Power supply fault detection method and system for air conditioning equipment

Abstract

The invention relates to a power supply fault detection method and system for air conditioning equipment, and the method comprises the steps: obtaining a mainboard voltage detection value, a transformer voltage detection value and a plug voltage detection value of the air conditioning equipment in a power-on state, and carrying out the data cleaning processing, and obtaining the preprocessed air conditioning operation data, drawing a power supply phase waveform among a mainboard, a transformer and a power plug of the air conditioning equipment, analyzing a power supply phase sequence balance relation of the air conditioning equipment, and analyzing an abnormal power supply phase sequence by combining historical fault data of the air conditioning equipment and the power supply phase sequence balance relation; and according to the analysis result, constructing a power supply fault analysis model for analyzing the power supply fault of the air conditioning equipment, and performing power supply fault analysis on the power supply phase data in the power supply fault state of the air conditioning equipment through the power supply fault analysis model to obtain power supply fault detection data corresponding to the current power supply fault phase. The method has the effect of improving the intelligent degree of power supply fault detection of the air conditioning equipment.

Description

Technical Field

[0001] The present application relates to the technical field of fault detection, and in particular to a method and system for detecting power failure of air-conditioning equipment. Background Art

[0002] At present, air-conditioning equipment is an indispensable part of modern home and office environment. Its normal operation is crucial to the comfort of the indoor environment. Whether the power supply of the air-conditioning equipment can operate normally determines the stability of the use of the air-conditioning equipment. When the power supply of the air-conditioning equipment fails, it cannot be powered on for temperature adjustment. Therefore, the power supply failure detection of the air-conditioning equipment needs to be further improved.

[0003] The existing power failure detection method for air-conditioning equipment usually requires maintenance personnel to carry instruments such as test pens or voltmeters to check the power accessories and sockets of the air-conditioning equipment one by one, and make manual judgments and repairs on the power failure based on the inspection results and the maintenance experience of the maintenance personnel. The traditional power failure detection method needs to rely on the manual experience of the maintenance personnel, is prone to manual judgment errors, and wastes human resources. There is room for further optimization of the air-conditioning failure detection method. Summary of the invention

[0004] In order to improve the intelligence level of power failure detection of air-conditioning equipment and build a unified power failure detection standard for air-conditioning equipment, the present application provides a power failure detection method and system for air-conditioning equipment.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for detecting a power failure of an air conditioner, comprising: The mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air conditioner are respectively obtained when the air conditioner is powered on, and data cleaning is performed to obtain pre-processed air conditioner operation data; Acquire a power phase waveform between a mainboard, a transformer and a power plug of the air conditioner according to the air conditioner operation data, and analyze a power phase sequence balance relationship of the air conditioner according to the power phase waveform; Acquire historical fault data of the air-conditioning equipment, analyze the abnormal power phase sequence in combination with the power phase sequence balance relationship, and construct a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the analysis results; The power phase data of the air conditioner in the power failure state is obtained, and the power phase data is input into the power failure analysis model to perform power failure analysis, so as to obtain power failure detection data corresponding to the current power failure phase.

[0006] By adopting the above technical scheme, the power supply operation parameters of the air-conditioning equipment are fully collected through the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air-conditioning equipment when it is powered on, and invalid interference data is screened out through data cleaning. The power phase sequence balance relationship is analyzed through the power phase waveform between the mainboard, transformer and power plug, which helps to carry out detailed comparison and analysis of key component parameters related to the power phase sequence, improve the analysis accuracy of the power phase sequence balance relationship, and use historical fault data as a reference, combined with the power phase sequence balance relationship to perform abnormal power phase sequence analysis, thereby constructing a power fault analysis model, so as to facilitate more convenient analysis of the power supply fault of the air-conditioning equipment and improve the fault analysis efficiency. The power phase data under the fault state is uniformly analyzed through the model to form a standardized air-conditioning power supply fault detection standard, which helps to improve the intelligence level of power supply fault detection of air-conditioning equipment.

