Air conditioner fault detection method, device and air conditioner

Abstract

Embodiments of the application provide an air conditioner fault detection method, device and air conditioner, and relate to the technical field of air conditioners. The method comprises: obtaining a group of target operation data. Based on a statistical data set, the deviation coefficient of each target operation data is calculated, wherein the statistical data set comprises a plurality of statistical data, and each statistical data corresponds to a target operation data. Based on a fault coefficient calculation formula, the fault coefficient of the air conditioner is calculated according to a plurality of deviation coefficients. According to the size relationship between the fault coefficient and the preset fault coefficient threshold, it is judged whether the air conditioner has a fault. The application can effectively improve the accuracy of air conditioner fault detection.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and more specifically, to an air conditioning fault detection method, device, and air conditioner. Background Technology

[0002] With the improvement of living standards, air conditioners have become an indispensable appliance in people's homes. During the use of air conditioners, malfunctions are inevitable due to factors such as age and improper operation.

[0003] Existing methods for detecting air conditioner malfunctions generally involve setting reasonable values ​​for operating data such as refrigerant pressure, refrigerant temperature, and machine control values ​​in an experiment. Then, the abnormality is determined by measuring the operating data during cooling or heating operation, thereby detecting whether the air conditioner has malfunctioned.

[0004] However, the inventors discovered that because there are various conditions for setting up air conditioner piping length, height difference, and connection of indoor units, the reasonable values ​​of operating data will also vary depending on the house, which leads to inaccurate fault detection of air conditioners. Summary of the Invention

[0005] The objectives of this invention include, for example, providing an air conditioner fault detection method, apparatus, and air conditioner that can at least partially solve the aforementioned technical problems.

[0006] The embodiments of the present invention can be implemented as follows:

[0007] In a first aspect, embodiments of the present invention provide an air conditioner fault detection method, the method comprising:

[0008] Obtain a set of target operation data;

[0009] Based on a set of statistical data, the deviation coefficient of each target operational data is calculated, wherein the set of statistical data includes multiple statistical data, and each statistical data corresponds to one target operational data.

[0010] Based on the fault coefficient calculation formula, the fault coefficient of the air conditioner is calculated according to multiple deviation coefficients.

[0011] Based on the relationship between the fault coefficient and the preset fault coefficient threshold, it is determined whether the air conditioner has malfunctioned.

[0012] Optionally, the method further includes the step of obtaining the statistical data set, which includes:

[0013] The operating mode of the air conditioner is obtained, including a cooling mode and a heating mode;

[0014] Based on the operating mode, when the preset fault detection condition is reached, multiple first operating data sets or multiple second operating data sets are acquired within a first preset time period, wherein the acquisition time of each two first operating data sets / second operating data sets is spaced apart by a second preset time period.

[0015] The statistical data set is obtained by calculating the first average value and the first standard deviation of each first operational data included in each first operational data set, or by calculating the second average value and the second standard deviation of each second operational data included in each second operational data set.

[0016] Optionally, the method further includes a step of determining whether the preset fault detection condition has been met, the step including:

[0017] Obtain the outer ring temperature, the indoor unit capacity of the air conditioner, and the outdoor unit capacity of the air conditioner;

[0018] Determine whether the outer ring temperature is within a preset temperature range, and determine whether the ratio of the indoor unit capacity to the outdoor unit capacity is within a preset capacity range;

[0019] If so, the preset fault detection condition is determined to have been met.

[0020] Optionally, calculating the deviation coefficient for each of the target operational data based on the statistical data set includes:

[0021] Calculate the deviation coefficient of each target operation data according to the deviation coefficient calculation formula;

[0022] The formula for calculating the deviation coefficient is:

[0023] di(x)=(xx ave ) / σ

[0024] Where x is the target operating data, and di(x) is the deviation coefficient of the target operating data. ave σ is the first average value / second average value corresponding to the target operating data in the statistical data set, and σ is the first standard deviation / second standard deviation corresponding to the target operating data in the statistical data set.

[0025] Optionally, the target operating data includes refrigeration target operating data, which includes exhaust pressure, exhaust superheat, outdoor heat exchanger liquid-side subcooling, compressor speed, and indoor expansion valve opening; the fault coefficient calculation formula includes a first refrigeration fault coefficient calculation formula, a second refrigeration fault coefficient calculation formula, and a third refrigeration fault coefficient calculation formula, whereby the fault coefficient includes a refrigerant leakage coefficient, a refrigeration outdoor heat exchanger contamination coefficient, and a refrigeration indoor filter clogging coefficient; the calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula, according to multiple deviation coefficients, includes:

[0026] Based on the first refrigeration failure coefficient calculation formula, the refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the exhaust pressure, the exhaust superheat, the liquid side subcooling of the outdoor heat exchanger, the compressor speed, and the opening of the indoor expansion valve.

[0027] Based on the second refrigeration failure coefficient calculation formula, the pollution coefficient of the refrigeration outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the exhaust pressure and the liquid side subcooling of the outdoor heat exchanger.

[0028] Based on the third refrigeration failure coefficient calculation formula, the filter blockage coefficient in the refrigeration room is calculated according to the deviation coefficients corresponding to the exhaust superheat, the compressor speed, and the opening degree of the indoor expansion valve.

[0029] Optionally, the formula for calculating the first refrigeration failure factor is:

[0030] Krl1={-di(Pd)+di(SHd)-di(SCo)-di(Rc)+di(EXi)} / 5

[0031] The second formula for calculating the refrigeration failure factor is:

[0032] Koh1 = {di(Pd) - di(SCo)} / 2

[0033] The formula for calculating the third refrigeration failure factor is as follows:

[0034] Kif1={-di(SHd)-di(Rc)-di(EXi)} / 3

[0035] Wherein, Krl1 is the refrigerant leakage coefficient, Koh1 is the outdoor heat exchanger contamination coefficient, Kif1 is the indoor filter clogging coefficient, Pd is the exhaust pressure, SHd is the exhaust superheat, SCo is the liquid-side subcooling of the outdoor heat exchanger, Rc is the compressor speed, and EXi is the indoor expansion valve opening.

[0036] Optionally, the target operating data includes heating target operating data, which includes suction pressure, exhaust superheat, compressor speed, outdoor expansion valve opening, and indoor expansion valve opening; the fault coefficient calculation formula includes a first heating fault coefficient calculation formula, a second heating fault coefficient calculation formula, and a third heating fault coefficient calculation formula, whereby the fault coefficient includes a heating refrigerant leakage coefficient, a heating outdoor heat exchanger contamination coefficient, and a heating indoor filter clogging coefficient; the calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula, according to multiple deviation coefficients, includes:

[0037] Based on the first heating failure coefficient calculation formula, the heating refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat, the compressor speed, the outdoor expansion valve opening and the indoor expansion valve opening, respectively.

