Air conditioning system
By introducing a processing module into the air conditioning system and utilizing multi-dimensional data fusion and an energy efficiency degradation model, the problem of the accuracy of filter clogging detection was solved, enabling accurate judgment of the filter clogging status and improving the energy efficiency and stability of the air conditioning system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO HISENSE BOSCH AIR CONDITIONING SYSTEM CO LTD
- Filing Date
- 2026-01-12
- Publication Date
- 2026-04-28
AI Technical Summary
The detection of filter blockage in existing air conditioning systems is difficult to be accurate, leading to a decline in air conditioning performance. Furthermore, the blockage of the filter and the indoor heat exchanger affects each other, and the error is large when detecting the condition of the filter alone, making it difficult to determine the ideal time for cleaning and maintenance.
By setting up a processing module in the air conditioning system, and using indoor fan motor power deviation, cumulative running time, and multi-dimensional data fusion, combined with superheat correction coefficient and energy efficiency decay model, the system can accurately detect filter blockage, decouple the influence of filter and indoor heat exchanger, and improve the accuracy of judgment by using a closed-loop self-calibration mechanism.
It enables precise detection of filter clogging, reduces interference from environmental changes, improves the accuracy of energy efficiency assessment of air conditioning systems and the precision of filter clogging status assessment, and ensures efficient and stable operation of air conditioning systems.
Smart Images

Figure CN121932718A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of air conditioning technology, and more particularly to an air conditioning system. Background Technology
[0002] In air conditioning systems, filters are typically installed at the air inlet (including fan coil units) where air enters the indoor unit, also known as the return air vent. Filters are used to remove dust, bacteria, pollen, hair, and other impurities from the air, preventing them from entering the indoor unit and protecting components such as the indoor heat exchanger and indoor fan, while simultaneously improving indoor air quality.
[0003] Over time, dust and oil from the air adhere to the filter, forming grime and causing it to become clogged. In humid environments, mold and bacteria can easily grow, further exacerbating the clogging. Clogged filters hinder airflow, reducing heat exchange efficiency and increasing energy consumption. Furthermore, dirt and bacteria can enter the room with the airflow, affecting indoor air quality and even causing respiratory illnesses.
[0004] To detect clogging, existing technologies acquire information about indoor fan stall conditions and determine filter clogging based on actual and reference operating power changes. When the indoor fan's operating power suddenly changes or drops, clogging is identified. However, in reality, when the filter is clogged, airflow decreases, preventing the indoor heat exchanger from fully exchanging heat with the air and reducing heat exchange efficiency. Simultaneously, fine particles not caught by the filter adhere directly to the indoor heat exchanger, causing clogging. Conversely, dirt on the heat exchanger surface hinders airflow, making it easier for airborne impurities to accumulate on the filter, creating a vicious cycle. The interaction between filter and heat exchanger clogging leads to a decline in overall performance. Simply detecting sudden power changes in the indoor fan makes it difficult to accurately determine the actual state of the filter and identify the ideal time for cleaning and maintenance.
[0005] The information disclosed in this background section is only intended to enhance the understanding of the background technology of this application, and therefore may include prior art that is not known to those skilled in the art. Summary of the Invention
[0006] This application designs and provides an air conditioning system, including an indoor unit. The indoor unit has a return air vent on its casing, a filter installed at the return air outlet, and an indoor fan housed within the casing. The air conditioning system also includes a processing module configured to perform the following steps when the air conditioning system meets preset stable operating conditions: classifying the current filter clogging level based on the indoor fan motor power deviation and cumulative operating time; generating a superheat correction coefficient and an airflow correction coefficient based on the current filter clogging level; correcting the current superheat deviation based on the superheat correction coefficient; inputting the airflow correction coefficient into a preset energy efficiency degradation model to calculate the power consumption degradation; fusing the corrected current superheat deviation and the power consumption degradation to obtain the corresponding indoor heat exchanger clogging index; and correcting the indoor fan motor power deviation based on the indoor heat exchanger clogging index to recalibrate the current filter clogging level.
[0007] The above technical solution has the following advantages or beneficial effects: In the air conditioning system provided in this application, the processing device is configured to execute a closed-loop self-calibration detection process. Through parameter correction and multi-dimensional data fusion, accurate detection of filter blockage is achieved, avoiding interference from the internal environmental conditions of the indoor unit, such as false alarms caused by blockage of the indoor heat exchanger. The indoor fan characteristic curve determines that when the duct resistance increases, the power consumption of the indoor motor will change predictably. Combined with the cumulative running time, instantaneous power anomalies caused by changes in the external environment (such as power grid fluctuations) can be effectively filtered out. Since filter blockage will lead to a decrease in airflow, which in turn affects the heat exchange efficiency of the indoor heat exchanger, an overheat correction coefficient is specially designed in this application to effectively offset this effect. When the efficiency of the indoor heat exchanger decreases, the compressor needs to operate at a higher frequency to maintain the set temperature, resulting in additional power consumption. The energy efficiency degradation model normalizes the additional power consumption to the unit cooling capacity, eliminating the interference caused by ambient temperature fluctuations and accurately reflecting the additional energy loss of the air conditioning system due to blockage. The final indoor heat exchanger clogging index is generated by combining the corrected current superheat deviation and power consumption degradation, and in turn, the indoor fan motor power deviation is corrected, and the current filter clogging level is recalibrated. By fusing multiple indicators to decouple filter and indoor heat exchanger clogging, the accuracy of filter clogging judgment is improved by using the corrected feedback mechanism.
[0008] In some embodiments of this application, when the airflow correction coefficient is input into a preset energy efficiency attenuation model to calculate the power consumption attenuation, the processing module is configured to perform the following steps: call the pre-configured wind speed reference correction constant and wind speed nonlinear correction constant, sample the current speed of the indoor fan, and calculate the current indoor fan supply airflow based on the wind speed reference correction constant, wind speed nonlinear correction constant, the current speed of the indoor fan, and the airflow correction coefficient; calculate the real-time cooling capacity based on the current indoor fan supply airflow, return air temperature, and supply air temperature; calculate the compressor theoretical power corresponding to the current operating condition based on the compressor operating frequency and the difference between condensing temperature and evaporating temperature; obtain the real-time compressor input power; calculate the difference between the real-time compressor input power and the compressor theoretical power; and use the ratio of the difference between the real-time compressor input power and the compressor theoretical power to the real-time cooling capacity as the power consumption attenuation.
[0009] The above technical solution has the following advantages or beneficial effects: The energy efficiency degradation model measures the degree of energy efficiency degradation by comparing the real-time compressor input power with the compressor's theoretical power and combining it with the real-time cooling capacity; in the calculation of the compressor's theoretical power, it is decoupled into mechanical power related to the compressor's operating frequency and power related to thermodynamics (considering condensing temperature and evaporating temperature), and further, the compressor's theoretical power is eliminated in the calculation of power consumption degradation, reducing the interference components of normal energy efficiency degradation caused by the normal influence of ambient temperature and operating frequency on power consumption in the dirt blockage detection, thereby accurately determining the additional power consumption degradation caused by heat exchanger dirt blockage; the air volume correction coefficient forms a segmented correction to ensure that the calculation of real-time cooling capacity is not based on ideal operating conditions, but on the air volume after the filter is actually damaged, making the calculation results more accurate.
