CN115978713A - Air conditioner fault detection method, device, equipment and storage medium - Google Patents

Air conditioner fault detection method, device, equipment and storage medium Download PDF

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Publication number
CN115978713A
CN115978713A CN202211644014.8A CN202211644014A CN115978713A CN 115978713 A CN115978713 A CN 115978713A CN 202211644014 A CN202211644014 A CN 202211644014A CN 115978713 A CN115978713 A CN 115978713A
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air conditioner
fault
operation data
data
time
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王芳
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TCL Air Conditioner Wuhan Co Ltd
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TCL Air Conditioner Wuhan Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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Abstract

The application provides an air conditioner fault detection method, device, equipment and storage medium, which are characterized in that after a fault error signal of an air conditioner is responded, air conditioner operation data within a preset time length corresponding to the fault error signal are obtained; determining air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and an operation data threshold corresponding to the fault reporting signal; and then determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time. The technical scheme of determining the fault reason by experience and combination of current air conditioner operation parameters in the prior art is abandoned, the accuracy of analyzing the fault reason of the air conditioner is improved, and the maintenance difficulty of the air conditioner is further reduced.

Description

Air conditioner fault detection method, device, equipment and storage medium
Technical Field
The application relates to the technical field of air conditioners, in particular to a method, a device, equipment and a storage medium for detecting air conditioner faults.
Background
When the air conditioner is in failure due to various environmental factors in the using process, the failure information is generally reported to an air conditioner management system so that management personnel can maintain the air conditioner. At present, maintenance personnel generally need to analyze the fault reason of the air conditioner in advance when the air conditioner is maintained so as to perform maintenance based on the fault reason, however, the fault reason analysis generally needs to analyze the air conditioner data, and due to the large data volume and the diversity of the fault reason, the maintenance personnel generally determine the fault reason through experience and combination of current air conditioner operation parameters, so that the accuracy of fault reason analysis is low, and the difficulty of air conditioner maintenance is increased.
Disclosure of Invention
The application provides an air conditioner fault detection method, device, equipment and storage medium, and aims to solve the problems that the air conditioner fault reason analysis accuracy rate is low, the air conditioner maintenance difficulty is increased, and the air conditioner fault analysis accuracy rate is improved.
In a first aspect, the present application provides an air conditioner fault detection method, including:
responding to a fault reporting signal of an air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
determining air conditioner fault time corresponding to the air conditioner error according to the air conditioner operation data and an operation data threshold corresponding to the fault error signal;
and determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
In a possible implementation manner of the present application, determining an air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and an operation data threshold corresponding to the fault reporting signal includes:
determining abnormal data in the air conditioner operation data according to the data distribution information of the air conditioner operation data;
determining target abnormal data in the abnormal data according to a difference relation between the abnormal data and an operation data threshold corresponding to the fault error signal;
and determining the air conditioner fault time corresponding to the error report of the air conditioner according to the time information corresponding to the target abnormal data.
In a possible implementation manner of the present application, the determining abnormal data in the air-conditioning operation data according to the data distribution information of the air-conditioning operation data includes:
calculating the air conditioner operation data according to a preset box diagram algorithm to generate a first box diagram;
if abnormal data are not obtained on the basis of the first boxplot, dividing the air conditioner operation data according to time information corresponding to the air conditioner operation data to obtain first operation data corresponding to a first time period and second operation data corresponding to a second time period;
calculating the first operation data according to a preset boxline graph algorithm to obtain a second boxline graph, and calculating the second operation data according to a preset boxline graph algorithm to obtain a third boxline graph;
and determining abnormal data in the air conditioner operation data according to the second box line graph and the third box line graph.
In a possible implementation manner of the present application, the determining, according to a difference relationship between the abnormal data and an operation data threshold corresponding to the fault error signal, target abnormal data in the abnormal data includes:
comparing the abnormal data with an operation data threshold value corresponding to the fault error signal;
and if any abnormal data is larger than the operating data threshold value, determining the abnormal data larger than the operating data threshold value as target abnormal data.
In a possible implementation manner of the present application, the determining, according to the time information corresponding to the target abnormal data, the air conditioner fault time corresponding to the air conditioner error report includes:
if the target abnormal data comprises at least two target abnormal data, acquiring time information corresponding to each target abnormal data;
and determining the failure time of the air conditioner according to the time interval between the time information corresponding to each target abnormal data and the time information responding to the failure error reporting signal.
In a possible implementation manner of the present application, responding to a fault error signal of an air conditioner, obtaining air conditioner operation data within a preset time period corresponding to the fault error signal includes:
responding to a fault reporting signal of an air conditioner, and acquiring an air conditioner identifier and a fault type corresponding to the fault reporting signal;
searching a preset database, and acquiring a data type corresponding to the fault type;
and acquiring air conditioner operation data in the preset database corresponding to the air conditioner identification within the preset time corresponding to the data type.
In a possible implementation manner of the present application, responding to a fault error signal of an air conditioner, before acquiring air conditioner operation data within a preset time period corresponding to the fault error signal, the method further includes:
when air conditioner operation data are received, determining a target sub-database to be stored according to an air conditioner identifier of an air conditioner as a source of the air conditioner operation data and the data type of the air conditioner operation data;
and storing the time information of the air conditioner operation data correspondingly acquired to the target sub-database.
In a second aspect, the present application further provides an air conditioner fault detection apparatus, including:
a response acquisition module: the system comprises a fault reporting signal generator, a fault detection module and a fault analysis module, wherein the fault reporting signal generator is used for responding to a fault reporting signal of an air conditioner and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
a data processing module: the fault reporting device is used for determining the fault time of the air conditioner corresponding to the fault reporting according to the air conditioner operation data and the operation data threshold corresponding to the fault reporting signal;
a fault determination module: and the fault reason corresponding to the fault error reporting signal is determined according to the environmental parameters corresponding to the air conditioner fault time.
In a third aspect, the present application further provides an air conditioner fault detection apparatus, including:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement any of the air conditioner fault detection methods.
In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program is loaded by a processor to execute the steps in any one of the air conditioner fault detection methods.
