An outdoor display unit redundancy backup system based on fault prediction

Abstract

The application relates to the technical field of outdoor display, in particular to an outdoor display unit redundancy backup system based on fault prediction. The system comprises a central control unit, a monitoring unit and a prediction unit. The central control unit is used for generating multiple device categories, and each device category comprises multiple device points. The monitoring unit is used for acquiring state monitoring data of each device point. The prediction unit is used for establishing a fault prediction model, and the prediction unit sets a redundancy configuration strategy according to the fault prediction model. Through analysis of the outdoor display unit, multiple device points are set, multiple device categories are constructed according to the characteristics of different device points, and a fault submodel of each device category is constructed based on historical parameters, so that the expected fault parameters of each device category are analyzed, corresponding redundancy device configurations are set, the operation stability of the outdoor display unit is improved, and the overall operation and maintenance cost is reduced.

Description

Technical Field

[0001] This application relates to the field of outdoor display technology, and in particular to a redundancy backup system for outdoor display units based on fault prediction. Background Technology

[0002] Outdoor display units play a crucial role in modern urban management, information dissemination, commercial advertising, and public safety. These devices are typically deployed in harsh outdoor environments, exposed to complex and severe conditions such as high temperatures, low temperatures, humidity, dust, salt spray, ultraviolet radiation, lightning strikes, and voltage fluctuations. This continuous environmental stress significantly accelerates the aging and failure process of the internal components of the display unit, resulting in a significantly higher failure rate than indoor equipment.

[0003] Currently, outdoor display units are only repaired after a service interruption occurs due to malfunctions (such as black screen, distorted screen, uneven brightness, or partial failure). The time from the occurrence of a malfunction to the arrival of repair personnel for on-site troubleshooting and repair is considerable, resulting in interruptions in information dissemination, advertising losses, loss of public information, and even safety hazards. Service interruptions caused by malfunctions directly impact user experience and system reliability, and may even trigger public incidents. Summary of the Invention

[0004] The purpose of this application is to provide a fault prediction-based redundant backup system for outdoor display units in order to solve the above-mentioned technical problems, thereby ensuring the stable operation of outdoor display units and avoiding interference with the operation of outdoor display units due to local faults.

[0005] In some embodiments of this application, by analyzing the outdoor display unit, setting multiple device points, constructing multiple device categories based on the characteristics of different device points, and constructing fault sub-models for each device category based on historical parameters, the expected fault parameters of each device category are analyzed, and corresponding redundant device configurations are set to improve the operational stability of the outdoor display unit and reduce the overall operation and maintenance costs.

[0006] In some embodiments of this application, by analyzing the real-time status of each device point, timely warnings are issued for device points with potential fault risks, and corresponding redundant device switching strategies are set to ensure the stable operation of the outdoor display unit, improve the control efficiency of redundant devices, and avoid interference with the operating status of the outdoor display unit due to local faults.

[0007] In some embodiments of this application, a redundancy backup system for outdoor display units based on fault prediction is provided, including: The central control unit is used to generate multiple equipment categories, wherein each equipment category includes multiple equipment points; The monitoring unit is used to acquire status monitoring data from various equipment points; A prediction unit is used to establish a fault prediction model, and the prediction unit sets a redundancy configuration strategy according to the fault prediction model. The central control unit includes: The first processing module is used to obtain the device parameters of the outdoor display device and establish multiple device points based on the device parameters. The first processing module is also used to aggregate all device points and establish multiple device categories based on the processing results.

[0008] In some embodiments of this application, the prediction unit includes: The first fault module is used to obtain the equipment category sequence A, A=(a1, a2…a…). i …a n) , where a i Let be the i-th equipment category; n is the number of equipment categories; The first fault module is also used to establish fault sub-models for each equipment category; The second fault module is used to generate the expected feature package for each device point, and generate the expected fault curve for each device point based on all the expected feature packages. The third fault module is used to set the configuration sub-policies for each device point and generate redundant configuration policies based on all configuration sub-policies.

