Methods for detecting LED lamp faults in display panels used in household appliances; display panels

Abstract

This invention provides a method for detecting LED lamp faults in a display panel of a household appliance, and the display panel itself. The LED lamp fault detection method includes: acquiring real-time operating parameter values ​​of the corresponding dot matrix of the LED lamps on the display panel under different modes of the household appliance; determining the relationship between the real-time operating parameter values ​​and the standard operating parameter values ​​of the corresponding dot matrix under that mode; and controlling the display panel to enter a fault detection mode or a fault location determination mode based on the relationship between the difference between the real-time operating parameter values ​​and the standard operating parameter values ​​and a first preset range. The operating parameter values ​​include at least one of power value, total resistance value, and LED lamp current value; the different modes include standby mode, user-selected mode, and operating mode. This invention effectively solves the problem in the prior art where the use of manual visual inspection to determine the fault location of LED lamps affects the efficiency and accuracy of fault detection.

Description

Technical Field

[0001] This invention relates to the field of household appliance technology, and more specifically, to a method for detecting LED lamp faults in a display panel of a household appliance, and the display panel itself. Background Technology

[0002] Currently, in the home appliance industry, especially in the washing machine sector, LED display panels serve as crucial information output and interactive interfaces. Their stability and accuracy directly impact user experience and device performance. In existing technologies, fault detection of LED lights on washing machine display panels primarily relies on the visual judgment of users or repair personnel.

[0003] However, in the above-mentioned detection methods for LED light faults, when the displayed content is abnormal (such as incomplete display of numbers or symbols or flickering), users can usually only perceive the phenomenon of "display abnormality" but cannot determine which LED light or which part of the LED beads is faulty. Therefore, the detection method that relies on manual visual judgment lacks objectivity and accuracy, cannot accurately locate the fault location, and thus leads to low efficiency in fault detection. Summary of the Invention

[0004] The main objective of this invention is to provide a method for detecting LED lamp faults in a display panel for household appliances, and a display panel in general, to solve the problem that the existing technology uses manual visual inspection to determine the fault location of LED lamps, which affects the efficiency and accuracy of fault detection.

[0005] To achieve the above objectives, according to one aspect of the present invention, a method for detecting LED lamp faults in a display panel of a household appliance is provided, comprising: acquiring real-time operating parameter values ​​of the corresponding dot matrix of the LED lamps in different modes of the household appliance; determining the relationship between the real-time operating parameter values ​​and the standard operating parameter values ​​of the corresponding dot matrix in that mode; controlling the display panel to enter a fault detection mode or a fault location determination mode based on the relationship between the difference between the real-time operating parameter values ​​and the standard operating parameter values ​​and a first preset range; wherein the operating parameter values ​​include at least one of power value, total resistance value, and LED lamp current value, and the different modes include standby mode, user selection mode, and operating mode.

[0006] Furthermore, controlling the display panel to enter fault detection mode or fault location judgment mode based on the relationship between the difference between the real-time operating parameter value and the standard operating parameter value and the first preset range includes: if the difference between the real-time operating parameter value and the standard operating parameter value is within the first preset range, then it is determined that the LED light of the display panel has not malfunctioned, and the display panel is controlled to enter fault detection mode; if the difference between the real-time operating parameter value and the standard operating parameter value exceeds the first preset range, then the display panel is controlled to enter fault location judgment mode.

[0007] Furthermore, the fault detection mode includes: controlling at least some of the LEDs in this mode to turn on and off according to a preset mode, and determining whether there is a fault point on the display board based on the relationship between the real-time operating parameter values ​​of the LEDs in the preset mode and the standard operating parameter values ​​corresponding to the preset mode; the preset mode includes at least one of all LEDs lighting up sequentially, all LEDs lighting up, and some LEDs lighting up in a single row.

[0008] Furthermore, the method for determining whether there is a fault point on the display board based on the relationship between the real-time operating parameter value of the LED light in the preset mode and the standard operating parameter value corresponding to the preset mode includes: if the difference between the real-time operating parameter value and the standard operating parameter value is within a second preset range, then it is determined that there is no fault point on the display board; if the difference between the real-time operating parameter value and the standard operating parameter value exceeds the second preset range, then it is determined that there is a fault point on the display board, and the location of the fault point is recorded.