[0038] Based on the second heating failure coefficient calculation formula, the pollution coefficient of the heating outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat and the outdoor expansion valve opening, respectively.

[0039] Based on the third heating failure coefficient calculation formula, the filter blockage coefficient in the heating room is calculated according to the deviation coefficients corresponding to the compressor speed and the opening degree of the indoor expansion valve.

[0040] Optionally, the formula for calculating the first heating failure factor is:

[0041] Krl2={-di(Ps)+di(SHd)+di(Rc)+di(EXo)-di(EXi)} / 5

[0042] The second formula for calculating the heating failure factor is:

[0043] Koh2={-di(Ps)-di(SHd)-di(EXo)} / 3

[0044] The formula for calculating the third heating failure factor is as follows:

[0045] Kif2 = {-di(Rc)-di(EXi)} / 2

[0046] Wherein, Krl2 is the refrigerant leakage coefficient, Koh2 is the outdoor heat exchanger contamination coefficient, Kif2 is the indoor filter clogging coefficient, Ps is the suction pressure, SHd is the exhaust superheat, Rc is the compressor speed, EXo is the outdoor expansion valve opening, and EXi is the indoor expansion valve opening.

[0047] Secondly, embodiments of the present invention provide an air conditioner fault detection device, the air conditioner fault detection device comprising:

[0048] The target operation data acquisition unit is used to acquire a set of target operation data;

[0049] The deviation coefficient calculation unit is used to calculate the deviation coefficient of each target operating data based on a statistical data set, wherein the statistical data set includes multiple statistical data, and each statistical data corresponds to one target operating data;

[0050] The fault coefficient calculation unit is used to calculate the fault coefficient of the air conditioner based on the fault coefficient calculation formula and according to multiple deviation coefficients.

[0051] The fault determination unit is used to determine whether the air conditioner has malfunctioned based on the relationship between the fault coefficient and the preset fault coefficient threshold.

[0052] Thirdly, embodiments of the present invention provide an air conditioner that, when running, implements the steps of any of the above-described air conditioner fault detection methods.

[0053] Fourthly, embodiments of the present invention provide a computer-readable storage medium, the computer-readable storage medium including a computer program, wherein the computer program, when executed, controls a server where the computer-readable storage medium is located to implement the steps of any of the above-described air conditioner fault detection methods.

[0054] The beneficial effects of the embodiments of the present invention include, for example:

[0055] By acquiring a set of target operating data, and then calculating the deviation coefficient of each operating data point from the statistical data set corresponding to each target operating data point, the air conditioner's fault coefficient is calculated using each deviation coefficient. Furthermore, the relationship between the fault coefficient and a preset fault coefficient threshold is used to determine whether the air conditioner has malfunctioned. Since the air conditioner's installation environment does not need to be considered, air conditioner fault detection is more accurate. Attached Figure Description

[0056] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a schematic diagram of the structure of an air conditioner provided in an embodiment of the present invention;

[0058] Figure 2 This is a flowchart illustrating the steps of an air conditioner fault detection method provided in an embodiment of the present invention.

[0059] Figure 3 A flowchart of sub-steps for obtaining a statistical data set is provided in an embodiment of the present invention;

[0060] Figure 4 An example diagram of an air conditioner fault detection method provided in an embodiment of the present invention;

[0061] Figure 5 This is a schematic diagram of an air conditioner fault detection device provided in an embodiment of the present invention.

[0062] Icons: 01-Air conditioner; 10-Indoor unit of air conditioner; 101-Indoor heat exchanger; 102-Indoor fan; 20-Outdoor unit of air conditioner; 201-Compressor; 202-Four-way valve; 203-Outdoor heat exchanger; 204-Outdoor fan; 205-Expansion valve; 30-Controller; 300-Air conditioner fault detection device; 301-Target operation data acquisition unit; 302-Deviation coefficient calculation unit; 303-Fault coefficient calculation unit; 304-Fault judgment unit. Detailed Implementation

[0063] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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 embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0064] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0065] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0066] Furthermore, the terms "first" and "second" are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0067] It should be noted that, where there is no conflict, the features in the embodiments of the present invention can be combined with each other.

[0068] like Figure 1 The diagram shows a typical air conditioner 01, which includes an indoor unit 10 and an outdoor unit 20. The indoor unit 10 and outdoor unit 20 are connected by pipes to transfer refrigerant. The indoor unit 10 includes an indoor heat exchanger 101 and an indoor fan 102. The outdoor unit 20 includes a compressor 201, a four-way valve 202, an outdoor heat exchanger 203, an outdoor fan 204, and an expansion valve 205. The compressor 201, outdoor heat exchanger 203, expansion valve 205, and indoor heat exchanger 101, connected in sequence, form a refrigerant circuit. The refrigerant circulates in this circuit and exchanges heat with the air through the outdoor heat exchanger 203 and indoor heat exchanger 101, respectively, to achieve either cooling or heating mode for the air conditioner 01.

[0069] Compressor 201 is used to compress refrigerant so that low-pressure refrigerant is compressed to form high-pressure refrigerant.

[0070] The outdoor heat exchanger 203 is used to exchange heat between outdoor air and the refrigerant transported within it. For example, in the cooling mode of the air conditioner 01, the outdoor heat exchanger 203 operates as a condenser, causing the refrigerant compressed by the compressor 201 to dissipate heat to the outdoor air and condense. In the heating mode of the air conditioner 01, the outdoor heat exchanger 203 operates as an evaporator, causing the depressurized refrigerant to absorb heat from the outdoor air and evaporate.

[0071] The outdoor fan 204 draws outdoor air into the outdoor unit 20 through the outdoor air inlet and discharges the outdoor air after heat exchange with the outdoor heat exchanger 203 through the outdoor air outlet. The outdoor fan 204 provides power for the flow of outdoor air.

[0072] Expansion valve 205 is connected between outdoor heat exchanger 203 and indoor heat exchanger 101. The opening degree of expansion valve 205 regulates the refrigerant pressure flowing through both heat exchangers, thereby regulating the refrigerant flow rate between them. The flow rate and pressure of the refrigerant flowing between these two heat exchangers affect their heat exchange performance. Expansion valve 205 can be an electronic valve. The opening degree of expansion valve 205 is adjustable to control the flow rate and pressure of the refrigerant flowing through it.

[0073] The four-way valve 202 is connected to the refrigerant circuit. The four-way valve 202 is used to switch the flow direction of the refrigerant in the refrigerant circuit so that the air conditioner 01 can perform the cooling mode or the heating mode.

[0074] The indoor heat exchanger 101 is used to exchange heat between indoor air and the refrigerant transported within it. For example, in the cooling mode of the air conditioner 01, the indoor heat exchanger 101 operates as an evaporator, causing the refrigerant, after dissipating heat via the outdoor heat exchanger 203, to absorb heat from the indoor air and evaporate. In the heating mode of the air conditioner 01, the indoor heat exchanger 101 operates as a condenser, causing the refrigerant, after absorbing heat via the outdoor heat exchanger 203, to dissipate heat to the indoor air and condense.

