Air volume adjusting system for reducing indoor pollutant concentration in livestock breeding industry

Abstract

The invention relates to the technical field of livestock breeding environment control, and discloses an air volume adjusting system for reducing the concentration of indoor pollutants in the livestock breeding industry, the air volume adjusting system comprises a composite heat exchanger and a dynamic double-control unit, and a heat recovery machine core of the composite heat exchanger comprises a plurality of honeycomb runners spliced together; each honeycomb flow channel is of a graphene-PTFE composite film structure, the composite heat exchanger is arranged in a livestock breeding room and electrically connected with the dynamic double-control unit and the modular air pipe unit, the dynamic double-control unit comprises a state collecting set and a control set, and the state collecting set is electrically connected with the modular air pipe unit. The control group is provided with an ammonia concentration-temperature priority control strategy, a fuzzy PID optimization strategy and a pollutant optimization strategy, and the control group controls operation of the composite heat exchanger. Heat recovery and fresh air preheating can be achieved in the ventilation process, the indoor temperature is kept appropriate, and a good growth environment is provided for livestock and poultry; the sensible heat efficiency is improved, water accumulation and frosting are avoided, and the system is more stable and efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of livestock breeding environment control, and in particular to an air volume regulating system for reducing indoor pollutant concentrations in livestock breeding. Background Art

[0002] In the livestock farming industry, environmental control is crucial for the healthy growth and profitability of livestock. Especially in cold regions, closed-off housing is often used to maintain indoor temperatures in winter. For example, in cold regions like Inner Mongolia, outdoor temperatures often drop below -22°C in winter. Traditional sheep sheds employ closed-off housing, which presents the following problems: Excessive ammonia: NH3 concentrations in closed environments often exceed 20 ppm (the national standard limit is ≤10 ppm), leading to frequent respiratory diseases in the sheep and reduced meat quality; Temperature imbalance: Traditional ventilation requires opening windows for ventilation, causing a sudden drop in indoor temperature (e.g., from 5°C to -10°C), leading to frostbite or even death in livestock. Furthermore, existing ventilation and heat recovery systems generally suffer from high energy consumption. Existing heat recovery systems have low efficiency, generally ≤60%. To maintain a suitable indoor temperature, additional heating devices are required, with a heat load as high as 103.4 W / m2 and annual energy consumption exceeding 45 kW·h / m2, increasing farming costs.

[0003] Existing environmental control systems rely solely on single parameter control, either temperature or ammonia, and are unable to dynamically balance environmental demands. Heat recovery is insufficient, and conventional aluminum foil heat exchangers are inefficient (sensible heat recovery ≤ 68%), making them unable to cope with extremely cold operating conditions. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide an air volume adjustment system for reducing the concentration of indoor pollutants in animal husbandry, so as to solve the contradiction between temperature maintenance and pollutant control in closed breeding houses in high-altitude and cold regions.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] An air volume regulating system for reducing indoor pollutant concentrations in animal husbandry, comprising a composite heat exchanger and a dynamic dual control unit.

[0007] The heat recovery core of the composite heat exchanger includes a plurality of honeycomb flow channels spliced ​​together, each of which adopts a graphene-PTFE composite membrane structure. The composite heat exchanger is arranged in the livestock breeding room and is electrically connected to the dynamic dual-control unit and the modular air duct unit.

[0008] The dynamic dual-control unit includes a state acquisition group and a control group. The control group is provided with an ammonia concentration-temperature priority control strategy, a fuzzy PID optimization strategy and a pollutant optimization strategy. The control group controls the operation of the composite heat exchanger based on the data collected by the state acquisition group.

[0009] In the present invention, preferably, the ammonia concentration-temperature priority control strategy is:

[0010] Get the concentration of NH3. When the concentration of NH3 is greater than 20ppm, start the fan and set the ventilation volume to full speed 5000m 3 / h;

[0011] When the concentration of NH3 is between 10ppm and 20ppm and the temperature is not less than 5℃, the fan is started and the ventilation volume is in gradient mode;

[0012] Otherwise the fan will not start.