The application provides an air conditioner fault detection method, device, equipment and storage medium, and the method comprises the steps of obtaining air conditioner operation data within a preset time length corresponding to a fault error signal after responding to the fault error signal of an air conditioner; determining air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and an operation data threshold corresponding to the fault reporting signal; and then determining a fault reason corresponding to the fault error reporting signal according to the environmental parameters corresponding to the fault time of the air conditioner. This application is through detecting fault error signal back, acquires this fault error signal corresponding time length air conditioner operation data in presetting promptly, carries out failure analysis through the air conditioner operation data of saving in advance, increases the analysis volume of air conditioner operation data, guarantees failure analysis's comprehensiveness and rationality, then according to the time information that air conditioner operation data corresponds with the operation data threshold value that fault error signal corresponds, follow confirm the unusual time that corresponds of operation data among the operation parameter, confirm air conditioner fault time, then carry out the analysis to the environmental parameter that air conditioner fault time corresponds, confirm the fault reason who arouses air conditioner trouble, guarantee analysis data's comprehensiveness and rationality, abandon simultaneously among the prior art through experience and combine current air conditioner operation parameter to carry out the technical scheme that the fault reason was confirmed, promote the fault reason analysis's of air conditioner accuracy, and then reduce the air conditioner maintenance degree of difficulty.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic view of a scene of an air conditioner fault detection method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating an embodiment of a method for detecting air conditioner faults provided in an embodiment of the present application;
fig. 3 is a schematic flow chart of one embodiment of determining an air conditioner fault time in an air conditioner fault detection method provided in an embodiment of the present application;
fig. 4 is a schematic flowchart of one embodiment of determining abnormal data in the air conditioner fault detection method provided in the embodiment of the present application;
fig. 5 is a schematic flowchart of one embodiment of determining abnormal data in a method for detecting an air conditioner fault according to an embodiment of the present disclosure;
fig. 6 is a schematic flow chart of one embodiment of air conditioner operation data acquisition in the air conditioner fault detection method according to the embodiment of the present application;
fig. 7 is a schematic flow chart of another embodiment of a method for detecting an air conditioner fault according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an embodiment of an air conditioner fault detection device provided in an embodiment of the present application;
fig. 9 is a schematic structural diagram of an embodiment of an air conditioner fault detection device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not shown in detail to avoid obscuring the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
The embodiments of the present application provide a method, an apparatus, a device and a storage medium for detecting air conditioner faults, which are described in detail below.
The air conditioner fault detection method is applied to an air conditioner fault detection device, the air conditioner fault detection device is arranged on air conditioner fault detection equipment, one or more processors, a memory and one or more application programs are arranged in the air conditioner fault detection equipment, and the one or more application programs are stored in the memory and configured to be executed by the processor to realize the air conditioner fault detection method; the air conditioner fault detection device may be a terminal, such as a mobile phone or a tablet computer, and the air conditioner fault detection device may also be a server, or a service cluster formed by a plurality of servers, or a master air conditioner connected with a plurality of child air conditioners, wherein the master air conditioner performs fault cause analysis on faults generated by the child air conditioners.
As shown in fig. 1, fig. 1 is a scene schematic diagram of an air conditioner fault detection method according to an embodiment of the present disclosure, where an air conditioner fault detection scene includes an air conditioner fault detection device 100 (an air conditioner fault detection device is integrated in the air conditioner fault detection device 100), and a computer readable storage medium (also referred to as a storage medium for short) corresponding to air conditioner fault detection is operated in the air conditioner fault detection device 100 to perform a step of air conditioner fault detection.
It can be understood that the air conditioner fault detection device in the scenario of the air conditioner fault detection method shown in fig. 1, or the apparatuses included in the air conditioner fault detection device, do not constitute a limitation to the embodiment of the present invention, that is, the number of apparatuses and the types of apparatuses included in the scenario of the air conditioner fault detection method, or the number of apparatuses and the types of apparatuses included in each apparatus do not affect the overall implementation of the technical solution in the embodiment of the present invention, and may be calculated as an equivalent replacement or a derivative of the technical solution claimed in the embodiment of the present invention.
The air conditioner fault detection device 100 in the embodiment of the present invention is mainly used for: responding to a fault reporting signal of an air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal; determining air conditioner fault time corresponding to the air conditioner error according to the air conditioner operation data and an operation data threshold corresponding to the fault error signal; and determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
The air conditioner fault detection device 100 in the embodiment of the present invention may be an independent air conditioner fault detection device, or may be an air conditioner fault detection device network or an air conditioner fault detection device cluster formed by air conditioner fault detection devices, for example, the air conditioner fault detection device 100 described in the embodiment of the present invention includes, but is not limited to, a computer, a network host, a single network air conditioner fault detection device, a plurality of network air conditioner fault detection device sets, or a cloud air conditioner fault detection device formed by a plurality of air conditioner fault detection devices. Among them, the Cloud air-conditioning fault detection apparatus is composed of a large number of computers based on Cloud Computing (Cloud Computing) or a network air-conditioning fault detection apparatus.
Those skilled in the art can understand that the application environment shown in fig. 1 is only one application scenario of the present application, and does not constitute a limitation on the application scenario of the present application, and other application environments may further include more or less air conditioner fault detection devices than that shown in fig. 1, or a network connection relationship of the air conditioner fault detection devices, for example, only 1 air conditioner fault detection device is shown in fig. 1, and it can be understood that the scenario of the air conditioner fault detection method may further include one or more other air conditioner fault detection devices, which is not limited herein; the air conditioner fault detection device 100 may further include a memory for storing data, for example, air conditioner operation parameters, an air conditioner identifier, and the like, which are communicated with the air conditioner fault detection device 100.
In addition, in the scene of the air conditioner fault detection method, the air conditioner fault detection device 100 may be provided with a display device, or the air conditioner fault detection device 100 is not provided with a display device in communication connection with the external display device 200, and the display device 200 is used for outputting a result executed by the air conditioner fault detection method in the air conditioner fault detection device. The air conditioner fault detection device 100 may access the background database 300 (the background database may be in a local memory of the air conditioner fault detection device, and may also be set in the cloud), and information related to air conditioner fault detection is stored in the background database 300, for example, air conditioner operating parameters, an air conditioner identifier, and the like are stored in the background database 300.
It should be noted that the scene schematic diagram of the air conditioner fault detection method shown in fig. 1 is only an example, and the scene of the air conditioner fault detection method described in the embodiment of the present invention is for more clearly illustrating the technical solution of the embodiment of the present invention, and does not constitute a limitation on the technical solution provided in the embodiment of the present invention.
Based on the scene of the air conditioner fault detection method, the embodiment of the air conditioner fault detection method is provided.
As shown in fig. 2, which is a schematic flow chart of an embodiment of an air conditioner fault detection method in the embodiment of the present application, the air conditioner fault detection method includes steps S201 to S203:
s201, responding to a fault reporting signal of the air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal.