[0075] The indoor fan 102 is used to draw indoor air into the indoor air conditioning unit 10 through the indoor air inlet, and to send the indoor air, after heat exchange with the indoor heat exchanger 101, out through the indoor air outlet of the indoor air conditioning unit 10. The indoor fan 102 provides power for the flow of indoor air.

[0076] Air conditioner 01 also includes a controller 30. The controller 30 is used to control the operation of the compressor 201, and also to control the opening degree of the expansion valve 205, the speed of the outdoor fan 204, and the speed of the indoor fan 102. The controller 30 is connected to the compressor 201, the expansion valve 205, the outdoor fan 204, and the indoor fan 102 via a data cable to transmit communication information.

[0077] Controller 30 includes a processor. The processor may include a central processing unit (CPU), a microprocessor, or an application-specific integrated circuit (ASIC), and may be used to perform the corresponding operations described in controller 30 when the processor executes a program stored in a non-transitory computer-readable medium coupled to controller 30. The non-transitory computer-readable storage medium may include magnetic storage devices (e.g., hard disks, floppy disks, or magnetic tapes), smart cards, or flash memory devices (e.g., erasable programmable read-only memory (EPROM), card, stick, or keyboard drive).

[0078] It should be noted that, Figure 1 The example shown is only one type of air conditioner supported by this embodiment of the invention. In practical applications, this embodiment of the invention can also support air conditioners with various structures such as multi-split units, which will not be described in detail here.

[0079] Air conditioners have many applications, including residential and commercial use. If a commercial air conditioner malfunctions and stops operating abnormally, it cannot resume cooling or heating until an engineer performs repairs. This prevents businesses in shops and offices from operating, causing significant inconvenience to users.

[0080] Furthermore, because engineers need to perform repairs when the air conditioner has malfunctioned and stopped, they cannot confirm its operational status, making it difficult to pinpoint specific problems such as refrigerant leaks, outdoor heat exchanger contamination, or indoor filter blockage. Moreover, due to misdiagnosis, engineers may perform unnecessary repairs.

[0081] In existing technologies, reasonable values ​​for operating data such as refrigerant pressure, refrigerant temperature, and machine control values ​​are typically set in advance through experiments. These values ​​are then used to identify anomalies in the measured operating data during cooling or heating operation, thus detecting faults. However, multi-split air conditioners have various configuration conditions, including piping length, height differences, and indoor unit connections. The reasonable values ​​for operating data vary depending on the building, leading to problems such as the inability to detect abnormal operating data, or the identification of abnormal data even when the operating data appears normal.

[0082] Therefore, it is essential to detect minor faults as early as possible based on operating data during cooling or heating operation, and to improve the accuracy of fault detection.

[0083] Based on the above, this specification provides an air conditioner fault detection method, device, and air conditioner, which can effectively alleviate the above-mentioned technical problems.

[0084] like Figure 2 As shown in the figure, an embodiment of the present invention provides an air conditioner fault detection method, the method comprising the following steps:

[0085] Step S110: Obtain a set of target operation data.

[0086] Step S120: Based on the statistical data set, calculate the deviation coefficient of each target operation data, wherein the statistical data set includes multiple statistical data, and each statistical data corresponds to one target operation data.

[0087] Step S130: Based on the fault coefficient calculation formula, calculate the fault coefficient of the air conditioner according to the multiple deviation coefficients.

[0088] Step S140: Determine whether the air conditioner has malfunctioned based on the relationship between the fault coefficient and the preset fault coefficient threshold.

[0089] In step S110, a set of target operation data is acquired.

[0090] Target operating data can be newly detected data generated during the operation of components on the air conditioner for air conditioner fault detection. Operating data can be of various types, such as exhaust / intake pressure, refrigerant temperature, expansion valve opening, etc., and can be obtained through various types of sensors. A set of target operating data can be all the target operating data required by the controller to detect air conditioner faults.

[0091] When the conditions for air conditioner fault detection are met, the controller obtains a target operating data from different structures on the air conditioner through sensors, thus obtaining a set of target operating data.

[0092] Optionally, the method further includes a step of determining whether the preset fault detection condition has been met, the step including:

[0093] The outer ring temperature, the indoor unit capacity of the air conditioner, and the outdoor unit capacity of the air conditioner are obtained.

[0094] Determine whether the outer ring temperature is within a preset temperature range, and determine whether the ratio of the indoor unit capacity to the outdoor unit capacity is within a preset capacity range.

[0095] If so, the preset fault detection condition is determined to have been met.

[0096] To make fault detection more accurate, when acquiring various air conditioning data, it is necessary to ensure that the air conditioner is operating under pre-set environmental conditions.

[0097] As an alternative implementation method, the ambient temperature and the operating capacity of the indoor air conditioning unit can be used as the standard for environmental conditions.

[0098] First, obtain the outer ring temperature, indoor unit capacity, and outdoor unit capacity. Then, determine whether the outer ring temperature is within the preset temperature range and whether the ratio of indoor unit capacity to outdoor unit capacity (i.e., operating capacity) is within the preset capacity range.

[0099] When both conditions are met, the preset fault detection conditions are determined to have been met.

[0100] For example, in cooling mode, the outer ring temperature range can be set to [25, 30°C) and the indoor unit operating capacity range to [75%, 105%]; in heating mode, the outer ring temperature range can be set to [5, 10°C] and the indoor unit operating capacity range to [75%, 105%]. Under different operating modes, if the detected outer ring temperature and the ratio of the indoor unit capacity to the outdoor unit capacity are within the aforementioned outer ring temperature range and indoor unit operating capacity range, then the preset fault detection condition is determined to have been met.

[0101] Optionally, such as Figure 3As shown, the method further includes a step of obtaining the statistical data set, which includes the following sub-steps:

[0102] Sub-step S210: Obtain the operating mode of the air conditioner, the operating mode including cooling mode and heating mode.

[0103] Sub-step S220: Based on the operating mode, when the preset fault detection condition is met, multiple first operating data sets or multiple second operating data sets are acquired within a first preset time period, wherein the acquisition time of each two first operating data sets / second operating data sets is spaced apart by a second preset time period.

[0104] Sub-step S230: Calculate the first average value and first standard deviation of each first operating data included in each first operating data set, or calculate the second average value and second standard deviation of each second operating data included in each second operating data set, to obtain the statistical data set.

[0105] The statistical data set can be a collection of data prepared before fault detection of the air conditioner. Since the statistical data required for air conditioner cooling and heating modes may differ, they need to be acquired separately.