[0009] In some embodiments of this application, the third fault module is further configured to: Based on the equipment category sequence A, a is set sequentially. i For the target equipment category; Obtain the column B of primary device points for the target device category; B=(b1,b2…b i …b m ), where b i Let be the i-th primary equipment point in the target equipment category; m is the number of primary equipment points in the target equipment category; Generate the expected fault values ​​for each primary equipment point; Multiple operating sub-regions are established based on all expected fault values ​​and the primary equipment point sequence B; Generate the redundant device configuration for each operating sub-region; Configure sub-strategies for each primary device point based on the total number of redundant devices.

[0010] In some embodiments of this application, multiple operating sub-regions are established, including: A segmentation evaluation value c is generated based on all expected fault values; c=β*[ (j i -j') 2]; β=U*( j i ); Where, j i is the expected fault value of the i-th primary equipment point in the primary equipment point sequence B; j' is the average of the expected fault values ​​of all primary equipment points in the primary equipment point sequence B; U is the preset conversion coefficient; β is the segmentation compensation coefficient; The first-level segmentation instruction is set according to the segmentation evaluation value c, and multiple initial sub-regions are generated according to the first-level segmentation instruction. Determine whether to generate correction instructions for each initial sub-region, and establish multiple running sub-regions based on the correction results.

[0011] In some embodiments of this application, determining whether to generate correction instructions for each initial sub-region includes: Establish an initial sub-region sequence D, D=(d1, d2…d…) i …d m1 ), where d i Let m1 be the i-th initial sub-region; m1 is the number of initial sub-regions; and m1 <m; Based on the initial sub-region sequence D, d is set sequentially. i The initial target region; Generate the deviation value h of the initial target region; Preset deviation threshold H1; If h>H1, generate correction instructions for the target initial region, divide the target initial region based on the correction instructions, and generate multiple running sub-regions based on the division results; If h

[0012] In some embodiments of this application, configuration sub-policies are set for each primary device point, including: Obtain the sequence W, W=(w1,w2…w) of the running sub-region. i …w m2 ), where w i m1 represents the i-th running sub-region; m2 represents the number of running sub-regions. Based on the running sub-region sequence W, set w sequentially. i For the target operating area; The redundant equipment configuration quantity for the target operating area is generated based on the fault prediction model. Establish a primary equipment point sequence B1 for the target operating area; B1=(b 11 b 12 …b 1i …b 1m3 ), where b 1i ​m3 represents the i-th primary equipment point in the target operating area; m3 represents the number of primary equipment points in the target operating area. Generate the allocation evaluation value for each primary equipment point in the primary equipment point sequence B1; Based on all assigned evaluation values, generate configuration sub-policies for each primary device point in the target operating area.

[0013] In some embodiments of this application, the configuration sub-policies for each primary device point in the target operating area are generated, including: Based on the sequence of primary equipment points B1, set b sequentially. i For the target device point; Generate the target device point allocation evaluation value f; f=[ η i *v i ]; Where θ1 is the number of evaluation indicators assigned; η i Assign an impact factor to the i-th evaluation index; v i Assign a reference value for the evaluation index to the i-th target equipment point; Generate the allocation evaluation value of each primary equipment point in the primary equipment point sequence B1 in sequence; The primary equipment point with the smallest assigned evaluation value in the primary equipment point sequence B1 is designated as the anchor equipment point. Obtain the expected allocation of anchored equipment points, and set the initial allocation of each primary equipment point in the primary equipment point sequence B1 according to the expected allocation. Obtain the remaining quantity of redundant devices in the target operating area; The primary allocation order is set based on all allocation evaluation values, and the primary allocation strategy is set based on the primary allocation order and the remaining quantity of redundant equipment. Based on the primary allocation strategy, configuration sub-strategies are generated for each primary device point in the target operating area.

[0014] In some embodiments of this application, the central control unit further includes: The second processing module is used to establish the device point sequence P, P=(p1,p2…p i …p r ), where p i Let be the i-th device point; r is the number of device points; Based on the equipment point sequence P, set p sequentially. i For the device to be controlled; Select the target fault sub-model based on the equipment category of the equipment to be controlled; Establish a monitoring timeline for the equipment points to be controlled, wherein the monitoring timeline includes multiple monitoring time nodes; Obtain the status parameters of the device point to be controlled at the current monitoring time node; Generate the operation risk value k of the device point to be controlled; Preset the first operation risk value threshold K1 and the second operation risk value threshold K2, where K1 < K2; If k < K1, do not generate the control instruction for the device point to be controlled; If K1 < k < K2, generate the primary control strategy for the device point to be controlled If k > K2, generate the secondary control instruction for the device point to be controlled, and set the secondary control strategy according to the secondary control instruction.

