Air conditioner fault sorting method and system and air conditioner
By acquiring the quaternion data of air conditioning equipment, calculating the fault weight data, and sorting them, the problem of inaccurate sorting of air conditioning equipment faults in the existing technology is solved, and efficient fault equipment location and sorting is achieved.
Patent Information
- Application Number
- CN202410967167.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-18
- Publication Date
- 2026-01-20
AI Technical Summary
Existing technologies cannot accurately sort air conditioning equipment faults, resulting in low efficiency in searching and locating faulty equipment.
By acquiring the quadruple data of each device within N days from the current time, the fault weight data is calculated, and the devices are sorted from largest to smallest according to the sum of the fault weight data. The fault coefficient corresponding to the fault type, the duration of the fault, the time from the fault reporting time to the current time, and the number of fault occurrences are used for precise sorting.
It enables precise sorting of air conditioning equipment, quickly locates equipment with high failure rates, shortens user search time, and improves sorting accuracy.
Smart Images
Figure CN121363781A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of refrigeration technology, in particular to an air conditioner fault sorting method, an air conditioner fault sorting system and an air conditioner. BACKGROUND
[0002] At present, with the development of economy and the improvement of people's life, central air conditioners are becoming more and more popular from commercial to household. Multi-split, even dozens or hundreds of indoor units in a project are common. In the daily operation of the equipment, equipment failure is inevitable. How to accurately investigate the equipment failure frequency and type of hundreds of equipment and locate the equipment cause is a difficult problem.
[0003] The current solution is to perform simple retrieval and sorting based on the basic properties of the equipment such as fault type, fault time, equipment area, etc. However, it is difficult to accurately locate the fault equipment information that needs to be handled first. SUMMARY
[0004] The present application provides an air conditioner fault sorting method, which solves the technical problem of no accurate sorting of fault equipment in the prior art.
[0005] To achieve the above purpose, the present application adopts the following technical solutions:
[0006] The present application provides an air conditioner fault sorting method, which includes:
[0007] Obtain the four-tuple data of each equipment within N days from the current time, the four-tuple data including a fault coefficient T corresponding to a fault type, a fault duration L, a time length D of the fault reporting time from the current time, and a fault occurrence frequency C;
[0008] Calculate the fault weight data w of each equipment per day according to the four-tuple data;
[0009] Calculate the sum of the fault weight data of each equipment in N days;
[0010] Sort the multiple equipment according to the sum of the fault weight data from large to small.
[0011] In some embodiments of the present application, the calculation formula of the fault weight data w of each equipment per day is as follows:
[0012]
[0013] Wherein, k1, k2, k3 are constants greater than 0, k1 < 1, k2 > 1, and k3 < 1.
[0014] In some embodiments of the present application, the air conditioner fault sorting method further includes:
[0015] A preset correspondence between the fault type and the fault coefficient is provided.
[0016] According to the fault type, the corresponding fault coefficient is obtained by querying the correspondence.
[0017] In some embodiments of the present application, the air conditioner fault sorting method further comprises:
[0018] The fault types are divided into multiple levels; the fault coefficients corresponding to the fault types of the same level are the same; and the fault coefficients corresponding to the fault types of different levels are different.
[0019] A preset correspondence between the fault type, the level and the fault coefficient is provided.
[0020] According to the fault type, the corresponding fault coefficient is obtained by querying the correspondence.
[0021] The present application provides an air conditioner fault sorting system, comprising:
[0022] An acquisition module is configured to acquire four-tuple data of each device in each day within N days from the current time, wherein the four-tuple data comprises a fault coefficient T corresponding to a fault type, a fault duration L, a time length D between a fault reporting time and the current time, and a fault occurrence frequency C.
[0023] A first calculation module is configured to calculate a fault weight data w of each device in each day according to the four-tuple data.
[0024] A second calculation module is configured to calculate a sum of the fault weight data of each device in N days.
[0025] A sorting module is configured to sort multiple devices according to the sum of the fault weight data from large to small.
[0026] In some embodiments of the present application, the calculation formula of the fault weight data w of each device in each day is as follows:
[0027]
[0028] wherein k1, k2 and k3 are constants greater than 0, k1 < 1, k2 > 1 and k3 < 1.
