Air conditioner fault detection method, device, air conditioner and electronic equipment

Abstract

The present invention provides an air conditioner fault detection method, device, air conditioner, and electronic device. The method comprises: obtaining multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple operating spectrum data groups when the air conditioner outdoor unit is in an operating state; comparing the multiple shutdown spectrum data groups with the multiple operating spectrum data to obtain a target comparison spectrum data group; sending the target comparison spectrum data group to the air conditioner cloud, performing matching analysis on each target comparison spectrum data group through the air conditioner cloud, and outputting the analysis results; and determining whether there is an abnormality in the air conditioner operating system based on the analysis results and providing a user with a prompt. By obtaining the target comparison spectrum data group, the present invention can use the target comparison spectrum data group to eliminate other factors that affect the air conditioner operating frequency and sound pressure level. Then, analysis and processing are performed through the cloud, enabling more accurate detection of air conditioner fault information and timely notification to the user, thereby improving the efficiency of air conditioner fault detection.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent air conditioners, and in particular to an air conditioner fault detection method and device, an air conditioner, and an electronic device. Background Art

[0002] In people's daily work and life, air conditioners provide people with convenient services such as cooling, heating, and dehumidification. However, the detection of air conditioner failures is not smart enough, and the air conditioner's action after detection is not perfect.

[0003] Therefore, how to improve the fault detection efficiency of air conditioners and promptly remind users when air conditioners fail is a technical problem that urgently needs to be solved. Summary of the Invention

[0004] The present invention provides an air conditioner fault detection method, device, air conditioner and electronic equipment, which are used to solve the defect that the detection of air conditioner faults in the existing technology is not intelligent enough, thereby improving the fault detection efficiency of the air conditioner and promptly reminding the user when the air conditioner fails.

[0005] The present invention provides an air conditioner fault detection method, comprising:

[0006] Acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple running spectrum data groups in a running state;

[0007] Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0008] Sending the target comparison spectrum data group to the air conditioning cloud, performing matching analysis on the target comparison spectrum data group through the air conditioning cloud, and outputting the analysis results;

[0009] Based on the analysis result, it is determined whether there is an abnormality in the air-conditioning operation system and a prompt is given to the user.

[0010] According to an air conditioner fault detection method provided by the present invention, the step of obtaining multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state and multiple running spectrum data groups in a running state includes:

[0011] Collecting first outdoor temperature, first indoor temperature and first user setting data of the air conditioner outdoor unit under different conditions when the air conditioner outdoor unit is in a stopped state;

[0012] collecting a second outdoor temperature, a second indoor temperature, and second user setting data of the air conditioner outdoor unit under different operating conditions;

[0013] The operating spectrum data group includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency;

[0014] A plurality of shutdown spectrum data groups are obtained based on the first outdoor temperature, the first indoor temperature and the first user setting data under different conditions, and a plurality of operating spectrum data groups are obtained based on the second outdoor temperature, the second indoor temperature and the second user setting data under different conditions.

[0015] According to an air conditioner fault detection method provided by the present invention, the plurality of shutdown spectrum data groups and the plurality of operating spectrum data groups are compared to obtain a target comparison spectrum data group, including:

[0016] Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the running spectrum data groups, a matching comparison is performed with the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups to obtain a plurality of comparison spectrum data groups;

[0017] A target operating spectrum data group is selected from multiple operating spectrum data groups, and based on the second outdoor temperature, the second indoor temperature and the second user setting data of the target operating spectrum data group, a target comparison spectrum data group corresponding to the target operating spectrum data group is confirmed in the multiple comparison spectrum data groups.

[0018] According to an air conditioner fault detection method provided by the present invention, the matching analysis of the target comparison spectrum data group is performed by the air conditioner cloud and the analysis result is output, including:

[0019] Matching and analyzing the target comparison spectrum data group with a preset standard spectrum group through the air conditioning cloud;

[0020] Acquire a reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group;

[0021] The reference outdoor temperature, reference indoor temperature and reference user setting data of the reference spectrum data group correspond one-to-one to the second outdoor temperature, second indoor temperature and second user setting data of the target comparison spectrum data group;

[0022] The difference data between the sound pressure level of the target comparison spectrum data group corresponding to the operating frequency and the sound pressure level of the reference spectrum data group corresponding to the operating frequency is obtained, and the difference data is output as an analysis result.