[0106] When acquiring the statistical data set, the air conditioner's operating mode (i.e., cooling or heating mode) is first determined. If it is in cooling mode, the first operating data is acquired when the air conditioner meets preset operating indicators (i.e., preset fault detection conditions). Multiple different first operating data sets are acquired each time, and each acquired first operating data set is considered as a first operating data set. After acquiring each first operating data set, a certain time (i.e., a second preset time) is waited before acquiring the next first operating data set. When the set time (i.e., the first preset time) is reached or the number of acquired first operating data sets reaches a preset number, the acquisition of first operating data sets stops. The average value (i.e., the first average value) and standard deviation (i.e., the first standard deviation) of the multiple different acquired first operating data sets are calculated respectively to obtain the average value and standard deviation of each first operating data set. These are then integrated to obtain the statistical data set.

[0107] Similarly, in heating mode, the system begins acquiring second operating data when the air conditioner meets preset operating parameters. Multiple different sets of second operating data are acquired each time, and each acquired set is treated as a single second operating data set. After acquiring each set of second operating data, a second preset time is waited before acquiring the next set. When the first preset time is reached or the number of acquired second operating data sets reaches a preset number, acquisition of second operating data sets ceases. The average value (second average) and standard deviation (second standard deviation) of the acquired second operating data are calculated for each set, and these are then integrated to obtain a statistical data set.

[0108] For example, if the first preset duration is 3 hours, the second preset duration is 10 minutes, and the air conditioner is in cooling mode, and the first operating data are A, B, and C respectively, then when the preset operating indicators are met, A, B, and C are acquired once, and this is used as the first operating data set. A, B, and C are acquired again after a 10-minute interval, and this is used as the first operating data set... until the duration reaches 3 hours, at which point the acquisition of the first operating data set stops, resulting in 18 first operating data sets, including 18 sets of first operating data A, 18 sets of first operating data B, and 18 sets of first operating data C. Then, the first average and first standard deviation of the 18 sets of A, the first average and first standard deviation of the 18 sets of C, and the first average and first standard deviation of the 18 sets of C are calculated respectively, and integrated to obtain the statistical data set.

[0109] Step S120 is executed, which calculates the deviation coefficient of each target operation data based on the statistical data set, wherein the statistical data set includes multiple statistical data, and each statistical data corresponds to one target operation data.

[0110] The statistical data set can be a collection of multiple statistical data stored in the air conditioner, with each statistical data corresponding to a target operating data obtained in step S110. For example, if the target operating data obtained is exhaust pressure, exhaust superheat, and compressor speed, then the statistical data set would be three statistical data corresponding to exhaust pressure, exhaust superheat, and compressor speed, respectively, such as variance, standard deviation, and average.

[0111] The deviation coefficient can be a factor representing the difference between the measured value of the target operating data and the statistical data stored in memory, which is several times the standard deviation.

[0112] Based on the statistical data corresponding to the operational data of each target in the statistical data set, the deviation coefficient of each target's operational data can be calculated.

[0113] Optionally, calculating the deviation coefficient for each of the target operational data based on the statistical data set includes:

[0114] Calculate the deviation coefficient for each of the target operating data according to the deviation coefficient calculation formula.

[0115] The formula for calculating the deviation coefficient is:

[0116] di(x)=(xx ave ) / σ

[0117] Where x is the target operating data, and di(x) is the deviation coefficient of the target operating data. ave σ is the first average value / second average value corresponding to the target operating data in the statistical data set, and σ is the first standard deviation / second standard deviation corresponding to the target operating data in the statistical data set.

[0118] As an optional implementation, the deviation coefficient can be calculated using the preset formula di(x) = (xx) ave The deviation coefficient of each target operating data is calculated using σ / D. ​​For example, given a set of target operating data D, E, and F, the first average / second average and the first standard deviation / second standard deviation are retrieved from the statistical data sets corresponding to D, E, and F (the first average and first standard deviation are used in cooling mode, and the second average and second standard deviation are used in heating mode). Then, di(D), di(E), and di(F) are calculated according to the formulas.

[0119] Step S130 is executed, and the fault coefficient of the air conditioner is calculated based on the fault coefficient calculation formula and according to the multiple deviation coefficients.

[0120] After obtaining the deviation coefficients of the operating data of each target, the failure coefficient of the air conditioner can be calculated based on the failure coefficient calculation formula according to each deviation coefficient.

[0121] Optionally, the target operating data includes refrigeration target operating data, which includes exhaust pressure, exhaust superheat, outdoor heat exchanger liquid-side subcooling, compressor speed, and indoor expansion valve opening; the fault coefficient calculation formula includes a first refrigeration fault coefficient calculation formula, a second refrigeration fault coefficient calculation formula, and a third refrigeration fault coefficient calculation formula, whereby the fault coefficient includes a refrigerant leakage coefficient, a refrigeration outdoor heat exchanger contamination coefficient, and a refrigeration indoor filter clogging coefficient; the calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula, according to multiple deviation coefficients, includes:

[0122] Based on the first refrigeration failure coefficient calculation formula, the refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the exhaust pressure, the exhaust superheat, the liquid-side subcooling of the outdoor heat exchanger, the compressor speed, and the opening degree of the indoor expansion valve.

[0123] Based on the second refrigeration failure coefficient calculation formula, the pollution coefficient of the refrigeration outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the exhaust pressure and the liquid-side subcooling of the outdoor heat exchanger.

[0124] Based on the third refrigeration failure coefficient calculation formula, the filter blockage coefficient in the refrigeration room is calculated according to the deviation coefficients corresponding to the exhaust superheat, the compressor speed, and the opening degree of the indoor expansion valve.

[0125] Generally, the deviation of operational data is considered to be normally distributed. Therefore, when no faults occur, the measured target operational data will be within a range of multiples of the standard deviation centered on the mean with a fixed probability. For example, 95% of the target operational data will be within the range of mean ± standard deviation × 2; 99.7% of the target operational data will be within the range of mean ± standard deviation × 3, and so on.

[0126] When a malfunction occurs, the difference between the average value of the target operating data and the average value increases. Consequently, the absolute value of the deviation coefficient, which is calculated as several times the difference between the average value and the standard deviation, also increases. Therefore, the presence or absence of an abnormal deviation coefficient in the target operating data can be used to determine whether an air conditioning malfunction has occurred.

[0127] As an optional embodiment, in cooling mode, the target operating data includes cooling target operating data, which includes exhaust pressure, exhaust superheat, outdoor heat exchanger liquid-side subcooling, compressor speed, and indoor expansion valve opening. The refrigerant leakage coefficient can be calculated using a first cooling failure coefficient calculation formula, the outdoor heat exchanger contamination coefficient can be calculated using a second cooling failure coefficient calculation formula, and the indoor filter clogging coefficient can be calculated using a third cooling failure coefficient calculation formula.

[0128] Based on the first refrigeration failure coefficient calculation formula, the refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the exhaust pressure, the exhaust superheat, the liquid-side subcooling of the outdoor heat exchanger, the compressor speed, and the opening degree of the indoor expansion valve.

