Fault analysis method, device and equipment of air conditioner and medium

Abstract

The invention discloses a fault analysis method, device and equipment for an air conditioner and a medium. The method is applied to maintenance equipment and comprises the steps that after communication with a to-be-detected air conditioner is established through near field communication, basic data of the to-be-detected air conditioner is obtained; sending a function test instruction to the to-be-detected air conditioner, and receiving execution data returned by the to-be-detected air conditioner; performing numerical comparison and analysis on the execution data and the basic data according to a function test instruction, and determining fault detection information; and generating a corresponding fault detection report and / or maintenance suggestion according to the fault detection information. By implementing the method, the problem that air conditioner fault detection cannot be efficiently carried out in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioner maintenance, and in particular to a method, device, equipment and medium for analyzing faults of an air conditioner. Background Art

[0002] With the rapid advancement of technology, air conditioners are becoming increasingly prevalent, leading to a corresponding increase in repair needs. When repair personnel visit a customer, they often use the fault codes displayed on the air conditioner's display panel to initially locate the fault, often disassembling the unit and replacing parts. However, the panel's limited display and limited number of fault codes make it difficult for repair personnel to fully understand the air conditioner's operating status and parameters. Furthermore, many faults that impact performance and user experience don't display codes. This makes it difficult to quickly pinpoint the problem, resulting in high repair costs and difficulty, and a poor customer experience. Existing technologies have improved this, such as using aftermarket equipment to obtain parameters through a wired connection. However, this approach is difficult to disassemble and assemble after installation, and operating the outdoor unit at height poses risks, making repairs inconvenient. Alternatively, data can be uploaded to the cloud via Wi-Fi. However, not all air conditioners have Wi-Fi modules, and recording all operating data would place significant pressure on cloud storage. Consequently, manufacturers currently report only fault codes and data, making it difficult to efficiently detect air conditioner faults while meeting actual repair needs. Summary of the Invention

[0003] Embodiments of the present invention provide a method, apparatus, device, and medium for analyzing air conditioner faults, aiming to solve the problem in the prior art of being unable to efficiently perform air conditioner fault detection.

[0004] In the first aspect, an embodiment of the present invention provides a fault analysis method for an air conditioner, which is applied to maintenance equipment, and includes: obtaining basic data of the air conditioner to be detected after establishing communication with the air conditioner to be detected through near-field communication; sending a functional test instruction to the air conditioner to be detected, and receiving execution data returned by the air conditioner to be detected; numerically comparing and analyzing the execution data with the basic data according to the functional test instruction to determine fault detection information; and generating a corresponding fault detection report and / or maintenance suggestion based on the fault detection information.

[0005] In the second aspect, an embodiment of the present invention also provides a fault analysis device for an air conditioner, which is applied to maintenance equipment, and includes: a communication unit, which is used to obtain basic data of the air conditioner to be detected after establishing communication with the air conditioner to be detected through near-field communication; a sending unit, which is used to send a functional test instruction to the air conditioner to be detected, and receive execution data returned by the air conditioner to be detected; an analysis unit, which is used to numerically compare and analyze the execution data with the basic data according to the functional test instruction to determine fault detection information; and a generation unit, which is used to generate a corresponding fault detection report and / or maintenance suggestion based on the fault detection information.

[0006] In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the above method when executing the computer program.

[0007] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the above method can be implemented.

[0008] Embodiments of the present invention provide a method, apparatus, device, and medium for analyzing air conditioner faults. Applicable to maintenance equipment, the method comprises: establishing communication with the air conditioner to be tested via near-field communication (NFC), obtaining basic data of the air conditioner to be tested; sending a functional test command to the air conditioner to be tested, and receiving execution data returned by the air conditioner to be tested; numerically comparing and analyzing the execution data with the basic data according to the functional test command to determine fault detection information; and generating a corresponding fault detection report and / or repair recommendations based on the fault detection information. The embodiments of the present invention establish communication with the air conditioner to be tested via near-field communication, allowing maintenance personnel to establish communication with the air conditioner to be tested simply by bringing the device close to the air conditioner, reducing communication costs. Furthermore, by sending a functional test command to obtain corresponding execution data, and comparing the execution data with the obtained basic air conditioner data, human judgment errors can be effectively reduced. Generating a corresponding test report and / or repair recommendations can help maintenance personnel quickly locate the fault point, reduce the need for high-altitude work, reduce work risks for maintenance personnel, and improve work efficiency, thereby enabling efficient air conditioner fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 A schematic flow chart of a method for analyzing a fault of an air conditioner provided by an embodiment of the present invention;