[0023] According to an air conditioner fault detection method provided by the present invention, determining whether there is an abnormality in the air conditioner operating system based on the analysis result and prompting the user includes:

[0024] Matching the operating frequency of the target comparison spectrum data group with a preset abnormality determination data group, and performing abnormality determination on the air-conditioning operation system based on the difference data;

[0025] When the difference data is greater than the first target preset threshold, or the difference data is less than the second target preset threshold, the air-conditioning operation system is confirmed to be abnormal and a user is prompted to confirm that the fan module or compressor module of the air-conditioning operation system is abnormal based on the operating frequency.

[0026] According to an air conditioner fault detection method provided by the present invention, after matching the operating frequency of the target comparison spectrum data group with a preset abnormality determination data group and performing an abnormality determination on the air conditioner operating system based on the difference data, the method further includes:

[0027] When it is confirmed that the difference data is less than or equal to the first target preset threshold and the difference data is greater than or equal to the second target preset threshold, it is confirmed that the air conditioning operation system is normal.

[0028] The present invention also provides an air conditioner fault detection device, comprising:

[0029] An acquisition unit, configured to acquire a plurality of stop frequency spectrum data groups of the air conditioner outdoor unit in a stop state, and a plurality of running frequency spectrum data groups of the air conditioner outdoor unit in a running state;

[0030] a comparing unit, configured to compare the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0031] a matching unit, configured to send the target comparison spectrum data group to the air conditioning cloud, perform matching analysis on the target comparison spectrum data group through the air conditioning cloud, and output an analysis result;

[0032] The determination unit is used to determine whether there is an abnormality in the air-conditioning operation system based on the analysis result and to prompt the user.

[0033] The present invention also provides an air conditioner, comprising an indoor unit, an outdoor unit, and a processor and a memory arranged in the indoor unit or the outdoor unit; and also comprising a program or instruction stored on the memory and executable on the processor, wherein when the program or instruction is executed by the processor, any of the above-mentioned air conditioner fault detection methods is executed.

[0034] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-described air conditioning fault detection methods is implemented.

[0035] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described air conditioning fault detection methods.

[0036] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned air-conditioning fault detection methods.

[0037] The air conditioner fault detection method, device, air conditioner, and electronic device provided by the present invention obtain multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state, as well as multiple operating spectrum data groups in the operating state, and then compare the multiple shutdown spectrum data groups with the multiple operating spectrum data to obtain a target comparison spectrum data group. Each target comparison spectrum data group is further matched and analyzed through the air conditioner cloud, and the analysis results are output. Finally, based on the analysis results, it is determined whether there is an abnormality in the air conditioner operating system and a user is prompted. By obtaining the target comparison spectrum data group, the present invention obtains the spectrum data group of the shutdown state that matches the air conditioner operating state, thereby being able to use the target comparison spectrum data group to eliminate other factors that affect the air conditioner operating frequency and sound pressure level. Then, analysis and processing are performed through the cloud, which can more accurately detect air conditioner fault information and promptly prompt the user. More accurately detecting air conditioner fault information and promptly prompting the user, thereby improving the efficiency of air conditioner fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 This is one of the flow charts of the air conditioner fault detection method provided by the present invention;

[0040] Figure 2 This is the second flow chart of the air conditioner fault detection method provided by the present invention;

[0041] Figure 3 It is a structural schematic diagram of the air conditioner fault detection device provided by the present invention;

[0042] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0043] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0044] The following combination Figure 1-Figure 4 The present invention describes an air conditioner fault detection method, device, air conditioner and electronic equipment.

[0045] It should be noted that the air conditioner in the embodiment of the present invention can be a wall-mounted air conditioner, a cabinet-type air conditioner, a ceiling-mounted air conditioner, etc., and there is no limitation on the type of air conditioner.

[0046] The air conditioner fault detection method according to the embodiment of the present invention may be executed by a controller. Of course, in some embodiments, the air conditioner fault detection method according to the embodiment of the present invention may also be executed by a server. This is not a limitation on the execution entity. The air conditioner fault detection method according to the embodiment of the present invention will be described below using a controller as an example.

[0047] Reference Figure 1 The air conditioner fault detection method provided by the present invention comprises the following steps:

[0048] Step 110: Acquire multiple stop frequency spectrum data groups of the air conditioner outdoor unit in a stop state, and multiple running frequency spectrum data groups of the air conditioner outdoor unit in a running state.

[0049] Specifically, this embodiment acquires spectrum data sets for the air conditioner when it is in the stopped and running states, respectively, at different indoor and outdoor temperatures, as well as user-set temperatures. These data sets are recorded as the stopped spectrum data set and the running spectrum data set. The running spectrum data set represents the frequency and intensity (i.e., the sound pressure level corresponding to the frequency) of the air conditioner's operation.