[0013] In the present invention, preferably, the ventilation volume Q is:

[0014]

[0015] Where C NH3 is the concentration of the pollutant.

[0016] In the present invention, preferably, the fuzzy PID optimization strategy includes:

[0017] Get C NH3 Deviation value, temperature deviation value and historical concentration change rate;

[0018] Real-time calculation of air volume Q = K*(reference air volume + PID compensation item).

[0019] In the present invention, preferably, the pollutant optimization strategy is to use an LSTM neural network to predict the pollutant concentration in the next 2 hours;

[0020] And dynamically modify PID parameters according to pollutant concentration.

[0021] In the present invention, preferably, the graphene-PTFE composite membrane structure includes a graphene inner coating layer, a PTFE microporous base membrane layer and a SiO2 nano-hydrophobic layer in sequence from the inside to the outside.

[0022] In the present invention, preferably, the cross-section of the honeycomb flow channel is hexagonal, and the honeycomb flow channel is arranged to have an inclination angle of 15° relative to the wind direction of the primary air inlet.

[0023] In the present invention, preferably, the composite heat exchanger further comprises an outer frame, and a primary air inlet, a fresh air inlet, a secondary air inlet and an air outlet are provided on both sides of the outer frame;

[0024] The primary air inlet and the exhaust outlet pass through the exhaust filter, the heat recovery core, and the exhaust fan in sequence along the direction of the wind flow; the secondary air inlet and the fresh air outlet pass through the supply air filter and the heat recovery core in sequence along the direction of the wind flow.

[0025] In the present invention, preferably, a turbulence control strategy is also included, whereby fresh air and exhaust air generate local turbulence when passing through the honeycomb flow channel, and the turbulence control strategy maintains the Reynolds number Re>4000 in the honeycomb flow channel by adjusting the fan speed inside the heat exchanger.

[0026] In the present invention, preferably, a temperature gradient compensation control strategy is also included, and when the outdoor temperature is less than -10°C, the heater preheating is started to preheat the fresh air.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The system of the present invention uses an ammonia concentration-temperature priority control strategy, a fuzzy PID optimization strategy, and an LSTM neural network prediction strategy to dynamically adjust ventilation volume based on real-time and future ammonia concentrations, effectively reducing indoor ammonia and other pollutant concentrations and improving indoor air quality.

[0029] When the pollutant concentration is low or the temperature is unsuitable, the start and stop of the fan and the ventilation volume should be reasonably controlled to avoid excessive ventilation, save energy consumption and reduce breeding costs;

[0030] Combining heat recovery mechanisms and heaters, as well as temperature gradient compensation control strategies, it is possible to achieve heat recovery and preheat fresh air during ventilation, maintaining a suitable indoor temperature and providing a good growth environment for livestock and poultry.

[0031] The hexagonal honeycomb flow channel of the graphene-PTFE composite membrane structure and the 15° tilt setting improve the heat exchange efficiency and gas handling capacity. The turbulence control strategy further enhances the performance of the system, improves the sensible heat efficiency, avoids water accumulation and frost, and makes the system more stable and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a structural schematic diagram of an air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to the present invention.

[0033] Figure 2 This is a schematic structural diagram of the heat recovery core of the present invention.

[0034] Figure 3 It is a structural schematic diagram of the honeycomb flow channel described in the present invention.

[0035] Figure 4 Schematic diagram of the structure of the graphene-PTFE composite membrane described in the present invention.

[0036] Figure 5 This is a schematic structural diagram of the composite heat exchanger described in the present invention. DETAILED DESCRIPTION

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0039] Please also see Figures 1 to 3 A preferred embodiment of the present invention provides an air volume regulating system for reducing indoor pollutant concentrations in animal husbandry, comprising a composite heat exchanger and a dynamic dual-control unit.