[0011] Figure 2 A schematic diagram of a first sub-process of a fault analysis method for an air conditioner provided by an embodiment of the present invention;

[0012] Figure 3 A schematic diagram of a second sub-process of the air conditioner fault analysis method provided by an embodiment of the present invention;

[0013] Figure 4A schematic diagram of a third sub-flow of the air conditioner fault analysis method provided by an embodiment of the present invention;

[0014] Figure 5 A schematic diagram of a fourth sub-process of the air conditioner fault analysis method provided by an embodiment of the present invention;

[0015] Figure 6 A schematic diagram of a fifth sub-flow of the air conditioner fault analysis method provided by an embodiment of the present invention;

[0016] Figure 7 A schematic block diagram of a fault analysis device for an air conditioner provided by an embodiment of the present invention;

[0017] Figure 8 A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0020] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0021] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0022] See also Figure 1 , Figure 1A flowchart of a method for analyzing air conditioner faults provided by an embodiment of the present invention is provided. The method for analyzing air conditioner faults in this embodiment can be applied to a wide range of maintenance equipment for air conditioners to be tested. The maintenance equipment comprises an NFC (Near Field Communication) module, an MCU (Microcontroller Unit), a memory chip, and a display module. The NFC module is used to establish a communication connection with the air conditioner to be tested, and the MCU is used to compare and analyze the execution parameters actually returned by the air conditioner under various operating modes with the basic data stored in the memory chip to reduce human judgment errors, improve work efficiency, and thus efficiently detect air conditioner faults.

[0023] Figure 1 FIG. 1 is a flow chart of a method for analyzing a fault of an air conditioner provided by an embodiment of the present invention. As shown in the figure, the method includes the following steps S110-S140.

[0024] S110 , establishing communication with the air conditioner to be detected through near field communication and acquiring basic data of the air conditioner to be detected.

[0025] In this embodiment, Near Field Communication (NFC) is a short-range, high-frequency wireless communication technology that allows for contactless, point-to-point data transmission and exchange between electronic devices. The air conditioner to be tested is a device reported by a user as experiencing a malfunction. The air conditioner includes a main control board with an NFC module, which also includes an MCU and a memory chip. The MCU controls the air conditioner's normal operation and stores detected data in the memory chip, transferring it to the NFC module when necessary for analysis by maintenance equipment. Basic data of the air conditioner to be tested is acquired by establishing communication with the air conditioner via NFC. Specifically, a maintenance device with an NFC module is brought close to the NFC sensing area of the air conditioner to be tested. The NFC sensing area can be located on the air conditioner's control panel or at a specific location, but this is not limited to this. When the maintenance device approaches a certain distance (typically within 10 centimeters), the NFC module automatically detects its presence and establishes a communication connection. Once the connection is established, the maintenance device can send a data acquisition request to the air conditioner to be tested. The air conditioner then transmits the retrieved basic data back to the NFC-enabled maintenance device via the NFC communication module. Through near-field communication technology, it connects to the air conditioner to be tested and obtains basic data, which reduces data transmission costs and can also quickly obtain basic data of the air conditioner to improve maintenance efficiency.

[0026] In one embodiment, if Figure 2 As shown, the step S110 also includes steps S111-S112.

[0027] S111, sending an information reading request to the air conditioner to be detected through near field communication, and receiving corresponding identity information;

[0028] S112: Perform information query based on the identity information to obtain corresponding basic data.