[0050] It should be noted that the sound pressure level is a logarithmic quantity used to represent the size of a sound as the sound intensity level based on the characteristics of the human ear's response to changes in sound intensity. According to research, the square of the sound pressure is proportional to the sound intensity, so the sound intensity level can be converted into the sound pressure level.

[0051] The sound pressure level in this embodiment is the characteristic of the sound intensity of the air conditioner operation that can be heard by the human ear. The operating status of the compressor module and the fan module of the air conditioner is represented by the sound pressure level at different operating frequencies.

[0052] Step 120 : Compare the multiple shutdown spectrum data groups with the multiple operating spectrum data groups to obtain a target comparison spectrum data group.

[0053] Specifically, this embodiment matches data from the shutdown state with data from the running state. Specifically, based on the temperature conditions of any running spectrum data set, the spectrum and sound pressure level corresponding to the shutdown spectrum data set under that temperature condition are found. In other words, by controlling irrelevant variables, factors other than air conditioner operation are eliminated, and only the spectrum data sets in the shutdown and running states are considered.

[0054] By using the difference between the running state and the shutdown state as the comparison spectrum data group, other factors that affect the air conditioner's operating frequency and sound pressure level are eliminated, thereby improving the accuracy of the data and being able to more accurately detect air conditioner fault information.

[0055] Step 130 : Send the target comparison spectrum data set to the air-conditioning cloud, perform matching analysis on the target comparison spectrum data set through the air-conditioning cloud, and output the analysis result.

[0056] Specifically, the air conditioning cloud in this embodiment can be a remote Internet used for cloud computing. The comparison spectrum data group is analyzed through cloud data, and the indoor temperature, outdoor temperature and air conditioning user set temperature of the comparison spectrum data group are respectively matched one by one with the cloud data. The difference between the sound pressure level under the actual operating state corresponding to the comparison spectrum data group and the standard data on the cloud is obtained as the analysis result and output.

[0057] Step 140: Determine whether there is any abnormality in the air-conditioning operating system based on the analysis result and prompt the user.

[0058] Specifically, this embodiment determines whether there is an abnormality in the air conditioner's operating system based on the difference between the sound pressure level in the actual operating state and the standard data in the cloud at different frequencies of the air conditioner operation, so that the user can further determine whether there is an abnormality in the fan module and the compressor module. If an abnormality occurs, the user will be prompted in time. If it is normal, the operating state will be maintained and continued.

[0059] It should be noted that in this embodiment, when an abnormality occurs in the compressor module and fan module of the air conditioner, that is, the air conditioner fails, it can be directly displayed on the screen of the air conditioner indoor unit, and a fault light can be used to send a warning signal to prompt the user. A fault code can also be generated and sent to the user end. The user end can feed back the fault code to the maintenance personnel through the cloud for fault inspection.

[0060] It should be further explained that in order to enable maintenance personnel to clearly understand the fault location, the compressor module fault and the fan module fault can be set to different fault codes, such as the compressor module fault code is F1, and the fan fault code is F2.

[0061] The air conditioner fault detection method provided by an embodiment of the present invention obtains multiple downtime spectrum data groups of the air conditioner outdoor unit in the downtime state, as well as multiple operating spectrum data groups in the operating state, and then compares the multiple downtime spectrum data groups with the multiple operating spectrum data to obtain a target comparison spectrum data group. The air conditioner cloud further performs matching analysis on each target comparison spectrum data group and outputs the analysis results. Finally, based on the analysis results, it is determined whether there is an abnormality in the air conditioner operating system and a user is prompted. By obtaining the target comparison spectrum data group, the present invention obtains the spectrum data group of the downtime state that matches the air conditioner operating state, thereby being able to use the target comparison spectrum data group to eliminate other factors that affect the air conditioner operating frequency and sound pressure level. Then, analysis and processing are performed through the cloud, which can more accurately detect air conditioner fault information and promptly prompt the user.

[0062] Based on the above embodiment, the step of obtaining multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple running spectrum data groups in the running state includes:

[0063] Collecting first outdoor temperature, first indoor temperature and first user setting data of the air conditioner outdoor unit under different conditions when the air conditioner outdoor unit is in a stopped state;

[0064] collecting a second outdoor temperature, a second indoor temperature, and second user setting data of the air conditioner outdoor unit under different operating conditions;

[0065] The operating spectrum data group includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency;

[0066] A plurality of shutdown spectrum data groups are obtained based on the first outdoor temperature, the first indoor temperature and the first user setting data under different conditions, and a plurality of operating spectrum data groups are obtained based on the second outdoor temperature, the second indoor temperature and the second user setting data under different conditions.

