CN117523485A - Operation management method and system for intelligent park - Google Patents

Abstract

The invention provides an operation management method and system for an intelligent park, and relates to the technical field of intelligent parks. In the invention, for two park monitoring areas, according to two park monitoring videos corresponding to the two park monitoring areas, area correlation determination processing is carried out on the two park monitoring areas so as to output area correlation values corresponding to the two park monitoring areas. And carrying out importance analysis processing on each park monitoring area according to the area correlation values corresponding to every two park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area. And screening the park monitoring video corresponding to each park monitoring area according to the area importance characterization value corresponding to the park monitoring area so as to output the corresponding target park monitoring video. Based on the method, the problem of poor operation management effect of the intelligent park in the prior art can be solved.

Description

Operation management method and system for intelligent park

Technical Field

The invention relates to the technical field of intelligent parks, in particular to an operation management method and system of an intelligent park.

Background

The information service platform of the intelligent park is introduced for park management to meet the running current situation and management requirements of various enterprises and public institutions, and can comprise park comprehensive service applications such as attendance checking, access control, parking lots, elevator control, visitor registration, consumption management, electronic patrol, asset management and the like. For example, after an accident, accident analysis processing may be performed based on the corresponding surveillance video, but in the prior art, before the surveillance video is stored, different surveillance videos are generally screened based on the same screening policy to reduce the storage amount of data, so that the screening reliability of the surveillance video may not be high, that is, there is a problem that the operation management effect of the intelligent park is poor.

Disclosure of Invention

Accordingly, the present invention is directed to a method and a system for managing operation of an intelligent park, which can solve the problem of poor operation and management effects of the intelligent park in the prior art.

In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:

an operation management method for an intelligent park, comprising:

for each two park monitoring areas in a plurality of park monitoring areas included in an intelligent park belonging to a monitored object, performing area correlation determination processing on the two park monitoring areas according to two park monitoring videos corresponding to the two park monitoring areas so as to output area correlation values corresponding to the two park monitoring areas, wherein the area correlation values are used for representing the correlation degree between the two corresponding park monitoring areas, and the park monitoring videos comprise multi-frame park monitoring video frames;

According to the regional correlation values corresponding to each two campus monitoring regions in the plurality of campus monitoring regions, carrying out importance analysis processing on each campus monitoring region so as to output a regional importance representation value corresponding to each campus monitoring region;

for each of the plurality of campus monitoring areas, the corresponding campus monitoring video of the campus monitoring area is screened according to the corresponding regional importance representation value of the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area, and the target campus monitoring video is used as the basis for accident tracing of the corresponding campus monitoring area.

In some preferred embodiments, in the above method for operation management of a smart campus, the step of performing importance analysis processing on each of the campus monitoring areas according to the area correlation values corresponding to each of two of the plurality of campus monitoring areas to output the area importance representation value corresponding to each of the campus monitoring areas includes:

for each of the plurality of campus monitoring areas, performing area position determination processing on the campus monitoring area to output area position information corresponding to the campus monitoring area;

For each two park monitoring areas in the plurality of park monitoring areas, performing position distance calculation processing according to the area position information corresponding to the two park monitoring areas to output the area position distances corresponding to the two park monitoring areas, and performing area adjacency calculation processing according to the area position distances to output the area adjacencies corresponding to the two park monitoring areas;

for each two park monitoring areas in the plurality of park monitoring areas, carrying out data fusion processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas so as to output the area correlation coefficient corresponding to the two park monitoring areas;

and according to the regional correlation coefficient corresponding to each two of the park monitoring regions, carrying out importance analysis processing on each park monitoring region so as to output the regional importance representation value corresponding to each park monitoring region.

In some preferred embodiments, in the above method for operation management of a smart campus, the step of performing, for each two of the plurality of campus monitoring areas, data fusion processing on the area adjacencies corresponding to the two campus monitoring areas and the area correlation values corresponding to the two campus monitoring areas to output the area correlation coefficients corresponding to the two campus monitoring areas includes:

Respectively extracting weighting coefficients corresponding to the region adjacency and the region correlation value, wherein the weighting coefficient corresponding to the region adjacency is larger than the weighting coefficient corresponding to the region correlation value;

and for each two park monitoring areas in the plurality of park monitoring areas, carrying out weighted summation calculation processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas according to the weighted coefficient corresponding to the area adjacency and the weighted coefficient corresponding to the area correlation value so as to output the area correlation coefficient corresponding to the two park monitoring areas.