[0009] Furthermore, the fault location determination mode includes: Step S1: Divide all LEDs into N types of lighting areas according to a preset division method, and form a (N-1) type of lighting area from multiple N-type lighting areas. The number of LEDs in the N-type lighting area is less than the number of LEDs in the (N-1) type of lighting area; Step S2: Determine the relationship between the real-time operating parameter values ​​of the LEDs in the N-type lighting areas and the standard operating parameter values ​​corresponding to the lighting area in order from 1 to N, so as to determine the fault location based on the relationship between the two; where N is greater than 1.

[0010] Further, in step S2, the method of sequentially determining the relationship between the real-time operating parameter values ​​of the LEDs in the N types of lighting areas and the standard operating parameter values ​​corresponding to that type of lighting area, and determining the fault location based on the relationship between the two, includes: if the difference between the real-time operating parameter values ​​of the LEDs in the [N-(N-1)] type of lighting area and the standard operating parameter values ​​corresponding to that type of lighting area exceeds a third preset range, then sequentially determining the difference between the real-time operating parameter values ​​of the LEDs in the multiple [N-(N-2)] type of lighting areas forming the [N-(N-1)] type of lighting area and the standard operating parameter values ​​corresponding to that type of lighting area; if at least one [N-(N-2)] type of lighting area in the multiple [N-(N-2)] type of lighting area... If the difference between the real-time operating parameter value of the LED light in a certain type of lighting area and the standard operating parameter value corresponding to that type of lighting area exceeds the fourth preset range, then the difference between the real-time operating parameter value of the LED light in multiple [N-(N-2)] types of lighting areas and the standard operating parameter value corresponding to that type of lighting area is determined one by one. If the difference between the real-time operating parameter value of the LED light in at least one of the multiple [N-(N-3)] types of lighting areas and the standard operating parameter value corresponding to that type of lighting area exceeds the fifth preset range, then it is determined that there is a fault location in that type of lighting area and the location is recorded, until the determination is completed for all N types of lighting areas.

[0011] Furthermore, in step S2, during the process of determining the fault location, the duration of the fault and / or the number of faulty LEDs are recorded simultaneously, and the fault level is classified according to the duration of the fault, the number of faulty LEDs, the difference between the real-time operating parameter values ​​of the LEDs in the faulty lighting area and the standard operating parameter values ​​corresponding to that lighting area.

[0012] Furthermore, the LED lamp fault detection method also includes: generating a fault report by including at least one of the following: a diagram of the fault location, the fault level, and recommended handling opinions; and sending the fault report to the user terminal device through a communication module; wherein, the recommended handling opinions include repair and ignoring repair.

[0013] Furthermore, the LED lamp fault detection method also includes: storing the diagram of the fault location and / or the fault level at preset time intervals to form a power consumption trend diagram of the LED lamps on the display panel, so as to obtain the aging degree of the LED lamps on the display panel based on the power consumption trend diagram.

[0014] Furthermore, before determining the relationship between the real-time operating parameter values ​​and the standard operating parameter values ​​of the corresponding dot matrix in this mode, the LED lamp fault detection method also includes: obtaining the operating mode of the household appliance; if the household appliance is in the user selection mode and the display panel enters the fault location judgment mode, then the household appliance is first controlled to stop operating and the display panel is controlled to enter the fault detection mode.

[0015] Furthermore, before determining the relationship between the real-time operating parameter values ​​and the standard operating parameter values ​​of the corresponding dot matrix in this mode, the LED lamp fault detection method also includes: obtaining the working mode of the household appliance; if the household appliance is in the operating mode, the control display panel enters the fault detection mode according to the preset time division method; after the fault detection mode ends, the control display panel returns to the display state in the display operating mode.

[0016] According to another aspect of the present invention, a display panel is provided that is suitable for the above-described LED lamp fault detection method.

