolution analysis, and generates prediction data including abnormality types and evolution trends; The adaptive adjustment module is used to dynamically adjust the rotation speed of the arc-shaped fixed frame 209 based on the prediction data output by the intelligent early warning module and the odor concentration deviation value using a closed-loop feedback control strategy; to control the operation of the heat exchanger 103 and the spray frame 104 based on the temperature prediction value and the humidity prediction value; and to trigger the periodic enhanced disturbance program according to the prediction value of the biofilm growth state, thereby promoting the biofilm renewal by increasing the rotation speed of the arc-shaped fixed frame 209.

[0032] In the embodiment of the present invention, it is applied to an SPF-grade mouse animal room, with a single batch feeding capacity of about 500 to 1000 mice, 15 to 20 ventilation times per day, and the main component of the tail gas adopts a composite biofilm system. The specific bacterial composition and culture parameters are as follows: The core bacterial species are: Pseudomonas putida, Thiobacillus denitrificans, and Acinetobacter lwoffii. The three bacterial species are inoculated on the surface of the polyurethane sponge carrier at a ratio of 3:2:1. In this embodiment, the bacterial attachment plate 210 is made of polyurethane sponge. The culture temperature was set at 35°C (this temperature can simultaneously meet the metabolic activity requirements of the three bacterial species); The culture humidity is set at 70% (this humidity condition can maintain the water balance of the biofilm); The multi-source data fusion module collects real-time operating data of the bacteria attachment plate 210 inside the deodorizing tube 201 through the sensor cluster deployed inside the protective shell 101 and the air inlet 202. Specifically, it includes: The temperature data inside the deodorizing tube body 201 is collected by an armored thermocouple sensor; The humidity data inside the deodorizing tube body 201 is collected by a capacitive humidity sensor; The rotation speed data of the arc-shaped fixing frame 209 is collected by a Hall effect rotation speed sensor; The biofilm thickness data on the surface of the bacterial attachment plate 210 is collected by a laser displacement sensor; The odor concentration data of the animal room exhaust gas before entering the device was collected by gas chromatography-mass spectrometry.

[0033] The above operating data is converted by the analog-to-digital converter and uniformly transmitted to the multi-source data fusion module for standardized processing; After receiving the standardized operating data output by the multi-source data fusion module, the intelligent early warning module calls the historical operating data of the set time window in the storage unit for comparative analysis (in this embodiment, the historical operating data of the past 30 days is called). The specific execution includes: Step S1, comparing each parameter in the operating data with the parameter sequence of the same period in history (the same period in this embodiment refers to the same season and the same operating period) point by point; Step S2: Calculate the real-time fluctuation range of each parameter using a sliding window algorithm. When the fluctuation range of a parameter exceeds the historical fluctuation range for a set number of consecutive sampling periods (in this embodiment, the number of consecutive times is set to 5 times and the sampling period is set to 1 minute), an abnormal flag is activated. Step S3 uses a linear regression model to predict the changing trends of operating data for a set period of time in the future. The linear regression model is a univariate linear fit, building a prediction model based on the time series changes of a single parameter. The prediction model coefficients are updated every 24 hours. Based on the past 30 days of historical data, the least squares method is used to refit and overwrite the old model. In this embodiment, the linear regression model uses the historical operating 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.

[0034] In this embodiment, constructing a prediction model includes the following steps: Step S061: Select the odor concentration data from 7:00-9:00, 17:00-19:00 (peak exhaust emission period), and 12:00-14:00 (stable period) every day for the past 30 days, and record it every 5 minutes to ensure that the concentration variation characteristics under different working conditions are covered; Step S062: remove obvious outliers, fill in missing data through linear interpolation, and convert all concentration values ​​into percentages relative to the target emission concentration to facilitate unified analysis; 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.); In step S064, a univariate linear fitting relationship is established with time as the independent variable (indicated by serial numbers 1, 2, 3, ...) and odor concentration as the dependent variable, that is, a straight line that best represents the trend of concentration change over time is found through these data. 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 change pattern of concentration with increasing time numbers is determined through fitting.

[0035] In step S065, based on the past 30 days of historical data, the coefficients of the univariate linear model (i.e., the slope and intercept of the line) are calculated using the least squares method. Specifically, the coefficients are found 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 trends.

[0036] Step S066, the update program is automatically triggered at 0:00 every day to retrieve the latest 30 days of historical data (excluding 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, overwriting the old coefficients to ensure that the model can reflect the latest change trends.

[0037] Step S067: Use data that has not been used in the prediction model construction in the past 7 days for verification. If the average deviation rate for 7 consecutive 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 and refit.

[0038] The intelligent early warning module predicts the trend of device operation through a linear regression model. The specific prediction method is as follows: First, taking the current moment as the benchmark, the data of the previous 10 minutes are continuously collected every minute as input, that is, a total of 10 data points, which are input into the linear regression model to predict the changing trend of the temperature, humidity, and odor concentration parameters every minute in the next hour.