[0040] The heat recovery core 1 of the composite heat exchanger includes a plurality of honeycomb flow channels 2 spliced ​​together, each of which adopts a graphene-PTFE composite membrane structure 3. The graphene-PTFE composite membrane structure 3 is a PTFE microporous membrane (thickness 50μm, porosity 85%) composite graphene coating, with a thermal conductivity of 120W / m·K. It has good heat exchange performance and gas separation performance, and can filter and treat pollutants in the air while achieving heat recovery. The composite heat exchanger is arranged in the livestock breeding room and is electrically connected to the dynamic dual-control unit and the modular air duct unit.

[0041] The dynamic dual-control unit includes a state acquisition group and a control group. The control group is provided with an ammonia concentration-temperature priority control strategy, a fuzzy PID optimization strategy and a pollutant optimization strategy. The control group controls the operation of the composite heat exchanger based on the data collected by the state acquisition group.

[0042] In this embodiment, the status collection group includes 8-point cloth-type ammonia sensors and temperature and humidity sensors, which are evenly arranged in the livestock breeding room to collect ammonia concentration and temperature and humidity data in the livestock breeding room.

[0043] In this embodiment, the ammonia concentration-temperature priority control strategy is:

[0044] Get the concentration of NH3. When the concentration of NH3 is greater than 20ppm, start the fan and set the ventilation volume to full speed 5000m 3 / h;

[0045] When the concentration of NH3 is between 10ppm and 20ppm and the temperature is not less than 5℃, the fan is started and the ventilation volume is in gradient mode;

[0046] Otherwise the fan will not start.

[0047] In this embodiment, the ventilation volume Q is:

[0048]

[0049] Where 0, 2000, and 5000 are air volumes in m 3 / h,C NH3 is the concentration of the pollutant, such as ammonia.

[0050] In this embodiment, the fuzzy PID optimization strategy includes:

[0051] Get C NH3 Deviation value, temperature deviation value and historical concentration change rate;

[0052] Real-time calculation of air volume Q = K*(reference air volume + PID compensation item).

[0053] Specifically, the main goal of the fuzzy PID optimization strategy is to adjust the air volume adjustment coefficient KK based on real-time NH3 concentration and temperature information through fuzzy reasoning, and then calculate the appropriate air volume QQ to achieve effective control of the system. The specific steps are:

[0054] 1. Input variable initialization

[0055] NH3 concentration deviation (ee): The value range of this variable is set

[0056] The range is between -10ppm-10ppm and +10ppm+10ppm, and is divided into five fuzzy subsets: "Negative Large (NB)", "Negative Small (NS)", "Zero (ZO)", "Positive Small (PS)", and "Positive Large (PB)". In practical applications, it is necessary to obtain the current NH3 concentration value in real time and subtract it from the set target concentration value to obtain the NH3 concentration deviation (ee).

[0057] Temperature deviation (\Delta TΔT): Its value range is

[0058] The range from -5°C to +5°C is divided into three fuzzy subsets: "Cold," "Normal," and "Hot." Similarly, the current temperature value needs to be obtained in real time and subtracted from the set target temperature to obtain the temperature deviation, Delta T.

[0059] 2. Output variable initialization

[0060] Air volume adjustment coefficient (KK): This variable ranges from 0.50.5 to 1.51.5 and is divided into three fuzzy subsets: "Low," "Medium," and "High." This coefficient will be used to calculate the final air volume QQ.

[0061] 3. Fuzzy rule base definition

[0062] The fuzzy rule base contains a series of rules used to determine the fuzzy subsets of the output variables based on the fuzzy subset combinations of the input variables. For example:

[0063] Rule 1: If the NH3 concentration deviation ee is "Negative (NB)" and the temperature deviation \Delta TΔT is "Cold (Cold)", then the air volume adjustment coefficient KK is "Medium (Medium)".

[0064] Rule 2: If the NH3 concentration deviation ee is "positive small (PS)" and the temperature deviation \Delta TΔT is "normal (Normal)", then the air volume adjustment coefficient KK is "high (High)".