[0010] In some embodiments of this application, the processing device is further configured to assign a standard power value to the motor and determine a standard value for the indoor fan motor power. This is configured to perform the following steps: setting an initial time window; within the initial time window, if the indoor fan operates in a fan-supply mode at a set fan speed, sampling the real-time motor power of the indoor fan; within the initial time window, if the indoor fan operates in a cooling mode at a speed other than a set fan speed, driving the indoor fan to run at the set fan speed until the end of the set time period, sampling the real-time motor power of the indoor fan; determining whether the number of times the indoor fan runs at the set fan speed within the initial time window meets a preset condition; if so, obtaining the maximum and minimum real-time motor power of the indoor fan within the initial time window, and using the difference between the two as the instantaneous power difference; comparing the instantaneous power difference with a set power difference threshold; if the instantaneous power difference is lower than the set power difference threshold, using the minimum real-time motor power as the standard motor power, and determining that the motor standard power assignment is successful; if the instantaneous power difference is higher than the set power difference threshold, using the maximum real-time motor power as the standard motor power, and determining that the motor standard power assignment is successful.
[0011] The above technical solution has the following advantages or beneficial effects: This application collects real-time motor power samples of indoor fans within an initial time window under controllable and repeatable conditions, and forms a near steady-state working state by using a set wind speed level and a set time period, reducing the impact of transient fluctuations. The short initial time window supports robust judgment of instantaneous power difference and set power difference threshold, suppressing occasional anomalies and installation environment interference.
[0012] In some embodiments of this application, the processing device is further configured to assign a standard power value to the motor, determine a standard power value for the indoor fan motor, and is further configured to perform the following steps: if the number of times the indoor fan operates at the set fan speed level within the initial time window does not meet a preset condition, a supplementary time window is set; within the supplementary time window, a human detection sensor is configured to detect whether there are people in the room; when there are people in the room, if the indoor fan operates in the air supply mode at the set fan speed level, the real-time motor power of the indoor fan is sampled, and the sampled real-time motor power of the indoor fan is used as the standard power of the motor, and determined to be... The standard power of the motor was successfully assigned. When someone is in the room, if the indoor fan is running in cooling mode at a speed other than the set speed, the indoor fan will be driven to run at the set speed until the end of the set time period. The real-time motor power of the indoor fan will be sampled and used as the standard power of the motor. This indicates that the standard power of the motor was successfully assigned. When no one is in the room, the indoor fan will be driven to run at the set speed until the end of the set time period. The real-time motor power of the indoor fan will be sampled and used as the standard power of the motor. This indicates that the standard power of the motor was successfully assigned.
[0013] The above technical solution has the following advantages or beneficial effects: In this application, if calibration fails to be successful within the initial time window due to special reasons, a supplementary time window is set to ensure the effective establishment of the reference value; when no one is in the room, the processing device can achieve silent calibration. At this time, it is forcibly switched to the air supply mode and runs at the highest wind speed, which can eliminate the interference caused by the operation of other components, obtain a standard physical reference, and will not cause noise disturbance to people in the room.
[0014] In some embodiments of this application, if the motor standard power assignment is not successfully determined after the supplementary time window ends, the motor standard power is set to zero, and the motor standard power assignment is determined to have failed.
[0015] The above technical solution has the following advantages or beneficial effects: when it is not determined that the standard power of the motor has been successfully assigned, a flag bit is set to provide an effective indication for subsequent control.
[0016] In some embodiments of this application, the processing device is configured to acquire the measured power of the motor after the supplementary time window ends; when acquiring the measured power of the motor, the processing device is configured to perform the following steps: determine whether the indoor fan is executing the air supply mode at the set fan speed or the cooling mode at a non-set fan speed; if the indoor fan is executing the air supply mode at the set fan speed, sample the real-time motor power of the indoor fan, store the current indoor fan motor power as the measured power of the motor, and overwrite the previously stored measured power of the motor; if the indoor fan is executing the cooling mode at a non-set fan speed, drive the indoor fan to run at the set fan speed until the end of the set time period, sample the real-time motor power of the indoor fan, store the current indoor fan motor power as the measured power of the motor, and overwrite the previously stored measured power of the motor.
[0017] The above technical solution has the following advantages or beneficial effects: This application constructs an adaptive sampling system based on usage scenario triggering, which utilizes different time windows and spatial states to achieve benchmark maintenance and state monitoring.
[0018] In some embodiments of this application, when acquiring the measured power of the motor, the processing device is further configured to perform the following steps: accumulating the time interval between the measured power of the motor and the previously stored measured power, and determining whether the time interval exceeds a set intervention period; when the time interval exceeds the set intervention period, configuring a human detection sensor to detect whether there is anyone in the room; if there is no one in the room, driving the indoor fan to run at a set wind speed until the end of the set time period, sampling the real-time motor power of the indoor fan, storing the indoor fan motor power at this time as the measured power of the motor, and overwriting the previously stored measured power of the motor.
[0019] The above technical solution has the following advantages or beneficial effects: the processing device is configured to perform operations that may generate noise during unattended periods, giving priority to user comfort.
[0020] In some embodiments of this application, the processing device is configured to perform the following steps when classifying the current filter clogging level based on the indoor fan motor power deviation and cumulative running time: if the motor standard power assignment is successful, a preset dual-parameter fusion model is invoked to classify the current filter clogging level based on the indoor fan motor power deviation and cumulative running time; if the motor standard power assignment fails, a preset empirical model is invoked to classify the current filter clogging level based on the cumulative running time.
[0021] The above technical solution has the following advantages or beneficial effects: the dual-parameter fusion model is built based on physical characteristics and time weights, and the accuracy of the current filter clogging level classification is improved through cross-validation of the two; the empirical model is established based on the failure probability of big data. When the standard power of the motor fails to be obtained, there is no longer a benchmark that can be accurately compared. At this time, the empirical model is used as the basis to ensure that the control strategy is still feasible.
[0022] In some embodiments of this application, the processing device is configured to perform the following steps after filter replacement and reset: obtaining the updated motor standard power; if the motor standard power is successfully assigned within the initial time window or supplementary time window, comparing the updated motor standard power with the previously assigned motor standard power; if the updated motor standard power is greater than the previously assigned motor standard power, keeping the previously assigned motor standard power unchanged; if the updated motor standard power is less than the previously assigned motor standard power, using the updated motor standard power as the motor standard power; if the motor standard power assignment is unsuccessful within the initial time window or supplementary time window, using the updated motor standard power as the motor standard power.