[0039] At the same time, to establish a theoretical trend line under normal operating conditions, the intelligent early warning module uses the data from the same time period every day for the past 30 consecutive days (for example, 60 data points between 9 and 10 a.m. every day, one collected every minute) as the basis, and uses the same linear regression method to establish trend lines for the historical data of this period on a daily basis. The predicted values ​​of these 30 trend lines are then averaged minute by minute to form a standard theoretical trend line representing normal operating conditions.

[0040] 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 above-mentioned standard theoretical trend line, and the relative percentage difference between the predicted value and the theoretical value at each moment is calculated. The percentage difference is calculated as the numerical difference between the predicted value and the theoretical trend value divided by the theoretical trend value.

[0041] When the relative percentage difference between the predicted value and the theoretical trend value at any future moment exceeds ±5%, the module marks the corresponding moment as a trend anomaly and further defines it as one or more of the following anomaly types based on how the difference occurs: When the temperature prediction value at multiple consecutive moments (set as 3 in this embodiment) is higher than the theoretical trend value and the percentage difference exceeds +5%, it is marked as "temperature rises rapidly"; When the humidity forecast value is lower than the theoretical trend value for multiple consecutive moments (set as 3 in this embodiment) and the percentage difference exceeds -5%, it is marked as "humidity continues to decline"; When the odor concentration prediction value is higher or lower than the theoretical trend value for multiple consecutive moments (set as 3 in this embodiment) and the fluctuation range exceeds ±5%, it is marked as "odor fluctuation enhancement".

[0042] Finally, the intelligent early warning module generates clear trend prediction data according to these abnormal markers, including the above clear abnormal types and the change trend data of each parameter within the next 30 minutes, and transmits them to the adaptive adjustment module as the input basis for control actions.

[0043] The adaptive adjustment module executes according to the prediction data output by the intelligent early warning module: According to the deviation value of the actual odor concentration and the target emission concentration, the PID control algorithm is used to dynamically adjust the speed of the arc-shaped fixed frame 209.

[0044] The specific implementation is: Under the condition that the device is stably working at the set initial speed (30 r / min in this embodiment), the value of the odor concentration in the device is measured in real time after stabilization (for example, stabilized at 100 ppm). Under this stable condition, the speed of the device is increased by a certain value (for example, 5 revolutions per minute), and then the change of the odor concentration in the device over time is continuously measured to obtain the odor concentration response curve data. After the above response curve is determined, the critical proportional coefficient and the critical period of the device are determined by the following specific implementation method: The set value of the proportional coefficient is gradually increased, and the initial value can be a small proportional coefficient value (for example, starting from a proportional coefficient of 1.0), and then the proportional coefficient is increased by a certain fixed step (for example, increasing by 0.5 each time).

[0045] After adjusting the proportional coefficient each time, the state of the odor concentration in the device over time is observed. When the proportional coefficient increases to a certain determined value, the odor concentration in the device begins to show obvious and stable periodic fluctuations (i.e., the device enters a critical oscillation state). At this time, the corresponding proportional coefficient is the critical proportional coefficient of the device, and the period experienced by the corresponding odor concentration fluctuation is the critical period.

[0046] For example, under the above determination method, when the proportional coefficient is increased to 3.0, the odor concentration in the device first shows stable and continuous periodic fluctuations, and the duration of the periodic fluctuations of the odor concentration recorded at this time (the interval from one peak to the next peak) is determined to be 20 seconds. Therefore, under the typical working conditions of this embodiment, the critical proportional coefficient of the device can be determined to be 3.0 and the critical period can be determined to be 20 seconds by this method.

[0047] Based on the above critical proportional coefficient (for example, 3.0) and critical period (for example, 20 seconds), the standard PID parameter determination method is used for calculation, and the specific calculation method is: The proportional coefficient value is determined to be 0.6 times the critical proportional coefficient (3.0), and thus the proportional coefficient is calculated to be 1.8. The integral coefficient value is determined as the above proportional coefficient (1.8) divided by half (10 seconds) of the critical period (20 seconds), which is calculated to be 0.18; The differential coefficient value is determined as the proportional coefficient (1.8) multiplied by one eighth of the critical period (20 seconds) (2.5 seconds), which is calculated to be 4.5.

[0048] When there is a deviation between the odor concentration detected by the device in real time and the target concentration, the device will adjust the speed by 1.8 rpm for every 1 ppm concentration deviation to quickly correct the deviation; 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 speed by an additional 0.18 rpm based on the current speed to gradually eliminate the continuous deviation.

[0049] During the real-time monitoring of odor concentration changes, when the deviation change rate reaches 1ppm / s, the device will respond in advance and adjust the speed by an additional 4.5 rpm to prevent the concentration from further deviating from the target value.