[0007] In a preferred example, the present application can be further configured as follows: the power phase waveform between the mainboard, transformer and power plug of the air conditioner is obtained according to the air conditioner operation data, and the power phase sequence balance relationship of the air conditioner is analyzed according to the power phase waveform, specifically including: According to the air-conditioning operation data, operating phase waveforms of the mainboard, transformer and power plug of the air-conditioning device are drawn respectively, and phase correlation is performed in order of operating time to obtain the power phase waveform of the air-conditioning device; Calculating waveform deviations between adjacent phase waveforms according to the power phase waveform, and analyzing power phase deviation trends of the air-conditioning equipment according to the waveform deviation to obtain phase deviation analysis data; According to the power phase waveform and the phase deviation analysis data, the power phase waveform is divided into a power phase stable group and a power phase unstable group with the initial position of the phase deviation as a boundary; Power phase sequence comparison and analysis were carried out on the stable power phase group and the unstable power phase group respectively. The unbalanced phase sequence characteristics were extracted according to the comparison results. The power phase sequence balance relationship of the air-conditioning equipment was constructed according to the common characteristics between the unbalanced phase sequence characteristics.

[0008] By adopting the above technical scheme, the air-conditioning operation data is plotted into the operation phase waveforms of the mainboard, transformer and power plug of the air-conditioning equipment, which helps to observe the difference in the power supply operation phase more intuitively, and is associated and plotted into the power supply phase waveform in order of operation time. The power supply phase deviation trend analysis is performed by calculating the waveform deviation of adjacent phase waveforms, which helps to improve the analysis accuracy of the power supply phase deviation, and the power supply phase waveform is split with the initial position of the phase deviation as the boundary. The unbalanced phase sequence characteristics are extracted through the joint comparison of the phase stable group and the phase unstable group, and then the power supply phase sequence balance relationship is constructed according to the common characteristics between the unbalanced phase sequence characteristics, which helps to improve the analysis accuracy of the power supply phase sequence balance relationship.

[0009] In a preferred example, the present application can be further configured as follows: the historical fault data of the air-conditioning equipment is obtained, and the abnormal power phase sequence is analyzed in combination with the power phase sequence balance relationship, and a power failure analysis model for analyzing the power failure of the air-conditioning equipment is constructed according to the analysis result, specifically including: Acquire historical fault data of the air-conditioning equipment, use the historical fault data as training samples to perform data training on the power phase sequence balance relationship, and acquire historical unbalanced phase sequence features related to the historical faults according to the training results; According to the historical unbalanced phase sequence characteristics and the corresponding abnormal phase sequence positions, the power phase sequence balance relationship is analyzed for the characteristic commonality of the abnormal power phase sequence characteristics to obtain the characteristic commonality correlation relationship of the abnormal power phase sequence characteristics; According to the characteristic commonality association relationship, a power failure analysis model for analyzing the power failure of the air-conditioning equipment is constructed.

[0010] By adopting the above technical scheme, the historical fault data of the air-conditioning equipment is used as a training sample and substituted into the power phase sequence balance relationship for data training, so as to obtain the historical unbalanced phase sequence characteristics related to the historical faults according to the training results, which is helpful to enrich the training samples of the power phase sequence balance relationship, and through the historical unbalanced phase sequence and an abnormal phase sequence point, the phase sequence point is used as the correlation point to jointly analyze the characteristic commonalities of the abnormal power phase sequence characteristics of the power phase sequence balance relationship, which is helpful to improve the analysis accuracy of the characteristic commonality correlation relationship of the abnormal power phase sequence characteristics, thereby constructing a power failure analysis model that is more in line with the actual situation of the power failure, which is helpful to improve the accuracy of the power failure analysis of the air-conditioning equipment.

[0011] In a preferred example, the present application can be further configured as follows: the power phase data of the air conditioner under the power failure state is obtained, the power phase data is input into the power failure analysis model to perform power failure analysis, and the power failure detection data corresponding to the current power failure phase is obtained, specifically including: Performing phase fitting analysis on the power phase data under the fault state and the power phase sequence balance relationship in the power fault analysis model to obtain abnormal phase sequence characteristics corresponding to the power fault state; Through a preset fault code generation mechanism, the abnormal phase sequence characteristics are processed by fault code conversion to obtain fault code parameters corresponding to the current power supply fault; The fault code parameters are matched with a preset power supply fault library, and the power supply fault type with the highest matching degree is selected to locate the power supply fault, so as to obtain power supply fault detection data corresponding to the current faulty power supply phase.