The fault error signal, that is, fault error information generated when the air conditioner has a fault, may be, for example, a fault code, a fault type, and the like, and it can be understood that the fault code is a preset fault code corresponding to different fault types.
The preset time is used for limiting the quantity of the air conditioner operation data for analyzing the fault reason, namely, if the preset time is three days, the air conditioner operation data in the preset time is the air conditioner operation data collected in the previous three days for responding the time corresponding to the fault error reporting signal of the air conditioner as a time end point. It is understood that the preset time period may be set according to actual requirements, such as a week, a month, and the like, and the specific application is not limited thereto.
The air conditioner operation data, that is, the air conditioner operation data corresponding to the fault type corresponding to the fault error signal, for example, if the fault type corresponding to the fault error signal may be a temperature detection fault, obtaining temperature detection data within a preset time period, that is, the temperature detection data is an air conditioner operation parameter; it can be understood that the air conditioner operation parameters may be different data corresponding to different fault types, for example, the air conditioner operation parameters may also be compressor operation parameters corresponding to a compressor fault (fault type), fan operation parameters corresponding to a fan fault, and the like.
It can be understood that the air conditioner operation data carries time information, that is, the time information of the operation data is acquired and determined when the air conditioner operation data is acquired.
Specifically, in the embodiment of the present application, the air conditioner fault detection method is applied to an air conditioner fault detection device, where the air conditioner fault detection device is specifically a background management device of an air conditioner, such as a computer, a mobile phone, and the like, and is configured to receive a fault error signal communicated with the air conditioner fault detection device and receive air conditioner operation data uploaded by the air conditioner.
Specifically, air conditioner fault detection equipment responds the fault error signal of air conditioner after receiving the fault error signal that the air conditioner sent, acquires the air conditioner operating data in the time length of predetermineeing that fault error signal corresponds, and is concrete, according to fault code (fault error signal) confirms the fault type, acquires the air conditioner operating data in the time length of predetermineeing that fault error signal corresponds, specifically, acquires air conditioner operating data's implementation mode this application does not do specific restriction, for example:
in one embodiment of the present application, after receiving a fault error signal sent by an air conditioner, an air conditioner fault detection device responds to the fault error signal of the air conditioner, determines a fault type of the fault code (fault error signal), and then searches a database according to the fault type to obtain air conditioner operation data corresponding to the fault type of the air conditioner (the air conditioner sending the fault error signal) within a preset time period.
In some other embodiments of the present application, after receiving a fault error signal sent by an air conditioner, an air conditioner fault detection device determines a fault type according to a fault code (fault error signal) in response to the fault error signal of the air conditioner, determines a data type of air conditioner operation data corresponding to the fault type, and then sends an air conditioner data acquisition request carrying the data type to a target air conditioner corresponding to the air conditioner identifier, where the data type is a data type of air conditioner operation data to be acquired; and receiving air conditioner operation data within a preset time length fed back by the target air conditioner.
S202, determining air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and the operation data threshold corresponding to the fault reporting signal.
The operation data threshold, that is, the preset operation data threshold of the fault type corresponding to the air conditioner (the air conditioner with the fault error signal sent, that is, the air conditioner with the fault) is used to determine whether the operation data of the air conditioner is abnormal, and corresponding experimental verification and acquisition can be performed according to different air conditioners and fault types of the air conditioner.
The failure time, that is, the time when the air conditioner fails, may be a time point or a time period. It can be understood that, when the air conditioner is out of order, generating a fault code, that is, generating a fault error signal, is an accumulation process of an air conditioner operation data abnormality, and may generate the fault error signal only when the accumulation reaches a certain value, and further, a time error may exist in the sending time and the response time of the fault error signal, so that the air conditioner operation data abnormality needs to be analyzed to determine the actual time of the air conditioner fault.
Specifically, after the air conditioner fault detection device detects and responds to a fault error reporting signal of an air conditioner and acquires air conditioner operation data within a preset time period corresponding to the fault error reporting signal, according to the air conditioner operation data and an operation data threshold corresponding to the fault error reporting signal, air conditioner fault time corresponding to the fault error reporting of the air conditioner is determined, specifically, for example:
in some embodiments of the present application, the air conditioner fault detection device compares the air conditioner operation data with the operation data threshold respectively to obtain abnormal data in the air conditioner operation data, and determines air conditioner fault time according to time information corresponding to the abnormal data, for example, selects one of the time information corresponding to the abnormal data as air conditioner fault time, or generates a minimum time interval including all the time information according to the time information corresponding to the abnormal data, and uses the minimum time interval as air conditioner fault time.
In other embodiments of the present application, the air conditioner fault detection device analyzes and searches the air conditioner operation data through a preset abnormal value algorithm or model to obtain abnormal data in the air conditioner operation data, and determines the air conditioner fault time according to time information corresponding to the abnormal data, for example, one of the time information corresponding to the abnormal data is selected as the air conditioner fault time, or a minimum time interval including all the time information is generated according to the time information corresponding to the abnormal data and is used as the air conditioner fault time.
S203, determining a fault reason corresponding to the fault error signal according to the environment parameter corresponding to the air conditioner fault time.
The environmental parameter, which affects the fault corresponding to the fault time of the air conditioner, may be, for example, an ambient temperature, an ambient humidity, an air quality, or the like; it can be understood that the corresponding relationship between the environmental parameters that affect the fault may be preset, that is, the environmental parameters and the fault type are associated, that is, the environmental parameters corresponding to the fault type at the time of the fault of the air conditioner may be obtained after the time of the fault of the air conditioner is determined, and it can be understood that the association between the environmental parameters and the fault type may be changed and edited.
Specifically, the air conditioner fault detection device determines a fault cause corresponding to the fault error signal according to an environmental parameter corresponding to the air conditioner fault time, exemplarily, compares the environmental parameter corresponding to the fault time with a parameter threshold of the environmental parameter (for determining whether the environmental parameter will cause the air conditioner fault corresponding to the fault type), and if the environmental parameter is greater than the parameter threshold, it is indicated that the environmental parameter will cause the air conditioner fault corresponding to the fault type, that is, the environmental parameter greater than the parameter threshold is a fault cause.
Specifically, in this application embodiment, air conditioner trouble detection equipment is according to air conditioner operational data with the operational data threshold value that fault report signal corresponds confirms behind the air conditioner fault time that the air conditioner report error corresponds, acquire the environmental parameter that air conditioner fault time corresponds, it is right the environmental parameter that air conditioner fault time corresponds carries out data analysis, and then confirms the fault reason that fault report error signal corresponds.
