Abnormality monitoring and early warning method and system for light-emitting display

Abstract

The invention relates to the technical field of abnormity monitoring and early warning, and discloses an abnormity monitoring and early warning method and system for a light-emitting display, and the method comprises the steps: dividing the light-emitting display into a plurality of abnormity monitoring regions, collecting the light-emitting display data of each abnormity monitoring region, and generating a monitoring identifier for the light-emitting display; when the unknown monitoring identifier is identified, recombining the light-emitting display data corresponding to the abnormal monitoring area to obtain a plurality of light-emitting display data groups, and calculating sub light-emitting display data evaluation factors of the light-emitting display; determining a sub light-emitting display data evaluation factor sequence, and calculating a multi-dimensional data anomaly monitoring factor of the light-emitting display; whether abnormal operation or potential abnormal operation exists in the light-emitting display is judged according to the multi-dimensional data anomaly monitoring factors, if yes, an alarm is given, multi-dimensional anomaly monitoring of the whole life cycle of the light-emitting display is achieved, anomaly monitoring precision and comprehensiveness of the light-emitting display are guaranteed, potential anomaly is early warned in time, and the safety of the light-emitting display is improved. And further damage to the light-emitting display is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal monitoring and early warning, and in particular, to a method and system for abnormal monitoring and early warning of a light-emitting display. Background Art

[0002] With the rapid development of display technology, light-emitting displays have been widely used in fields such as smart phones, tablet computers, televisions, vehicle-mounted displays, and wearable devices. Compared with traditional liquid crystal displays, light-emitting displays have advantages such as self-luminescence, high contrast, wide viewing angles, and flexibility and bendability. However, they also face challenges in terms of reliability and stability.

[0003] Some existing abnormal monitoring and early warning methods determine whether the screen of a preset light-emitting display is qualified through image acquisition and comparison, mainly relying on manual visual inspection to check whether there are problems such as screen distortion, white screen, black screen, color cast, and burn-in on the display. This method is highly subjective, inefficient, costly, and difficult to implement regular cyclic testing, resulting in the inability to detect some potential abnormalities (such as dynamic burn-in and local brightness attenuation) in a timely manner and the inability to achieve multi-dimensional detection, and the detection method is relatively single. Summary of the Invention

[0004] Embodiments of the present invention provide a method and system for abnormal monitoring and early warning of a light-emitting display. The present invention realizes multi-dimensional abnormal monitoring of the entire life cycle of a light-emitting display from startup to long-term use, ensures the accuracy and comprehensiveness of abnormal monitoring of the light-emitting display, and can also give early warnings of some potential abnormalities in a timely manner to avoid further damage to the light-emitting display.

[0005] To achieve the above object, the present invention provides a method for abnormal monitoring and early warning of a light-emitting display, including: Dividing the light-emitting display into multiple abnormal monitoring areas, collecting multiple groups of light-emitting display data for each abnormal monitoring area, and generating a monitoring identifier for the light-emitting display according to all the light-emitting display data, where the monitoring identifier includes an abnormal monitoring identifier, a safety monitoring identifier, and an unknown monitoring identifier; When the unknown monitoring identifier is recognized, the light-emitting display data corresponding to each abnormal monitoring area is recombined to obtain multiple groups of light-emitting display data, and a sub-light-emitting display data evaluation factor of the light-emitting display is calculated according to each group of light-emitting display data; Analyzing all the sub-light-emitting display data evaluation factors, determining multiple sub-light-emitting display data evaluation factor sequences based on the analysis results, and calculating a multi-dimensional data abnormal monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequences; Based on the relationship between the multi-dimensional data anomaly monitoring factors and the preset multi-dimensional data anomaly monitoring factors, determine whether the light-emitting display has abnormal operation or potential abnormal operation. If so, issue an alarm.

[0006] Further, when collecting multiple groups of light-emitting display data for each anomaly monitoring area and generating a monitoring identifier for the light-emitting display based on all the light-emitting display data, it includes: Obtain the safe light-emitting display data corresponding to each light-emitting display data. When all the light-emitting display data are less than the safe light-emitting display data, generate the safe monitoring identifier for the light-emitting display; When all the light-emitting display data are greater than or equal to the safe light-emitting display data, generate the anomaly monitoring identifier for the light-emitting display; When there is light-emitting display data less than the safe light-emitting display data and there is light-emitting display data greater than or equal to the safe light-emitting display data, generate the unknown monitoring identifier for the light-emitting display.