In some preferred embodiments, in the above method for operation management of a smart campus, the step of performing importance analysis processing on each of the campus monitoring areas according to the area correlation coefficient corresponding to each of two of the plurality of campus monitoring areas to output an area importance representation value corresponding to each of the campus monitoring areas includes:

for each of the plurality of campus monitoring areas, performing average value calculation processing on the area correlation coefficient corresponding to the campus monitoring area and each other campus monitoring area to output a correlation coefficient average value corresponding to the campus monitoring area;

For each of the plurality of campus monitoring areas, performing discrete value calculation processing on the area correlation coefficient corresponding to each other campus monitoring area in the campus monitoring area according to the average value of the correlation coefficient corresponding to the campus monitoring area so as to output the correlation coefficient discrete value corresponding to the campus monitoring area, and performing adjustment coefficient determination processing according to the correlation coefficient discrete value corresponding to the campus monitoring area so as to output the negative correlation adjustment coefficient corresponding to the campus monitoring area;

for each of the plurality of campus monitoring areas, performing product calculation processing on a correlation coefficient mean value corresponding to the campus monitoring area and an adjustment coefficient corresponding to the campus monitoring area to output a correlation coefficient adjustment value corresponding to the campus monitoring area;

and carrying out sum value calculation processing on the correlation coefficient adjustment value corresponding to each park monitoring area in the plurality of park monitoring areas so as to output the correlation coefficient and the correlation coefficient corresponding to the plurality of park monitoring areas, carrying out importance analysis processing on each park monitoring area according to the correlation coefficient adjustment value corresponding to the park monitoring area and the correlation coefficient and the correlation value in each park monitoring area so as to output the area importance representation value corresponding to the park monitoring area, wherein the area importance representation value and the correlation coefficient adjustment value have a positive correlation relationship, and the area importance representation value and the prime number correlation coefficient and the prime number correlation value have a negative correlation relationship.

In some preferred embodiments, in the above method for operation management of a smart campus, for each of the plurality of campus monitoring areas, the step of screening the campus monitoring video corresponding to the campus monitoring area according to the area importance characterizing value corresponding to the campus monitoring area to output the target campus monitoring video corresponding to the campus monitoring area includes:

for each of the plurality of campus monitoring areas, performing screening proportion determination processing according to the area importance characterization value corresponding to the campus monitoring area so as to output the video frame screening proportion corresponding to the campus monitoring area;

and for each of the plurality of campus monitoring areas, screening the corresponding campus monitoring video of the campus monitoring area according to the video frame screening proportion corresponding to the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area.

In some preferred embodiments, in the above method for operation management of a smart campus, for each of the plurality of campus monitoring areas, the step of screening the campus monitoring video corresponding to the campus monitoring area according to the video frame screening ratio corresponding to the campus monitoring area to output the target campus monitoring video corresponding to the campus monitoring area includes:

For each of the plurality of campus monitoring areas, performing video segment number determination processing according to an area importance characterization value corresponding to the campus monitoring area, so as to output a target video segment number corresponding to the campus monitoring area, wherein a negative correlation is formed between the target video segment number and the area importance characterization value;

for each of the plurality of campus monitoring areas, segment processing is performed on the corresponding campus monitoring video of the campus monitoring area according to the number of target video segments corresponding to the campus monitoring area, so as to output a plurality of corresponding number of campus monitoring video segments;

for each of the plurality of campus monitoring areas, according to the video frame screening proportion corresponding to the campus monitoring area, each of the plurality of campus monitoring video segments corresponding to the campus monitoring area is screened according to the video frame similarity between every two video frames of each of the plurality of campus monitoring video segments, so as to output the target campus monitoring video segment corresponding to each of the campus monitoring video segments, and the target campus monitoring video corresponding to the campus monitoring area is formed by splicing the target campus monitoring video segments.

In some preferred embodiments, in the above method for operation management of a smart campus, the step of performing, for each two campus monitoring areas of a plurality of campus monitoring areas included in the smart campus belonging to the monitored object, area correlation determination processing on the two campus monitoring areas according to two campus monitoring videos corresponding to the two campus monitoring areas to output area correlation values corresponding to the two campus monitoring areas includes:

for each pre-deployed park monitoring device, requesting to acquire the park monitoring video under the condition that the park monitoring device acquires the park monitoring video of the corresponding park monitoring area;

for each two park monitoring areas in a plurality of park monitoring areas included in an intelligent park belonging to a monitored object, performing video correlation calculation processing on two park monitoring videos corresponding to the two park monitoring areas according to multi-frame park monitoring video frames included in each park monitoring video so as to output video correlation values corresponding to the two park monitoring areas;

and for each two park monitoring areas in the plurality of park monitoring areas, carrying out area correlation determination processing on the two park monitoring areas according to the video correlation values corresponding to the two park monitoring areas so as to output the area correlation values corresponding to the two park monitoring areas.

The embodiment of the invention also provides an operation management system of the intelligent park, which comprises the following steps:

the regional relevance determining module is used for determining the regional relevance of each two park monitoring areas in a plurality of park monitoring areas included in a smart park belonging to a monitored object according to two park monitoring videos corresponding to the two park monitoring areas so as to output regional relevance values corresponding to the two park monitoring areas, wherein the regional relevance values are used for representing the relevance degree between the two corresponding park monitoring areas, and the park monitoring videos comprise multi-frame park monitoring video frames;

the importance analysis processing module is used for carrying out importance analysis processing on each park monitoring area according to the area correlation value corresponding to each two park monitoring areas in the plurality of park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area;

the monitoring video screening processing module is used for screening the park monitoring video corresponding to the park monitoring area according to the regional importance representation value corresponding to the park monitoring area for each of the plurality of park monitoring areas so as to output the target park monitoring video corresponding to the park monitoring area, wherein the target park monitoring video is used as the basis of accident tracing of the corresponding park monitoring area.