It can be understood that the environmental parameters corresponding to the fault types may include a plurality of environmental parameters, that is, in one embodiment of the present application, after determining the fault cause corresponding to the fault error-reporting signal according to the environmental parameters corresponding to the fault time of the air conditioner, the air conditioner fault detection device accumulates the environmental parameters corresponding to the fault cause, and if the statistical number of the environmental parameters corresponding to the fault cause in a preset time period is less than a preset statistical number threshold, feeds back an association update prompt of the environmental parameters and the fault types, which is used to prompt a user to optimize an association relationship between the environmental parameters and the fault types, or the air conditioner fault detection device automatically deletes the association relationship between the environmental parameters and the fault types, where the statistical number is less than the association relationship between the environmental parameters and the fault types corresponding to the preset statistical number threshold; illustratively, the fault type a and the environmental parameter a, the environmental parameter B and the environmental parameter C have an association relationship respectively, and then the fault reason corresponding to the fault error-reporting signal is determined according to the environmental parameter corresponding to the air conditioner fault time, including analyzing the environmental parameter a, the environmental parameter B and the environmental parameter C corresponding to the air conditioner fault time, determining that the fault reason is related to the environmental parameter a, counting the environmental parameter a for a number of times, and if the counted number of times of the environmental parameter C within a preset time period is less than 1 (a counted number threshold), deleting the association relationship between the environmental parameter C and the fault type a, that is, when the fault reason corresponding to the fault type a is analyzed next time, analyzing the data based on the environmental parameter a and the environmental parameter B having an association relationship with the fault type a, so as to improve the data analysis efficiency.
Further, on the basis of the above embodiments, referring to fig. 3, fig. 3 is a schematic flow chart of one embodiment of determining an air conditioner fault time in the air conditioner fault detection method provided in the embodiment of the present application, and the method includes steps S301 to S303:
s301, determining abnormal data in the air conditioner operation data according to the data distribution information of the air conditioner operation data.
The data distribution information may be a normal distribution map, a box plot, or the like, and is used for analyzing abnormal data in the air conditioner operation data, and it is understood that the data distribution information may be determined as abnormal data by determining outlier data in the normal distribution map or the box plot.
Specifically, in the embodiment of the present application, the data distribution information is a box diagram, and the air conditioner fault detection device performs calculation and analysis on the air conditioner operation data according to a preset box diagram algorithm after acquiring the air conditioner operation data within a preset time period corresponding to the fault error signal, so as to obtain the box diagram of the air conditioner operation data and acquire an outlier in the box diagram, where the outlier is abnormal data in the air conditioner operation data.
S302, determining target abnormal data in the abnormal data according to the difference relation between the abnormal data and the operation data threshold corresponding to the fault error signal.
The operation data threshold, that is, the threshold used for determining whether abnormal data is actually abnormal, may be understood that the abnormal data is abnormal data in the data distribution information, and it is further determined whether the abnormal data is abnormal data that actually affects an air conditioner fault through the abnormal data threshold. That is, it can be understood that the target operation data is abnormal data that actually affects the air conditioner malfunction.
The difference relationship may be a magnitude relationship, a relationship whether the phases are the same, and the like, and the difference relationship is different thresholds according to different air conditioner operation parameters, and the specific application is not limited specifically.
Specifically, in the embodiment of the present application, determining target abnormal data in the abnormal data according to a difference relationship between the abnormal data and an operation data threshold corresponding to the fault error signal specifically includes:
(1) Comparing the abnormal data with an operation data threshold corresponding to the fault error signal;
(2) And if any abnormal data is larger than the operating data threshold value, determining the abnormal data larger than the operating data threshold value as target abnormal data.
That is, after acquiring abnormal data, the air conditioner fault detection device compares the abnormal data with an operation data threshold corresponding to the abnormal data, and if abnormal data larger than the operation data threshold exists, determines that the abnormal data larger than the operation data threshold is target abnormal data.
It can be understood that, in some other embodiments of the present application, if there is target abnormal data, determining an air conditioner fault time corresponding to an error report of the air conditioner according to the target abnormal data; and determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
In other embodiments of the present application, if there is no target abnormal data, the air conditioner operation data is divided to obtain operation data corresponding to a plurality of different time periods; and calculating the operation data corresponding to each time period according to a preset box plot algorithm to obtain a box plot of the operation data corresponding to each time period, and determining target abnormal data in the air conditioner operation data according to the abnormal data in the box plot of the operation data corresponding to each time period.
And S303, determining the air conditioner fault time corresponding to the air conditioner error report according to the time information corresponding to the target abnormal data.
The time information corresponding to the abnormal data, that is, the time information for acquiring the abnormal data, may be understood that the abnormal data is one of the operation data in the air conditioner operation data, that is, the time information for acquiring the operation data, and it may be understood that the time information carries the number of the operation users, or the acquisition time of each data in the air conditioner operation data corresponds to each operation data for performing associated storage, and after it is determined that the target abnormal data is clear, the time information corresponding to the target abnormal data may be directly acquired.
Specifically, the air conditioner fault detection device determines, according to the time information corresponding to the target abnormal data, a specific implementation manner of the air conditioner fault time corresponding to the air conditioner error report, which is not specifically limited in the last year, for example, one of the time information corresponding to the abnormal data is selected as the air conditioner fault time, or a minimum time interval including all the time information is generated according to the time information corresponding to the abnormal data and is used as the air conditioner fault time.
Further, on the basis of the above embodiment, referring to fig. 4, fig. 4 is a schematic flow chart of one embodiment of determining abnormal data in the air conditioner fault detection method provided in the embodiment of the present application, including steps S401 to S404:
s401, calculating the air conditioner operation data according to a preset box line graph algorithm to generate a first box line graph.
The preset box line graph algorithm can be a preset box line graph algorithm model, and the first box line graph can be obtained by inputting the air conditioner operation data into the box line graph algorithm model.
The first box diagram is a box diagram calculated according to all air conditioner operation parameters within a preset time period.
Specifically, after responding to a fault error signal of an air conditioner and acquiring air conditioner operation data within a preset time period corresponding to the fault error signal, the air conditioner fault detection device inputs the air conditioner operation data within the preset time period into a preset box line diagram preset algorithm model to obtain a corresponding first box line diagram.
S402, if abnormal data are not obtained based on the first boxplot, dividing the air conditioner operation data according to time information corresponding to the air conditioner operation data to obtain first operation data corresponding to a first time period and second operation data corresponding to a second time period.