[0029] In some embodiments of the present application, the air conditioner fault sorting system further comprises a preset module configured to preset a correspondence between the fault type and the fault coefficient.
[0030] The acquisition module is further configured to obtain the corresponding fault coefficient by querying the correspondence according to the fault type.
[0031] In some embodiments of the present application, the air conditioner fault sorting system further comprises a preset module configured to divide the fault types into multiple levels; the fault types of the same level correspond to the same fault coefficient; the fault types of different levels correspond to different fault coefficients; and a preset fault type-level-fault coefficient correspondence is provided.
[0032] The acquisition module is further configured to query the correspondence according to the fault type and obtain the corresponding fault coefficient.
[0033] The present application provides an air conditioner, comprising:
[0034] A control module configured to execute the air conditioner fault sorting method.
[0035] In some embodiments of the present application, the control module is further configured to send the sorted device list to a smart terminal.
[0036] The technical solution of the present application has the following technical effects compared with the prior art: the air conditioner fault sorting method, the air conditioner fault sorting system and the air conditioner of the present application acquire the four-tuple data of each device within N days from the current time, the four-tuple data including the fault coefficient corresponding to the fault type, the fault duration L, the time length D of the fault reporting time from the current time, and the fault occurrence frequency C; the fault weight data of each device each day is calculated according to the four-tuple data; the sum of the fault weight data of each device for N days is calculated; the multiple devices are sorted according to the sum of the fault weight data from large to small; the device with the largest sum of the fault weight data is placed at the front, which is convenient for user query. The air conditioner fault sorting method, the air conditioner fault sorting system and the air conditioner of the present application can comprehensively represent the fault rate of all faults of the device for N days, therefore, the multiple devices of the air conditioner are sorted according to the sum of the fault weight data from large to small, which can realize accurate sorting and solve the technical problem of no accurate sorting of the fault device in the prior art.
[0037] Other features and advantages of the present application will become more apparent after reading the specific embodiments of the present application in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS
[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0039] Figure 1 Flowchart of an embodiment of the air conditioner fault sorting method of the present application Figure Two
[0040] Figure 2 Flowchart of another embodiment of the air conditioner fault sorting method of the present application Figure Two
[0041] Figure 3 Flowchart of another embodiment of the air conditioner fault sorting method of the present application Figure Two
[0042] Figure 4 Flowchart of another embodiment of the air conditioner fault sorting method of the present application Figure Two
[0043] Figure 5 Structural block of an embodiment of the air conditioner fault sorting system of the present application Figure Two
[0044] Figure 6 Structural block of another embodiment of the air conditioner fault sorting system of the present application Figure Two
[0045] Figure 7 Structural block of another embodiment of the air conditioner of the present application Figure Two
[0046] Figure 8 Structural block of the air conditioner communicating with the intelligent terminal of the present application Figure Two
[0047] Figure 9 Structural block of an embodiment of the control module of the present application Figure Two
[0048] Figure 10 Structural block of another embodiment of the control module of the present application. DETAILED DESCRIPTION
[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.
[0050] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "lateral" and "longitudinal" refer to the terms used in the drawings, and indicate their relative positions.
[0051] "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom",
[0052] The positional or directional relationships indicated by the terms "inner" and "outer" and the like are based on the positional or directional relationships shown in the drawings, and are merely used for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the indicated device or element must have a particular position, be constructed and operated in a particular direction, and therefore cannot be understood as limiting the present application.
[0053] The terms "first", "second", etc. are used only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.
[0054] In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, can be fixed connection, can also be detachable connection, or integrally connected; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0055] In the present application, unless otherwise explicitly specified and limited, the first feature is in the second feature
[0056] "on" or "under" can include that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, the first feature "on", "above" and "over" the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature "under", "below" and "under" the second feature includes that the first feature is directly below and obliquely below the second feature, or only indicates that the horizontal height of the first feature is less than that of the second feature.