[0050] When the temperature prediction value is higher than the current set value by more than the preset threshold, or the humidity prediction value is lower than the current set value by more than the preset threshold, the cooling mode of the heat exchanger 103 is turned on or the humidification mode of the spray rack 104 is turned on until the prediction value returns to the set range; in this embodiment, the temperature setting value is 35°C, the temperature preset threshold is set to 0 to 2°C, the humidity setting value is 70%, and the humidity preset threshold is 0 to 5%.

[0051] In this embodiment, based on the exhaust characteristics of an SPF-grade mouse animal room (the peak ammonia concentration in the odor is approximately 150 ppm, with peak emissions occurring between 7:00-9:00 and 17:00-19:00 daily), when the measured odor concentration exceeds the target emission concentration (5 ppm), the speed adjustment logic of the arc-shaped mounting frame 209 is adapted to the mouse activity rhythm. During the peak emission period, the speed adjustment response sensitivity of the arc-shaped mounting frame 209 is increased by 20%, specifically by increasing the PID parameter value by 20%. Temperature and humidity linkage control adapts to bacterial species characteristics: When the predicted temperature exceeds 35°C and deviates from the threshold by 1°C, the heat exchanger 103 is activated to reduce the internal temperature of the deodorizing tube 201 to 34°C±0.5°C through heat exchange; when the predicted humidity is below 70% and deviates from the threshold by 5%, the spray rack 104 is activated, increasing the humidity by 2% per hour until it returns to the range of 70%±2%. The biofilm renewal program is optimized based on the characteristics of composite bacterial species: when the predicted biofilm thickness dominated by Acinetobacter lwoffii reaches 1.8 mm, the rotation speed of the arc-shaped fixed frame 209 is increased to 60 r / min and lasts for 30 minutes. When the predicted value of the general biofilm thickness is greater than or equal to 2 mm (the preset safety threshold), the periodic enhanced disturbance program is triggered, and the rotation speed is increased stepwise to 80 r / min. This operation can effectively remove aged biofilms (mainly Acinetobacter lwoffii on the surface) while retaining the more active Pseudomonas putida and Denitrifying Thiobacillus at the bottom.

[0052] When the predicted biofilm thickness reaches a preset safety threshold (set to 2 mm in this embodiment) or the dominant thickness of Bacillus ruxiliformis reaches 1.8 mm, an enhanced disturbance program is triggered every set time interval, increasing the 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 continuing to run for a set time (set to 30 minutes in this embodiment) to promote the shedding of the aged biofilm.

[0053] In the PID control logic, when the speed of the arc-shaped fixing frame 209 is gradually increased to a speed close to the disturbance speed (60 r / min) through closed-loop feedback regulation, and the predicted biofilm thickness value does not reach the preset safety threshold, the device activates the coordinated regulation mechanism of the exhaust gas intake to reduce excessive disturbance to the biofilm. In this embodiment, the specific implementation of the coordinated regulation mechanism of the exhaust gas intake amount is as follows: Step S071: Set the critical speed threshold of the arc-shaped fixing frame 209 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 55 r / min or above for three consecutive sampling periods, the exhaust gas intake adjustment program is triggered. Step S072: Calculate the adjustment ratio based on the difference between the current rotation speed of the arc-shaped fixing frame 209 and the disturbance rotation speed: When the current speed is 55r / min to 57r / min, the exhaust gas intake is reduced by 10% compared with the current basic value; When the current speed is 58r / min to 60r / min, the exhaust gas intake is reduced by 20% compared with the current basic value; Among them, the basic value is the stable exhaust gas intake when the speed is lower than 55r / min; Step S073, the change of the odor concentration after the adjustment of the tail gas input amount is monitored in real time. If the odor concentration can still be maintained below the target emission concentration under the condition that the rotation speed is close to 60 r / min and the tail gas input amount is reduced, the current adjustment ratio is maintained. If the odor concentration appears a rising trend, the adjustment of the tail gas input amount is suspended, and the rotation speed of the arc-shaped fixing frame 209 is further fine-tuned by the PID algorithm (the maximum is not more than 60 r / min), until the odor concentration returns to the target range, and then the tail gas input amount is adjusted according to the corresponding ratio. Step S074, when the rotation speed of the arc-shaped fixing frame 209 is reduced to below 55 r / min due to the subsequent reduction of the odor concentration, the tail gas input amount is restored by 5% every 2 minutes until the rotation speed returns to the normal range (less than 55 r / min) and is completely restored to the basic value.

