Operation and maintenance management platform based on intelligent equipment box

Abstract

The invention relates to the technical field of monitoring operation and maintenance, in particular to an operation and maintenance management platform based on an intelligent equipment box, which comprises an acquisition end used for acquiring image information of a corresponding area, a processing end used for carrying out noise reduction processing on the image information, and a server, the recognition end is used for obtaining contour information in the image information subjected to noise reduction processing and recognizing whether a target contour exists in the image information or not according to the contour information, and the detection end is used for detecting environmental parameters of the environment where the collection end is located. The analysis end is used for judging whether the operation of the platform meets the standard or not based on the contour information, judging the reason for not meeting the standard and generating a corresponding processing instruction; and the storage end is used for storing the preset contour information and the corresponding preset standards. The operation parameters of the intelligent equipment box are monitored in real time and accurately adjusted based on the image information, the operation efficiency of the intelligent equipment box is guaranteed, and the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box is improved.

Description

Technical Field

[0001] The present invention relates to the field of monitoring operation and maintenance technology, and in particular to an operation and maintenance management platform based on an intelligent device box. Background Art

[0002] The devices in the smart device box (such as cameras, sensors, etc.) often play a key role in many fields such as security and environmental monitoring. Through the operation and maintenance management platform, the operating parameters of the equipment in the device box can be monitored in real time. Discover the potential failure hazards of the equipment in advance and take maintenance measures in time, thereby greatly improving the reliability and stability of the equipment operation and reducing the risk of business interruption caused by sudden equipment failure. Traditional equipment operation and maintenance usually requires operation and maintenance personnel to go to the site to check the equipment status one by one. The operation and maintenance management platform based on the smart device box enables operation and maintenance personnel to remotely monitor the status of the equipment box and internal equipment. The platform can perform refined management of the smart device box and its internal equipment. By collecting and analyzing the operation data of the equipment, the frequency of use, energy consumption, etc. of the equipment can be understood. Power, network and other resources can be reasonably allocated according to actual needs to avoid resource waste. In the field of security, cameras and other equipment in the smart device box are important means of security monitoring. With the development of technology and the expansion of application scenarios, the research on the operation and maintenance management platform based on the smart device box is of great significance.

[0003] Chinese patent publication number: CN113983301 B, discloses an integrated intelligent monitoring equipment box that is convenient for intelligent operation and maintenance, comprising a housing (100); a database; a camera (200); a focus recognition module; an image acquisition module; a driving unit (300); and a processor; wherein the processor determines that the first position data corresponding to the first content data in the first video data within a plurality of adjacent first preset times are different, and then determines that the first preset angle data is different from the second angle data, and the camera (200) is offset; the processor controls the driving unit (300) to move, so that the camera (200) rotates around the X-axis and / or the Y-axis to adjust until the first position data corresponding to the first content data in the first video data acquired by the camera (200) is the same as the first preset position data corresponding to the first preset content data acquired by the camera (200), and the angle of the camera (200) is restored.

[0004] It can be seen that the above-mentioned integrated intelligent monitoring equipment box can automatically determine the deviation of the orientation angle and adjust the orientation angle for intelligent operation and maintenance. However, the above-mentioned solution cannot monitor and accurately adjust the operating parameters of the intelligent equipment box in real time based on image information, thereby failing to guarantee the operating efficiency of the intelligent equipment box, nor the operating efficiency of the operation and maintenance management platform based on the intelligent equipment box. Summary of the invention

[0005] To this end, the present invention provides an operation and maintenance management platform based on a smart device box, which is used to overcome the problem in the prior art that the operating parameters of the smart device box cannot be monitored and accurately adjusted in real time based on image information, thereby resulting in low operating efficiency of the smart device box and the operation and maintenance management platform based on the smart device box.