[0023] The above technical solution has the following advantages or beneficial effects: If the updated motor standard power is higher than the previously assigned motor standard power, it indicates that the filter may not have been thoroughly cleaned and the resistance has not been fully restored. Setting the previously assigned motor standard power (i.e., the minimum between the two) as the new benchmark ensures the accuracy of the subsequent control benchmark, and the air conditioning system can always use the lowest power as the anchor point to ensure detection sensitivity. If the new motor standard power is lower, it indicates that the previous calibration was inaccurate, or that the newly replaced filter has better performance. In this case, the updated motor standard power should be used as the motor standard power.
[0024] In some embodiments of this application, the processing device is configured to perform the following steps when obtaining the corresponding indoor heat exchanger fouling index based on the current superheat deviation after fusion correction and the calculated power consumption attenuation: setting a pair of corresponding time-varying weights, wherein the time-varying weights are dynamically adjusted as the cumulative operating time of the air conditioning system accounts for the proportion of the design life of the air conditioning system, and the longer the cumulative operating time of the air conditioning system, the greater the weight corresponding to the current superheat deviation after correction.
[0025] The above technical solution has the following advantages or beneficial effects: it ensures that the indoor heat exchanger dirt and blockage index can be maintained at an ideal confidence level throughout the entire life cycle of the air conditioning system, and fully considers false alarms caused by equipment aging.
[0026] Other features and advantages of the present invention will become clearer after reading the detailed embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description
[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0028] Figure 1 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0029] Figure 2 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0030] Figure 3 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0031] Figure 4 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0032] Figure 5 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0033] Figure 6 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0034] Figure 7 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0035] Figure 8 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0036] Figure 9 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0037] Figure 10 A flowchart of a processing device in an air conditioning system provided in some embodiments of the present invention;
[0038] Figure 11 This is an example of the two-parameter fusion model in this invention;
[0039] Figure 12 This is an example of an empirical model in this invention. Detailed Implementation
[0040] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0041] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0042] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0043] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0044] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.
[0045] The following disclosure provides many different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. In addition, examples of various specific processes and materials are provided in this invention, but those skilled in the art will recognize the application of other processes and / or the use of other materials.
[0046] This application designs and provides an air conditioning system.
[0047] From a thermodynamic perspective, the air conditioning system provided in this application uses refrigerant as the working medium and includes an evaporator, a compressor, a condenser, and a throttling device connected in sequence. The refrigeration cycle of the air conditioning system includes a series of processes involving compression, condensation, expansion, and evaporation.
[0048] From a thermodynamic perspective, a low-temperature, low-pressure refrigerant enters the compressor, which compresses it into a high-temperature, high-pressure refrigerant gas and discharges the compressed gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and heat is released to the surrounding environment through the condensation process.
[0049] The throttling device causes the high-temperature, high-pressure liquid refrigerant condensed in the condenser to expand into a low-pressure liquid refrigerant. The evaporator evaporates the refrigerant that has expanded in the throttling device, returning the low-temperature, low-pressure refrigerant gas to the compressor. The evaporator achieves its cooling effect by utilizing the latent heat of refrigerant evaporation to exchange heat with the material being cooled.
[0050] In an air conditioning system, the compressor is the core component. The compressor is used to compress the refrigerant, changing it from a low-pressure state to a high-pressure state, so that the refrigerant can effectively transfer heat in the refrigeration cycle.
[0051] The outdoor unit of an air conditioning system refers to the part including the compressor. In addition to the compressor, the outdoor unit also contains an outdoor heat exchanger. In some embodiments of this application, the outdoor heat exchanger is a finned tube heat exchanger, a plate-fin heat exchanger, or other similar heat exchangers.
[0052] In some embodiments of this application, an outdoor fan is installed near the outdoor heat exchanger. The outdoor fan is used to achieve forced convection heat transfer and improve the heat exchange efficiency of the outdoor heat exchanger. The outdoor fan can be an axial flow fan, a cross flow fan, or other optional fan type. The outdoor fan is driven by a variable frequency motor, and the air volume is adjusted according to the load.
[0053] The outdoor unit is also equipped with a switching valve, which is used to switch the refrigerant flow direction to switch between cooling and heating modes.
[0054] The outdoor heat exchanger is configured to function as a condenser during cooling operation and as an evaporator during heating operation. The outdoor heat exchanger exchanges heat with the air guided by the outdoor fan, causing the refrigerant flowing within the outdoor heat exchanger to condense or evaporate, resulting in a phase change and heat transfer.
[0055] An air conditioning system also includes one or more indoor units. Each indoor unit contains an indoor heat exchanger. When the indoor heat exchanger functions as a condenser, the air conditioning system acts as a heater for heating; when it functions as an evaporator, the system acts as a cooler for cooling. An indoor fan is located near the indoor heat exchanger to achieve forced convection heat transfer and improve the heat exchange efficiency of the indoor heat exchanger. The indoor fan can be an axial flow fan, a cross-flow fan, or other optional fan type. The indoor fan is driven by a variable frequency motor, adjusting the airflow according to the load.
[0056] The throttling device includes an electronic expansion valve installed in the indoor unit and / or outdoor unit.
[0057] The indoor unit includes a casing with return air vents. The location and number of return air vents are designed according to the casing's air duct layout and airflow requirements to ensure uniform indoor air distribution. A filter is installed at the return air vent. For example, the return air vent is equipped with a sliding rail, allowing the filter to be inserted or removed for easy installation and removal. Alternatively, the filter can also be installed at the return air vent using clips, screws, magnetic attachment, etc. No further limitations are placed on the filter installation method here. The filter material used can be synthetic fiber, activated carbon, HEPA material, metal mesh, etc.
[0058] During operation, indoor air is drawn in through the return air vent by the indoor fan. After being filtered, the air flows through the indoor heat exchanger for heat exchange, and finally, the treated air is returned to the room through the supply air vent. When the filter is clean, airflow resistance is low, and the indoor fan can maintain the set airflow with lower power; the actual power is close to the rated power obtained from testing for the corresponding operating condition. When the filter is clogged, the dust and impurities on the filter increase airflow resistance, and the indoor fan requires higher power to maintain the same airflow; the actual power will be significantly higher than the rated power obtained from testing for the corresponding operating condition. Therefore, by comparing the actual power of the indoor fan with its rated power, it is possible to determine whether the filter is clogged.
[0059] However, in reality, when dust, oil, or mold accumulates on the surface of the indoor heat exchanger, it also increases the resistance of airflow through the indoor heat exchanger. This increase in resistance, along with the increase in resistance caused by filter blockage, has a cumulative effect on the indoor fan power. Therefore, the deviation in indoor fan power is actually caused not only by filter dirt but also by the contribution of indoor heat exchanger dirt, thus interfering with the accuracy of filter dirt assessment.
[0060] The air conditioning system also includes a processing module.