[0067] Specifically, this embodiment involves the process of acquiring multiple off-state spectrum data sets and multiple on-state spectrum data sets. To ensure accurate air conditioner fault detection, spectrum data sets must be acquired for various off-state and on-state conditions, namely, for different outdoor temperatures, indoor temperatures, and user-set data in both off-state and on-state conditions. For example, off-state spectrum data sets A1, A2, and A3 are set for outdoor temperatures Tx1, Tx2, and Tx3, respectively; indoor temperatures tx1, tx2, and tx3, respectively; and user-set data Vx1, Vx2, and Vx3, respectively. Furthermore, spectrum data sets B1, B2, and B3 are set for outdoor temperatures Ty1, Ty2, and Ty3, respectively; indoor temperatures ty1, ty2, and ty3, respectively; and user-set data Vy1, Vy2, and Vy3, respectively; and operating frequencies H1, H2, and H3, respectively, with corresponding sound pressure levels Hy1, Hy2, and Hy3, respectively.

[0068] Refer to Table 1-3 below:

[0069] Table 1:

[0070] Data Group Outdoor temperature Indoor temperature Air Conditioner User Settings Spectrum data 1 Tx1 tx1 Vx1 A1 2 Tx2 tx2 Vx2 A2 3 Tx3 tx3 Vx3 A3 … … … … …

[0071] Table 2:

[0072] Data Group Outdoor temperature Indoor temperature Air Conditioner User Settings Spectrum data 1 Ty1 ty1 Vy1 B1 2 Ty2 ty2 Vy2 B2 3 Ty3 ty3 Vy3 B3

[0073] Table 3:

[0074] Spectrum data frequency sound pressure level B1 H1, H2, H3… Hy1, Hy2, Hy3… B2 H1, H2, H3… Hy1, Hy2, Hy3… … … …

[0075] This embodiment acquires spectrum data of different outdoor temperatures, indoor temperatures, and user-set data in the running state and the shutdown state to obtain multiple sets of common data, thereby ensuring that data matching the comparison spectrum data group can be found in the cloud data, and then obtaining the difference with the cloud data, thereby ensuring the accuracy of air conditioning fault detection and improving the efficiency of data matching.

[0076] Based on the above embodiment, the plurality of shutdown spectrum data groups and the plurality of operating spectrum data groups are compared to obtain a target comparison spectrum data group, including:

[0077] Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the running spectrum data groups, a matching comparison is performed with the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups to obtain a plurality of comparison spectrum data groups;

[0078] A target operating spectrum data group is selected from multiple operating spectrum data groups, and based on the second outdoor temperature, the second indoor temperature and the second user setting data of the target operating spectrum data group, a target comparison spectrum data group corresponding to the target operating spectrum data group is confirmed in the multiple comparison spectrum data groups.

[0079] Specifically, this embodiment provides a specific method for obtaining target comparison spectrum data sets. Each collected shutdown spectrum data set is compared with an operating spectrum data set, and the difference between the data corresponding to the shutdown spectrum data set that matches the temperature conditions of the operating spectrum data set is calculated to obtain multiple comparison spectrum data sets.

[0080] It's important to note that in actual air conditioning operation, the intensity of the operating spectrum isn't solely determined by the air conditioner's operating frequency; it's also influenced by other factors, such as outdoor and indoor temperatures. Therefore, under the same external conditions, it's necessary to measure the difference in sound pressure levels between the air conditioner's running and stopped states, and then recalculate the difference between that and the standard value through the cloud.

[0081] From among the multiple comparison spectrum data sets, a data set under a specific temperature condition is selected as the target comparison spectrum data set K1. The values of the target comparison spectrum data set are the difference between the operating spectrum data set B1 and the shutdown spectrum data set A1 under this temperature condition. Specifically, based on the temperature value of B1, the value of A1 where Ty1 = Tx1, ty1 = Tx1, and Vy1 = Vx1 is found in the data of A1. The calculation K1 = B1 - A1 is then performed to generate data set K.

[0082] As shown in Tables 4 and 5 below.