[0015] In some embodiments of the present application, generating the operation risk value k of the device point to be controlled includes: k = µ i *(s i - s' i ) 2 ; Where θ2 is the number of status monitoring indicators of the device point to be controlled; µ i is the reference value of the i-th status monitoring indicator of the device point to be controlled; s i is the reference value of the i-th status monitoring indicator of the device point to be controlled at the current monitoring time node; s' i is the safety threshold of the i-th status monitoring indicator of the device point to be controlled.

[0016] In some embodiments of the present application, setting the secondary control strategy according to the secondary control instruction includes: Generate the failure probability curve of the device point to be controlled according to the target failure sub-model; Set multiple switching time points according to the failure probability curve; Obtain the expected working data of the device point to be controlled, and generate the switching evaluation value of each switching time point according to the expected working data; Set the switching time node corresponding to the maximum value among all switching evaluation values as the control time node; Set the redundant device switching duration of the device point to be controlled; Set the secondary control strategy of the device point to be controlled according to the redundant device switching duration and the control time node.

[0017] Compared with the prior art, the beneficial effect of a redundant backup system for an outdoor display unit based on fault prediction in an embodiment of the present application is that: By analyzing the outdoor display unit, setting multiple device points, constructing multiple device categories based on the characteristics of different device points, and building fault sub-models for each device category based on historical parameters, the expected fault parameters of each device category can be analyzed, and corresponding redundant device configurations can be set to improve the operational stability of the outdoor display unit and reduce the overall operation and maintenance costs.

[0018] By analyzing the real-time status of each device, timely warnings are issued for devices at risk of failure, and corresponding redundant device switching strategies are set to ensure the stable operation of the outdoor display unit, improve the control efficiency of redundant devices, and avoid interference with the operation of the outdoor display unit due to local faults. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the structure of a redundancy backup system for an outdoor display unit based on fault prediction, according to a preferred embodiment of this application. Detailed Implementation

[0020] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0021] In the description of this 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 accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0022] 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 number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0023] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0024] like Figure 1 As shown, a preferred embodiment of this application discloses a redundancy backup system for outdoor display units based on fault prediction, comprising: The central control unit is used to generate multiple equipment categories, with each equipment category including multiple equipment points; The monitoring unit is used to acquire status monitoring data from various equipment points; The prediction unit is used to establish a fault prediction model, and the prediction unit sets a redundancy configuration strategy based on the fault prediction model. The central control unit includes: The first processing module is used to obtain the device parameters of the outdoor display device and establish multiple device points based on the device parameters. The first processing module is also used to aggregate all device points and establish multiple device categories based on the processing results.

[0025] Specifically, multiple operating modules are generated based on the equipment structure of the outdoor display unit. These operating modules include, but are not limited to, power supply modules, individual display modules, individual drive circuits, and other related structural modules of the outdoor display unit.

[0026] Specifically, multiple device points are established based on all operating modules, where each device point represents an operating module.

[0027] Specifically, the devices are aggregated according to the category of the operating module corresponding to different device points to generate multiple device categories. All device points in a single device category have the same type of operating module.

[0028] Specifically, the prediction unit includes: The first fault module is used to obtain the equipment category sequence A, A=(a1, a2…a…). i …a n) , where a i Let be the i-th equipment category; n is the number of equipment categories; The first fault module is also used to establish fault sub-models for each equipment category; The second fault module is used to generate the expected feature package for each device point, and generate the expected fault curve for each device point based on all the expected feature packages. The third fault module is used to set the configuration sub-policies for each device point and generate redundant configuration policies based on all configuration sub-policies.

[0029] Specifically, historical data is filtered according to the category of the operating module corresponding to each equipment category to generate a corresponding training dataset. Based on the training dataset, a corresponding fault sub-model is constructed. The fault sub-model can complete the fault prediction and real-time operation status assessment of the current equipment category.