[0061] The processing module monitors and regulates the operating status of the air conditioning system to ensure its efficient, stable, and safe operation. The processing module includes components such as a processor, volatile memory, non-volatile memory, a display device, an operating device, a communication interface, and a drive device, all interconnected via a bus. The processor can be a dedicated processor, a central processing unit (CPU), etc. The processor can access instructions or application programs stored in volatile and non-volatile memory to implement related functions, such as sending control commands to actuators (e.g., compressors) via relays, MOSFETs, PWM outputs, etc. The display device displays various information, the operating device receives various operations, and the drive device is the hardware terminal that interacts with the storage medium. The storage medium includes media that record information optically, electrically, or magnetically, such as CD-ROMs, floppy disks, and optical discs. The storage medium can also be semiconductor memory that records information electrically, such as ROM or flash memory.
[0062] The processing module can be implemented by the air conditioning system's own controller, such as an onboard system built on a microprocessor.
[0063] The processing module can also be implemented by a host computer or a cloud server.
[0064] The processing module can also be implemented by a smart mobile terminal.
[0065] The processing module can also be implemented by combining multiple components such as the air conditioning system's own controller, host computer, cloud server, and smart mobile terminal.
[0066] The processing module communicates with the sensor module. The processing module and the sensor module in the air conditioning system can communicate via LAN (Local Area Network), signal lines (such as Ethernet cable, coaxial cable, fiber optic cable, power line, serial cable, etc.), wireless signals, LTE, 5G, and other networks.
[0067] In some embodiments of this application, the processing module is configured to: execute the following when the air conditioning system meets preset stable operating conditions: Figure 1 The steps are shown.
[0068] Step S1: Classify the current filter clogging level based on the indoor fan motor power deviation and cumulative running time.
[0069] Step S2: Generate superheat correction coefficient and airflow correction coefficient based on the determined current filter clogging level.
[0070] Step S3: Correct the current superheat deviation based on the superheat correction coefficient.
[0071] Step S4: Input the air volume correction coefficient into the preset energy efficiency attenuation model to calculate the power consumption attenuation.
[0072] Step S5: Combine the corrected current superheat deviation with the calculated power consumption attenuation to obtain the corresponding indoor heat exchanger clogging index.
[0073] Step S6: Correct the indoor fan motor power deviation based on the indoor heat exchanger clogging index and recalibrate the current filter clogging level.
[0074] In the air conditioning system provided in this application, the processing device is configured to execute a closed-loop self-calibration detection process. Through parameter correction and multi-dimensional data fusion, it achieves accurate detection of filter blockage, avoiding false alarms caused by interference from the indoor unit's internal environmental conditions, such as blockage of the indoor heat exchanger. The indoor fan characteristic curve determines that the power consumption of the indoor motor will change predictably when the duct resistance increases. Combined with the cumulative operating time, it can effectively filter out instantaneous power anomalies caused by changes in the external environment (such as power grid fluctuations). Since filter blockage will lead to a decrease in airflow, which in turn affects the heat exchange efficiency of the indoor heat exchanger, an overheat correction coefficient is specially designed in this application to effectively offset this effect. When the efficiency of the indoor heat exchanger decreases, the compressor needs to operate at a higher frequency to maintain the set temperature, resulting in additional power consumption. The energy efficiency degradation model normalizes the additional power consumption to the unit cooling capacity, eliminating the interference caused by ambient temperature fluctuations and accurately reflecting the additional energy loss of the air conditioning system due to blockage. The final indoor heat exchanger clogging index is generated by combining the corrected current superheat deviation and power consumption degradation, and in turn, the indoor fan motor power deviation is corrected, and the current filter clogging level is recalibrated. By fusing multiple indicators to decouple filter and indoor heat exchanger clogging, the accuracy of filter clogging judgment is improved by using the corrected feedback mechanism.
[0075] The processing unit is configured to perform baseline calibration during the initial operation of the air conditioning system, assign standard power values to the motors, and determine the standard power values for the indoor fan motors. .
[0076] When calibrating the reference value, the processing device is configured to perform, as follows: Figure 2 The steps are shown.
[0077] Step S101: Set the initial time window.
[0078] In this application, an initial contamination interference is eliminated by setting an initial time window. For example, the initial time window can be set to 5 days. During the first 5 days after the air conditioning system is installed and begins operation, the filter is generally clean. Data collected during this period is closest to the ideal state. Using the initial time window ensures that the standard motor power obtained is under clean filter conditions.
[0079] Step S102: Within the initial time window, if the indoor fan is in the air supply mode at the set fan speed, sample the real-time motor power of the indoor fan.
[0080] Step S103: Within the initial time window, if the indoor fan is in cooling mode at a non-set fan speed, drive the indoor fan to run at the set fan speed until the end of the set time period, and sample the real-time motor power of the indoor fan.
[0081] The real-time motor power of the indoor fan collected within the initial time window is recorded as follows: .
[0082] In air supply mode, there will be no condensation or frost on the surface of the indoor heat exchanger, and it will be in a dry and normal temperature state. At this time, the change in the power of the indoor fan motor can be simply understood as being determined by the filter resistance, thus minimizing the interference of thermodynamic factors such as refrigerant pressure and condensate resistance.
[0083] In some embodiments of this application, the wind speed setting is set to the highest wind speed setting of the corresponding model.
[0084] At low wind speeds, the indoor fan motor load is small, and the resistance change caused by filter clogging is not significant. The real-time motor power fluctuations of the indoor fan are easily masked by grid noise. At the highest wind speed setting, the relationship between air resistance and the real-time motor power of the indoor fan is most sensitive, thus improving the signal-to-noise ratio. A 5-minute timeframe is preferred to allow the airflow and motor speed to reach a steady state, ensuring accurate sampling of the indoor fan's real-time motor power.
[0085] The real-time motor power of the indoor fan sampled within the initial time window is stored in the form of a time series.
[0086] Step S104: Determine whether the number of times the indoor fan runs at the set fan speed within the initial time window meets the preset conditions.
[0087] In this application, the preset condition can be that the indoor fan runs at the set fan speed level more than or equal to once.
[0088] Step S105: When the number of times the indoor fan runs at the set wind speed meets the preset conditions, obtain the maximum value of the real-time motor power of the indoor fan within the initial time window, and the minimum value of the real-time motor power of the indoor fan within the initial time window. Use the difference between the maximum value and the minimum value of the real-time motor power as the instantaneous power difference.
[0089] Instantaneous power difference satisfy: .
[0090] Step S106: Compare instantaneous power differences and setting power difference threshold .
[0091] Step S107: If the instantaneous power difference Below the set power difference threshold If the minimum real-time motor power is used as the standard motor power, the motor standard power is considered to have been successfully assigned.
[0092] That is, when Then there is a standard value for the power of the indoor fan motor. satisfy:
[0093] .
