Integrated ultra-clean filtration air conditioning method, system, device and storage medium

Abstract

The present application relates to air purification and air conditioning technical field, specifically to a kind of integrated super-clean filtration air conditioning method, system, device and storage medium.Method includes the following steps: variable air volume delivery step, according to the current operating state of clean room dynamically determine target air supply, adjust purification fan speed according to target air supply, so that actual air supply tracks target air supply;Temperature difference compensation step, combined with the heat generated by the current speed of purification fan corresponding, calculate to obtain temperature compensation value, temperature compensation value is added to the target air temperature of surface cooler, to compensate the additional temperature rise generated by purification fan operation.The present application can calculate the influence factor of fan heat generation on air supply temperature and actively compensate by real-time acquisition of purification fan motor temperature and speed signal, effectively solve the technical problem that fan temperature rise interferes with temperature control precision, realize ±0.5℃High-precision temperature control, significantly improve the temperature control stability of clean room.

Description

Technical Field

[0001] This invention relates to the field of air purification and air conditioning technology, specifically to an integrated ultra-clean filtration air conditioning method, system, device, and storage medium. Background Technology

[0002] In places with strict requirements for air cleanliness and temperature and humidity, such as biopharmaceutical manufacturing, semiconductor manufacturing, medical operating rooms, and precision instrument assembly, a split design of "air conditioning unit + high-efficiency filter air outlet" is usually adopted. For example, the air conditioning equipment (including surface cooler, heater, fan, etc.) is centrally located in a dedicated air conditioning room, while high-efficiency or ultra-high-efficiency filter devices are distributed and installed at the air supply terminals in the clean room ceiling. The two are connected by long supply and return air ducts to form an air circulation system.

[0003] However, this traditional architecture suffers from the following long-standing technical problems in practical applications:

[0004] Low system integration and large space occupation: The air conditioning room needs to occupy a separate area, and a large amount of space needs to be reserved in the ceiling for duct installation, which leads to an increase in building height and civil engineering costs.

[0005] Fan temperature rise affects control accuracy: In traditional solutions, the motor temperature rise generated by the fan operation will continuously affect the air supply temperature. The existing control system fails to compensate for this additional thermal interference in real time, making it difficult to achieve the high standard requirement of ±0.5℃ for temperature control accuracy.

[0006] Maintaining positive pressure indoors is difficult: In traditional split-type systems, the air supply volume adjustment and indoor pressure control are coupled. Adjusting the air supply volume can easily lead to positive pressure imbalance, causing unfiltered outdoor air to seep into the clean room.

[0007] Risk of filter clogging: When the filter resistance increases or the ambient humidity is high, the condensate produced by the surface cooler may adhere to the filter surface, forming a wet blockage, which seriously affects the filtration efficiency and cleanliness.

[0008] Condensate drainage relies on power equipment: Traditional air conditioning systems require power equipment such as drain pumps to drain condensate, which increases energy consumption and potential points of failure. Summary of the Invention

[0009] This disclosure presents an integrated ultra-clean filtration air conditioning method, system, device, and storage medium, with the aim of overcoming at least one of the defects existing in the prior art.

[0010] To achieve the above objectives, the technical solution disclosed in this invention is as follows:

[0011] According to one aspect of this disclosure, an integrated ultra-clean filtration air conditioning method is provided, comprising the following steps:

[0012] Step 1: Variable air volume delivery step. The target air volume is dynamically determined based on the current operating status of the cleanroom. The speed of the purification fan is adjusted according to the target air volume so that the actual air volume tracks the target air volume.

[0013] Step 2: Temperature difference compensation step. Obtain the deviation between the measured temperature and the set temperature of the indoor temperature and humidity sensor. Combine the heat generated corresponding to the current speed of the air purifier fan to calculate the temperature compensation value. Add the temperature compensation value to the target outlet air temperature of the surface cooler to compensate for the additional temperature rise generated by the operation of the air purifier fan.

[0014] Step 3: Pressure equalization step. The actual pressure value in the cleanroom is obtained through the differential pressure sensor. The deviation between the actual pressure value and the set positive pressure target is calculated. The opening of the electric regulating valve on the air supply duct is adjusted according to the pressure deviation to achieve precise maintenance of positive pressure in the room.

[0015] Step 4: Cleanliness priority step. When the filter differential pressure signal exceeds the preset cleanliness threshold, reduce the cooling power of the surface cooler to reduce the amount of condensate generated, and at the same time increase the speed of the purification fan to increase the air supply penetration and prevent wet blockage.

[0016] Step 5: Condensation self-driving step. Utilizing the negative pressure zone formed by the airflow upstream of the ultra-high efficiency filter, the condensate generated by the surface cooler is actively drawn to the drain pipe through the siphon effect, achieving self-driving discharge of condensate without the need for external power.

[0017] Furthermore, step one also includes an adaptive learning step for air supply volume: recording the air supply volume demand data of the cleanroom under different operating conditions, building an air supply volume prediction model based on the data; predicting the target air supply volume for the next period based on the prediction model, and adjusting the speed of the purification fan in advance to reduce response delay.

[0018] Furthermore, step two specifically includes: real-time acquisition of the motor temperature and speed signals of the purification fan, calculation of the influence factor of motor heat generation on the air supply temperature; dynamic correction of the PID controller setpoint based on the influence factor to achieve active compensation for the outlet air temperature of the surface cooler.

[0019] Furthermore, step three also includes a differential pressure fluctuation suppression step: the differential pressure sensor signal in the cleanroom is filtered by moving average to eliminate valve position jitter caused by instantaneous interference; when the pressure deviation is detected to exceed the stable range, the rapid adjustment mode is activated to increase the valve position adjustment range, and the normal adjustment mode is restored when the deviation falls back to the stable range.

[0020] Furthermore, it also includes collaborative control steps: when multiple air conditioning units are arranged in the cleanroom, obtain particulate matter concentration distribution data for the service area of ​​each unit; based on the particulate matter concentration distribution data, identify high-concentration areas and low-concentration areas, prioritize increasing the air conditioning unit purification fan speed in high-concentration areas, and at the same time reduce the purification fan speed in low-concentration areas to save energy; according to the pressure coupling characteristics of each area, calculate the optimal allocation scheme of air supply volume for each unit to maintain pressure balance throughout the room.

