Fault prediction and management system for overdue service relay protection device

Abstract

The invention relates to the field of device fault management, in particular to a fault prediction and management system for an overdue service relay protection device, and the system comprises a device monitoring unit which is used for determining the type of a target device, and determining whether to adjust the fault prediction trigger reference from the same-batch image difference degree to a review image difference degree based on the device category difference value; the data analysis unit is used for judging whether fault analysis needs to be carried out or not based on a fault prediction triggering benchmark corresponding to a benchmark analysis condition, and judging whether the index revision instruction comprises acquisition frequency increasing processing or not and whether manual early warning is carried out or not according to a response control delay degree difference value corresponding to one type of devices; the fault analysis unit is used for judging whether aging fault early warning is carried out or not and whether comparative analysis is carried out or not according to the gray level change reference value and the column pixel brightness difference value corresponding to the first-class device, and judging whether the index revision instruction comprises interface increment acquisition or not; according to the invention, the fault monitoring automation efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of device fault management, and more particularly to a fault prediction and management system for relay protection devices that have exceeded their service life. Background Technology

[0002] With the continuous operation of my country's energy and power infrastructure, a large number of relay protection devices have exceeded their designed service life but are still in operation. These devices face systemic risks such as component aging and performance degradation. Their display screens, as important human-machine interfaces, directly reflect the internal status and operating information of the devices. Currently, the management of such equipment mainly relies on regular manual inspections and preventive tests, lacking intelligent and predictive fault warning methods. In particular, for the aging detection of relay protection device screens, existing technologies do not consider adaptively adjusting fault prediction management strategies based on the image characteristics acquired by the display screens of relay protection devices in actual scenarios. This results in poor intelligence in the aging detection of relay protection device screens, failing to meet the needs of automated industrial management. Summary of the Invention

[0003] To address this issue, the present invention provides a fault prediction and management system for relay protection devices that have exceeded their service life. This system overcomes the problem in the prior art that the fault prediction management strategy is not adaptively adjusted based on the image characteristics acquired by the display screen of the relay protection device in the actual scenario, resulting in poor intelligence in the aging detection capability of the relay protection device screen.

[0004] To achieve the above objectives, the present invention provides a fault prediction and management system for relay protection devices that have exceeded their service life, comprising: The device monitoring unit is used to determine the category of the target device based on the device usage time and response control delay, and to determine whether to adjust the fault prediction triggering benchmark from the difference of the same batch of images to the difference of the retrospective images based on the difference value of the device category. The data analysis unit is used to determine whether fault analysis is required based on the fault prediction triggering benchmark corresponding to the benchmark analysis conditions, and when fault analysis is not required, to determine whether the index revision instruction includes the increase of the acquisition frequency and whether manual early warning is required based on the response control delay difference of a type of device. The fault analysis unit is used to perform fault analysis and determine whether to perform aging fault warning and comparative analysis based on the grayscale change reference value and column pixel brightness difference value corresponding to a type of device. It also determines whether the index revision instruction includes interface incremental acquisition based on the interface richness corresponding to a type of device.

[0005] Furthermore, the device monitoring unit determines the fault prediction triggering benchmark as the difference degree of images in the same batch based on the difference condition that the device category difference value is less than or equal to the preset device category difference value.

[0006] Furthermore, based on the condition that the device category difference value is greater than the preset device category difference value, the device monitoring unit determines to adjust the fault prediction triggering benchmark to the review image difference degree.

[0007] Furthermore, the device monitoring unit determines that a target device is a Class I device if its usage time is greater than the preset usage time or its response control delay is greater than the preset response control delay. For a target device whose device usage time is less than or equal to a preset device usage time and whose response control delay is less than or equal to a preset response control delay, the target device is determined to be a Class II device.

[0008] Furthermore, the data analysis unit determines that fault analysis is required based on the baseline analysis condition that the fault prediction triggering benchmark is higher than the preset fault prediction triggering benchmark.

[0009] Furthermore, the data analysis unit obtains the response control delay difference value corresponding to a type of device. If the response control delay difference value is greater than the preset response control delay difference value, it determines to issue a manual warning. If the response control delay difference is less than or equal to the preset response control delay difference, the determination indicator revision instruction includes increasing the acquisition frequency.