[0094] If the instantaneous power difference is lower than the set power difference threshold, it indicates that the indoor fan is operating smoothly and the environmental resistance is constant. Taking the minimum real-time motor power in a stable state as the standard motor power can eliminate the influence of instantaneous high-voltage pulses and obtain the most conservative rated operating power as the standard motor power.
[0095] Step S108: If the instantaneous power difference Higher than the set power difference threshold If the maximum real-time motor power is used as the standard motor power, the standard motor power is successfully assigned.
[0096] That is, when Then there is a standard value for the power of the indoor fan motor. satisfy:
[0097] .
[0098] If the instantaneous power difference is not lower than the set power difference threshold, it indicates that there may be external interference in the installation environment. The maximum value of the real-time motor power is used as the standard power of the motor to calibrate a relatively high benchmark. In subsequent judgments, the installation environment is taken into consideration to prevent frequent false alarms caused by the installation environment (high initial resistance).
[0099] This application collects real-time motor power samples of indoor fans within an initial time window under controllable and repeatable conditions. By utilizing set fan speed levels and time periods, a near-steady-state operating condition is established, reducing the impact of transient fluctuations. The short initial time window supports robust judgment of instantaneous power differences and set power difference thresholds, suppressing occasional anomalies and installation environment interference. During the initial operation of the air conditioning system, the actual real-time motor power is captured as a comparison benchmark. After successful assignment, the time series is no longer stored.
[0100] When calibrating the reference value, the processing device is also configured to perform actions such as Figure 3 The steps are shown.
[0101] Step S201: If the number of times the indoor fan runs at the set fan speed does not meet the preset conditions within the initial time window, set an additional time window.
[0102] In this application, if calibration fails within the initial time window due to special reasons, a supplementary time window is set to ensure the effective establishment of the baseline value. For example, the supplementary time window can be set to 5-15 days.
[0103] Step S202: Within the supplementary time window, configure a human detection sensor to detect whether there are people in the room.
[0104] Step S203: When there are people indoors, if the indoor fan is in the air supply mode at the set fan speed, sample the real-time motor power of the indoor fan. The sampled real-time motor power of the indoor fan is used as the standard motor power. A successful assignment of the standard motor power is then considered valid. .
[0105] Step S204: When there are people indoors, if the indoor fan is in cooling mode at a speed other than the set speed, drive the indoor fan to run at the set speed until the end of the set time period, and sample the real-time motor power of the indoor fan. The sampled real-time motor power of the indoor fan is used as the standard motor power. A successful assignment of the standard motor power is then considered valid. .
[0106] When people are indoors, maintain normal control logic as much as possible, and quickly sample and assign standard power values to the motor within the user's acceptable range.
[0107] Step S205: When no one is in the room, drive the indoor fan at the set fan speed until the end of the set time period, and sample the real-time motor power of the indoor fan. Using the sampled real-time motor power of the indoor fan as the standard motor power, we have: The motor's standard power value has been successfully assigned.
[0108] When no one is in the room, the device can perform silent calibration. At this time, it is forced to switch to the air supply mode and run at the highest wind speed. This can eliminate interference caused by the operation of other components, obtain a standard physical reference, and will not cause noise disturbance to people in the room.
[0109] like Figure 4 As shown in steps S206 to S208, if the motor standard power assignment is not successfully determined after the supplementary time window ends, the motor standard power is set to zero, and the motor standard power assignment is determined to have failed. .
[0110] The processing device is configured to, for example, acquire the measured power of the motor after the supplementary time window has ended, i.e., after the standard power of the motor has been assigned, and after the cumulative operating time has exceeded 15 days. .
[0111] When obtaining the measured power of the motor, the processing device is configured to perform the following: Figure 5 The steps are shown.
[0112] Step S301: Determine whether the indoor fan is in air supply mode at the set fan speed or in cooling mode at a non-set fan speed.
[0113] Step S302: If the indoor fan is in air supply mode at the set fan speed, sample the real-time motor power of the indoor fan and store the current indoor fan motor power as the measured motor power. It also overwrites the previously stored measured motor power.
[0114] Step S303: If the indoor fan is in cooling mode at a speed other than the set speed, drive the indoor fan to run at the set speed until the end of the set time period, and sample the real-time motor power of the indoor fan. The current indoor fan motor power is stored as the actual measured power of the motor, and the previously stored actual measured power of the motor is overwritten.
[0115] In some embodiments of this application, when obtaining the measured power of the motor, the processing device is further configured to perform, as follows: Figure 6 The steps are shown.
[0116] Step S401: Accumulate the time interval between the previous stored motor measured power and determine whether the time interval exceeds the set intervention cycle.
[0117] Step S402: When the time interval exceeds the set intervention cycle, configure a human detection sensor to detect whether there is a person in the room.
[0118] Step S403: If no one is in the room, drive the indoor fan to run at the set fan speed until the end of the set time period, sample the real-time motor power of the indoor fan, and store the indoor fan motor power at this time as the measured motor power. It also overwrites the previously stored measured motor power.
[0119] The intervention period can be set to 30 days, and the processing device is configured to perform potentially noisy operations during unattended periods, prioritizing user comfort. Even if the motor's standard power is not successfully assigned (set to zero), the measured motor power collected during unattended indoor periods after the supplementary time window can form a data basis, and the degree of dirt and blockage can be determined by the subsequent trend. This application constructs an adaptive sampling system triggered by usage scenarios, utilizing different time windows and spatial states to achieve baseline maintenance and status monitoring.
[0120] If the air conditioning system is not equipped with a human detection sensor, the actual motor power will only be acquired if the standard motor power is successfully assigned. If the standard motor power cannot be successfully assigned, the air conditioning system will continue to operate normally, and the actual motor power will not be acquired temporarily.
[0121] In some embodiments of this application, the standard power of the motor is used. and the actual power of the motor The difference is taken as the power deviation of the indoor fan motor. .
[0122] When classifying the current filter clogging level based on indoor fan motor power deviation and cumulative running time, the processing device performs the following steps:
[0123] like Figure 7 Steps S501 to S502 are shown in the following steps: If the standard power of the motor is successfully assigned, the preset dual-parameter fusion model is called to classify the current filter blockage level based on the indoor fan motor power deviation and cumulative running time.
[0124] The dual-parameter fusion model is built based on physical features and time weights, and the cross-validation of the two improves the accuracy of the current filter clogging level classification.
[0125] An example of a two-parameter fusion model is as follows: Figure 11 The list is shown in the figure, where This is due to the power deviation of the indoor fan motor. This represents the cumulative runtime.