[0021] Furthermore, the collaborative control steps also include a fault redundancy step: real-time monitoring of the operating status of each unit; when a fault is detected in the target unit, obtaining the current operating parameters of at least one neighboring unit adjacent to the target unit; calculating the compensation air volume based on the remaining adjustment margin of the neighboring units, and adding the compensation air volume to the target air volume of the neighboring units.

[0022] Furthermore, it also includes energy consumption optimization steps: obtaining the current cooling or heating load demand, and determining whether the ratio of the load demand to the system's rated capacity is lower than the preset economic load point; when the ratio is lower than the economic load point, reducing the speed of the purification fan to the minimum threshold for maintaining positive pressure indoors, and at the same time appropriately reducing the proportion of fresh air introduction to reduce cooling and heating load.

[0023] According to another aspect of this disclosure, an integrated ultra-clean filtration air conditioning system is provided to realize the above-mentioned integrated ultra-clean filtration air conditioning method, comprising: a variable air volume (VAV) adjustment module for dynamically determining the target air supply volume and adjusting the speed of the purification fan according to the cleanroom operating status; a temperature difference compensation module for calculating the impact of the heat generated by the purification fan on the air supply temperature and outputting a temperature compensation value; a pressure balancing module for acquiring the cleanroom pressure difference signal and adjusting the electric regulating valve of the air supply duct to maintain positive pressure; a cleanliness priority module for coordinating the reduction of cooling capacity and the increase of fan speed when the filter pressure difference is abnormal; a condensation self-driving module for realizing the siphon-driven self-driving discharge of condensate using the negative pressure zone of the air supply; a collaborative control module for optimizing the distribution of air supply volume among multiple units based on the particulate matter concentration distribution; and an energy consumption optimization module for automatically reducing operating energy consumption under low load conditions.

[0024] According to another aspect of this disclosure, an integrated ultra-clean filtration air conditioning device is provided, including an indoor air conditioning unit, a purification fan, and a controller; the indoor air conditioning unit integrates an air conditioning fan, and an air return air vent and an air outlet are provided on its side; the indoor air conditioning unit is equipped with a surface cooler and an electric heater, with the surface cooler located upstream of the electric heater; a fresh air regulating valve is provided on the air inlet side of the indoor air conditioning unit; the purification fan is located above or on one side of the indoor air conditioning unit, with its air inlet directly connected to the air outlet or connected through a flexible connecting section with a length not exceeding 0.5m, and its air outlet connected to an ultra-high efficiency filter; a drain pump is located at the bottom of the indoor air conditioning unit or below the surface cooler; a return air plate is located on the ceiling or wall corresponding to the air return air vent; the controller is electrically connected to the air conditioning fan, the purification fan, the surface cooler, the electric heater, the fresh air regulating valve, and the drain pump, respectively, for performing the integrated ultra-clean filtration air conditioning method as claimed in any one of claims 1 to 7.

[0025] According to another aspect of this disclosure, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the above-described integrated ultra-clean filtration air conditioning method.

[0026] The beneficial effects of this invention are:

[0027] This invention, by real-time acquisition of the temperature and speed signals of the purification fan motor, can calculate the impact factor of the fan's heat generation on the supply air temperature and actively compensate for it. This effectively solves the technical problem of fan temperature rise interfering with temperature control accuracy, achieving high-precision temperature control of ±0.5℃ and significantly improving the temperature control stability of cleanrooms. Traditional cleanroom air conditioning systems often neglect the impact of fan heat generation on temperature control accuracy, while this invention, through temperature drift modeling and real-time compensation, controls temperature fluctuations within an extremely small range, meeting the stringent requirements of high-precision production environments.

[0028] Regarding pressure control, this invention eliminates transient interference through a pressure difference fluctuation suppression step, achieving precise maintenance of positive pressure in the cleanroom. Positive pressure in a cleanroom is a key parameter preventing the infiltration of unfiltered outdoor air. Existing technologies typically rely on simple pressure threshold control, which is easily affected by factors such as door opening and closing, and personnel movement, leading to fluctuations. The pressure equalization control of this invention can respond to pressure difference changes in real time and quickly adjust the air supply volume, ensuring that the positive pressure remains stable above the set value, effectively guaranteeing the cleanroom's airtightness and filtration efficiency.

[0029] When an abnormal pressure difference is detected in the filter, this invention can automatically coordinate a reduction in cooling power and an increase in fan speed to prevent condensate from accumulating on the filter surface and causing blockage. Blockage is a common malfunction in cleanrooms operating under high humidity conditions in summer. Existing technologies typically only trigger an alarm when the pressure difference exceeds the limit, by which time filtration efficiency has already decreased. This invention, by predicting pressure difference trends, proactively adjusts operating parameters before blockage occurs, effectively ensuring continuous and stable filtration efficiency.

[0030] This invention also utilizes a negative pressure zone in the air supply to achieve siphon-type condensate drainage, eliminating the need for additional power equipment and significantly reducing the energy consumption of the drain pump and the number of potential failure points. Traditional cleanroom air conditioning systems require a separate condensate drain pump, which not only increases energy consumption but also introduces additional potential failures. The self-driven condensate design of this invention utilizes fluid dynamics principles to convert the suction force of the negative pressure zone into the power for condensate drainage, achieving powerless drainage and making operation more energy-efficient and reliable.

[0031] In terms of global optimization, this invention identifies and prioritizes high-concentration areas based on particulate matter concentration distribution, while simultaneously optimizing the airflow allocation to each unit to minimize total energy consumption while ensuring cleanliness. Existing technologies typically employ a uniform airflow mode, neglecting the uneven distribution of particulate matter concentration within cleanrooms. In contrast, the collaborative control strategy of this invention prioritizes airflow resources to the most contaminated areas, achieving optimal cleanliness with minimal energy consumption.

[0032] Furthermore, when a unit fails, the fault redundancy mechanism of this invention enables neighboring units to automatically compensate for the air supply volume, preventing the cleanroom from shutting down due to a single point of failure and significantly improving the system's availability and reliability. The highly integrated design combines the air conditioning indoor unit, purification fan, surface cooler, electric heater, and drainage pump into one unit, eliminating the need for a separate air conditioning room and long-distance ductwork, thus greatly saving installation space and infrastructure costs. It is particularly suitable for cleanroom renovation projects with limited space.