[0017] By applying the technical solution of this invention, the actual operating parameters of the LED lamp, such as power value, total resistance value, and LED lamp current value, are obtained in different modes and compared with the preset standard operating parameter values. This allows for the rapid detection of whether the LED lamp on the display panel deviates from its normal operating state, so that fault detection no longer relies on external observation or user feedback. This achieves automated fault detection of LED lamps, enabling automatic identification and location of faults in their early stages. This significantly improves the real-time performance and accuracy of fault detection, reduces fault diagnosis time, and solves the problem of existing technologies using manual visual inspection to determine the fault location of LED lamps, which affects the efficiency and accuracy of fault detection. Attached Figure Description

[0018] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0019] Figure 1 A control flowchart of an embodiment of the LED lamp fault detection method for a display panel of a household appliance according to the present invention is shown;

[0020] Figure 2 It shows Figure 1 Control flowchart of the fault detection mode in the LED lamp fault detection method;

[0021] Figure 3 It shows Figure 1 The control flowchart of the fault location judgment mode of the LED lamp fault detection method. Detailed Implementation

[0022] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0023] It should be noted that, unless otherwise specified, all technical and scientific terms used in this application have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0024] In this invention, unless otherwise stated, directional terms such as "up" and "down" are generally used in relation to the direction shown in the accompanying drawings, or in relation to the vertical, perpendicular, or gravitational direction; similarly, for ease of understanding and description, "left" and "right" are generally used in relation to the left and right shown in the accompanying drawings; "inner" and "outer" refer to the inner and outer contours of each component itself, but the above directional terms are not intended to limit this invention.

[0025] To address the problem that existing technologies rely on manual visual inspection to determine the fault location of LED lights, which affects the efficiency and accuracy of fault detection, this application provides a method for detecting LED light faults in display panels of household appliances, and a display panel itself.

[0026] like Figures 1 to 3 As shown, the method for detecting LED light faults in the display panel of household appliances includes:

[0027] The system acquires the real-time operating parameter values ​​of the LEDs on the display panel corresponding to the dot matrix in different modes of household appliances, and determines the relationship between the real-time operating parameter values ​​and the standard operating parameter values ​​of the corresponding dot matrix in that mode. Based on the relationship between the difference between the real-time operating parameter values ​​and the standard operating parameter values ​​and a first preset range, the system controls the display panel to enter a fault detection mode or a fault location judgment mode. The operating parameter values ​​include at least one of power value, total resistance value, and LED current value, and the different modes include standby mode, user selection mode, and operating mode.

[0028] By applying the technical solution of this embodiment, the actual operating parameters of the LED lamp, such as power value, total resistance value and LED lamp current value, are obtained in different modes and compared with the preset standard operating parameter values. This allows for the rapid detection of whether the LED lamp on the display panel deviates from its normal operating state, so that fault detection no longer relies on external observation or user feedback. This achieves automated fault detection of the LED lamp, enabling automatic identification and location of faults in the early stages of their occurrence. This significantly improves the real-time performance and accuracy of fault detection, reduces fault diagnosis time, and solves the problem in the prior art where the use of manual visual inspection to determine the fault location of the LED lamp affects the efficiency and accuracy of fault detection.

[0029] In this embodiment, controlling the display panel to enter fault detection mode or fault location determination mode based on the relationship between the difference between real-time operating parameter values ​​and standard operating parameter values ​​and a first preset range includes:

[0030] If the difference between the real-time operating parameter value and the standard operating parameter value is within the first preset range, then it is determined that the LED lights on the display panel are not faulty, and the display panel is controlled to enter the fault detection mode.

[0031] If the difference between the real-time operating parameter value and the standard operating parameter value exceeds the first preset range, the control display panel will enter the fault location judgment mode.

[0032] Specifically, by setting a first preset range as the boundary for fluctuations in normal operating parameters, if the difference between the real-time operating parameter value and the standard operating parameter value of the LED exceeds this range, the system immediately responds, controlling the display panel to enter fault location judgment mode and beginning a detailed fault diagnosis of the LED. In this way, the above mechanism can quickly capture abnormal states of the display panel, achieving early warning and avoiding further damage caused by undetected faults. Simultaneously, since slight parameter fluctuations may be temporary or caused by environmental factors and not necessarily LED faults, the system will not immediately classify slight fluctuations within the first preset range as faults. Instead, it will put the display panel into fault detection mode for more in-depth monitoring and analysis. This further verification through fault detection mode can avoid false alarms, reduce unnecessary maintenance activities, and save maintenance costs.