[0065] Rule 3: If the NH3 concentration deviation ee is "positive (PB)" or the temperature deviation \Delta TΔT is "hot (Hot)", then the air volume adjustment coefficient KK is "high (High)".

[0066] 4. Fuzzification process

[0067] The real-time NH3 concentration deviation ee and temperature deviation \Delta TΔT need to be converted into membership of fuzzy sets. This is usually achieved through membership functions, with different fuzzy subsets (such as "NB" and "Cold") corresponding to different membership functions. For example, for the fuzzy subset "Negative Large (NB)", a trapezoidal membership function may be used to calculate the membership of ee to "NB". Through calculation, we can obtain the membership of ee to "NB", "NS", "ZO", "PS", and "PB" respectively, and the membership of \Delta TΔT to "Cold", "Normal", and "Hot" respectively.

[0068] 5. Rule matching and reasoning

[0069] Based on the membership degrees obtained through fuzzification, each rule in the fuzzy rule base is matched and inferred. For Rule 1, for example, both the membership degree of ee belonging to "NB" and the membership degree of \Delta TΔT belonging to "Cold" need to be considered. Because the rule uses the "AND" logical operator, the minimum of these two membership degrees is used as the trigger strength for the rule. For rules using the "OR" logical operator (such as Rule 3), the maximum of the two membership degrees is used as the trigger strength.

[0070] According to the triggering strength of each rule and the conclusion of the rule (i.e., the fuzzy subset of KK), we can get the fuzzy output of KK belonging to "Low", "Medium" and "High" respectively.

[0071] 6. Defuzzification process

[0072] The fuzzy output of KK obtained through fuzzy inference is a combination of multiple fuzzy subsets, which needs to be converted into a precise value. Common defuzzification methods include the centroid method and the maximum membership method. Taking the centroid method as an example, it is necessary to calculate the centroid of each fuzzy subset of KK and perform a weighted average based on their membership, ultimately obtaining a precise value for the air volume adjustment coefficient KK.

[0073] 7. Calculate PID compensation terms

[0074] The calculation of PID compensation term is usually based on the classic PID control algorithm, and its formula is:

[0075] PID=K_p\times e+K_i\times\int_{0}^{t}e(\tau)d\tau+K_d\times\frac{de}{dt}PID=Kp×e+Ki×∫0te(τ)dτ+Kd×dtde

[0076] Where K_pKp is the proportional coefficient, K_iKi is the integral coefficient, and K_dKd is the differential coefficient. ee is the current NH3 concentration deviation, \int_{0}^{t}e(\tau)d\tau∫0te(τ)dτ is the integral of the deviation,

[0077] \frac{de}{dt}dtde is the differential of the deviation. By calculating these values ​​in real time and substituting them into the formula, we can get the PID compensation term.

[0078] 8. Calculate the final air volume QQ

[0079] After obtaining the precise air volume adjustment coefficient KK and PID compensation term, the final air volume QQ is calculated according to the formula Q = K\times (reference air volume + PID compensation term). The reference air volume is a fixed value preset by the system.

[0080] In this embodiment, the pollutant optimization strategy is to use an LSTM neural network to predict the pollutant concentration in the next two hours. The LSTM neural network is trained through the previous historical NH3 emission curve and livestock activity pattern data; and the PID parameters are dynamically modified according to the pollutant concentration.

[0081] In this embodiment, the graphene-PTFE composite membrane structure 3 includes a graphene inner coating 31, a PTFE microporous base membrane layer 32 and a SiO2 nano-hydrophobic layer 33 from the inside out. The PTFE microporous base membrane layer 32 is a matrix with a thickness of 50 μm and a porosity of 85%.