[0006] To achieve the above objectives, the present invention provides an operation and maintenance management platform based on an intelligent device box, comprising:

[0007] The acquisition end includes several cameras for acquiring image information of the corresponding area;

[0008] A processing end, connected to the acquisition end, for performing noise reduction processing on the image information;

[0009] A recognition end connected to the processing end, used to obtain contour information in the image information after noise reduction processing, and to recognize whether there is a target contour in the image information according to the contour information;

[0010] The detection end is used to detect the environmental parameters of the environment where the collection end is located, including visibility and street light brightness;

[0011] An analysis end connected to the identification end, for determining whether the operation of the platform meets the standard based on the profile information, and determining the reason for not meeting the standard based on the profile information; the analysis end is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard;

[0012] The storage end is connected to the acquisition end, the detection end and the analysis end respectively, and is used to store the preset profile information and the corresponding preset standards.

[0013] Furthermore, the analysis end is used to retrieve the number of matches between the contour information and the preset contour information whose contour overlap meets the standards. The analysis end is also used to determine whether the operation of the platform meets the standards based on the number of matches, and, when it is determined that the operation of the platform does not meet the standards, determine whether the noise reduction processing of the image information meets the standards based on the average number of contour segments, or determine the reason why the operation of the platform does not meet the standards based on the average value of contour overlap; wherein the average number of contour segments is the average value of the number of contour segments that overlap between the contour information and the preset contour information in the matching results where the contour overlap meets the standards, and the average contour overlap is the average value of the contour overlap between the contour information and the preset contour information in the matching results where the contour overlap meets the standards.

[0014] Furthermore, the analysis end is also used to determine whether the noise reduction processing of the image information meets the standards based on the average number of contour segments, and to correct the noise reduction factor in the noise reduction processing of the image information based on the average number difference according to the determination result, or to determine the reason why the operation of the platform does not meet the standards based on the average value of the contour coincidence; wherein the average number difference is the difference between the preset average number of contour segments and the average number of contour segments.

[0015] Furthermore, the analysis end is further configured to reduce the noise reduction factor in the noise reduction process for the image information based on the average quantity difference, and the reduction degree of the noise reduction factor is inversely proportional to the average quantity difference.

[0016] Furthermore, the analysis end is also used to determine the reason why the operation of the platform does not meet the standards based on the average value of the contour coincidence, and to generate a corresponding processing method based on the determined reason, including: when it is determined that the reason why the operation of the platform does not meet the standards is that the visibility does not meet the standards, correcting the determination basis of the matching number based on visibility, determining the reason why the operation of the platform does not meet the standards based on the variance of the average value of the contour coincidence, or determining whether the image information is blocked based on the contour ratio; wherein the contour ratio is the ratio of the completeness of the contour information to the historical contour information, and the historical contour information is the historical contour information with the highest contour coincidence with the contour information.

[0017] Furthermore, the analysis end is also used to reduce the determination criterion of the matching number based on the visibility difference, and the reduction degree of the determination criterion of the matching number is proportional to the visibility difference; wherein the visibility difference is the difference between a preset visibility and the visibility.

[0018] Furthermore, the analysis end is also used to re-determine whether the operation of the platform meets the standards after the determination criteria of the matching number is lowered, and to re-determine the reason why the operation of the platform does not meet the standards, and to increase the brightness of the street lights based on the visibility ratio when it is determined that the reason why the operation of the platform does not meet the standards is that the brightness of the street lights does not meet the standards; wherein the visibility ratio is the ratio of the visibility to the preset visibility.

[0019] Furthermore, the analysis end is also used to determine the reason why the operation of the platform does not meet the standards based on the variance of the average value of the contour coincidence, and to reduce the determination criteria of the matching number based on the visibility difference according to the determination result, or to determine whether the image information is obstructed based on the contour ratio.

[0020] Furthermore, the analysis end is also used to determine whether the image information is obstructed based on the contour ratio, and to correct the contour coincidence determination standard based on the contour ratio difference when it is determined that the image information is obstructed, or to issue a notification that the image information needs to be reselected when it is determined that an error has occurred in the selection of the image information; wherein the contour ratio difference is the difference between a preset contour ratio and the contour ratio.

[0021] Furthermore, the analysis end is further used to reduce the judgment standard of the contour coincidence based on the contour ratio difference, and the reduction range of the judgment standard of the contour coincidence is proportional to the contour ratio difference.