[0033] Optionally, the fault detection mode includes: controlling at least some of the LEDs in this mode to turn on and off according to a preset mode, and determining whether there is a fault point on the display board based on the relationship between the real-time operating parameter values ​​of the LEDs in the preset mode and the standard operating parameter values ​​corresponding to the preset mode; the preset mode includes at least one of all LEDs lighting up sequentially, all LEDs lighting up, and some LEDs lighting up in a single row.

[0034] In this embodiment, the fault detection mode controls the LEDs to turn on and off according to preset patterns, such as all LEDs lighting up sequentially, all LEDs being on, and a single row of LEDs being on. This allows for detailed observation of the changes in operating parameters of each LED or row of LEDs when they are lit, such as power, total resistance, or current. By comparing these parameters with the corresponding standard operating parameters in the preset modes, the system can accurately identify fault points on the display panel, and even pinpoint the fault condition of a single LED or LED row. This detection mode avoids the subjectivity and inaccuracy of traditional visual inspection, improving the accuracy and efficiency of fault identification. Furthermore, through the diversification of preset modes, the system can comprehensively detect different states of the LEDs on the display panel. For example, in the all-LEDs-on mode, it can detect the overall power consumption to determine if there are large-scale LED faults; in the all-LEDs-light-sequential-light mode, it can detect changes in the power consumption of a single LED to pinpoint the specific faulty LED; and in the single-row-on-light mode, it can detect differences in power consumption between rows to determine row-level faults.

[0035] Specifically, the flexible switching of the aforementioned preset modes enables the system to select the most effective detection strategy based on the initial fault assessment, quickly locate the fault point, and evaluate the severity of the fault through in-depth analysis of parameters such as power and resistance at the fault point, providing accurate data support for subsequent fault handling.

[0036] In this embodiment, the method for determining whether there is a fault point on the display board based on the relationship between the real-time operating parameter values ​​of the LEDs in the preset mode and the standard operating parameter values ​​corresponding to the preset mode includes:

[0037] If the difference between the real-time operating parameter value and the standard operating parameter value is within the second preset range, it is determined that no fault point has appeared on the display panel; if the difference between the real-time operating parameter value and the standard operating parameter value exceeds the second preset range, it is determined that a fault point has appeared on the display panel, and the location of the fault point is recorded.

[0038] Specifically, by setting a second preset range as the normal fluctuation range of operating parameters, when the difference between the real-time operating parameter value and the standard operating parameter value of the LED light is within the second preset range, the system can determine that the LED light on the display board is in normal working condition and there is no fault point. This judgment mechanism ensures that the system will not overreact to slight parameter fluctuations, avoiding misjudgment and unnecessary maintenance. Conversely, if the difference exceeds the second preset range, the system can quickly determine that there is a fault point on the display board and record the specific location of the fault point by continuously monitoring the operating parameters in the fault mode. In this way, the above-mentioned fault location method based on parameter comparison has higher accuracy and efficiency than traditional manual inspection, enabling rapid fault location and handling, reducing fault diagnosis time, and providing users with more timely solutions.

[0039] In this embodiment, the combination of preset modes and standard parameter values ​​enables the system to automatically analyze operational data in fault detection mode without manual intervention. Once the system identifies a fault point, it can further analyze the operating parameters of that point to assess the severity of the fault, providing a scientific basis for subsequent fault handling. For example, the degree of power, resistance, or current abnormalities at the fault point can serve as a reference indicator of fault severity. Simultaneously, the system can store and upload fault information to a remote server, using big data analysis and machine learning techniques to predict fault trends and provide preventative maintenance suggestions. Thus, the aforementioned fault location determination mode can accurately pinpoint the specific location of the faulty LED, helping maintenance personnel quickly locate the problem, significantly shortening fault repair time and improving maintenance efficiency.

[0040] In this embodiment, the fault location determination mode includes:

[0041] Step S1: Divide all LED lights into N types of lighting areas according to the preset division method. Multiple Nth type lighting areas form a (N-1)th type lighting area. The number of LED lights in the Nth type lighting area is less than the number of LED lights in the (N-1)th type lighting area.

[0042] Step S2: In order from 1 to N, determine the relationship between the real-time operating parameter values ​​of the LEDs in the N types of lighting areas and the standard operating parameter values ​​corresponding to the lighting areas, so as to determine the fault location based on the relationship between the two; where N is greater than 1.