[0012] By adopting the above technical scheme, the power supply phase data under the fault state and the power supply phase sequence balance relationship in the power supply fault analysis model are phase-fitted, and the abnormal phase sequence characteristics corresponding to the power supply fault state are obtained through the parameter fitting difference of the corresponding phase, which helps to improve the analysis accuracy of the abnormal phase sequence characteristics, and the abnormal phase sequence characteristics are converted into fault codes through a preset fault code generation mechanism, which helps to find the corresponding fault data in the database through fault code parameter comparison, so as to select the power supply fault type with the highest fault code matching degree for fault location, and obtain the power supply fault detection data corresponding to the current faulty power supply phase, which helps to improve the accuracy of fault type judgment and provide an effective reference for power supply fault maintenance.

[0013] In a preferred example, the present application can be further configured as follows: the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value when the air conditioner is powered on are respectively obtained and data cleaning is performed to obtain pre-processed air conditioner operation data, specifically including: Obtaining a mainboard voltage detection value when the air conditioner is powered on, comparing the mainboard voltage detection value with a preset mainboard operating voltage, and obtaining mainboard operating data; Obtain the transformer winding primary voltage and transformer winding secondary voltage respectively, and analyze whether the power transformer of the air-conditioning equipment is in a stable voltage transformation state to obtain transformer operation data; Obtaining a plug voltage detection value corresponding to the power supply of the air-conditioning device, analyzing whether the plug voltage detection value is compatible with a preset rated voltage of the air-conditioning device, and obtaining plug operation data corresponding to the power supply of the air-conditioning device; The mainboard operation data, transformer operation data and plug operation data are respectively cleaned to obtain pre-processed air conditioner operation data.

[0014] By adopting the above technical solution, independent data collection and comparative analysis are performed on the mainboard operation data, transformer operation data and plug operation data of the air-conditioning equipment, so as to carefully check the operation status of key components related to the power failure of the air-conditioning equipment, which helps to improve the accuracy of fault source investigation, and screen out invalid interference data through data cleaning, reduce the data processing workload of power failure detection and analysis, and improve the validity of the data.

[0015] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions: A power failure detection system for air conditioning equipment, comprising: The data acquisition module is used to obtain the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air conditioner when it is powered on and perform data cleaning to obtain the pre-processed air conditioner operation data; A data analysis module, used to obtain a power phase waveform between a mainboard, a transformer and a power plug of the air conditioner according to the air conditioner operation data, and analyze a power phase sequence balance relationship of the air conditioner according to the power phase waveform; A model building module, used to obtain historical fault data of the air-conditioning equipment, analyze the abnormal power phase sequence in combination with the power phase sequence balance relationship, and build a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the analysis results; The fault detection module is used to obtain power phase data of the air-conditioning equipment under power fault state, input the power phase data into the power fault analysis model to perform power fault analysis, and obtain power fault detection data corresponding to the current power fault phase.

[0016] By adopting the above technical scheme, the power supply operation parameters of the air-conditioning equipment are fully collected through the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air-conditioning equipment when it is powered on, and invalid interference data is screened out through data cleaning. The power phase sequence balance relationship is analyzed through the power phase waveform between the mainboard, transformer and power plug, which helps to carry out detailed comparison and analysis of key component parameters related to the power phase sequence, improve the analysis accuracy of the power phase sequence balance relationship, and use historical fault data as a reference, combined with the power phase sequence balance relationship to perform abnormal power phase sequence analysis, thereby constructing a power fault analysis model, so as to facilitate more convenient analysis of the power supply fault of the air-conditioning equipment and improve the fault analysis efficiency. The power phase data under the fault state is uniformly analyzed through the model to form a standardized air-conditioning power supply fault detection standard, which helps to improve the intelligence level of power supply fault detection of air-conditioning equipment.

[0017] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the power failure detection method for the air-conditioning device are implemented.

[0018] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the power failure detection method for the air-conditioning equipment are implemented.