[0054] It should be noted that in the embodiment of the present application, the animal house tail gas is mainly composed of volatile organic compounds such as ammonia, hydrogen sulfide, methyl mercaptan, etc., and each component has different metabolic sources and fluctuation characteristics. In order to ensure the comprehensiveness and stability of odor treatment, the "odor concentration" is used as the basic monitoring index, and a multi-component concentration sub-item monitoring mechanism is introduced. The individual concentration values of each target pollutant component are collected in real time by a multi-channel sensor. In the control strategy, in order to ensure that the weakest component in the deodorization effect can also meet the emission standard, the "sub-item minimum control value" mechanism is set, that is, the measured concentration of the current monitoring of the main odor components such as ammonia, hydrogen sulfide and methyl mercaptan is compared with the target emission concentration set for each component, and the one that deviates the most from the target is taken as the key control parameter in the current control period. Using the total odor concentration can quickly respond while ensuring that the emission compliance is not misjudged due to the "dilution" of a certain component, and the stability and safety of the overall deodorization system are enhanced.

[0055] 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 of the device in the historical operating period is extracted regularly. After excluding abnormal data during equipment maintenance or failure, each parameter is statistically analyzed by time period. The dynamic fluctuation interval is constructed according to the maximum and minimum values of the same period in history, which is used to describe the allowed fluctuation range of the corresponding parameter under normal working conditions. When the value of any parameter collected in real time exceeds the dynamic fluctuation interval for a plurality of consecutive sampling periods and the duration reaches a preset threshold, the intelligent early warning module automatically identifies that the corresponding parameter is in an abnormal state, and determines the abnormal level according to the deviation amplitude and duration. The abnormal level is divided into three response levels: slight, medium or severe. The abnormal type and deviation level are output to the adaptive adjustment module as an abnormal marker. According to the deviation amplitude and duration of the abnormal parameter, different levels of response measures are triggered to realize graded response control.

[0056] In this embodiment of the present invention, dynamic fluctuation ranges are established for each parameter within a historical period. These ranges are established by extracting historical operating data on a monthly basis, excluding data from periods of equipment maintenance and failure. The mean and standard deviation of each parameter during the same operating period (e.g., 9:00-10:00 daily) are calculated, and the dynamic fluctuation range is defined as the mean ±2 times the standard deviation. This range is automatically updated monthly. In this embodiment, the temperature fluctuation range is 34-36°C, the humidity fluctuation range is 65%-75%, the speed fluctuation range of the curved mounting bracket 209 is 25-60 rpm, the biofilm thickness fluctuation range is 0.5-2 mm, and the odor concentration fluctuation range entering the air inlet duct 202 is 50-150 ppm. If any parameter in the real-time operating data continuously exceeds the corresponding range for a preset duration (set to 5 minutes in this embodiment), it is marked as abnormal.

[0057] Specifically, the hierarchical response control classifies parameter abnormalities into three response levels: minor abnormality, moderate abnormality, and severe abnormality, based on the magnitude and duration of the real-time operating data exceeding the dynamic fluctuation range: Minor abnormality: If the real-time parameter deviates from the dynamic fluctuation range by less than 10% and lasts for less than 10 minutes, only monitoring and warning will be activated, and the operating parameters will not be changed; Moderate abnormality: If the real-time parameters deviate from the dynamic fluctuation range by 10% to 20%, or the deviation lasts for more than 10 minutes but less than 30 minutes, the system will automatically trigger appropriate fine-tuning of the temperature, humidity, and speed parameters. Severe abnormality: When the real-time parameters deviate from the dynamic fluctuation range by more than 20%, or the continuous over-limit time exceeds 30 minutes, the comprehensive emergency control will be automatically activated, including immediate adjustment of the speed, activation of the backup control strategy and fault diagnosis alarm.

[0058] Trend evolution analysis includes: 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 amplitude of change of the corresponding parameter per unit time. The allowable range is determined based on the average rate of change of historical data and the statistical fluctuation amplitude. Continuously collect real-time operating data and calculate the change rates of multiple parameters at a set sampling period. The real-time change rates are compared item by item with the allowable change rate range of the corresponding parameters. When the change rate of any parameter exceeds the allowable range for multiple consecutive sampling periods, or the trend direction of the real-time data deviates from the allowable range for a long time and the amplitude reaches the set tolerance threshold, the intelligent early warning module generates an early warning signal for operating condition degradation; The early warning signal includes the trigger parameter name, deviation direction, deviation duration and deviation degree level, and is transmitted to the adaptive adjustment module for adjusting the speed, temperature control, humidity control of the arc fixing frame 209 in advance or activating the periodic enhanced disturbance program.

[0059] In this embodiment of the present invention, the permissible range for the rate of change of each parameter under normal operating conditions is determined based on historical data. In this embodiment, the temperature must not fluctuate more than ±2°C per hour, the humidity must not fluctuate more than ±5%, and the odor concentration must not fluctuate more than ±20 ppm per hour. Real-time data is continuously collected and the rate of change is calculated. If the real-time rate of change exceeds the permissible range for multiple consecutive sampling periods (three in this embodiment) (one minute in this embodiment), or if the trend of change continuously deviates from the permissible range in the direction and magnitude that reaches the set tolerance threshold, an operating condition deterioration warning signal is generated.

