A variable air pressure dynamic control system and device for an air conditioning air flow organization system

Abstract

The present invention discloses a variable wind pressure dynamic control system and device for an air conditioning air flow organization system, which relates to the field of air flow control technology. The key points of its technical solution are: including a main control unit, a dynamic prediction module, an actuator, a sensor network, and a feedback module. The effect is that the driving device can control the opening and closing opening of the valve through the first connecting rod assembly, the second connecting rod assembly and the third connecting rod assembly, and control the movement of the movable sleeve through the spline and the electric telescopic rod in the adjustment assembly to complete the locking and unlocking of the rotation of different guide devices, thereby expanding the opening and closing mode of the valve guide device. In particular, under the coordinated control of the main control unit and the dynamic prediction module, the device can dynamically analyze the real-time collected data and historical data, and generate the optimal opening and closing angle of the valve according to the nonlinear dynamic prediction model, further improving the adaptability and operation efficiency of the entire system in a complex industrial environment.

Description

Technical Field

[0001] The present invention relates to the technical field of air flow control, and more specifically, to a variable wind pressure dynamic control system and device for an air flow organization system of an air conditioner. Background Art

[0002] With the rapid development of modern industry, high-precision industrial environments such as semiconductor manufacturing, precision electronics assembly, and cleanrooms have placed extremely stringent requirements on environmental control. In particular, precise control of air pressure, temperature, humidity, and air flow direction during production is crucial for ensuring production stability, product quality, and environmental cleanliness. Industrial air conditioning valves are primarily used to control air flow, thereby adjusting air pressure and air flow direction. Common industrial air conditioning valves include butterfly valves, ball valves, sliding valves, and vane control valves.

[0003] In high-precision industrial scenarios, the start-up and shutdown of equipment and the frequent entry and exit of personnel can cause rapid fluctuations in wind pressure. For example, equipment startup can cause a sudden drop in local wind pressure, disrupting the micro-positive pressure environment and allowing external contaminants to enter the cleanroom, thereby affecting product quality. Traditional wind pressure control systems typically rely on fixed-parameter control strategies with long response times (typically >5 seconds), failing to meet the high real-time response requirements of industrial environments. Wind pressure deviations can exceed ±10Pa for extended periods, making rapid recovery impossible.

[0004] In addition, there are a large number of heat source equipment and sensitive areas in industrial scenarios, and these areas have significantly different requirements for air flow distribution. For example, high-heat equipment requires centralized cooling, while other areas require evenly distributed air to maintain a stable environment. However, traditional air guide devices are mostly designed with a single structure and cannot flexibly adjust the air flow direction, resulting in overheating or uneven cooling in local areas, seriously affecting the operating efficiency of the equipment and the production stability of the product. The design of existing actuators (such as valves and air guide devices) is mostly a single structure with limited control capabilities, making it difficult to meet diverse needs. In particular, when adjusting the air flow direction, the air guide device is usually unable to achieve dynamic, multi-dimensional and precise adjustment. It can neither respond quickly nor adapt to the special needs of local areas, further reducing the operating efficiency of the entire industrial plant and the control effect of wind pressure, temperature and humidity, and air circulation within the plant.

[0005] Therefore, in order to solve the above technical problems, the present application proposes a variable air pressure dynamic control system and device for an air conditioning airflow organization system. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention aims to provide a variable air pressure dynamic control system and device for an air conditioning air flow organization system.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a variable air pressure dynamic control system and device for an air conditioning air flow organization system, comprising:

[0008] Main control unit, used to collect and analyze wind pressure, temperature, humidity and flow parameter data;

[0009] Dynamic prediction module generates variable wind pressure control instructions through analysis of real-time data and historical data;

[0010] The actuator includes an electromagnetic drive module and a flow guide device. The electromagnetic drive module uses a current control formula to achieve precise adjustment of the valve opening. The guide plate of the flow guide device adjusts the air flow direction and optimizes the wind pressure distribution in the industrial environment.

[0011] A sensor network, including distributed wind pressure sensors, temperature and humidity sensors, and flow sensors, is used to collect parameter data in the industrial environment in real time and transmit it to the main control unit;

[0012] Feedback module, used to collect the operating status of the actuator in real time and transmit the feedback data to the main control unit for adjusting the control scheme;

[0013] The main control unit generates the control instruction through the following steps:

[0014] Fuzzy rule sets are used to analyze the real-time collected wind pressure, temperature, humidity and flow data to generate initial control instructions;

[0015] Predict future wind pressure demands based on nonlinear dynamic prediction formulas, and modify the control values ​​based on environmental disturbance factors;

[0016] Use artificial neural networks to optimize fuzzy control parameters and prediction results, and adjust control accuracy;

[0017] The optimized control instructions are sent to the actuator to adjust the valve opening and air flow direction to adapt to changes in the industrial environment and maintain stable wind pressure.

[0018] Preferably, the dynamic prediction module generates the wind pressure prediction value through the following nonlinear dynamic coupling model:

[0019]

[0020] Among them, α1, α2, β1, β2, γ1, γ2 are the coupling coefficients obtained by regression of historical data;

[0021] P(t) is the wind pressure function, T(t) is the temperature function, H(t) is the humidity function, and Q(t) is the flow function;

[0022] and are the rates of change of wind pressure and flow, respectively.