[0019] In summary, the present application includes at least one of the following beneficial technical effects: 1. Through the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air-conditioning equipment in the power-on state, the power supply operation parameters of the air-conditioning equipment are collected in an all-round manner, and invalid interference data is screened out through data cleaning. The power phase sequence balance relationship is analyzed through the power phase waveform between the mainboard, transformer and power plug, which is helpful for detailed comparison and analysis of key component parameters related to the power phase sequence, and improves the analysis accuracy of the power phase sequence balance relationship. With historical fault data as a reference, abnormal power phase sequence analysis is performed in combination with the power phase sequence balance relationship, so as to construct a power fault analysis model, so as to facilitate more convenient analysis of the power supply fault of the air-conditioning equipment and improve the fault analysis efficiency. Through the model, the power phase data under the fault state is uniformly analyzed to form a standardized air-conditioning power fault detection standard, which is helpful to improve the intelligent level of power fault detection of air-conditioning equipment; 2. Plotting the air-conditioning operation data into the operation phase waveforms of the mainboard, transformer and power plug of the air-conditioning equipment helps to observe the difference in the power operation phase more intuitively, and plotting them into the power phase waveform in order of operation time. The power phase deviation trend analysis is performed by calculating the waveform deviation of adjacent phase waveforms, which helps to improve the analysis accuracy of the power phase deviation. The power phase waveform is split based on the initial position where the phase deviation occurs as the boundary, and the unbalanced phase sequence characteristics are extracted by jointly comparing the phase stable group and the phase unstable group. Then, the power phase sequence balance relationship is constructed based on the common characteristics between the unbalanced phase sequence characteristics, which helps to improve the analysis accuracy of the power phase sequence balance relationship; 3. Use the historical fault data of air-conditioning equipment as training samples and substitute them into the power phase sequence balance relationship for data training, so as to obtain the historical unbalanced phase sequence characteristics related to the historical faults according to the training results, which is helpful to enrich the training samples of the power phase sequence balance relationship, and through the historical unbalanced phase sequence and an abnormal phase sequence point, with the phase sequence point as the association point, the power phase sequence balance relationship is jointly analyzed for the characteristic commonality of the abnormal power phase sequence characteristics, which is helpful to improve the analysis accuracy of the characteristic commonality association relationship of the abnormal power phase sequence characteristics, thereby constructing a power failure analysis model that is more in line with the actual situation of power failure, which is helpful to improve the accuracy of power failure analysis of air-conditioning equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a flow chart of an implementation method of a power failure detection method for air conditioning equipment in this embodiment.

[0021] Figure 2 This is a flowchart for implementing step S10 of a power failure detection method for air-conditioning equipment in this embodiment.

[0022] Figure 3 This is a flowchart for implementing step S20 of a power failure detection method for air-conditioning equipment in this embodiment.

[0023] Figure 4 This is a flowchart for implementing step S30 of a power failure detection method for air conditioning equipment in this embodiment.

[0024] Figure 5 This is a flowchart of the implementation of step S40 of a power failure detection method for air conditioning equipment in this embodiment.

[0025] Figure 6 This is a structural block diagram of a power failure detection system for air conditioning equipment in this embodiment.

[0026] Figure 7 The invention is a schematic diagram of the internal structure of a computer device for realizing a power failure detection method of an air conditioning device. DETAILED DESCRIPTION

[0027] The present application is further described in detail below in conjunction with the accompanying drawings.

[0028] In one embodiment, if Figure 1 As shown, the present application discloses a method for detecting power failure of air conditioning equipment, which specifically includes the following steps: S10: respectively obtaining a mainboard voltage detection value, a transformer voltage detection value, and a plug voltage detection value when the air conditioner is powered on, and performing data cleaning processing to obtain pre-processed air conditioner operation data.

[0029] Specifically, Figure 2As shown, step S10 includes: S101: Obtain a mainboard voltage detection value when the air-conditioning device is powered on, and compare the mainboard voltage detection value with a preset mainboard operating voltage to obtain mainboard operating data.

[0030] Specifically, when the air-conditioning equipment is powered on, the mainboard voltage detection value is collected through a multimeter and compared with the preset mainboard operating voltage. Based on the comparison result, it is determined whether the mainboard voltage meets the preset operating voltage. If it meets the preset operating voltage, it means that the mainboard voltage is operating normally. The mainboard voltage detection value under normal operating status is used as the mainboard operating data.

[0031] S102: Obtain the transformer winding primary voltage and the transformer winding secondary voltage respectively, and analyze whether the power transformer of the air-conditioning equipment is in a stable voltage transformation state to obtain transformer operation data.

[0032] Specifically, the transformer winding primary voltage and the transformer winding secondary voltage are collected through a multimeter, and the voltage change of the power transformer is analyzed based on the winding primary voltage and the winding secondary voltage to determine whether it is in a stable voltage transformation state, and the transformer operation data of the stable voltage transformation is collected to obtain the transformer operation data.

[0033] S103: Obtaining a plug voltage detection value corresponding to the power supply of the air-conditioning device, analyzing whether the plug voltage detection value is compatible with a preset rated voltage of the air-conditioning device, and obtaining plug operation data corresponding to the power supply of the air-conditioning device.

