CN115482482A - Method and system for structured analysis of equipment video based on hierarchical classification - Google Patents

Abstract

The invention provides a hierarchical classification-based equipment video structured analysis method, which comprises the following steps: carrying out hierarchical management and operation and maintenance on the equipment; acquiring N authorized video structured analysis paths; adding unresolved equipment by adopting a mode of combining manual shelving and automatic shelving and performing video structured analysis. The device is hierarchically scheduled in a layered mode, so that the video structured platform can select some devices with higher ranks for scheduling analysis, and the video structured capability is improved; some valuable and actually meaningful equipment can be selected for analysis; the value of one device can be scientifically judged through the data model, and important point positions and potential blind point positions are identified.

Description

Method and system for structured analysis of equipment video based on hierarchical classification

Technical Field

The invention belongs to the technical field of structured analysis of equipment videos, and particularly relates to a method and a system for structured analysis of the equipment videos based on hierarchical classification.

Background

The video structuralization is a technology for extracting video content information, and is a technology for organizing text information which can be understood by a computer and people by adopting processing means such as space-time segmentation, feature extraction, object identification and the like according to semantic relations of video content.

The video structuring technology tightly grasps a main line of video content information processing and networking sharing application, the industry strives to pass through technical offense and system construction for several years, intelligence of monitoring video information and intellectualization of a video monitoring network are comprehensively realized, and universality of related video application is strengthened. Namely, video information processing and analysis mainly based on machine automatic processing is realized, and the video information is converted into available information of relevant work through technical means; the information sharing and active interoperation among monitoring networks, terminals and personnel are realized, and the network functions of active monitoring, automatic networking analysis and the like are realized; the application mode of the video in relevant work is expanded in an all-round way, the usability of the technology is greatly improved, and flexible, simple and diversified video on-demand service application centering on business personnel at any time and any place is realized.

However, the existing video structuralization has a limited number of authorized paths, only part of important point location devices can be selected, the analysis resource utilization value is low, many off-line devices can be analyzed generally, or devices without actual values cannot be scientifically evaluated, and therefore, the existing video structuralization has certain limitations.

In view of the above, it is very significant to provide a method and system for structured parsing of device video based on hierarchical hierarchy.

Disclosure of Invention

In order to solve the problems that the existing limited resource which can not fully utilize the video structurization can not be used for analyzing the equipment point location, the utilization value of the analysis resource is lower and the like, the invention provides a method and a system for analyzing the video structurization of equipment based on hierarchical classification, so as to solve the technical defect problems.

In a first aspect, the present invention provides a method for structured parsing of a device video based on hierarchical classification, where the method includes the following steps:

carrying out hierarchical management and operation and maintenance on the equipment;

acquiring N authorized video structured analysis paths;

adding unresolved equipment by adopting a mode of combining manual shelving and automatic shelving and performing video structured analysis.

Preferably, the hierarchical management of the device includes: carrying out hierarchical classification according to the importance degree of the equipment, and sequentially dividing the equipment into a first-class point, a second-class point and a third-class point, if the current point location fails and needs to be operated and maintained, automatically switching to the point location of the next importance degree level for replacement, and not storing the video stream of the current point location; and replacing the current point location again after the operation and maintenance are finished.

Further preferably, the operation and maintenance of the equipment comprises: and judging whether the equipment is abnormal or not by adopting a manual and automatic inspection mode, if so, operating and maintaining, examining and maintaining the result at the bottom of the month, scoring according to the examination result, and publishing the performance examination result of the comprehensive score of the equipment.

Further preferably, the method further comprises the steps of scoring the equipment according to a comprehensive scoring rule of the equipment and calculating the score, wherein the calculation formula of the score of the equipment is as follows: the total score of the device = (average online rate of the device per month × basic score × weight) + ((illegal case data per month) × basic score × weight) + (violation data per month × basic score × weight) + (average qualification rate of historical recorded quality per month × basic score × weight) + (average qualification rate of recorded integrity per month × basic score × weight) + (average qualification rate of video quality diagnosis per month × basic score × weight) + (quantity of snap shots of the device per month, quality = basic score × weight) + (wifi and mac quantity of collected mobile phones of the device per month = basic score); wherein, the basic score and the weight are set according to the actual situation.

