WO2024001208A1

WO2024001208A1 - Fault detection method and apparatus for air conditioner, air conditioner and electronic device

Info

Publication number: WO2024001208A1
Application number: PCT/CN2023/076204
Authority: WO
Inventors: 李鹏辉; 孙艳斌; 李海军; 王彩平; 李敬胜; 张润雨; 杨文钧
Original assignee: 青岛海尔空调器有限总公司; 青岛海尔空调电子有限公司; 海尔智家股份有限公司
Priority date: 2022-06-29
Filing date: 2023-02-15
Publication date: 2024-01-04
Also published as: CN115264749A

Abstract

Provided in the present application are a fault detection method and apparatus for an air conditioner, an air conditioner and an electronic device. The method comprises: acquiring a plurality of shutdown frequency spectrum datasets of an air conditioner outdoor unit in a shutdown state and a plurality of operation frequency spectrum datasets in an operating state; comparing the plurality of shutdown frequency spectrum datasets and the plurality of operation frequency spectrum datasets to obtain target comparison frequency spectrum datasets; sending the target comparison frequency spectrum datasets to an air conditioner cloud terminal, performing matching analysis on each target comparison frequency spectrum dataset by means of the air conditioner cloud terminal, and outputting an analysis result; and determining, on the basis of the analysis result, whether an anomaly occurs in an air conditioner operating system, and providing an indication to a user. According to the present application, the acquisition of the target comparison frequency spectrum datasets enables other factors that affect the operation frequency and sound pressure level of the air conditioner to be excluded on the basis of the target comparison frequency spectrum datasets, and then analysis processing is performed by means of the cloud terminal, such that fault information of the air conditioner can be detected more accurately, and an indication can be provided to the user in a timely manner, thereby improving fault detection efficiency for the air conditioner.

Description

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

Cross-references to related applications

This application claims the priority of the Chinese patent application with application number 202210763402.1 submitted on June 29, 2022, and the invention name is "Air conditioning fault detection method, device, air conditioning and electronic equipment", which is fully incorporated herein by reference.

Technical field

The present application relates to the technical field of smart air conditioners, and in particular to an air conditioner fault detection method, device, air conditioner and electronic equipment.

Background technique

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

Therefore, how to improve the fault detection efficiency of air conditioners and promptly remind users when air conditioners malfunction is an urgent technical problem that needs to be solved.

Contents of the invention

This application provides an air conditioner fault detection method, device, air conditioner and electronic equipment to solve the shortcoming of the existing technology that the detection of air conditioner faults is not intelligent enough, improve the fault detection efficiency of the air conditioner, and provide timely reminders when the air conditioner fails. user effects.

This application provides an air conditioning fault detection method, including:

Obtain multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state, and multiple operating spectrum data groups in the running state;

Compare the multiple shutdown spectrum data groups with the multiple operating spectrum data groups to obtain the target comparison spectrum data group;

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 results;

Based on the analysis results, it is determined whether there is an abnormality in the air conditioning operating system and prompts the user.

According to an air conditioner fault detection method provided by this application, the acquisition of multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data groups in the operating state include:

Collect the first outdoor temperature, the first indoor temperature and the first user setting data of the air conditioner outdoor unit in the shutdown state under different conditions;

Collect the second outdoor temperature, the second indoor temperature and the second user setting data of the air conditioner outdoor unit under different conditions in operation;

Wherein, the operating spectrum data set includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency;

Acquire multiple shutdown spectrum data groups based on the first outdoor temperature, the first indoor temperature and the first user setting data under different situations, and obtain multiple shutdown spectrum data groups based on the second outdoor temperature, the second indoor temperature and the second user setting data under different situations. operating spectrum data set.

According to an air conditioning fault detection method provided by this application, the multiple shutdown spectrum data groups and the multiple operating spectrum data groups are compared to obtain a target comparison spectrum data group, including:

Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the operating spectrum data groups, and the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups. The data are matched and compared to obtain multiple comparison spectrum data groups;

Select a target operating spectrum data group from a plurality of 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, in the plurality of comparison spectrum data groups Confirm the target comparison spectrum data set corresponding to the target operating spectrum data set.