[0060] The historical operating data is automatically recalculated and updated every set period (set to the last 30 days in this embodiment) to adapt to seasonal or long-term changes in the operating conditions of the device; In this embodiment, the range update rule is allowed to be executed once a month. The execution method includes: Step S011, extracting valid operating data of parameters in the past 30 days (excluding data during equipment maintenance and sensor failure); Step S012, calculating the mean and standard deviation of each parameter; Step S013, setting the normal fluctuation range to the sum of the mean and two standard deviations as the upper limit and the difference between the mean and two standard deviations as the lower limit as the new allowable range; Step S014, updating the device threshold table and replacing the old parameter configuration; Step S015: The new threshold value record is archived for use in trend evolution analysis.

[0061] The execution of the closed-loop feedback control strategy includes: Calculate the deviation between the measured odor concentration and the set target emission concentration in real time, and dynamically generate speed adjustment instructions based on the duration and change rate of the deviation; The speed adjustment instruction is used to control the actual operating speed of the arc-shaped fixing frame 209, so as to achieve dynamic adjustment of the contact reaction time of the exhaust gas with the bacterial film on the bacterial attachment plate 210; When the odor concentration is high, the rotation speed of the arc-shaped fixing frame 209 is increased to accelerate the air flow disturbance and extend the mass transfer contact path of the tail gas in the reaction zone; When the odor concentration tends to be stable 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 biofilm; After the rotation speed of the arc-shaped fixing 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 required, thereby forming a continuously running real-time closed-loop control link.

[0062] In this embodiment of the present invention, a target odor emission concentration of 5 ppm is set. The odor concentration is monitored in real time, and the deviation from the target value is calculated. The speed control signal is continuously updated based on the changing characteristics of the deviation. Specifically, the odor concentration deviation is calculated in real time, and a speed adjustment command is dynamically generated based on the deviation's magnitude, duration, and changing trend. The larger the deviation or the longer its duration, the greater the speed increase of the curved fixture 209. As the deviation decreases, the speed adjustment range of the curved fixture 209 is correspondingly reduced, thereby adjusting the contact reaction time between the exhaust gas and the biofilm. After this adjustment, odor concentration data is collected again, and the deviation is recalculated, forming a closed-loop feedback loop until the odor concentration stabilizes at the target value.

[0063] The speed adjustment amount of the arc-shaped fixing frame 209 is the proportional term multiplied by the deviation plus the integral term multiplied by the accumulated deviation plus the differential term multiplied by the rate of change of the deviation, where the deviation is the difference between the real-time measured odor concentration and the target emission concentration; the accumulated deviation is the integral of the deviation value within the set time window, and the rate of change of the deviation is the amplitude of the change of the deviation per unit time; The speed regulation process strictly matches the exhaust gas coordination mechanism: when the real-time speed of the arc-shaped fixed frame 209 is lower than 55r / min, the response deviation is only adjusted through speed regulation; when the speed rises to 55r / min and above, the exhaust gas intake is synchronously adjusted according to the rule of "reducing the exhaust gas intake by 10% when the speed is 55r / min-57r / min, and reducing it by 20% when the speed is 58r / min-60r / min", and the maximum speed does not exceed 60r / min.

[0064] The periodic reinforcement perturbation program includes: When the predicted value of the biofilm thickness reaches or exceeds the preset critical threshold, the disturbance mechanism is activated, and the adaptive adjustment module controls the arc-shaped fixing frame 209 to gradually increase the rotation speed in a step-by-step manner; The step-by-step approach is implemented in stages at set time intervals. The magnitude and duration of the upgrade are adjusted in tandem based on real-time operational data to ensure that the biofilm is updated without compromising its structural stability. During the perturbation execution process, the change state of the biofilm thickness is continuously monitored. When the predicted value falls back and returns to the set safety zone range, the perturbation program is immediately terminated and the rotation speed of the arc-shaped fixed frame 209 is restored to the normal steady-state operation level.

[0065] In this embodiment of the present invention, when the predicted biofilm thickness exceeds a critical threshold, the speed is gradually increased in stages: initially at a low speed, the speed is then gradually increased to a set peak value based on the real-time biofilm shedding rate to ensure uniform biofilm renewal. In this embodiment, when the predicted biofilm thickness reaches or exceeds the preset critical threshold of 2 mm, a step-by-step speed increase sequence is initiated for the arc-shaped mounting bracket 209: the speed is increased to 60 r / min from the 1st to the 10th minute, to 70 r / min from the 11th to the 20th minute, and to 80 r / min from the 21st to the 30th minute. If the temperature exceeds 36°C during the disturbance, the maximum speed is limited to 70 r / min, and the disturbance time is extended to 40 minutes. When the monitored biofilm thickness drops to 1.5 mm, the speed is restored to the steady-state operating level of 30 r / min. If the biofilm thickness does not reach 1.5 mm for an extended period (set at 30 minutes in this embodiment), the disturbance is automatically terminated, normal steady-state operation is resumed, and an alarm message is recorded for subsequent maintenance.