[0082] Specifically, the graphene-PTFE composite membrane structure 3 adopts a 200nm thick graphene inner coating 31, a 50μm thick PTFE microporous base membrane layer 32 and a 5μm thick SiO2 nano-hydrophobic layer 33. The inner layer adopts the graphene inner coating 31 to improve the heat conduction efficiency. The porosity of the PTFE microporous base membrane layer 32 is 85%, and the air permeability is ≥8L / (m 2 ·s·Pa), while the outer SiO2 nano-hydrophobic layer 33 prevents frost and contamination. This increases the sensible heat efficiency of the heat recovery core 1 to 89% and reduces the critical frost temperature to -25°C (compared to -5°C for traditional systems), making it suitable for extremely cold environments.

[0083] In this embodiment, a method for preparing the graphene-PTFE composite membrane structure 3 is also provided:

[0084] The PTFE membrane was first plasma activated at a power of 300W for 5 minutes. A graphene suspension was then sprayed onto the inner side of the PTFE membrane at a concentration of 2mg / mL and a spraying speed of 10cm / s. Finally, a 5μm thick SiO2 nano-hydrophobic layer 33 was formed using SiO2 nanoparticle vapor deposition.

[0085] In this embodiment, the cross-section of the honeycomb flow channel 2 is a hexagon, and the honeycomb flow channel 2 is set to have an inclination angle of 15° relative to the wind direction of the primary air inlet 5, that is, the angle with the axial direction of the flow channel (the main direction of fluid flow) is 15°. When the wall of the honeycomb flow channel 2 is designed to be inclined at 15°, the fluid (such as fresh air and exhaust air) is forced to change the flow direction when flowing through the honeycomb structure, generating secondary flow (such as vortex and lateral flow). This change in flow state significantly increases the turbulence intensity of the fluid (the Reynolds number Re increases), breaking the originally stable laminar thermal boundary layer. The thermal boundary layer is a low-speed area formed between the fluid and the wall due to viscosity, which hinders heat transfer. Turbulence effectively reduces the thickness of the thermal boundary layer and improves heat conduction efficiency by enhancing fluid disturbance. The 15° inclination extends the effective flow path of the fluid in the flow channel. The countercurrent contact time of fresh air and exhaust air increases by 30%, allowing for sufficient heat exchange. The 15° inclination angle is close to the optimal fluid dynamics angle (critical angle of about 12-18 degrees), which can effectively suppress flow separation and reduce energy loss. Reduced pressure drop: Compared with the vertical flow channel (pressure drop 120Pa), the pressure drop of the 15° inclination flow channel is reduced to 85Pa, a reduction of about 29%. Low pressure drop allows higher air volume operation without increasing energy consumption, indirectly improving sensible heat efficiency. The inclined honeycomb flow channel 2 is combined with a graphene-PTFE composite membrane (thermal conductivity 120W / m·K) to further enhance the conduction of heat from the exhaust side to the fresh air side. At the same time, the 15° inclination angle promotes the rapid discharge of condensed water along the wall surface to avoid water accumulation and frost. Combined with the SiO2 nano-hydrophobic layer 33 (contact angle > 150°), the critical temperature of frost is reduced from -5°C to -25°C, ensuring continued efficient operation in extremely cold environments.

[0086] Specifically, the hexagonal honeycomb flow channel 2 has a single-side width of 2mm and a depth of 10mm, and is staggered with an inclination angle of 15° and a spacing of 10mm. The fresh air and exhaust air flow countercurrently through the honeycomb flow channel 2, causing the airflow to generate local turbulence (Reynolds number Re>4000); the turbulence breaks the boundary layer, and the heat transfer coefficient is increased to 85W / (m 2 ·K)(traditional laminar flow is only 35W / (m 2 ·K), the sensible heat efficiency reaches 89% (the traditional aluminum foil flow channel is only 68%).

[0087] In this embodiment, a turbulence control strategy is also included. Fresh air and exhaust air generate local turbulence when passing through the honeycomb flow channel 2. The turbulence control strategy maintains the Reynolds number Re>4000 in the honeycomb flow channel 2 by adjusting the fan speed inside the heat exchanger. The heat exchange efficiency in the turbulent state is increased by 40% compared with the fixed wind speed.