According to an air-conditioning fault detection method provided by this application, the target comparison spectrum data group is matched and analyzed through the air-conditioning cloud, and the analysis results are output, including:

Match and analyze the target comparison spectrum data group and the preset standard spectrum group through the air-conditioning cloud;

Obtain a reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group;

Wherein, the reference outdoor temperature, the reference indoor temperature and the reference user setting data of the reference spectrum data group are in one-to-one correspondence with the second outdoor temperature, the second indoor temperature and the second user setting data of the target comparison spectrum data group;

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

According to an air conditioning fault detection method provided by this application, determining whether there is an abnormality in the air conditioning operating system based on the analysis results and prompting the user includes:

Match the operating frequency of the target comparison spectrum data group with the preset abnormality determination data group, and perform abnormality determination on the air conditioning operating 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, it is confirmed that the air conditioning operating system is abnormal and prompts the user, allowing the user to confirm based on the operating frequency There is an abnormality in the fan module or compressor module of the air conditioning operating system.

According to an air-conditioning fault detection method provided by this application, the operating frequency of the target comparison spectrum data group is matched with a preset abnormality determination data group, and after abnormality determination is made on the air-conditioning operating system based on the difference data, Also includes:

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 operating system is normal.

This application also provides an air conditioning fault detection device, including:

An acquisition unit is used to acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state, and multiple operating spectrum data groups in the operating state;

A comparison unit, configured to compare the multiple shutdown spectrum data groups with the multiple operating spectrum data groups, and obtain the target comparison spectrum data group;

A matching unit, configured to 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 results;

A determination unit is configured to determine whether there is an abnormality in the air conditioning operating system based on the analysis results and prompt the user.

The application also provides an air conditioner, including an indoor unit, an outdoor unit, a processor and a memory provided in the indoor unit or outdoor unit; and a program stored on the memory and executable on the processor. or an instruction, when the program or instruction is executed by the processor, any one of the air conditioning fault detection methods described above is executed.

This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above is implemented. Any one of the air conditioning fault detection methods described above.

The present application also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements any one of the above air-conditioning fault detection methods.

The present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements any one of the above air-conditioning fault detection methods.

The air conditioner fault detection method, device, air conditioner and electronic equipment provided by this application obtain multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data groups in the operating state, and then combine the multiple shutdown spectrum data groups. The shutdown spectrum data group is compared with multiple operating spectrum data to obtain the target comparison spectrum data group. Each target comparison spectrum data group is further matched and analyzed through the air-conditioning cloud, and the analysis results are output. Finally, based on the analysis results, it is determined whether the air-conditioning operating system is An exception exists and the user is prompted. This application obtains the target comparison spectrum data group and obtains the matching spectrum data group of the shutdown state when the air conditioner is running. This application can use the target comparison spectrum data group to eliminate other factors that affect the air conditioner's operating frequency and sound pressure level, and then perform the operation through the cloud. Analysis and processing can more accurately detect air conditioner fault information and prompt users in a timely manner, thus improving the efficiency of air conditioner fault detection.

Description of drawings

In order to explain the technical solutions in this application or the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are of the present invention. For some embodiments of the application, those of ordinary skill in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is one of the flow diagrams of the air conditioning fault detection method provided by this application;

Figure 2 is the second schematic flow chart of the air conditioning fault detection method provided by this application;

Figure 3 is a schematic structural diagram of the air conditioning fault detection device provided by this application;

Figure 4 is a schematic structural diagram of an electronic device provided by this application.

Detailed ways

In order to make the purpose, technical solutions and advantages of this application more clear, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described The embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The air conditioner fault detection method, device, air conditioner and electronic equipment of the present application will be described below with reference to Figures 1-4.

It should be noted that the air conditioner in the embodiment of the present application may be a wall-mounted air conditioner, a cabinet air conditioner, a ceiling air conditioner, etc. The type of air conditioner is not limited here.

The execution subject of the air-conditioning fault detection method in the embodiment of the present application may be a controller. Of course, in some embodiments, the execution subject of the air-conditioning fault detection method in the embodiment of the present application may also be a server. The execution subject is not limited here. The air conditioner fault detection method in the embodiment of the present application will be described below by taking the execution subject as the controller as an example.

