A method for monitoring the life of an organic electroluminescent panel

Abstract

The present application relates to the technical field of organic electroluminescent panels, and in particular to a method for monitoring the life of an organic electroluminescent panel. The method comprises: generating an expected life curve based on the equipment parameters of the organic electroluminescent panel, and setting a plurality of life nodes; acquiring monitoring data of the organic electroluminescent panel according to preset monitoring time nodes, and generating the first-level remaining life and first-level loss difference of each monitoring time node; correcting the first-level loss difference of each monitoring time node according to a preset environmental model, and generating the second-level loss difference of each monitoring time node according to the correction result; judging whether to generate an early warning instruction according to the second-level loss difference and the first-level remaining life of each monitoring point. The expected life curve of the organic electroluminescent panel is established based on historical data, and the monitoring data of the real-time monitoring time nodes are analyzed and compared, and the organic electroluminescent panel with abnormal loss is repaired to improve its actual service life.

Description

Technical Field

[0001] The present application relates to the technical field of organic electroluminescent panels, and in particular to a life monitoring method for organic electroluminescent panels. Background Art

[0002] The life of an organic electroluminescent panel is the time it takes for the brightness of the organic electroluminescent panel to drop to half of its initial brightness. However, in actual applications, higher requirements are placed on organic light-emitting devices in some occasions such as mobile phones, computers and other devices. Generally, a 5% brightness attenuation is regarded as the life cycle of an organic electroluminescent panel.

[0003] There are many factors that affect the life of organic electroluminescent devices. However, in actual applications, it is impossible to effectively monitor the life of organic electroluminescent panels, and it is impossible to timely inspect and adjust the life status of organic electroluminescent panels, which affects the overall operation of the system and the development of organic electroluminescent systems. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a life monitoring method for an organic electroluminescent panel, aiming to improve the monitoring efficiency of the life status of the organic electroluminescent panel, timely carry out early warning maintenance of the organic electroluminescent panel with abnormal wear and tear, and improve its operating life.

[0005] In some embodiments of the present application, an expected life curve of the organic electroluminescent panel is established based on historical data, multiple life nodes are constructed, multiple life monitoring indicators are generated through feature analysis, and an expected operation curve of each life monitoring indicator is constructed, thereby generating a comparison data packet for each life node, and by analyzing and comparing the monitoring data of the real-time monitoring time nodes, the first-level remaining life of the organic electroluminescent panel is generated, and the organic electroluminescent panels whose remaining life cannot meet the operating requirements are promptly repaired and replaced to ensure the stable operation of the system.

[0006] In some embodiments of the present application, multiple loss indicators are generated based on historical parameters, and by constructing multiple loss scenarios, the loss status of the organic electroluminescent panel within a single monitoring cycle is analyzed, and the organic electroluminescent panel with abnormal loss is promptly repaired to increase its actual service life.

[0007] In some embodiments of the present application, a method for monitoring the life of an organic electroluminescent panel is provided, comprising:

[0008] Generate an expected life curve based on device parameters of the organic electroluminescent panel and set multiple life nodes;

[0009] Acquire monitoring data of the organic electroluminescent panel according to preset monitoring time nodes, and generate the primary remaining life and primary loss difference of each monitoring time node;

[0010] Correct the primary loss difference of each monitoring time node according to the preset environmental model, and generate the secondary loss difference of each monitoring time node according to the correction result;

[0011] Whether to generate an early warning instruction is determined based on the difference in secondary loss and primary remaining life at each monitoring point.

[0012] In some embodiments of the present application, the setting of multiple life nodes includes:

[0013] Generate multiple life monitoring indicators;

[0014] Establish a life node sequence A, A=(a1,a2…a i …a n ), where ai is the i-th life node; n is the number of life nodes;

[0015] Sequentially set the i-th life node as the target life node;

[0016] Generate characteristic parameters of each life monitoring indicator at the target life node based on historical parameters;

[0017] Generate a comparison data packet of the target life node;

[0018] Generate comparison data packets for each life node in turn.

[0019] In some embodiments of the present application, when generating the primary remaining life of each monitoring time node, it includes:

[0020] Generate a monitoring data packet of the current monitoring time node according to the monitoring data;

[0021] Generate similarity evaluation values ​​between the monitoring data packet and all comparison data packets;

[0022] Establish the similarity evaluation value sequence B of the current time node, B=(b1,b2…b i …b n ), where b i is the similarity evaluation value between the monitoring data packet and the comparison data packet of the i-th life node;

[0023] Select the maximum similarity evaluation value b in the similarity evaluation value sequence B w ;

[0024] According to the maximum similarity evaluation value b w Generate the first-level remaining life k of the current monitoring time node.