[0083] Table 4:

[0084] Data Group Outdoor temperature Indoor temperature Air Conditioner User Settings Spectrum data 1 Tk1 tk1 Vk1 K1=B1-A1 2 Tk2 tk2 Vk2 K2=B2-A2 3 Tk3 tk3 Vk3 K3=B3-A3 … … … … …

[0085] Table 5:

[0086] Spectrum data frequency sound pressure level K1 H1, H2, H3… Hk1, Hk2, Hk3… K2 H1, H2, H3… Hk1, Hk2, Hk3… … … …

[0087] Reference Figure 2 Based on the above embodiment, the matching analysis of the target comparison spectrum data group is performed through the air conditioning cloud, and the analysis results are output, including:

[0088] Step 210: performing matching analysis on the target comparison spectrum data group and a preset standard spectrum group through the air conditioning cloud;

[0089] Step 220, obtaining a reference spectrum data group corresponding to the target comparison spectrum data group from the standard spectrum group;

[0090] The reference outdoor temperature, reference indoor temperature and reference user setting data of the reference spectrum data group correspond one-to-one to the second outdoor temperature, second indoor temperature and second user setting data of the target comparison spectrum data group;

[0091] Step 230 : Obtain the difference data between the sound pressure level of the target comparison spectrum data set corresponding to the operating frequency and the sound pressure level of the reference spectrum data set corresponding to the operating frequency, and output the difference data as the analysis result.

[0092] Specifically, this embodiment provides a detailed process for matching spectrum data sets through the air conditioning cloud. First, the obtained comparison spectrum data set is matched with the standard spectrum data set preset in the cloud. That is, K1, K2, and K3 are matched with the corresponding data sets C1, C2, and C3 in the cloud data. Refer to Tables 6 and 7 below:

[0093] Table 6:

[0094] Data Group Outdoor temperature Indoor temperature Air Conditioner User Settings Spectrum data 1 Tz1 tz1 Vz1 C1 2 Tz2 tz2 Vz2 C2 3 Tz3 tz3 Vz3 C3

[0095] Table 7:

[0096] Spectrum data frequency sound pressure level C1 H1, H2, H3… Hz1, Hz2, Hz3… C2 H1, H2, H3… Hz1, Hz2, Hz3… C3 H1, H2, H3… Hz1, Hz2, Hz3…

[0097] Then, using K1 as the target comparison spectrum data set, based on K1's corresponding Tk1, tk1, and Vk1, we find the standard spectrum data set C1 in the cloud data set where Tk1 = Tz1, tk1 = tz1, and Vk1 = Vz1, and use it as the reference spectrum data set to obtain the sound pressure level of C1. In other words, we find the standard sound pressure level data for the cloud data set under K1's outdoor temperature, indoor temperature, and user-set data.

[0098] Then, the difference X in the sound pressure level between the reference spectrum data group C1 and the target comparison spectrum data group K1 is calculated, and the difference X is output as an analysis result to perform fault analysis on the air conditioner.

[0099] Refer to Table 8 below:

[0100] frequency K1 C1 X 1Hz Hk1 Hz1 X1=Hk1-Hz1 2Hz Hk2 Hz2 X2=Hk2-Hz2 … … … …

[0101] This embodiment matches the data in the air-conditioning cloud with the comparison spectrum data group. Under the premise of excluding external factors, it can obtain the standard data of the sound pressure level of the cloud data under different outdoor temperatures, indoor temperatures and user-set data, and thus calculate the difference with the actual sound pressure level for fault analysis, thereby ensuring the accuracy of fault analysis and improving the efficiency of fault detection.

[0102] Based on the above embodiment, the method of determining whether there is an abnormality in the air-conditioning operation system based on the analysis result and prompting the user includes:

[0103] Matching the operating frequency of the target comparison spectrum data group with a preset abnormality determination data group, and performing abnormality determination on the air-conditioning operation system based on the difference data;

[0104] When the difference data is greater than the first target preset threshold, or the difference data is less than the second target preset threshold, the air-conditioning operation system is confirmed to be abnormal and a user is prompted to confirm that the fan module or compressor module of the air-conditioning operation system is abnormal based on the operating frequency.

[0105] Based on the above embodiment, after matching the operating frequency of the target comparison spectrum data group with the preset abnormality determination data group and performing abnormality determination on the air-conditioning operation system based on the difference data, the method further includes:

[0106] When it is confirmed that the difference data is less than or equal to the first target preset threshold and the difference data is greater than or equal to the second target preset threshold, it is confirmed that the air conditioning operation system is normal.

[0107] Specifically, the above embodiment provides a detailed process for determining compressor module and fan module faults based on the difference X in sound pressure levels between the reference spectrum data group C1 and the target comparison spectrum data group K1 at different operating frequencies.

[0108] The first preset range of the air conditioner operating frequency is set to 1Hz-50Hz, mainly used to determine whether there is an abnormality in the compressor module; the second preset range is set to be greater than or equal to 50Hz, mainly used to determine whether there is an abnormality in the fan module. The first target preset threshold is set to 10DB, and the second target preset threshold is set to -10DB.