[0066] The fault diagnosis module is used to perform real-time validity verification of sensor data during device operation to determine whether there are abnormal conditions such as long-term data stability, sudden changes, or significant deviations from other similar sensor data. At the same time, it monitors whether the response status of the actuator is consistent with the corresponding control instructions to determine whether there are response failures, lags, or logical conflicts. When the diagnosis module identifies any of the above abnormalities, it immediately triggers the backup control strategy, calls the parameter sequence of the corresponding period in the historical operation data, and builds an estimation model to predict and control the current operation status; The energy efficiency optimization module is used to construct an association rule model between the energy consumption data and exhaust gas purification efficiency data collected during the long-term operation of the device, and to apply the association rule model in real time when the device is in a non-abnormal state to dynamically limit the power of the heat exchanger 103, the spray rack 104 and the arc-shaped fixed rack 209 drive device to control the energy consumption output range while meeting the purification effect.

[0067] In the embodiment of the present invention, the sensor data of the armored thermocouple sensor, capacitive humidity sensor, Hall effect speed sensor, laser displacement sensor, and gas chromatography-mass spectrometry inside the device are monitored in real time, and abnormalities are determined when the following situations occur: Long-term data is constant, such as the sensor output fluctuation is less than 0.5% for 10 consecutive minutes; Data mutation, such as the value change within one minute exceeds twice the maximum fluctuation value in the same period in history; The deviation of the same type of sensors is significant, that is, the difference in the measurement values ​​of two or more (if any) sensors of the same type in the same area is greater than or equal to 10% for five consecutive sampling periods; Real-time comparison of control instructions with the actual status of the execution components such as the arc-shaped fixing frame 209 driving device (in this embodiment, the driving motor 102), the heat exchanger 103, and the spray frame 104: Response failure, such as the command requires the arc-shaped fixed frame 209 to increase the speed to 50r / min, but the actual speed for 3 minutes is less than or equal to 30r / min; After the response, if the heat exchanger 103 does not start the cooling mode within 30 seconds after the instruction is issued; Logical conflict, such as receiving contradictory instructions of increasing the speed of the arc fixing frame 209 to 60r / min and decreasing the speed of the arc fixing frame 209 to 20r / min at the same time.

[0068] When the fault diagnosis module identifies any of the above abnormalities, the backup control strategy is immediately activated.

[0069] The operation mode of the energy efficiency optimization module includes: The operating data of the purification efficiency meeting the standard (in this embodiment, the odor concentration is less than or equal to 5 ppm and is continuously stable for more than 2 hours) within the past 90 days are extracted, and low-energy consumption samples with energy consumption in the top 20% are screened out (for example, when the speed of the arc fixing frame 209 is 30 rpm-45 rpm, the power of the heat exchanger 103 is less than or equal to 2 kilowatts, and the humidification capacity of the spray rack 104 is less than or equal to 5 L / h, which can both meet the purification requirements and be in a low-energy consumption state). The equipment power range of these samples is used as the benchmark constraint value.

[0070] When the device is operating normally, compare the current energy consumption with the benchmark constraint value in real time: If the purification efficiency is stable, such as the odor concentration after purification is less than or equal to 5ppm, the speed of the arc-shaped fixing frame 209 is limited to 30r / min-45r / min, and the power of the heat exchanger 103 is less than or equal to 2 kilowatts to avoid ineffective energy consumption; If the purification efficiency fluctuates, such as rising to 10 ppm for a short time, the limit can be temporarily relaxed, for example, the rotation speed of the arc-shaped fixed frame 209 can be increased to 70 r / min, and after the concentration returns to within 5 ppm, it can be gradually reduced to the reference range within 10 minutes; The benchmark constraint value is automatically updated once a month, incorporating the latest 90 days of low-energy consumption compliance data to adapt to changes in the long-term operating characteristics of the device.

[0071] Alternative control strategies include: When the fault diagnosis module identifies an abnormality in the sensor corresponding to any key parameter in the operating data, it automatically switches to the parameter estimation control logic based on the historical operating mode, calling the historical data of the same operating period to generate a dynamic estimation curve to replace the real-time data of the failed sensor and maintain the continuity of the control logic; When it is detected that there is a continuous deviation between the actual operating speed of the arc-shaped fixing frame 209 and the control instruction and the deviation exceeds the set allowable range, the dual-parameter compensation control strategy of biofilm thickness and odor concentration is activated: By analyzing the combined state of the current biofilm thickness and odor concentration to determine the impact trend of the response deviation, corresponding correction instructions are executed on the rotation speed of the arc-shaped fixing frame 209. When the biofilm is too thick or the odor concentration is too high, the rotation speed is increased; when the biofilm is too thin or the odor concentration is too low, the rotation speed is reduced to compensate for the impact of the execution deviation on the deodorization performance.