[0023] Preferably, the fuzzy rule generates the initial control command by the following fuzzy control algorithm:

[0024]

[0025] Among them, x1 is wind pressure, x2 is temperature and humidity, x3 is flow rate, A 1，i 、A 2，i and A 3，i The fuzzy membership function represents the fuzzy interval of x1, x2 and x3, B i is the correction value of the wind pressure control value;

[0026] The membership function of the fuzzy output is calculated as:

[0027] Among them, c i is the central value of the fuzzy rule, σ i is the expansion width of the fuzzy rule;

[0028] The control value output by the fuzzy control algorithm is calculated using the following formula:

[0029]

[0030] Among them, B i It is the correction value of the wind pressure control value and is dynamically optimized by the artificial neural network.

[0031] Preferably, the artificial neural network optimization is a machine learning algorithm used to optimize the algorithm results of the control instructions in the control field.

[0032] Preferably, the electromagnetic drive module controller describes the current I and the valve opening ΔX target The direct relationship formula is:

[0033]

[0034] Among them, P set For the appropriate wind pressure, P out is the current wind pressure, K1, K2 and K3 are the sum gain coefficients of proportional, integral and differential control weights respectively, and the wind pressure error (P set -P out ) is the core input of the main control unit;

[0035] The deflector device adjusts the deflector angle by the following formula:

[0036]

[0037] Wherein, θ is the adjustment angle of the guide plate;

[0038] φ1, φ2 are the adjustment coefficients of wind pressure deviation and change rate.

[0039] A dynamic variable air pressure control device for an industrial air conditioner comprises: a valve frame, and a flow guide device arranged in an array within the valve frame, the flow guide device being formed by coupling two sets of V-shaped flow guide vanes and a rotating shaft fixed in the middle of the two sets of flow guide vanes. A drive device is provided on one side of the valve frame, and a power output end of the drive device is fixedly connected to a rotating shaft at an edge of the flow guide device. A rotating sleeve is provided at one end of the rotating shaft at the edge.

[0040] A first connecting rod assembly and a second connecting rod assembly are provided on the rotating sleeve, wherein the first connecting rod assembly is used to drive the flow guide devices sequentially spaced from the edge to complete synchronous rotation, the first connecting rod assembly includes a plurality of first connecting rods and a first cross bar, each of the first connecting rods is directly connected to the spaced rotating sleeve, the first cross bar is rotatably connected to the plurality of first connecting rods, and the second connecting rod assembly is fixedly connected to the rotating sleeve not connected to the first connecting rod assembly in a direction opposite to the first connecting rod assembly;

[0041] The third connecting rod assembly includes a third active connecting rod, a third cross rod and a third driven connecting rod, an extension shaft is provided on the end of the rotating shaft connected to the driving device, a movable sleeve is provided on the extension shaft, and the movable sleeve can slide on the extension shaft, the third active connecting rod is fixedly connected to the movable sleeve, the third active connecting rod is fixedly connected to the movable sleeve, an adjustment sleeve is provided on the end of the rotating shaft connected to the first cross rod close to the third driven connecting rod, the adjustment sleeve is provided with a third driven connecting rod, and the third active connecting rod and the third driven connecting rod are movably connected through the third cross rod;

[0042] An adjusting component is used to adjust the opening and closing of the flow guide device inside the valve frame, including a spline arranged on the extension shaft, a spline groove is opened on the movable sleeve, a slider is provided on the movable sleeve, and the movable sleeve is installed with a top plate by rotating the slider. An electric telescopic rod is symmetrically provided on the valve frame along the direction of the movable sleeve, and the power output end of the electric telescopic rod is fixedly connected to the top plate.

[0043] Preferably, a vertical rotating shaft is provided between the third cross bar and the third driven link, and the vertical rotating shaft is used for the horizontal rotation of the third cross bar and the third driven link. A transverse rotating shaft is installed on the third cross bar, and the transverse rotating shaft is rotationally connected to the vertical rotating shaft. The transverse rotating shaft is used to complete the longitudinal rotation action between the third cross bar and the third driven link.

[0044] Preferably, the connecting ends of the third cross bar and the third driven connecting rod are both provided with an arc, so as to prevent the third cross bar and the third driven connecting rod from getting stuck when the third cross bar tilts upward.

[0045] Preferably, the valve frame is symmetrically provided with telescopic springs along the direction of the movable sleeve, and the top end of the telescopic spring is fixedly connected to the top plate. The valve frame is also provided with a telescopic sleeve, and the top end of the telescopic sleeve is fixedly connected to the top plate, and the electric telescopic rod and the telescopic spring are both located inside the telescopic sleeve.

[0046] Preferably, a mounting frame is provided on the valve frame, and the mounting frame consists of a top frame and four brackets. The driving device is fixedly connected to the top frame on the mounting frame. The movement range of the first connecting rod on the rotating sleeve connected to the driving device is between two of the brackets on the mounting frame, and the rotation range of the first connecting rod is 0°-90°.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] 1. In the present invention, the driving device can control the opening and closing opening of the valve through the first connecting rod assembly, the second connecting rod assembly and the third connecting rod assembly, and controls the movement of the movable sleeve through the spline and the electric telescopic rod in the adjustment assembly to complete the locking and unlocking of the rotation of different guide devices, thereby expanding the opening and closing mode of the valve guide device. It can not only flexibly adapt to the complex wind pressure, temperature and humidity and air flow direction control needs in the industrial environment, but also accurately adjust the valve opening according to the specific scenario. In particular, under the coordinated control of the main control unit and the dynamic prediction module, the device can dynamically analyze the real-time collected data and historical data, and generate the optimal opening and closing angle of the valve according to the nonlinear dynamic prediction model, further improving the adaptability and operation efficiency of the entire system in a complex industrial environment.