[0109] Based on the above difference X, the preset range and the preset threshold, the following situations can be classified:

[0110] When the operating frequency is 1-50Hz, if X>10DB, or X<-10DB, the press module is judged to be abnormal;

[0111] When the operating frequency is 1-50Hz, if 10DB≤X≤10DB, the press module is judged to be normal;

[0112] When the operating frequency is above 50Hz, if X>10DB, or X<-10DB, the fan module is determined to be abnormal;

[0113] When the operating frequency is above 50 Hz, if 10DB≤X≤10DB, the fan module is determined to be normal.

[0114] The details are shown in Table 9 below:

[0115]

[0116] This embodiment performs fault judgment on the sound pressure level difference at different operating frequencies, thereby more accurately detecting faults in the compressor module and fan module of the air conditioner. Different fault detection results are obtained corresponding to different operating frequencies and different differences, thereby improving the efficiency and accuracy of fault detection.

[0117] The air conditioning fault detection device provided by the present invention is described below. The air conditioning fault detection device described below and the air conditioning fault detection method described above can be referenced to each other.

[0118] Reference Figure 3 The air conditioner fault detection device provided by the present invention comprises:

[0119] The acquisition unit 310 is configured to acquire a plurality of shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and a plurality of operation spectrum data groups of the air conditioner outdoor unit in an operation state;

[0120] A comparing unit 320 is configured to compare the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0121] The matching unit 330 is configured to send the target comparison spectrum data group to the air conditioning cloud, perform matching analysis on the target comparison spectrum data group through the air conditioning cloud, and output the analysis result;

[0122] The determination unit 340 is configured to determine whether there is any abnormality in the air-conditioning operation system based on the analysis result and to prompt the user.

[0123] The air conditioner fault detection device provided in an embodiment of the present invention obtains multiple downtime spectrum data sets of the air conditioner outdoor unit in the downtime state, as well as multiple operating spectrum data sets in the operating state. The device then compares the multiple downtime spectrum data sets with the multiple operating spectrum data sets to obtain a target comparison spectrum data set. The device then performs a matching analysis on each target comparison spectrum data set through the air conditioner cloud, outputs the analysis results, and finally determines whether an abnormality exists in the air conditioner operating system based on the analysis results and provides a user with a prompt. By obtaining the target comparison spectrum data set, the present invention obtains a spectrum data set for the downtime state that matches the air conditioner operating state. This allows the use of the target comparison spectrum data set to eliminate other factors that affect the air conditioner's operating frequency and sound pressure level. The device then performs analysis and processing through the cloud, enabling more accurate detection of air conditioner fault information and prompting the user in a timely manner.

[0124] Based on the above embodiment, the acquisition unit is specifically used for:

[0125] Collecting first outdoor temperature, first indoor temperature and first user setting data of the air conditioner outdoor unit under different conditions when the air conditioner outdoor unit is in a stopped state;

[0126] collecting a second outdoor temperature, a second indoor temperature, and second user setting data of the air conditioner outdoor unit under different operating conditions;

[0127] The operating spectrum data group includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency;

[0128] A plurality of shutdown spectrum data groups are obtained based on the first outdoor temperature, the first indoor temperature and the first user setting data under different conditions, and a plurality of operating spectrum data groups are obtained based on the second outdoor temperature, the second indoor temperature and the second user setting data under different conditions.

[0129] Based on the above embodiments, the comparison unit is specifically used for:

[0130] Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the running spectrum data groups, a matching comparison is performed with the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups to obtain a plurality of comparison spectrum data groups;

[0131] A target operating spectrum data group is selected from multiple operating spectrum data groups, and based on the second outdoor temperature, the second indoor temperature and the second user setting data of the target operating spectrum data group, a target comparison spectrum data group corresponding to the target operating spectrum data group is confirmed in the multiple comparison spectrum data groups.

[0132] Based on the above embodiments, the matching unit is specifically used for:

[0133] Matching and analyzing the target comparison spectrum data group with a preset standard spectrum group through the air conditioning cloud;

[0134] Acquire a reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group;

[0135] The reference outdoor temperature, reference indoor temperature and reference user setting data of the reference spectrum data group correspond one-to-one to the second outdoor temperature, second indoor temperature and second user setting data of the target comparison spectrum data group;

[0136] The difference data between the sound pressure level of the target comparison spectrum data group corresponding to the operating frequency and the sound pressure level of the reference spectrum data group corresponding to the operating frequency is obtained, and the difference data is output as an analysis result.