[0034] Specifically, the plug voltage detection value corresponding to the power supply of the air-conditioning equipment is obtained through a multimeter, the collected plug voltage detection value is compared and analyzed with the preset rated voltage of the air-conditioning equipment, and the plug voltage detection value that matches the preset rated voltage is used as the plug operation data of the power supply operation.

[0035] S104: performing data cleaning processing on the mainboard operation data, the transformer operation data and the plug operation data respectively to obtain pre-processed air conditioner operation data.

[0036] Specifically, data that does not match the corresponding rated voltage value in the mainboard operation data, the transformer operation data, and the plug operation data are screened out, thereby obtaining preprocessed air conditioner operation data.

[0037] S20: acquiring a power phase waveform between a mainboard, a transformer and a power plug of the air-conditioning device according to the air-conditioning operation data, and analyzing a power phase sequence balance relationship of the air-conditioning device according to the power phase waveform.

[0038] Specifically, Figure 3 As shown, step S20 includes: S201: operating phase waveforms of a mainboard, a transformer and a power plug of the air conditioner are respectively drawn according to the air conditioner operating data, and phase correlation is performed in order of operating time to obtain a power phase waveform of the air conditioner.

[0039] Specifically, the operating phase waveforms of the mainboard, transformer and power plug of the air-conditioning equipment are drawn respectively according to the air-conditioning operating data, and the phases of the mainboard, transformer and power plug are associated in the order of operating time to obtain the power phase waveform of the power operation of the air-conditioning equipment.

[0040] S202: Calculate waveform deviations between adjacent phase waveforms based on the power phase waveform, and analyze the power phase deviation trend of the air-conditioning equipment based on the waveform deviation to obtain phase deviation analysis data.

[0041] Specifically, the waveform deviation between adjacent phase waveforms is calculated based on the power phase waveform, and the power phase deviation change of the air-conditioning equipment is analyzed in order of operating time, so as to obtain the power phase deviation trend of the air-conditioning equipment, and use the power phase deviation trend as phase deviation analysis data.

[0042] S203: According to the power phase waveform and the phase deviation analysis data, the power phase waveform is divided into a power phase stable group and a power phase unstable group with the initial position of the phase deviation as a boundary.

[0043] Specifically, according to the power supply phase waveform and the phase deviation analysis data, the phase point where the phase deviation begins to occur is marked as the phase deviation initial position, and the power supply phase waveform is split into a power supply phase stable group and a power supply phase unstable group based on the phase deviation initial position. At the same time, the phase deviation analysis data corresponding to the power supply phase stable group and the power supply phase unstable group are grouped respectively.

[0044] S204: performing power phase sequence comparison analysis on the power phase stable group and the power phase unstable group respectively, extracting unbalanced phase sequence features according to the comparison results, and constructing a power phase sequence balance relationship of the air-conditioning equipment according to the common features between the unbalanced phase sequence features.

[0045] Specifically, a power phase sequence comparison analysis is performed on the unstable power phase group and the stable power phase group. The unbalanced phase sequence characteristics that are different from those in the stable power phase group are extracted according to the comparison results, and the common characteristics between the unbalanced phase sequence characteristics are analyzed to obtain the power phase sequence balance relationship of the air-conditioning equipment.

[0046] S30: Acquire historical fault data of the air-conditioning equipment, analyze the abnormal power phase sequence in combination with the power phase sequence balance relationship, and construct a power fault analysis model for analyzing the power fault of the air-conditioning equipment according to the analysis result.

[0047] Specifically, Figure 4 As shown, step S30 includes: S301: Acquire historical fault data of the air-conditioning equipment, perform data training on the power phase sequence balance relationship using the historical fault data as training samples, and acquire historical unbalanced phase sequence features related to the historical faults according to the training results.

[0048] Specifically, historical fault data is extracted from the historical maintenance database of the air-conditioning equipment, and the historical fault data is used as training samples and substituted into the power phase sequence balance relationship for data training. The unbalanced phase sequence features in the historical fault data are screened according to the training results, so as to obtain the historical unbalanced phase sequence features related to the historical faults.

[0049] S302: According to the historical unbalanced phase sequence characteristics and the corresponding abnormal phase sequence positions, a characteristic commonality analysis of the abnormal power phase sequence characteristics is performed on the power phase sequence balance relationship to obtain a characteristic commonality correlation relationship of the abnormal power phase sequence characteristics.

