An operation and maintenance management platform based on intelligent equipment box

Abstract

The application relates to the technical field of operation and maintenance monitoring, in particular to an operation and maintenance management platform based on an intelligent equipment box, which comprises a collection end used for collecting image information of a corresponding area, a processing end used for carrying out noise reduction processing on the image information, an identification end used for acquiring contour information in the image information after noise reduction processing and identifying whether a target contour exists in the image information according to the contour information, a detection end used for detecting environmental parameters of an environment where the collection end is located, an analysis end used for judging whether the operation of the platform conforms to a standard based on the contour information, judging a reason why the standard is not met and generating a corresponding processing instruction, and a storage end used for storing preset contour information and corresponding preset standards. The application realizes real-time monitoring and accurate adjustment of operation parameters of the intelligent equipment box based on the image information, guarantees the operation efficiency of the intelligent equipment box, and improves the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of monitoring and operation and maintenance, and in particular to an operation and maintenance management platform based on an intelligent device box. BACKGROUND

[0002] The devices (such as cameras, sensors, etc.) in the intelligent device box often play a key role in many fields such as security and environmental monitoring. Through the operation and maintenance management platform, the running parameters of the devices in the device box can be monitored in real time. Potential faults of the devices can be found in advance, and maintenance measures can be taken in time, thereby greatly improving the reliability and stability of the device operation and reducing the risk of business interruption caused by sudden device failure. Traditional device operation and maintenance usually requires operation and maintenance personnel to check the device status one by one on site. The operation and maintenance management platform based on the intelligent device box enables the operation and maintenance personnel to remotely monitor the status of the device box and the internal devices. The platform can fine-tune the management of the intelligent device box and its internal devices. By collecting and analyzing the running data of the devices, the usage frequency and energy consumption of the devices can be understood. Resources such as power and network can be allocated reasonably according to actual needs to avoid waste. In the security field, the cameras and other devices in the intelligent 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 intelligent device box is of great significance.

[0003] Chinese Patent Publication No. CN113983301B discloses an integrated intelligent monitoring device box for intelligent operation and maintenance, which includes a housing (100), a database, a camera (200), a focusing recognition module, an image acquisition module, a driving part (300), a processor, and the like. The processor determines that the first position data corresponding to the first content data in the first video data in a plurality of adjacent first preset time is different, and then determines that the first preset angle data and the second angle data are different. If the camera (200) is offset, the processor controls the driving part (300) to move, and makes the camera (200) rotate around the X-axis and / or Y-axis to adjust the first position data corresponding to the first content data in the first video data collected by the camera (200) to be the same as the first preset position data corresponding to the first preset content data collected by the camera (200), so as to restore the angle of the camera (200).

[0004] It can be seen that the above-mentioned integrated intelligent monitoring device box can automatically determine the offset of the orientation angle and adjust the orientation angle for intelligent operation and maintenance. However, the above-mentioned scheme cannot monitor and accurately adjust the running parameters of the intelligent device box based on image information, so as to ensure the running efficiency of the intelligent device box and the operation and maintenance management platform based on the intelligent device box. SUMMARY

[0005] To this end, the present invention provides an operation and maintenance management platform based on a smart device box 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, 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 collecting 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, configured to obtain contour information from the image information after noise reduction processing, and to identify whether a target contour exists in the image information based on 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 terminal connected to the identification terminal, for determining whether the operation of the platform complies with the standard based on the profile information;

[0012] The analysis end is used to retrieve the number of matches between the contour information and the preset contour information, the number of which conforms to the standard for contour overlap, and the analysis end is further used to determine whether the operation of the platform conforms to the standard based on the number of matches, and, if it is determined that the operation of the platform does not conform to the standard, determine whether the noise reduction processing of the image information conforms to the standard based on the average number of contour line segments, or determine the reason why the operation of the platform does not conform to the standard based on the average value of contour overlap;

[0013] The average number of contour segments is the average number of contour segments that overlap between the contour information and the preset contour information in the matching results where the contour coincidence meets the criteria, and the average contour coincidence is the average value of contour coincidence between the contour information and the preset contour information in the matching results where the contour coincidence meets the criteria;