[0025] In some embodiments of the present application, when generating the first-level remaining life k at the current monitoring time node according to the maximum similarity evaluation value bw, it includes:

[0026] Preset the first similarity evaluation value threshold B1;

[0027] When b w > B1, set the remaining life corresponding to the wth life node as the first-level remaining life k at the current monitoring time node;

[0028] When b w < B1, obtain the similarity evaluation value b w-1 and the similarity evaluation value b w+1 ;

[0029] If b w-1 < b w+1 , set the wth life node and the (w + 1)th node as the second-level life nodes at the current monitoring time node;

[0030] If b w-1 > b w+1 , set the wth life node and the (w - 1)th node as the second-level life nodes at the current monitoring time node;

[0031] Generate the first-level remaining life k at the current monitoring time node according to the second-level life nodes.

[0032] In some embodiments of the present application, when generating the first-level remaining life k at the current monitoring time node according to the second-level life nodes, it includes:

[0033] k = k1 + {b w / [(b w-1 , b w+1 ) + b w} * Y * Δk;

[0034] Wherein, k1 is the remaining life corresponding to the wth life node; (b w-1 , b w+1 is a selection function; if b w-1 < b w+1 , (b w-1 , b w+1 ) = b w+1； If b w-1 > b w+1 , (b w-1 , b w+1 ) = b w-1 ; Y is a selection coefficient, if b w-1 < b w+1 , Y = -1; if b w-1 > b w+1 , Y = 1; Δk is the difference in remaining life between any two adjacent life nodes.

[0035] In some embodiments of the present application, when generating the primary loss difference of each monitoring time node, it includes:

[0036] Get the first-level remaining life k and cumulative running time of the current monitoring time node;

[0037] Generate the expected remaining life k' of the current monitoring time node based on the accumulated running time;

[0038] The first-level loss difference d is generated based on the expected remaining life k' and the first-level remaining life k at the current monitoring time node, where d=k'-k.

[0039] In some embodiments of the present application, when the environment correction model is preset, it includes:

[0040] Generate multiple environmental loss indicators and establish multiple loss scenarios based on all environmental loss indicators;

[0041] Establish a loss scenario sequence H, H = (h1, h2…hi…hr), where hi is the i-th loss scenario; r is the number of loss scenarios;

[0042] According to the loss scenario sequence H, hi is set as the target loss scenario in sequence;

[0043] Generate unit loss amount of target loss scenario based on historical parameters;

[0044] Generate the unit loss amount of each loss scenario in turn;

[0045] Establish unit loss series P, P=(p1, p2…p i …p r ), where pi is the unit loss of the i-th loss scenario;

[0046] An environmental correction model is constructed based on the loss scenario series H and the unit loss amount series P.

[0047] In some embodiments of the present application, when generating the secondary loss difference of each monitoring time node according to the correction result, it includes:

[0048] Generate a target monitoring cycle based on the current monitoring time node and the previous monitoring time node;

[0049] Obtaining environmental parameters of the organic electroluminescent panel within a target monitoring period;

[0050] Establish multiple time intervals within the target monitoring period;

[0051] Generate a time interval sequence T, T = (t1, t2…ti…tm), where ti is the i-th time interval and m is the number of time intervals in the target monitoring period;

[0052] Set ti as the target time interval in sequence;

[0053] Select the target loss scenario for the target time interval and generate the primary unit loss quantity for the target time interval;

[0054] Generate the primary unit loss quantity for each time interval in sequence;

[0055] Establish a sequence of primary unit loss quantities P1, P1 = (p 11 , p 12 … p 1i … p 1m ), where p 1i is the primary unit loss quantity for the i-th time interval;

[0056] Correct the primary loss difference d at the current time node according to the sequence of primary unit loss quantities P1;

[0057] Generate the secondary loss difference d1 at the current monitoring time node;

[0058] d1 = d - [β * ( p 1i )];

[0059] where β is a compensation coefficient set based on the operating parameters of the target monitoring period.