[0049] 2. In the present invention, through the wind pressure demand prediction of the dynamic prediction module, the real-time instruction generation of the fuzzy control algorithm and the dynamic optimization of the artificial neural network, the system can quickly adapt to the complex disturbances in the industrial environment and realize precise wind pressure control. The system response time is significantly shortened, and the wind pressure fluctuation is effectively controlled. The actuator significantly improves the temperature and humidity uniformity and wind pressure stability of the workshop through dynamic adjustment, while reducing the energy consumption of the system, improving the operating efficiency of the equipment and the production stability of the product.

[0050] 3. In the present invention, the actuator combines the wind pressure demand estimation of the dynamic prediction module with the real-time instruction generation of the fuzzy control algorithm to form a precise and efficient control strategy. The electromagnetic drive module realizes the rapid and precise adjustment of the valve opening. The guide device optimizes the air flow direction in real time to accurately cover the high-temperature area or evenly distribute the cold air. The system enhances the adaptability of the fuzzy rules through the optimization of the artificial neural network, and realizes the wind pressure stability, rapid response and energy efficiency improvement under the dynamic disturbance of the industrial workshop as a whole. It can adapt to the special needs of local areas and improve the operating efficiency and control effect of the whole system.

[0051] 4. In this invention, energy saving, efficiency improvement and precise control

[0052] This industrial air-conditioning variable air pressure dynamic control system and device can accurately control the air volume according to the design requirements of temperature, humidity, cleanliness or fresh air volume, effectively solving the problems of energy waste and poor air conditioning effect caused by parameter drift or unreasonable air volume (too large or too small) in each room or area. In actual operation, the system avoids energy consumption caused by excessive air supply through precise air pressure control and air flow optimization, while ensuring that each area can obtain the appropriate air volume, improving the overall air conditioning effect, and achieving the dual goals of energy saving and efficient operation. When used in semiconductor manufacturing workshops, the air volume can be accurately allocated according to the actual needs of different areas, so that the equipment operating environment is stabilized in the optimal state, which not only reduces energy costs but also improves the stability and quality of product production. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0054] Figure 1 Schematic diagram of the system framework of the present invention;

[0055] Figure 2 This is a schematic diagram of the steps for adjusting instructions by the main control unit in the present invention;

[0056] Figure 3 Schematic diagram of the valve device structure in the present invention;

[0057] Figure 4 This is a schematic structural diagram of the valve device of the present invention from another perspective;

[0058] Figure 5 for Figure 4 A magnified schematic diagram of point A in the middle;

[0059] Figure 6 Schematic diagram of the top view of the valve device in the present invention;

[0060] Figure 7 Schematic diagram of the structure of the regulating component in the present invention;

[0061] Figure 8 for Figure 7 A magnified schematic diagram of point B in the middle;

[0062] Figure 9 for Figure 8 The enlarged schematic diagram of point C in the middle;

[0063] Figure 10This is a schematic diagram of the structure of the valve device of the present invention from another perspective;

[0064] Figure 11 for Figure 10 The enlarged schematic diagram of point D in the middle;

[0065] Figure 12 Schematic diagram of the structure of the flow guide device in the present invention;

[0066] Figure 13 is the first state diagram in the present invention;

[0067] Figure 14 is the second state diagram of the present invention;

[0068] Figure 15 This is the third state diagram of the present invention;

[0069] Figure 16 This is the fourth state diagram in the present invention.

[0070] 1. Valve frame; 2. Driving device; 3. First connecting rod assembly; 301. First connecting rod; 302. First cross bar; 4. Second connecting rod assembly; 5. Guide device; 6. Rotating shaft; 7. Rotating sleeve; 8. Guide leaf; 9. Third connecting rod assembly; 901. Third active connecting rod; 902. Third cross bar; 903. Third driven connecting rod; 904. Vertical rotating shaft; 905. Horizontal rotating shaft; 10. Adjusting assembly; 1001. Telescopic sleeve; 1002. Top plate; 1003. Electric telescopic rod; 1004. Telescopic spring; 1005. Slider; 1006. Spline; 11. Moving sleeve; 12. Adjusting sleeve; 13. Mounting frame; 14. Extension shaft. DETAILED DESCRIPTION

[0071] Example 1:

[0072] like Figure 1-Figure 2 As shown, the present invention provides an industrial air-conditioning variable air pressure dynamic control system, comprising:

[0073] Main control unit, used to collect and analyze wind pressure, temperature, humidity and flow parameter data;

[0074] The dynamic prediction module generates variable wind pressure control instructions by analyzing real-time data and historical data. The dynamic prediction module generates wind pressure prediction values ​​through the following nonlinear dynamic coupling model:

[0075]

[0076] Among them, α1, α2, β1, β2, γ1, γ2 are the coupling coefficients obtained by regression of historical data;

[0077] P(t) is the wind pressure function, T(t) is the temperature function, H(t) is the humidity function, and Q(t) is the flow function;

[0078] and are the rates of change of wind pressure and flow respectively;

[0079] Fuzzy rule generation The initial control order is generated by the following fuzzy control algorithm:

[0080]