[0007] Further, when reorganizing the light-emitting display data corresponding to each anomaly monitoring area to obtain multiple light-emitting display data groups and calculating the sub-light-emitting display data evaluation factor of the light-emitting display according to each light-emitting display data group, it includes: Randomly extract a light-emitting display data from the light-emitting display data group as the first extracted light-emitting display data; Determine the first difference between each remaining light-emitting display data in the light-emitting display data group and the first extracted light-emitting display data; Determine the maximum first difference from all the first differences and generate a maximum difference mark; Randomly extract the q-th light-emitting display data from the light-emitting display data group as the q-th extracted light-emitting display data, where q is the number of light-emitting display data in the light-emitting display data group; Determine the q-th difference between each remaining light-emitting display data in the light-emitting display data group and the q-th extracted light-emitting display data; Determine the maximum q-th difference from all the q-th differences and generate a maximum difference mark; Extract the maximum light-emitting display data corresponding to all the maximum difference marks and determine whether there are the same maximum light-emitting display data. If so, calculate the sum of the maximum same light-emitting display data of all the same maximum light-emitting display data; Calculate the sum of the maximum non-identical light-emitting display data of the remaining maximum light-emitting display data corresponding to the maximum difference marks; Determine the ratio of the sum of the maximum same light-emitting display data to the sum of the maximum non-identical light-emitting display data as the sub-light-emitting display data evaluation factor of the light-emitting display; If not, select the maximum luminescence display data and the minimum luminescence display data from the maximum luminescence display data corresponding to the maximum difference marker; Determine the extreme difference between the maximum luminescence display data and the minimum luminescence display data; Determine the sum of the remaining luminescence display data of the remaining maximum luminescence display data corresponding to the maximum difference marker; Determine the ratio of the extreme difference to the sum of the remaining luminescence display data as the sub-luminescence display data evaluation factor of the luminescence display.

[0008] Furthermore, when analyzing all sub-luminescence display data evaluation factors and determining multiple sub-luminescence display data evaluation factor sequences based on the analysis results, it includes: Determine the first characteristic factor and the second characteristic factor of all sub-luminescence display data evaluation factors; Extract all sub-luminescence display data evaluation factors greater than the first characteristic factor to generate a first sub-luminescence display data evaluation factor sequence; Extract all sub-luminescence display data evaluation factors less than the second characteristic factor to generate a second sub-luminescence display data evaluation factor sequence; Judge whether there is an intersection between the first sub-luminescence display data evaluation factor sequence and the second sub-luminescence display data evaluation factor sequence. If so, extract all the intersection sub-luminescence display data evaluation factors and generate an intersection sub-luminescence display data evaluation factor sequence.

[0009] Furthermore, when calculating the multi-dimensional data anomaly monitoring factor of the luminescence display according to the sub-luminescence display data evaluation factor sequence, it includes: Calculate the first multi-dimensional data anomaly monitoring factor of the luminescence display according to the first sub-luminescence display data evaluation factor sequence: ; wherein, w1 is the first multi-dimensional data anomaly monitoring factor of the luminescence display, r1 is the number of sub-luminescence display data evaluation factors in the first sub-luminescence display data evaluation factor sequence, y e is the e-th sub-luminescence display data evaluation factor in the first sub-luminescence display data evaluation factor sequence, t is the first characteristic factor, is for all the minimum value; Calculate the second multi-dimensional data anomaly monitoring factor of the luminescence display according to the second sub-luminescence display data evaluation factor sequence: ; Among them, w2 is the second multi-dimensional data anomaly monitoring factor of the light-emitting display, r2 is the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence, and u i is the i-th sub-light-emitting display data evaluation factor in the second sub-light-emitting display data evaluation factor sequence, p is the first characteristic factor, is the minimum value of all ; Determine the initial multi-dimensional data anomaly monitoring factor of the light-emitting display based on the first multi-dimensional data anomaly monitoring factor and the second multi-dimensional data anomaly monitoring factor.

[0010] Furthermore, when calculating the multi-dimensional data anomaly monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequence, it further includes: Judge whether there is an intersection sub-light-emitting display data evaluation factor sequence. If not, use the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; If so, count the intersection quantity of the intersection sub-light-emitting display data evaluation factors in the intersection sub-light-emitting display data evaluation factor sequence; Determine the factor distribution coefficient of the light-emitting display based on the intersection quantity, the number of sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence, and the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence; Adjust the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the light-emitting display.

[0011] Furthermore, when adjusting the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the light-emitting display, it includes: Preset a first preset factor distribution coefficient and a second preset factor distribution coefficient in advance; Preset a first preset adjustment value, a second preset adjustment value, and a third preset adjustment in advance; When the factor distribution coefficient is less than the first preset factor distribution coefficient, determine the product value of the first preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; When the factor distribution coefficient is greater than or equal to the first preset factor distribution coefficient and less than the second preset factor distribution coefficient, determine the product value of the second preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; When the factor distribution coefficient is greater than or equal to the second preset factor distribution coefficient, the product value of the third preset adjustment value and the initial multi-dimensional data anomaly monitoring factor is determined as the multi-dimensional data anomaly monitoring factor of the light-emitting display.