[0030] Specifically, the expected feature package includes expected environmental parameters throughout the entire operating lifecycle. These environmental parameters include, but are not limited to, the average temperature and average humidity of the environment, temperature and humidity differences, dust concentration, and other environmental parameters that affect the operating life of outdoor display units.

[0031] Specifically, the expected failure curve refers to the probability of failure and the expected failure level at various time points throughout the entire life cycle of the equipment.

[0032] Specifically, by analyzing the expected failure curves of each device point, redundancy configurations are set for each device point, and a redundancy configuration strategy is constructed based on all redundancy configurations.

[0033] Specifically, the redundant configuration corresponds to the device category based on the operating module category of the device point. For example, the redundant configuration for a power module is to add a backup power supply. For a drive circuit, the redundant configuration is to add a backup circuit.

[0034] In a preferred embodiment of this application, the third fault module is further configured to: Based on the equipment category sequence A, a is set sequentially. i For the target equipment category; Obtain the column B of primary device points for the target device category; B=(b1,b2…b i …b m ), where b i Let be the i-th primary equipment point in the target equipment category; m is the number of primary equipment points in the target equipment category; Generate the expected fault values ​​for each primary equipment point; Multiple operating sub-regions are established based on all expected fault values ​​and the primary equipment point sequence B; Generate the redundant device configuration for each operating sub-region; Configure sub-strategies for each primary device point based on the total number of redundant devices.

[0035] Specifically, a single primary device point represents a single device point included in the target device category.

[0036] Specifically, by analyzing the expected failure curves of each primary equipment point, corresponding expected failure values ​​are generated. The higher the expected failure value, the higher the redundancy requirement of the current equipment point.

[0037] Specifically, the redundant equipment configuration includes the type of equipment required for the current primary equipment point and the number of redundant devices.

[0038] Specifically, multiple operating sub-regions are established, including: A segmentation evaluation value c is generated based on all expected fault values; c=β*[ (j i -j') 2 ]; β=U*( j i ); Where, j i is the expected fault value of the i-th primary equipment point in the primary equipment point sequence B; j' is the average of the expected fault values ​​of all primary equipment points in the primary equipment point sequence B; U is the preset conversion coefficient; β is the segmentation compensation coefficient; The first-level segmentation instruction is set according to the segmentation evaluation value c, and multiple initial sub-regions are generated according to the first-level segmentation instruction. Determine whether to generate correction instructions for each initial sub-region, and establish multiple running sub-regions based on the correction results.

[0039] Specifically, by setting a conversion coefficient, the segmentation compensation coefficient is made to be within a preset value range, which ( j i The larger the value of ), the larger the corresponding value of the segmentation compensation coefficient, and the segmentation compensation coefficient is always greater than 1.

[0040] Specifically, a larger segmentation evaluation value indicates greater volatility in the failure risk of each primary equipment point within the target equipment category, resulting in a smaller initial sub-region area. By dynamically adjusting the area of ​​the initial sub-region, the adjustment efficiency of redundant equipment within the target equipment category can be improved, thereby reducing the operational failure risk of each primary equipment point.

[0041] Specifically, the first-level segmentation instruction refers to setting the area of ​​a single initial sub-region based on the segmentation evaluation value, thereby segmenting all first-level equipment points and constructing multiple initial sub-regions based on the segmentation results.

[0042] Specifically, the mapping relationship between the segmentation evaluation value and the area of ​​the initial sub-region can be set based on historical parameters. Furthermore, the larger the segmentation evaluation value, the smaller the area of ​​the set individual initial sub-region.

[0043] Specifically, determining whether to generate correction instructions for each initial sub-region includes: Establish an initial sub-region sequence D, D=(d1, d2…d…) i …d m1 ), where d i Let m1 be the i-th initial sub-region; m1 is the number of initial sub-regions; and m1 <m; Based on the initial sub-region sequence D, d is set sequentially. i The initial target region; Generate the deviation value h of the initial target region; Preset deviation threshold H1; If h>H1, generate correction instructions for the target initial region, divide the target initial region based on the correction instructions, and generate multiple running sub-regions based on the division results; If h

[0044] Specifically, the deviation threshold can be set based on historical parameters.

[0045] Specifically, the deviation value refers to the value set based on the expected working state of each primary device point within the initial sub-region. The larger the deviation value, the more obvious the difference in the working state of each primary device point. For example, in the display module, the working state refers to the difference in the display content of each device point.