[0033] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0034] Figure 1 This is a flowchart of an integrated ultra-clean filtration air conditioning method according to an embodiment of the present invention.

[0035] Figure 2 This is a diagram illustrating the temperature field distribution effect in a cleanroom according to one embodiment of the present invention.

[0036] Figure 3 This is a diagram illustrating the velocity field distribution effect in a cleanroom according to one embodiment of the present invention.

[0037] Figure 4 This is a diagram illustrating the particulate matter concentration field distribution effect in one embodiment of the present invention.

[0038] Figure 5 This is a diagram showing the distribution effect of the system energy efficiency ratio in one embodiment of the present invention.

[0039] Figure 6 This is a response curve of air supply temperature control in one embodiment of the present invention.

[0040] Figure 7 This is a diagram illustrating the effect of multi-unit collaborative control in one embodiment of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] The term "comprising," and any variations thereof, used in the specification and claims of this application, is intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or apparatus. Furthermore, the use of "and / or" in the specification and claims indicates at least one of the connected objects, such as A and / or B, indicating the inclusion of A alone, B alone, or both A and B.

[0043] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0044] The present invention provides the following preferred embodiments:

[0045] Example 1: Reference Figures 1 to 4 As shown, the integrated ultra-clean filtration air conditioning method of the present invention includes five core steps: variable air volume delivery, temperature difference compensation, pressure equalization, cleanliness priority, and condensation self-driving. The following provides a detailed explanation of each step in conjunction with specific application scenarios.

[0046] First, the first step, the variable air volume (VAV) delivery step, is executed. This step dynamically determines the target air volume based on the current operating status of the cleanroom and adjusts the airflow rate of the purification fan to ensure the actual airflow matches the target volume. In actual operation, the airflow demand of the cleanroom changes with factors such as the number of people in the room and the heat generated by the equipment. Traditional constant air volume (CAV) systems cannot adapt to these dynamic changes, leading to energy waste or insufficient cleanliness. This invention, by collecting indoor environmental parameters in real time and combining them with historical operating data, predicts the airflow demand for the next period and adjusts the purification fan speed in advance, avoiding response delays.

[0047] The specific implementation method of the variable air volume (VAV) delivery system is as follows: First, the controller collects real-time data from indoor temperature and humidity sensors, CO2 concentration sensors, and differential pressure sensors. Combining this with the current time, date, and historical operating records, it analyzes the current operating status of the cleanroom. Then, based on the air volume prediction model built from historical data, it calculates the target air volume for the next time period (typically 15-30 minutes). Finally, according to the deviation between the target air volume and the actual air volume, the output frequency of the air purifier fan inverter is adjusted to ensure the fan speed tracks the target air volume.

[0048] Next, step two, the temperature difference compensation step, is executed. This step obtains the deviation between the measured temperature and the set temperature from the indoor temperature and humidity sensor, and calculates the temperature compensation value by combining it with the heat generated corresponding to the current speed of the air purifier fan. The temperature compensation value is then added to the target outlet air temperature of the surface cooler to compensate for the additional temperature rise generated by the operation of the air purifier fan.

[0049] Specifically, during operation, the motor of the air purifier fan generates a significant amount of heat. This heat is transferred to the fan casing and enters the airflow. Assuming the motor efficiency of the air purifier fan is η, and the heat generated by the motor is Q... heat It can be represented as:

[0050] Q heat =P motor ×(1-η);

[0051] Among them, P motor Here, η represents the motor input power, and η represents the motor efficiency. When the speed of the purifier fan changes, the motor input power and heat generation also change. Taking a certain model of EC fan as an example, when the speed drops from 100% to 50%, the motor heat generation decreases by approximately 75%. If the control system fails to compensate for this heat change in a timely manner, it will lead to a significant deviation in the supply air temperature.

[0052] This invention calculates the influence factor of motor heat generation on supply air temperature by real-time acquisition of motor temperature and speed signals of the purification fan. The specific calculation method is as follows: First, a relationship model between supply air temperature and fan heat generation and cooling capacity is established through the heat balance equation; then, the temperature compensation value is calculated based on the heat generation corresponding to the current fan speed; finally, the temperature compensation value is superimposed on the set value of the PID controller to achieve active compensation of the outlet air temperature of the surface cooler.

[0053] refer to Figure 6 As shown in the temperature control response curve, the temperature control accuracy of the system is significantly improved, the overshoot is reduced, and the response speed is accelerated after temperature difference compensation is adopted. Specifically, when the speed of the purification fan changes abruptly, the traditional system needs about 45 seconds to restore the temperature to the set value within ±0.5℃, while the system of this invention with temperature difference compensation only needs about 20 seconds, which is more than double the response speed.

[0054] Next, step three, the pressure equalization step, is performed. This step uses a cleanroom differential pressure sensor to obtain the actual indoor pressure value, calculates the deviation between the actual pressure value and the set positive pressure target, and adjusts the opening of the electric regulating valve on the air supply duct according to the pressure deviation to achieve precise maintenance of the indoor positive pressure.

[0055] This step also includes a differential pressure fluctuation suppression step: the cleanroom differential pressure sensor signal is filtered by moving average to eliminate valve position jitter caused by transient interference; when a pressure deviation is detected to exceed the stable range, a rapid adjustment mode is activated to increase the valve position adjustment amplitude; once the deviation falls back to the stable range, the normal adjustment mode is restored. This dual-mode control strategy can effectively solve the common "oscillation" problem in cleanroom pressure control and achieve stable maintenance of positive pressure.

[0056] Specifically, the window length of the moving average filter is typically set to 5–15 seconds, effectively filtering out instantaneous pressure fluctuations caused by sensor noise and airflow disturbances. When the pressure deviation exceeds the stable range (usually set to ±1 Pa), the controller switches to a fast adjustment mode, increasing the valve adjustment speed by 2–3 times; once the deviation falls back to the stable range, it automatically reverts to the regular PID control mode. This strategy ensures both rapid response and avoids oscillations caused by over-adjustment.

[0057] Subsequently, step four, the cleanliness priority step, is executed. When the filter differential pressure signal exceeds the preset cleanliness threshold, the cooling power of the surface cooler is reduced to decrease the amount of condensate generated, while the speed of the purification fan is increased to increase the airflow penetration and prevent moisture blockage.