[0126] In the table above, the indoor fan motor power deviation (by (Unit: ) represents the actual resistance of the current duct, and the actual measured airflow attenuation (in the table above) is expressed as . , (etc.) closely related to the indoor fan motor power deviation This can explain the change in resistance on the filter surface due to dust accumulation, and the cumulative operating time. This indicates the likelihood of dust accumulation if the indoor fan motor power is off. Large but cumulative runtime It's very short, possibly just a momentary blockage of the air vent, but the cumulative runtime... After reaching a certain number of days, and the indoor fan motor power deviation If the resistance remains within a certain range, it indicates that the blockage is a real occurrence rather than an occasional malfunction. Different indoor fan designs and capacity designs result in varying sensitivities to resistance. The threshold values in the table above can be set based on actual experimental results. , , , , , and The specific values of these variables are not listed here.
[0127] like Figure 8 Steps S503 to S504 are shown in the following: If the standard power of the motor is not successfully assigned, the empirical model is called to classify the current filter clogging level based on the cumulative running time.
[0128] The empirical model is built based on the failure probability of big data. When the standard power of the motor fails to be obtained, there is no longer a benchmark that can be accurately compared. At this time, the empirical model is used as the basis to ensure that the control strategy is still feasible.
[0129] An example of an empirical model is as follows: Figure 12 The list is shown in the document.
[0130] In the empirical model, the average dirt-clogging cycle of the air conditioning system under different environments (with different ambient dust concentrations) is divided into... , , … Multiple time periods, based on the cumulative operating time of the air conditioning system ( (On a daily basis) Forcefully classify the current filter clogging level.
[0131] Different compensation strategies can be applied based on the current filter clogging level. Whether the motor's standard power was successfully assigned can be read from a flag representing the assignment status in a global variable.
[0132] In some embodiments of this application, the preset stable operating conditions are that the air conditioning system operates in cooling mode and at a set fan speed, the outdoor ambient temperature fluctuation value is lower than a set threshold (e.g., 1 degree Celsius), the indoor ambient temperature fluctuation value is lower than a set threshold (e.g., 1 degree Celsius), the compressor frequency is lower than a set threshold (e.g., 1 Hz), and the electronic expansion valve opening fluctuation value is lower than a set threshold (e.g., 1%).
[0133] The above can be set based on the results of actual experiments. , , … The specific values for are not listed here.
[0134] A superheat correction coefficient is generated based on the determined current filter clogging level. The higher the current filter clogging level, the larger the superheat correction coefficient. The current superheat deviation is corrected based on the superheat correction coefficient.
[0135] overheating It can be represented as:
[0136]
[0137] This is the outlet temperature of the indoor heat exchanger (used as an evaporator in cooling mode). This is the saturation temperature corresponding to the intake pressure. The superheat deviation is denoted as... In the previous formula, The target value for superheat. This is the superheat correction factor.
[0138] Corrected current superheat deviation It can be represented as:
[0139]
[0140] For example, when the current filter clogging level is 0, the superheat correction factor... The value is 1; when the current filter clogging level is 1 or 2, the superheat correction factor is 1. for When the current filter clogging level is 3 or 4, the superheat correction factor is... for ...; When the current filter clogging level is n, the superheat correction factor. for .
[0141] The superheat correction factor satisfies: .
[0142] , … The specific values were obtained through experimental calibration, and no further limits are set here.
[0143] Filter clogging reduces airflow, indirectly lowering evaporation temperature and affecting superheat assessment. A superheat correction coefficient dynamically adjusts the superheat deviation. The adjusted current superheat deviation serves as an intermediate characteristic, converted into the degree of heat exchange capacity distortion under standard operating conditions, and used to ultimately calculate the indoor heat exchanger clogging index. Higher filter clogging levels correspond to lower airflow. At extremely low airflow, even a 1-degree Celsius deviation in superheat can result in a deviation far exceeding the corresponding value under normal airflow. Based on the superheat correction coefficient, the original temperature signal is weighted and amplified; higher levels result in greater weight, making the indoor heat exchanger clogging index more sensitive to small parameter fluctuations in cases of deep clogging. When the attenuation increases and the corrected current superheat deviation also increases simultaneously, bidirectional coupling clearly corresponds to impaired heat exchange in the indoor heat exchanger.
[0144] Furthermore, the processing device is configured to calculate the power consumption attenuation based on the air volume correction coefficient and a preset energy efficiency attenuation model.
[0145] When the airflow correction factor is input into the preset energy efficiency degradation model to calculate the power consumption degradation, the processing module is configured to perform the following: Figure 9 The steps are shown.
[0146] Step S601: Call the pre-configured wind speed reference correction constant and wind speed nonlinear correction constant, sample the current speed of the indoor fan, and calculate the current air volume delivered by the indoor fan based on the wind speed reference correction constant, wind speed nonlinear correction constant, the current speed of the indoor fan and the air volume correction coefficient.
[0147] Step S602: Calculate the real-time cooling capacity based on the current indoor fan supply air volume, return air temperature, and supply air temperature.
[0148] Step S603: Calculate the theoretical power of the compressor corresponding to the current operating condition based on the compressor operating frequency and the difference between the condensing temperature and the evaporating temperature.
[0149] Step S604: Obtain the real-time compressor input power.
[0150] Step S605: Calculate the difference between the real-time compressor input power and the compressor theoretical power.
[0151] Step S606: Use the ratio of the difference between the real-time compressor input power and the theoretical compressor power to the real-time cooling capacity as the power consumption attenuation.
[0152] Specifically, when expressed mathematically, the energy efficiency degradation model satisfies: .
[0153] This represents the power consumption attenuation. For real-time compressor input power, The theoretical power of the compressor corresponding to the current operating conditions is calculated using a dynamic model based on the inverter frequency and refrigerant saturation temperature. This refers to the real-time cooling capacity. The energy efficiency degradation model measures the degree of energy efficiency deterioration by comparing the real-time compressor input power with the theoretical compressor power and combining this with the real-time cooling capacity.
[0154] In the above formula, the theoretical power of the compressor is... satisfy: ;
[0155] in, and These are the mechanical loss coefficient and the thermodynamic loss coefficient, respectively, which are calibrated in the laboratory and are constants available for reference. This refers to the compressor's operating frequency (the frequency value obtained through the frequency converter). This is the condensation temperature. The evaporation temperature. It is the basic power compensation constant.
[0156] Clogging detection relies on airflow or pressure, which is easily affected by environmental fluctuations and is limited by the compressor's theoretical power. In the calculation process, it is decoupled into mechanical power related to the compressor operating frequency and power related to thermodynamics (considering condensing temperature and evaporation temperature). Furthermore, in the calculation of power consumption attenuation, the theoretical power of the compressor is eliminated, and the interference components of normal energy efficiency attenuation caused by the normal influence of ambient temperature and operating frequency on power consumption in the dirt blockage detection are reduced, thereby accurately determining the additional power consumption attenuation caused by heat exchanger dirt blockage.
[0157] Basic power compensation constant satisfy: ,in Based on the fundamental power compensation constant, in Calibration at a temperature of 100 degrees Celsius. This is the ambient temperature compensation coefficient. Real-time ambient temperature. Based on the fundamental power compensation constant. This eliminates the interference of seasonal temperature differences on power consumption assessment. The calibration is performed under experimental conditions and the constants are pre-stored for later recall.