[0014] The analysis end is further configured to determine a reason why the platform operation does not meet the standards based on the average value of the contour overlap, and generate a corresponding processing method based on the determined reason, including: if it is determined that the platform operation does not meet the standards due to non-standard visibility, correcting the determination criterion of the number of matches based on visibility, determining the reason why the platform operation does not meet the standards based on the variance of the average value of the contour overlap, or determining whether the image information is blocked based on the contour ratio;

[0015] The contour ratio is a ratio of the contour completeness of the contour information to the contour completeness of the historical contour information, and the historical contour information is the historical contour information that has the highest degree of overlap with the contour of the contour information;

[0016] The storage end is connected to the acquisition end, the detection end and the analysis end respectively, and is used to store preset profile information and corresponding preset standards.

[0017] 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.

[0018] 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 number difference, and the reduction extent of the noise reduction factor is inversely proportional to the average number difference.

[0019] Furthermore, the analysis end is also used to lower 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 the preset visibility and the visibility.

[0020] Furthermore, the analysis end is also used to re-determine whether the operation of the platform meets the standards after the judgment benchmark of the matching number is lowered, and to re-determine the reason why the operation of the platform does not meet the standards. 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, the brightness of the street lights is increased based on the visibility ratio; wherein the visibility ratio is the ratio of the visibility to the preset visibility.

[0021] Furthermore, the analysis end is also used to determine the reason why the platform's operation 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 number of matches based on the visibility difference according to the determination result, or to determine whether the image information is obstructed based on the contour ratio.

[0022] 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 occurs in the selection of the image information; wherein the contour ratio difference is the difference between the preset contour ratio and the contour ratio.

[0023] Further, the analysis end is also used to reduce the determination standard of the profile coincidence degree based on the profile ratio difference value, and the reduction range of the determination standard of the profile coincidence degree is proportional to the profile ratio difference value.

[0024] Compared with the prior art, the present application has the beneficial effects that the analysis end and the control end are arranged to determine whether the operation of the platform meets the standard based on the profile information and determine the reason for not meeting the standard based on the profile information, the determination of whether the operation of the platform meets the standard can be quickly and accurately completed, the operation parameters of the intelligent equipment box are effectively monitored in real time based on the image information, the analysis end is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard, the operation parameters of the intelligent equipment box are effectively adjusted accurately based on the image information, the operation efficiency of the intelligent equipment box is effectively guaranteed, and the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box is effectively improved.

[0025] Further, the analysis end arranged by the present application is also used to determine whether the noise reduction processing of the image information meets the standard based on the average number of profile line segments, further real-time monitoring of the operation parameters of the intelligent equipment box based on the image information is achieved, whether the noise reduction processing of the image information meets the standard is more accurately determined, the operation efficiency of the intelligent equipment box is further guaranteed, and the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box is further improved.

[0026] Further, the analysis end arranged by the present application is also used to reduce the noise reduction multiple in the noise reduction processing of the image information based on the average number difference value, further accurate adjustment of the operation parameters of the intelligent equipment box based on the image information is achieved, the noise reduction multiple is timely and accurately corrected, the operation efficiency of the intelligent equipment box is further guaranteed, and the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box is further improved.

[0027] Further, the analysis end arranged by the present application is also used to determine the reason for not meeting the standard of the platform based on the average value of the profile coincidence degree, further real-time monitoring of the operation parameters of the intelligent equipment box based on the image information is achieved, the reason for not meeting the standard of the platform is quickly and accurately determined, the operation efficiency of the intelligent equipment box is further guaranteed, and the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box is further improved.

[0028] Further, the analysis end arranged by the present application is also used to reduce the determination standard of the matching number based on the visibility difference value, further accurate adjustment of the operation parameters of the intelligent equipment box based on the image information is achieved, the matching of the determination standard of the matching number and the visibility is effectively guaranteed, the operation efficiency of the intelligent equipment box is further guaranteed, and the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box is further improved.