Referring to Figure 1, the air conditioning fault detection method provided by this application includes the following steps:

Step 110: Obtain multiple shutdown spectrum data sets of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data sets in the running state.

Specifically, this embodiment obtains spectrum data sets of the air conditioner at different indoor temperatures, outdoor temperatures, and air conditioner user-set temperatures when the air conditioner is in a shutdown state and in a running state, respectively, which are recorded as the shutdown spectrum data set and Run the spectrum data set. Among them, the operating spectrum data group represents the operating frequency and intensity of the air conditioner (ie, the sound pressure level corresponding to the frequency).

It should be noted that the sound pressure level is based on the characteristics of the human ear's response to changes in sound intensity, and a pair of quantities is derived to represent the size of the sound as the sound intensity level. According to research, the square of the sound pressure is proportional to the sound intensity, so Sound intensity levels can be converted into sound pressure levels.

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

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

Specifically, this embodiment is to match the data in the shutdown state with the data in the running state. The specific embodiment is as follows: according to the temperature condition of any operating spectrum data group, find the spectrum and sound pressure level corresponding to the shutdown spectrum data group under this temperature condition. That is to say, by controlling irrelevant variables, other factors other than the operation of the air conditioner are excluded, and only the frequency in the shutdown state and the operating state are considered. Spectral data set.

The difference between the running state and the shutdown state is used as a comparison spectrum data set to eliminate other factors that affect the operating frequency and sound pressure level of the air conditioner, thus improving the accuracy of the data and enabling more accurate detection of air conditioner fault information.

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 results.

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 the cloud data, and the indoor temperature, outdoor temperature and air-conditioning user set temperature of the comparison spectrum data group are respectively Correspond to the cloud data one by one, and the difference between the sound pressure level under actual operating conditions corresponding to the comparative spectrum data group and the standard data in the cloud is obtained as the analysis result and output.

Step 140: Determine whether there is an abnormality in the air conditioning operating system based on the analysis results and prompt the user.

Specifically, this embodiment determines whether there is an abnormality in the operating system of the air conditioner 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, thereby allowing the user to further determine whether the fan module and the compressor Whether the module is abnormal, if abnormal, prompt the user in time, if normal, keep the running status and continue running.

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, when 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 out a warning signal to prompt the user, or it can also be generated. The fault code is sent to the user end, and the user end can provide cloud feedback of the fault code to the maintenance personnel for fault inspection.

It should be further explained that in order to enable maintenance personnel to clearly understand the location of the fault, the compressor module fault and the fan module fault can be set to different fault codes. For example, the code for the compressor module fault is F1 and the code for the fan fault is F2.

The air conditioner fault detection method provided by the embodiment of the present application obtains multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data groups in the running state, and then combines the multiple shutdown spectrum data groups with Compare multiple operating spectrum data to obtain the target comparison spectrum data group, and further perform matching analysis on each target comparison spectrum data group through the air-conditioning cloud, and output the analysis results. Finally, based on the analysis results, it is determined whether there is an abnormality in the air-conditioning operating system and the user Prompt. This application obtains the air-conditioning operation by obtaining the target comparison spectrum data set. The matched spectrum data group of the shutdown state can be used to eliminate other factors that affect the operating frequency and sound pressure level of the air conditioner by using the target comparison spectrum data group, and then analyze and process it through the cloud to more accurately detect the fault information of the air conditioner. Prompt the user in a timely manner. Detect the fault information of the air conditioner more accurately and prompt the user in a timely manner.

Based on the above embodiment, the acquisition of multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data groups in the operating state includes:

Specifically, this embodiment is a process of acquiring multiple shutdown spectrum data groups and multiple operating spectrum data groups. In order to ensure the accuracy of air-conditioning fault detection, it is necessary to obtain spectrum data sets for a variety of different shutdown states and operating states, that is, different outdoor temperatures, indoor temperatures, and user setting data in the shutdown state and operating states. For example, set the shutdown spectrum data groups A1, A2, and A3 in the shutdown state. The outdoor temperatures are Tx1, Tx2, and Tx3 respectively; the indoor temperatures are tx1, tx2, and tx3; and the user setting data are Vx1, Vx2, and Vx3. In addition, set the spectrum data groups B1, B2, and B3, whose outdoor temperatures are Ty1, Ty2, and Ty3 respectively; the indoor temperatures are ty1, ty2, and ty3; the user setting data are Vy1, Vy2, and Vy3 respectively; and their operating frequencies are respectively are H1, H2, and H3, and the corresponding sound pressure levels are Hy1, Hy2, and Hy3 respectively.