[0050] Specifically, according to the historical unbalanced phase sequence characteristics and the corresponding abnormal phase sequence points, the phase sequence points are used as correlation points to analyze the abnormal power supply phase sequence characteristics of the power supply phase sequence balance relationship, and the characteristic common parameters of the abnormal power supply phase sequence characteristics are extracted to perform characteristic commonality correlation relationship analysis to obtain the characteristic commonality correlation relationship of the abnormal power supply phase sequence characteristics.

[0051] S303: Constructing a power failure analysis model for analyzing power failure of the air-conditioning equipment according to the feature commonality association relationship.

[0052] Specifically, a power failure analysis model is constructed for the data framework according to the commonality association relationship of the features, and a unified analysis standard for power failure analysis is created to analyze the power failure of the air-conditioning equipment.

[0053] S40: Acquire power phase data of the air-conditioning device in a power failure state, input the power phase data into a power failure analysis model to perform power failure analysis, and obtain power failure detection data corresponding to the current power failure phase.

[0054] Specifically, Figure 5 As shown, step S40 includes: S401: Perform phase fitting analysis on the power phase data under the fault state and the power phase sequence balance relationship in the power fault analysis model to obtain abnormal phase sequence characteristics corresponding to the power fault state.

[0055] Specifically, the power supply phase data under the fault state is input into the power supply fault analysis model, and phase fitting is performed with the power supply phase sequence balance relationship in the power supply fault analysis model. According to the fitting results, the abnormal phase sequence characteristic parameters that do not conform to the power supply phase sequence balance relationship are extracted to obtain the abnormal phase sequence characteristics corresponding to the power supply fault state.

[0056] S402: The abnormal phase sequence characteristics are processed by fault code conversion through a preset fault code generation mechanism to obtain fault code parameters corresponding to the current power supply fault.

[0057] Specifically, the abnormal phase sequence characteristics are converted into fault codes through a threshold fault code generation mechanism, and the comparison steps between the abnormal phase sequence characteristic parameters are reduced through the fault code parameters.

[0058] S403: Perform fault code matching processing on the fault code parameters and the preset power supply fault library, and select the power supply fault type with the highest matching degree to locate the power supply fault, so as to obtain the power supply fault detection data corresponding to the current faulty power supply phase.

[0059] Specifically, the fault code parameters are matched with the preset power supply fault database, and the power supply fault type with the highest matching degree is selected from the database to locate the power supply fault, and the fault type corresponding to the current power supply fault is obtained, thereby obtaining the power supply fault detection data corresponding to the current faulty power supply phase.

[0060] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0061] In one embodiment, a power failure detection system for air conditioning equipment is provided, and the power failure detection system for air conditioning equipment corresponds one-to-one to the power failure detection method for air conditioning equipment in the above embodiment. Figure 6 As shown, the power supply fault detection system of the air-conditioning equipment includes a data acquisition module, a data analysis module, a model building module and a fault detection module. The detailed description of each functional module is as follows: The data acquisition module is used to obtain the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value when the air-conditioning equipment is powered on and perform data cleaning processing to obtain pre-processed air-conditioning operation data.

[0062] The data analysis module is used to obtain the power phase waveform between the mainboard, transformer and power plug of the air-conditioning equipment according to the air-conditioning operation data, and analyze the power phase sequence balance relationship of the air-conditioning equipment according to the power phase waveform.

[0063] The model building module is used to obtain the historical fault data of the air-conditioning equipment, analyze the abnormal power phase sequence in combination with the power phase sequence balance relationship, and build a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the analysis results.

[0064] The fault detection module is used to obtain the power phase data of the air-conditioning equipment under the power fault state, input the power phase data into the power fault analysis model to perform power fault analysis, and obtain the power fault detection data corresponding to the current power fault phase.

[0065] Preferably, the data analysis module specifically includes: The phase analysis submodule is used to draw the operating phase waveforms of the mainboard, transformer and power plug of the air-conditioning equipment according to the air-conditioning operation data, and to perform phase correlation in the order of operation time to obtain the power phase waveform of the air-conditioning equipment.

[0066] The deviation analysis submodule is used to calculate the waveform deviation between adjacent phase waveforms based on the power phase waveform, and analyze the power phase deviation trend of the air-conditioning equipment based on the waveform deviation to obtain phase deviation analysis data.

[0067] The data grouping submodule is used to analyze data according to the power phase waveform and the phase deviation, and to split the power phase waveform into a power phase stable group and a power phase unstable group based on the initial position of the phase deviation.