Preferably, the method further comprises the following steps: and identifying three groups of point locations through a data model for situation release and ranking by combining the GIS map information with the snapshot data and the change trend of the snapshot quantity acquired by the front-end equipment, wherein the three groups of point locations comprise point locations with low snapshot quantity and quality, hot point locations with large pedestrian volume and potential blind point locations of cities.

Preferably, the manual shelving comprises selecting points with higher importance degree to perform shelving; when the point location of the manual shelving is in an off-line state, directly shelving off, and searching the point location with the closest distance to the longitude and latitude of the point location from the list to be analyzed for replacement; and if the corresponding point position is not found in the list to be analyzed, replacing according to the highest score of the equipment, and automatically replacing after the point position is on line again.

Preferably, the automatic racking further comprises: and when the data of manual shelving is removed, the number of the video structured analysis paths is still less than N, and the system automatically shelves according to the comprehensive score rule of the equipment.

In a second aspect, the present invention further provides a system for structured parsing of a device video based on hierarchical classification, including:

a hierarchical management module: the device is used for hierarchical classification according to the importance degree of the device;

the operation and maintenance module: the system is used for carrying out operation and maintenance management on the equipment;

the equipment comprehensive scoring module: the device score evaluation system is used for evaluating the devices and calculating the scores of the devices, and the scores are sorted according to the scores;

a data model module: the system is used for identifying point locations, releasing situation and ranking;

manual shelving module: the method is used for selecting points with higher importance degree to be put on shelves, put off shelves and replaced;

automatic module of putting on shelf: the system is used for automatically putting on shelves according to the comprehensive scoring rules of the system.

In a third aspect, an embodiment of the present invention provides an electronic device, including: one or more processors; storage means for storing one or more programs which, when executed by one or more processors, cause the one or more processors to carry out a method as described in any one of the implementations of the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.

Compared with the prior art, the beneficial results of the invention are as follows:

(1) The device is hierarchically scheduled in a layered mode, so that the video structured platform can select some devices with higher ranks for scheduling analysis, and the video structured capability is improved; some valuable and actually meaningful equipment can be selected for analysis; the value of one device can be scientifically judged through the data model, and important point positions and potential blind point positions are identified.

(2) The video structured analytic resources are fully utilized through the idea of hierarchical management of the equipment; identifying points with low snapshot quantity and quality, hot point points with high pedestrian flow and potential blind point points of a city through a data model; and scientifically evaluating the value of the equipment through the data model.

Drawings

The accompanying drawings are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and together with the description serve to explain the principles of the invention. Other embodiments and many of the intended advantages of embodiments will be readily appreciated as they become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale relative to each other. Like reference numerals designate corresponding similar parts.

FIG. 1 is an exemplary device architecture diagram in which one embodiment of the present invention may be applied;

FIG. 2 is a flow chart illustrating a method for structured video parsing for hierarchical-based devices according to an embodiment of the present invention;

fig. 3 is a schematic overall structure diagram of a method for structured video parsing of a hierarchical-hierarchy-based device according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram illustrating a device score rule in a method for structured parsing of device video based on hierarchical hierarchy according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of point location identification in a method for structured video parsing based on hierarchical device according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a relevant operation interface in a method for structured video parsing of a device based on hierarchical classification according to an embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a system for structured video parsing of a device based on hierarchical hierarchy according to an embodiment of the present invention

FIG. 8 is a schematic diagram of a computer apparatus suitable for use with an electronic device to implement an embodiment of the invention.