[0046] Specifically, the larger the deviation value, the more difficult it is to control all primary equipment points within the target initial area as a whole. It is necessary to promptly perform secondary segmentation of the target initial area and set the segmentation results as different operating sub-areas.

[0047] It is understood that in the above embodiments, by analyzing the outdoor display unit, setting multiple device points, constructing multiple device categories based on the characteristics of different device points, and constructing fault sub-models for each device category based on historical parameters, the expected fault parameters of each device category are analyzed, and corresponding redundant device configurations are set to improve the operational stability of the outdoor display unit and reduce the overall operation and maintenance costs.

[0048] In a preferred embodiment of this application, the configuration sub-strategy for each primary device point is set, including: Obtain the sequence W, W=(w1,w2…w) of the running sub-region. i …w m2 ), where w i m1 represents the i-th running sub-region; m2 represents the number of running sub-regions. Based on the running sub-region sequence W, set w sequentially. i For the target operating area; The redundant equipment configuration quantity for the target operating area is generated based on the fault prediction model. Establish a primary equipment point sequence B1 for the target operating area; B1=(b 11 b 12 …b 1i …b 1m3 ), where b 1i m3 represents the i-th primary equipment point in the target operating area; m3 represents the number of primary equipment points in the target operating area. ​Generate the allocation evaluation value for each primary equipment point in the primary equipment point sequence B1; Based on all assigned evaluation values, generate configuration sub-policies for each primary device point in the target operating area.

[0049] Specifically, the corresponding allocation evaluation value is set based on the correlation between the current primary equipment point and the remaining primary equipment points in the target operating area and the expected failure curve of the primary equipment point.

[0050] Specifically, the higher the allocation evaluation value, the higher the demand for redundant equipment at the current primary equipment point. When redundant equipment is set at the current primary equipment point, more primary equipment points can be coordinated and adjusted.

[0051] In a preferred embodiment of this application, the configuration sub-policies for each primary device point in the target operating area are generated, including: Based on the sequence of primary equipment points B1, set b sequentially. i For the target device point; Generate the target device point allocation evaluation value f; f=[ η i *v i ]; Where θ1 is the number of evaluation indicators assigned; η i Assign an impact factor to the i-th evaluation index; v i Assign a reference value for the evaluation index to the i-th target equipment point; Generate the allocation evaluation value of each primary equipment point in the primary equipment point sequence B1 in sequence; The primary equipment point with the smallest assigned evaluation value in the primary equipment point sequence B1 is designated as the anchor equipment point. Obtain the expected allocation of anchored equipment points, and set the initial allocation of each primary equipment point in the primary equipment point sequence B1 according to the expected allocation. Obtain the remaining quantity of redundant devices in the target operating area; The primary allocation order is set based on all allocation evaluation values, and the primary allocation strategy is set based on the primary allocation order and the remaining quantity of redundant equipment. Based on the primary allocation strategy, configuration sub-strategies are generated for each primary device point in the target operating area.

[0052] Specifically, the allocation evaluation indicators include, but are not limited to, parameters that affect the redundancy requirements of the target equipment point, such as the failure frequency of the target equipment point, the total value of its correlation with the remaining equipment points, and the average value. These allocation evaluation indicators are quantified to ensure they fall within the same value range.

[0053] Specifically, reference values ​​are set based on the impact of each allocation evaluation index on the redundancy equipment requirements of the target equipment point. For example, the higher the failure frequency, the higher the required redundancy equipment, and the larger the reference value of the corresponding allocation evaluation index. The larger the total correlation value, the greater the interference of the target equipment point on the remaining equipment points, the higher the required redundancy equipment, and the larger the reference value of the corresponding allocation evaluation index. In other words, the greater the redundancy equipment requirement required for the real-time value of the parameter corresponding to the allocation evaluation index, the larger the corresponding reference value.

[0054] Specifically, the influence factors of each allocation evaluation index are set according to their degree of influence on the redundancy equipment requirements of the target equipment point. The greater the degree of influence, the larger the value of the corresponding influence factor.