[0137] Based on the above embodiment, the determination unit is specifically configured to:

[0138] Matching the operating frequency of the target comparison spectrum data group with a preset abnormality determination data group, and performing abnormality determination on the air-conditioning operation system based on the difference data;

[0139] When the difference data is greater than the first target preset threshold, or the difference data is less than the second target preset threshold, the air-conditioning operation system is confirmed to be abnormal and a user is prompted to confirm that the fan module or compressor module of the air-conditioning operation system is abnormal based on the operating frequency.

[0140] Based on the above embodiment, the determination unit is specifically configured to:

[0141] When it is confirmed that the difference data is less than or equal to the first target preset threshold and the difference data is greater than or equal to the second target preset threshold, it is confirmed that the air conditioning operation system is normal.

[0142] An embodiment of the present invention further provides an air conditioner, comprising an indoor unit, an outdoor unit, and a processor and memory disposed in the indoor unit or the outdoor unit; the air conditioner also comprises a program or instruction stored in the memory and executable by the processor, wherein when the program or instruction is executed by the processor, the air conditioner fault detection method described above is performed. The method comprises:

[0143] Acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple running spectrum data groups in a running state;

[0144] Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0145] Sending the target comparison spectrum data group to the air conditioning cloud, performing matching analysis on the target comparison spectrum data group through the air conditioning cloud, and outputting the analysis results;

[0146] Based on the analysis result, it is determined whether there is an abnormality in the air-conditioning operation system and a prompt is given to the user.

[0147] Figure 4 An example of a physical structure diagram of an electronic device is shown below. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the air conditioner fault detection method, which includes:

[0148] Acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple running spectrum data groups in a running state;

[0149] Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0150] Sending the target comparison spectrum data group to the air conditioning cloud, performing matching analysis on the target comparison spectrum data group through the air conditioning cloud, and outputting the analysis results;

[0151] Based on the analysis result, it is determined whether there is an abnormality in the air-conditioning operation system and a prompt is given to the user.

[0152] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0153] On the other hand, the present invention further provides a computer program product, comprising a computer program. The computer program may be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the air conditioner fault detection method provided by the above methods, the method comprising:

[0154] Acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple running spectrum data groups in a running state;

[0155] Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0156] Sending the target comparison spectrum data group to the air conditioning cloud, performing matching analysis on the target comparison spectrum data group through the air conditioning cloud, and outputting the analysis results;

[0157] Based on the analysis result, it is determined whether there is an abnormality in the air-conditioning operation system and a prompt is given to the user.

[0158] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the air conditioner fault detection method provided by the above methods is implemented, and the method includes:

[0159] Acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple running spectrum data groups in a running state;

[0160] Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group;

[0161] Sending the target comparison spectrum data group to the air conditioning cloud, performing matching analysis on the target comparison spectrum data group through the air conditioning cloud, and outputting the analysis results;

[0162] Based on the analysis result, it is determined whether there is an abnormality in the air-conditioning operation system and a prompt is given to the user.

[0163] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0164] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0165] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for detecting air conditioner faults, characterized in that: include: Acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state, and multiple running spectrum data groups in a running state; Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group; Sending the target comparison spectrum data group to the air conditioning cloud, performing matching analysis on the target comparison spectrum data group through the air conditioning cloud, and outputting the analysis results; Determine whether there is an abnormality in the air-conditioning operation system based on the analysis result and prompt the user; The matching analysis of the target comparison spectrum data group is performed through the air conditioning cloud, and the analysis results are output, including: Matching and analyzing the target comparison spectrum data group with a preset standard spectrum group through the air conditioning cloud; Acquire a reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group; The reference outdoor temperature, reference indoor temperature and reference user setting data of the reference spectrum data group correspond one-to-one to the second outdoor temperature, second indoor temperature and second user setting data of the target comparison spectrum data group; Obtaining difference data between the sound pressure level of the target comparison spectrum data group corresponding to the operating frequency and the sound pressure level of the reference spectrum data group corresponding to the operating frequency, and outputting the difference data as an analysis result; The step of obtaining a plurality of shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state and a plurality of operation spectrum data groups of the air conditioner outdoor unit in an operation state includes: Collecting first outdoor temperature, first indoor temperature and first user setting data of the air conditioner outdoor unit under different conditions when the air conditioner outdoor unit is in a stopped state; collecting a second outdoor temperature, a second indoor temperature, and second user setting data of the air conditioner outdoor unit under different operating conditions; Acquire multiple shutdown spectrum data groups based on the first outdoor temperature, the first indoor temperature, and the first user setting data under different conditions; acquire multiple operating spectrum data groups based on the second outdoor temperature, the second indoor temperature, and the second user setting data under different conditions; The operating spectrum data group includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency; Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group includes: Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the running spectrum data groups, a matching comparison is performed with the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups to obtain a plurality of comparison spectrum data groups; A target operating spectrum data group is selected from multiple operating spectrum data groups, and based on the second outdoor temperature, the second indoor temperature and the second user setting data of the target operating spectrum data group, a target comparison spectrum data group corresponding to the target operating spectrum data group is confirmed in the multiple comparison spectrum data groups.