And the total duration corresponding to the first time period and the second time period is preset duration.
Specifically, the air conditioner fault detection device inputs air conditioner operation data within a preset time period into a preset box line graph algorithm model, after a corresponding first box line graph is obtained, an outlier in the first box line graph is not detected, that is, abnormal data is not detected, a bisection method is adopted to divide the air conditioner operation data within the preset time period, the air conditioner operation data is divided into first operation data corresponding to a first time period and second operation data corresponding to a second time period, and specifically, the air conditioner operation data is divided into the first operation data corresponding to the first time period and the second operation data corresponding to the second time period according to a time midpoint of time information corresponding to the air conditioner operation data included in the preset time period.
It is to be understood that, in some other embodiments of the present application, the air conditioner operation data may not be divided from a time midpoint corresponding to the time information corresponding to the preset time period, or the air conditioner operation data may be divided into first operation data corresponding to the first time period, second operation data corresponding to the second time period, and third operation data corresponding to the third time period, where the present application is not limited specifically.
S403, calculating the first operation data according to a preset boxplot algorithm to obtain a second boxplot, and calculating the second operation data according to a preset boxplot algorithm to obtain a third boxplot.
Further, the air conditioner fault detection device does not obtain abnormal data based on the first box diagram, divides the air conditioner operation data according to time information corresponding to the air conditioner operation data to obtain first operation data corresponding to a first time period and second operation data corresponding to a second time period, and then inputs the first operation data and the second operation data into a preset box diagram algorithm model to obtain a second box diagram corresponding to the first operation data and a third box diagram corresponding to the second operation data.
S404, determining abnormal data in the air conditioner operation data according to the second box line diagram and the three box line diagram.
Further, after obtaining a second box line diagram and the third box line diagram, the air conditioner fault detection device detects an outlier in the second box line diagram and an outlier in the third box line diagram as detected abnormal data; it is to be understood that the abnormality data may include abnormality data detected from the second box line drawing or abnormality data detected from the third box line drawing, and may also include abnormality data detected from the second box line drawing and abnormality data detected from the third box line drawing.
Further, in some other embodiments of the present application, if no abnormal data is detected based on the second box line diagram and the third box line diagram, the first operating data and the second operating data may be further divided into operating data corresponding to a smaller time period, which may be specifically designed according to actual requirements.
Further, in some other embodiments of the present application, if no abnormal data has been detected based on the second box plot and the third box plot, a data analysis error message is fed back to the client.
In the embodiment, when abnormal data are not obtained through the first box line graph obtained based on the air conditioner operation data within the preset time, the situation that the upper edge value and/or the lower edge value in the box line graph obtained through calculation according to the preset box line graph calculation model are too large and abnormal detection cannot be achieved due to the fact that the data size is too large can occur, so that the air conditioner operation data are divided, the difference precision of the abnormal data is enhanced, and the accuracy of fault analysis is further improved.
Further, on the basis of the above embodiments, referring to fig. 5, fig. 5 is a schematic flow chart of one embodiment of determining abnormal data in the air conditioner fault detection method provided in the embodiment of the present application, including steps S501 to S502:
s501, if the target abnormal data comprise at least two target abnormal data, acquiring time information corresponding to each target abnormal data.
Specifically, the air conditioner fault detection device determines abnormal data in the air conditioner operation data according to data distribution information of the air conditioner operation data; after determining target abnormal data in the abnormal data according to a difference relationship between the abnormal data and an operation data threshold corresponding to the fault error signal, if the target abnormal data includes at least two pieces of target abnormal data, time information corresponding to each piece of target abnormal data is acquired, and it can be understood that the time information corresponding to the target abnormal data, that is, acquisition time of the target abnormal data, corresponds to the target abnormal data (that is, one piece of data in the air conditioner operation data) and is stored.
S502, determining air conditioner fault time according to the time interval between the time information corresponding to each target abnormal data and the time information responding to the fault error reporting signal.
And responding to the time information of the fault error signal, namely acquiring the time of the air conditioner operation data within a preset time length.
Specifically, after acquiring time information corresponding to each target abnormal data, the air conditioner fault detection device calculates a time interval between each time information and the time information responding to the fault error signal, and determines a specific implementation manner of the air conditioner fault time according to the time interval, which is not specifically limited in the present application, for example:
in one embodiment of the present application, after the air conditioner fault detection device calculates a time interval between each piece of time information and the time information responding to the fault error signal, the time interval between each piece of time information and the time information responding to the fault error signal determines that the time information corresponding to the target abnormal data corresponding to the minimum time interval is the air conditioner fault time.
In one embodiment of the present application, after the air-conditioning fault detection device calculates a time interval between each of the time information and the time information responding to the fault error signal, the air-conditioning fault detection device determines time information corresponding to target abnormal data corresponding to the time interval within a preset time interval as the determined air-conditioning fault time, that is, it may be understood that the air-conditioning fault time may include a plurality of time intervals.
Further, on the basis of the above embodiments, referring to fig. 6, fig. 6 is a schematic flow chart of one embodiment of the air conditioner operation data acquisition in the air conditioner fault detection method provided in the embodiment of the present application, and the method includes steps S601 to S603:
s601, responding to a fault error signal of the air conditioner, and acquiring an air conditioner identifier and a fault type corresponding to the fault error signal.
The air conditioner identifier is identification information of the air conditioner, such as an air conditioner ID, a first and second serial number of the air conditioner, and the like.
Specifically, the air conditioner fault detection device determines the air conditioner identifier of the air conditioner with a fault according to the source air conditioner of the fault error signal after receiving the fault error signal, and further determines the fault type of the fault error signal according to the fault error signal by searching a preset mapping table, or obtains the fault type by analyzing the fault error signal, or obtains the fault type and the air conditioner identifier by analyzing the fault error signal.
S602, searching a preset database, and acquiring a data type corresponding to the fault type.
In an embodiment of the present application, the preset database is a non-relational database (NoSQL), the preset database includes a plurality of data tables, and a mapping relationship between a same set of data tables is provided.
Specifically, after responding to a fault error signal of an air conditioner and acquiring an air conditioner identifier and a fault type corresponding to the fault error signal, the air conditioner fault detection device searches a preset type mapping table corresponding to the type and the data type in a preset database according to the fault type, and determines the data type corresponding to the fault type and the air conditioner operation data within a preset time length corresponding to the data type.