[0088] In this embodiment, the turbulence control strategy adjusts the fan speed to maintain the Reynolds number Re>4000 (turbulent state) in the flow channel. The specific process includes:

[0089] a. Initialize the base air volume: Set a fixed base air volume value, called the base air volume, for subsequent correction calculations, for example, base_speed = 2000m 3 / h.

[0090] b. Temperature difference correction air volume: Temperature difference definition: temp_diff represents the difference between the ambient temperature and the target temperature, in degrees Celsius (℃).

[0091] Correction rule: If temp_diff>5℃, it means the actual temperature is higher than the target temperature and the air volume needs to be increased to enhance heat dissipation.

[0092] Air volume correction formula:

[0093] speed=base\_speed\times\left(1+0.1\times(temp\_diff-5)\right)speed=

[0094] base_speed×(1+0.1×(temp_diff-5)),

[0095] speed=2000\times(1+0.1\times(7-5))=2000\times 1.2=2400\,m 3 / h,

[0096] If temp_diff≤5℃, the temperature is close to the target value, and the reference air volume remains unchanged:

[0097] speed=base_speed=2000m 3 / h

[0098] c. Second correction of ammonia concentration:

[0099] Definition of ammonia concentration: nh3_ppm represents the concentration of ammonia in the environment, with the unit being ppm (parts per million).

[0100] Correction rule: If nh3_ppm>15, it means that the ammonia concentration exceeds the standard and the air volume needs to be further increased to accelerate emissions.

[0101] Air volume correction formula:

[0102] speed=min(speed\times 1.2,5000)speed=min(speed×1.2,5000)

[0103] speed=min(2400\times 1.2,5000)=min(2880,5000)=2880\,m 3 / h

[0104] If nh3_ppm≤15, it means the ammonia concentration is normal and the current air volume remains unchanged.

[0105] d. Final output air volume

[0106] The air volume value corrected in the above two steps is output as the target speed of the fan.

[0107] Example results:

[0108] If temp_diff = 7°C, nh3_ppm = 20, the final air volume is 2880m 3 / h.

[0109] If temp_diff = 3°C, nh3_ppm = 10, the final air volume is 2000m 3 / h (base air volume).

[0110] This embodiment also includes a temperature gradient compensation control strategy. When the outdoor temperature is less than -10°C, the heater is activated to preheat the fresh air. The heater uses PTC ceramics, has a power of ≤1kW, and preheats to -5°C.

[0111] In this embodiment, the composite heat exchanger further comprises an outer frame 4, on both sides of which are opened a primary air inlet 5, a fresh air inlet 6, a secondary air inlet 7 and an air outlet 8;

[0112] The primary air inlet 5 and the exhaust outlet 8 pass through the exhaust filter 9, the heat recovery core 1, and the exhaust fan 10 in sequence along the direction of wind flow, and the secondary air inlet 7 and the fresh air outlet 6 pass through the supply air filter 11 and the heat recovery core 1 in sequence along the direction of wind flow.

[0113] In this embodiment, the fresh air inlet 6 adopts a bag air duct, which is a permeation air supply and can effectively avoid livestock stress. The primary air inlet 5 side adopts a phenolic air duct, which has a high fire protection level and a high safety factor.

[0114] Specifically, taking a 1,000-square-meter sheep house (with a stock of 800 sheep) in Xilin Gol League, Inner Mongolia as an example, two composite heat exchangers were installed in the sheep house, and eight evenly distributed NH3 detectors were installed 1.2 meters above the ground. Under extreme conditions of outdoor temperature of -25°C / and NH3 concentration of 35ppm in the sheep house, the test showed that within 60 minutes, the NH3 concentration dropped to 12ppm, and the sheep house temperature dropped from 20°C to 18.5°C. The details are shown in Table 1 below:

[0115] Table 1.