[0010] Furthermore, the fault analysis unit performs fault analysis on a type of device and determines that an aging fault warning is issued for a type of device whose grayscale change reference value is less than or equal to the preset grayscale gradient change rate or whose column pixel brightness difference value is greater than the preset brightness difference value.

[0011] Furthermore, the fault analysis unit performs fault analysis on a type of device, and determines a type of device that has a grayscale change reference value greater than a preset grayscale gradient change rate and a column pixel brightness difference value less than or equal to a preset brightness difference value for comparative analysis.

[0012] Furthermore, the fault analysis unit performs comparative analysis. For devices with interface richness less than the preset interface richness, the judgment index revision instruction includes interface increment acquisition.

[0013] Furthermore, the incremental acquisition of the interface includes: Incremental values ​​are determined based on the difference in interface richness. The incremental value and the difference in interface richness are positively correlated; Acquire images of the number of functional interfaces corresponding to a type of device, which are the same as the incremental value.

[0014] Compared with the prior art, the beneficial effects of the present invention are that the technical solution of the present invention achieves accurate classification of relay protection devices based on the dual evaluation of device usage time and response control delay. By dynamically determining the difference value of device category, the difference analysis of the same batch of images or the difference analysis of the retrospective images are selected as the fault prediction trigger benchmark, thereby quickly screening abnormal devices. The analysis is dynamically adjusted according to the actual situation of the device, which improves the pertinence and accuracy of the detection.

[0015] Furthermore, in this invention, the determination of whether the index revision instruction includes the acquisition frequency increase processing is based on the response control delay difference corresponding to a certain type of device, and the determination of whether the index revision instruction includes interface incremental acquisition is based on the interface richness corresponding to a certain type of device. This makes the determination of the index revision instruction more in line with the actual application scenario and improves the management accuracy and effectiveness of the acquired images of the subsequent relay protection device.

[0016] Furthermore, in the fault analysis of this invention, for devices with interface richness less than the preset interface richness, the judgment index revision instruction includes interface increment acquisition. Taking into account the different recognition difficulties of different functional interfaces on the display screen, the increment value is determined based on the interface richness difference, which improves the accuracy of subsequent analysis and thus improves the fault prediction and management accuracy of this invention. Attached Figure Description

[0017] Figure 1 This is a unit connection diagram of the fault prediction and management system for overdue relay protection devices of the present invention; Figure 2 A flowchart for determining the category of the target device in this invention; Figure 3 This is a flowchart illustrating the present invention for determining whether to adjust the fault prediction triggering benchmark from the difference degree of the same batch of images to the difference degree of the retrospective images based on the device category difference value; Figure 4 This is a flowchart for determining whether fault analysis is needed based on the fault prediction triggered by the baseline analysis conditions. Detailed Implementation

[0018] To make the objectives and advantages of this invention clearer, the invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0020] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0021] Please see Figures 1 to 4 As shown, the present invention provides a fault prediction and management system for relay protection devices that have exceeded their service life, comprising: The device monitoring unit is used to determine the category of the target device based on the device usage time and response control delay, and to determine whether to adjust the fault prediction triggering benchmark from the difference of the same batch of images to the difference of the retrospective images based on the difference value of the device category. The data analysis unit is used to determine whether fault analysis is required based on the fault prediction triggering benchmark corresponding to the benchmark analysis conditions, and to determine whether the index revision instruction includes the increase of the acquisition frequency and whether manual early warning is required based on the response control delay difference of a type of device. The fault analysis unit is used to perform fault analysis and determine whether to perform aging fault warning and comparative analysis based on the grayscale change reference value and column pixel brightness difference value corresponding to a type of device. It also determines whether the index revision instruction includes interface incremental acquisition based on the interface richness corresponding to a type of device.

[0022] In this invention, the target device is a relay protection device. The administrator periodically takes pictures of the display screens of each relay protection device to obtain captured images. Specifically, the device monitoring unit determines the fault prediction triggering benchmark as the difference degree of images in the same batch based on the difference condition that the difference value of device category is less than or equal to the preset difference value of device category.