Refer to Table 1-Table 3 below:

Table 1:

Table 2:

table 3:

In this embodiment, multiple sets of common data are obtained by collecting and acquiring spectrum data at different outdoor temperatures, indoor temperatures, and user-set data in operating and shutdown states, thereby ensuring that spectrums can be found and compared in cloud data. The matching data of the data group is then obtained and the difference with the cloud data is obtained, ensuring the accuracy of air conditioning fault detection and improving the efficiency of data matching.

Based on the above embodiment, the multiple shutdown spectrum data groups and the multiple operating spectrum data groups are compared to obtain the target comparison spectrum data group, including:

Specifically, this embodiment provides a specific method of obtaining a target comparison spectrum data set. Compare each collected shutdown spectrum data group with the operating spectrum data group, and perform a difference calculation on the data corresponding to the shutdown spectrum data group matched under the temperature conditions of the operating spectrum data group to obtain multiple sets of comparison spectrum data groups. .

It should be noted that under actual operating conditions of the air conditioner, the intensity of the operating spectrum of the air conditioner is not only determined by the operating frequency of the air conditioner, but is also affected by other factors, such as outdoor temperature, indoor temperature and other conditions. Therefore, it is necessary to obtain the operating status and shutdown status of the air conditioner under the same external conditions. The difference between the sound pressure level in the machine state and then the difference between the difference and the standard value is calculated again through the cloud.

Select the data group under a certain temperature condition from multiple sets of comparison spectrum data groups as the target comparison spectrum data group K1, where the values of the target comparison spectrum data group are the operating spectrum data group B1 and the shutdown spectrum under this temperature condition. Difference between data sets A1. That is, according to the temperature value of B1, in the data of A1, find the A1 value of Ty1=Tx1, ty1=Tx1, Vy1=Vx1, and perform the operation K1=B1-A1, thereby generating the data group K.

As shown in Table 4-Table 5 below.

Table 4:

table 5:

Referring to Figure 2, based on the above embodiment, the target comparison spectrum data group is matched and analyzed through the air-conditioning cloud, and the analysis results are output, including:

Step 210: Match and analyze the target comparison spectrum data group and the preset standard spectrum group through the air-conditioning cloud;

Step 220: Obtain the reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group;

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

Specifically, this embodiment provides details of matching spectrum data groups through the air-conditioning cloud. process. First, the obtained comparison spectrum data group and the standard spectrum data group preset in the cloud are matched and analyzed, that is, K1, K2, and K3 find matching data groups C1, C2, and C3 in the cloud data. Refer to Table 6 and Table 7 below:

Table 6:

Table 7:

Then, use K1 as the target comparison spectrum data group. Based on the Tk1, tk1, and Vk1 corresponding to K1, find the standard spectrum data group C1 corresponding to Tk1=Tz1, tk1=tz1, and Vk1=Vz1 in the cloud data as the reference spectrum data group. To obtain the sound pressure level of C1. In other words, find the standard data of the sound pressure level of the cloud data under K1's outdoor temperature, indoor temperature and user setting data.

Then the difference X in 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 for fault analysis of the air conditioner.

Refer to Table 8 below:

In this embodiment, by matching the data in the air-conditioning cloud with the comparative spectrum data group, it is possible to obtain the standard data of the sound pressure level of the cloud data under different outdoor temperatures, indoor temperatures, and user setting data without excluding external factors. Thus, the difference between the actual sound pressure level and the actual sound pressure level is calculated for fault analysis, which ensures the accuracy of fault analysis and improves the efficiency of fault detection.