[0129] When refrigerant leakage occurs in cooling mode, the refrigerant density inside the refrigerant piping decreases, resulting in lower refrigerant pressure, increased superheat for gas-fired refrigerant, and decreased subcooling for liquid-fired refrigerant. In other words, the discharge pressure is lower than the normal average. Therefore, the discharge pressure deviation coefficient is negative, and its absolute value increases depending on the extent of the refrigerant leakage. Because the suction superheat increases, the discharge superheat is greater than the normal average. Therefore, the discharge superheat deviation coefficient is positive, and its absolute value increases depending on the extent of the refrigerant leakage. Meanwhile, the liquid-side subcooling of the outdoor heat exchanger is lower than the normal average. Therefore, the liquid-side subcooling deviation coefficient of the outdoor heat exchanger is negative, and its absolute value increases depending on the extent of the refrigerant leakage. Because the suction pressure decreases, the compressor speed, controlled by the suction pressure, becomes lower than the normal average. Therefore, the compressor speed deviation coefficient is negative, and its absolute value increases depending on the extent of the refrigerant leakage. Furthermore, due to the increased superheat on the gas side of the indoor heat exchanger, the opening degree of the indoor expansion valve, controlled by the superheat on the gas side of the indoor heat exchanger, is larger than the normal average. Therefore, the deviation coefficient of the indoor expansion valve opening is positive, and its absolute value increases according to the degree of refrigerant leakage.

[0130] Therefore, the formula for calculating the first refrigeration failure factor can be:

[0131] Krl1={-di(Pd)+di(SHd)-di(SCo)-di(Rc)+di(EXi)} / 5

[0132] Wherein, Krl1 is the refrigerant leakage coefficient, Pd is the exhaust pressure, SHd is the exhaust superheat, SCo is the liquid-side subcooling of the outdoor heat exchanger, Rc is the compressor speed, and EXi is the opening degree of the indoor expansion valve.

[0133] In other words, as refrigerant leakage progresses, the average value of -di(Pd), di(SHd), -di(SCo), -di(Rc), and di(EXi) {-di(Pd)+di(SHd)-di(SCo)-di(Rc)+di(EXi)} / 5 increases, and the refrigerant leakage coefficient Krl1 increases. Therefore, the occurrence of refrigerant leakage in cooling mode can be determined based on the refrigerant leakage coefficient Krl1.

[0134] Based on the second refrigeration failure coefficient calculation formula, the pollution coefficient of the refrigeration outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the exhaust pressure and the liquid-side subcooling of the outdoor heat exchanger.

[0135] When the outdoor heat exchanger becomes contaminated, its condensing capacity decreases. Therefore, the condensing pressure increases, and the subcooling at the condenser outlet decreases. In other words, the exhaust pressure is higher than the normal average. Consequently, the deviation coefficient of the exhaust pressure is positive, and the absolute value corresponding to the degree of contamination of the outdoor heat exchanger increases. The liquid-side subcooling of the outdoor heat exchanger is lower than the normal average. Therefore, the deviation coefficient of the liquid-side subcooling of the outdoor heat exchanger is negative, and the absolute value corresponding to the degree of contamination of the outdoor heat exchanger increases.

[0136] Therefore, the formula for calculating the second refrigeration failure factor can be:

[0137] Koh1 = {di(Pd) - di(SCo)} / 2

[0138] Wherein, Koh1 is the contamination coefficient of the outdoor heat exchanger. That is, as the outdoor heat exchanger becomes contaminated, the average value of di(Pd) and -di(SCo) {di(Pd)-di(SCo)} / 2 increases, and the contamination coefficient Koh1 of the outdoor heat exchanger also increases. Therefore, the contamination coefficient Koh1 of the outdoor heat exchanger can be used to determine whether the outdoor heat exchanger is contaminated.

[0139] Based on the third refrigeration failure coefficient calculation formula, the filter blockage coefficient in the refrigeration room is calculated according to the deviation coefficients corresponding to the exhaust superheat, the compressor speed, and the opening degree of the indoor expansion valve.

[0140] When the indoor filter becomes clogged, the evaporation capacity decreases. Therefore, the evaporation pressure decreases, and the evaporator outlet superheat decreases. Consequently, the suction superheat decreases, and the exhaust superheat is lower than the normal average. Thus, the deviation coefficient of the exhaust superheat is negative, and the absolute value corresponding to the degree of indoor filter clogging increases. Because the suction pressure decreases, the compressor speed controlled by the suction pressure is lower than the normal average. Therefore, the deviation coefficient of the compressor speed is negative, and the absolute value corresponding to the degree of indoor filter clogging increases. Furthermore, because the gas-side superheat of the indoor heat exchanger decreases, the opening degree of the indoor expansion valve controlled by the gas-side superheat of the indoor heat exchanger is smaller than the normal average. Therefore, the deviation coefficient of the indoor expansion valve opening is negative, and the absolute value corresponding to the degree of indoor filter clogging increases.

[0141] Therefore, the formula for calculating the third refrigeration failure factor can be:

[0142] Kif1={-di(SHd)-di(Rc)-di(EXi)} / 3

[0143] Wherein, Kif1 is the clogging coefficient of the indoor filter. That is, as the indoor filter becomes increasingly contaminated, the average value of -di(SHd), -di(Rc), and -di(EXi) {-di(SHd)-di(Rc)-di(EXi)} / 3 increases, thus increasing the clogging coefficient Kif1. Therefore, the clogging coefficient Kif1 can be used to determine whether the indoor filter is clogged.

[0144] Optionally, the target operating data includes heating target operating data, which includes suction pressure, exhaust superheat, compressor speed, outdoor expansion valve opening, and indoor expansion valve opening; the fault coefficient calculation formula includes a first heating fault coefficient calculation formula, a second heating fault coefficient calculation formula, and a third heating fault coefficient calculation formula, whereby the fault coefficient includes a heating refrigerant leakage coefficient, a heating outdoor heat exchanger contamination coefficient, and a heating indoor filter clogging coefficient; the calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula, according to multiple deviation coefficients, includes:

[0145] Based on the first heating failure coefficient calculation formula, the heating refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat, the compressor speed, the outdoor expansion valve opening, and the indoor expansion valve opening, respectively.

[0146] Based on the second heating failure coefficient calculation formula, the pollution coefficient of the outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat, and the outdoor expansion valve opening.

[0147] Based on the third heating failure coefficient calculation formula, the filter blockage coefficient in the heating room is calculated according to the deviation coefficients corresponding to the compressor speed and the opening degree of the indoor expansion valve.

[0148] Corresponding to the fault detection of the air conditioner in cooling mode, a corresponding fault coefficient calculation formula can also be set in heating mode to calculate the fault coefficient in heating mode.