[0012] Further, when judging whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, it includes: Judging whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, wherein the preset multi-dimensional data anomaly monitoring factor includes a potential preset multi-dimensional data anomaly monitoring factor and an abnormal preset multi-dimensional data anomaly monitoring factor; When the multi-dimensional data anomaly monitoring factor is less than the potential preset multi-dimensional data anomaly monitoring factor, it is judged that the light-emitting display is operating safely; When the multi-dimensional data anomaly monitoring factor is greater than or equal to the potential preset multi-dimensional data anomaly monitoring factor and less than the abnormal preset multi-dimensional data anomaly monitoring factor, it is judged that the light-emitting display is in potential abnormal operation, and a potential abnormal warning is issued; When the multi-dimensional data anomaly monitoring factor is greater than or equal to the abnormal preset multi-dimensional data anomaly monitoring factor, it is judged that the light-emitting display is in abnormal operation, and an abnormal alarm is issued.

[0013] To achieve the above object, the present invention also provides an abnormal monitoring and warning system for a light-emitting display, including: An identification generation module, configured to divide the light-emitting display into multiple abnormal monitoring areas, collect multiple groups of light-emitting display data of each abnormal monitoring area, and generate a monitoring identification for the light-emitting display according to all the light-emitting display data, wherein the monitoring identification includes an abnormal monitoring identification, a safety monitoring identification, and an unknown monitoring identification; A first calculation module, configured to, when the unknown monitoring identification is recognized, reorganize the light-emitting display data corresponding to each abnormal monitoring area to obtain multiple light-emitting display data groups, and calculate the sub-light-emitting display data evaluation factor of the light-emitting display according to each light-emitting display data group; A second calculation module, configured to analyze all the sub-light-emitting display data evaluation factors, determine multiple sub-light-emitting display data evaluation factor sequences based on the analysis results, and calculate the multi-dimensional data anomaly monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequences; An anomaly monitoring module, which is configured to determine whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factors and the preset multi-dimensional data anomaly monitoring factors, and if so, issue an alarm.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses an abnormal monitoring and early warning method and system for a light-emitting display, which divides the light-emitting display into multiple abnormal monitoring areas, collects the light-emitting display data of each abnormal monitoring area, generates a monitoring identifier for the light-emitting display; when an unknown monitoring identifier is recognized, reorganizes the light-emitting display data corresponding to the abnormal monitoring area to obtain multiple light-emitting display data groups, calculates the sub-light-emitting display data evaluation factor of the light-emitting display; determines the sub-light-emitting display data evaluation factor sequence, and calculates the multi-dimensional data anomaly monitoring factor of the light-emitting display; determines whether the light-emitting display has abnormal operation or potential abnormal operation according to the multi-dimensional data anomaly monitoring factor, and if so, issues an alarm, realizing multi-dimensional abnormal monitoring of the entire life cycle of the light-emitting display, ensuring the accuracy and comprehensiveness of the abnormal monitoring of the light-emitting display, giving early warning of potential anomalies in a timely manner, and avoiding further damage to the light-emitting display. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1 Shows a schematic flowchart of an abnormal monitoring and early warning method for a light-emitting display in an embodiment of the present invention; Figure 2 Shows a schematic structural diagram of an abnormal monitoring and early warning system for a light-emitting display in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The following further describes in detail the specific embodiments of the present invention with reference to the drawings and embodiments. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0017] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are 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.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0019] In the description of this application, it should be noted that, unless otherwise clearly specified and defined, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] The following is a description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0021] As Figure 1 shown, the embodiments of the present invention disclose an abnormal monitoring and early warning method for a light-emitting display, including: S110: Divide the light-emitting display into a plurality of abnormal monitoring areas, collect multiple groups of light-emitting display data for each abnormal monitoring area, and generate a monitoring identifier for the light-emitting display according to all the light-emitting display data, where the monitoring identifier includes an abnormal monitoring identifier, a safety monitoring identifier, and an unknown monitoring identifier; In some embodiments of this application, when collecting multiple groups of light-emitting display data for each abnormal monitoring area and generating a monitoring identifier for the light-emitting display according to all the light-emitting display data, it includes: Obtain the safety light-emitting display data corresponding to each light-emitting display data. When all the light-emitting display data are less than the safety light-emitting display data, then generate the safety monitoring identifier for the light-emitting display; When all the light-emitting display data are greater than or equal to the safety light-emitting display data, then generate the abnormal monitoring identifier for the light-emitting display; When there is light-emitting display data less than the safety light-emitting display data and there is light-emitting display data greater than or equal to the safety light-emitting display data, then generate the unknown monitoring identifier for the light-emitting display.

[0022] In this embodiment, the number of divided abnormal monitoring areas is preferably 10, and can be specifically adjusted according to the actual situation.

[0023] In this embodiment, the light-emitting display data includes the light-emitting voltage, light-emitting current, light-emitting temperature, etc. The light-emitting display data refers to the data generated during the light-emitting process of the light-emitting display.