[0029] In this embodiment, the information read request is a request to obtain information about the air conditioner to be tested, for example, a request for the factory information, model number, and other identity data of the air conditioner to be tested. The information read request is sent to the air conditioner to be tested via near-field communication, and the corresponding identity information is received. Specifically, after establishing a communication connection with the air conditioner to be tested via NFC, the information read request is immediately sent to the air conditioner to be tested. The request content generally includes the type of data to be read (such as identity information) and possible read instructions or parameters. The NFC module encodes the request data into a format suitable for wireless transmission and sends it to the air conditioner to be tested via near-field communication. After the air conditioner to be tested receives the information read request, its NFC module parses the request content, reads the corresponding identity information from its internal memory or related modules, and determines the data to be returned. The read identity information is encoded into a format suitable for wireless transmission and sent back to the maintenance equipment via NFC communication. The maintenance equipment receives the corresponding identity information, for example, the identity information may include the air conditioner's unique identifier (such as a serial number), model number, production date, etc. After receiving the identity information, the NFC-enabled device stores it in a memory chip and searches for the corresponding basic data in a local database, cloud server, or other data source based on the identity information. This basic data may include the air conditioner's technical parameters (such as cooling capacity and heating capacity), operating status (such as current temperature and operating mode), warranty information, and preset operating parameters. By sending an information read request and receiving the identity information, the basic data corresponding to the air conditioner is obtained, providing important reference for equipment maintenance, management, or use.

[0030] S120: Send a function test instruction to the air conditioner to be tested, and receive execution data returned by the air conditioner to be tested.

[0031] In this embodiment, the maintenance equipment receives a functional test instruction input by a maintenance person and sends it to the air conditioner to be tested. The maintenance person can input a functional test instruction to the maintenance equipment based on the user description or the fault code displayed on the air conditioner panel. For example, the user describes that the air outlet of the air conditioner is small, and even when the wind speed is set to a high level, the wind speed is not obviously strong. In this case, the maintenance equipment is used to send a "air supply mode, high wind speed" functional test instruction to the air conditioner. The MCU of the air conditioner to be tested controls the air conditioner to operate in accordance with the mode of the functional test instruction by receiving the functional test instruction transmitted by the NFC module. When the operation is stable, the execution data is sent to the maintenance equipment, and the maintenance equipment receives and parses the execution data. By sending the functional test instruction to the air conditioner to be tested and receiving the execution data fed back, data support is provided for subsequent fault detection.

[0032] In one embodiment, if Figure 3 As shown, the step S120 also includes steps S121-S122.

[0033] S121, controlling the air conditioner to be tested to perform corresponding actions according to the function test instruction;

[0034] S121. Receive the execution data returned after the air conditioner to be detected runs stably.

[0035] In this embodiment, after the maintenance equipment sends the functional test instruction to the air conditioner under test, the functional test instruction controls the air conditioner under test to perform a corresponding action. For example, if a user describes the air conditioner's cooling effect as poor and the temperature decreases slowly, failing to meet user expectations, the probability of compressor failure is high. Therefore, the maintenance personnel use the maintenance equipment to send a functional test instruction "Cooling mode, xx Hz" to the air conditioner. The compressor operating frequency xx Hz is a fixed frequency value; the actual value can be set based on basic data and is not limited to this. The air conditioner then operates in cooling mode at xx Hz according to the functional test instruction. After stable operation, the maintenance equipment reads parameter information such as the exhaust pipe temperature, ambient temperature, control voltage, and compressor current returned by the air conditioner and sends this information as execution data to the maintenance equipment via the NFC module. The maintenance equipment receives the data returned by the air conditioner under test after stable operation and parses the received data to extract information such as the exhaust pipe temperature, ambient temperature, control voltage, and compressor current. By controlling the air conditioner under test to perform the corresponding action according to the functional test instruction, the corresponding execution data is obtained, allowing the maintenance personnel to understand the air conditioner's performance and make appropriate decisions.

[0036] S130 , performing numerical comparison and analysis on the execution data and the basic data according to the functional test instruction to determine fault detection information.

[0037] In this embodiment, the execution data is data actually generated by the air conditioner during the execution of the function test instruction. This data may include temperature, humidity, wind speed, energy consumption, compressor operating status, etc., reflecting the performance of the air conditioner during actual operation. The basic data is the performance indicators or parameter ranges that the air conditioner should achieve under normal operating conditions. According to the function test instruction, the execution data is numerically compared and analyzed with the basic data to determine fault detection information. Specifically, useful execution data is filtered out from the execution data according to the function test instruction, and the filtered data is compared and analyzed with corresponding data in the basic data. For example, if the current function test instruction tests the compressor speed, data related to the compressor speed is filtered out from the execution instruction and compared with corresponding preset data in the basic data. For example, if the compressor exhaust pipe temperature range, voltage, and current in the execution data are compared with preset data, and the compressor current is found to be greater than the actual current, then there may be an abnormality in the compressor winding. Therefore, the fault detection information determined is the fault detection information of abnormal compressor current and abnormal winding. By numerically comparing and analyzing the execution data with the basic data, the abnormality of the data can be understood, thereby generating corresponding fault detection reports and maintenance suggestions, so that maintenance personnel can promptly understand the fault status of the air conditioner and take corresponding maintenance measures.