[0149] As an optional embodiment, the target operating data includes heating target operating data, which includes suction pressure, exhaust superheat, compressor speed, outdoor expansion valve opening, and indoor expansion valve opening. The fault coefficient calculation formula includes a first heating fault coefficient calculation formula, a second heating fault coefficient calculation formula, and a third heating fault coefficient calculation formula. The fault coefficient includes a heating refrigerant leakage coefficient, a heating outdoor heat exchanger contamination coefficient, and a heating indoor filter clogging coefficient. The calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula, according to multiple deviation coefficients, includes:

[0150] Based on the first heating failure coefficient calculation formula, the heating refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat, the compressor speed, the outdoor expansion valve opening, and the indoor expansion valve opening, respectively.

[0151] When refrigerant leakage occurs in heating mode, the refrigerant density inside the refrigerant piping decreases, resulting in lower refrigerant pressure, increased superheat for gaseous refrigerant, and decreased subcooling for liquid refrigerant. In other words, the suction pressure is lower than the normal average. Therefore, the suction pressure deviation coefficient becomes negative, and the absolute value of the refrigerant leakage increases. The suction superheat increases, and the discharge superheat exceeds the normal average. Therefore, the discharge superheat deviation coefficient is positive, and the absolute value of the refrigerant leakage increases accordingly. Because the discharge pressure is lower, the compressor speed controlled by the discharge pressure is higher than the normal average. Therefore, the compressor speed deviation coefficient becomes positive, and the absolute value of the refrigerant leakage increases accordingly. Because the outdoor heat exchanger's gas-side superheat increases, the outdoor expansion valve opening controlled by the outdoor heat exchanger's gas-side superheat is larger than the normal average. Therefore, the outdoor expansion valve opening deviation coefficient becomes positive, and the absolute value of the refrigerant leakage increases accordingly. Furthermore, because the subcooling on the liquid side of the indoor heat exchanger decreases, the opening degree of the indoor expansion valve, controlled by the subcooling on the liquid side of the indoor heat exchanger, is smaller than the normal average. Therefore, the deviation coefficient of the indoor expansion valve opening is negative, and the absolute value of the refrigerant leakage increases accordingly.

[0152] Therefore, the formula for calculating the first heating failure factor can be:

[0153] Krl2={-di(Ps)+di(SHd)+di(Rc)+di(EXo)-di(EXi)} / 5

[0154] Wherein, Krl2 is the heating refrigerant leakage coefficient, Ps is the suction pressure, SHd is the exhaust superheat, Rc is the compressor speed, EXo is the outdoor expansion valve opening, and EXi is the indoor expansion valve opening.

[0155] Therefore, as refrigerant leaks, the average value of -di(Ps), di(SHd), di(Rc), di(EXo), and -di(EXi) {-di(Ps)+di(SHd)+di(Rc)+di(EXo)-di(EXi)} / 5 increases, and the heating refrigerant leakage coefficient Krl2 increases. Therefore, the heating refrigerant leakage coefficient Krl2 can be used to determine whether refrigerant leakage has occurred under heating conditions.

[0156] Based on the second heating failure coefficient calculation formula, the pollution coefficient of the outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat, and the outdoor expansion valve opening.

[0157] Because outdoor heat exchanger contamination reduces evaporation capacity, the evaporation pressure decreases, resulting in a lower evaporator outlet superheat. This means the suction pressure is lower than the normal average. Therefore, the suction pressure deviation coefficient is negative, and the absolute value of the outdoor heat exchanger contamination level increases. Simultaneously, due to the reduced superheat at the evaporator outlet, the suction superheat is also lower than the normal average, leading to a negative exhaust superheat deviation coefficient. This again indicates a higher absolute value of the outdoor heat exchanger contamination level. Furthermore, the reduced gas-side superheat of the outdoor heat exchanger results in a smaller outdoor expansion valve opening, controlled by the gas-side superheat, compared to the normal average. Consequently, the outdoor expansion valve opening deviation coefficient is negative, and the absolute value of the refrigerant leakage level increases.

[0158] Therefore, the formula for calculating the second heating failure factor can be:

[0159] Koh2={-di(Ps)-di(SHd)-di(EXo)} / 3

[0160] Wherein, Koh2 is the contamination coefficient of the outdoor heat exchanger. As the outdoor heat exchanger becomes contaminated, the average value of -di(Ps), -di(SHd), and -di(EXo) {-di(Ps)-di(SHd)-di(EXo)} / 3 increases, and therefore the contamination coefficient Koh2 of the outdoor heat exchanger increases. Therefore, the contamination coefficient Koh2 of the outdoor heat exchanger can be used to determine whether the outdoor heat exchanger is contaminated.

[0161] Based on the third heating failure coefficient calculation formula, the filter blockage coefficient in the heating room is calculated according to the deviation coefficients corresponding to the compressor speed and the opening degree of the indoor expansion valve.

[0162] When the indoor filter becomes clogged in heating mode, the condensing capacity decreases, thus increasing the condensing pressure and reducing the condenser outlet subcooling. In other words, due to the increased discharge pressure, the compressor speed controlled by the discharge pressure is lower than the normal average. Therefore, the compressor speed deviation coefficient is negative, and the absolute value of the degree of indoor filter clogging increases. At this time, the liquid-side subcooling of the outdoor heat exchanger is also lower than the normal average. Therefore, the liquid-side subcooling deviation coefficient of the outdoor heat exchanger is negative, and the absolute value of the degree of indoor filter clogging increases.

[0163] Therefore, the formula for calculating the third heating failure factor can be:

[0164] Kif2 = {-di(Rc)-di(EXi)} / 2

[0165] Wherein, Kif2 is the clogging coefficient of the filter in the heating chamber. As the filter in the heating chamber becomes clogged, the average value of -di(Rc) and -di(EXi) {-di(Rc)-di(EXi)} / 2 increases, and the clogging coefficient Kif2 of the filter in the heating chamber also increases. Therefore, the value of the clogging coefficient Kif2 of the filter in the heating chamber can be used to determine whether the filter in the heating chamber is clogged.

[0166] Step S140 is executed to determine whether the air conditioner has malfunctioned based on the relationship between the fault coefficient and the preset fault coefficient threshold.

[0167] The preset fault coefficient threshold can be a baseline value for the fault coefficient set by the developers. After calculating each fault coefficient in cooling or heating mode, the fault coefficient is compared with its corresponding preset fault coefficient threshold. If the preset relationship is met, the air conditioner is determined not to have malfunctioned; otherwise, the air conditioner is determined to have malfunctioned according to the fault coefficient.

[0168] For example, the fault factor is the refrigerant leakage factor, which is 3, and its corresponding preset fault factor threshold is 2. The preset relationship is that if the refrigerant leakage factor is less than its corresponding preset fault factor threshold, then an air conditioner refrigerant leak is determined.

[0169] To better illustrate the solutions of the present invention, this specification also provides the following: Figure 4 The embodiments shown are used to explain the present invention.