[0081] Among them, x1 is wind pressure, x2 is temperature and humidity, x3 is flow rate, A 1，i 、A 2，i and A 3，i The fuzzy membership function represents the fuzzy interval of x1, x2 and x3, B i is the correction value of the wind pressure control value;

[0082] The membership function of the fuzzy output is calculated as:

[0083] Among them, c i is the central value of the fuzzy rule, σ i is the expansion width of the fuzzy rule;

[0084] The control value output by the fuzzy control algorithm is calculated using the following formula:

[0085]

[0086] Among them, B i is the correction value of the wind pressure control value, and is dynamically optimized by the artificial neural network;

[0087] It should be noted that the real-time data (wind pressure, temperature and humidity, flow rate and their rate of change) collected by the main control unit and historical data are used to predict future wind pressure requirements through a nonlinear dynamic coupling model;

[0088] Experiments show that in high-temperature and high-humidity industrial workshops, dynamic predictions are combined with environmental disturbances (such as temperature rise or wind pressure drop caused by equipment startup) to modify control instructions. When equipment is started, the dynamic prediction module generates control instructions in advance, quickly restoring the wind pressure from a deviation of -20Pa to the target value, with the deviation controlled within ±5Pa. In addition, the prediction error is reduced from 8% in traditional systems to 2%, ensuring the accuracy of control instructions.

[0089] Based on real-time data on wind pressure, temperature, humidity, and flow, fuzzy control rules dynamically generate control instructions and adjust actuators (valves and guide plates) to adapt to disturbances. When a drop in wind pressure is detected, the system adjusts the valve opening through fuzzy rules, increasing the wind pressure by +20Pa to quickly compensate for the deviation. In the heat source area of ​​the equipment, the guide plate angle is automatically adjusted to +30°, directing cold air to the equipment area, eliminating the impact of temperature rise, and optimizing the wind pressure distribution. The wind pressure fluctuation range is reduced from ±10Pa to ±2Pa, and the system's response time to local areas is shortened from 5 seconds to less than 1 second, achieving fast and accurate air flow control. The artificial neural network dynamically optimizes fuzzy rule parameters (such as the center value and width of the membership function) to enhance the system's adaptability to complex disturbances. The system can complete parameter adjustment without human intervention under multiple environmental disturbances. The self-learning function of the neural network improves the accuracy of fuzzy control by about 15%, significantly reducing fluctuations in wind pressure, temperature, and humidity.

[0090] Through the wind pressure demand prediction of the dynamic prediction module, the real-time instruction generation of the fuzzy control algorithm and the dynamic optimization of the artificial neural network, the system can quickly adapt to complex disturbances in the industrial environment and achieve precise wind pressure control. The system response time is significantly shortened, and wind pressure fluctuations are effectively controlled. The actuators (valves and guide plates) significantly improve the temperature and humidity uniformity and wind pressure stability in the workshop through dynamic adjustment, while reducing the energy consumption of the system.

[0091] The actuator includes an electromagnetic drive module and a flow guide device (5), wherein the electromagnetic drive module realizes precise adjustment of the valve opening through a current control formula, wherein the electromagnetic drive module can drive an electric drive device such as a servo motor and an electric telescopic rod, and the flow guide plate of the flow guide device (5) adjusts the air flow direction and optimizes the wind pressure distribution in the industrial environment;

[0092] The electromagnetic drive module controller describes the current I and valve opening ΔX target The direct relationship formula is:

[0093]

[0094] Among them, P set For the appropriate wind pressure, P out is the current wind pressure, K1, K2 and K3 are the sum gain coefficients of proportional, integral and differential control weights respectively, and the wind pressure error (P set -P out ) is the core input of the main control unit. The current I can be the output current of a series of electric drive devices such as a servo motor or an electric telescopic rod;

[0095] The guide device (5) adjusts the guide plate angle by the following formula:

[0096]

[0097] Wherein, θ is the adjustment angle of the guide plate;

[0098] φ1, φ2 are the adjustment coefficients of wind pressure deviation and change rate;

[0099] It should be noted that this embodiment can be applied to semiconductor manufacturing workshops, where the production process requires precise control of wind pressure, temperature, humidity, and air flow direction. For example, equipment startup or personnel activities can cause a rapid drop in wind pressure, increasing the risk of contamination in the clean room. Areas where heat-generating equipment is located require centralized cooling, while other areas require uniform air distribution. Environmental parameter fluctuations must be adjusted to the target range within 1 second to avoid affecting production stability. However, traditional systems have a lag in regulation and a long response time (usually >5 seconds), making it difficult to simultaneously meet the requirements of precise regulation and rapid response.

[0100] The system collects parameters such as wind pressure, temperature, humidity, and flow in real time through a sensor network in the semiconductor manufacturing workshop. Combining this with historical data, the system uses a dynamic prediction module to predict future wind pressure requirements. When equipment startup causes a rapid drop in wind pressure, the dynamic prediction module identifies the trend in advance and instructs the actuator to increase the valve opening to compensate for the pressure shortfall.

[0101] The fuzzy control algorithm combines the real-time collected wind pressure, temperature, humidity and flow data to generate initial control instructions based on the wind pressure deviation and dynamically adjust the valve opening. For example, when the wind pressure deviation is -10Pa, the fuzzy control algorithm outputs an instruction to increase the valve opening to increase the wind pressure by +20Pa. At the same time, the fuzzy rules dynamically calculate the adjustment angle of the guide plate. When the temperature in the local equipment area rises, the system generates an instruction to adjust the guide plate angle to +30° to concentrate the cold air to this area. To meet the requirements of uniform distribution, the guide plate angle is restored to 0° when the angle does not need to be adjusted. According to experimental results, the wind pressure fluctuation range is reduced from ±10Pa to ±2Pa, and the temperature in the local high-heat equipment area drops from +5℃ to the target temperature of 25℃.