Based on the above embodiment, determining whether there is an abnormality in the air conditioning operating system based on the analysis results and prompting the user includes:

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 operating system based on the difference data, it also includes:

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

Among them, the first preset range of the air conditioner operating frequency is set to 1Hz-50Hz, which is mainly used to determine whether the compressor module is abnormal; the second preset range is set to greater than or equal to 50Hz, which is mainly used to determine whether the fan module is abnormal. The first target preset threshold is set to 10DB, and the second target preset threshold is set to -10DB.

According to the above difference value X, the set preset range and the preset threshold, it can be divided into the following situations:

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

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

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

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

The details are shown in Table 9 below:

This embodiment performs fault judgment on the sound pressure level difference at different operating frequencies, thereby more accurately detecting faults on the compressor module and fan module of the air conditioner, and obtains different results corresponding to different operating frequencies and different differences. The fault detection results improve the efficiency and accuracy of fault detection.

The air-conditioning fault detection device provided by the present application will be described below. The air-conditioning fault detection device described below and the air-conditioning fault detection method described above may correspond to each other.

Referring to Figure 3, the air conditioning fault detection device provided by this application includes:

The acquisition unit 310 is used to acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state, and multiple operating spectrum data groups in the operating state;

The comparison unit 320 is used to compare the multiple shutdown spectrum data groups with the multiple operating spectrum data groups, and obtain the target comparison spectrum data group;

The matching unit 330 is used 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 results;

The determination unit 340 is configured to determine whether there is an abnormality in the air conditioning operating system based on the analysis results and prompt the user.

The air conditioner fault detection device provided by the embodiment of the present application obtains multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data groups in the running state, and then combines the multiple shutdown spectrum data groups with Compare multiple operating spectrum data to obtain the target comparison spectrum data group, and further perform matching analysis on each target comparison spectrum data group through the air-conditioning cloud, and output the analysis results. Finally, based on the analysis results, it is determined whether there is an abnormality in the air-conditioning operating system and the user Prompt. This application obtains the target comparison spectrum data group and obtains the matching spectrum data group of the shutdown state when the air conditioner is running. This application can use the target comparison spectrum data group to eliminate other factors that affect the air conditioner's operating frequency and sound pressure level, and then perform the operation through the cloud. Analysis Division Management can detect air conditioner fault information more accurately and prompt users in a timely manner.

Based on the above embodiments, the acquisition unit is specifically used for:

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

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

Based on the above embodiments, the determination unit is specifically used to:

An embodiment of the present application also provides an air conditioner. The air conditioner includes an indoor unit, an outdoor unit, a processor and a memory provided in the indoor unit or the outdoor unit; it also includes a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the above air conditioner fault detection method is performed. The method includes:

Figure 4 illustrates a schematic diagram of the physical structure of an electronic device. As shown in Figure 4, the electronic device may include: a processor (processor) 410, a communications interface (Communications Interface) 420, a memory (memory) 430 and a communication bus 440. Among them, the processor 410, the communication interface 420, and the memory 430 complete communication with each other through the communication bus 440. The processor 410 can call logical instructions in the memory 430 to perform an air conditioning fault detection method, which method includes:

The target comparison spectrum data set is sent to the air-conditioning cloud, and the target is compared through the air-conditioning cloud. Perform matching analysis on the standard comparison spectrum data group and output the analysis results;

In addition, the above-mentioned logical instructions in the memory 430 can be implemented in the form of software functional units 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 application is essentially or the part that contributes to the existing technology 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, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code. .

On the other hand, the present application also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can Execute the air conditioning fault detection method provided by each of the above methods, which includes:

On the other hand, the present application also provides a non-transitory computer-readable storage medium on which a computer program is stored. The computer program is implemented when executed by the processor to perform the air-conditioning fault detection method provided by each of the above methods. The method includes :

The device embodiments described above are only illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in One location, or it can be distributed across multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Persons of ordinary skill in the art can understand and implement the method without any creative effort.

Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the part of the above technical solution that essentially 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, magnetic disk, optical disk, etc., including a number of instructions to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent substitutions are made to some of the technical features; however, these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions in the embodiments of the present application.