2. The air conditioner fault detection method according to claim 1, characterized in that: The determining whether there is an abnormality in the air-conditioning operation system based on the analysis result and prompting the user includes: Matching the operating frequency of the target comparison spectrum data group with a preset abnormality determination data group, and performing abnormality determination on the air-conditioning operation system based on the difference data; When the difference data is greater than the first target preset threshold, or the difference data is less than the second target preset threshold, the air-conditioning operation system is confirmed to be abnormal and a user is prompted to confirm that the fan module or compressor module of the air-conditioning operation system is abnormal based on the operating frequency.

3. The air conditioner fault detection method according to claim 2, characterized in that: After matching the operating frequency of the target comparison spectrum data group with a preset abnormality determination data group and performing abnormality determination on the air-conditioning operation system based on the difference data, the method further includes: When the difference data is smaller than or equal to the first target preset threshold and the difference data is greater than or equal to the second target preset threshold, it is confirmed that the air-conditioning operation system is normal.

4. An air conditioner fault detection device, characterized in that: include: An acquisition unit, configured to acquire a plurality of stop frequency spectrum data groups of the air conditioner outdoor unit in a stop state, and a plurality of running frequency spectrum data groups of the air conditioner outdoor unit in a running state; a comparing unit, configured to compare the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group; a matching unit, configured to send the target comparison spectrum data group to the air conditioning cloud, perform matching analysis on the target comparison spectrum data group through the air conditioning cloud, and output an analysis result; a determination unit, configured to determine whether an abnormality exists in the air-conditioning operation system based on the analysis result and to prompt a user; The matching analysis of the target comparison spectrum data group is performed through the air conditioning cloud, and the analysis results are output, including: Matching and analyzing the target comparison spectrum data group with a preset standard spectrum group through the air conditioning cloud; Acquire a reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group; The reference outdoor temperature, reference indoor temperature and reference user setting data of the reference spectrum data group correspond one-to-one to the second outdoor temperature, second indoor temperature and second user setting data of the target comparison spectrum data group; Obtaining difference data between the sound pressure level of the target comparison spectrum data group corresponding to the operating frequency and the sound pressure level of the reference spectrum data group corresponding to the operating frequency, and outputting the difference data as an analysis result; The step of obtaining a plurality of shutdown spectrum data groups of the air conditioner outdoor unit in a shutdown state and a plurality of operation spectrum data groups of the air conditioner outdoor unit in an operation state includes: Collecting first outdoor temperature, first indoor temperature and first user setting data of the air conditioner outdoor unit under different conditions when the air conditioner outdoor unit is in a stopped state; collecting a second outdoor temperature, a second indoor temperature, and second user setting data of the air conditioner outdoor unit under different operating conditions; Acquire multiple shutdown spectrum data groups based on the first outdoor temperature, the first indoor temperature, and the first user setting data under different conditions; acquire multiple operating spectrum data groups based on the second outdoor temperature, the second indoor temperature, and the second user setting data under different conditions; The operating spectrum data group includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency; Comparing the plurality of shutdown spectrum data groups with the plurality of operating spectrum data groups to obtain a target comparison spectrum data group includes: Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the running spectrum data groups, a matching comparison is performed with the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups to obtain a plurality of comparison spectrum data groups; A target operating spectrum data group is selected from multiple operating spectrum data groups, and based on the second outdoor temperature, the second indoor temperature and the second user setting data of the target operating spectrum data group, a target comparison spectrum data group corresponding to the target operating spectrum data group is confirmed in the multiple comparison spectrum data groups.

5. An air conditioner, characterized in that: It includes an indoor unit, an outdoor unit, and a processor and a memory arranged in the indoor unit or the outdoor unit; it also includes a program or instruction stored on the memory and executable on the processor, and when the program or instruction is executed by the processor, the air conditioning fault detection method according to any one of claims 1 to 3 is executed.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the air conditioning fault detection method according to any one of claims 1 to 3 is implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the air conditioner fault detection method according to any one of claims 1 to 3 is implemented.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the air conditioner fault detection method according to any one of claims 1 to 3 is implemented.

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