[0023] Specifically, the device monitoring unit determines to adjust the fault prediction triggering benchmark to the difference degree of the review image based on the difference condition that the difference value of the device category is greater than the preset difference value of the device category.

[0024] The device category difference value is the number of devices in category 1 minus the number of devices in category 2. In this embodiment of the invention, the preset device category difference value is the number of devices in category 1, rounded up to 10% of the number of devices in category 1. It can be understood that the larger the device category difference value, the greater the difference in the number of devices in category 2 and category 1, and the lower the accuracy of the difference degree of the same batch of images. Therefore, the greater the accuracy requirement of the difference degree of the same batch of images as the fault prediction triggering benchmark for the managers, the smaller the preset device category difference value.

[0025] Specifically, the device monitoring unit determines that a target device is a Class I device if its usage time is longer than the preset usage time or its response control delay is greater than the preset response control delay. For a target device whose device usage time is less than or equal to a preset device usage time and whose response control delay is less than or equal to a preset response control delay, the target device is determined to be a Class II device.

[0026] For a single target device, the corresponding device usage time is the total time the target device is used in the working environment. The response control latency is calculated by acquiring the most recent number of operation behaviors, detecting the latency sub-values ​​corresponding to each operation behavior, and recording the average of the latency sub-values ​​as the response control latency. A single operation behavior begins when the corresponding function key on the display screen is clicked. If no function key is clicked within 5 minutes after a certain function key click, the operation behavior ends. For a single operation behavior, the corresponding latency sub-value is the average of the time intervals between adjacent function key clicks within that operation behavior. The number of operation behaviors extracted can be adjusted by the administrator; the higher the accuracy requirement of the response control latency, the greater the number of operation behaviors extracted. It is understood that the function keys corresponding to the display screen can be in the form of physical buttons or virtual buttons on the screen; no specific limitations are made here.

[0027] In this embodiment of the invention, the preset device usage time is 3 years and the preset response control delay is 15 seconds. It can be understood that the longer the device usage time, the more likely the display screen is to experience aging failure. The greater the response control delay, the more likely the user is to be affected by the screen display effect in actual operation. Therefore, the higher the requirements of the management personnel for the timeliness of screen aging monitoring, the smaller the values ​​of the preset device usage time and the preset response control delay.

[0028] Specifically, the data analysis unit determines that fault analysis is required based on the baseline analysis condition that the fault prediction triggering benchmark is higher than the preset fault prediction triggering benchmark.

[0029] For a single Class I device, the method for confirming the difference in the corresponding batch of images is to detect the difference between the most recently uploaded image of the Class I device and the most recently uploaded images of other Class II devices, and record the average value of the image difference as the difference in the batch of images.

[0030] For a single type of device, the method for confirming the image difference is to detect the image difference between the most recently uploaded image of the device and the historical images reviewed, and record the average value of the image difference as the image difference.

[0031] The historical review images are all images of this type of device uploaded within the historical review period up to the current time. In this embodiment of the invention, the historical review period is 1 month. It can be understood that the higher the accuracy requirement of the management personnel for the difference in the review images, the longer the historical review period will be.

[0032] For any two acquired images, the corresponding image difference is the difference in the uniform brightness values ​​of the two acquired images. For a single acquired image, the corresponding uniform brightness value is the average brightness value of each pixel block.

[0033] In this invention, the preset fault prediction trigger benchmark is the average value of the brightness uniformity of the acquired images used to calculate the fault prediction trigger benchmark. It can be understood that the larger the fault prediction trigger benchmark is, the greater the degree of abnormality corresponding to a certain type of device. The smaller the tolerance of the management personnel for the abnormality corresponding to a certain type of device, the smaller the value of the fault prediction trigger benchmark.

[0034] Specifically, if it is determined that no fault analysis is required, the data analysis unit obtains the response control delay difference value corresponding to a certain type of device. If the response control delay difference value is greater than the preset response control delay difference value, it is determined to issue a manual warning. If the response control delay difference is less than or equal to the preset response control delay difference, the determination indicator revision instruction includes increasing the acquisition frequency.