[0170] like Figure 4 As shown, when the air conditioner starts running, it first determines whether the outer ring temperature is within the preset temperature range, and whether the ratio of the indoor unit capacity to the outdoor unit capacity is within the preset capacity range, based on the obtained outer ring temperature, indoor unit capacity, and outdoor unit capacity, thereby determining whether the preset fault detection conditions have been met.

[0171] Under the condition of meeting the preset fault detection criteria, determine whether the air conditioner is in cooling mode or heating mode.

[0172] If in cooling mode, multiple first operating data sets are acquired, and the first average value and first standard deviation of each first operating data set are calculated to obtain a statistical data set. Then, target cooling operating data, including exhaust pressure, exhaust superheat, outdoor heat exchanger liquid-side subcooling, compressor speed, and indoor expansion valve opening, are acquired, and their deviation coefficients are calculated respectively. The refrigerant leakage coefficient is calculated according to the first cooling failure coefficient calculation formula; the outdoor heat exchanger contamination coefficient is calculated according to the second cooling failure coefficient calculation formula; and the indoor filter clogging coefficient is calculated according to the third cooling failure coefficient calculation formula. Whether the air conditioner has malfunctioned is determined by comparing the preset failure coefficient threshold with the magnitude of each failure coefficient. If a malfunction is detected, a corresponding failure report is generated and sent to the control terminal or the user is notified; if no malfunction is detected, the target operating data is reacquired for fault detection.

[0173] If in heating mode, multiple second operating data sets are acquired, and the second average value and second standard deviation of each second operating data set are calculated to obtain a statistical data set. Then, target heating operating data, including suction pressure, exhaust superheat, compressor speed, outdoor expansion valve opening, and indoor expansion valve opening, are acquired, and their deviation coefficients are calculated respectively. The heating refrigerant leakage coefficient is calculated according to the first heating fault coefficient calculation formula; the outdoor heat exchanger contamination coefficient is calculated according to the second heating fault coefficient calculation formula; and the indoor filter clogging coefficient is calculated according to the third heating fault coefficient calculation formula. Whether the air conditioner has malfunctioned is determined by comparing the preset fault coefficient threshold with the magnitude of each fault coefficient. If a fault is detected, a corresponding fault report is generated and sent to the control terminal or the user is notified; if no fault is detected, the target operating data is reacquired for fault detection.

[0174] Based on the same inventive concept, such as Figure 5 As shown in the figure, an embodiment of the present invention provides an air conditioner fault detection device 300, comprising:

[0175] The target operation data acquisition unit 301 is used to acquire a set of target operation data.

[0176] The deviation coefficient calculation unit 302 is used to calculate the deviation coefficient of each target operating data based on a set of statistical data, wherein the set of statistical data includes multiple statistical data, and each statistical data corresponds to one target operating data.

[0177] The fault coefficient calculation unit 303 is used to calculate the fault coefficient of the air conditioner based on the fault coefficient calculation formula and according to multiple deviation coefficients.

[0178] The fault determination unit 304 is used to determine whether the air conditioner has malfunctioned based on the relationship between the fault coefficient and the preset fault coefficient threshold.

[0179] Regarding the aforementioned air conditioner fault detection device 300, the specific functions of each unit have been described in detail in the embodiments of the air conditioner fault detection method provided in this specification, and will not be elaborated further here.

[0180] Based on the same inventive concept, embodiments of this invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods in the aforementioned air conditioning fault detection method.

[0181] The present invention has at least the following beneficial effects:

[0182] 1. By acquiring a set of target operating data, and then calculating the deviation coefficient of each operating data point from the statistical data set corresponding to each target operating data point, the system further calculates the air conditioner's fault coefficient based on each deviation coefficient. Finally, by comparing the fault coefficient with a preset fault coefficient threshold, the system determines whether the air conditioner has malfunctioned. Since the air conditioner's installation environment is not considered, air conditioner fault detection is more accurate.

[0183] 2. By setting different fault detection coefficient calculation formulas for different air conditioner operating modes, the accuracy of fault detection is further improved.

[0184] 3. Because separate fault detection methods are set up for refrigerant leakage, outdoor heat exchanger contamination, and indoor filter blockage in heating and cooling modes, the content and scope of air conditioner fault detection are enriched.

[0185] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of the invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0186] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0187] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0188] The above description is merely a specific embodiment 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. An air conditioner fault detection method characterized by, The method includes: Acquire a set of target operating data; the target operating data includes refrigeration target operating data, which includes exhaust pressure, exhaust superheat, outdoor heat exchanger liquid-side subcooling, compressor speed, and indoor expansion valve opening. Based on the statistical data set, the deviation coefficient of each target operating data is calculated according to the deviation coefficient calculation formula. The statistical data set includes multiple statistical data points, and each statistical data point corresponds to one target operating data point. The deviation coefficient calculation formula is as follows: di(x) = (x - x ave ) / σ wherein x is the target operation data, di(x) is the divergence coefficient of the target operation data, x ave is the first average value / second average value corresponding to the target operation data in the statistical data set, and σ is the first standard deviation / second standard deviation corresponding to the target operation data in the statistical data set. Based on the fault coefficient calculation formula, the fault coefficient of the air conditioner is calculated according to multiple deviation coefficients. The fault coefficient calculation formula includes a first refrigeration fault coefficient calculation formula, a second refrigeration fault coefficient calculation formula, and a third refrigeration fault coefficient calculation formula. The fault coefficients include a refrigerant leakage coefficient, a refrigeration outdoor heat exchanger contamination coefficient, and a refrigeration indoor filter blockage coefficient. The calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula and multiple deviation coefficients includes: based on the first refrigeration fault coefficient calculation formula, calculating the refrigerant leakage coefficient according to the deviation coefficients corresponding to the exhaust pressure, the exhaust superheat, the outdoor heat exchanger liquid-side subcooling, the compressor speed, and the indoor expansion valve opening, respectively. The first refrigeration fault coefficient calculation formula is: Krl1={-di(Pd)+di(SHd)-di(SCo)-di(Rc)+di(EXi)} / 5 Based on the second refrigeration failure coefficient calculation formula, the contamination coefficient of the outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the exhaust pressure and the liquid-side subcooling of the outdoor heat exchanger, respectively; the second refrigeration failure coefficient calculation formula is: Koh1={di(Pd)-di(SCo)} / 2 Based on the aforementioned third refrigeration failure coefficient calculation formula, the filter clogging coefficient inside the refrigeration unit is calculated according to the deviation coefficients corresponding to the exhaust superheat, the compressor speed, and the opening degree of the indoor expansion valve, respectively; the third refrigeration failure coefficient calculation formula is as follows: Kif1={-di(SHd)-di(Rc)-di(EXi)} / 3 Wherein, Krl1 is the refrigerant leakage coefficient, Koh1 is the outdoor heat exchanger contamination coefficient, Kif1 is the indoor filter clogging coefficient, Pd is the exhaust pressure, SHd is the exhaust superheat, SCo is the liquid-side subcooling of the outdoor heat exchanger, Rc is the compressor speed, and EXi is the indoor expansion valve opening. Based on the relationship between the fault coefficient and the preset fault coefficient threshold, it is determined whether the air conditioner has malfunctioned.