Detailed Description

In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. In this regard, directional terminology, such as "top," "bottom," "left," "right," "up," "down," etc., is used with reference to the orientation of the figures being described. Because components of embodiments can be positioned in a number of different orientations, the directional terminology is used for purposes of illustration and is in no way limiting. It is to be understood that other embodiments may be utilized and logical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Fig. 1 illustrates an exemplary system architecture 100 of a method for processing information or an apparatus for processing information to which embodiments of the present invention may be applied.

As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.

The terminal devices 101, 102, 103 may be various electronic devices having communication functions, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server that provides various services, such as a background information processing server that processes check request information transmitted by the terminal apparatuses 101, 102, 103. The background information processing server may analyze and perform other processing on the received verification request information, and obtain a processing result (e.g., verification success information used to represent that the verification request is a legal request).

It should be noted that the method for processing information provided by the embodiment of the present invention is generally executed by the server 105, and accordingly, the apparatus for processing information is generally disposed in the server 105. In addition, the method for sending information provided by the embodiment of the present invention is generally executed by the terminal equipment 101, 102, 103, and accordingly, the apparatus for sending information is generally disposed in the terminal equipment 101, 102, 103.

The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster composed of multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as a plurality of software or software modules (for example, to provide distributed services), or may be implemented as a single software or a plurality of software modules, and is not limited in particular herein.

Fig. 2 shows an embodiment of the present invention discloses a method for structured parsing of device video based on hierarchical hierarchy, as shown in fig. 2 and fig. 3, the method includes the following steps:

s1, carrying out hierarchical management and operation and maintenance on equipment;

specifically, the hierarchical management of the device includes: carrying out hierarchical classification according to the importance degree of the equipment, and sequentially dividing the equipment into a first-class point, a second-class point and a third-class point, if the current point location fails and needs to be operated and maintained, automatically switching to the point location of the next importance degree level for replacement, and not storing the video stream of the current point location; and replacing the current point location again after the operation and maintenance are finished.

Further, the importance of the devices is ranked as: one type of point > two type of point > three type of point. The video monitoring points are the key points of city, district and county (city) management, and monitoring images are monitored in real time for 24 hours by local related unit sub-control centers to control the public security and security dynamics in real time. The second type of points are cameras covering secondary main roads, key parts, public security points, personnel gathering places, case easily-issued places and the like, the dynamic video monitoring points are the key points for district and county (city) management, and monitoring images of the dynamic video monitoring points are monitored or recorded for future reference in real time by local related unit sub-control centers according to public security practice of the district in the jurisdiction to control social public security dynamics. The three types of points are cameras covering general roads, public security blind spots, remote areas, public telephone kiosks, street dead corners and the like, monitoring images of the video monitoring points mainly take local video backup and assist real-time monitoring, and conditional places can be accessed to local studios and affiliated management units for real-time monitoring.

And through a construction project hierarchical management system, the front end point with higher importance degree is selected to be subjected to analysis processing such as structuring, when the current point fails and operation and maintenance are required, the point with the next importance degree level is automatically switched to be subjected to analysis processing such as structuring, and meanwhile, the video stream of the current point is not stored any more, so that reasonable and efficient utilization of resources is realized.

The operation and maintenance of the equipment comprises the following steps: and judging whether the equipment is abnormal or not by adopting a manual and automatic inspection mode, if so, operating and maintaining, examining and maintaining the result at the bottom of the month, scoring according to the examination result, and publishing the performance examination result of the comprehensive score of the equipment.

Specifically, the hierarchical management system is applied in cooperation with the operation and maintenance system, when the operation and maintenance system diagnoses a point location needing operation and maintenance, the hierarchical management system can exert the function of efficient resource utilization, replace a fault point location, and replace the fault point location again after the operation and maintenance of the front end point location is completed. The further operation and maintenance system comprises the steps of carrying out manual and automatic inspection on equipment with the first type of points, the second type of points and the third type of points, and judging whether the equipment is normal, damaged, black, flowered, black and white, fuzzy and the like. And if the work orders need to be dispatched to maintenance personnel for maintenance in an abnormal manner, checking the maintenance result at the bottom of the moon. The assessment comprises progress, response time, completeness rate and the like. And finally, deducting according to the assessment result, and publishing the performance assessment result.