[0058] The benefit of this step is that when increased filter resistance is detected, the traditional approach is usually to simply increase the fan speed to maintain airflow. However, this method may cause condensation to adhere to the filter surface in high humidity environments, forming wet blockage and actually reducing filtration efficiency. This invention employs a synergistic strategy of "cooling + speed increase": on the one hand, reducing cooling power to decrease condensation generation; on the other hand, increasing fan speed to enhance airflow penetration. These two measures together maintain sufficient airflow while preventing wet blockage.

[0059] Specifically, when the filter differential pressure exceeds the cleanliness threshold (typically 1.5 to 2 times the initial differential pressure), the controller implements a cleanliness-priority strategy: firstly, it reduces the cooling power of the surface cooler by 20% to 40%, which raises the outlet air temperature of the surface cooler by 2 to 4°C and reduces relative humidity, thereby reducing condensation formation; simultaneously, it increases the speed of the purification fan by 15% to 30%, enhancing the penetration of the airflow onto the filter surface and preventing condensation droplets from accumulating on the filter surface. This coordinated control strategy effectively extends the filter's lifespan while ensuring filtration efficiency.

[0060] Finally, step five, the self-driving condensation step, is performed. This step utilizes the negative pressure zone formed by the airflow upstream of the ultra-high efficiency filter to actively draw the condensate produced by the surface cooler to the drain pipe through the siphon effect, achieving self-driving condensate discharge without the need for external power.

[0061] The benefit of this step is that traditional air conditioning systems require power equipment such as drain pumps to drain condensate, increasing energy consumption and potential points of failure. This invention utilizes a negative pressure zone created upstream of the filter after pressurization by a purification fan (the size of this negative pressure zone is proportional to the filter resistance) to draw condensate to the drain pipe via a siphon system. This design allows condensate drainage to rely entirely on the negative pressure of the airflow system itself, eliminating the need for additional power equipment, thus saving energy and improving system reliability.

[0062] Specifically, when the filter resistance is 200 Pa, the negative pressure upstream of the filter is approximately 150–180 Pa. This negative pressure is sufficient to overcome the frictional resistance of the siphon pipe (approximately 50–100 Pa) and draw condensate into the drain pipe. As the filter resistance gradually increases, the upstream negative pressure also increases, and the siphon force automatically strengthens, achieving adaptive adjustment of the condensate discharge volume.

[0063] Example 2: This example provides a detailed explanation of the collaborative control steps:

[0064] When the cleanroom area is large (e.g., over 100m²), a single air conditioning unit cannot meet the air conditioning needs of the entire cleanroom, requiring multiple air conditioning units to be arranged in an array. This invention achieves coordinated operation of multiple air conditioning units through a collaborative control process, ensuring uniform air quality throughout the cleanroom.

[0065] The coordinated control process includes the following steps:

[0066] The first step is particulate matter concentration distribution identification. Each unit's local controller periodically collects particulate matter concentration sensor data within its service area and uploads the data to the central controller. The central controller then constructs a full-room concentration distribution map based on the particulate matter concentration data from each area, identifying high-concentration and low-concentration areas.

[0067] The second step is differentiated airflow allocation. Based on the particulate matter concentration distribution identification results, the central controller allocates a higher share of airflow to high-concentration areas, while appropriately reducing the airflow to low-concentration areas. This differentiated allocation strategy can minimize total energy consumption while ensuring overall room cleanliness. A specific allocation algorithm can be a concentration-based weighted allocation model.

[0068] Q i =Q base ×(1+α×(C i -C target ) / C target );

[0069] Among them, Q i Let Q be the target air supply volume for the i-th unit. base The base air volume is α, the distribution coefficient is C. i Let C be the particulate matter concentration in the i-th region. target The target concentration is used as the reference. When the concentration in a certain area is higher than the target concentration, the air supply volume increases; conversely, the air supply volume decreases.

[0070] The third step is pressure coupling correction. Because of the pressure coupling relationship between different zones, changing the airflow in one zone will affect the pressure in adjacent zones. Therefore, the central controller calculates the optimal adjustment scheme for the airflow of each unit based on the pressure coupling matrix, ensuring that the pressure balance throughout the room is maintained while adjusting the airflow. The element H of the pressure coupling matrix... ij This represents the influence coefficient of the change in air volume of the j-th unit on the pressure of the i-th region.

[0071] The fourth step is fault redundancy. When a unit fails, the central controller immediately initiates the fault redundancy steps: acquiring the current operating parameters of at least one neighboring unit adjacent to the failed unit; calculating the compensation air volume based on the remaining adjustment margin of the neighboring units; and adding the compensation air volume to the target air volume of the neighboring units, so that the neighboring units automatically increase their air volume to make up for the shortfall of the failed unit.

[0072] refer to Figure 7 As shown in the figure, this embodiment demonstrates the effect of multi-unit collaborative control by combining time series curves and deviation heatmaps. The figure shows that, under the effect of collaborative control, the temperature distribution in the service areas of each unit is uniform, and the deviation of the temperature value from the set value in each area is within ±0.2℃. Simultaneously, the particulate matter concentration in each area is maintained at a low level, meeting the cleanliness requirements.

[0073] Example 3: This example provides a detailed explanation of the energy consumption optimization steps.

[0074] The energy consumption of cleanroom air conditioning systems mainly comes from three aspects: the energy consumption of the purification fan, the cooling energy consumption of the surface cooler, and the heating energy consumption of the electric heater. Traditional systems often adopt a constant-speed operation strategy when operating under partial load conditions, resulting in low energy efficiency ratio and serious energy waste.

[0075] The energy consumption optimization step of this invention automatically adjusts the system operation strategy based on the current load rate to achieve energy-saving operation. The specific method is as follows:

[0076] First, obtain the current cooling or heating load demand. Load demand can be estimated in real time using indoor temperature and humidity sensor data combined with a building heat capacity model, or it can be calculated directly by measuring refrigerant flow rate and pressure difference. The formula for load estimation is as follows:

[0077] Q load =ρ×V×C p ×(T t -T s );

[0078] Among them, Q load Where ρ is the heat load, V is the air density, and C is the supply air volumetric flow rate. p T is the specific heat capacity of air. t For the target temperature, T s This refers to the supply air temperature.