[0043] Specifically, all LEDs are divided into N illuminated areas, progressively narrowing down from the largest illuminated area to the smallest. This hierarchical detection method significantly improves the accuracy of fault location. First, detection is performed in the largest illuminated area to quickly determine if there is a large-area fault on the entire display panel. If so, the medium-sized areas constituting the largest illuminated area are then inspected, and so on, until the smallest illuminated area, i.e., a single LED or a group of adjacent LEDs. This progressively refined search strategy effectively eliminates non-faulty areas, focusing on the fault point and avoiding the inefficiency of blindly checking everything. This advantage is even more pronounced on large display panels with a large number of LEDs. Furthermore, by dividing the illuminated areas according to rows, columns, or specific geometric shapes, starting with a large area and then gradually narrowing down, this method significantly reduces the overall time and resource consumption required for fault detection. In the initial stage of fault detection, the system only needs to monitor the operating parameters of a larger area. If these parameters are within acceptable ranges, a more detailed inspection of that area can be skipped, saving time spent inspecting each individual LED. Only when a large-scale inspection reveals anomalies is it necessary to further inspect a smaller area. This inspection process ensures both the comprehensiveness of fault finding and efficiency, avoiding the ineffective investment of resources.

[0044] In this embodiment, the method for determining the relationship between the real-time operating parameter values ​​of LEDs in N types of illuminated areas and the standard operating parameter values ​​corresponding to those illuminated areas, and determining the fault location based on the relationship between the two, includes:

[0045] If the difference between the real-time operating parameter value of the LED light in the [N-(N-1)]th lighting area and the standard operating parameter value corresponding to that lighting area exceeds the third preset range, then the difference between the real-time operating parameter value of the LED light in each of the multiple [N-(N-2)]th lighting areas forming the [N-(N-1)]th lighting area and the standard operating parameter value corresponding to that lighting area is determined one by one; if the difference between the real-time operating parameter value of the LED light in at least one of the multiple [N-(N-2)]th lighting areas and the standard operating parameter value corresponding to that lighting area is... If the value exceeds the fourth preset range, then the difference between the real-time operating parameter value of the LED light in each of the multiple [N-(N-2)] types of lighting areas and the standard operating parameter value corresponding to that type of lighting area is determined. If the difference between the real-time operating parameter value of the LED light in at least one of the multiple [N-(N-3)] types of lighting areas and the standard operating parameter value corresponding to that type of lighting area exceeds the fifth preset range, then it is determined that there is a fault location in that type of lighting area and the location is recorded, until the determination of all N types of lighting areas is completed.

[0046] Specifically, through a progressive fault detection approach, starting from large areas and gradually narrowing down, the system first assesses operating parameters such as power, resistance, or current values ​​within a larger illuminated area. Only when the differences in these parameters exceed preset ranges is the detection further subdivided into smaller illuminated areas. This step-by-step narrowing detection strategy avoids the inefficiency and resource waste caused by independently testing each LED. Especially on large-area display panels, the system first determines the likely fault area at a macroscopic level and then gradually refines to locate the specific fault point at a microscopic level, significantly improving the speed and efficiency of fault detection. Furthermore, this progressive detection not only quickly locates the approximate location of the fault but, after confirming that the fault exists in a small area, can further pinpoint the fault to the level of individual LEDs or specific LED groups. This high-precision fault location capability is of significant importance to maintenance work, reducing blind disassembly and testing by maintenance personnel, directly pointing to the fault point, accelerating fault repair, and reducing maintenance costs.

[0047] In this embodiment, in step S2, during the process of determining the fault location, the duration of the fault and / or the number of faulty LEDs are recorded simultaneously, and the fault level is classified according to the duration of the fault, the number of faulty LEDs, the difference between the real-time operating parameter values ​​of the LEDs in the faulty lighting area and the standard operating parameter values ​​corresponding to that lighting area.