[0158] Real-time cooling capacity satisfy: , The specific heat capacity of air, air density, This represents the current air volume supplied by the indoor fan. Return air temperature, For supply air temperature;
[0159] Current indoor fan air volume satisfy: ,in This represents the current rotational speed of the indoor fan. This is the wind speed reference correction constant. The wind speed nonlinearity correction constant is pre-calibrated and stored for later retrieval. This is the airflow correction factor. Considering that the impact of filter blockage on airflow is non-linear, the airflow correction factor forms a piecewise correction to ensure that the real-time cooling capacity calculation is not based on ideal operating conditions, but on the airflow after the filter is actually damaged, making the calculation results more accurate.
[0160] For example, when the current filter clogging level is 0, the airflow correction factor is... The airflow correction factor is 1 when the current filter clogging level is 1 or 2. for When the current filter clogging level is 3 or 4, the airflow correction factor is... for ...; When the current filter clogging level is n, the airflow correction factor. for .
[0161] The air volume correction factor satisfies: .
[0162] , … The specific values were obtained through experimental calibration, and no further limits are set here.
[0163] The current overheat deviation after fusion correction, and the calculated power consumption attenuation. Obtain the corresponding indoor heat exchanger clogging index. .
[0164] The processing device is configured to perform the following steps when, based on the current superheat deviation after fusion correction and the calculated power consumption attenuation, the corresponding indoor heat exchanger fouling index is obtained:
[0165] A pair of corresponding time-varying weights are set. The time-varying weights are dynamically adjusted as the cumulative operating time of the air conditioning system accounts for the proportion of the design life of the air conditioning system. The longer the cumulative operating time of the air conditioning system, the greater the weight corresponding to the current superheat deviation after correction.
[0166] Specifically, the indoor heat exchanger clogging index satisfy: .
[0167] In the formula, , ,in, The cumulative operating time of the air conditioning system. The design life of the air conditioning system. and With the cumulative operating time of the air conditioning system The proportion of the air conditioning system's lifespan to its design life is dynamically adjusted. The longer the cumulative operating time of the air conditioning system, the better. The larger the value, the higher the weight of the corrected current superheat deviation in the indoor heat exchanger fouling index, and the higher the calculated power consumption reduction. The lower the weight in the indoor heat exchanger clogging index. and A set of time-varying weights is formed to ensure that the indoor heat exchanger dirt and clogging index remains constant throughout the entire life cycle of the air conditioning system. Both can maintain an ideal confidence level, fully taking into account false alarms caused by equipment aging.
[0168] because and The different physical dimensions and numerical ranges affect the calculation of the fouling index of indoor heat exchangers. At this time, the min-max normalization algorithm can be used first to... and Normalization maps the original data to... Within the range.
[0169] In some embodiments of this application, the fouling level of the indoor heat exchanger is determined based on the corresponding indoor heat exchanger fouling index. For example, This indicates that the indoor heat exchanger is in normal condition; This indicates that the indoor heat exchanger is slightly clogged. This indicates moderate dirt and blockage in the indoor heat exchanger. This indicates that the indoor heat exchanger is severely clogged. , , The calibration is performed under experimental conditions and pre-stored for later retrieval.
[0170] After the cumulative running time of the air conditioning system reaches the set correction cycle, the following steps are performed: correcting the indoor fan motor power deviation based on the indoor heat exchanger clogging index, and recalibrating the current filter clogging level.
[0171]
[0172] For example:
[0173] satisfy hour, ;satisfy hour, ;satisfy hour, ;satisfy hour, And satisfy: . The values were calibrated under experimental conditions, and their specific values are not limited here.
[0174] In some embodiments of this application, the correction period is set to 30 days, after which recalibration can be performed once a day.
[0175] In some embodiments of this application, when the current filter clogging level exceeds a preset level, or the indoor heat exchanger level exceeds a preset level, the processing device is configured to issue a warning message to automatically perform intervention or prompt the user to intervene.
[0176] For example, when the indoor heat exchanger is moderately or severely clogged, a human detection sensor can be used to check if anyone is in the room. If no one is in the room, a self-cleaning mode can be activated to clean the indoor heat exchanger. The self-cleaning mode can use algorithms known in the prior art, which are not the focus of this application and will not be elaborated here. Alternatively, the system can remind the user to replace the filter and reset it after replacement.
[0177] In some embodiments of this application, the processing device is configured to perform the following after filter replacement and reset: Figure 10 The steps are shown.
[0178] Step S701: Obtain updated motor standard power .
[0179] Step S702: If the motor standard power is successfully assigned within the initial time window or the supplementary time window, then the motor standard power will be updated. Compared to the previously assigned standard motor power (memorized before filter reset) use (This indicates a comparison).
[0180] Step S703: If updating the motor standard power The motor standard power is greater than the previously assigned value. Then the previously assigned standard motor power remains unchanged, that is, .
[0181] Step S704: If updating the motor standard power Less than the previously assigned standard motor power Then the updated standard power of the motor will be used as the standard power of the motor, that is, there is .
[0182] Step S705: If the motor standard power assignment fails within the initial time window or the supplementary time window (i.e.) If the updated standard power of the motor is used as the standard power of the motor, then the standard power of the motor is... .
[0183] If the updated motor standard power is higher than the previously assigned motor standard power, it indicates that the filter may not have been thoroughly cleaned and the resistance may not have fully recovered. Set the previously assigned motor standard power (i.e., the minimum of the two) as the new benchmark to ensure accurate subsequent control. The air conditioning system can always use the lowest power as an anchor point to ensure detection sensitivity. If the new motor standard power is lower, it indicates that the previous calibration was inaccurate, or that the newly replaced filter has better performance. In this case, use the updated motor standard power as the new motor standard power.
[0184] In some embodiments of this application, when the current filter clogging level is not 0, a constant air volume output is maintained by compensating the indoor fan speed. The compensation algorithm can be an algorithm disclosed in the art, which will not be described in detail here.
[0185] When calibrating parameters, the following parameters are used as reference parameters: indoor temperature (20℃~32℃, with each 2℃ interval for verification), outdoor temperature (5℃~55℃, with each 2℃ interval for verification), compressor frequency (21-100Hz, with each 5Hz interval for verification), and air volume (80% of rated air volume, 70% of rated air volume, 60% of rated air volume, and 50% of rated air volume). Other parameters may also be included as reference parameters, which will not be listed here.
[0186] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.