[0102] The actuator combines the wind pressure demand estimation of the dynamic prediction module with the real-time instruction generation of the fuzzy control algorithm to form an accurate and efficient control strategy. The electromagnetic drive module realizes the rapid and accurate adjustment of the valve opening. The guide device (5) optimizes the air flow direction in real time to accurately cover the high-temperature area or evenly distribute the cold air. The system enhances the adaptability of the fuzzy rules through the optimization of the artificial neural network, and overall realizes the wind pressure stability, rapid response and energy efficiency improvement under the dynamic disturbance of the industrial workshop.

[0103] A sensor network, including distributed wind pressure sensors, temperature and humidity sensors, and flow sensors, is used to collect parameter data in the industrial environment in real time and transmit it to the main control unit;

[0104] Feedback module, used to collect the operating status of the actuator in real time and transmit the feedback data to the main control unit for adjusting the control scheme;

[0105] The main control unit generates control instructions through the following steps:

[0106] Fuzzy rule sets are used to analyze the real-time collected wind pressure, temperature, humidity and flow data to generate initial control instructions;

[0107] Predict future wind pressure demands based on nonlinear dynamic prediction formulas, and modify the control values ​​based on environmental disturbance factors;

[0108] Use artificial neural networks to optimize fuzzy control parameters and prediction results, and adjust control accuracy;

[0109] It should be noted that artificial neural network optimization is a machine learning algorithm in the existing technology. It is based on a bidirectional long short-term memory network (Bi-LSTM) and optimizes fuzzy control parameters and dynamic prediction results. It is used to optimize the algorithm results of control instructions in the control field. It will not be described in detail here.

[0110] The optimized control instructions are sent to the actuator to adjust the valve opening and air flow direction to adapt to changes in the industrial environment and maintain stable wind pressure.

[0111] Example 2:

[0112] like Figure 3-Figure 16 As shown, the present invention provides a variable air pressure dynamic control system and device for an air flow organization system of an air conditioning system, comprising: a valve frame 1, and a flow guide device 5 arranged in an array inside the valve frame 1, the flow guide device 5 being coupled by two groups of V-shaped flow guide blades 8 and a rotating shaft 6 fixed in the middle of the two groups of flow guide blades 8;

[0113] It should be noted that the symmetrical V-shaped guide blade 8 can efficiently divert the air flow blown by the air-conditioning fan, which can effectively improve the air circulation efficiency when targeting large industrial sites;

[0114] A driving device 2 is provided on one side of the valve frame 1. The driving device 2 can be a servo motor. The power output end of the driving device 2 is fixedly connected to the rotating shaft 6 at the edge of the guide device 5. A rotating sleeve 7 is provided at one end of the rotating shaft 6 at the edge.

[0115] The first connecting rod assembly 3 and the second connecting rod assembly 4 are provided on the rotating sleeve 7. The first connecting rod assembly 3 is used to drive the guide devices 5 spaced apart from the edge to complete synchronous rotation. The first connecting rod assembly 3 includes a plurality of first connecting rods 301 and a first cross rod 302. Each first connecting rod 301 is directly connected to the spaced rotating sleeve 7. The first cross rod 302 is rotatably connected to the plurality of first connecting rods 301. The second connecting rod assembly 4 is fixedly connected to the rotating sleeve 7 not connected to the first connecting rod assembly 3 in the opposite direction of the first connecting rod assembly 3.

[0116] The servo motor of the driving device 2 is powered on to drive the rotating sleeve 7 and the rotating shaft 6 to rotate. The rotating rotating sleeve 7 drives the first connecting rod 301 to rotate. The rotating first connecting rod 301 drives the first cross bar 302 to rotate, thereby driving the other first connecting rod 301 connected to the first cross bar 302 to rotate, thereby driving the other rotating sleeve 7 to rotate. The rotating shaft 6 fixedly connected to the other rotating sleeve 7 is then driven to rotate, so that the spaced guide devices 5 are rotated angularly. The main control unit in the first embodiment controls the rotation angle according to actual needs.

[0117] The third connecting rod assembly 9 includes a third active connecting rod 901, a third cross bar 902 and a third driven connecting rod 903. An extension shaft 14 is provided on the end of the rotating shaft 6 connected to the driving device 2. A movable sleeve 11 is provided on the extension shaft 14. The movable sleeve 11 can slide on the extension shaft 14. The third active connecting rod 901 is fixedly connected to the movable sleeve 11. The third active connecting rod 901 is fixedly connected to the movable sleeve 11. An adjusting sleeve 12 is provided on the end of the rotating shaft 6 connected to the first cross bar 302 close to the third driven connecting rod 903. The adjusting sleeve 12 is provided with a third driven connecting rod 903. The third active connecting rod 901 is connected to the third driven connecting rod 903. The third cross bar 902 is movably connected, and a vertical rotating shaft 904 is provided between the third cross bar 902 and the third driven link 903. The vertical rotating shaft 904 is used for the horizontal rotation of the third cross bar 902 and the third driven link 903. A transverse rotating shaft 905 is installed on the third cross bar 902. The transverse rotating shaft 905 is rotatably connected to the vertical rotating shaft 904. The transverse rotating shaft 905 is used to complete the longitudinal rotation movement between the third cross bar 902 and the third driven link 903. The connecting ends of the third cross bar 902 and the third driven link 903 are both provided with an arc to prevent the third cross bar 902 and the third driven link 903 from getting stuck when the third cross bar 902 tilts upward;