[0022] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention sets an analysis end and a control end to determine whether the operation of the platform meets the standards based on the profile information and to determine the reasons for non-compliance with the standards based on the profile information. The present invention can quickly and accurately complete the determination of whether the operation of the platform meets the standards, and effectively realize real-time monitoring of the operating parameters of the smart device box based on image information. The analysis end is also used to generate corresponding processing instructions according to the determined reasons for non-compliance with the standards, and effectively realize precise adjustment of the operating parameters of the smart device box based on the image information. While effectively ensuring the operating efficiency of the smart device box, it effectively improves the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0023] Furthermore, the analysis end provided in the present invention is also used to determine whether the noise reduction processing of the image information meets the standards based on the average number of contour segments, thereby further realizing real-time monitoring of the operating parameters of the smart device box based on the image information, and more accurately determining whether the noise reduction processing of the image information meets the standards. While further ensuring the operating efficiency of the smart device box, it further improves the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0024] Furthermore, the analysis end provided in the present invention is also used to reduce the noise reduction factor in the noise reduction processing process for the image information based on the average quantity difference, thereby further realizing the precise adjustment of the operating parameters of the smart device box based on the image information, and timely and accurately completing the targeted correction of the noise reduction factor, while further ensuring the operating efficiency of the smart device box, and further improving the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0025] Furthermore, the analysis end provided in the present invention is also used to determine the reason why the operation of the platform does not meet the standards based on the average value of contour overlap, further realizing real-time monitoring of the operating parameters of the smart device box based on image information, and quickly and accurately completing the determination of the reason why the operation of the platform does not meet the standards, while further ensuring the operating efficiency of the smart device box, further improving the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0026] Furthermore, the analysis end provided in the present invention is also used to reduce the judgment criterion of the matching number based on the visibility difference, further realizing the precise adjustment of the operating parameters of the smart device box based on the image information, effectively ensuring the matching of the judgment criterion of the matching number and the visibility, while further ensuring the operating efficiency of the smart device box, further improving the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0027] Furthermore, the analysis end provided in the present invention is also used to re-determine whether the operation of the platform meets the standards and to re-determine the reason why the operation of the platform does not meet the standards after the determination benchmark of the matching number is lowered, thereby further realizing real-time monitoring of the operating parameters of the smart device box based on image information, and increasing the street light brightness based on the visibility ratio when it is determined that the reason why the operation of the platform does not meet the standards is that the street light brightness does not meet the standards, thereby further realizing precise adjustment of the operating parameters of the smart device box based on image information, thereby avoiding the situation where the operation of the platform does not meet the standards due to the street light brightness not meeting the standards, and further ensuring the operating efficiency of the smart device box while further improving the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0028] Furthermore, the analysis end provided in the present invention is also used to determine the reason why the operation of the platform does not meet the standards based on the variance of the average value of contour coincidence, further realizing real-time monitoring of the operating parameters of the smart device box based on image information, avoiding the occurrence of misjudgment, and further ensuring the operating efficiency of the smart device box while further improving the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0029] Furthermore, the analysis end provided in the present invention is also used to determine whether there is occlusion in the image information based on the contour ratio, thereby further realizing real-time monitoring of the operating parameters of the smart device box based on the image information, avoiding the occurrence of misjudgment, and further ensuring the operating efficiency of the smart device box while further improving the operating efficiency of the operation and maintenance management platform based on the smart device box.

[0030] Furthermore, the analysis end provided in the present invention is also used to reduce the judgment standard of contour coincidence based on the contour ratio difference, further realizing the precise adjustment of the operating parameters of the smart device box based on the image information, effectively ensuring the consistency of the judgment standard of contour coincidence with the actual situation, while further ensuring the operating efficiency of the smart device box, further improving the operating efficiency of the operation and maintenance management platform based on the smart device box. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a structural block diagram of the operation and maintenance management platform based on the intelligent device box of the present invention;

[0032] Figure 2 This is a workflow diagram of the operation and maintenance management platform based on the intelligent device box of the present invention;

[0033] Figure 3 A flowchart of the present invention for determining whether the operation of the platform meets the standard and determining whether the noise reduction processing of the image information meets the standard;