[0187] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. Air conditioning system, including: Indoor unit, which includes: The casing has a return air vent on it; A filter screen is installed at the return air vent; An indoor fan is disposed within the housing; Its characteristic is that it further includes: The processing module is configured to perform the following steps when the air conditioning system meets preset stable operating conditions: classify the current filter clogging level based on the indoor fan motor power deviation and cumulative running time; generate a superheat correction coefficient and an airflow correction coefficient based on the current filter clogging level; correct the current superheat deviation based on the superheat correction coefficient; input the airflow correction coefficient into a preset energy efficiency attenuation model to calculate the power consumption attenuation; fuse the corrected current superheat deviation and the power consumption attenuation to obtain the corresponding indoor heat exchanger clogging index; correct the indoor fan motor power deviation based on the indoor heat exchanger clogging index, and recalibrate the current filter clogging level.
2. The air conditioning system according to claim 1, characterized in that: When the air volume correction coefficient is input into the preset energy efficiency attenuation model to calculate the power consumption attenuation, the processing module is configured to perform the following steps: The pre-configured wind speed reference correction constant and wind speed nonlinear correction constant are called, the current speed of the indoor fan is sampled, and the current air volume of the indoor fan is calculated based on the wind speed reference correction constant, wind speed nonlinear correction constant, the current speed of the indoor fan and the air volume correction coefficient. Calculate the real-time cooling capacity based on the current indoor fan supply air volume, return air temperature, and supply air temperature. The theoretical power of the compressor corresponding to the current operating condition is calculated based on the compressor operating frequency and the difference between the condensing temperature and the evaporating temperature. Obtain the real-time compressor input power; Calculate the difference between the real-time compressor input power and the compressor's theoretical power; The power consumption attenuation is calculated as the ratio of the difference between the real-time compressor input power and the theoretical compressor power to the real-time cooling capacity.
3. The air conditioning system according to claim 1 or 2, characterized in that: The processing device is also configured to assign a standard power value to the motor, determine a standard power value for the indoor fan motor, and is configured to perform the following steps: Set the initial time window; Within the initial time window, if the indoor fan is in air supply mode at the set wind speed, the real-time motor power of the indoor fan is sampled. Within the initial time window, if the indoor fan is in cooling mode at a non-set fan speed, drive the indoor fan to run at the set fan speed until the end of the set time period, and sample the real-time motor power of the indoor fan. Determine whether the number of times the indoor fan runs at the set fan speed within the initial time window meets the preset conditions; If satisfied, obtain the maximum and minimum real-time motor power of the indoor fan within the initial time window, and use the difference between the two as the instantaneous power difference; Compare the instantaneous power difference with the set power difference threshold; If the instantaneous power difference is lower than the set power difference threshold, the minimum real-time motor power is used as the standard motor power, and the motor standard power is determined to be successfully assigned. If the instantaneous power difference is higher than the set power difference threshold, the maximum real-time motor power is used as the standard motor power, and the motor standard power is determined to be successfully assigned.
4. The air conditioning system according to claim 3, characterized in that: The processing device is also configured to assign a standard power value to the motor, determine a standard power value for the indoor fan motor, and is further configured to perform the following steps: If the number of times the indoor fan runs at the set fan speed does not meet the preset conditions within the initial time window, a supplementary time window is set. During the supplementary time window, human detection sensors are used to detect whether there are people in the room; When there are people indoors, if the indoor fan is in the air supply mode at the set fan speed, the real-time motor power of the indoor fan is sampled, and the sampled real-time motor power of the indoor fan is used as the standard power of the motor. The motor standard power is then determined to be successfully assigned. When there are people indoors, if the indoor fan is running in cooling mode at a speed other than the set speed, the indoor fan will be driven to run at the set speed until the end of the set time period. The real-time motor power of the indoor fan will be sampled and used as the standard power of the motor. The standard power of the motor will be determined to be successfully assigned. When no one is in the room, the indoor fan is driven to run at the set fan speed until the end of the set time period. The real-time motor power of the indoor fan is sampled and used as the standard power of the motor. The assignment of the standard power of the motor is then considered successful.
5. The air conditioning system according to claim 4, characterized in that: If the motor standard power assignment is not successfully determined after the supplementary time window ends, the motor standard power is set to zero, and the motor standard power assignment is determined to have failed.
6. The air conditioning system according to claim 5, characterized in that: The processing device is configured to acquire the measured power of the motor after the supplementary time window ends; When obtaining the measured power of the motor, the processing device is configured to perform the following steps: Determine whether the indoor fan is operating in air supply mode at the set fan speed or in cooling mode at a non-set fan speed. If the indoor fan is in the air supply mode at the set fan speed, the real-time motor power of the indoor fan is sampled, and the current indoor fan motor power is stored as the actual measured motor power, overwriting the previously stored actual measured motor power. If the indoor fan is running in cooling mode at a speed other than the set speed, drive the indoor fan to run at the set speed until the end of the set time period, sample the real-time motor power of the indoor fan, store the indoor fan motor power at this time as the actual measured power of the motor, and overwrite the previously stored actual measured power of the motor.
7. The air conditioning system according to claim 6, characterized in that: When obtaining the measured power of the motor, the processing device is also configured to perform the following steps: The time interval between the cumulative measured power of the motor and the previous stored power is determined, and it is determined whether the time interval exceeds the set intervention period. When the time interval exceeds the set intervention period, the human detection sensor is configured to detect whether there is anyone in the room; If no one is in the room, the indoor fan will be driven to run at the set fan speed until the end of the set time period. The real-time motor power of the indoor fan will be sampled and stored as the actual measured power of the motor, overwriting the previously stored actual measured power.
8. The air conditioning system according to claim 7, characterized in that: The processing device is configured to perform the following steps when classifying the current filter clogging level based on indoor fan motor power deviation and cumulative runtime: If the standard power of the motor is successfully assigned, the preset dual-parameter fusion model is invoked to classify the current filter clogging level based on the indoor fan motor power deviation and cumulative running time. If the standard power assignment for the motor fails, a preset empirical model is invoked to classify the current filter clogging level based on the cumulative running time.
9. The air conditioning system according to claim 4, characterized in that: The processing device is configured to perform the following steps after the filter screen is replaced and reset: Obtain updated motor standard power; If the motor standard power is successfully assigned within the initial time window or supplementary time window, compare and update the motor standard power with the previously assigned motor standard power. If the updated standard motor power is greater than the previously assigned standard motor power, then the previously assigned standard motor power remains unchanged. If the updated standard motor power is less than the previously assigned standard motor power, then the updated standard motor power shall be used as the standard motor power. If the motor standard power assignment fails within the initial time window or supplementary time window, the updated motor standard power will be used.
10. The air conditioning system according to claim 3, characterized in that: The processing device is configured to perform the following steps when, based on the current superheat deviation after fusion correction and the calculated power consumption attenuation, the corresponding indoor heat exchanger fouling index is obtained: A pair of corresponding time-varying weights are set. The time-varying weights are dynamically adjusted as the cumulative operating time of the air conditioning system accounts for the proportion of the design life of the air conditioning system. The longer the cumulative operating time of the air conditioning system, the greater the weight corresponding to the corrected current superheat deviation.