[0118] By rotating the rotating shaft 6 connected to the power output end of the servo motor of the driving device 2, the movable sleeve 11 connected to the other end of the rotating shaft 6 can be driven to rotate, thereby driving the third active connecting rod 901 to rotate, the rotating third active connecting rod 901 can drive the third cross bar 902 to rotate, and the rotating third cross bar 902 drives the third driven cross bar to rotate, thereby driving the adjusting sleeve 12 to rotate, and the adjusting sleeve 12 can drive the rotating shaft 6 fixedly connected thereto to rotate, and the other end of the rotating shaft 6 is connected to the second connecting rod assembly 4, and the second connecting assembly can drive the rotating sleeve 7 separated by the remaining guide device 5 connected to the first connecting assembly to rotate, thereby driving all the guide devices 5 to rotate;

[0119] It should be noted that if Figure 15 As shown, through the first connecting rod assembly 3, the second connecting rod assembly 4 and the third connecting rod assembly 9, the rotation angles of all the guide devices 5 are the same, but the rotation directions of the separated guide devices 5 are opposite;

[0120] The regulating assembly 10 is used to regulate the opening and closing of the flow guide device 5 inside the valve frame 1, including a spline 1006 provided on the extension shaft 14, a spline 1006 groove provided on the movable sleeve 11, a slider 1005 provided on the movable sleeve 11, and a top plate 1002 is installed by rotating the movable sleeve 11 through the slider 1005. The valve frame 1 is symmetrically provided with an electric telescopic rod 1003 along the direction of the movable sleeve 11, and the power output end of the electric telescopic rod 1003 is fixedly connected to the top plate 1002. The valve frame 1 is symmetrically provided with a telescopic spring 1004 along the direction of the movable sleeve 11, and the top of the telescopic spring 1004 is fixedly connected to the top plate 1002. 1 is also provided with a telescopic sleeve 1001, the top of the telescopic sleeve 1001 is fixedly connected to the top plate 1002, and the electric telescopic rod 1003 and the telescopic spring 1004 are both located inside the telescopic sleeve 1001. The telescopic sleeve 1001 can protect the internal components of the regulating device from damage by factors such as dust. The valve frame 1 is provided with a mounting frame 13, which consists of a top frame and four brackets. The driving device 2 is fixedly connected to the top frame on the mounting frame 13. The first connecting rod 301 on the rotating sleeve 7 connected to the driving device 2 has a moving range between two of the brackets on the mounting frame 13, and the rotation range of the first connecting rod 301 is 0°-90°.

[0121] When it is not necessary for all the flow guide devices 5 to rotate, the electric telescopic rod 1003 is energized to drive the top plate 1002 to move upward, so that the movable sleeve 11 connected to the top plate 1002 moves upward along the extension shaft 14, so that the spline 1006 groove inside the movable sleeve 11 disengages from the spline 1006 on the extension shaft 14, and the movable sleeve 11 is unlocked. At this time, the rotating shaft 6 connected to the movable sleeve 11 is driven to rotate by the driving device 2, and the movable sleeve 11 does not rotate synchronously with the rotating shaft 6, thereby preventing the flow guide device 5 connected to the second connecting rod assembly 4 from rotating.

[0122] It should be noted that the spline 1006 on the extension shaft 14 and the rotating shaft 6 of the electric telescopic rod 1003 are in the initial position when the electric telescopic rod 1003 is driven to operate. After the movable sleeve 11 disengages from the spline 1006 and completes the air delivery in the interval opening mode of the guide device 5, the driving device 2 drives the rotating shaft 6 to return to the initial position, that is, the spline 1006 on the extension shaft 14 returns to the initial position. At this time, the electric telescopic rod 1003 retracts, so that the movable sleeve 11 is re-stuck on the spline 1006 in the initial position, and the telescopic elastic force of the telescopic spring 1004 can accelerate the upward extension of the auxiliary electric telescopic rod 1003, preventing the electric telescopic rod 1003 from pushing the top plate 1002 at a slow speed due to the engagement of the spline 1006.

[0123] like Figure 13 As shown, in the initial state, the adjacent interval guide devices 5 do not rotate, as shown in FIG. Figure 14 As shown, this embodiment is aimed at when simple ventilation is required inside the factory. The electric telescopic rod 1003 is energized to drive the top plate 1002 to move upward, so that the movable sleeve 11 connected to the top plate 1002 moves upward along the extension shaft 14, so that the spline 1006 groove inside the movable sleeve 11 is disengaged from the spline 1006 on the extension shaft 14, and the movable sleeve 11 is unlocked. At this time, the rotating shaft 6 connected to the movable sleeve 11 is driven and rotated by the driving device 2, and the movable sleeve 11 does not rotate synchronously with the rotating shaft 6, thereby causing the guide device 5 connected to the second connecting rod assembly 4 to not rotate, and the air flow output of the air conditioner fan decreases. At this time, if the guide plate is fully opened, the air circulation efficiency under weak airflow is not high, and the interval opening and closing reduces the air flow outlet, thereby improving the output strength of the air flow and increasing the air circulation efficiency.