Referring to fig. 4 and 5, the method further includes scoring the device according to the comprehensive scoring rule of the device and calculating a score, where the calculation formula of the score of the device is as follows: total score of device = (average online rate of device per month × basic score ×) weight) + ((illegal case data per month) × basic score weight) + (violation, illegal data × basic score × weight per month) + (average qualification rate of historical video quality per month × basic score weight) + (average qualification rate of video integrity per month × basic score weight) + (average qualification rate of video quality diagnosis per month × basic score weight) + (number of captured pictures of device per month, quality × basic score weight) + (wifi, mac number of collected cell phones of device per month × basic score weight);

the basic score and the weight are set according to actual conditions, and the equipment quality score is subjected to weight adjustment processing according to a basic data source.

Further, the basic data sources for device scores are shown in the following table:

furthermore, the comprehensive scoring rules of the equipment are combined with manual shelving, and the video is automatically shelved to analyze valuable and meaningful point positions.

The method specifically comprises the following steps: and identifying three groups of point locations through a data model for situation release and ranking by combining the GIS map information with the snapshot data and the change trend of the snapshot quantity acquired by the front-end equipment, wherein the three groups of point locations comprise point locations with low snapshot quantity and quality, hot point locations with large pedestrian volume and potential blind point locations of cities.

The three groups of point locations mainly solve the average data of equipment snapshot in the whole county, and then situation distribution is carried out, the ranking is more forward, the ranking is more backward, some point locations often send cases but are not installed for monitoring, and the most important degree of monitoring equipment built by related units belongs to the category of the point.

Further, the data model is trained by collecting the violation case data of the device, violation data, snapshot data, wifi/mac collected data, device comprehensive score, device online time, video integrity rate and video quality definition) to obtain certain data for deduction and drilling.

S2, acquiring the number of authorized video structural analysis paths of the N paths;

s3, adding unresolved equipment in a mode of combining manual shelving and automatic shelving and performing video structured resolution;

referring to fig. 6, in particular, in this embodiment, N takes a value of 100. Because the video structuring needs to record a video recording to a human face and a vehicle to be analyzed into pictures, the CPU, the memory and the GPU are consumed, the N value is generally determined according to hardware resources of a server, and good equipment can analyze more than 100 paths.

Specifically, the manual shelving comprises the steps of selecting points with higher importance degree to perform shelving; when the point location of the manual shelving is in an off-line state, directly shelving off, and searching the point location with the closest distance to the longitude and latitude of the point location from the list to be analyzed for replacement; and if the corresponding point position is not found in the list to be analyzed, replacing according to the highest score of the equipment, and automatically replacing after the point position is on line again.

The automatic racking further comprises: and when the data of manual shelving is removed, the number of the video structured analysis paths is still less than N, and the system automatically shelves according to the comprehensive score rule of the equipment.

Further, for a camera which cannot capture the face of a person and commonly monitor a vehicle, a video record can be analyzed into a picture with the face captured and a picture with the vehicle captured only through the video structured analysis platform. Because the number of paths analyzed by each video structured analysis platform is limited to a certain extent, some good servers can analyze 1000 paths, and general servers can only analyze about 200 paths. Therefore, some important point locations such as self-built points of related units or point locations required for solving a case need to be selected as much as possible.

Specifically, the analysis is divided into two types: the first is manual shelving: for example, a certain place sends a heavy case, a monitoring video near the place needs to be analyzed, or a certain place carries a heavy performance, a heavy meeting, and the place needs to be controlled and monitored. Some equipment can be manually appointed to be on-shelf for video structural analysis, and the equipment can be manually off-shelf when the conference is finished.