[0060] In some embodiments of the present application, when determining whether to generate a warning instruction, it includes;

[0061] Generate the loss evaluation value f at the current monitoring time node;

[0062] f = e1 * Q1 * [β * ( p 1i )] + e2 * Q2 * (d1 - Δk);

[0063] where e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; Δk is the remaining life difference between any two adjacent life nodes;

[0064] Preset a first loss evaluation value threshold F1 and a second loss value evaluation threshold F2, and F1 < F2;

[0065] If f < F1, no primary loss warning instruction is generated at the current monitoring time node;

[0066] If F1 ≤ f < F2, a primary loss warning instruction is generated at the current monitoring time node;

[0067] If f ≥ F2, a secondary loss warning instruction is generated at the current monitoring time node.

[0068] In some embodiments of the present application, when determining whether to generate a warning instruction, it further includes:

[0069] Presetting a first remaining life threshold K1;

[0070] Obtaining the first-level remaining life k at the current monitoring time node;

[0071] If η*k < K1, a first-level life warning instruction is generated at the current monitoring time node;

[0072] Where η is a correction coefficient set based on the loss evaluation value f at the current monitoring time node.

[0073] Compared with the prior art, the beneficial effects of a life monitoring method for an organic electroluminescent panel in an embodiment of the present application are as follows:

[0074] An expected life curve of the organic electroluminescent panel is established according to historical data, multiple life nodes are constructed, multiple life monitoring indicators are generated through feature analysis, and an expected operation curve of each life monitoring indicator is constructed, thereby generating a comparison data packet for each life node. By analyzing and comparing the monitoring data at the real-time monitoring time node, the first-level remaining life of the organic electroluminescent panel is generated, and the organic electroluminescent panel whose remaining life cannot meet the operation requirements is timely repaired and replaced to ensure the stable operation of the system.

[0075] Multiple loss indicators are generated according to historical parameters, and by constructing multiple loss scenarios, the loss state of the organic electric panel within a single monitoring cycle is analyzed, and the organic electroluminescent panel with abnormal loss is timely repaired to improve its actual service life. Description of the Drawings

[0076] Figure 1 It is a schematic flow chart of a life monitoring method for an organic electroluminescent panel in a preferred embodiment of an embodiment of the present application. Detailed Embodiments

[0077] The following combines the drawings and embodiments to further describe in detail the specific embodiments of the present application. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0078] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present application.

[0079] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0080] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0081] like Figure 1 As shown, a method for monitoring the life of an organic electroluminescent panel according to a preferred embodiment of the present application includes:

[0082] S101: generating an expected life curve based on device parameters of the organic electroluminescent panel, and setting a plurality of life nodes;

[0083] S102: Acquire monitoring data of the organic electroluminescent panel according to preset monitoring time nodes, and generate a primary remaining life and a primary loss difference at each monitoring time node;

[0084] S103: Correcting the primary loss difference value of each monitoring time node according to a preset environmental model, and generating the secondary loss difference value of each monitoring time node according to the correction result;

[0085] S104: Determine whether to generate an early warning instruction based on the secondary loss difference and primary remaining life of each monitoring point.

[0086] Specifically, due to differences in the structure and materials used of organic electroluminescent panels, life tests are conducted on different types of organic electroluminescent panels, corresponding life monitoring indicators are extracted, and corresponding expected life curves are constructed.

[0087] Specifically, when setting multiple life nodes, it includes:

[0088] Generate multiple life monitoring indicators;

[0089] Establish a life node sequence A, A=(a1,a2…a i …a n ), where ai is the i-th life node; n is the number of life nodes;

[0090] Sequentially set the i-th life node as the target life node;

[0091] Generate characteristic parameters of each life monitoring indicator at the target life node based on historical parameters;

[0092] Generate a comparison data packet of the target life node;

[0093] Generate comparison data packets for each life node in turn.

[0094] Specifically, the life monitoring indicators include, but are not limited to, luminous brightness, number of black spots and other parameters that fluctuate with the cumulative operating time of the organic electroluminescent panel.

[0095] Specifically, the time intervals between adjacent life nodes are the same, and the time intervals and the number of life nodes can be set according to the device parameters of the organic electroluminescent surface.

[0096] Specifically, its expected life curve refers to the life curve of the organic electroluminescent panel under ideal conditions.