[0048] Specifically, by recording the duration of a fault and the number of faulty LEDs, the system can automatically assess the severity of the fault based on these quantitative indicators, and thus classify the fault level. For example, a shorter fault duration and fewer faulty LEDs may be classified as a lower fault level, while a prolonged fault duration and a large number of faulty LEDs may lead to a higher-level fault alarm. This data-driven fault classification mechanism helps the system intelligently determine when immediate repair is needed and when temporary monitoring is sufficient without immediate intervention, optimizing the allocation of maintenance resources, avoiding over-maintenance or under-maintenance, and improving the targeting and efficiency of maintenance work. Furthermore, recording the duration of a fault and the number of faulty LEDs is not only used for immediate fault assessment, but the data can also be used for long-term trend analysis and predictive maintenance decisions. By analyzing historical fault data, the system can identify areas or time periods with high fault frequency, predict potential future fault points, and take preventative measures, such as replacing vulnerable parts, strengthening cooling or insulation in a specific area, thereby preventing faults and extending equipment lifespan. In addition, data-driven maintenance strategies also benefit manufacturers by allowing them to improve product design based on statistical data on fault patterns, reducing future product failure rates, and improving overall product quality and competitiveness.

[0049] Optionally, the LED lamp fault detection method further includes: generating a fault report by including at least one of the following: a diagram of the fault location, the fault level, and recommended handling opinions; and sending the fault report to the user terminal device via a communication module; wherein the recommended handling opinions include repair and ignoring repair.

[0050] Specifically, once the system determines that the display panel has entered fault detection mode, it can further analyze and determine the specific location and extent of the fault. This not only simplifies the work of repair personnel but also makes fault handling more professional and precise. Simultaneously, through IoT technology, this detailed fault information is sent to the user's smart terminal in real time. Users can immediately understand the status of their home appliances and even receive preliminary fault-handling suggestions, such as self-checking, simple repairs, or scheduling professional repair services. This intelligent fault reporting and handling method greatly improves the user experience and enhances user trust and satisfaction with the product.

[0051] Optionally, the LED lamp fault detection method further includes: storing the diagram of the fault location and / or the fault level at preset time intervals to form a power consumption trend diagram of the LED lamps on the display panel, so as to obtain the aging degree of the LED lamps on the display panel based on the power consumption trend diagram.

[0052] In this embodiment, by periodically recording and analyzing the power consumption data of the LEDs to generate a power consumption trend graph, the system can understand the power consumption trend of the LEDs on the display panel over time, and thus predict the aging or degradation of the LEDs. For example, if the power consumption of the LEDs in a certain area gradually increases over time, it may indicate that the LEDs in that area are undergoing an aging process, posing a potential risk of failure. Using this trend information, the system can issue early warnings to remind users or maintenance personnel to perform preventative maintenance, such as replacing LEDs that are about to fail, avoiding service interruptions caused by sudden failures, thereby extending the overall lifespan of the equipment and reducing unnecessary maintenance costs.

[0053] Specifically, the power consumption trend graph not only reveals the aging degree of LED lights but also reflects the change in fault location over time, providing refined data support for equipment health management. For example, if a user reports a significant increase in the frequency of faults within a certain period, the system can analyze the power consumption trend graph to identify abnormal power consumption of LED lights during that period. This may indicate that the display panel is more susceptible to damage in specific environments or usage modes. The system can automatically adjust display parameters, such as brightness, contrast, or color settings, to optimize the display effect in problematic environments, reduce the likelihood of faults, and improve the user experience. Simultaneously, the power consumption trend graph also provides manufacturers with valuable equipment performance feedback, aiding in product iteration and design optimization to improve product stability and durability in real-world usage environments.

[0054] In this embodiment, before determining the relationship between the real-time operating parameter value and the standard operating parameter value of the corresponding dot matrix in this mode, the LED lamp fault detection method further includes: obtaining the working mode of the household appliance; if the household appliance is in the user selection mode and the display panel enters the fault location judgment mode, then the household appliance is first controlled to stop running and the display panel is controlled to enter the fault detection mode.

[0055] Specifically, when users operate washing machines or other household appliances, the LEDs on the display panel may change their brightness or display status according to the needs of the user interface. This change can affect the measurement of real-time operating parameters, potentially leading to misdiagnosis and incorrectly interpreting normal parameter changes as fault signals. Therefore, by acquiring the operating mode of the household appliance before fault detection and pausing the device in the user-selected mode to enter fault detection mode, the influence of dynamic changes in the user interface on the measurement of operating parameters can be eliminated. This ensures detection is performed in a static, constant display mode, improving the accuracy of fault detection, avoiding false alarms caused by changes in external conditions, and enhancing the stability and reliability of the system. Furthermore, household appliances are typically in a state of preparation for startup or initial operation in user-selected mode. If the display panel detects a fault at this time, especially one involving LED power management or control circuitry, direct fault detection and location may affect the overall operational safety of the equipment. Therefore, pausing the appliance's operation and entering fault detection mode first can prevent further damage to the appliance or other components during fault diagnosis, ensuring user safety.