The second is automatic shelving: the video structured analysis platform supports 100-channel equipment analysis, when no equipment carries out video structured analysis, important point positions can be automatically selected for analysis, resources are fully utilized, and the situation that the analysis capacity is idle is avoided.

Further, the rules of automatic selection are as follows: and selecting some equipment with higher scores, and calculating the highest score equipment according to the comprehensive score rule of the equipment for analysis.

Specifically, in this embodiment, for a point location where a person is manually put on shelf, when an offline occurs, the person is directly put off shelf. Finding out the point position (maximum range: f m) closest to the longitude and latitude from the 'to-be-analyzed', and if not found, replacing the point position with the highest point position according to 'equipment quality score'; when the point is on line again, the point is automatically replaced back.

For the starting upper equipment: the equipment quality scores are the highest 100-n, and n represents the number of the manually-mounted equipment; the score updates the equipment quality score once every night, and the equipment is put on and off the shelf according to the latest score; when the equipment is off-line, the equipment is directly off-shelf, and the equipment with the highest quality score is directly on-shelf.

The device is hierarchically scheduled in a layered mode, so that the video structured platform can select some devices with higher ranks for scheduling analysis, and the video structured capability is improved; some valuable and actually meaningful equipment can be selected for analysis; the value of one device can be scientifically judged through the data model, and important point positions and potential blind point positions are identified.

In a second aspect, the present invention further provides a system for structured parsing of device video based on hierarchical hierarchy, with reference to fig. 7, including:

hierarchical management module 71: the device is used for hierarchical classification according to the importance degree of the device;

the operation and maintenance module 72: the system is used for carrying out operation and maintenance management on the equipment;

the device composite score module 73: the device assessment system is used for assessing the devices and calculating scores of the devices, and the scores are sorted according to the scores;

the data model module 74: the system is used for identifying point locations, releasing situation and ranking;

manual racking module 75: the method is used for selecting points with higher importance degree to be put on shelves, put off shelves and replaced;

automatic racking module 76: the system is used for automatically putting on shelves according to the comprehensive scoring rules of the system.

Referring now to FIG. 8, a block diagram of a computer apparatus 600 suitable for use with an electronic device (e.g., the server or terminal device shown in FIG. 1) to implement an embodiment of the invention is shown. The electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 8, the computer apparatus 600 includes a Central Processing Unit (CPU) 601 and a Graphics Processing Unit (GPU) 602, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 603 or a program loaded from a storage section 609 into a Random Access Memory (RAM) 606. In the RAM 604, various programs and data necessary for the operation of the apparatus 600 are also stored. The CPU 601, GPU602, ROM 603, and RAM 604 are connected to each other via a bus 605. An input/output (I/O) interface 606 is also connected to bus 605.

The following components are connected to the I/O interface 606: an input portion 607 including a keyboard, a mouse, and the like; an output section 608 including a display such as a Liquid Crystal Display (LCD) and a speaker; a storage section 609 including a hard disk and the like; and a communication section 610 including a network interface card such as a LAN card, a modem, or the like. The communication section 610 performs communication processing via a network such as the internet. The driver 611 may also be connected to the I/O interface 606 as needed. A removable medium 612 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 611 as necessary, so that a computer program read out therefrom is mounted into the storage section 609 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication section 610, and/or installed from the removable media 612. The computer programs, when executed by a Central Processing Unit (CPU) 601 and a Graphics Processor (GPU) 602, perform the above-described functions defined in the method of the present invention.

It should be noted that the computer readable medium of the present invention can be a computer readable signal medium or a computer readable medium or any combination of the two. The computer readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or any combination of the foregoing. More specific examples of the computer readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution apparatus, device, or apparatus. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution apparatus, device, or apparatus. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based devices that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules described in the embodiments of the present invention may be implemented by software or hardware. The modules described may also be provided in a processor.