2. The air conditioner fault detection method of claim 1, wherein, The method further includes a step of obtaining the statistical data set, which includes: The operating mode of the air conditioner is obtained, including a cooling mode and a heating mode; Based on the operating mode, when the preset fault detection condition is reached, multiple first operating data sets or multiple second operating data sets are acquired within a first preset time period, wherein the acquisition time of each two first operating data sets / second operating data sets is spaced apart by a second preset time period. The statistical data set is obtained by calculating the first average value and the first standard deviation of each first operational data included in each first operational data set, or by calculating the second average value and the second standard deviation of each second operational data included in each second operational data set.

3. The air conditioner fault detection method of claim 2, wherein, The method further includes a step of determining whether the preset fault detection condition has been met, which includes: Obtain the outer ring temperature, the indoor unit capacity of the air conditioner, and the outdoor unit capacity of the air conditioner; Determine whether the outer ring temperature is within a preset temperature range, and determine whether the ratio of the indoor unit capacity to the outdoor unit capacity is within a preset capacity range; If so, the preset fault detection condition is determined to have been met.

4. The air conditioner fault detection method of claim 2, wherein, The target operating data also includes heating target operating data, which includes suction pressure, exhaust superheat, compressor speed, outdoor expansion valve opening, and indoor expansion valve opening. The failure coefficient calculation formula includes a first heating failure coefficient calculation formula, a second heating failure coefficient calculation formula, and a third heating failure coefficient calculation formula. The failure coefficient includes the heating refrigerant leakage coefficient, the heating outdoor heat exchanger contamination coefficient, and the heating indoor filter clogging coefficient. The method for calculating the air conditioner's fault coefficient based on the fault coefficient calculation formula, according to multiple deviation coefficients, further includes: Based on the first heating failure coefficient calculation formula, the heating refrigerant leakage coefficient is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat, the compressor speed, the outdoor expansion valve opening and the indoor expansion valve opening, respectively. Based on the second heating failure coefficient calculation formula, the pollution coefficient of the heating outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the suction pressure, the exhaust superheat and the outdoor expansion valve opening, respectively. Based on the third heating failure coefficient calculation formula, the filter blockage coefficient in the heating room is calculated according to the deviation coefficients corresponding to the compressor speed and the opening degree of the indoor expansion valve.

5. The air conditioner fault detection method of claim 4, wherein, The formula for calculating the first heating failure factor is: Krl2={-di(Ps)+di(SHd)+di(Rc)+di(EXo)-di(EXi)} / 5 The second formula for calculating the heating failure factor is: Koh2={-di(Ps)-di(SHd)-di(EXo)} / 3 The formula for calculating the third heating failure factor is as follows: Kif2={-di(Rc)-di(EXi)} / 2 Wherein, Krl2 is the refrigerant leakage coefficient, Koh2 is the outdoor heat exchanger contamination coefficient, Kif2 is the indoor filter clogging coefficient, Ps is the suction pressure, SHd is the exhaust superheat, Rc is the compressor speed, EXo is the outdoor expansion valve opening, and EXi is the indoor expansion valve opening.

6. An air conditioner failure detection apparatus characterized by comprising: The air conditioning fault detection device includes: The target operation data acquisition unit is used to acquire a set of target operation data; the target operation data includes refrigeration target operation data, which includes exhaust pressure, exhaust superheat, liquid-side subcooling of the outdoor heat exchanger, compressor speed, and indoor expansion valve opening. The deviation coefficient calculation unit is used to calculate the deviation coefficient of each target operating data based on a statistical data set and according to the deviation coefficient calculation formula. The statistical data set includes multiple statistical data points, and each statistical data point corresponds to one target operating data point. The deviation coefficient calculation formula is as follows: di(x) = (x - x ave ) / σ Where x is the target operating data, and di(x) is the deviation coefficient of the target operating data. ave σ is the first average value / second average value corresponding to the target operating data in the statistical data set, and σ is the first standard deviation / second standard deviation corresponding to the target operating data in the statistical data set; The fault coefficient calculation unit is used to calculate the air conditioner's fault coefficient based on a fault coefficient calculation formula and according to multiple deviation coefficients. The fault coefficient calculation formula includes a first refrigeration fault coefficient calculation formula, a second refrigeration fault coefficient calculation formula, and a third refrigeration fault coefficient calculation formula. The fault coefficients include a refrigerant leakage coefficient, a refrigeration outdoor heat exchanger contamination coefficient, and a refrigeration indoor filter blockage coefficient. The calculation of the air conditioner's fault coefficient based on the fault coefficient calculation formula and according to multiple deviation coefficients includes: based on the first refrigeration fault coefficient calculation formula, calculating the refrigerant leakage coefficient according to the deviation coefficients corresponding to the exhaust pressure, the exhaust superheat, the outdoor heat exchanger liquid-side subcooling, the compressor speed, and the indoor expansion valve opening, respectively. The first refrigeration fault coefficient calculation formula is: Krl1={-di(Pd)+di(SHd)-di(SCo)-di(Rc)+di(EXi)} / 5 Based on the second refrigeration failure coefficient calculation formula, the contamination coefficient of the outdoor heat exchanger is calculated according to the deviation coefficients corresponding to the exhaust pressure and the liquid-side subcooling of the outdoor heat exchanger, respectively; the second refrigeration failure coefficient calculation formula is: Koh1={di(Pd)-di(SCo)} / 2 Based on the aforementioned third refrigeration failure coefficient calculation formula, the filter clogging coefficient inside the refrigeration unit is calculated according to the deviation coefficients corresponding to the exhaust superheat, the compressor speed, and the opening degree of the indoor expansion valve, respectively; the third refrigeration failure coefficient calculation formula is as follows: Kif1={-di(SHd)-di(Rc)-di(EXi)} / 3 Wherein, Krl1 is the refrigerant leakage coefficient, Koh1 is the outdoor heat exchanger contamination coefficient, Kif1 is the indoor filter clogging coefficient, Pd is the exhaust pressure, SHd is the exhaust superheat, SCo is the liquid-side subcooling of the outdoor heat exchanger, Rc is the compressor speed, and EXi is the indoor expansion valve opening. The fault determination unit is used to determine whether the air conditioner has malfunctioned based on the relationship between the fault coefficient and the preset fault coefficient threshold.

7. An air conditioner characterized by comprising: The air conditioner performs the steps of the air conditioner fault detection method according to any one of claims 1 to 5 when it is running.

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