[0024] In this embodiment, each piece of light-emitting display data corresponds to a piece of safe light-emitting display data, which is used to determine whether the light-emitting display data is safe.

[0025] In this embodiment, when all the light-emitting display data is less than the safe light-emitting display data, there is no abnormality at this time.

[0026] In this embodiment, when all the light-emitting display data is greater than or equal to the safe light-emitting display data, an abnormal monitoring identifier is generated at this time, and an abnormal alarm is issued.

[0027] In this embodiment, when there is light-emitting display data less than the safe light-emitting display data and there is light-emitting display data greater than or equal to the safe light-emitting display data, it is impossible to directly determine whether there is an abnormality at this time, and further judgment is required.

[0028] The beneficial effects of the above technical solution are as follows: The present invention collects multiple groups of light-emitting display data for each abnormal monitoring area, and generates a monitoring identifier for the light-emitting display according to all the light-emitting display data, which can realize the initial judgment of the light-emitting display, generate an unknown monitoring identifier for the light-emitting display, and further ensure the abnormal monitoring accuracy of the light-emitting display.

[0029] S120: When the unknown monitoring identifier is recognized, the light-emitting display data corresponding to each abnormal monitoring area is recombined to obtain multiple groups of light-emitting display data, and the sub-light-emitting display data evaluation factor of the light-emitting display is calculated according to each group of light-emitting display data; In some embodiments of the present application, when recombining the light-emitting display data corresponding to each abnormal monitoring area to obtain multiple groups of light-emitting display data and calculating the sub-light-emitting display data evaluation factor of the light-emitting display according to each group of light-emitting display data, it includes: Randomly extract a piece of light-emitting display data from the group of light-emitting display data as the first extracted light-emitting display data; Determine the first difference between each remaining piece of light-emitting display data in the group of light-emitting display data and the first extracted light-emitting display data; Determine the maximum first difference from all the first differences and generate a maximum difference mark; Randomly extract the qth piece of light-emitting display data from the group of light-emitting display data as the qth extracted light-emitting display data, where q is the number of pieces of light-emitting display data in the group of light-emitting display data; Determine the qth difference between each remaining piece of light-emitting display data in the group of light-emitting display data and the qth extracted light-emitting display data; Determine the maximum q-th difference from all the q-th differences, and generate a maximum difference flag; Extract the maximum luminous display data corresponding to all the maximum difference flags, and determine whether there is the same maximum luminous display data. If so, calculate the sum of the maximum identical luminous display data of all the same maximum luminous display data; Calculate the sum of the maximum non-identical luminous display data of the remaining maximum luminous display data corresponding to the maximum difference flag; Determine the ratio of the sum of the maximum identical luminous display data to the sum of the maximum non-identical luminous display data as the sub-luminous display data evaluation factor of the luminous display; If not, select the maximum luminous display data and the minimum luminous display data from the maximum luminous display data corresponding to the maximum difference flag; Determine the extreme difference between the maximum luminous display data and the minimum luminous display data; Determine the sum of the remaining luminous display data of the remaining maximum luminous display data corresponding to the maximum difference flag; Determine the ratio of the extreme difference to the sum of the remaining luminous display data as the sub-luminous display data evaluation factor of the luminous display.

[0030] In this embodiment, when reorganizing the luminous display data corresponding to each abnormal monitoring area, it means reorganizing the same type of luminous display data within each abnormal monitoring area. For example, extracting the luminous current within each abnormal monitoring area to obtain a luminous display data group with only luminous current, or extracting according to the luminous voltage within each abnormal monitoring area to obtain a luminous display data group with only luminous current.

[0031] In this embodiment, determine the absolute value of the difference between each remaining luminous display data and the first extracted luminous display data as the first difference.

[0032] In this embodiment, the sum of the maximum non-identical luminous display data refers to calculating all non-identical luminous display data.

[0033] In this embodiment, determine the difference between the maximum luminous display data and the minimum luminous display data as the extreme difference.

[0034] In this embodiment, determining the sum of the remaining luminous display data of the remaining maximum luminous display data corresponding to the maximum difference flag means excluding the maximum luminous display data and the minimum luminous display data, and the sum value of the remaining maximum luminous display data.

[0035] The beneficial effects of the above technical solution are as follows: The present invention determines the ratio of the maximum identical light-emitting display data sum to the maximum non-identical light-emitting display data sum as the sub-light-emitting display data evaluation factor of the light-emitting display, or determines the ratio of the extreme difference sum to the remaining light-emitting display data sum as the sub-light-emitting display data evaluation factor of the light-emitting display, and determines two different ways of determining the sub-light-emitting display data evaluation factor, ensuring the determination accuracy of the sub-light-emitting display data evaluation factor. The sub-light-emitting display data evaluation factor can reflect the abnormal degree of the light-emitting display of the light-emitting display, providing data support for the abnormal monitoring of the light-emitting display.