[0056] In this embodiment, before determining the relationship between the real-time operating parameter value and the standard operating parameter value of the corresponding dot matrix in this mode, the LED lamp fault detection method further includes: obtaining the working mode of the household appliance; if the household appliance is in the operating mode, controlling the display panel to enter the fault detection mode according to the preset time division method; after the fault detection mode ends, controlling the display panel to return to the display state in the display operating mode.

[0057] Specifically, when the washing machine or other household appliances are in operation, the control display panel automatically enters a fault detection mode according to a preset time division. This allows for fault detection without affecting the normal function of the equipment or the user experience. The aforementioned time division is typically based on the analysis of the equipment's operating cycle, selecting fault detection during the equipment's periodic stable periods or low-load phases. This ensures that detection does not cause interference during critical phases of equipment operation, maintaining the continuity and stability of equipment operation, and avoiding inconvenience to users. This achieves seamless integration of fault detection and equipment operation. Furthermore, the preset time division fault detection mode allows the system to periodically and automatically check the health of the display panel during equipment operation, rather than relying on active discovery by users or maintenance personnel. This proactive monitoring method can capture early signs of faults in real time, allowing for intervention before the fault becomes serious, without waiting for the user to notice the display abnormality.

[0058] This application also provides a display panel (not shown) applicable to the above-described LED lamp fault detection method.

[0059] As can be seen from the above description, the embodiments of the present invention achieve the following technical effects:

[0060] By acquiring the actual operating parameters of the LED lights in different modes, such as power value, total resistance value, and LED light current value, and comparing them with the preset standard operating parameter values, it is possible to quickly detect whether the LED lights on the display board deviate from the normal working state. This eliminates the need for external observation or user feedback in fault detection, realizing automated fault detection of LED lights. Furthermore, it enables automatic identification and location of faults in the early stages, greatly improving the real-time performance and accuracy of fault detection, reducing fault diagnosis time, and solving the problem of using manual visual inspection methods to determine the fault location of LED lights in existing technologies, which affects the efficiency and accuracy of fault detection.

[0061] Obviously, the embodiments described above are merely some, not all, embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort should fall within the scope of protection of the present invention.

[0062] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0063] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in sequences other than those illustrated or described herein.

[0064] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A LED lamp failure detection method for a display panel of a household appliance, characterized in that, The method comprises the following steps: acquiring real-time running parameter values of LED lamps corresponding to dot matrixes of a display panel in different modes of a household appliance, and judging the relationship between the real-time running parameter values and standard running parameter values of the corresponding dot matrixes in the modes; controlling the display panel to enter a fault detection mode or a fault position judgment mode according to the relationship between the difference between the real-time running parameter values and the standard running parameter values and a first preset range; wherein the running parameter values include at least one of power values, total resistance values and LED lamp current values, and the different modes include a standby mode, a user selection mode and a running mode; controlling the display panel to enter a fault detection mode or a fault position judgment mode according to the relationship between the difference between the real-time running parameter values and the standard running parameter values and the first preset range comprises: if the difference between the real-time running parameter values and the standard running parameter values is within the first preset range, judging that the LED lamps of the display panel have not failed, and controlling the display panel to enter the fault detection mode; if the difference between the real-time running parameter values and the standard running parameter values exceeds the first preset range, controlling the display panel to enter the fault position judgment mode.

2. The LED lamp fault detection method of claim 1, wherein, The fault detection mode comprises: controlling at least part of the LED lamps in the mode to turn on and off according to a preset mode, and judging whether there is a fault point on the display panel according to the relationship between the real-time running parameter values of the LED lamps in the preset mode and the standard running parameter values corresponding to the preset mode; the preset mode comprises at least one of sequentially turning on all the LED lamps, turning on all the LED lamps and single-row lighting of part of the LED lamps.