[0034] Figure 4 A flow chart of the present invention for determining why the operation of a platform does not meet standards. DETAILED DESCRIPTION

[0035] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0036] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0037] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0038] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0039] See also Figure 1 As shown, it is a structural block diagram of the operation and maintenance management platform based on the intelligent device box of the present invention. The platform of the embodiment of the present invention includes a collection end, a processing end, an identification end, a detection end, an analysis end and a storage end; wherein:

[0040] The acquisition end includes a plurality of cameras for acquiring image information of the corresponding area;

[0041] The processing end is connected to the acquisition end and is used to perform noise reduction processing on the image information;

[0042] The recognition end is connected to the processing end, and is used to obtain contour information in the image information after noise reduction processing and to recognize whether there is a target contour in the image information according to the contour information;

[0043] The detection end is used to detect environmental parameters of the environment in which the collection end is located, and the environmental parameters include visibility and street lamp brightness;

[0044] The analysis end is connected to the identification end, and is used to determine whether the operation of the platform meets the standard based on the profile information, and to determine the reason for not meeting the standard based on the profile information; the analysis end is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard;

[0045] The storage end is connected to the collection end, the detection end and the analysis end respectively, and is used to store preset profile information and corresponding preset standards.

[0046] See also Figure 2 As shown, it is a workflow diagram of the operation and maintenance management platform based on the smart device box of the present invention. When the operation and maintenance management platform based on the smart device box described in the embodiment of the present invention is running, the several cameras of the acquisition end respectively collect the image information of the corresponding area and store it in the storage end, the processing end performs noise reduction processing on the image information, the recognition end obtains the contour information in the image information after the noise reduction processing and identifies whether the target contour exists in the image information according to the contour information, the detection end is used to detect the environmental parameters of the environment where the acquisition end is located and store them in the storage end, and the environmental parameters include the visibility and the brightness of the street lamp, the analysis end determines whether the operation of the platform meets the standards based on the contour information and determines the reasons for not meeting the standards based on the contour information, and the analysis end is also used to generate corresponding processing instructions according to the determined reasons for not meeting the standards, and the analysis end uses the preset contour information and corresponding preset standards stored in the storage end during the judgment process.

[0047] See also Figure 3 As shown, it is a flowchart of the present invention for determining whether the operation of the platform meets the standard and determining whether the noise reduction processing of the image information meets the standard. The analysis end of the embodiment of the present invention is used to retrieve the number of matches between the contour information and the contour overlap in the preset contour information that meet the standard, and the analysis end is also used to determine whether the operation of the platform meets the standard based on the number of matches:

[0048] When the contour coincidence is greater than or equal to a preset contour coincidence G, it is determined that the contour information and the contour coincidence in the preset contour information meet the standard, and the number of matches whose contour coincidence meets the standard is retrieved, wherein the preset contour coincidence G in this embodiment is 98.5%;

[0049] When the number of matches is greater than or equal to the second preset number of matches Q2, it is determined that the operation of the platform meets the standard, and the label to which the preset contour information with the highest contour coincidence belongs is selected to determine the target contour of the contour information, and whether there are hidden dangers in the surrounding targets of the acquisition end according to the determined target contour, wherein the second preset number of matches Q2 in this embodiment is 16;

[0050] When the number of matches is less than the second preset number of matches Q2 and greater than or equal to the first preset number of matches Q1, it is determined that the operation of the platform does not meet the standard, and whether the noise reduction processing of the image information meets the standard is determined based on the average number of contour segments, wherein the first preset number of matches Q1 in this embodiment is 3, and the average number of contour segments is the average value of the number of contour segments that overlap between the contour information and the preset contour information in the matching result where the contour coincidence meets the standard;

[0051] When the number of matches is less than the first preset number of matches Q1, it is determined that the operation of the platform does not meet the standards, and the reason why the operation of the platform does not meet the standards is determined based on the average value of contour coincidence, wherein the average value of contour coincidence is the average value of the contour coincidence between the contour information and the preset contour information in the matching results where the contour coincidence meets the standards.