[0057] The following disclosure provides many different embodiments or examples for implementing different structures of the present application. In order to simplify the disclosure of the present application, the components and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present application. In addition, the present application can repeatedly refer to numbers and / or letters in different examples, and such repetition is for the purpose of simplification and clarity, which itself does not indicate the relationship between the various embodiments and / or settings discussed. In addition, the present application provides examples of various specific processes and materials, but those skilled in the art can realize the application of other processes and / or the use of other materials.
[0058] An air conditioner performs a refrigeration cycle and a heating cycle of the air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator, and controls a flow direction of a refrigerant and an opening degree of the expansion valve, etc. by a controller. The refrigeration cycle and the heating cycle include a series of processes involving compression, condensation, expansion, and evaporation, and supply the refrigerant to air that has been adjusted and heat-exchanged.
[0059] The compressor compresses a refrigerant gas in a high-temperature and high-pressure state and discharges the compressed refrigerant 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.
[0060] The expansion valve expands the liquid-phase refrigerant condensed in the condenser into a low-pressure liquid phase. The evaporator evaporates the refrigerant expanded in the expansion valve and returns the refrigerant gas in a low-temperature and low-pressure state to the compressor. The evaporator can achieve a refrigeration effect by heat-exchanging with a material to be cooled using latent heat of evaporation of the refrigerant. Throughout the cycle, the air conditioner can adjust the temperature of an indoor space.
[0061] An air conditioner outdoor unit refers to a portion of the refrigeration cycle including the compressor and an outdoor heat exchanger, and an air conditioner indoor unit includes an indoor heat exchanger, and the expansion valve can be provided in the air conditioner outdoor unit or the indoor unit.
[0062] The indoor heat exchanger and the outdoor heat exchanger are used as a condenser or an evaporator. When the indoor heat exchanger is used as a condenser, the air conditioner functions as a heater in a heating mode, and when the indoor heat exchanger is used as an evaporator, the air conditioner functions as a cooler in a cooling mode.
[0063] In view of the technical problem in the prior art that there is no accurate ranking of faulty equipment, the present application provides an air conditioner fault ranking method, an air conditioner fault ranking system and an air conditioner, which accurately rank the faulty equipment based on the fault coefficient corresponding to the fault type, the fault duration, the time length from the fault reporting time to the current time, and the number of fault occurrences, so that the user can know the equipment with high fault rate, the user's search time can be greatly shortened, and the accuracy can be improved. In the following, the air conditioner fault ranking method, the air conditioner fault ranking system and the air conditioner of the present application will be described in detail with reference to the accompanying drawings.
[0064] The air conditioner fault ranking method of the present embodiment mainly includes the following steps, which are shown in Figure 1
[0065] Set the number of fault statistics days N. The data of N days ago does not have the value of statistical equipment fault. According to the daily fault query demand, set N = 30 days.
[0066] Obtain the equipment failure record within N days from the current time node. The failure record includes the failure coefficient corresponding to the failure type of each device, the failure duration, the time length from the failure report time to the current time, the failure occurrence frequency, etc.
[0067] The device in this embodiment refers to an indoor unit device or an outdoor unit device.
[0068] Step S11: Obtain the four-tuple data of each device within N days from the current time. The four-tuple data includes the failure coefficient T corresponding to the failure type, the failure duration L, the time length D from the failure report time to the current time, and the failure occurrence frequency C.
[0069] Therefore, in this step, the failure coefficient T corresponding to the failure type, the failure duration L, the time length D from the failure report time to the current time, and the failure occurrence frequency C of each device within N days from the current time are obtained.
[0070] Step S12: Calculate the daily failure weight data w of each device according to the four-tuple data.
[0071] In some embodiments of the present application, the calculation formula of the daily failure weight data w of each device is as follows:
[0072]
[0073] Wherein, k1, k2, k3 are constants greater than 0, k1 < 1, k2 > 1, and k3 < 1.
[0074] T is the failure coefficient corresponding to the failure type. T is taken as a linear coefficient. The failure coefficient is taken as a weighting coefficient for deduction in the present application.
[0075] C is the failure occurrence frequency, i.e., the number of daily failure reports, unit: times. The daily failure occurrence frequency and the failure rate are in a non-linear positive proportional relationship. The logarithmic ratio function method is used for deduction in the present application.