S603, air conditioner operation data within a preset time corresponding to the data type in the preset database corresponding to the air conditioner identification are obtained.
Further, the air conditioner fault detection device searches a preset data mapping table corresponding to the identifier, the data type and the operation data in the preset database, or the air conditioner operation data within a preset time length corresponding to the air conditioner identifier and the data type.
It can be understood that the air conditioner operation data in the preset data mapping table is updated in real time according to a preset time length, that is, in the embodiment of the present application, the air conditioner operation data in the preset data mapping table may be deleted and newly added along with the lapse of time, for example, the preset time length is 7 days, the air conditioner operation data in the preset data mapping table only retains the air conditioner operation data in seven days before the current time, and it can be understood that if no corresponding air conditioner operation data is detected in one day in seven days (possibly, no air conditioner is turned on), the air conditioner operation data in the preset data mapping table only actually has six days of air conditioner operation data.
In other embodiments of the present application, the air conditioner operation data in the preset data mapping table may not retain the data corresponding to the preset time duration, and the air conditioner fault detection device further screens the air conditioner operation data with the preset time duration after acquiring the air conditioner operation data in the preset data mapping table.
Further, on the basis of the above embodiments, referring to fig. 7, fig. 7 is a schematic flow chart of another embodiment of the air conditioner fault detection method provided in the examples of the present application, including steps S701 to S705:
s701, when air conditioner operation data are received, determining a target sub database to be stored according to an air conditioner identifier of an air conditioner as a source of the air conditioner operation data and the data type of the air conditioner operation data.
Wherein the data type is, for example, outdoor temperature data, indoor temperature data, compressor frequency, etc.
The target sub-database is a data table in the preset data, and specifically, in the embodiment of the present application, the target sub-database is a preset data mapping table. Specifically, it can be understood that the preset data mapping table includes an air conditioner identifier, a data type, and air conditioner operation data.
Specifically, when receiving air conditioner operation data, the air conditioner fault detection device searches a preset database according to an air conditioner identifier of an air conditioner from which the air conditioner operation data comes and a data type of the air conditioner operation data, and determines a target sub-database corresponding to the air conditioner identifier and the data type of the air conditioner operation data, that is, determines a preset data mapping table to be updated.
S702, storing the time information of the air conditioner operation data acquired correspondingly to the air conditioner operation data in the target sub-database.
Further, after determining a target sub-database, the air conditioner fault detection device stores the air conditioner operation data in the target sub-database, and adds the air conditioner operation data to the preset data mapping table corresponding to the acquisition time of the air conditioner operation data.
S703, responding to a fault reporting signal of the air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
s704, determining air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and an operation data threshold corresponding to the fault reporting signal;
s705, determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
Wherein, the specific implementation manner of steps S703-S705 is described in any of the above embodiments.
It can be understood that in the embodiment of the application, the fact of the air conditioner operation data is uploaded, updated and stored in the preset database, so that the problem that the data cannot be reproduced and the fault analysis is influenced is avoided.
Further, in some other embodiments of the present application, if the failure cause corresponding to the failure error signal cannot be determined according to the environmental parameter corresponding to the air conditioner failure time, that is, the environmental parameter is a normal parameter and does not cause an air conditioner failure, the failure cause is determined to be an equipment failure of a detection device that detects an air conditioner operation parameter.
It can be further understood that the air conditioner fault detection device responds to a fault error reporting signal of an air conditioner and acquires air conditioner operation data within a preset time length corresponding to the fault error reporting signal; determining air conditioner fault time corresponding to the air conditioner error according to the air conditioner operation data and an operation data threshold corresponding to the fault error signal; determining a fault reason corresponding to the fault error reporting signal according to the environmental parameter corresponding to the air conditioner fault time, and then determining fault position solving information according to the fault reason; and generating a feedback report corresponding to the fault error reporting signal according to the fault reason and the fault processing solution information, and sending the feedback report to the client, so that maintenance personnel can conveniently perform maintenance processing according to the report.
The embodiment provides an air conditioner fault detection method, which comprises the steps of obtaining air conditioner operation data within a preset time length corresponding to a fault error signal after responding to the fault error signal of an air conditioner; determining air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and an operation data threshold corresponding to the fault reporting signal; and then determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time. According to the method and the device, after a fault error reporting signal is detected, the preset time length of air conditioner operation data corresponding to the fault error reporting signal is obtained, namely, fault analysis is carried out through the air conditioner operation data stored in advance, the analysis amount of the air conditioner operation data is increased, the comprehensiveness and the reasonability of the fault analysis are guaranteed, then according to the time information corresponding to the air conditioner operation data and the operation data threshold value corresponding to the fault error reporting signal, the time corresponding to the abnormality of the operation data is determined in the operation parameters, the fault time of the air conditioner is determined, then the environment parameters corresponding to the fault time of the air conditioner are analyzed, the fault reason causing the fault of the air conditioner is determined, the comprehensiveness and the reasonability of the analysis data are guaranteed, meanwhile, the technical scheme that the fault reason is determined through experience and the combination of the current air conditioner operation parameters in the prior art is abandoned, the accuracy of the fault reason analysis of the air conditioner is improved, and the maintenance difficulty of the air conditioner is reduced.
In order to better implement the air conditioner fault detection method in the embodiment of the present application, on the basis of the air conditioner fault detection method, an air conditioner fault detection device is further provided in the embodiment of the present application, as shown in fig. 8, the air conditioner fault detection device includes modules 801 to 803:
the response acquisition module 801: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for responding to a fault reporting signal of an air conditioner and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
the data processing module 802: the fault reporting device is used for determining the fault time of the air conditioner corresponding to the fault reporting according to the air conditioner operation data and the operation data threshold corresponding to the fault reporting signal;
the failure determination module 803: and the fault reason corresponding to the fault error reporting signal is determined according to the environmental parameters corresponding to the air conditioner fault time.
In one embodiment of the present application, the data processing module 802: the method is used for determining the air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and the operation data threshold corresponding to the fault reporting signal, and specifically comprises the following steps:
determining abnormal data in the air conditioner operation data according to the data distribution information of the air conditioner operation data;
determining target abnormal data in the abnormal data according to a difference relation between the abnormal data and an operation data threshold corresponding to the fault error reporting signal;
and determining the air conditioner fault time corresponding to the error report of the air conditioner according to the time information corresponding to the target abnormal data.