[0036] S130: Analyze all sub-light-emitting display data evaluation factors, and determine multiple sub-light-emitting display data evaluation factor sequences based on the analysis results. Calculate the multi-dimensional data abnormal monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequences; In some embodiments of the present application, when analyzing all sub-light-emitting display data evaluation factors and determining multiple sub-light-emitting display data evaluation factor sequences based on the analysis results, it includes: Determine the first characteristic factor and the second characteristic factor of all sub-light-emitting display data evaluation factors; Extract all sub-light-emitting display data evaluation factors greater than the first characteristic factor to generate a first sub-light-emitting display data evaluation factor sequence; Extract all sub-light-emitting display data evaluation factors less than the second characteristic factor to generate a second sub-light-emitting display data evaluation factor sequence; Judge whether there is an intersection between the first sub-light-emitting display data evaluation factor sequence and the second sub-light-emitting display data evaluation factor sequence. If so, extract all the intersection sub-light-emitting display data evaluation factors and generate an intersection sub-light-emitting display data evaluation factor sequence.

[0037] In this embodiment, the first characteristic factor refers to the mean value of all sub-light-emitting display data evaluation factors, and the second characteristic factor refers to the variance of all sub-light-emitting display data evaluation factors.

[0038] The beneficial effects of the above technical solution are as follows: The present invention obtains the first sub-light-emitting display data evaluation factor sequence and the second sub-light-emitting display data evaluation factor sequence, and can determine the different degrees of influence of the sub-light-emitting display data evaluation factor on the light-emitting display. The sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence and the second sub-light-emitting display data evaluation factor sequence have different degrees of influence on the abnormal monitoring of the light-emitting display. The intersection sub-light-emitting display data evaluation factor sequence can reflect the influence degree of the common data on the abnormal monitoring of the light-emitting display.

[0039] In some embodiments of the present application, when calculating the multi-dimensional data anomaly monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequence, it includes: Calculating the first multi-dimensional data anomaly monitoring factor of the light-emitting display according to the first sub-light-emitting display data evaluation factor sequence: ; wherein, w1 is the first multi-dimensional data anomaly monitoring factor of the light-emitting display, r1 is the number of sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence, y e is the e-th sub-light-emitting display data evaluation factor in the first sub-light-emitting display data evaluation factor sequence, t is the first characteristic factor, for all is the minimum value; Calculating the second multi-dimensional data anomaly monitoring factor of the light-emitting display according to the second sub-light-emitting display data evaluation factor sequence: ; wherein, w2 is the second multi-dimensional data anomaly monitoring factor of the light-emitting display, r2 is the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence, u i is the i-th sub-light-emitting display data evaluation factor in the second sub-light-emitting display data evaluation factor sequence, p is the first characteristic factor, for all is the minimum value; Determining the initial multi-dimensional data anomaly monitoring factor of the light-emitting display based on the first multi-dimensional data anomaly monitoring factor and the second multi-dimensional data anomaly monitoring factor.

[0040] In this embodiment, a first calculation weight is configured for the first multi-dimensional data anomaly monitoring factor, preferably 0.3, a second calculation weight is configured for the second multi-dimensional data anomaly monitoring factor, preferably 0.7, calculating the first factor sum value of the first calculation weight and the first multi-dimensional data anomaly monitoring factor, calculating the second factor sum value of the second calculation weight and the second multi-dimensional data anomaly monitoring factor, and taking the sum value of the first factor sum value and the second factor sum value as the initial multi-dimensional data anomaly monitoring factor.

[0041] In some embodiments of the present application, when calculating the multi-dimensional data anomaly monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequence, it further includes: Judging whether there is an intersection sub-light-emitting display data evaluation factor sequence, if not, then taking the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; If so, counting the intersection number of the intersection sub-light-emitting display data evaluation factors in the intersection sub-light-emitting display data evaluation factor sequence; Determine the factor distribution coefficient of the light-emitting display based on the number of intersections, the number of sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence, and the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence; Adjust the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the light-emitting display.

[0042] In this embodiment, the factor distribution coefficient of the light-emitting display is calculated according to the following formula: k = g3 / (g1 + g2), where k is the factor distribution coefficient of the light-emitting display, g1 is the number of sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence, g2 is the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence, and g3 is the number of intersections.

[0043] The beneficial effects of the above technical solutions are: The present invention determines the factor distribution coefficient of the light-emitting display based on the number of intersections, the number of sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence, and the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence. The factor distribution coefficient can reflect the proportion of the intersection light-emitting display data evaluation factors, and realize the adjustment of the initial multi-dimensional data anomaly monitoring factor.