[0055] Specifically, the correlation value refers to the probability that all remaining primary equipment points will fail when the current primary equipment point experiences an operational failure. The higher the probability, the higher the correlation value. The mapping between the correlation value and the probability can be set based on historical parameters.

[0056] Specifically, the initial allocation amount is set based on the median value between the number of redundant devices required when the anchor device point is running alone and the number of redundant devices required when the anchor device point is running together with all associated device points in the operating sub-region.

[0057] Specifically, based on the amount of redundant equipment configured in the target operating area, a portion of redundant equipment is set up at each primary equipment point in sequence, and the amount set up is the initial allocation.

[0058] Specifically, the remaining amount is allocated to each primary device point according to the primary allocation order until all configurations are allocated. The expected operating effect of the running sub-region is verified. If the target is met, the configuration sub-policy of each primary device point in the target operating region is generated.

[0059] It is understood that in the above embodiments, by using multi-level allocation, the configuration of redundant devices in the target operating area is optimized, thereby improving the outdoor display unit's ability to handle operational failures and ensuring the safe operation of the outdoor display unit.

[0060] In a preferred embodiment of this application, the central control unit further includes: The second processing module is used to establish the device point sequence P, P=(p1,p2…p i …p r ), where p i Let be the i-th device point; r is the number of device points; Based on the equipment point sequence P, set p sequentially. i For the device to be controlled; Select the target fault sub-model based on the equipment category of the equipment to be controlled; Establish a monitoring timeline for the device points to be controlled, where the monitoring timeline includes multiple monitoring time nodes; Obtain the status parameters of the device points to be controlled at the current monitoring time node; Generate the operation risk value k for the device points to be controlled; Preset the first operation risk value threshold K1 and the second operation risk value threshold K2, where K1 < K2; If k < K1, do not generate the control instruction for the device points to be controlled; If K1 < k < K2, generate the primary control strategy for the device points to be controlled <00??336>If k > K2, generate the secondary control instruction for the device points to be controlled, and set the secondary control strategy according to the secondary control instruction.

[0061] Specifically, the first operation risk value threshold and the second operation risk value threshold can be set according to historical parameters.

[0062] Specifically, by analyzing the real-time status of each device point, timely warning is given to the device points with potential failure risks, and the corresponding redundant device switching strategy is set to ensure the stable operation of the outdoor display unit, improve the control efficiency of redundant devices, and avoid interfering with the operation status of the outdoor display unit due to local failures.

[0063] Specifically, the primary control strategy refers to reducing the working load of the device points to be controlled by adjusting their working parameters, so as to avoid local operation failures.

[0064] [[ID=2?]]Specifically, generating the operation risk value k for the device points to be controlled includes: k = µ i *(s i - s'[[ID = 34]] i ) 2 ; Where, θ2 is the number of status monitoring indicators for the device points to be controlled; µ i is the reference value of the i-th status monitoring indicator for the device points to be controlled; s i is the reference value of the i-th status monitoring indicator for the device points to be controlled at the current monitoring time node; s' i is the safety threshold of the i-th status monitoring indicator for the device points to be controlled.

[0065] Specifically, the status monitoring indicators are set according to the device category parameters corresponding to the device points to be controlled, and the influence factors of each status monitoring indicator are set according to their correlation with the failure risk. The greater the correlation, the greater the value of the corresponding influence factor.

[0066] Specifically, the safety thresholds for each status monitoring indicator can be set based on historical parameters.

[0067] Specifically, the higher the operational risk value, the greater the possibility of a fault occurring at the point under control. It is necessary to adjust its operating parameters in a timely manner to avoid the outdoor display unit from interfering with the overall operating status due to local faults.

[0068] Specifically, the secondary control strategy is set according to the secondary control instructions, including: Generate the failure probability curve of the controlled equipment point based on the target failure sub-model; Multiple switching time points are set based on the failure probability curve; Obtain the expected operating data of the equipment to be controlled, and generate switching evaluation values ​​for each switching time point based on the expected operating data; Set the switching time node corresponding to the maximum value among all switching evaluation values ​​as the control time node; Set the redundancy switching time for the device to be controlled; The secondary control strategy for the device to be controlled is set based on the switching time of redundant devices and the control time node.

[0069] Specifically, a preset fault probability threshold is set, and each time point on the fault probability curve that exceeds the fault probability threshold is designated as a switching time point.