[0038] In one embodiment, if Figure 4 As shown, the step S130 also includes steps S131-S132.

[0039] S131. If the function test instruction is a wind speed adjustment instruction, then filter out the actual wind speed and the actual wind voltage from the execution data;

[0040] S132: Compare the actual fan speed and the actual fan voltage with the preset fan speed and the preset fan voltage in the basic data, and determine corresponding fan fault detection information according to the comparison result.

[0041] In this embodiment, if the functional test instruction is a wind speed adjustment instruction for a fan fault, the actual fan speed and actual fan voltage are screened from the execution data fed back by the air conditioner to be tested. The actual fan speed and actual fan voltage are the speed and voltage generated by the air conditioner to be tested after executing the test instruction, and the preset fan speed and preset fan voltage are the speed and voltage values corresponding to the windshield in the basic data read by the maintenance equipment after reading the identity information of the air conditioner. The actual fan speed and actual fan voltage are compared with the preset fan speed and preset fan voltage in the basic data, and the corresponding fan fault detection information is determined based on the comparison result. Specifically, the actual fan speed is compared with a preset fan speed, and the actual fan voltage is compared with a preset fan voltage. Corresponding fan fault detection information is determined based on the comparison results. For example, if the actual fan speed is lower than the preset fan speed, fan fault detection information is generated indicating a motor fault and failure to reach the preset speed. If both actual data are lower than the corresponding preset data, but the speed and voltage ratio is consistent, fan fault detection information is generated indicating an abnormality in the air conditioner power supply. If the actual fan speed is lower than the preset fan speed and the actual fan voltage is higher than the preset fan voltage, fan fault detection information is generated indicating a possible abnormality in the air conditioner motor load. By comparing the acquired speed and voltage with preset values when the functional test instruction is a wind speed adjustment instruction, corresponding detection information is generated, enabling comprehensive fan fault detection and ensuring efficient maintenance of the air conditioner equipment.

[0042] In one embodiment, if Figure 5 As shown, step S130 also includes steps S133-S135.

[0043] S133: If the function test instruction is a compressor test instruction, filter out the actual exhaust pipe temperature, actual control voltage, and actual compressor current of the compressor from the execution data;

[0044] S134, comparing the actual exhaust pipe temperature, the actual control voltage, and the actual compressor current with a preset exhaust pipe temperature range, a preset control voltage, and a preset compressor current in the basic data to obtain a comparison result;

[0045] S135. Generate corresponding compressor fault detection information according to the comparison result.

[0046] In this embodiment, when the maintenance device receives a function test command and identifies it as a compressor test command, it filters out the actual temperature range of the compressor's exhaust pipe, the actual control voltage (the control voltage is an important parameter for regulating the compressor's operating status; monitoring the control voltage can reveal the compressor's power supply status), and the actual compressor current (the current is an important indicator of the compressor's load status; monitoring the current can determine whether the compressor is operating normally). The filtered data is then compared with corresponding preset data, where the preset data is a preset exhaust pipe temperature range, preset control voltage, and preset compressor current within the same ambient temperature range as the compressor operating frequency in the function test command in the basic data. The obtained actual data is compared with the preset data, and corresponding compressor fault detection information is generated based on the comparison result. For example, if the comparison results of the actual exhaust pipe temperature and the actual control voltage are both consistent with the preset data, and only the actual compressor current is greater than the preset compressor current, compressor fault detection information indicating a possible abnormality in the compressor winding can be generated. By generating corresponding compressor fault detection information based on the comparison result, the compressor is fully tested to ensure the effectiveness of the compressor repair.

[0047] In one embodiment, the step S135 further includes step S1351

[0048] S1351. Filter out abnormal parameters according to the comparison results, and generate corresponding compressor fault detection information according to the components corresponding to the abnormal parameters.