3. The LED lamp fault detection method of claim 2, wherein, The method of judging whether there is a fault point on the display panel according to the relationship between the real-time running parameter values of the LED lamps in the preset mode and the standard running parameter values corresponding to the preset mode comprises: if the difference between the real-time running parameter values and the standard running parameter values is within a second preset range, judging that there is no fault point on the display panel; if the difference between the real-time running parameter values and the standard running parameter values exceeds the second preset range, judging that there is a fault point on the display panel, and recording the position of the fault point.

4. The LED lamp fault detection method of claim 1, wherein, The fault position judgment mode comprises: Step S1: dividing all the LED lamps into N kinds of lighting areas according to a preset division mode, and forming a (N-1)th kind of lighting area from a plurality of Nth kinds of lighting areas, wherein the number of LED lamps in the Nth kind of lighting area is less than the number of LED lamps in the (N-1)th kind of lighting area; Step S2: sequentially judging the relationship between the real-time running parameter values of the LED lamps in the N kinds of lighting areas and the standard running parameter values corresponding to the kinds of lighting areas in order from 1 to N, so as to judge the fault position according to the relationship between the two; wherein N is greater than 1.

5. The LED lamp fault detection method of claim 4, wherein, In the step S2, the method of sequentially judging the relationship between the real-time running parameter values of the LED lamps in the N kinds of lighting areas and the standard running parameter values corresponding to the kinds of lighting areas and judging the fault position according to the relationship between the two comprises: If the difference between the real-time running parameter value of the LED lamp in the Nth lighting area and the standard running parameter value corresponding to the Nth lighting area exceeds the third preset range, the difference between the real-time running parameter value of the LED lamp in each of the (N-1)th lighting area formed by the (N-2)th lighting area and the standard running parameter value corresponding to the (N-2)th lighting area is judged. If the difference between the real-time running parameter value of the LED lamp in at least one of the (N-2)th lighting area and the standard running parameter value corresponding to the (N-2)th lighting area exceeds the fourth preset range, the difference between the real-time running parameter value of the LED lamp in each of the (N-3)th lighting area formed by the (N-2)th lighting area and the standard running parameter value corresponding to the (N-3)th lighting area is judged. If the difference between the real-time running parameter value of the LED lamp in at least one of the (N-3)th lighting area and the standard running parameter value corresponding to the (N-3)th lighting area exceeds the fifth preset range, it is judged that there is a fault position in the lighting area, and the position is recorded. The judgment is completed for all N lighting areas.

6. The LED lamp fault detection method of claim 4, wherein, In the step S2, during the judgment of the fault position, the fault duration and / or the number of LED lamps with faults are recorded synchronously, and the fault level is divided according to the fault duration, the LED lamps with faults, and the difference between the real-time running parameter value of the LED lamp in the lighting area with faults and the standard running parameter value corresponding to the lighting area.

7. The LED lamp fault detection method of claim 6, wherein, The LED lamp fault detection method further comprises: At least one of the diagram of the fault position, the fault level, and the recommended treatment opinion is generated into a fault report, and the fault report is sent to the user terminal device through the communication module. The recommended treatment opinion includes repair and ignoring repair.

8. The LED lamp fault detection method of claim 6, wherein, The LED lamp fault detection method further comprises: Every interval of a preset time period, the diagram of the fault position and / or the fault level are stored to form a power consumption trend chart of the LED lamp of the display panel, so as to obtain the aging degree of the LED lamp of the display panel according to the power consumption trend chart.

9. The LED lamp fault detection method of claim 1, wherein, Before judging the relationship between the real-time running parameter value and the standard running parameter value of the corresponding dot matrix in the mode, the LED lamp fault detection method further comprises: The working mode of the household appliance is obtained. If the household appliance is in the user selection mode and the display panel enters the fault position judgment mode, the household appliance is controlled to stop running and the display panel is controlled to enter the fault detection mode.

10. The LED lamp fault detection method of claim 1, wherein, Before judging the relationship between the real-time running parameter value and the standard running parameter value of the corresponding dot matrix in the mode, the LED lamp fault detection method further comprises: The working mode of the household appliance is acquired, if the household appliance is in a running mode, the display panel is controlled to enter a fault detection mode according to a preset time division mode, and after the fault detection mode ends, the display panel is controlled to restore to a display state of displaying the running mode.

11. A display panel, characterized by The LED lamp fault detection method is suitable for any one of claims 1-10.

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