[0029] Further, the analysis end provided by the present application is also used to re-determine whether the operation of the platform meets the standard after the matching number of determination criteria is reduced, and to re-determine the reason why the operation of the platform does not meet the standard, further realizing real-time monitoring of the operation parameters of the intelligent equipment box based on image information, increasing the street lamp brightness based on the increase of the visibility ratio in the case that the reason why the operation of the platform does not meet the standard is that the street lamp brightness does not meet the standard, further realizing accurate adjustment of the operation parameters of the intelligent equipment box based on image information, avoiding the situation that the operation of the platform does not meet the standard due to the street lamp brightness not meeting the standard, further ensuring the operation efficiency of the intelligent equipment box, and further improving the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box.

[0030] Further, the analysis end provided by the present application 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 degree, further realizing real-time monitoring of the operation parameters of the intelligent equipment box based on image information, avoiding the occurrence of misjudgment, further ensuring the operation efficiency of the intelligent equipment box, and further improving the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box.

[0031] Further, the analysis end provided by the present application is also used to determine whether the image information is blocked based on the contour ratio, further realizing real-time monitoring of the operation parameters of the intelligent equipment box based on image information, avoiding the occurrence of misjudgment, further ensuring the operation efficiency of the intelligent equipment box, and further improving the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box.

[0032] Further, the analysis end provided by the present application is also used to reduce the determination standard of the contour coincidence degree based on the contour ratio difference, further realizing accurate adjustment of the operation parameters of the intelligent equipment box based on image information, effectively ensuring the consistency of the determination standard of the contour coincidence degree with the actual situation, further ensuring the operation efficiency of the intelligent equipment box, and further improving the operation efficiency of the operation and maintenance management platform based on the intelligent equipment box. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 It is a structural block diagram of the operation and maintenance management platform based on the intelligent equipment box of the present application;

[0034] Figure 2 It is a work flow chart of the operation and maintenance management platform based on the intelligent equipment box of the present application;

[0035] Figure 3 It is a flow chart of determining whether the operation of the platform meets the standard and whether the noise reduction processing of the image information meets the standard;

[0036] Figure 4 This is a flow chart of the present invention for determining why the operation of the platform does not meet the standards. DETAILED DESCRIPTION

[0037] 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 merely used to explain the present invention and are not intended to limit the present invention.

[0038] 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 scope of protection of the present invention.

[0039] 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 accompanying drawings. This is only 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.

[0040] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0041] See also Figure 1 As shown in FIG, 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 an acquisition end, a processing end, an identification end, a detection end, an analysis end and a storage end; wherein:

[0042] The acquisition end includes several cameras for acquiring image information of the corresponding area;

[0043] The processing end is connected to the acquisition end and is used to perform noise reduction processing on the image information;

[0044] 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 identify whether there is a target contour in the image information according to the contour information;

[0045] 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 light brightness;

[0046] The analysis end is connected with the identification end, used to determine whether the operation of the platform meets the standard based on the contour information, and determine the reason for not meeting the standard based on the contour information; the analysis end is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard.

[0047] The storage end is connected with the collection end, the detection end and the analysis end respectively, used to store preset contour information and corresponding each preset standard.

[0048] Referring to Figure 2 The working flow chart of the operation and maintenance management platform based on the intelligent equipment box is shown. When the operation and maintenance management platform based on the intelligent equipment box is running, the plurality of cameras of the collection end respectively collect the image information of the corresponding area and store to the storage end, the processing end carries out noise reduction processing on the image information, the identification end obtains the contour information in the image information after 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 environment parameter of the environment where the collection end is located and stores to the storage end, the environment parameter includes the visibility and the street lamp brightness, the analysis end determines whether the operation of the platform meets the standard based on the contour information and determines the reason for not meeting the standard based on the contour information, the analysis end is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard, and the analysis end uses the preset contour information and corresponding each preset standard stored in the storage end in the determination process.