[0035] The response control delay difference is the value obtained by subtracting the preset response control delay from the response control delay. In this embodiment of the invention, the preset response control delay difference is 30% of the average response control delay of the two types of devices. It can be understood that the larger the response control delay difference is, the greater the degree to which the response control delay difference exceeds the maximum value that the management personnel can accept. The higher the management personnel’s requirements for the accuracy of fault monitoring, the smaller the preset response control delay difference is.

[0036] Manual early warning refers to the transmission of information to management personnel via wireless communication to remind them to manually monitor a certain type of device for faults. Specifically, how to manually detect faults on the display screen of the relay protection device is a topic already understood by those skilled in the art and will not be elaborated further.

[0037] When the index revision instruction is increased, it is transmitted to the management personnel via wireless communication to remind them to adjust the acquisition frequency of subsequent images. The adjusted acquisition frequency is 1.5 times the original acquisition frequency and rounded up. The unit of acquisition frequency is times per week. The duration between any two adjacent acquisition times is the same.

[0038] Specifically, the fault analysis unit performs fault analysis on a type of device and determines that an aging fault warning is issued for a type of device whose grayscale change reference value is less than or equal to the preset grayscale gradient change rate or whose column pixel brightness difference value is greater than the preset brightness difference value.

[0039] For a single type of device, the grayscale change reference value is determined by detecting the average of the sub-change reference values ​​corresponding to each historical review image of that type of device, and recording this average as the grayscale change reference value. The formula for calculating the sub-change reference value for a single acquired image is as follows:

[0040] Among them, randomly select the image to be acquired 1 pixel block For the first The grayscale value corresponding to each pixel block This represents the average grayscale value of each pixel block. The number of randomly selected pixel blocks can be set by administrators according to actual needs. The higher the accuracy requirement for the sub-variable reference value, the better. The larger the value, the better.

[0041] For a single type of device, the method for confirming the corresponding column pixel brightness difference value is to detect the average value of the sub-difference values ​​corresponding to each historical review acquisition image of the type of device, and record it as the column pixel brightness difference value. For a single acquisition image, the method for confirming the corresponding sub-difference value is to detect the average brightness value of each pixel column, and record the difference between the maximum value of the average brightness value and the minimum value of the average brightness value as the sub-difference value. A pixel column is a column of pixel blocks located at the same position in the horizontal direction within the acquisition image.

[0042] In this embodiment of the invention, the preset grayscale gradient change rate is The preset brightness difference value is 50% of the maximum value of the average brightness value of each acquired image. It can be understood that the smaller the tolerance of the management personnel for aging faults, the smaller the preset grayscale gradient change rate and the larger the preset brightness difference value.

[0043] Aging fault warnings are transmitted to management personnel via wireless communication to alert them to potential malfunctions in a particular type of device.

[0044] Specifically, the fault analysis unit performs fault analysis on a type of device, and determines a type of device that has a grayscale change reference value greater than a preset grayscale gradient change rate and a column pixel brightness difference value less than or equal to a preset brightness difference value for comparative analysis.

[0045] Specifically, the fault analysis unit performs comparative analysis. For devices with a less than preset interface richness, the judgment index revision instruction includes interface increment acquisition.

[0046] For devices with an interface richness greater than or equal to a preset interface richness, the judgment index revision instruction does not include interface increment acquisition.

[0047] For a single type of device, the method for determining interface richness is to acquire the captured images of each historical review corresponding to that type of device, detect the recently used function keys corresponding to each captured image, and then determine the interface richness. = Number of recently used function keys with a count greater than 1 / Total number of recently used function keys. For a single captured image, the most recently used function key is the function key that was most recently clicked before the time the image was captured.

[0048] In this embodiment of the invention, the preset interface richness is 50% of the total number of recently used function keys. It can be understood that the smaller the interface richness, the worse the data support capability of the acquired images for fault analysis. Therefore, the higher the management personnel's requirements for fault analysis accuracy, the greater the preset interface richness.

[0049] Specifically, the incremental acquisition of the interface includes: Incremental values ​​are determined based on the difference in interface richness. The incremental value and the difference in interface richness are positively correlated; Acquire images of the number of functional interfaces corresponding to a type of device, which are the same as the incremental value.