[0124] At the same time, for workshops that require precise control of air flow direction and wind pressure, such as semiconductor manufacturing workshops, the rotation angle of the guide device 5, i.e., the valve opening, can be precisely controlled in this state. The area where the heating equipment is located requires centralized cooling. The main control unit in the first embodiment controls the dynamic prediction module to predict in advance the future wind pressure demand of the heating area, and according to the wind pressure demand, the servo motor in the drive device 2 can be controlled to rotate at different angles to optimize the air flow direction blowing toward the heating equipment.

[0125] like Figure 15 As shown, the embodiment is aimed at a factory environment that requires concentrated air volume for rapid air circulation and cooling in a single area, such as a steel casting production plant. When the equipment in a certain area of ​​the factory is started, a large amount of high temperature and harmful gases will be generated. By rotating the rotating shaft 6 connected to the power output end of the servo motor of the driving device 2, the movable sleeve 11 connected to the other end of the rotating shaft 6 can be driven to rotate, thereby driving the third active connecting rod 901 to rotate, the rotating third active connecting rod 901 can drive the third cross bar 902 to rotate, and the rotating third cross bar 902 drives the third driven cross bar to rotate, thereby driving the adjustment sleeve 12 to rotate, and the adjustment sleeve 12 can drive the rotating shaft 6 fixedly connected thereto to rotate. The other end of the rotating shaft 6 is connected to the second connecting rod assembly 4, and the second connecting assembly can drive the rotating sleeve 7 separated by the remaining guide device 5 connected to the first connecting assembly to rotate, thereby driving all the guide devices 5 to rotate. At this time, the air volume passing through the guide device 5 in this state is concentrated and blown to the area. The strong concentrated airflow can blow away all the harmful gases in the area, achieving rapid cooling and air circulation in the area;

[0126] like Figure 16 As shown, the embodiment is targeted at production workshops in semi-enclosed conditions where rapid ventilation is required within the factory area, such as sterile food processing plants. In this state, the guide device 5 can be controlled by the main control unit to rotate all guide plates 90° to achieve the maximum opening of the maximum valve. At this time, the air circulation effect is maximized and the ventilation effect is optimal.

[0127] In summary, the driving device 2 can control the opening and closing degree of the valve through the first connecting rod assembly 3, the second connecting rod assembly 4 and the third connecting rod assembly 9, and control the movement of the movable sleeve 11 through the spline 1006 and the electric telescopic rod 1003 in the adjustment assembly 10 to complete the locking and unlocking of the rotation of different guide devices 5, thereby expanding the opening and closing mode of the valve guide device 5. It can not only flexibly adapt to the complex wind pressure, temperature and humidity and air flow control requirements in the industrial environment, but also accurately adjust the valve opening according to the specific scenario. Especially under the coordinated control of the main control unit and the dynamic prediction module, this device can dynamically analyze the real-time collected data and historical data, and generate the optimal opening and closing angle of the valve according to the nonlinear dynamic prediction model, further improving the adaptability and operation efficiency of the entire system in a complex industrial environment.

[0128] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in this industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with this profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the scope of protection of the technical solution of the present invention.

Claims

1. A variable air pressure dynamic control system for an air conditioning air flow organization system, characterized in that: include: Main control unit, used to collect and analyze wind pressure, temperature, humidity and flow parameter data; Dynamic prediction module generates variable wind pressure control instructions through analysis of real-time data and historical data; An actuator comprises an electromagnetic drive module and a flow guide device (5), wherein the electromagnetic drive module realizes precise adjustment of the valve opening through a current control formula, and the flow guide plate of the flow guide device (5) adjusts the air flow direction and optimizes the wind pressure distribution in the industrial environment; A sensor network, including distributed wind pressure sensors, temperature and humidity sensors, and flow sensors, is used to collect parameter data in the industrial environment in real time and transmit it to the main control unit; Feedback module, used to collect the operating status of the actuator in real time and transmit the feedback data to the main control unit for adjusting the control scheme; The main control unit generates the control instruction through the following steps: Fuzzy rule sets are used to analyze the real-time collected wind pressure, temperature, humidity and flow data to generate initial control instructions; Predict future wind pressure demands based on nonlinear dynamic prediction formulas, and modify the control values ​​based on environmental disturbance factors; Use artificial neural networks to optimize fuzzy control parameters and prediction results, and adjust control accuracy; Send optimized control instructions to the actuator to adjust the valve opening and air flow direction to adapt to changes in the industrial environment and maintain stable wind pressure; A variable air pressure dynamic control device for an air conditioning air flow organization system using the system comprises: A valve frame (1), and a flow guide device (5) arranged in an array inside the valve frame (1), wherein the flow guide device (5) is formed by coupling two groups of V-shaped flow guide leaves (8) and a rotating shaft (6) fixed in the middle of the two groups of flow guide leaves (8), a driving device (2) is provided on one side of the valve frame (1), a power output end of the driving device (2) is fixedly connected to the rotating shaft (6) at the edge of the flow guide device (5), and a rotating sleeve (7) is provided at one end of the rotating shaft (6) at the edge; A first connecting rod assembly (3) and a second connecting rod assembly (4) are arranged on a rotating sleeve (7), wherein the first connecting rod assembly (3) is used to drive the guide devices (5) spaced apart from the edge in sequence to complete synchronous rotation, the first connecting rod assembly (3) comprises a plurality of first connecting rods (301) and a first cross rod (302), each of the first connecting rods (301) is directly connected to the spaced rotating sleeve (7), the first cross rod (302) is rotationally connected to the plurality of first connecting rods (301), and the second connecting rod assembly (4) is fixedly connected to the rotating sleeve (7) not connected to the first connecting rod assembly (3) in a direction opposite to the first connecting rod assembly (3); The third connecting rod assembly (9) comprises a third active connecting rod (901), a third cross bar (902) and a third driven connecting rod (903); an extension shaft (14) is provided on one end of the rotating shaft (6) in a direction connected to the driving device (2); a movable sleeve (11) is provided on the extension shaft (14); the movable sleeve (11) can slide on the extension shaft (14); the third active connecting rod (901) is fixedly connected to the movable sleeve (11); the third active connecting rod (901) is fixedly connected to the movable sleeve (11); an adjustment sleeve (12) is provided on one end of the rotating shaft (6) connected to the first cross bar (302) close to the third driven connecting rod (903); the adjustment sleeve (12) is provided with the third driven connecting rod (903); the third active connecting rod (901) and the third driven connecting rod (903) are movably connected via the third cross bar (902); An adjusting assembly (10) is used to adjust the opening and closing of a flow guide device (5) inside a valve frame (1), comprising a spline (1006) arranged on an extension shaft (14), a spline (1006) groove being provided on the movable sleeve (11), a slider (1005) being provided on the movable sleeve (11), a top plate (1002) being rotatably mounted on the movable sleeve (11) via the slider (1005), an electric telescopic rod (1003) being symmetrically provided on the valve frame (1) along the direction of the movable sleeve (11), and a power output end of the electric telescopic rod (1003) being fixedly connected to the top plate (1002).