[0049] In this embodiment, the abnormal parameter is data that does not match preset data or is not within a preset range. For example, if the actual exhaust pipe temperature is not within the preset exhaust pipe temperature range, the actual exhaust pipe temperature is an abnormal parameter. The obtained actual data is sequentially compared with the preset data to screen out abnormal parameters, and corresponding compressor fault detection information is generated based on the components that affect the abnormal parameters. For example, if the actual compressor current is greater than the preset compressor current, it is an abnormal parameter, and compressor fault detection information is generated indicating a possible abnormality in the compressor winding. If the exhaust pipe temperature is not within the preset temperature range and the actual compressor current is greater than the preset compressor current, compressor fault detection information is generated indicating a possible abnormality in the compressor cylinder. If the actual exhaust pipe temperature is normal, but the actual control voltage is abnormal and the actual compressor current is greater than the preset compressor current, compressor fault detection information is generated indicating a possible abnormality in the compressor power supply or mainboard. By determining the corresponding component and fault detection information based on the abnormal parameter, targeted fault detection information is generated, improving maintenance efficiency for maintenance personnel.

[0050] S140: Generate a corresponding fault detection report and / or maintenance suggestion according to the fault detection information.

[0051] In this embodiment, the fault detection report is a comprehensive summary of the air conditioner compressor fault detection results. The fault detection report may include data such as a description of the fault phenomenon, fault detection information, and a fault impact analysis. The fault detection report may be presented in various formats, such as text descriptions and tables, without limitation, as long as the information is clear, accurate, and easy to understand. The maintenance recommendations are specific maintenance measures and solutions derived from the fault detection report to guide maintenance personnel in quickly and accurately resolving the fault. The maintenance recommendations may include maintenance steps and safety precautions. The maintenance recommendations are tailored to the specific fault type and cause, ensuring their relevance and feasibility. A corresponding fault detection report and / or maintenance recommendation is generated based on the fault detection information. Specifically, if the fault detection information indicates a possible compressor cylinder abnormality, a fault detection report is generated indicating that the exhaust pipe temperature continuously rises above the normal range during compressor operation, indicating a possible compressor cylinder abnormality. This abnormality may result in reduced compressor efficiency, reduced cooling performance, and shortened equipment life. A maintenance recommendation is also generated, prompting maintenance personnel to inspect the compressor cylinder or replace it. If no fault is present, no maintenance recommendation is generated. By generating corresponding inspection reports and maintenance suggestions based on fault detection information, the air conditioner failure problem can be quickly and targetedly analyzed, greatly improving the efficiency of maintenance personnel in resolving faulty air conditioners.

[0052] In one embodiment, if Figure 6 As shown, the step S140 also includes steps S141-S142.

[0053] S141, searching for the corresponding fault cause and treatment method according to the fault detection information;

[0054] S142: Generate the fault detection report and / or the maintenance suggestion according to the fault cause and handling method.

[0055] In this embodiment, the handling method is the corresponding fault repair method. The fault detection information is used to search for the corresponding fault cause and handling method. Specifically, based on the abnormal parameters in the fault detection information, a knowledge base is searched to find matching fault records, thereby determining the specific cause of the fault. For example, if the fault detection information indicates that the compressor exhaust pipe temperature is too high, possible causes include poor heat dissipation, insufficient refrigerant, or an internal compressor fault. After determining the fault cause, a corresponding handling method is determined. This handling method may include replacing damaged components, adjusting system parameters, or cleaning the cooling system. Based on the determined fault cause, a detailed fault detection report can be generated. The report may include data such as fault detection information, fault cause, and fault impact analysis. Based on the determined handling method, specific repair recommendations can be generated. The repair recommendations may include repair steps, required tools and materials, and safety precautions. By generating the fault detection report and / or repair recommendations based on the fault cause and handling method, maintenance personnel can clearly understand the fault, thereby improving the efficiency of air conditioner repair.

[0056] Figure 7 FIG. 2 is a schematic block diagram of a fault analysis device 200 for an air conditioner provided by an embodiment of the present invention. Figure 7 As shown, corresponding to the above air conditioner fault analysis method, the present invention also provides an air conditioner fault analysis device. The air conditioner fault analysis device includes a unit for executing the above air conditioner fault analysis method, and the device can be configured in a desktop computer, tablet computer, laptop computer, etc. Specifically, please refer to Figure 7 The fault analysis device for an air conditioner includes a communication unit 210 , a sending unit 220 , an analyzing unit 230 and a generating unit 240 .