[0079] Next, it is determined whether the ratio of load demand to the system's rated capacity (i.e., the load factor) is lower than the preset economic load point. The economic load point is usually set in the range of 40% to 60% of the rated capacity. This setting takes into account the balance between the energy-saving effect of the fan frequency converter and the decrease in system efficiency.

[0080] When the load rate is below the economic load point, implement energy-saving control strategies: reduce the speed of the air purifier fan to the minimum threshold for maintaining positive indoor pressure; at the same time, appropriately reduce the proportion of fresh air intake to reduce heating and cooling loads; and if necessary, turn off some electric heating elements to save energy. When the load rate rises back above the economic load point, gradually restore normal operation strategies.

[0081] refer to Figure 5 As shown in the radar chart, the system of this invention significantly outperforms the traditional system in all performance dimensions. Particularly in the energy-saving dimension, the system of this invention scores over 90 points, while the traditional system only scores around 40 points. This is mainly due to the energy consumption optimization strategy and short-distance air supply design of this invention.

[0082] Example 4: This example provides a detailed description of the integrated ultra-clean filtration air conditioning device:

[0083] The integrated ultra-clean filtration air conditioning device of the present invention includes main components such as an indoor air conditioning unit, a purification fan, a controller, an ultra-high efficiency filter, a return air plate, and a drain pump. The specific structure and spatial layout of each component are as follows:

[0084] The entire unit adopts a modular integrated design, with core components such as the indoor air conditioning unit, purification fan, and ultra-high efficiency filter arranged sequentially to form a compact spatial layout. The indoor air conditioning unit is located at the bottom of the unit, integrating the air conditioning fan, surface cooler, and electric heater; the purification fan is located above the indoor air conditioning unit and is connected to the air outlet of the indoor air conditioning unit via a flexible connection section; the ultra-high efficiency filter is located above the purification fan and is directly connected to the air outlet of the purification fan.

[0085] The indoor unit of the air conditioner integrates an air conditioning fan, with return air vents and air outlets located on its side. The air conditioning fan is a low-noise centrifugal fan, and the impeller has been dynamically balanced for smooth operation and minimal vibration. The return air vent is equipped with a primary filter to filter larger particles and protect the internal heat exchanger.

[0086] The indoor unit of the air conditioner contains a surface cooler and an electric heater, with the surface cooler located upstream of the electric heater. The surface cooler uses a copper tube with aluminum fins; refrigerant flows through the copper tubes, and the aluminum fins increase the heat exchange area and improve heat exchange efficiency. The electric heater uses a PTC ceramic heating element, which has a self-limiting temperature function and is safe and reliable.

[0087] The purification fan is installed above the indoor unit of the air conditioner, and its air inlet is connected to the air outlet of the air conditioner via a flexible connection section no longer than 0.5m. The purification fan uses a stepless speed-regulating high-efficiency centrifugal fan, with an EC motor or a BLDC motor. The EC motor adopts permanent magnet synchronous motor technology, which improves efficiency by more than 30% compared with traditional AC motors; at the same time, the heat generation of the EC motor can be monitored in real time, providing key data support for the temperature difference compensation process.

[0088] The ultra-high efficiency filter uses ultra-fine glass fiber filter paper as the filter material, achieving a filtration efficiency of over 99.999% for particles with a diameter of 0.3μm. The filter frame is made of aluminum alloy, making it lightweight, sturdy, and providing excellent sealing performance. The filter's outlet side connects to the air supply duct, and the inlet side connects to the air outlet of the purification fan.

[0089] The controller employs a high-performance microprocessor chip and features multiple analog and digital input / output interfaces, enabling it to acquire various sensor signals and output control commands. The controller incorporates the execution logic for each step of the integrated ultra-clean filtration air conditioning method of this invention, achieving precise adjustment of each actuator.

[0090] Example 5: The computer-readable storage medium of the present invention stores a computer program, which, when executed by a processor, implements the integrated ultra-clean filtration air conditioning method of the present invention. The computer program includes the following program modules:

[0091] The variable air volume (VAV) control module dynamically determines the target air supply volume and adjusts the speed of the purification fan based on the cleanroom's operating status. It includes an air supply volume prediction submodule and a fan speed control submodule. The air supply volume prediction submodule builds a prediction model based on historical operating data to predict the target air supply volume for the next period in advance; the fan speed control submodule adjusts the purification fan speed according to the target air supply volume.

[0092] The temperature difference compensation module is used to calculate the impact of the heat generated by the purifier fan on the supply air temperature and output a temperature compensation value. It includes a heat generation calculation submodule and a compensation value output submodule. The heat generation calculation submodule calculates the current heat generation based on the motor temperature and speed signals; the compensation value output submodule adds the temperature compensation value to the target outlet air temperature of the surface cooler.

[0093] The pressure equalization module is used to acquire the differential pressure signal in the cleanroom and adjust the electric regulating valves in the air supply duct to maintain positive pressure. It includes a signal filtering submodule and a valve regulating submodule. The signal filtering submodule performs moving average filtering on the differential pressure signal; the valve regulating submodule adjusts the opening of the electric regulating valve according to the pressure deviation.

[0094] The cleanliness priority module coordinates the reduction of cooling capacity and the increase of fan speed when the filter pressure difference is abnormal. It includes a differential pressure monitoring submodule and a collaborative control submodule. The differential pressure monitoring submodule monitors the filter differential pressure signal in real time; the collaborative control submodule performs both cooling reduction and speed increase operations when the differential pressure exceeds the limit.

[0095] The condensation self-drive module is used to achieve siphon-driven self-drive discharge of condensate by utilizing the negative pressure zone of the air supply, without the need for external power equipment.

[0096] The collaborative control module is used for optimized allocation of air volume among multiple units based on particulate matter concentration distribution. It includes a concentration distribution identification submodule, an air volume allocation submodule, and a fault redundancy submodule.

[0097] The energy consumption optimization module is used to automatically reduce operating energy consumption under low load conditions, including a load estimation submodule and an economic load point judgment submodule.

[0098] Example 6: This example provides a detailed description of the practical application of the integrated ultra-clean filtration air conditioning method in a biopharmaceutical cleanroom.