[0049] Referring to Figure 3 The flow chart of determining whether the operation of the platform meets the standard and whether the noise reduction processing of the image information meets the standard is shown. The analysis end is used to retrieve the matching number of the contour coincidence degree meeting the standard in the contour information and the preset contour information, and the analysis end is also used to determine whether the operation of the platform meets the standard based on the matching number:

[0050] When the contour coincidence degree is greater than or equal to the preset contour coincidence degree G, it is determined that the contour coincidence degree meets the standard in the contour information and the preset contour information, and the matching number of the contour coincidence degree meeting the standard is retrieved, wherein, in the embodiment, the preset contour coincidence degree G = 98.5%;

[0051] When the matching number is greater than or equal to the second preset matching number Q2, it is determined that the operation of the platform meets the standard, the label to which the preset contour information with the highest contour coincidence degree belongs is selected to determine the target contour of the contour information, and whether the surrounding target of the collection end exists hidden danger is determined according to the determined target contour, wherein, in the embodiment, the second preset matching number Q2 = 16;

[0052] When the matching quantity is less than the second preset matching quantity Q2 and greater than or equal to a first preset matching quantity 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 an average quantity of contour line segments, wherein, in the embodiment, the first preset matching quantity Q1 = 3, and the average quantity of contour line segments is an average value of quantities of contour line segments that coincide between the contour information and the preset contour information in the matching result in which the contour coincidence degree meets the standard;

[0053] When the matching quantity is less than the first preset matching quantity Q1, it is determined that the operation of the platform does not meet the standard, and a reason why the operation of the platform does not meet the standard is determined based on an average value of contour coincidence degrees, wherein the average value of contour coincidence degrees is an average value of contour coincidence degrees between the contour information and the preset contour information in the matching result in which the contour coincidence degree meets the standard.

[0054] Please continue to refer to Figure 3 As shown in the figure, the analysis end of the embodiment of the application is also used to determine whether the noise reduction processing of the image information meets the standard based on the average quantity of contour line segments:

[0055] When the average quantity of contour line segments is less than or equal to a preset average quantity of contour line segments S, it is determined that the noise reduction processing of the image information does not meet the standard, and a noise reduction multiple in a noise reduction processing process for the image information is corrected based on an average quantity difference value, wherein, in the embodiment, the preset average quantity of contour line segments S = 12, and the average quantity difference value is a difference value between the preset average quantity of contour line segments and the average quantity of contour line segments;

[0056] When the average quantity of contour line segments is greater than the preset average quantity of contour line segments S, it is determined that the noise reduction processing of the image information meets the standard, and a reason why the operation of the platform does not meet the standard is determined based on the average value of contour coincidence degrees.

[0057] Please continue to refer to Figure 3 As shown in the figure, the analysis end of the embodiment of the application is also used to reduce the noise reduction multiple in the noise reduction processing process for the image information based on the average quantity difference value:

[0058] When the average quantity difference value is greater than a second preset average quantity difference value AD2, the noise reduction multiple is reduced to 0.96 times of an initial noise reduction multiple, wherein, in the embodiment, the second preset average quantity difference value AD2 = 7;

[0059] When the average quantity difference value is less than or equal to the second preset average quantity difference value AD2 and greater than a first preset average quantity difference value AD1, the noise reduction multiple is reduced to 0.91 times of the initial noise reduction multiple, wherein, in the embodiment, the first preset average quantity difference value AD1 = 3;

[0060] When the average quantity difference is less than or equal to the first preset average quantity difference ΔD1, the noise reduction multiple is reduced to 0.87 times of the initial noise reduction multiple.

[0061] Please refer to Figure 4 As shown in the figure, it is a flow chart of the reason for determining that the operation of the platform does not meet the standard.