[0052] Please continue reading Figure 3 As shown, the analysis end of the embodiment of the present invention is also used to determine whether the noise reduction processing of the image information meets the standard based on the average number of contour segments:

[0053] When the average number of contour line segments is less than or equal to the preset average number of contour line segments S, it is determined that the noise reduction processing of the image information does not meet the standard, and the noise reduction magnification in the noise reduction processing process for the image information is corrected based on the average number difference, wherein the preset average number of contour line segments S=12 in this embodiment, and the average number difference is the difference between the preset average number of contour line segments and the average number of contour line segments;

[0054] When the average number of contour segments is greater than the preset average number S of contour segments, it is determined that the noise reduction processing of the image information meets the standard, and the reason why the operation of the platform does not meet the standard is determined based on the average value of the contour coincidence.

[0055] Please continue reading Figure 3 As shown, the analysis end in the embodiment of the present invention is further used to reduce the noise reduction factor in the noise reduction process for the image information based on the average quantity difference:

[0056] When the average quantity difference is greater than a second preset average quantity difference ΔD2, the noise reduction ratio is reduced to 0.96 times of the initial noise reduction ratio, wherein the second preset average quantity difference ΔD2 in this embodiment is 7;

[0057] When the average quantity difference is less than or equal to the second preset average quantity difference △D2 and greater than the first preset average quantity difference △D1, the noise reduction ratio is reduced to 0.91 times of the initial noise reduction ratio, wherein the first preset average quantity difference △D1 in this embodiment is 3;

[0058] When the average quantity difference is less than or equal to the first preset average quantity difference ΔD1, the noise reduction ratio is reduced to 0.87 times of the initial noise reduction ratio.

[0059] See also Figure 4 As shown, it is a flow chart of the present invention for determining the reason why the operation of the platform does not meet the standard. The analysis end of the embodiment of the present invention is also used to determine the reason why the operation of the platform does not meet the standard based on the average value of the contour coincidence, and generate a corresponding processing method based on the determined reason:

[0060] When the average value of the contour coincidence is less than or equal to the first preset average value of the contour coincidence V1, it is determined that the reason why the operation of the platform does not meet the standard is that the visibility does not meet the standard, and the determination criterion of the matching number is corrected based on the visibility, wherein the first preset average value of the contour coincidence V1 in this embodiment is 98.87%;

[0061] When the average value of the contour coincidence is greater than the first preset average value of the contour coincidence V1 and less than or equal to the second preset average value of the contour coincidence V2, the reason why the operation of the platform does not meet the standard is determined based on the variance of the average value of the contour coincidence, wherein the second preset average value of the contour coincidence V2 in this embodiment is 98.93%;

[0062] When the average contour coincidence value is greater than the second preset contour coincidence value V2, it is determined whether the image information is obstructed based on the contour ratio, wherein the contour ratio is the ratio of the completeness of the contour information to the contour completeness of the historical contour information, and the historical contour information is the historical contour information with the highest contour coincidence with the contour information.

[0063] Please continue reading Figure 4 As shown, the analysis end of the embodiment of the present invention is further used to reduce the determination criterion of the matching number based on the visibility difference, wherein the visibility difference is the difference between the preset visibility and the visibility: and the reduction range of the determination criterion of the matching number is proportional to the visibility difference;

[0064] When the visibility difference is less than or equal to the first preset visibility difference △B1, the determination criterion of the matching number is reduced to 0.97 times the determination criterion of the initial matching number, wherein the first preset visibility difference △B1 in this embodiment is 2.3 km;

[0065] When the visibility difference is greater than the first preset visibility difference △B1 and less than or equal to the second preset visibility difference △B2, the determination criterion of the matching number is reduced to 0.95 times the determination criterion of the initial matching number, wherein the second preset visibility difference △B2 in this embodiment is 3.8 km;

[0066] When the visibility difference is greater than the second preset visibility difference ΔB2, the determination criterion for the number of matches is reduced to 0.93 times the determination criterion for the initial number of matches.