[0076] L is the failure duration, i.e., the failure repair time-failure report time, unit: hours. The failure duration and the failure rate are in a non-linear positive proportional relationship. The exponential function method with an index > 1 is used for deduction in the present application.
[0077] D is the time length from the failure report time to the current time, i.e., the number of days (unit: days) from the failure report time to the current time. With the increase of time, the effectiveness of this parameter gradually weakens, and it is in a non-linear inverse proportional relationship with the failure rate. The exponential function method with an index < 1 is used for deduction in the present application.
[0078] By designing the above formula, the fault type corresponding fault coefficient T, the fault occurrence frequency C, the fault duration L, and the time length D of the fault report time from the current time are comprehensively considered, which can accurately and comprehensively represent the fault weight data w, and the more accurate fault weight data w is calculated.
[0079] Suppose k1=0.7, k2=1.01, and k3=0.9, then the calculation formula of the fault weight data w is:
[0080]
[0081] Step S13: Calculate the sum σ of the N-day fault weight data of each device.
[0082] The N-day fault weight data of each device is accumulated to obtain the sum σ of the N-day fault weight data of each device.
[0083] The calculation formula of σ is:
[0084]
[0085] Suppose k1=0.7, k2=1.01, and k3=0.9, N=30, then the calculation formula of the sum σ of the 30-day fault weight data of each device is:
[0086]
[0087] Step S14: Sort multiple devices according to the sum of fault weight data from large to small.
[0088] The fault weight data can comprehensively represent the fault rate of a fault of a device. The sum of N-day fault weight data can comprehensively represent the fault rate of all faults of a device in N days. Therefore, the multiple devices of the air conditioner are sorted according to the sum of fault weight data from large to small, and the precise sorting of the fault devices is realized.
[0089] After calculating the sum of N-day fault weight data of each device, the multiple devices are sorted according to the sum of fault weight data from large to small.
[0090] The smaller the sum of fault weight data, the lower the fault rate of the device. The larger the sum of fault weight data, the higher the fault rate of the device. The devices with high fault rate are placed in front, which is convenient for users to understand.
[0091] The air conditioner fault sorting method of the embodiment obtains the four-tuple data of each device within N days from the current time, the four-tuple data including a fault coefficient corresponding to a fault type, a fault duration L, a time length D of a fault reporting time from the current time, and a fault occurrence number C; calculates the fault weight data of each device per day according to the four-tuple data; calculates the sum of the fault weight data of each device in N days; sorts the multiple devices according to the sum of the fault weight data from large to small; and places the device with the largest sum of the fault weight data at the front, facilitating user query. The air conditioner fault sorting method of the embodiment can comprehensively represent the fault rate of all faults of the device in N days through the sum of the fault weight data in N days, and therefore, sorting the multiple devices of the air conditioner according to the sum of the fault weight data from large to small can achieve accurate sorting and solve the technical problem of no accurate sorting of fault devices in the prior art.
[0092] In some embodiments of the present application, the air conditioner fault sorting method further includes the following steps, as shown in Figure 2
[0093] Step S21: presetting a corresponding relationship between a fault type and a fault coefficient.
[0094] Step S22: querying the corresponding relationship according to the fault type to obtain the corresponding fault coefficient.
[0095] In the embodiment, the corresponding relationship between the fault type and the fault coefficient is a corresponding table, and the fault coefficient corresponding to the fault type is directly obtained through table lookup.
[0096] Through the design of steps S21-S23, the fault coefficient corresponding to the fault type is facilitated to be queried, and the process is simple, convenient and fast.
[0097] In some other embodiments of the present application, the air conditioner fault sorting method further includes the following steps, as shown in Figure 3
[0098] Step S31: dividing the fault type into multiple levels; the fault coefficients corresponding to the fault types of the same level are the same; and the fault coefficients corresponding to the fault types of different levels are different.
[0099] Step S32: presetting a corresponding relationship between the fault type, the level, and the fault coefficient.
[0100] Step S33: querying the corresponding relationship according to the fault type to obtain the corresponding fault coefficient.
[0101] In the embodiment, the corresponding relationship between the fault type, the level, and the fault coefficient is a corresponding table, and the fault coefficient corresponding to the fault type is directly obtained through table lookup.