[0097] It is understandable that in the above embodiment, by performing a life test on the organic electroluminescent panel, relevant data is collected for analysis, multiple life monitoring indicators are screened out, and a corresponding expected life curve and multiple life nodes are constructed, thereby constructing a life monitoring model for the organic electroluminescent panel, thereby realizing life monitoring of the organic electroluminescent panel.

[0098] The preferred embodiment of the present application is summarized as follows: when generating the primary remaining life of each monitoring time node, it includes:

[0099] Generate a monitoring data packet of the current monitoring time node according to the monitoring data;

[0100] Generate similarity evaluation values ​​between the monitoring data packet and all comparison data packets;

[0101] Establish the similarity evaluation value sequence B of the current time node, B=(b1,b2…b i …b n ), where b i is the similarity evaluation value between the monitoring data packet and the comparison data packet of the i-th life node;

[0102] Select the maximum similarity evaluation value b in the similarity evaluation value sequence B w ;

[0103] According to the maximum similarity evaluation value b w Generate the first-level remaining life k of the current monitoring time node.

[0104] Specifically, real-time characteristic parameters of each life monitoring index can be generated based on real-time monitoring data packets, and by comparing with the comparison data packets of each life node, the remaining life of the organic electroluminescent panel at the current monitoring time node can be determined.

[0105] Specifically, the higher the coincidence degree between the real-time characteristic parameters of each life monitoring index and the characteristic parameters of each life monitoring index in the corresponding comparison data packet, the greater the corresponding similarity evaluation value.

[0106] Specifically, when generating the first-level remaining life k at the current monitoring time node according to the maximum similarity evaluation value bw, it includes:

[0107] Preset the first similarity evaluation value threshold B1;

[0108] When b w > B1, set the remaining life corresponding to the w-th life node as the first-level remaining life k at the current monitoring time node;

[0109] When b w < B1, obtain the similarity evaluation value b w-1 and the similarity evaluation value b w+1 ;

[0110] If b w-1 < b w+1 , set the w-th life node and the w + 1-th node as the second-level life nodes at the current monitoring time node;

[0111] If b w-1 > b w+1 , set the w-th life node and the w - 1-th node as the second-level life nodes at the current monitoring time node;

[0112] Generate the first-level remaining life k at the current monitoring time node according to the second-level life nodes.

[0113] Specifically, when generating the first-level remaining life k at the current monitoring time node according to the second-level life nodes, it includes:

[0114] k = k1 + {b w / [(b w-1 , b w+1 ) + b w} * Y * Δk;

[0115] Among them, k1 is the remaining life corresponding to the w-th life node; (b w-1 , b w+1 is a selection function; if b w-1 < b w+1 , (b w-1 , b w+1 ) = b w+1； If bw-1 >b w+1 , (b w-1 ,b w+1 )=b w-1 ;Y is the selection coefficient, if b w-1 w+1 , Y=-1; if b w-1 >b w+1 , Y=1; Δk is the remaining life difference between any two adjacent life nodes.

[0116] Specifically, when the maximum similarity evaluation value is greater than the preset similarity evaluation value threshold, it means that the corresponding life node is the first-level life node of the current monitoring time node, and the first-level remaining life of the current monitoring time node is generated according to the remaining life corresponding to the life node.

[0117] Specifically, when the maximum similarity evaluation value is less than the similarity evaluation value threshold, it means that the life node corresponding to the current monitoring time node is between two preset life nodes. Through weighted analysis, the life node corresponding to the current monitoring time node is generated, and the corresponding first-level remaining life k is generated, thereby improving the life diagnosis accuracy of the organic electroluminescent panel.

[0118] It can be understood that in the above embodiment, an expected life curve of the organic electroluminescent panel is established based on historical data, multiple life nodes are constructed, multiple life monitoring indicators are generated through feature analysis, and the expected operation curve of each life monitoring indicator is constructed, thereby generating a comparison data packet for each life node, and generating a first-level remaining life of the organic electroluminescent panel by analyzing and comparing the monitoring data of the real-time monitoring time node, thereby improving the accuracy of life diagnosis for the organic electroluminescent panel, and promptly repairing and replacing the organic electroluminescent panel whose remaining life cannot meet the operating requirements, to ensure the stable operation of the system.

[0119] In a preferred embodiment of the present application, when generating the primary loss difference of each monitoring time node, it includes:

[0120] Get the first-level remaining life k and cumulative running time of the current monitoring time node;

[0121] Generate the expected remaining life k' of the current monitoring time node based on the accumulated running time;

[0122] The first-level loss difference d is generated based on the expected remaining life k' and the first-level remaining life k at the current monitoring time node, where d=k'-k.