[0044] In some embodiments of the present application, when adjusting the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the light-emitting display, it includes: Preset a first preset factor distribution coefficient and a second preset factor distribution coefficient; Preset a first preset adjustment value, a second preset adjustment value, and a third preset adjustment; When the factor distribution coefficient is less than the first preset factor distribution coefficient, determine the product value of the first preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; When the factor distribution coefficient is greater than or equal to the first preset factor distribution coefficient and less than the second preset factor distribution coefficient, determine the product value of the second preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; When the factor distribution coefficient is greater than or equal to the second preset factor distribution coefficient, determine the product value of the third preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display.

[0045] In this embodiment, the first preset factor distribution coefficient is less than the second preset factor distribution coefficient. The first preset factor distribution coefficient is preferably 8, and the second preset factor distribution coefficient is preferably 12.

[0046] In this embodiment, the first preset adjustment value is less than the second preset adjustment value and less than the third preset adjustment value. The first preset adjustment value is preferably 1.05, the second preset adjustment value is preferably 1.15, and the third preset adjustment value is preferably 1.25.

[0047] The beneficial effect of the above technical solution is that the present invention adjusts the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the light-emitting display, realizing the dynamic adjustment of the initial multi-dimensional data anomaly monitoring factor and ensuring the comprehensiveness of the determination of the multi-dimensional data anomaly monitoring factor.

[0048] S140: According to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, determine whether the light-emitting display has abnormal operation or potential abnormal operation. If so, issue an alarm.

[0049] In some embodiments of the present application, when determining whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, it includes: According to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, determine whether the light-emitting display has abnormal operation or potential abnormal operation, where the preset multi-dimensional data anomaly monitoring factor includes a potential preset multi-dimensional data anomaly monitoring factor and an abnormal preset multi-dimensional data anomaly monitoring factor; When the multi-dimensional data anomaly monitoring factor is less than the potential preset multi-dimensional data anomaly monitoring factor, it is determined that the light-emitting display is operating safely; When the multi-dimensional data anomaly monitoring factor is greater than or equal to the potential preset multi-dimensional data anomaly monitoring factor and less than the abnormal preset multi-dimensional data anomaly monitoring factor, it is determined that the light-emitting display is in potential abnormal operation, and a potential abnormal warning is issued; When the multi-dimensional data anomaly monitoring factor is greater than or equal to the abnormal preset multi-dimensional data anomaly monitoring factor, it is determined that the light-emitting display is in abnormal operation, and an abnormal alarm is issued.

[0050] In this embodiment, the abnormal preset multi-dimensional data anomaly monitoring factor is preferably 18, and the potential preset multi-dimensional data anomaly monitoring factor is preferably 16.

[0051] In this embodiment, potential abnormality means that the light-emitting display has not had an abnormality yet, but there is a risk of a warning occurring.

[0052] The beneficial effects of the above technical solution are as follows: realizing multi-dimensional anomaly monitoring throughout the entire life cycle of the light-emitting display, ensuring the accuracy and comprehensiveness of anomaly monitoring of the light-emitting display, giving timely warnings of potential anomalies, and avoiding further damage to the light-emitting display.

[0053] In order to further elaborate on the technical concept of the present invention, the technical solution of the present invention will be described in combination with specific application scenarios.

[0054] Correspondingly, as Figure 2 shown, the present application also provides an anomaly monitoring and warning system for a light-emitting display, including: An identification generation module, configured to divide the light-emitting display into multiple anomaly monitoring areas, collect multiple groups of light-emitting display data for each anomaly monitoring area, and generate a monitoring identification for the light-emitting display according to all the light-emitting display data, where the monitoring identification includes an anomaly monitoring identification, a safety monitoring identification, and an unknown monitoring identification; A first calculation module, configured to, when the unknown monitoring identification is recognized, reorganize the light-emitting display data corresponding to each anomaly monitoring area to obtain multiple light-emitting display data groups, and calculate a sub-light-emitting display data evaluation factor of the light-emitting display according to each light-emitting display data group; A second calculation module, configured to analyze all the sub-light-emitting display data evaluation factors, determine multiple sub-light-emitting display data evaluation factor sequences based on the analysis results, and calculate a multi-dimensional data anomaly monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequences; An anomaly monitoring module, configured to determine whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and a preset multi-dimensional data anomaly monitoring factor, and if so, issue an alarm.

[0055] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0056] Although the present invention has been described above with reference to the embodiments, various improvements can be made to it and its components can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention can be combined with each other in any way, and the situations of these combinations are not all described in this specification only for the sake of saving space and resources.