[0067] Please continue reading Figure 4 As shown, the analysis end of the embodiment of the present invention is further used to re-determine whether the operation of the platform meets the standard after the determination benchmark of the matching number is reduced, and to re-determine the reason why the operation of the platform does not meet the standard:

[0068] When the average value of the contour coincidence is less than or equal to the first preset average value of the contour coincidence V1, it is determined that the reason why the operation of the platform does not meet the standard is that the brightness of the street lamp does not meet the standard, and the brightness of the street lamp is increased based on the visibility ratio, wherein the visibility ratio is the ratio of the visibility to the preset visibility;

[0069] When the visibility ratio is less than or equal to the first preset visibility ratio R1, the street lamp brightness is increased to 1.55 times of the initial street lamp brightness, wherein the first preset visibility ratio R1 in this embodiment is 58%;

[0070] When the visibility ratio is greater than the first preset visibility ratio R1 and less than or equal to the second preset visibility ratio R2, the street lamp brightness is increased to 1.39 times the initial street lamp brightness, wherein the second preset visibility ratio R2 of this embodiment is 73%;

[0071] When the visibility ratio is greater than the second preset visibility ratio R2, the brightness of the street lamp is increased to 1.27 times the initial brightness of the street lamp.

[0072] Please continue reading Figure 4 As shown, the analysis end of the embodiment of the present invention is also used to determine the reason why the operation of the platform does not meet the standard based on the variance of the average value of the contour coincidence:

[0073] When the variance of the average value of the contour coincidence is less than or equal to the preset variance C of the average value of the contour coincidence, the determination criterion of the matching quantity is reduced based on the visibility difference, wherein the preset variance C of the average value of the contour coincidence in this embodiment is 0.12;

[0074] When the variance of the average value of the contour coincidence is greater than the variance C of the preset average value of the contour coincidence, it is determined whether the image information is blocked based on the contour ratio.

[0075] Please continue reading Figure 4 As shown, the analysis end in the embodiment of the present invention is also used to determine whether the image information is blocked based on the contour ratio:

[0076] When the contour ratio is less than a preset contour ratio, it is determined that the image information is blocked, and the contour coincidence determination standard is corrected based on the contour ratio difference, wherein the contour ratio difference is the difference between the preset contour ratio and the contour ratio;

[0077] When the outline ratio is greater than the preset outline ratio, it is determined that an error has occurred in the selection of the image information, and a notification is issued that the image information needs to be reselected.

[0078] Please continue reading Figure 4 As shown, the analysis end in the embodiment of the present invention is further used to reduce the judgment standard of the contour coincidence degree based on the contour ratio difference:

[0079] When the contour ratio difference is greater than the second preset contour ratio difference △E2, the judgment standard of the contour coincidence is reduced to 0.955 times the judgment standard of the initial contour coincidence, wherein the second preset contour ratio difference △E2 in this embodiment is 67%;

[0080] When the contour ratio difference is less than or equal to the second preset contour ratio difference △E2 and greater than the first preset contour ratio difference △E1, the judgment standard of the contour coincidence is reduced to 0.972 times the judgment standard of the initial contour coincidence, wherein the first preset contour ratio difference △E1 in this embodiment is 33%;

[0081] When the contour ratio difference is less than or equal to the first preset contour ratio difference ΔE1, the judgment standard of the contour coincidence degree is reduced to 0.987 times of the judgment standard of the initial contour coincidence degree.

[0082] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 fall within the protection scope of the present invention.

[0083] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An operation and maintenance management platform based on a smart device box, characterized in that: include: The acquisition end includes several cameras for acquiring image information of the corresponding area; A processing end, connected to the acquisition end, for performing noise reduction processing on the image information; A recognition end connected to the processing end, used to obtain contour information in the image information after noise reduction processing, and to recognize whether there is a target contour in the image information according to the contour information; The detection end is used to detect the environmental parameters of the environment where the collection end is located, including visibility and street light brightness; An analysis end connected to the identification end, for determining whether the operation of the platform meets the standard based on the profile information, and determining the reason for not meeting the standard based on the profile information; the analysis end is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard; The storage end is connected to the acquisition end, the detection end and the analysis end respectively, and is used to store the preset profile information and the corresponding preset standards.