[0123] Specifically, when presetting the environmental correction model, it includes:

[0124] Generate multiple environmental loss indicators and establish multiple loss scenarios based on all environmental loss indicators;​

[0125] Establish a loss scenario sequence H, H = (h1, h2…hi…hr), where hi is the i-th loss scenario; r is the number of loss scenarios;

[0126] According to the loss scenario sequence H, hi is set as the target loss scenario in sequence;

[0127] Generate unit loss amount of target loss scenario based on historical parameters;

[0128] Generate the unit loss amount of each loss scenario in turn;

[0129] Establish unit loss series P, P=(p1, p2…p i …p r ), where pi is the unit loss of the i-th loss scenario;

[0130] An environmental correction model is constructed based on the loss scenario series H and the unit loss amount series P.

[0131] Specifically, environmental loss indicators include but are not limited to parameters such as environmental humidity, water and oxygen content, and environmental temperature.

[0132] Specifically, the unit loss refers to the additional life loss per unit time when the organic electroluminescent panel operates under the current loss environment.

[0133] Specifically, multiple value intervals for each environmental loss indicator are set in turn, and multiple loss scenarios are constructed based on their random combination results.

[0134] Specifically, when generating the secondary loss difference of each monitoring time node according to the correction result, it includes:

[0135] Generate a target monitoring cycle based on the current monitoring time node and the previous monitoring time node;

[0136] Obtaining environmental parameters of the organic electroluminescent panel within a target monitoring period;

[0137] Establish multiple time intervals within the target monitoring period;

[0138] Generate a time interval sequence T, T = (t1, t2…ti…tm), where ti is the i-th time interval and m is the number of time intervals in the target monitoring period;

[0139] Set ti as the target time interval in sequence;

[0140] Select the target loss scenario for the target time interval and generate the first-level unit loss amount for the target time interval;

[0141] Generate the first-level unit loss amount of each time interval in sequence;

[0142] Establish the first-level unit loss series P1, P1=(p 11 , p 12 …p 1i …p 1m ), where p 1i is the first-level unit loss in the i-th time interval;

[0143] Correct the primary loss difference d at the current time node according to the primary unit loss series P1;

[0144] Generate the secondary loss difference d1 of the current monitoring time node;

[0145] d1=d-[β*( p 1i )];

[0146] Among them, β is the compensation coefficient set based on the operating parameters of the target monitoring period.

[0147] Specifically, the greater the difference in secondary loss, the greater the possibility that there is abnormal operation inside the organic electroluminescent panel, which leads to a reduction in the operating life of the organic electroluminescent panel. For example, if the uniformity of the substrate is not good, burrs will appear on the ITO surface, and these burrs will easily form a tip discharge phenomenon. The tip discharge phenomenon will cause leakage or short circuit in the organic electroluminescent panel, thereby reducing its operating life.

[0148] Specifically, the compensation coefficient is set based on the operating parameters of the target monitoring cycle, mainly according to the number and type of faults within the target monitoring cycle. The larger the compensation coefficient, the more unstable the operation of the organic electroluminescent panel within the target monitoring cycle.

[0149] It can be understood that in the above embodiment, by constructing an environmental correction model, the loss difference of the organic electroluminescent panel within a single monitoring cycle is analyzed, timely warning of internal abnormal operation problems is given, and the organic electroluminescent panel with abnormal loss is promptly repaired to increase its actual service life.

[0150] In a preferred embodiment of the present application, when determining whether to generate a warning instruction, it includes:

[0151] Generate the loss evaluation value f of the current monitoring time node;

[0152] f=e1*Q1*[β*( p 1i )]+e2*Q2*(d1-Δk);

[0153] Wherein, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; Δk is the remaining life difference between any two adjacent life nodes;

[0154] A preset first loss evaluation value threshold F1 and a second loss value evaluation threshold F2, and F1 < F2;

[0155] If f < F1, a first-level loss warning instruction is not generated at the current monitoring time node;

[0156] If F1 ≤ f < F2, a first-level loss warning instruction is generated at the current monitoring time node;

[0157] If f ≥ F2, a second-level loss warning instruction is generated at the current monitoring time node.