[0057] The communication unit 210 is configured to establish communication with the air conditioner to be detected through near field communication and obtain basic data of the air conditioner to be detected.

[0058] In one embodiment, the communication unit 210 includes an information receiving unit and a data acquiring unit.

[0059] An information receiving unit, configured to send an information reading request to the air conditioner to be detected via near field communication, and receive corresponding identity information;

[0060] The data acquisition unit is used to perform information query based on the identity information to obtain corresponding basic data.

[0061] The sending unit 220 is used to send a function test instruction to the air conditioner to be tested, and receive execution data returned by the air conditioner to be tested.

[0062] In one embodiment, the sending unit 220 includes a control unit and a data receiving unit.

[0063] A control unit, configured to control the air conditioner to be tested to perform corresponding actions according to the functional test instruction;

[0064] The data receiving unit is used to receive the execution data returned after the air conditioner to be detected runs stably.

[0065] The analyzing unit 230 is configured to perform numerical comparison and analysis on the execution data and the basic data according to the functional test instruction to determine fault detection information.

[0066] In one embodiment, the analyzing unit 230 includes a first screening unit and a first comparing unit.

[0067] a first screening unit, configured to screen out an actual fan speed and an actual fan voltage from the execution data if the function test instruction is a wind speed adjustment instruction;

[0068] The first comparison unit is configured to compare the actual fan speed and the actual fan voltage with the preset fan speed and the preset fan voltage in the basic data, and determine corresponding fan fault detection information according to the comparison result.

[0069] In one embodiment, the analyzing unit 230 includes a second screening unit, a second comparing unit, and a fault generating unit.

[0070] a second screening unit, configured to screen out the actual exhaust pipe temperature, the actual control voltage, and the actual compressor current of the compressor from the execution data if the function test instruction is a compressor detection instruction;

[0071] a second comparing unit, configured to compare the actual exhaust pipe temperature, the actual control voltage, and the actual compressor current with a preset exhaust pipe temperature range, a preset control voltage, and a preset compressor current in the basic data to obtain a comparison result;

[0072] A fault generating unit is used to generate corresponding compressor fault detection information according to the comparison result.

[0073] In one embodiment, the analyzing unit 230 includes a third screening unit.

[0074] The third screening unit is used to screen out abnormal parameters according to the comparison result, and generate corresponding compressor fault detection information according to the device corresponding to the abnormal parameter.

[0075] The generating unit 240 is configured to generate a corresponding fault detection report and / or maintenance suggestion according to the fault detection information.

[0076] In one embodiment, the generating unit 240 includes a searching unit and a generating sub-unit.

[0077] A search unit, configured to search for a corresponding fault cause and a corresponding handling method according to the fault detection information;

[0078] A generating subunit is used to generate the fault detection report and / or the maintenance suggestion according to the fault generation cause and treatment method.

[0079] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the fault analysis device 200 and each unit of the air conditioner can refer to the corresponding description in the aforementioned method embodiment. For the convenience and brevity of description, it will not be repeated here.

[0080] The above-mentioned fault analysis device for air conditioner can be realized in the form of a computer program. The computer program can be used in Figure 8 Runs on the computer equipment shown.

[0081] See also Figure 8 , Figure 8 This is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device 500 can be a terminal or a server. The terminal can be a smart phone, tablet computer, laptop computer, desktop computer, personal digital assistant, wearable device, or other electronic device with communication capabilities. The server can be a standalone server or a server cluster consisting of multiple servers.

[0082] See Figure 8 The computer device 500 includes a processor 502 , a memory, and a network interface 505 connected via a system bus 501 , wherein the memory may include a non-volatile storage medium 503 and an internal memory 504 .

[0083] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions, which, when executed, can enable the processor 502 to execute a method for analyzing a fault of an air conditioner.

[0084] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0085] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute a fault analysis method for an air conditioner.

[0086] The network interface 505 is used to communicate with other devices through the network. Figure 8 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0087] The processor 502 is configured to run a computer program 5032 stored in the memory to implement the steps of the above method.