[0072] In the embodiment of the present invention, the specific implementation of the backup control strategy is as follows: When a temperature sensor failure is detected (in this embodiment, the output value is constant at 35°C for 10 consecutive minutes, and the deviation from the value of sensors in other areas exceeds 2°C), the temperature change curve for the same period in the past 7 days (such as 9:00-10:00 on the same working day) 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°C to 35°C, the current estimated value is dynamically updated at a rate of 0.1°C 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 data of the same working period in the valid historical data of the past set time scale (the set time scale in this embodiment is the past month) is retrieved as the backup estimation threshold. When the speed response deviation of the arc-shaped fixing frame 209 exceeds the allowable threshold (set to ±5r / min in this embodiment), the dual-parameter compensation control strategy of biofilm thickness and odor concentration is activated: if the current measured value of biofilm thickness is 1.6mm (in the normal range of 0.5-2mm in this embodiment) and the odor concentration is 10ppm (exceeding the target value of 5ppm), the speed is increased by an additional 3r / min based on the original control instruction; if the biofilm thickness is greater than 1.8mm and the odor concentration is less than 5ppm, the speed is reduced by 4r / min based on the original instruction, and the influence of the response deviation on the deodorization effect is offset by two-way compensation.

[0073] It should be noted that the power of the heat exchanger 103 and the spray rack 104 is reflected in the power of the temperature control device and the pump body provided outside the device. The installation and use of the heat exchanger 103 and the spray rack 104 are prior art and will not be described in detail here. In an embodiment of the present invention, a multi-source data fusion module, an intelligent early warning module, an adaptive adjustment module, a fault diagnosis module, and an energy efficiency optimization module are all integrated into a control unit. In this embodiment, the control unit is implemented using an industrial-grade embedded controller with multi-channel data acquisition, edge computing, and intelligent logic processing capabilities. The controller exchanges signals with the execution unit (such as the drive motor 102, the external temperature control device of the heat exchanger 103, and the external pump body of the spray rack 104) through a standard communication interface. This is well known in the prior art and will not be described in detail.

[0074] The above is a preferred embodiment of the present invention. The specific parameters in this embodiment are only examples and are not used to limit the scope of protection of the present invention. Those skilled in the art can appropriately adjust the parameters according to actual needs. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles described in the present invention, they can also make several improvements and modifications, and these improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An integrated biological deodorization device for animal house exhaust with enhanced turbulence, comprising a protective shell, a driving motor disposed on the surface of the protective shell, a heat exchanger and a spray rack disposed above the protective shell, characterized in that: include: An arc-shaped fixing frame, with a circular array, is arranged inside the protective shell; The bacterial attachment plate is fixedly connected to the receiving groove provided on the surface of the arc-shaped fixing frame; The deodorizing tube body is fixedly connected to the interior of the protective shell, the arc-shaped fixing frame is arranged in a circular array inside the deodorizing tube body, the arc-shaped fixing frame conflicts with the inner wall of the deodorizing tube body, and the through grooves symmetrically opened on the surface of the deodorizing tube body are respectively fixedly connected to the air inlet hopper and the air outlet hopper; 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, arc fixing frame speed data, bacterial attachment plate biofilm thickness data, and odor concentration data in the animal room exhaust gas; An 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 parameter fluctuations through dynamic threshold judgment, predict operating state deviations through trend evolution analysis, and generate prediction data including abnormality types and evolution trends; The adaptive adjustment module is used to dynamically adjust the rotation speed of the arc-shaped fixed frame based on the prediction data output by the intelligent early warning module and the odor concentration deviation value using a closed-loop feedback control strategy; to control the operation of the heat exchanger and spray rack based on the temperature prediction value and the humidity prediction value; and to trigger the periodic enhanced disturbance program according to the predicted value of the biofilm growth status, thereby promoting biofilm renewal by increasing the rotation speed of the arc-shaped fixed frame.

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

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

4. The integrated biological deodorization device for animal house exhaust with enhanced turbulence according to claim 3 is characterized in that: A sealed door is installed in the rectangular opening opened on the surface of the protective shell, and a slag collecting groove is fixedly connected to the slag removal groove opened on the bottom surface of the deodorizing tube body. One end of the slag collecting groove away from the deodorizing tube body extends inside the protective shell to a position close to the sealed door, and the area inside the protective shell between the inner wall of the protective shell and the deodorizing tube body is filled with insulation material.

5. The integrated biological deodorization device for animal house exhaust with enhanced turbulence according to claim 1 is characterized in that: The dynamic threshold criterion includes: Based on the sampling period and time window set by the device, the valid data sequence of each operating parameter of the device in the historical operating period is regularly extracted. After eliminating the abnormal data during equipment maintenance or failure, the parameters are statistically analyzed by time period, and 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 abnormal level according to its deviation amplitude and duration. The abnormal level is divided into three response levels: mild, medium or severe; the abnormal type and deviation level are output to the adaptive adjustment module as abnormal marks, and different levels of response measures are triggered according to the deviation amplitude and duration of the abnormal parameter to achieve hierarchical response control.