[0057] Those of ordinary skill in the art can understand that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An abnormal monitoring and early warning method for a light-emitting display, characterized in that, Including: Dividing the light-emitting display into multiple abnormal monitoring areas, collecting multiple groups of light-emitting display data for each abnormal monitoring area, and generating a monitoring identifier for the light-emitting display based on all the light-emitting display data, where the monitoring identifier includes an abnormal monitoring identifier, a safety monitoring identifier, and an unknown monitoring identifier; When the unknown monitoring identifier is recognized, the light-emitting display data corresponding to each abnormal monitoring area is recombined to obtain multiple groups of light-emitting display data, and a sub-light-emitting display data evaluation factor of the light-emitting display is calculated according to each group of light-emitting display data; Analyze all the sub-light-emitting display data evaluation factors, determine multiple sequences of sub-light-emitting display data evaluation factors based on the analysis results, and calculate a multi-dimensional data abnormal monitoring factor of the light-emitting display according to the sequences of sub-light-emitting display data evaluation factors; Judge whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data abnormal monitoring factor and a preset multi-dimensional data abnormal monitoring factor. If so, an alarm is issued.

2. The abnormal monitoring and early warning method of the light-emitting display according to claim 1, characterized in that, When collecting multiple groups of light-emitting display data for each abnormal monitoring area and generating a monitoring identifier for the light-emitting display based on all the light-emitting display data, it includes: Obtaining safety light-emitting display data corresponding to each light-emitting display data. When all the light-emitting display data is less than the safety light-emitting display data, the safety monitoring identifier is generated for the light-emitting display; When all the light-emitting display data is greater than or equal to the safety light-emitting display data, the abnormal monitoring identifier is generated for the light-emitting display; When there is light-emitting display data less than the safety light-emitting display data and there is also light-emitting display data greater than or equal to the safety light-emitting display data, the unknown monitoring identifier is generated for the light-emitting display.

3. The abnormal monitoring and early warning method of the light-emitting display according to claim 1, characterized in that When recombining the light-emitting display data corresponding to each abnormal monitoring area to obtain multiple groups of light-emitting display data and calculating a sub-light-emitting display data evaluation factor of the light-emitting display according to each group of light-emitting display data, it includes: Randomly extracting a light-emitting display data from the group of light-emitting display data as the first extracted light-emitting display data; Determining a first difference between each remaining light-emitting display data in the group of light-emitting display data and the first extracted light-emitting display data; Determining the maximum first difference from all the first differences and generating a maximum difference mark; Randomly extracting the q-th light-emitting display data from the group of light-emitting display data as the q-th extracted light-emitting display data, where q is the number of light-emitting display data in the group of light-emitting display data; Determining a q-th difference between each remaining light-emitting display data in the group of light-emitting display data and the q-th extracted light-emitting display data; Determining the maximum q-th difference from all the q-th differences and generating a maximum difference mark; Extracting the maximum light-emitting display data corresponding to all the maximum difference marks and judging whether there are the same maximum light-emitting display data. If so, calculating the sum of the maximum same light-emitting display data of all the same maximum light-emitting display data; Calculating the sum of the maximum non-identical light-emitting display data of the remaining maximum light-emitting display data corresponding to the maximum difference marks; Determine the ratio of the maximum identical luminous display data to the sum of the maximum different luminous display data as the sub-luminous display data evaluation factor of the luminous display; If not, select the maximum luminous display data and the minimum luminous display data from the maximum luminous display data corresponding to the maximum difference mark; Determine the extreme difference between the maximum luminous display data and the minimum luminous display data; Determine the sum of the remaining luminous display data of the remaining maximum luminous display data corresponding to the maximum difference mark; Determine the ratio of the extreme difference to the sum of the remaining luminous display data as the sub-luminous display data evaluation factor of the luminous display.

4. The abnormal monitoring and early warning method for the light-emitting display according to claim 1, characterized in that When analyzing all sub-luminous display data evaluation factors and determining multiple sub-luminous display data evaluation factor sequences based on the analysis results, it includes: Determine the first characteristic factor and the second characteristic factor of all sub-luminous display data evaluation factors; Extract all sub-luminous display data evaluation factors greater than the first characteristic factor to generate a first sub-luminous display data evaluation factor sequence; Extract all sub-luminous display data evaluation factors less than the second characteristic factor to generate a second sub-luminous display data evaluation factor sequence; Judge whether there is an intersection between the first sub-luminous display data evaluation factor sequence and the second sub-luminous display data evaluation factor sequence. If so, extract all the intersection sub-luminous display data evaluation factors and generate an intersection sub-luminous display data evaluation factor sequence.