[0102] By designing steps S31-S33, the fault type corresponding to the fault coefficient is facilitated to be inquired, simple, convenient and fast.
[0103] Different levels of fault types correspond to different fault coefficients, which can improve the accuracy of the fault weight data w.
[0104] In some embodiments of the application, the fault types are divided into four levels: fatal fault, serious fault, general fault, and slight fault.
[0105] The fault coefficients corresponding to the four levels are arranged from large to small as follows: the fault coefficient corresponding to the fatal fault, the fault coefficient corresponding to the fatal fault, the fault coefficient corresponding to the general fault, and the fault coefficient corresponding to the slight fault.
[0106] The levels of some common fault types of the air conditioner are divided.
[0107] The fatal fault includes: control board voltage anomaly, compressor current anomaly, etc. Due to the control board voltage anomaly and the compressor current anomaly, the normal operation of the outdoor unit or the indoor unit is directly affected, therefore, such faults are regarded as fatal faults, and the corresponding fault coefficient is the largest, so as to increase the size of the fault weight data w. For example, the fault coefficient corresponding to the fatal fault = 8.
[0108] The serious fault includes: outdoor unit communication anomaly. The outdoor unit communication anomaly belongs to a serious fault, which seriously affects the normal operation of the outdoor unit. For example, the fault coefficient corresponding to the serious fault = 4.
[0109] The general fault includes: temperature sensor anomaly, pressure sensor anomaly, etc. The temperature sensor anomaly and the pressure sensor anomaly belong to a general fault, and the air conditioner can operate, but the refrigeration and heating effects are affected. For example, the fault coefficient corresponding to the general fault = 2.
[0110] The slight fault includes: indoor fan drive alarm, overload operation protection, etc. The indoor fan drive alarm and the overload operation protection belong to a slight fault, and the air conditioner can operate, but the refrigeration and heating effects are affected. For example, the fault coefficient corresponding to the slight fault = 1.
[0111] Since the fault types have primary and secondary, the non-core faults can be ignored, the core faults are classified and normalized, and the classified fault types are set with weights, which are regarded as nonlinear coefficients. According to the daily fault inquiry requirements, four levels of fatal fault, serious fault, general fault, and slight fault are set.
[0112] The air conditioner fault sorting method of the application obtains the fault coefficient corresponding to the fault type, the single-day fault occurrence number, the single fault duration, and the time length of the fault report time from the current time node to the device fault record occurring before the preset days (N days) from the current time node, establishes the four-tuple data for the daily fault record of each device, calculates the daily fault weight data of each device according to the four-tuple data, accumulates and sums the N-day fault weight data of each device, and then sorts, which can sort the multiple fault devices of the air conditioner in real time according to the fault type, the fault occurrence number, the fault duration, and the time length of the fault report time from the current time, arranges the high-fault-rate device that the user wants to know most in front of the list, greatly shortens the user search time, and improves the accuracy.
[0113] Next, the steps of the air conditioner fault sorting method will be specifically described in combination with Figure 4 .
[0114] Step S41: Obtain the device fault record within N days from the current time node according to the preset statistical days N.
[0115] Step S42: Obtain the fault coefficient T corresponding to the fault type of each device within N days from the current time, the fault occurrence (report) number C (unit: times), the fault duration L (unit: hours), and the time length D (unit: days) of the fault report time from the current time.
[0116] The fault occurrence number C and the fault rate have a non-linear positive proportional relationship.
[0117] The fault duration L and the fault rate have a non-linear positive proportional relationship.
[0118] The time length D of the fault report time from the current time and the fault rate have a non-linear inverse proportional relationship.
[0119] Step S43: Calculate the single-day fault weight data of each device according to the four-tuple data.
[0120] Step S44: Calculate the sum of the N-day fault weight data of a single device, and sort multiple devices according to the sum of the fault weight data from large to small.
[0121] Based on the design of the above air conditioner fault sorting method, the embodiment further proposes an air conditioner fault sorting system, which includes an acquisition module, a first calculation module, a second calculation module, a sorting module, and the like, as shown in Figure 5 .