[0099] The biopharmaceutical industry has extremely stringent requirements for the cleanliness of its production environment, typically requiring cleanrooms to meet ISO 7 or even ISO 5 standards. Taking a certain biopharmaceutical company as an example, its production workshop uses the integrated ultra-clean filtration air conditioning method of this invention for air conditioning. The workshop area is approximately 200 square meters, divided into four clean areas, with two air conditioning units of this invention installed in each area, totaling eight units forming a collaborative control system.

[0100] In actual operation, the temperature difference compensation step of this invention effectively solves the problem of the impact of heat generation from the purification fan on temperature control accuracy. Actual measurements show that after temperature difference compensation, the temperature control accuracy of each clean area reaches within ±0.2℃, far exceeding the ±1.0℃ accuracy of traditional systems. Simultaneously, the pressure equalization step ensures that the positive pressure in each area is maintained within the range of 8–12 Pa, meeting the stringent requirements of biopharmaceutical production.

[0101] The cleanliness priority step also played a crucial role in actual operation. During one production process, due to adjustments in the production process, the indoor humidity rose to 70% RH, approaching the critical condition for moisture blockage. At this point, the cleanliness priority step automatically activated, reducing the cooling power of the surface cooler by 25% while increasing the speed of the purification fan by 20%. Approximately 15 minutes later, the filter differential pressure dropped from 280 Pa to 240 Pa, successfully preventing moisture blockage.

[0102] In terms of energy consumption, the annual power consumption of the system of this invention is about 55% of that of the traditional system, and the energy saving effect reaches 45%. This is mainly due to: the short-distance air supply design significantly reduces the energy consumption of the fan; the energy consumption optimization step automatically reduces the operating energy consumption under partial load; and the condensation self-drive step eliminates the energy consumption of the drainage pump.

[0103] In terms of installation, the construction period for this invention's system is approximately two weeks, while traditional systems require about two months. This is mainly due to the modular design, which allows each component to be pre-assembled before leaving the factory, requiring only simple hoisting and wiring work on-site.

[0104] In terms of maintenance, the maintenance workload of the system of this invention is about 30% of that of traditional systems. This is mainly due to the integrated design that concentrates all components in the ceiling space, allowing maintenance personnel to complete daily maintenance work without entering the machine room or mezzanine.

[0105] Example 7: This example provides a detailed description of the practical application of the integrated ultra-clean filtration air conditioning method in a hospital operating room.

[0106] Hospital operating rooms have extremely high requirements for air cleanliness and temperature and humidity control, typically requiring a room temperature of 22-25°C, a relative humidity of 40%-60%, and a cleanliness level of ISO 5. Taking a top-tier hospital as an example, its operating department has 12 operating rooms, each equipped with one air conditioning unit of this invention. Each unit operates independently but is managed uniformly through a central monitoring system.

[0107] In actual operation, the temperature and humidity control accuracy of each operating room reaches ±0.3℃ / ±2%RH, meeting the stringent requirements of operating rooms. Especially during long-term surgeries lasting 4 to 6 hours, the temperature difference compensation mechanism ensures that the temperature remains stable, avoiding temperature drift caused by accumulated heat from the fans.

[0108] The cleanliness priority step has also played a crucial role in actual operation. During a cardiac surgery, due to the large number of medical staff involved (up to 8 people), the indoor humidity once rose to 65%RH. At this time, the cleanliness priority step automatically activated, effectively preventing water vapor generated during the surgery from accumulating on the filter surface and ensuring air cleanliness throughout the entire surgical process.

[0109] The pressure equalization process ensures a positive pressure environment in the operating room. Maintaining the positive pressure within the range of 12–15 Pa effectively prevents air from the corridor from entering the operating room, reducing the risk of postoperative infection.

[0110] The system of this invention has the following significant advantages when applied in the operating room: First, the temperature difference compensation step ensures that the temperature remains stable throughout the long operation; second, the pressure equalization step maintains a positive pressure environment in the operating room to prevent postoperative infection; finally, the condensation self-driving step eliminates the noise pollution caused by the drainage pump, providing a quiet environment for surgery, with the noise level in the operating room controlled below 40dB.

[0111] Example 8: This example provides a detailed explanation of the adaptive learning steps for air supply volume.

[0112] The adaptive learning step of this invention records the air supply volume demand data of the cleanroom under different operating conditions, builds an air supply volume prediction model based on the data, predicts the target air supply volume for the next period according to the prediction model, and adjusts the speed of the purification fan in advance to reduce response delay.

[0113] The air supply volume prediction model is constructed as follows: The controller continuously records historical data on the cleanroom's air supply volume demand, including the correspondence between factors such as the number of people in the room, equipment operating status, and outdoor weather conditions, and the air supply volume demand. Based on this historical data, the controller uses machine learning algorithms (such as gradient boosting trees or long short-term memory networks) to construct the air supply volume prediction model.

[0114] Specifically, the input features of the prediction model include: current time (hour, day of the week), indoor CO2 concentration, number of people indoors, outdoor temperature, outdoor humidity, and equipment heat generation. The output is the predicted air supply volume for the next time period (15-30 minutes later). The controller automatically updates the prediction model parameters at 2:00 AM every day, enabling the model to adapt to seasonal changes and changes in building thermal characteristics.

[0115] The predictive model has shown significant effectiveness: actual measurements show that by using the predictive model for advance adjustment, the system response time was shortened by approximately 60%, and the temperature overshoot was reduced by approximately 40%. This is mainly because predictive control can anticipate air volume demand in advance, avoiding the lag effect caused by passive adjustment.

[0116] Example 9: This example provides a detailed description of the engineering implementation of the condensation self-driving step, including the design method of the siphon pipeline and the principles for determining key parameters.

[0117] The core of siphon piping design is to utilize the negative pressure zone created upstream of the ultra-high efficiency filter during the operation of the purification fan to achieve automatic condensate extraction. The design of a siphon piping system needs to consider the following key parameters:

[0118] First, the diameter of the siphon pipe needs to be determined based on the expected condensate flow rate. For typical cleanroom air conditioning applications, the condensate flow rate is usually in the range of 5–20 L / h. The inner diameter of the siphon pipe is generally 15–25 mm, which ensures sufficient suction capacity while avoiding excessively large pipes that could cause condensate retention.