5. The method for abnormal monitoring and early warning of the light-emitting display according to claim 4, wherein, When calculating the multi-dimensional data anomaly monitoring factor of the luminous display according to the sub-luminous display data evaluation factor sequence, it includes: Calculate the first multi-dimensional data anomaly monitoring factor of the luminous display according to the first sub-luminous display data evaluation factor sequence: ； Among them, w1 is the first multi-dimensional data anomaly monitoring factor of the light-emitting display, r1 is the number of sub-light-emitting display data evaluation factors in the first sub-light-emitting display data evaluation factor sequence, and y e is the e-th sub-light-emitting display data evaluation factor in the first sub-light-emitting display data evaluation factor sequence, t is the first characteristic factor, is for all the minimum value; Calculate the second multi-dimensional data anomaly monitoring factor of the luminous display according to the second sub-luminous display data evaluation factor sequence: ； Among them, w2 is the second multi-dimensional data anomaly monitoring factor of the light-emitting display, r2 is the number of sub-light-emitting display data evaluation factors in the second sub-light-emitting display data evaluation factor sequence, and u i is the i-th sub-light-emitting display data evaluation factor in the second sub-light-emitting display data evaluation factor sequence, p is the first characteristic factor, for all is the minimum value; Determine the initial multi-dimensional data anomaly monitoring factor of the luminous display based on the first multi-dimensional data anomaly monitoring factor and the second multi-dimensional data anomaly monitoring factor.

6. The abnormal monitoring and early warning method of the light-emitting display according to claim 5, characterized in that When calculating the multi-dimensional data anomaly monitoring factor of the luminous display according to the sub-luminous display data evaluation factor sequence, it also includes: Judge whether there is an intersection sub-luminous display data evaluation factor sequence. If not, use the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the luminous display; If so, count the number of intersection sub-luminous display data evaluation factors in the intersection sub-luminous display data evaluation factor sequence; Determine the factor distribution coefficient of the luminous display based on the intersection number, the number of sub-luminous display data evaluation factors in the first sub-luminous display data evaluation factor sequence, and the number of sub-luminous display data evaluation factors in the second sub-luminous display data evaluation factor sequence; Adjust the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the luminous display.

7. The abnormal monitoring and early warning method for the light-emitting display according to claim 6, characterized in that, When adjusting the initial multi-dimensional data anomaly monitoring factor according to the factor distribution coefficient to obtain the multi-dimensional data anomaly monitoring factor of the luminous display, it includes: Preset the first preset factor distribution coefficient and the second preset factor distribution coefficient; Preset the first preset adjustment value, the second preset adjustment value and the third preset adjustment; When the factor distribution coefficient is less than the first preset factor distribution coefficient, determine the product value of the first preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; When the factor distribution coefficient is greater than or equal to the first preset factor distribution coefficient and less than the second preset factor distribution coefficient, determine the product value of the second preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display; When the factor distribution coefficient is greater than or equal to the second preset factor distribution coefficient, determine the product value of the third preset adjustment value and the initial multi-dimensional data anomaly monitoring factor as the multi-dimensional data anomaly monitoring factor of the light-emitting display.

8. The abnormal monitoring and early warning method for the light-emitting display according to claim 1, characterized in that, When judging whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, it includes: Judge whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, wherein the preset multi-dimensional data anomaly monitoring factor includes a potential preset multi-dimensional data anomaly monitoring factor and an abnormal preset multi-dimensional data anomaly monitoring factor; When the multi-dimensional data anomaly monitoring factor is less than the potential preset multi-dimensional data anomaly monitoring factor, judge that the light-emitting display is in safe operation; When the multi-dimensional data anomaly monitoring factor is greater than or equal to the potential preset multi-dimensional data anomaly monitoring factor and less than the abnormal preset multi-dimensional data anomaly monitoring factor, judge that the light-emitting display is in potential abnormal operation and issue a potential abnormal warning; When the multi-dimensional data anomaly monitoring factor is greater than or equal to the abnormal preset multi-dimensional data anomaly monitoring factor, judge that the light-emitting display is in abnormal operation and issue an abnormal alarm.

9. An abnormal monitoring and early warning system for a light-emitting display, which is applied to the abnormal monitoring and early warning method of the light-emitting display according to any one of claims 1-8, and is characterized in that, Include: An identification generation module, used to divide the light-emitting display into multiple anomaly monitoring areas, collect multiple groups of light-emitting display data of each anomaly monitoring area, and generate a monitoring identification for the light-emitting display according to all the light-emitting display data, wherein the monitoring identification includes an anomaly monitoring identification, a safety monitoring identification and an unknown monitoring identification; A first calculation module, used to recombine the light-emitting display data corresponding to each anomaly monitoring area to obtain multiple light-emitting display data groups when the unknown monitoring identification is recognized, and calculate the sub-light-emitting display data evaluation factor of the light-emitting display according to each light-emitting display data group; A second calculation module, used to analyze all the sub-light-emitting display data evaluation factors, determine multiple sub-light-emitting display data evaluation factor sequences based on the analysis results, and calculate the multi-dimensional data anomaly monitoring factor of the light-emitting display according to the sub-light-emitting display data evaluation factor sequences; Anomaly monitoring module, which is used to determine whether the light-emitting display has abnormal operation or potential abnormal operation according to the relationship between the multi-dimensional data anomaly monitoring factor and the preset multi-dimensional data anomaly monitoring factor, and if so, issue an alarm.

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