[0116] index Traditional window ventilation Commercially available fresh air systems System of the present invention <![CDATA[NH3 peak concentration]]> 35ppm 18ppm 12ppm Temperature fluctuation range 5℃～28℃ 15℃±3℃ 20℃±1.5℃ Average daily energy consumption 82kW·h (coal-fired heating) 45kW·h 18kW·h Equipment investment cost none 120,000 yuan 75,000 yuan Installation space occupied - Requires a separate computer room roof mezzanine embedded Carbon emissions (tons / year) 26.3 14.7 5.2

[0117] It can be seen from the table that this system can effectively reduce the concentration of pollutants such as ammonia in the sheep house, improve the indoor air quality, save energy consumption, reduce breeding costs, and be green and environmentally friendly.

[0118] In some other preferred embodiments of the present invention, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the method described in the above embodiment.

[0119] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0120] The above description is a detailed description of the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the patent application of the present invention. Any equivalent changes or modifications completed under the technical spirit suggested by the present invention should fall within the patent scope covered by the present invention.

Claims

1. A system for regulating air volume for reducing indoor pollutant concentrations in animal husbandry, characterized in that: Including composite heat exchanger and dynamic dual control unit, The heat recovery core of the composite heat exchanger includes a plurality of honeycomb flow channels spliced ​​together, each of which adopts a graphene-PTFE composite membrane structure. The composite heat exchanger is arranged in the livestock breeding room and is electrically connected to the dynamic dual-control unit and the modular air duct unit. The dynamic dual-control unit includes a state acquisition group and a control group. The control group is provided with an ammonia concentration-temperature priority control strategy, a fuzzy PID optimization strategy and a pollutant optimization strategy. The control group controls the operation of the composite heat exchanger based on the data collected by the state acquisition group.

2. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 1, characterized in that: The ammonia concentration-temperature priority control strategy is: Get the concentration of NH3. When the concentration of NH3 is greater than 20ppm, start the fan and set the ventilation volume to full speed 5000m 3 / h; When the concentration of NH3 is between 10ppm and 20ppm and the temperature is not less than 5℃, the fan is started and the ventilation volume is in gradient mode; Otherwise the fan will not start.

3. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 2, characterized in that: The ventilation volume Q is: Where C NH3 is the concentration of the pollutant.

4. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 1, characterized in that: The fuzzy PID optimization strategy includes: Get C NH3 Deviation value, temperature deviation value and historical concentration change rate; Real-time calculation of air volume Q = K*(reference air volume + PID compensation item).

5. The air volume regulating system for reducing indoor pollutant concentration in animal husbandry according to claim 1, characterized in that: The pollutant optimization strategy is to use LSTM neural network to predict the pollutant concentration in the next 2 hours; And dynamically modify PID parameters according to pollutant concentration.

6. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 1, characterized in that: The graphene-PTFE composite membrane structure comprises, from the inside to the outside, a graphene inner coating, a PTFE microporous base membrane layer and a SiO2 nano-hydrophobic layer.

7. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 1, characterized in that: The cross section of the honeycomb flow channel is hexagonal, and the honeycomb flow channel is arranged to have an inclination angle of 15° relative to the wind direction of the primary air inlet.

8. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 1, characterized in that: The composite heat exchanger further comprises an outer frame, with a primary air inlet, a fresh air inlet, a secondary air inlet and an air outlet provided on both sides of the outer frame; The primary air inlet and the exhaust outlet pass through the exhaust filter, the heat recovery core, and the exhaust fan in sequence along the direction of the wind flow; the secondary air inlet and the fresh air outlet pass through the supply air filter and the heat recovery core in sequence along the direction of the wind flow.

9. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 8, characterized in that: It also includes a turbulence control strategy, in which fresh air and exhaust air generate local turbulence when passing through the honeycomb flow channel. The turbulence control strategy maintains the Reynolds number Re in the honeycomb flow channel greater than 4000 by adjusting the fan speed.

10. The air volume regulating system for reducing indoor pollutant concentrations in animal husbandry according to claim 8, characterized in that: It also includes a temperature gradient compensation control strategy. When the outdoor temperature is less than -10℃, the heater preheating is started to preheat the fresh air.

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