[0050] The indicator revision instruction includes transmitting the incremental acquisition of the interface to the management personnel via wireless communication to remind them to perform targeted image acquisition for a certain type of device. The acquired images are different functional interfaces. It can be understood that the display screen can display different functional interfaces, including but not limited to parameter monitoring, fault recording, and network communication status. The incremental value is equal to the baseline quantity plus the adjustment value. The baseline quantity is 10, and the adjustment value is the result of rounding up the calculation result of the interface richness difference / preset interface richness difference.

[0051] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A failure prediction and management system for an overaged relay protection device, characterized by, include: The device monitoring unit is used to determine the category of the target device based on the device usage time and response control delay, and to determine whether to adjust the fault prediction triggering benchmark from the difference of the same batch of images to the difference of the retrospective images based on the difference value of the device category. The data analysis unit is used to determine whether fault analysis is required based on the fault prediction triggering benchmark corresponding to the benchmark analysis conditions, and when fault analysis is not required, to determine whether the index revision instruction includes the increase of the acquisition frequency and whether manual early warning is required based on the response control delay difference of a type of device. The fault analysis unit is used to perform fault analysis and determine whether to perform aging fault warning and comparative analysis based on the grayscale change reference value and column pixel brightness difference value corresponding to a type of device. It also determines whether the index revision instruction includes interface incremental acquisition based on the interface richness corresponding to a type of device.

2. The system for failure prediction and management for overaged relay protection devices according to claim 1, characterized in that, The device monitoring unit determines the fault prediction triggering benchmark as the difference degree of images in the same batch based on the difference condition that the difference value of device category is less than or equal to the preset difference value of device category.

3. The system for failure prediction and management for overaged relay protection devices according to claim 1, wherein, The device monitoring unit determines to adjust the fault prediction triggering benchmark to the difference degree of the review image based on the difference condition that the difference value of the device category is greater than the preset difference value of the device category.

4. The system for failure prediction and management for overaged relay protection devices according to claim 1, wherein, The device monitoring unit determines that a target device is a Class I device if its usage time is greater than the preset usage time or its response control delay is greater than the preset response control delay. For a target device whose device usage time is less than or equal to a preset device usage time and whose response control delay is less than or equal to a preset response control delay, the target device is determined to be a Class II device.

5. The system for failure prediction and management of overaged relay protection devices according to claim 2 or 4, characterized in that, The data analysis unit determines that fault analysis is required based on the baseline analysis condition that the fault prediction triggering benchmark is higher than the preset fault prediction triggering benchmark.

6. The fault prediction and management system for overdue relay protection devices according to claim 5, characterized in that, The data analysis unit obtains the response control delay difference value corresponding to a type of device. If the response control delay difference value is greater than the preset response control delay difference value, it determines that a manual warning should be issued. If the response control delay difference is less than or equal to the preset response control delay difference, the determination indicator revision instruction includes increasing the acquisition frequency.

7. The fault prediction and management system for relay protection devices exceeding their service life as described in claim 6, characterized in that, The fault analysis unit performs fault analysis on a type of device and determines that devices whose grayscale change reference value is less than or equal to the preset grayscale gradient change rate or whose column pixel brightness difference value is greater than the preset brightness difference value will be given an aging fault warning.

8. The fault prediction and management system for relay protection devices exceeding their service life as described in claim 7, characterized in that, The fault analysis unit performs fault analysis on a type of device, and makes a comparative analysis on a type of device whose grayscale change reference value is greater than the preset grayscale gradient change rate and whose column pixel brightness difference value is less than or equal to the preset brightness difference value.

9. The fault prediction and management system for relay protection devices exceeding their service life as described in claim 8, characterized in that, The fault analysis unit performs comparative analysis. For devices with a less-than-preset interface richness, the judgment index revision instruction includes interface increment acquisition.

10. The fault prediction and management system for overdue relay protection devices according to claim 9, characterized in that, The incremental acquisition of the interface includes: Incremental values ​​are determined based on the difference in interface richness. The incremental value and the difference in interface richness are positively correlated; Acquire images of the number of functional interfaces corresponding to a type of device, which are the same as the incremental value.

Images