Claims

An air conditioner fault detection method, including:

Obtain multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state, and multiple operating spectrum data groups in the running state;

Compare the multiple shutdown spectrum data groups with the multiple operating spectrum data groups to obtain the target comparison spectrum data group;

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 results;

Based on the analysis results, it is determined whether there is an abnormality in the air conditioning operating system and prompts the user.
The air conditioner fault detection method according to claim 1, wherein the obtaining of multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state and multiple operating spectrum data groups in the operating state includes:

Collect the first outdoor temperature, the first indoor temperature and the first user setting data of the air conditioner outdoor unit in the shutdown state under different conditions;

Collect the second outdoor temperature, the second indoor temperature and the second user setting data of the air conditioner outdoor unit under different conditions in operation;

Acquire multiple shutdown spectrum data groups based on the first outdoor temperature, the first indoor temperature and the first user setting data under different situations, and obtain multiple shutdown spectrum data groups based on the second outdoor temperature, the second indoor temperature and the second user setting data under different situations. operating spectrum data set;

Wherein, the operating spectrum data set includes the operating frequency of the air conditioner in the current operating state and the sound pressure level corresponding to the operating frequency.
The air conditioning fault detection method according to claim 1, wherein the multiple shutdown spectrum data groups and the multiple operating spectrum data groups are compared to obtain the target comparison spectrum data group, including:

Based on the second outdoor temperature, the second indoor temperature and the second user setting data of each of the operating spectrum data groups, and the first outdoor temperature, the first indoor temperature and the first user setting data of each of the shutdown spectrum data groups. The data is matched and compared to obtain multiple comparative spectrum data groups;

Select a target operating spectrum data group from a plurality of 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 among the plurality of comparison spectrum data groups.
The air-conditioning fault detection method according to claim 1, wherein the matching and analysis of the target comparison spectrum data group through the air-conditioning cloud and the output of the analysis results include:

Match and analyze the target comparison spectrum data group and the preset standard spectrum group through the air-conditioning cloud;

Obtain a reference spectrum data group corresponding to the target comparison spectrum data group in the standard spectrum group;

Wherein, the reference outdoor temperature, the reference indoor temperature and the reference user setting data of the reference spectrum data group are in one-to-one correspondence with the second outdoor temperature, the second indoor temperature and the second user setting data of the target comparison spectrum data group;

Difference data between the sound pressure level corresponding to the operating frequency of the target comparison spectrum data group and the sound pressure level corresponding to the operating frequency of the reference spectrum data group are obtained, and the difference data is output as an analysis result.
The air conditioning fault detection method according to claim 4, wherein determining whether there is an abnormality in the air conditioning operating system based on the analysis results and prompting the user includes:

Match the operating frequency of the target comparison spectrum data group with the preset abnormality determination data group, and perform abnormality determination on the air conditioning operating 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, it is confirmed that the air conditioning operating system is abnormal and prompts the user, allowing the user to confirm based on the operating frequency There is an abnormality in the fan module or compressor module of the air conditioning operating system.
The air conditioning fault detection method according to claim 5, wherein the operating frequency of the target comparison spectrum data group is matched with a preset abnormality determination data group, and an abnormality determination is made on the air conditioning operating system based on the difference data. After that, it also includes:

When 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 operating system is normal.
An air conditioner fault detection device, including:

An acquisition unit is used to acquire multiple shutdown spectrum data groups of the air conditioner outdoor unit in the shutdown state, and multiple operating spectrum data groups in the operating state;

A comparison unit, used to compare the multiple shutdown spectrum data groups and the multiple operating spectrum data groups. Compare rows to obtain the target comparison spectrum data set;

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 the analysis results;

A determination unit is configured to determine whether there is an abnormality in the air conditioning operating system based on the analysis results and prompt the user.
An air conditioner includes an indoor unit, an outdoor unit, a processor and a memory provided in the indoor unit or outdoor unit; and also includes a program or instructions stored on the memory and executable on the processor, wherein , when the program or instruction is executed by the processor, the air conditioning fault detection method according to any one of claims 1 to 6 is executed.
An electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, any one of claims 1 to 6 is implemented. The air conditioner fault detection method described in the item.
A non-transitory computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the air-conditioning fault detection method according to any one of claims 1 to 6 is implemented.
A computer program product includes a computer program, wherein when the computer program is executed by a processor, the air conditioning fault detection method according to any one of claims 1 to 6 is implemented.