[0068] The relationship building submodule is used to perform power phase sequence comparison analysis on the power phase stable group and the power phase unstable group respectively, extract the unbalanced phase sequence characteristics according to the comparison results, and build the power phase sequence balance relationship of the air-conditioning equipment according to the common characteristics between the unbalanced phase sequence characteristics.

[0069] Preferably, the model building module specifically includes: The data training submodule is used to obtain the historical fault data of the air-conditioning equipment, use the historical fault data as training samples to perform data training on the power phase sequence balance relationship, and obtain the historical unbalanced phase sequence characteristics related to the historical faults based on the training results.

[0070] The commonality analysis submodule is used to perform characteristic commonality analysis of abnormal power phase sequence characteristics on the power phase sequence balance relationship based on historical unbalanced phase sequence characteristics and corresponding abnormal phase sequence locations, and obtain characteristic commonality correlation relationships of abnormal power phase sequence characteristics.

[0071] The model building submodule is used to build a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the commonality association relationship of the features.

[0072] Preferably, the fault detection module specifically includes: The abnormal analysis submodule is used to perform phase fitting analysis on the power phase data under the fault state and the power phase sequence balance relationship in the power fault analysis model to obtain the abnormal phase sequence characteristics corresponding to the power fault state.

[0073] The data transcoding submodule is used to convert the abnormal phase sequence characteristics into fault codes through a preset fault code generation mechanism to obtain fault code parameters corresponding to the current power supply fault.

[0074] The fault location submodule is used to match the fault code parameters with the preset power supply fault library, and select the power supply fault type with the highest matching degree to locate the power supply fault, and obtain the power supply fault detection data corresponding to the current faulty power supply phase.

[0075] Preferably, the data acquisition module specifically includes: The mainboard data acquisition submodule is used to obtain the mainboard voltage detection value when the air-conditioning equipment is powered on, compare the mainboard voltage detection value with the preset mainboard operating voltage, and obtain the mainboard operating data.

[0076] The transformer data acquisition submodule is used to obtain the primary voltage and the secondary voltage of the transformer winding respectively, and analyze whether the power transformer of the air-conditioning equipment is in a stable voltage transformation state to obtain the transformer operation data.

[0077] The plug data acquisition submodule is used to obtain the plug voltage detection value corresponding to the air-conditioning equipment power supply, analyze whether the plug voltage detection value is compatible with the preset rated voltage of the air-conditioning equipment, and obtain the plug operation data corresponding to the air-conditioning equipment power supply.

[0078] The data processing submodule is used to perform data cleaning processing on the mainboard operation data, the transformer operation data and the plug operation data respectively to obtain the pre-processed air conditioner operation data.

[0079] The specific definition of the power failure detection system of the air-conditioning equipment can be found in the definition of the power failure detection method of the air-conditioning equipment mentioned above, which will not be repeated here. Each module in the power failure detection system of the air-conditioning equipment can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0080] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store power failure detection data of the air-conditioning device. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a power failure detection method for the air-conditioning device is implemented.

[0081] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps of a method for detecting a power failure of an air-conditioning device are implemented.

[0082] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0083] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0084] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for detecting power failure of air conditioning equipment, characterized in that: include: The mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air conditioner are respectively obtained when the air conditioner is powered on, and data cleaning is performed to obtain pre-processed air conditioner operation data; Acquire a power phase waveform between a mainboard, a transformer and a power plug of the air conditioner according to the air conditioner operation data, and analyze a power phase sequence balance relationship of the air conditioner according to the power phase waveform; Acquire historical fault data of the air-conditioning equipment, analyze the abnormal power phase sequence in combination with the power phase sequence balance relationship, and construct a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the analysis results; The power phase data of the air conditioner in the power failure state is obtained, and the power phase data is input into the power failure analysis model to perform power failure analysis, so as to obtain power failure detection data corresponding to the current power failure phase.