[0070] Specifically, a primary reference value is set based on the fault probability value at the switching time point. The higher the fault probability value, the larger the primary reference value. The mapping relationship between the fault probability value and the primary reference value can be set based on historical parameters. The expected load of the controlled equipment is generated based on the expected operating parameters. A secondary reference value is generated based on the expected load; the higher the expected load, the larger the corresponding secondary reference value. A switching evaluation value is generated based on the sum of the primary and secondary reference values.

[0071] Specifically, the corresponding switching time is set according to the startup time of redundant devices.

[0072] Specifically, the secondary control strategy refers to starting the redundant equipment at the controlled equipment point at the preset control time node, shutting down the main equipment, and carrying out maintenance to avoid local operation failures.

[0073] According to the first concept of this application, by analyzing the outdoor display unit, setting multiple device points, constructing multiple device categories based on the characteristics of different device points, and constructing fault sub-models for each device category based on historical parameters, the expected fault parameters of each device category are analyzed, and corresponding redundant device configurations are set to improve the operational stability of the outdoor display unit and reduce the overall operation and maintenance costs.

[0074] According to the second concept of this application, by analyzing the real-time status of each device point, timely warnings are given for device points with potential failure risks, and corresponding redundant device switching strategies are set to ensure the stable operation of the outdoor display unit, improve the control efficiency of redundant devices, and avoid interference with the operation of the outdoor display unit due to local failures.

[0075] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. A redundancy backup system for outdoor display units based on fault prediction, characterized in that, Including: A central control unit for generating multiple device categories, with multiple device points included in a single device category; A monitoring unit for obtaining status monitoring data of each device point; A prediction unit for establishing a fault prediction model, and the prediction unit setting a redundancy configuration strategy according to the fault prediction model; The central control unit includes: A first processing module for obtaining device parameters of an outdoor display device and establishing multiple device points according to the device parameters; The first processing module is further used for aggregating all device points and establishing multiple device categories according to the processing results.

2. The outdoor display unit redundancy backup system based on fault prediction as described in claim 1, characterized in that, The prediction unit includes: The first fault module is used to obtain the equipment category sequence A, A=(a1, a2…a…). i …a n) , where a i Let be the i-th equipment category; n is the number of equipment categories; The first fault module is further used for establishing fault sub-models of each device category; A second fault module for generating an expected feature packet for each device point and generating an expected fault curve for each device point according to all the expected feature packets; A third fault module for setting a configuration sub-strategy for each device point and generating a redundancy configuration strategy according to all the configuration sub-strategies.

3. The outdoor display unit redundancy backup system based on fault prediction as described in claim 2, characterized in that, The third fault module is further used for: Based on the equipment category sequence A, a is set sequentially. i For the target equipment category; Obtaining a primary device point sequence B of a target device category; B=(b1,b2…b i …b m ), where b i Let be the i-th primary equipment point in the target equipment category; m is the number of primary equipment points in the target equipment category; Generating an expected fault value for each primary device point; Establishing multiple operating sub-regions according to all the expected fault values and the primary device point sequence B; Generating a redundancy device configuration quantity for each operating sub-region; Setting a configuration sub-strategy for each primary device point according to all the redundancy device configuration quantities.

4. The outdoor display unit redundancy backup system based on fault prediction as described in claim 3, characterized in that, Establishing multiple operating sub-regions, including: Generating a segmentation evaluation value c according to all the expected fault values; c=β*[ (j i -j') 2 ]; β=U*( j i ); Where, j i is the expected fault value of the i-th primary equipment point in the primary equipment point sequence B; j' is the average of the expected fault values ​​of all primary equipment points in the primary equipment point sequence B; U is the preset conversion coefficient; β is the segmentation compensation coefficient; Setting a primary segmentation instruction according to the segmentation evaluation value c and generating multiple initial sub-regions according to the primary segmentation instruction; Judging whether to generate a correction instruction for each initial sub-region and establishing multiple operating sub-regions according to the correction result.