In one embodiment of the present application, the data processing module 802: the method is used for determining abnormal data in the air conditioner operation data according to the data distribution information of the air conditioner operation data, and specifically comprises the following steps:
calculating the air conditioner operation data according to a preset box diagram algorithm to generate a first box diagram;
if the abnormal data is not obtained based on the first boxplot, dividing the air conditioner operation data according to the time information corresponding to the air conditioner operation data to obtain first operation data corresponding to a first time period and second operation data corresponding to a second time period;
calculating the first operation data according to a preset boxline graph algorithm to obtain a second boxline graph, and calculating the second operation data according to a preset boxline graph algorithm to obtain a third boxline graph;
and determining abnormal data in the air conditioner operation data according to the second box line graph and the three box line graphs.
In one embodiment of the present application, the data processing module 802: the method is used for determining target abnormal data in the abnormal data according to a difference relation between the abnormal data and an operation data threshold value corresponding to the fault error signal, and specifically includes the following steps:
comparing the abnormal data with an operation data threshold corresponding to the fault error signal;
and if any abnormal data is larger than the operating data threshold value, determining the abnormal data larger than the operating data threshold value as target abnormal data.
In one embodiment of the present application, the data processing module 802: the method is used for determining the air conditioner fault time corresponding to the air conditioner error report according to the time information corresponding to the target abnormal data, and specifically comprises the following steps:
if the target abnormal data comprises at least two target abnormal data, acquiring time information corresponding to each target abnormal data;
and determining the fault time of the air conditioner according to the time interval between the time information corresponding to each target abnormal data and the time information responding to the fault error-reporting signal.
In one embodiment of the present application, the response obtaining module 801: the method is used for responding to a fault error signal of the air conditioner, acquiring air conditioner operation data within a preset time length corresponding to the fault error signal, and specifically comprises the following steps:
responding to a fault reporting signal of an air conditioner, and acquiring an air conditioner identifier and a fault type corresponding to the fault reporting signal;
searching a preset database, and acquiring a data type corresponding to the fault type;
and acquiring air conditioner operation data in the preset database corresponding to the air conditioner identification within the preset time corresponding to the data type.
In one embodiment of the present application, the response obtaining module 801: before the fault error signal for responding to the air conditioner and acquiring the air conditioner operation data within the preset time length corresponding to the fault error signal, the method further comprises the following steps:
when receiving air conditioner operation data, determining a target sub database to be stored according to an air conditioner identifier of an air conditioner from which the air conditioner operation data comes and the data type of the air conditioner operation data;
and storing the time information of the air conditioner operation data, which is acquired correspondingly to the air conditioner operation data, into the target sub-database.
The embodiment provides an air conditioner fault detection device, which is used for acquiring air conditioner operation data within a preset time length corresponding to a fault error signal after responding to the fault error signal of an air conditioner; determining air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and an operation data threshold corresponding to the fault reporting signal; and then determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time. This application is through detecting fault error signal back, acquires this fault error signal corresponding time length air conditioner operation data in presetting promptly, carries out failure analysis through the air conditioner operation data of saving in advance, increases the analysis volume of air conditioner operation data, guarantees failure analysis's comprehensiveness and rationality, then according to the time information that air conditioner operation data corresponds with the operation data threshold value that fault error signal corresponds, follow confirm the unusual time that corresponds of operation data among the operation parameter, confirm air conditioner fault time, then carry out the analysis to the environmental parameter that air conditioner fault time corresponds, confirm the fault reason who arouses air conditioner trouble, guarantee analysis data's comprehensiveness and rationality, abandon simultaneously among the prior art through experience and combine current air conditioner operation parameter to carry out the technical scheme that the fault reason was confirmed, promote the fault reason analysis's of air conditioner accuracy, and then reduce the air conditioner maintenance degree of difficulty.
An embodiment of the present invention further provides an air conditioner fault detection device, as shown in fig. 9, fig. 9 is a schematic structural diagram of an embodiment of the air conditioner fault detection device provided in the embodiment of the present application.
The air conditioner fault detection device integrates any air conditioner fault detection device provided by the embodiment of the invention, and comprises:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to perform the steps of the air conditioner fault detection method in any of the above embodiments of the air conditioner fault detection method.
Specifically, the method comprises the following steps: the air conditioner fault detection apparatus may include components such as a processor 901 of one or more processing cores, a memory 902 of one or more computer-readable storage media, a power supply 903, and an input unit 904. Those skilled in the art will appreciate that the configuration of the air conditioner fault detection apparatus shown in fig. 9 does not constitute a limitation of the air conditioner fault detection apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 901 is a control center of the air conditioner fault detection device, connects various parts of the whole air conditioner fault detection device by using various interfaces and lines, and executes various functions and processes data of the air conditioner fault detection device by running or executing software programs and/or modules stored in the memory 902 and calling data stored in the memory 902, thereby performing overall monitoring on the air conditioner fault detection device. Optionally, processor 901 may include one or more processing cores; preferably, the processor 901 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 901.
The memory 902 may be used to store software programs and modules, and the processor 901 executes various functional applications and data processing by operating the software programs and modules stored in the memory 902. The memory 902 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the air conditioner fault detection apparatus, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 902 may also include a memory controller to provide the processor 901 access to the memory 902.
In some embodiments of the present application, the air conditioning control apparatus may be implemented in the form of a computer program that is executable on the air conditioning fault detection device shown in fig. 9. The memory of the air conditioner fault detection apparatus may store various program modules constituting the air conditioner control device, such as a response acquisition module 801, a data processing module 802, and a fault determination module 803 shown in fig. 8. The computer program constituted by the respective program modules causes the processor to execute the steps in the air conditioning control method of the respective embodiments of the present application described in the present specification.
For example, the air conditioner malfunction detection apparatus shown in fig. 9 may perform step S201 by the response acquisition module 801 in the air conditioning control device shown in fig. 8. The air conditioner fault detection apparatus may perform step S202 through the data processing module 802. The air conditioner malfunction detection apparatus may perform step S203 by the malfunction determination module 803. The air conditioner fault detection device includes a processor, a memory, and a network interface connected through a system bus. Wherein, the processor of the air conditioner fault detection device is used for providing calculation and control capability. The memory of the air conditioner fault detection apparatus includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the air conditioner fault detection device is used for being connected and communicated with an external air conditioner fault detection device through a network. The computer program is executed by a processor to implement an air conditioning control method.
The air conditioner fault detection device further comprises a power supply 903 for supplying power to each component, and preferably, the power supply 903 can be logically connected with the processor 901 through a power management system, so that functions of charging, discharging, power consumption management and the like can be managed through the power management system. The power supply 903 may also include any component including one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The air conditioner malfunction detection apparatus may further include an input unit 904, and the input unit 904 may be used to receive input numeric or character information and generate a keyboard, mouse, joystick, optical or trackball signal input related to user setting and function control.