[0119] Secondly, the height difference of the siphon pipe (i.e., the height difference between the liquid level in the condensate collection pan and the outlet of the drain pipe) needs to satisfy the following formula:

[0120] H>H f +H s +H v

[0121] Where H is the height difference, H f For friction loss along the friction path, H s For local resistance loss, H v For safety margin (usually 50-100mm). Friction loss H f It can be calculated using Darcy's formula:

[0122] Hf=λ×(L / D)×(v² / 2g)

[0123] Where λ is the friction coefficient, L is the pipe length, D is the pipe inner diameter, v is the flow velocity, and g is the gravitational acceleration.

[0124] Third, the layout of the siphon pipeline should avoid high points (i.e., U-bends), otherwise air will accumulate at the high points, disrupting the siphon conditions. The pipeline should maintain a downward slope with an inclination of not less than 1:50.

[0125] Fourth, the inlet end of the siphon pipe should be located inside the water seal device, with a water seal depth of 30–50 mm. The function of the water seal is to prevent air from entering the pipe and maintain siphon conditions; it also prevents odors from the drainage pipe from flowing back into the clean room.

[0126] In practical engineering, the design of siphon pipelines also needs to consider the following factors:

[0127] Installation location limitations: Siphon pipes are typically located on the side or bottom of the indoor unit of the air conditioner, where space is limited. The design should aim to make the pipes as short and straight as possible, minimizing the number of bends to reduce resistance loss.

[0128] Convenience of maintenance and repair: Inspection ports should be installed in the siphon pipeline to facilitate regular checks for blockages or leaks. The spacing between inspection ports should not exceed 3 meters.

[0129] Winter antifreeze measures: In cold regions, siphon pipes may become clogged due to condensate freezing. Insulation measures should be incorporated into the design, or a drain valve should be installed at the lowest point of the pipes to drain the condensate when the system is shut down.

[0130] The self-driving condensation process of this invention has been verified in actual engineering projects and has shown good results. In a practical application in a semiconductor manufacturing workshop, the siphon pipeline successfully achieved fully automatic drainage of condensate without the need for a drain pump. Compared with traditional solutions, it saves approximately 800 kWh of power consumption per year compared to drain pumps, while also avoiding condensate overflow problems caused by drain pump failures.

[0131] Actual measurements showed that after adopting the differential pressure fluctuation suppression strategy, the standard deviation of the positive pressure in the cleanroom decreased from ±0.8 Pa in the traditional system to ±0.3 Pa, and the positive pressure stability was improved by approximately 60%. This highly stable positive pressure control effectively ensures the cleanliness of the cleanroom.

[0132] refer to Figure 6 The temperature control response curve shown can be compared to the dual-mode adjustment effect of pressure control: when the pressure deviation suddenly increases (such as when a door is opened), the fast adjustment mode acts quickly to make the pressure return to normal; when the pressure returns to stability, it switches back to normal mode to avoid over-adjustment.

[0133] Third, mode switching conditions. When the deviation falls back from the over-limit state to the stable range, the controller delays for 5 to 10 seconds before switching back to normal mode. The purpose of the delay is to avoid frequent mode switching caused by noise.

[0134] Second, the rapid adjustment mode. When the pressure deviation exceeds the stable range, the controller switches to rapid adjustment mode. In this mode, the proportional gain of the PID controller increases by 2 to 3 times, and the valve adjustment speed increases to 2 to 3 times the default speed. This mode can quickly eliminate the deviation and restore positive pressure.

[0135] First, the normal adjustment mode. When the pressure deviation is within the stable range (usually set to ±1 Pa), the controller uses a conventional PID control algorithm, and the valve adjustment speed is the default speed. This mode ensures control accuracy and avoids over-adjustment.

[0136] The specific implementation of the dual-mode switching strategy is as follows:

[0137] For cleanroom differential pressure signals, the filter window length N is typically 5 to 15 sampling periods (the sampling period is usually 1 second). In this embodiment, N is set to 10, meaning that the arithmetic mean of the differential pressure data over the past 10 seconds is used as the current differential pressure value. This setting can effectively filter out instantaneous pressure fluctuations caused by personnel movement, door opening and closing, etc., while ensuring the ability to track slow pressure changes.

[0138] Where Y(k) is the filtered output value at time k, X(ki) is the sampled value at time ki, and N is the filter window length. The choice of window length N needs to strike a balance between filtering effect and response speed: the larger N is, the better the filtering effect, but the greater the response delay; the smaller N is, the faster the response, but the worse the filtering effect. The expression for Y(k) is:

[0139] .

[0140] Moving average filtering is a simple and effective signal processing method widely used for sensor signal denoising. Its basic principle is to take the arithmetic mean of N samples before and after the current sampling point as the filtered output value.

[0141] In actual operation, cleanrooms face two typical operating conditions: steady-state conditions and disturbed conditions. Under steady-state conditions, pressure differential fluctuations are mainly caused by measurement noise, requiring strong filtering. Under disturbed conditions (such as door opening and closing, personnel entry and exit), the pressure differential undergoes substantial changes, requiring a rapid response.

[0142] This invention employs a dual-mode switching strategy, automatically switching filter parameters based on the rate of change of differential pressure.

[0143] When the rate of change of pressure difference |d(ΔP) / dt| < threshold 1, it is determined to be a steady-state condition, and a larger filtering window (N=20) is used.

[0144] When threshold 1 ≤ |d(ΔP) / dt| < threshold 2, it is judged as a slight disturbance and a medium filtering window (N=10) is used.

[0145] When |d(ΔP) / dt|≥threshold 2, it is judged as a severe disturbance, and the system switches to pass-through mode (N=1) without filtering.

[0146] Through this adaptive filtering strategy, the present invention can effectively suppress noise under steady-state conditions and respond quickly under disturbed conditions, achieving an optimized balance between filtering effect and response speed.

[0147] Although the present invention has been specifically described above with reference to preferred embodiments, it should be understood that the present invention is not limited to the embodiments described above. Various modifications and variations can be made by those skilled in the art without departing from the spirit of the present invention, and such modifications and variations should fall within the scope defined by the appended claims and their equivalents.