6. The integrated biological deodorization device for animal house exhaust with enhanced turbulence according to claim 1 is characterized in that: The trend evolution analysis includes: Determine the permissible range of the rate of change of each parameter under normal operating conditions based on historical operating data. The rate of change is the amplitude of change of the corresponding parameter per unit time. The permissible range is determined based on the average rate of change and the statistical fluctuation amplitude of the historical data. Continuously collect real-time operating data and calculate the change rates of multiple parameters at a set sampling period. The real-time change rates are compared item by item with the allowable change rate range of the corresponding parameters. When the change rate of any parameter exceeds the allowable range for multiple consecutive sampling periods, or the trend direction of the real-time data deviates from the allowable range for a long time and the amplitude reaches the set tolerance threshold, the intelligent early warning module generates an early warning signal for operating condition degradation; The warning signal includes the trigger parameter name, deviation direction, deviation duration and deviation degree level, and is transmitted to the adaptive adjustment module for adjusting the arc fixing frame speed, temperature control, humidity control or activating the periodic enhanced disturbance program in advance.

7. The integrated biological deodorization device for animal house exhaust with enhanced turbulence according to claim 1 is characterized in that: The execution of the closed-loop feedback control strategy includes: Calculate the deviation between the measured odor concentration and the set target emission concentration in real time, and dynamically generate speed adjustment instructions based on the duration and change rate of the deviation; The speed adjustment instruction is used to control the actual operating speed of the arc-shaped fixing frame, so as to achieve 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 high, the rotation speed of the arc-shaped fixing frame is increased to accelerate the air flow disturbance and extend the mass transfer contact path of the tail gas in the reaction zone; When the odor concentration tends to be stable or lower than the set target value, the speed of the arc-shaped fixed frame is reduced accordingly to reduce energy consumption and avoid excessive disturbance of the biofilm; 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 required, thereby forming a continuously running real-time closed-loop control link.

8. The integrated biological deodorization device for animal house exhaust with enhanced turbulence according to claim 1 is characterized in that: The periodic enhanced perturbation procedure includes: When the predicted value of the biofilm thickness reaches or exceeds a preset critical threshold, the disturbance mechanism is activated, and the adaptive adjustment module controls the arc-shaped fixed frame to gradually increase the rotation speed in a step-by-step manner; The step-by-step improvement method is implemented in stages at set time intervals, and the improvement amplitude and duration are adjusted in conjunction with the real-time collected operation data to ensure that the biofilm structure is updated without destroying its stability. During the perturbation execution process, the change state of the biofilm thickness is continuously monitored. When the predicted value falls back and returns to the set safety zone range, the perturbation program is immediately terminated and the rotation speed of the arc-shaped fixed frame is restored to the normal steady-state operation level.

9. The integrated biological deodorization device for animal house exhaust 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 to determine whether there are abnormal conditions such as long-term data stability, sudden changes, or significant deviations from other similar sensor data. At the same time, it monitors whether the response status of the actuator is consistent with the corresponding control instructions to determine whether there are response failures, lags, or logical conflicts. When the diagnosis module identifies any of the above abnormalities, it immediately triggers the backup control strategy, calls the parameter sequence of the corresponding period in the historical operation data, and builds an estimation model to predict and control the current operation status; The energy efficiency optimization module is used to construct an association rule model between the energy consumption data and the exhaust gas purification efficiency data collected during the long-term operation of the device, and to apply the association 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 rack and the arc-shaped fixed rack drive device to control the energy consumption output range while meeting the purification effect.

10. The integrated biological deodorization device for animal house exhaust gas with enhanced turbulence according to claim 9, characterized in that: The backup control strategy includes: When the fault diagnosis module identifies an abnormality in the sensor corresponding to any key parameter in the operating data, it automatically switches to the parameter estimation control logic based on the historical operating mode, calling the historical data of the same operating period to generate a dynamic estimation curve to replace the real-time data of the failed sensor and maintain the continuity of the control logic; When it is detected that there is a continuous deviation between the actual operating speed of the arc-shaped fixing frame and the control instruction and the deviation exceeds the set allowable range, the dual-parameter compensation control strategy of biofilm thickness and odor concentration is activated: By analyzing the combined state of the current biofilm thickness and odor concentration to determine the impact trend of the response deviation, corresponding correction instructions are executed on the rotation speed of the arc-shaped fixed frame. When the biofilm is too thick or the odor concentration is too high, the rotation speed is increased; when the biofilm is too thin or the odor concentration is too low, the rotation speed is reduced to compensate for the impact of the execution deviation on the deodorization performance.

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