As another aspect, the present invention also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may be separate and not incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: carrying out hierarchical management and operation and maintenance on the equipment; acquiring N authorized video structured analysis paths; adding unresolved equipment by adopting a mode of combining manual shelving and automatic shelving and performing video structured analysis.

The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention according to the present invention is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the scope of the invention as defined by the appended claims. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.

Claims (10)

1. A method for structured parsing of a device video based on hierarchical classification is characterized in that the method comprises the following steps:

carrying out hierarchical management and operation and maintenance on the equipment;

acquiring N authorized video structured analysis paths;

adding unresolved equipment by adopting a mode of combining manual shelving and automatic shelving and performing video structured analysis.

2. The method for hierarchical hierarchy based device video structured parsing of claim 1, wherein hierarchically managing the device comprises: carrying out hierarchical classification according to the importance degree of the equipment, sequentially dividing the equipment into a first-class point, a second-class point and a third-class point, if the current point location fails and operation and maintenance are required, automatically switching to the point location of the next importance degree level for replacement, and storing the video stream of the current point location; and replacing the current point location again after the operation and maintenance are finished.

3. The method for structured parsing of device video based on hierarchical hierarchy as claimed in claim 2, wherein the operation and maintenance of the device comprises: and judging whether the equipment is abnormal or not by adopting a manual and automatic inspection mode, if so, operating and maintaining, examining and maintaining the result at the bottom of the month, scoring according to the examination result, and publishing the performance examination result of the comprehensive score of the equipment.

4. The method for structured parsing of video for device based on hierarchical level as claimed in claim 3, further comprising scoring the device according to the comprehensive scoring rule of the device and calculating the score, wherein the calculation formula of the score of the device is:

total score of device = (average online rate of device per month × basic score ×) weight) + ((illegal case data per month) × basic score weight) + (violation, illegal data × basic score × weight per month) + (average qualification rate of historical video quality per month × basic score weight) + (average qualification rate of video integrity per month × basic score weight) + (average qualification rate of video quality diagnosis per month × basic score weight) + (number of captured pictures of device per month, quality × basic score weight) + (wifi, mac number of collected cell phones of device per month × basic score weight); wherein, the basic score and the weight are set according to the actual situation.

5. The method for hierarchical hierarchy based device video structured parsing of claim 1, further comprising: and identifying three groups of point locations through a data model for situation release and ranking by combining the GIS map information with the snapshot data and the change trend of the snapshot quantity acquired by the front-end equipment, wherein the three groups of point locations comprise point locations with low snapshot quantity and quality, hot point locations with large pedestrian volume and potential blind point locations of cities.

6. The method for structured parsing of device video based on hierarchical classification as claimed in claim 1 wherein the manual shelving comprises selecting points with higher importance for shelving;

when the point location which is manually put on shelf is in an off-line state, directly putting down the shelf, and searching the point location with the closest distance to the latitude and longitude of the point location from a list to be analyzed for replacement; and if the corresponding point position is not found in the list to be analyzed, replacing according to the highest score of the equipment, and automatically replacing after the point position is on line again.

7. The method for hierarchical hierarchy-based device video structural parsing of claim 1, wherein automatic shelving further comprises: and when the data of manual shelving is removed, the number of the video structured analysis paths is still less than N, and the system automatically shelves according to the comprehensive score rule of the equipment.

8. A system for structured parsing of device video based on hierarchical hierarchy, comprising:

a hierarchical management module: the device is used for carrying out hierarchical classification according to the importance degree of the device;

the operation and maintenance module: the system is used for carrying out operation and maintenance management on the equipment;

the equipment comprehensive scoring module: the device assessment system is used for assessing the devices and calculating scores of the devices, and the scores are sorted according to the scores;

a data model module: the system is used for identifying point locations, releasing situation and ranking;

manual shelving module: the method is used for selecting points with higher importance degree to be put on shelves, put off shelves and replaced;

automatic module of putting on shelf: the system is used for automatically putting on shelves according to the comprehensive scoring rules of the system.

9. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs;

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.

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