[0158] Specifically, all parameters in the model are normalized by presetting the first fixed coefficient and the second fixed coefficient, so that each parameter is within the same value range.

[0159] Specifically, the larger the loss evaluation value is, the greater the possibility that the current organic electroluminescent panel is affected by internal abnormal operation and external environmental interference, resulting in a reduction in its operating life. It is necessary to perform maintenance and adjustment in a timely manner to ensure the stable operation of the organic electroluminescent panel and improve its service life.

[0160] Specifically, the first-level loss warning instruction indicates that the current organic electroluminescent panel has abnormal operation, which may reduce its actual service life, and it is necessary to perform maintenance and treatment in a timely manner.

[0161] The second-level loss warning instruction indicates that the current organic electroluminescent panel has serious abnormal operation, which will cause a significant reduction in its actual service life, and it is necessary to perform maintenance and treatment immediately to ensure its stable operation.

[0162] Specifically, when judging whether to generate a warning instruction, it also includes:

[0163] A preset first remaining life threshold K1;

[0164] Obtain the first remaining life k at the current monitoring time node;

[0165] If η*k < K1, a first-level life warning instruction is generated at the current monitoring time node;

[0166] Wherein, η is a correction coefficient set based on the loss evaluation value f at the current monitoring time node.

[0167] Specifically, η < 1, and the larger the loss evaluation value is, the smaller the corresponding correction coefficient η is.

[0168] Specifically, the first-level life warning instruction means that the current organic electroluminescent panel cannot operate stably within the remaining use cycle and cannot meet the operating requirements. It needs to be inspected and replaced in time to ensure the stable operation of the system.

[0169] According to the first concept of the present application, an expected life curve of the organic electroluminescent panel is established based on historical data, multiple life nodes are constructed, multiple life monitoring indicators are generated through feature analysis, and an expected operation curve of each life monitoring indicator is constructed, thereby generating a comparison data packet for each life node, and generating a first-level remaining life of the organic electroluminescent panel by analyzing and comparing the monitoring data of the real-time monitoring time nodes. The organic electroluminescent panels whose remaining life cannot meet the operating requirements are promptly repaired and replaced to ensure the stable operation of the system.

[0170] According to the second concept of the present application, multiple loss indicators are generated based on historical parameters, and by constructing multiple loss scenarios, the loss status of the organic electroluminescent panel within a single monitoring cycle is analyzed, and the organic electroluminescent panel with abnormal loss is promptly repaired to increase its actual service life.

[0171] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring the life of an organic electroluminescent panel, characterized in that: include: Generate an expected life curve based on device parameters of the organic electroluminescent panel and set multiple life nodes; Acquire monitoring data of the organic electroluminescent panel according to preset monitoring time nodes, and generate the primary remaining life and primary loss difference of each monitoring time node; Correct the primary loss difference of each monitoring time node according to the preset environmental model, and generate the secondary loss difference of each monitoring time node according to the correction result; Determine whether to generate an early warning instruction based on the difference in secondary loss and primary remaining life of each monitoring point; The setting of multiple life nodes includes: Generate multiple life monitoring indicators; Establish a life node sequence A, A=(a1,a2…a i …a n ), where ai is the i-th life node; n is the number of life nodes; Sequentially set the i-th life node as the target life node; Generate characteristic parameters of each life monitoring indicator at the target life node based on historical parameters; Generate a comparison data packet of the target life node; Generate comparison data packets for each life node in sequence; When generating the primary remaining life at each monitoring time node, it includes: Generate a monitoring data packet of the current monitoring time node according to the monitoring data; Generate similarity evaluation values ​​between the monitoring data packet and all comparison data packets; Establish the similarity evaluation value sequence B of the current time node, B=(b1,b2…b i …b n ), where b i is the similarity evaluation value between the monitoring data packet and the comparison data packet of the i-th life node; Select the maximum similarity evaluation value b in the similarity evaluation value sequence B w ; According to the maximum similarity evaluation value b w Generate the first-level remaining life k of the current monitoring time node; When generating the primary loss difference value for each monitoring time node, it includes: Get the first-level remaining life k and cumulative running time of the current monitoring time node; Generate the expected remaining life k' of the current monitoring time node based on the accumulated running time; The first-level loss difference d is generated based on the expected remaining life k' and the first-level remaining life k at the current monitoring time node, where d=k'-k.