5. The outdoor display unit redundancy backup system based on fault prediction as described in claim 4, characterized in that, Judging whether to generate a correction instruction for each initial sub-region, including: Establish an initial sub-region sequence D, D=(d1, d2…d…) i …d m1 ), where d i Let m1 be the i-th initial sub-region; m1 is the number of initial sub-regions; and m1 <m; Based on the initial sub-region sequence D, d is set sequentially. i The initial target region; Generating a deviation value h of a target initial region; Presetting a deviation value threshold H1; If h > H1, generating a correction instruction for the target initial region, segmenting the target initial region based on the correction instruction, and generating multiple operating sub-regions according to the segmentation result; If h < H1, setting the target initial region as a single operating sub-region.

6. The outdoor display unit redundancy backup system based on fault prediction as described in claim 4, characterized in that, Setting a configuration sub-strategy for each primary device point, including: Obtain the sequence W, W=(w1,w2…w) of the running sub-region. i …w m2 ), where w i m1 represents the i-th running sub-region; m2 represents the number of running sub-regions. Based on the running sub-region sequence W, set w sequentially. i For the target operating area; Generating a redundancy device configuration quantity of a target operating region according to the fault prediction model; Establishing a primary device point sequence B1 of the target operating region; B1=(b 11 b 12 …b 1i …b 1m3 ), where b 1i m3 represents the i-th primary equipment point in the target operating area; m3 represents the number of primary equipment points in the target operating area. Generating an allocation evaluation value for each primary device point in the primary device point sequence B1; Generating a configuration sub-strategy for each primary device point in the target operating region according to all the allocation evaluation values.

7. The outdoor display unit redundancy backup system based on fault prediction as described in claim 6, characterized in that, Generating a configuration sub-strategy for each primary device point in the target operating region, including: Based on the sequence of primary equipment points B1, set b sequentially. i For the target device point; Generating an allocation evaluation value f of a target device point; f=[ or i *v i ]; Where θ1 is the number of evaluation indicators assigned; η i Assign an impact factor to the i-th evaluation index; v i Assign a reference value for the evaluation index to the i-th target equipment point; Sequentially generating an allocation evaluation value for each primary device point in the primary device point sequence B1; Setting the primary device point with the smallest allocation evaluation value in the primary device point sequence B1 as an anchor device point; Obtaining an expected allocation quantity of the anchor device point and setting an initial allocation quantity for each primary device point in the primary device point sequence B1 according to the expected allocation quantity; Obtaining the remaining quantity of redundant devices in the target operating region; Setting a primary allocation order according to all the allocation evaluation values and setting a primary allocation strategy according to the primary allocation order and the remaining quantity of redundant devices. Generate the configuration sub-strategies for each first-level device point in the target operation area according to the first-level allocation strategy.

8. The outdoor display unit redundancy backup system based on fault prediction as described in claim 3, characterized in that, The central control unit further includes: The second processing module is used to establish the sequence of device points P, P=(p1,p2…p i …p r ), where p i Let be the i-th device point; r is the number of device points; Based on the equipment point sequence P, set p sequentially. i For the device to be controlled; Select the target fault sub-model based on the device category of the device point to be controlled; Establish a monitoring timeline for the device point to be controlled, and the monitoring timeline includes multiple monitoring time nodes; Obtain the state parameters of the device point to be controlled at the current monitoring time node; Generate the operation risk value k of the device point to be controlled; Preset the first operation risk value threshold K1 and the second operation risk value threshold K2, where K1 < K2; If k < K1, do not generate the control instruction for the device point to be controlled; If K1 < k < K2, generate the first-level control strategy for the device point to be controlled If k > K2, generate the second-level control instruction for the device point to be controlled, and set the second-level control strategy according to the second-level control instruction.

9. The outdoor display unit redundancy backup system based on fault prediction as described in claim 8, characterized in that, Generating the operation risk value k of the device point to be controlled includes: k=[ µ i *(s i -s' i ) 2 ]; Where θ2 is the number of status monitoring indicators for the controlled equipment points; µ i s is the reference value of the i-th status monitoring index of the device to be controlled; i Let s' be the reference value of the i-th status monitoring index of the device to be controlled at the current monitoring time point; i Let be the safety threshold for the i-th status monitoring indicator of the device to be controlled.

10. The outdoor display unit redundancy backup system based on fault prediction as described in claim 8, characterized in that, [[ID= ​ ​ ​ ​ ​ ​

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