[0062] The analysis end of the embodiment of the present application is also used to determine the reason for the operation of the platform not meeting the standard based on the average profile coincidence degree, and generate a corresponding processing mode based on the determined reason:

[0063] When the average profile coincidence degree is less than or equal to the first preset average profile coincidence degree V1, it is determined that the reason for the operation of the platform not meeting the standard is that the visibility does not meet the standard, and the determination reference of the matching quantity is corrected based on the visibility, wherein the first preset average profile coincidence degree V1 of the present embodiment is 98.87%;

[0064] When the average profile coincidence degree is greater than the first preset average profile coincidence degree V1 and less than or equal to the second preset average profile coincidence degree V2, the reason for the operation of the platform not meeting the standard is determined based on the variance of the average profile coincidence degree, wherein the second preset average profile coincidence degree V2 of the present embodiment is 98.93%;

[0065] When the average profile coincidence degree is greater than the second preset average profile coincidence degree V2, it is determined whether the image information exists occlusion based on the profile ratio, wherein the profile ratio is the ratio of the profile information to the completeness of the profile of the historical profile information, and the historical profile information is the historical profile information with the highest profile coincidence degree with the profile information.

[0066] Please continue to refer to Figure 4 As shown in the figure, the analysis end of the embodiment of the present application is also used to reduce the determination reference of the matching quantity based on the visibility difference, wherein the visibility difference is the difference between the preset visibility and the visibility: and the reduction amplitude of the determination reference of the matching quantity is proportional to the visibility difference;

[0067] When the visibility difference is less than or equal to the first preset visibility difference ΔB1, the determination reference of the matching quantity is reduced to 0.97 times of the initial determination reference of the matching quantity, wherein the first preset visibility difference ΔB1 of the present embodiment is 2.3km;

[0068] When the visibility difference is greater than the first preset visibility difference ΔB1 and less than or equal to the second preset visibility difference ΔB2, the determination reference of the matching quantity is reduced to 0.95 times of the initial determination reference of the matching quantity, wherein the second preset visibility difference ΔB2 of the present embodiment is 3.8km;

[0069] When the visibility difference is greater than the second preset visibility difference ΔB2, the matching number determination reference is reduced to 0.93 times of the initial matching number determination reference.

[0070] Please continue to see Figure 4 As shown in the figure, the analysis end of the embodiment of the application is also used to re-determine whether the operation of the platform meets the standard after the matching number determination reference is reduced, and re-determine the reason why the operation of the platform does not meet the standard:

[0071] When the average profile coincidence degree is less than or equal to the first preset average profile coincidence degree V1, it is determined that the reason why the operation of the platform does not meet the standard is that the street lamp brightness does not meet the standard, and the street lamp brightness is increased based on the visibility ratio, wherein the visibility ratio is the ratio of the visibility to the preset visibility;

[0072] 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 of the embodiment is 58%;

[0073] 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 of the initial street lamp brightness, wherein the second preset visibility ratio R2 of the embodiment is 73%;

[0074] When the visibility ratio is greater than the second preset visibility ratio R2, the street lamp brightness is increased to 1.27 times of the initial street lamp brightness.

[0075] Please continue to see Figure 4 As shown in the figure, the analysis end of the embodiment of the application 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 profile coincidence degree:

[0076] When the variance of the average profile coincidence degree is less than or equal to the preset variance of the average profile coincidence degree C, the matching number determination reference is reduced based on the visibility difference, wherein the preset variance of the average profile coincidence degree C of the embodiment is 0.12;

[0077] When the variance of the average profile coincidence degree is greater than the preset variance of the average profile coincidence degree C, it is determined whether the image information exists occlusion based on the profile ratio.

[0078] Please continue to see Figure 4 As shown in the figure, the analysis end of the embodiment of the application is also used to determine whether the image information exists occlusion based on the profile ratio:

[0079] When the profile ratio is less than the preset profile ratio, it is determined that the image information is blocked, and the profile coincidence degree determination criterion is corrected based on a profile ratio difference value, wherein the profile ratio difference value is a difference between the preset profile ratio and the profile ratio.

[0080] When the profile ratio is greater than the preset profile ratio, it is determined that the selection of the image information is wrong, and a notification of needing to reselect the image information is sent out.