2. The method for monitoring the life of an organic electroluminescent panel according to claim 1, wherein: When generating the primary remaining life k of the current monitoring time node according to the maximum similarity evaluation value bw, it includes: Preset the first similarity evaluation value threshold B1; When b w >B1, set the remaining life corresponding to the wth life node to the first-level remaining life k of the current monitoring time node; When b w <B1, obtain the similarity evaluation value b w-1 and the similarity evaluation value b w+1 ; If b w-1 w+1 , set the wth life node and the w+1th node as the secondary life nodes of the current monitoring time node;​ If b w-1 >b w+1 , set the wth life node and the w-1th node as the secondary life nodes of the current monitoring time node; Generate the first-level remaining life k of the current monitoring time node based on the second-level life node.

3. The method for monitoring the life of an organic electroluminescent panel according to claim 2, wherein: When generating the primary remaining life k of the current monitoring time node according to the secondary life node, it includes: k=k1+{b w / [(b w-1 ,b w+1 )+b w ]}*Y*Δk; Where k1 is the remaining life corresponding to the wth life node; (b w-1 ,b w+1） is the selection function; if b w-1 w+1 , (b w-1 ,b w+1 )=b w+1； If b w-1 >b w+1 , (b w-1 ,b w+1 )=b w-1 ;Y is the selection coefficient, if b w-1 w+1 , Y=-1; if b w-1 >b w+1 , Y=1; Δk is the remaining life difference between any two adjacent life nodes.​​ 4. The method for monitoring the life of an organic electroluminescent panel according to claim 3, wherein: When presetting the environmental correction model, include: Generate multiple environmental loss indicators and establish multiple loss scenarios based on all environmental loss indicators; Establish a loss scenario sequence H, H = (h1, h2…hi…hr), where hi is the i-th loss scenario; r is the number of loss scenarios; According to the loss scenario sequence H, hi is set as the target loss scenario in sequence; Generate unit loss amount of target loss scenario based on historical parameters; Generate the unit loss amount of each loss scenario in turn; Establish unit loss series P, P=(p1, p2…p i …p r ), where pi is the unit loss of the i-th loss scenario; An environmental correction model is constructed based on the loss scenario series H and the unit loss amount series P.

5. The method for monitoring the life of an organic electroluminescent panel according to claim 4, characterized in that: When generating the secondary loss difference of each monitoring time node according to the correction result, it includes: Generate a target monitoring cycle based on the current monitoring time node and the previous monitoring time node; Obtaining environmental parameters of the organic electroluminescent panel within a target monitoring period; Establish multiple time intervals within the target monitoring period; Generate a time interval sequence T, T = (t1, t2…ti…tm), where ti is the i-th time interval and m is the number of time intervals in the target monitoring period; Set ti as the target time interval in sequence; Select the target loss scenario for the target time interval and generate the first-level unit loss amount for the target time interval; Generate the first-level unit loss amount of each time interval in sequence; Establish the first-level unit loss series P1, P1=(p 11 , p 12 …p 1i …p 1m ), where p 1i is the first-level unit loss in the i-th time interval; Modify the primary loss difference d at the current time node according to the primary unit loss quantity sequence P1; Generate the secondary loss difference d1 at the current monitoring time node; d1=d-[β*( p 1i )]; where β is a compensation coefficient set for the operating parameters based on the target monitoring period.

6. The method for monitoring the life of an organic electroluminescent panel according to claim 5, characterized in that: When determining whether to generate a warning instruction, it includes; Generate the loss evaluation value f at the current monitoring time node; f=e1*Q1*[β*( p 1i )]+e2*Q2*(d1-Δk); where e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; Δk is the remaining life difference between any two adjacent life nodes; Preset the first loss evaluation value threshold F1 and the second loss value evaluation threshold F2, and F1 < F2; If f < F1, no primary loss warning instruction is generated at the current monitoring time node; If F1 ≤ f < F2, a primary loss warning instruction is generated at the current monitoring time node; If f ≥ F2, a secondary loss warning instruction is generated at the current monitoring time node.

7. The method for monitoring the life of an organic electroluminescent panel according to claim 6, wherein: When determining whether to generate a warning instruction, it also includes: Preset the first remaining life threshold K1; Obtain the primary remaining life k at the current monitoring time node; If η * k < K1, a primary life warning instruction is generated at the current monitoring time node; where η is a correction coefficient set based on the loss evaluation value f at the current monitoring time node.

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