Claims

1. An integrated ultra-clean filtration air conditioning method, characterized in that, Includes the following steps: Step 1: Variable air volume delivery step. The target air volume is dynamically determined according to the current operating status of the cleanroom. The speed of the purification fan is adjusted according to the target air volume so that the actual air volume tracks the target air volume. Step 2: Temperature difference compensation step. Obtain the deviation value between the measured temperature and the set temperature of the indoor temperature and humidity sensor. Combined with the heat generated corresponding to the current speed of the purification fan, calculate the temperature compensation value. Add the temperature compensation value to the target outlet air temperature of the surface cooler to compensate for the additional temperature rise generated by the operation of the purification fan. Step 3: Pressure equalization step. The actual indoor pressure value is obtained through the cleanroom differential pressure sensor. The deviation between the actual pressure value and the set positive pressure target is calculated. The opening of the electric regulating valve on the air supply duct is adjusted according to the pressure deviation to achieve precise maintenance of the indoor positive pressure. Step 4: Cleanliness priority step. When the filter differential pressure signal exceeds the preset cleanliness threshold, reduce the cooling power of the surface cooler to reduce the amount of condensate generated, and at the same time increase the speed of the purification fan to increase the air supply penetration and prevent wet blockage. Step 5: Condensation self-driving step. Utilizing the negative pressure zone formed by the airflow upstream of the ultra-high efficiency filter, the condensate generated by the surface cooler is actively drawn to the drain pipe through the siphon effect, achieving self-driving discharge of condensate without the need for external power.

2. The integrated ultra-clean filtration air conditioning method according to claim 1, characterized in that, Step one also includes an adaptive learning step for air supply volume: recording the air supply volume demand data of the cleanroom under different operating conditions, constructing an air supply volume prediction model based on the data; predicting the target air supply volume for the next period according to the prediction model, and adjusting the speed of the purification fan in advance to reduce response delay.

3. The integrated ultra-clean filtration air conditioning method according to claim 1, characterized in that, Step two specifically includes: real-time acquisition of the motor temperature and speed signals of the purification fan, calculation of the influence factor of the motor heat generation on the air supply temperature; dynamic correction of the PID controller setpoint based on the influence factor to achieve active compensation of the air outlet temperature of the surface cooler.

4. The integrated ultra-clean filtration air conditioning method according to claim 1, characterized in that, Step three also includes a differential pressure fluctuation suppression step: the cleanroom differential pressure sensor signal is subjected to moving average filtering to eliminate valve position jitter caused by instantaneous interference; when the pressure deviation is detected to exceed the stable range, a fast adjustment mode is activated to increase the valve position adjustment amplitude; when the deviation falls back to the stable range, the normal adjustment mode is restored.

5. The integrated ultra-clean filtration air conditioning method according to any one of claims 1 to 4, characterized in that, It also includes a collaborative control step: when multiple air conditioning units are arranged in the cleanroom, obtain particulate matter concentration distribution data of the service area of ​​each unit; based on the particulate matter concentration distribution data, identify high-concentration areas and low-concentration areas, prioritize increasing the air conditioning unit purification fan speed in high-concentration areas, and at the same time reduce the purification fan speed in low-concentration areas to save energy; according to the pressure coupling characteristics of each area, calculate the optimal distribution scheme of the air supply volume of each unit to maintain the pressure balance of the whole room.

6. The integrated ultra-clean filtration air conditioning method according to claim 5, characterized in that, The collaborative control steps also include a fault redundancy step: real-time monitoring of the operating status of each unit; when a fault is detected in the target unit, obtaining the current operating parameters of at least one neighboring unit adjacent to the target unit; calculating the compensation air volume based on the remaining adjustment margin of the neighboring unit; and adding the compensation air volume to the target air volume of the neighboring unit.

7. The integrated ultra-clean filtration air conditioning method according to claim 1, characterized in that, It also includes energy consumption optimization steps: obtaining the current cooling or heating load demand, and determining whether the ratio of the load demand to the system's rated capacity is lower than the preset economic load point; when the ratio is lower than the economic load point, reducing the speed of the purification fan to the minimum threshold for maintaining positive pressure indoors, and at the same time appropriately reducing the proportion of fresh air introduction to reduce the cooling and heating load.

8. An integrated ultra-clean filtration air conditioning system, used to implement the integrated ultra-clean filtration air conditioning method as described in any one of claims 1 to 7, characterized in that, include: The variable air volume (VAV) adjustment module is used to dynamically determine the target air supply volume and adjust the speed of the purification fan according to the cleanroom's operating status. The temperature difference compensation module is used to calculate the impact of the heat generated by the purification fan on the air supply temperature and output the temperature compensation value. The pressure equalization module is used to acquire the pressure difference signal of the cleanroom and adjust the electric regulating valve of the air supply duct to maintain positive pressure; the cleanliness priority module is used to coordinate the reduction of cooling capacity and the increase of fan speed when the filter pressure difference is abnormal; the condensation self-drive module is used to realize the siphon self-drive discharge of condensate by utilizing the negative pressure zone of the air supply; the collaborative control module is used for the optimized distribution of air supply volume among multiple units based on the particulate matter concentration distribution; and the energy consumption optimization module is used to automatically reduce operating energy consumption under low load conditions.

9. An integrated ultra-clean filtration air conditioning device, characterized in that, The system includes an indoor air conditioning unit, a purification fan, and a controller. The indoor air conditioning unit integrates an air conditioning fan, with a return air vent and an outlet air vent on its side. The indoor air conditioning unit also includes a surface cooler and an electric heater, with the surface cooler located upstream of the electric heater. A fresh air regulating valve is located on the air inlet side of the indoor air conditioning unit. The purification fan is positioned above or to one side of the indoor air conditioning unit, with its air inlet directly connected to the air outlet or connected via a flexible connecting section no longer than 0.5m, and its outlet connected to an ultra-high efficiency filter. A drain pump is located at the bottom of the indoor air conditioning unit or below the surface cooler. A return air plate is located on the ceiling or wall corresponding to the return air vent. The controller is electrically connected to the air conditioning fan, the purification fan, the surface cooler, the electric heater, the fresh air regulating valve, and the drain pump, respectively, for executing the integrated ultra-clean filtration air conditioning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the integrated ultra-clean filtration air conditioning method as described in any one of claims 1 to 7.

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