2. The variable air pressure dynamic control system of the air conditioning air flow organization system according to claim 1, characterized in that: The dynamic prediction module generates wind pressure prediction values ​​through the following nonlinear dynamic coupling model: in, , , , , , is the coupling coefficient obtained by regression of historical data; is the wind pressure function, is a function of temperature, is the humidity function, is the flow function; and are the rates of change of wind pressure and flow, respectively.

3. The variable air pressure dynamic control system for an air conditioning air flow organization system according to claim 1, characterized in that: The fuzzy rule generates the initial control command through the following fuzzy control algorithm: ； in, is the wind pressure, is temperature and humidity, For traffic, 、 and is the fuzzy membership function representation 、 and The fuzzy interval of is the correction value of the wind pressure control value; The membership function of the fuzzy output is calculated as: ; in, is the central value of the fuzzy rule, is the expansion width of the fuzzy rule; The control value output by the fuzzy control algorithm is calculated using the following formula: ； in, It is the correction value of the wind pressure control value and is dynamically optimized by the artificial neural network.

4. The variable air pressure dynamic control system for an air conditioning air flow organization system according to claim 3, characterized in that: The artificial neural network optimization is a machine learning algorithm used to optimize the algorithm results of control instructions in the control field.

5. The variable air pressure dynamic control system of the air conditioning air flow organization system according to claim 1, characterized in that: The electromagnetic drive module controller describes the current and wind pressure error The direct relationship formula is: ； in, For suitable wind pressure, is the current wind pressure, 、 and The sum of the proportional, integral and differential control weights, the wind pressure error It is the core input of the main control unit; The guide device (5) adjusts the guide plate angle by the following formula: ； in, The adjustment angle of the deflector; , is the adjustment coefficient of wind pressure deviation and change rate.

6. The variable air pressure dynamic control system for an air conditioning air flow organization system according to claim 1, characterized in that: A vertical rotating shaft (904) is provided between the third cross bar (902) and the third driven connecting rod (903), and the vertical rotating shaft (904) is used for the horizontal rotation of the third cross bar (902) and the third driven connecting rod (903). A transverse rotating shaft (905) is installed on the third cross bar (902), and the transverse rotating shaft (905) is rotationally connected to the vertical rotating shaft (904). The transverse rotating shaft (905) is used to complete the longitudinal rotation action between the third cross bar and the third driven connecting rod (903).

7. The variable air pressure dynamic control system of the air conditioning air flow organization system according to claim 6, characterized in that: The connecting ends of the third crossbar (902) and the third driven connecting rod (903) are both provided with an arc, so as to prevent the third crossbar (902) and the third driven connecting rod (903) from getting stuck when the third crossbar (902) tilts upward.

8. The variable air pressure dynamic control system for an air conditioning air flow organization system according to claim 1, characterized in that: A telescopic spring (1004) is symmetrically provided on the valve frame (1) along the direction of the movable sleeve (11), and the top end of the telescopic spring (1004) is fixedly connected to the top plate (1002). A telescopic sleeve (1001) is also provided on the valve frame (1), and the top end of the telescopic sleeve (1001) is fixedly connected to the top plate (1002), and the electric telescopic rod (1003) and the telescopic spring (1004) are both located inside the telescopic sleeve (1001).

9. The variable air pressure dynamic control system for an air conditioning air flow organization system according to claim 1, characterized in that: The valve frame (1) is provided with a mounting frame (13), the mounting frame (13) is composed of a top frame and four brackets, the driving device (2) is fixedly connected to the top frame on the mounting frame (13), the first connecting rod (301) on the rotating sleeve (7) connected to the driving device (2) has a moving range between two brackets of the mounting frame (13), and the rotation range of the first connecting rod (301) is 0°-90°.

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