[0122] The acquisition module is configured to acquire, for each device, quadruple data of each day within N days from the current time, the quadruple data comprising a fault coefficient T corresponding to a fault type, a fault duration L, a time length D from the fault reporting time to the current time, and a fault occurrence number C.
[0123] The first calculation module is configured to calculate, according to the quadruple data, a fault weight data w of each day of each device.
[0124] The second calculation module is configured to calculate a sum of the fault weight data of N days of each device.
[0125] The sorting module is configured to sort the plurality of devices according to the sum of the fault weight data from large to small.
[0126] In some embodiments of the present application, the calculation formula of the fault weight data w of each day of each device is as follows:
[0127]
[0128] wherein k1, k2 and k3 are constants greater than 0, k1 < 1, k2 > 1, and k3 < 1.
[0129] In some embodiments of the present application, the air conditioner fault sorting system further comprises a preset module configured to preset a corresponding relationship between the fault types and the fault coefficients, as shown in Figure 6
[0130] The acquisition module is further configured to query the corresponding relationship according to the fault type, and obtain the corresponding fault coefficient.
[0131] In yet some embodiments of the present application, the air conditioner fault sorting system further comprises a preset module configured to divide the fault types into a plurality of levels; the fault coefficients corresponding to the fault types of the same level are the same; the fault coefficients corresponding to the fault types of different levels are different; and a corresponding relationship between the fault types, the levels and the fault coefficients is preset.
[0132] The acquisition module is further configured to query the corresponding relationship according to the fault type, and obtain the corresponding fault coefficient.
[0133] The working process of the specific air conditioner fault sorting system has been described in detail in the above air conditioner fault sorting method, and will not be repeated here.
[0134] The air conditioner fault sorting system of the embodiment obtains the four tuple data of each device within N days from the current time, the four tuple data including a fault coefficient corresponding to a fault type, a fault duration L, a time length D of a fault report time from the current time, and a fault occurrence number C; calculates the fault weight data of each device per day according to the four tuple data; calculates the sum of the fault weight data of each device in N days; sorts the multiple devices according to the sum of the fault weight data from large to small; and places the device with the largest sum of the fault weight data at the forefront, facilitating user query. The air conditioner fault sorting system of the embodiment can comprehensively represent the fault rate of all faults of the device in N days through the sum of the fault weight data in N days, and therefore, sorting the multiple devices of the air conditioner according to the sum of the fault weight data from large to small can achieve accurate sorting and solve the technical problem of no accurate sorting of fault devices in the prior art.
[0135] Based on the design of the above air conditioner fault sorting method, the embodiment further proposes an air conditioner including a plurality of outdoor unit devices, a plurality of indoor unit devices, a control module, and the like, as shown in Figure 7 .
[0136] Each outdoor unit device is connected to a corresponding plurality of indoor unit devices to form a refrigerant circulation.
[0137] The control module controls the operation of the entire air conditioner.
[0138] The control module is configured to perform the air conditioner fault sorting method.
[0139] Therefore, the control module is configured to: obtain the four tuple data of each indoor unit device within N days from the current time, the four tuple data including a fault coefficient T corresponding to a fault type, a fault duration L, a time length D of a fault report time from the current time, and a fault occurrence number C; calculate the fault weight data w of each indoor unit device per day according to the four tuple data; calculate the sum of the fault weight data of each indoor unit device in N days; and sort the multiple indoor unit devices according to the sum of the fault weight data from large to small.
[0140] When the air conditioner includes a plurality of outdoor unit devices, the control module is further configured to: obtain the four tuple data of each outdoor unit device within N days from the current time, the four tuple data including a fault coefficient T corresponding to a fault type, a fault duration L, a time length D of a fault report time from the current time, and a fault occurrence number C; calculate the fault weight data w of each outdoor unit device per day according to the four tuple data; calculate the sum of the fault weight data of each outdoor unit device in N days; and sort the multiple outdoor unit devices according to the sum of the fault weight data from large to small.
[0141] The air conditioner of the embodiment sorts the multiple indoor unit devices / multiple outdoor unit devices according to the sum of the fault weight data from large to small, can realize accurate sorting, and solves the technical problem that the fault devices are not accurately sorted in the prior art.