2. The operation and maintenance management platform based on the intelligent device box according to claim 1 is characterized in that: The analysis end is used to retrieve the number of matches between the contour information and the preset contour information whose contour coincidence meets the standard. The analysis end is also used to determine whether the operation of the platform meets the standard based on the number of matches, and, if it is determined that the operation of the platform does not meet the standard, determine whether the noise reduction processing of the image information meets the standard based on the average number of contour segments, or determine the reason why the operation of the platform does not meet the standard based on the average value of contour coincidence; wherein the average number of contour segments is the average value of the number of contour segments that overlap between the contour information and the preset contour information in the matching result in which the contour coincidence meets the standard, and the average contour coincidence is the average value of the contour coincidence between the contour information and the preset contour information in the matching result in which the contour coincidence meets the standard.

3. The operation and maintenance management platform based on the intelligent device box according to claim 2 is characterized in that: The analysis end is also used to determine whether the noise reduction processing of the image information meets the standards based on the average number of contour segments, and to correct the noise reduction factor in the noise reduction processing of the image information based on the average number difference according to the determination result, or to determine the reason why the operation of the platform does not meet the standards based on the average value of the contour coincidence; wherein the average number difference is the difference between the preset average number of contour segments and the average number of contour segments.

4. The operation and maintenance management platform based on the intelligent device box according to claim 3 is characterized in that: The analysis end is further used to reduce the noise reduction factor in the noise reduction process for the image information based on the average quantity difference, and the reduction degree of the noise reduction factor is inversely proportional to the average quantity difference.

5. The operation and maintenance management platform based on the intelligent device box according to claim 3 is characterized in that: The analysis end is also used to determine the reason why the operation of the platform does not meet the standards based on the average value of the contour coincidence, and to generate a corresponding processing method based on the determined reason, including: when it is determined that the reason why the operation of the platform does not meet the standards is that the visibility does not meet the standards, correcting the determination criterion of the matching number based on visibility, determining the reason why the operation of the platform does not meet the standards based on the variance of the average value of the contour coincidence, or determining whether the image information is blocked based on the contour ratio; wherein the contour ratio is the ratio of the completeness of the contour information to the contour of the historical contour information, and the historical contour information is the historical contour information with the highest contour coincidence with the contour information.

6. The operation and maintenance management platform based on the intelligent device box according to claim 5 is characterized in that: The analysis end is further used to reduce the determination criterion of the matching number based on the visibility difference, and the reduction degree of the determination criterion of the matching number is proportional to the visibility difference; wherein the visibility difference is the difference between a preset visibility and the visibility.

7. The operation and maintenance management platform based on the intelligent device box according to claim 6 is characterized in that: The analysis end is also used to re-determine whether the operation of the platform meets the standards after the determination benchmark of the matching number is lowered, and to re-determine the reason why the operation of the platform does not meet the standards, and to increase the brightness of the street lights based on the visibility ratio when it is determined that the reason why the operation of the platform does not meet the standards is that the brightness of the street lights does not meet the standards; wherein the visibility ratio is the ratio of the visibility to the preset visibility.

8. The operation and maintenance management platform based on the intelligent device box according to claim 5 is characterized in that: The analysis end is also used to determine the reason why the operation of the platform does not meet the standards based on the variance of the average value of the contour coincidence, and to reduce the determination criterion of the matching number based on the visibility difference according to the determination result, or to determine whether the image information is blocked based on the contour ratio.

9. The operation and maintenance management platform based on the intelligent device box according to claim 8 is characterized in that: The analysis end is also used to determine whether the image information is obstructed based on the contour ratio, and to correct the contour coincidence determination standard based on the contour ratio difference when it is determined that the image information is obstructed, or to issue a notification that the image information needs to be reselected when it is determined that an error occurs in the selection of the image information; wherein the contour ratio difference is the difference between a preset contour ratio and the contour ratio.

10. The operation and maintenance management platform based on the intelligent device box according to claim 9 is characterized in that: The analysis end is further used to reduce the judgment standard of the contour coincidence based on the contour ratio difference, and the reduction degree of the judgment standard of the contour coincidence is proportional to the contour ratio difference.

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