2. The power failure detection method for air conditioning equipment according to claim 1, characterized in that: The step of obtaining a power phase waveform between a mainboard, a transformer and a power plug of the air conditioner according to the air conditioner operation data, and analyzing a power phase sequence balance relationship of the air conditioner according to the power phase waveform, specifically includes: According to the air-conditioning operation data, operating phase waveforms of the mainboard, transformer and power plug of the air-conditioning device are drawn respectively, and phase correlation is performed in order of operating time to obtain a power phase waveform of the air-conditioning device; Calculating waveform deviations between adjacent phase waveforms according to the power phase waveform, and analyzing power phase deviation trends of the air-conditioning equipment according to the waveform deviation to obtain phase deviation analysis data; According to the power phase waveform and the phase deviation analysis data, the power phase waveform is divided into a power phase stable group and a power phase unstable group with the initial position of the phase deviation as a boundary; Power phase sequence comparison and analysis were carried out on the stable power phase group and the unstable power phase group respectively. The unbalanced phase sequence characteristics were extracted according to the comparison results. The power phase sequence balance relationship of the air-conditioning equipment was constructed according to the common characteristics between the unbalanced phase sequence characteristics.

3. The power failure detection method for air conditioning equipment according to claim 1, characterized in that: The acquiring of historical fault data of the air-conditioning equipment and analyzing the abnormal power phase sequence in combination with the power phase sequence balance relationship, and constructing a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the analysis result, specifically includes: Acquire historical fault data of the air-conditioning equipment, use the historical fault data as training samples to perform data training on the power phase sequence balance relationship, and acquire historical unbalanced phase sequence features related to the historical faults according to the training results; According to the historical unbalanced phase sequence characteristics and the corresponding abnormal phase sequence positions, the power phase sequence balance relationship is analyzed for the characteristic commonality of the abnormal power phase sequence characteristics to obtain the characteristic commonality correlation relationship of the abnormal power phase sequence characteristics; According to the characteristic commonality association relationship, a power failure analysis model for analyzing the power failure of the air-conditioning equipment is constructed.

4. The power failure detection method for air conditioning equipment according to claim 1, characterized in that: The acquiring of power phase data of the air conditioner in a power failure state, inputting the power phase data into the power failure analysis model to perform power failure analysis, and obtaining power failure detection data corresponding to the current power failure phase specifically includes: Performing phase fitting analysis on the power phase data under the fault state and the power phase sequence balance relationship in the power fault analysis model to obtain abnormal phase sequence characteristics corresponding to the power fault state; Through a preset fault code generation mechanism, the abnormal phase sequence characteristics are processed by fault code conversion to obtain fault code parameters corresponding to the current power supply fault; The fault code parameters are matched with a preset power supply fault library, and the power supply fault type with the highest matching degree is selected to locate the power supply fault, so as to obtain power supply fault detection data corresponding to the current faulty power supply phase.

5. The power failure detection method for air conditioning equipment according to claim 1, characterized in that: The method of respectively acquiring the mainboard voltage detection value, the transformer voltage detection value and the plug voltage detection value when the air conditioner is powered on and performing data cleaning processing to obtain the pre-processed air conditioner operation data specifically includes: Obtaining a mainboard voltage detection value when the air conditioner is powered on, comparing the mainboard voltage detection value with a preset mainboard operating voltage, and obtaining mainboard operating data; Obtain the transformer winding primary voltage and transformer winding secondary voltage respectively, and analyze whether the power transformer of the air-conditioning equipment is in a stable voltage transformation state to obtain transformer operation data; Obtaining a plug voltage detection value corresponding to the power supply of the air-conditioning device, analyzing whether the plug voltage detection value is compatible with a preset rated voltage of the air-conditioning device, and obtaining plug operation data corresponding to the power supply of the air-conditioning device; The mainboard operation data, transformer operation data and plug operation data are respectively cleaned to obtain pre-processed air conditioner operation data.

6. A power failure detection system for air conditioning equipment, characterized in that: include: The data acquisition module is used to obtain the mainboard voltage detection value, transformer voltage detection value and plug voltage detection value of the air conditioner when it is powered on and perform data cleaning to obtain the pre-processed air conditioner operation data; A data analysis module, used to obtain a power phase waveform between a mainboard, a transformer and a power plug of the air conditioner according to the air conditioner operation data, and analyze a power phase sequence balance relationship of the air conditioner according to the power phase waveform; A model building module, used to obtain historical fault data of the air-conditioning equipment, analyze the abnormal power phase sequence in combination with the power phase sequence balance relationship, and build a power failure analysis model for analyzing the power failure of the air-conditioning equipment according to the analysis results; The fault detection module is used to obtain power phase data of the air-conditioning equipment under power fault state, input the power phase data into the power fault analysis model to perform power fault analysis, and obtain power fault detection data corresponding to the current power fault phase.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the power failure detection method for the air conditioning equipment according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the power failure detection method for air conditioning equipment according to any one of claims 1 to 5 are implemented.

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