[0088] It should be understood that in the embodiment of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0089] Those skilled in the art will appreciate that all or part of the steps in the method of the above-described embodiment can be implemented by instructing the relevant hardware through a computer program. The computer program includes program instructions, which can be stored in a storage medium that is computer-readable. The program instructions are executed by at least one processor in the computer system to implement the steps in the method of the above-described embodiment.

[0090] Therefore, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor performs the steps of the above method.

[0091] The storage medium may be any computer-readable storage medium that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0092] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0093] In the several embodiments provided herein, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the various units is merely a logical functional division, and actual implementation may employ other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented.

[0094] The steps in the methods of the embodiments of the present invention may be adjusted in order, combined, or deleted as needed. The units in the devices of the embodiments of the present invention may be combined, divided, or deleted as needed. Furthermore, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0095] If this integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the existing technology, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, terminal, or network device, etc.) to execute all or part of the steps of the method described in various embodiments of the present invention.

[0096] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A method for analyzing a fault of an air conditioner, characterized in that: The method is applied to repair equipment, and the method comprises: Acquiring basic data of the air conditioner to be detected after establishing communication with the air conditioner to be detected through near field communication; Sending a function test instruction to the air conditioner to be tested, and receiving execution data returned by the air conditioner to be tested; Comparing and analyzing the execution data with the basic data according to the functional test instruction to determine fault detection information; Generate a corresponding fault detection report and / or maintenance suggestion based on the fault detection information.

2. The method according to claim 1, characterized in that The step of acquiring basic data of the air conditioner to be detected after establishing communication with the air conditioner to be detected through near field communication includes: Sending an information reading request to the air conditioner to be detected through near field communication, and receiving corresponding identity information; An information query is performed based on the identity information to obtain corresponding basic data.

3. The method according to claim 1, characterized in that The step of sending a function test instruction to the air conditioner to be tested and receiving execution data returned by the air conditioner to be tested comprises: Controlling the air conditioner to be tested to perform corresponding actions according to the functional test instruction; The execution data returned after the air conditioner to be detected runs stably is received.

4. The method according to claim 1, wherein The step of comparing and analyzing the execution data with the basic data according to the functional test instruction to determine the fault detection information includes: If the function test instruction is a wind speed adjustment instruction, then filtering out the actual wind speed and the actual wind voltage from the execution data; The actual fan speed and the actual fan voltage are compared with the preset fan speed and the preset fan voltage in the basic data, and corresponding fan fault detection information is determined according to the comparison result.

5. The method according to claim 1, wherein The step of comparing and analyzing the execution data with the basic data according to the functional test instruction to determine the fault detection information includes: If the functional test instruction is a compressor detection instruction, the actual exhaust pipe temperature, the actual control voltage, and the actual compressor current of the compressor are screened out from the execution data; Comparing the actual exhaust pipe temperature, the actual control voltage, and the actual compressor current with a preset exhaust pipe temperature range, a preset control voltage, and a preset compressor current in the basic data to obtain a comparison result; Corresponding compressor fault detection information is generated according to the comparison result.

6. The method according to claim 5, characterized in that The step of generating corresponding compressor fault detection information according to the comparison result includes: Abnormal parameters are screened out according to the comparison results, and corresponding compressor fault detection information is generated according to the components corresponding to the abnormal parameters.

7. The method according to claim 1, characterized in that The step of generating a corresponding fault detection report and / or maintenance suggestion according to the fault detection information includes: Find the corresponding fault cause and treatment method according to the fault detection information; The fault detection report and / or the maintenance suggestion are generated according to the fault generation cause and the treatment method.

8. A fault analysis device for an air conditioner, characterized in that: The device is applied to maintenance equipment, and comprises: A communication unit, configured to establish communication with the air conditioner to be detected through near field communication and obtain basic data of the air conditioner to be detected; a sending unit, configured to send a function test instruction to the air conditioner to be tested, and receive execution data returned by the air conditioner to be tested; an analyzing unit, configured to compare and analyze the execution data with the basic data according to the functional test instruction to determine fault detection information; A generating unit is used to generate a corresponding fault detection report and / or maintenance suggestion according to the fault detection information.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the method according to any one of claims 1 to 7 can be implemented.

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