[0081] Please continue to refer to Figure 4 As shown in the drawings, the analysis end of the embodiment of the present application is also used to reduce the profile coincidence degree determination criterion based on the profile ratio difference value:

[0082] When the profile ratio difference value is greater than a second preset profile ratio difference value ΔE2, the profile coincidence degree determination criterion is reduced to 0.955 times of the initial profile coincidence degree determination criterion, wherein the second preset profile ratio difference value ΔE2 of the embodiment = 67%;

[0083] When the profile ratio difference value is less than or equal to the second preset profile ratio difference value ΔE2 and greater than a first preset profile ratio difference value ΔE1, the profile coincidence degree determination criterion is reduced to 0.972 times of the initial profile coincidence degree determination criterion, wherein the first preset profile ratio difference value ΔE1 of the embodiment = 33%;

[0084] When the profile ratio difference value is less than or equal to the first preset profile ratio difference value ΔE1, the profile coincidence degree determination criterion is reduced to 0.987 times of the initial profile coincidence degree determination criterion.

[0085] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will all fall within the protection scope of the present application.

[0086] The above description is only for the preferred embodiments of the present application and is not used to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An operation and maintenance management platform based on an intelligent device box, characterized in that: include: The acquisition end includes several cameras for collecting 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, configured to obtain contour information from the image information after noise reduction processing, and to identify whether a target contour exists in the image information based on 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 terminal connected to the identification terminal, for determining whether the operation of the platform complies with the standard based on the profile information; The analysis end is used to retrieve the number of matches between the contour information and the preset contour information, the number of which conforms to the standard for contour overlap, and the analysis end is further used to determine whether the operation of the platform conforms to the standard based on the number of matches, and, if it is determined that the operation of the platform does not conform to the standard, determine whether the noise reduction processing of the image information conforms to the standard based on the average number of contour line segments, or determine the reason why the operation of the platform does not conform to the standard based on the average value of contour overlap; The average number of contour segments is the average number of contour segments that overlap between the contour information and the preset contour information in the matching results where the contour coincidence meets the criteria, and the average contour coincidence is the average value of contour coincidence between the contour information and the preset contour information in the matching results where the contour coincidence meets the criteria; The analysis end is further configured to determine a reason why the platform operation does not meet the standards based on the average value of the contour overlap, and generate a corresponding processing method based on the determined reason, including: if it is determined that the platform operation does not meet the standards due to non-standard visibility, correcting the determination criterion of the number of matches based on visibility, determining the reason why the platform operation does not meet the standards based on the variance of the average value of the contour overlap, or determining whether the image information is blocked based on the contour ratio; The contour ratio is a ratio of the contour completeness of the contour information to the contour completeness of the historical contour information, and the historical contour information is the historical contour information that has the highest degree of overlap with the contour of the contour information; The storage end is connected to the acquisition end, the detection end and the analysis end respectively, and is used to store preset profile information and corresponding preset standards.

2. The operation and maintenance management platform based on the smart device box according to claim 1 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.

3. The operation and maintenance management platform based on the smart device box according to claim 2 is characterized in that: The analysis end is further configured to reduce the noise reduction magnification during the noise reduction process for the image information based on the average quantity difference, and the reduction extent of the noise reduction magnification is inversely proportional to the average quantity difference.

4. The operation and maintenance management platform based on the smart device box according to claim 1 is characterized in that: The analysis end is further configured to lower the determination criterion for the number of matches based on the visibility difference, and the reduction degree of the determination criterion for the number of matches is proportional to the visibility difference; wherein the visibility difference is the difference between a preset visibility and the visibility.

5. The operation and maintenance management platform based on the smart device box according to claim 4 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. 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, the brightness of the street lights is increased based on the visibility ratio; wherein the visibility ratio is the ratio of the visibility to the preset visibility.

6. The operation and maintenance management platform based on the smart device box according to claim 5 is characterized in that: The analysis end is also used to determine the reason why the platform's operation 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 number of matches based on the visibility difference according to the determination result, or to determine whether the image information is blocked based on the contour ratio.

7. The operation and maintenance management platform based on the smart device box according to claim 6 is characterized in that: The analysis end is further used to determine whether the image information is obstructed based on the contour ratio, and to modify 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.

8. The operation and maintenance management platform based on the smart device box according to claim 7 is characterized in that: The analysis end is further configured to lower 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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