[0142] In some embodiments of the application, the control module is further configured to send the sorted device list to the intelligent terminal to facilitate user viewing.
[0143] The control module sorts the multiple indoor units / multiple outdoor units, generates a device list, and sends the generated device list to the intelligent terminal.
[0144] For example, as shown in Figure 8 The control module communicates with the intelligent terminal through the cloud platform.
[0145] The control module sends the sorted indoor unit device list to the intelligent terminal through the cloud platform.
[0146] The control module sends the sorted outdoor unit device list to the intelligent terminal through the cloud platform.
[0147] The control module is deployed in the control module, and sorts the multiple indoor unit devices / multiple outdoor unit devices according to the sum of the fault weight data from large to small.
[0148] In some embodiments of the application, the control module includes an acquisition module, a first calculation module, a second calculation module, a sorting module, etc., as shown in Figure 9
[0149] In some embodiments of the application, the control module further includes a preset module for presetting the correspondence between the fault types and the fault coefficients, as shown in Figure 10
[0150] In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.
[0151] The above is only a specific implementation of the application, but the protection scope of the application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.
Claims
1. An air conditioner fault sequencing method, characterized in that, include: Obtain the daily quadruple data for each device within N days from the current time. The quadruple data includes the fault coefficient T corresponding to the fault type, the fault duration L, the time length D from the fault reporting time to the current time, and the number of fault occurrences C. Calculate the daily fault weight data w for each device based on the aforementioned quadruple data; Calculate the sum of fault weight data for each device over N days; Sort multiple devices in descending order of the sum of their fault weight data.
2. The air conditioner fault sequencing method according to claim 1, characterized in that: The formula for calculating the daily fault weight data w for each device is as follows: Where k1, k2, and k3 are constants greater than 0, k1<1, k2>1, and k3<1.
3. The air conditioner fault sequencing method according to claim 1, characterized in that: The air conditioner fault sequencing method also includes: Preset the correspondence between fault types and fault coefficients; Based on the fault type, query the corresponding relationship to obtain the corresponding fault coefficient.
4. The air conditioner fault sequencing method according to claim 1, characterized in that: The air conditioner fault sequencing method also includes: Fault types are divided into multiple levels; fault types of the same level have the same fault coefficient; fault types of different levels have different fault coefficients. Preset the correspondence between fault type, level, and fault coefficient; Based on the fault type, query the corresponding relationship to obtain the corresponding fault coefficient.
5. An air conditioning fault sequencing system, characterized in that, include: The acquisition module is used to acquire the daily quadruple data of each device within N days from the current time. The quadruple data includes the fault coefficient T corresponding to the fault type, the fault duration L, the time length D from the fault reporting time to the current time, and the number of fault occurrences C. The first calculation module is used to calculate the daily fault weight data w for each device based on the quadruple data; The second calculation module is used to calculate the sum of the fault weight data for each device over N days; the sorting module is used to sort multiple devices in descending order of the sum of their fault weight data.
6. The air conditioning fault sequencing system according to claim 5, characterized in that: The formula for calculating the daily fault weight data w for each device is as follows: Where k1, k2, and k3 are constants greater than 0, k1<1, k2>1, and k3<1.
7. The air conditioning fault sequencing system according to claim 5, characterized in that: The air conditioning fault sequencing system also includes a preset module for presetting the correspondence between fault types and fault coefficients; The acquisition module is also used to query the corresponding relationship according to the fault type to obtain the corresponding fault coefficient.
8. The air conditioning fault sequencing system according to claim 5, characterized in that: The air conditioning fault sorting system also includes a preset module for classifying fault types into multiple levels; fault types of the same level have the same fault coefficient; fault types of different levels have different fault coefficients. Preset the correspondence between fault type, level, and fault coefficient; The acquisition module is also used to query the corresponding relationship according to the fault type to obtain the corresponding fault coefficient.
9. An air conditioner, characterized in that, include: A control module configured to perform the air conditioning fault sequencing method as described in any one of claims 1 to 4.
10. The air conditioner according to claim 9, characterized in that: The control module is also used to send the sorted list of devices to the smart terminal.