Although not shown, the air conditioner fault detection apparatus may further include a display unit and the like, which will not be described herein. Specifically, in this embodiment, the processor 901 in the air conditioner fault detection device loads an executable file corresponding to a process of one or more application programs into the memory 902 according to the following instructions, and the processor 901 runs the application programs stored in the memory 902, so as to implement various functions as follows:
responding to a fault reporting signal of an air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
determining air conditioner fault time corresponding to the air conditioner error according to the air conditioner operation data and an operation data threshold corresponding to the fault error signal;
and determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present invention provides a computer-readable storage medium, which may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like. The computer program is loaded by a processor to execute the steps of any air conditioner fault detection method provided by the embodiment of the invention. For example, the computer program may be loaded by a processor to perform the steps of:
responding to a fault reporting signal of an air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
determining air conditioner fault time corresponding to the air conditioner error according to the air conditioner operation data and an operation data threshold corresponding to the fault error signal;
and determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed descriptions of other embodiments, and are not described herein again.
In a specific implementation, each unit or structure may be implemented as an independent entity, or may be combined arbitrarily to be implemented as one or several entities, and the specific implementation of each unit or structure may refer to the foregoing method embodiment, which is not described herein again.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
The air conditioner fault detection method, device, equipment and storage medium provided by the embodiments of the present application are described in detail above, and a specific example is applied in the present application to explain the principle and the implementation of the present invention, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. An air conditioner fault detection method is characterized by comprising the following steps:
responding to a fault reporting signal of an air conditioner, and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
determining air conditioner fault time corresponding to the air conditioner error according to the air conditioner operation data and an operation data threshold corresponding to the fault error signal;
and determining a fault reason corresponding to the fault error reporting signal according to the environment parameter corresponding to the air conditioner fault time.
2. The method for detecting air conditioner faults according to claim 1, wherein the determining the air conditioner fault time corresponding to the air conditioner fault according to the air conditioner operation data and the operation data threshold corresponding to the fault reporting signal comprises:
determining abnormal data in the air conditioner operation data according to the data distribution information of the air conditioner operation data;
determining target abnormal data in the abnormal data according to a difference relation between the abnormal data and an operation data threshold corresponding to the fault error signal;
and determining the air conditioner fault time corresponding to the air conditioner error report according to the time information corresponding to the target abnormal data.
3. The method for detecting the air conditioner fault according to claim 2, wherein the determining abnormal data in the air conditioner operation data according to the data distribution information of the air conditioner operation data comprises:
calculating the air conditioner operation data according to a preset box diagram algorithm to generate a first box diagram;
if the abnormal data is not obtained based on the first boxplot, dividing the air conditioner operation data according to the time information corresponding to the air conditioner operation data to obtain first operation data corresponding to a first time period and second operation data corresponding to a second time period;
calculating the first operation data according to a preset boxline graph algorithm to obtain a second boxline graph, and calculating the second operation data according to a preset boxline graph algorithm to obtain a third boxline graph;
and determining abnormal data in the air conditioner operation data according to the second box line graph and the third box line graph.
4. The method for detecting air conditioner faults as claimed in claim 2, wherein the determining target abnormal data in the abnormal data according to the difference relationship between the abnormal data and the operation data threshold corresponding to the fault error signal comprises:
comparing the abnormal data with an operation data threshold corresponding to the fault error signal;
and if any abnormal data is larger than the operating data threshold value, determining the abnormal data larger than the operating data threshold value as target abnormal data.
5. The method for detecting the air conditioner fault according to claim 2, wherein the determining the air conditioner fault time corresponding to the air conditioner fault according to the time information corresponding to the target abnormal data comprises:
if the target abnormal data comprises at least two target abnormal data, acquiring time information corresponding to each target abnormal data;
and determining the fault time of the air conditioner according to the time interval between the time information corresponding to each target abnormal data and the time information responding to the fault error-reporting signal.
6. The method for detecting the fault of the air conditioner according to claim 1, wherein the step of responding to a fault reporting signal of the air conditioner and acquiring the operation data of the air conditioner within a preset time period corresponding to the fault reporting signal comprises the following steps:
responding to a fault error signal of an air conditioner, and acquiring an air conditioner identifier and a fault type corresponding to the fault error signal;
searching a preset database, and acquiring a data type corresponding to the fault type;
and acquiring air conditioner operation data in the preset database corresponding to the air conditioner identification within the preset time corresponding to the data type.
7. The method according to any one of claims 1 to 6, wherein before the step of responding to the fault error signal of the air conditioner and acquiring the air conditioner operation data within the preset time period corresponding to the fault error signal, the method further comprises:
when air conditioner operation data are received, determining a target sub-database to be stored according to an air conditioner identifier of an air conditioner as a source of the air conditioner operation data and the data type of the air conditioner operation data;
and storing the time information of the air conditioner operation data correspondingly acquired to the target sub-database.
8. An air conditioner fault detection apparatus, characterized in that the air conditioner fault detection apparatus includes:
a response acquisition module: the system comprises a fault reporting signal generator, a fault detection module and a fault analysis module, wherein the fault reporting signal generator is used for responding to a fault reporting signal of an air conditioner and acquiring air conditioner operation data within a preset time length corresponding to the fault reporting signal;
a data processing module: the fault reporting device is used for determining the fault time of the air conditioner corresponding to the fault reporting according to the air conditioner operation data and the operation data threshold corresponding to the fault reporting signal;
a fault determination module: and the fault reason corresponding to the fault error reporting signal is determined according to the environmental parameters corresponding to the air conditioner fault time.
9. An air conditioner malfunction detection apparatus, characterized by comprising:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the air conditioner fault detection method of any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program, which is loaded by a processor, to perform the steps of the air conditioner fault detection method according to any one of claims 1 to 7.
CN202211644014.8A 2022-12-20 2022-12-20 Air conditioner fault detection method, device, equipment and storage medium Pending CN115978713A (en)

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CN202211644014.8A CN115978713A (en) 2022-12-20 2022-12-20 Air conditioner fault detection method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211644014.8A CN115978713A (en) 2022-12-20 2022-12-20 Air conditioner fault detection method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN115978713A true CN115978713A (en) 2023-04-18

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Country Status (1)

Country Link
CN (1) CN115978713A (en)

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