In some preferred embodiments, in the operation management system of the smart park, the importance analysis processing module is specifically configured to:

for each of the plurality of campus monitoring areas, performing area position determination processing on the campus monitoring area to output area position information corresponding to the campus monitoring area;

for each two park monitoring areas in the plurality of park monitoring areas, performing position distance calculation processing according to the area position information corresponding to the two park monitoring areas to output the area position distances corresponding to the two park monitoring areas, and performing area adjacency calculation processing according to the area position distances to output the area adjacencies corresponding to the two park monitoring areas;

for each two park monitoring areas in the plurality of park monitoring areas, carrying out data fusion processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas so as to output the area correlation coefficient corresponding to the two park monitoring areas;

and according to the regional correlation coefficient corresponding to each two of the park monitoring regions, carrying out importance analysis processing on each park monitoring region so as to output the regional importance representation value corresponding to each park monitoring region.

In some preferred embodiments, in the operation management system of the smart park, the surveillance video screening processing module is specifically configured to:

for each of the plurality of campus monitoring areas, performing screening proportion determination processing according to the area importance characterization value corresponding to the campus monitoring area so as to output the video frame screening proportion corresponding to the campus monitoring area;

and for each of the plurality of campus monitoring areas, screening the corresponding campus monitoring video of the campus monitoring area according to the video frame screening proportion corresponding to the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area.

According to the operation management method and the operation management system for the intelligent park provided by the embodiment of the invention, firstly, for two park monitoring areas, according to two park monitoring videos corresponding to the two park monitoring areas, area correlation determination processing is carried out on the two park monitoring areas so as to output area correlation values corresponding to the two park monitoring areas. And secondly, carrying out importance analysis processing on each park monitoring area according to the area correlation values corresponding to every two park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area. Then, for each park monitoring area, the park monitoring video corresponding to the park monitoring area is screened according to the area importance characterization value corresponding to the park monitoring area so as to output the corresponding target park monitoring video. That is, through carrying out screening processing based on the regional importance characterization value that the garden monitoring area corresponds, can improve the reliability of screening to improve the not good problem of operation management effect in the wisdom garden among the prior art.

In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

Fig. 1 is a block diagram of an intelligent park management server according to an embodiment of the present invention.

Fig. 2 is a flowchart illustrating steps involved in an operation management method for an intelligent park according to an embodiment of the present invention.

Fig. 3 is a schematic diagram of each module included in the operation management system of the intelligent park according to the embodiment of the invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

As shown in fig. 1, an embodiment of the present invention provides an intelligent campus management server. Wherein the smart campus management server may include a memory and a processor.

In detail, the memory and the processor are electrically connected directly or indirectly to realize transmission or interaction of data. For example, electrical connection may be made to each other via one or more communication buses or signal lines. The memory may store at least one software functional module (computer program) that may exist in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the operation management method for the intelligent park provided by the embodiment of the invention.

In detail, in some embodiments, the Memory may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like. The processor may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a System on Chip (SoC), etc.; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

With reference to fig. 2, an embodiment of the present invention further provides an operation management method for an intelligent park, which is applicable to the intelligent park management server. The method steps defined by the flow related to the operation management method of the intelligent park can be realized by the intelligent park management server.

The specific flow shown in fig. 2 will be described in detail.

Step S100, for each two campus monitoring areas among a plurality of campus monitoring areas included in the smart campus belonging to the monitored object, performing area correlation determination processing on the two campus monitoring areas according to the two campus monitoring videos corresponding to the two campus monitoring areas, so as to output area correlation values corresponding to the two campus monitoring areas.

In the embodiment of the present invention, the smart campus management server may perform the step S100: for every two of a plurality of park monitoring areas that belong to the wisdom park that monitors the object includes, according to two park monitoring videos that these two park monitoring areas correspond, carry out area correlation to these two park monitoring areas and confirm the processing to the area correlation value that these two park monitoring areas correspond. The regional correlation value is used for representing the correlation degree between two corresponding park monitoring regions, and the park monitoring video comprises multi-frame park monitoring video frames.

And step 200, according to the area correlation values corresponding to each two campus monitoring areas in the plurality of campus monitoring areas, carrying out importance analysis processing on each campus monitoring area so as to output an area importance representation value corresponding to each campus monitoring area.

In the embodiment of the present invention, the smart campus management server may perform the step S200: and according to the area correlation values corresponding to every two park monitoring areas in the plurality of park monitoring areas, carrying out importance analysis processing on each park monitoring area so as to output an area importance representation value corresponding to each park monitoring area.

Step S300, for each of the plurality of campus monitoring areas, screening the campus monitoring video corresponding to the campus monitoring area according to the regional importance characterization value corresponding to the campus monitoring area, so as to output the target campus monitoring video corresponding to the campus monitoring area.

In the embodiment of the present invention, the smart campus management server may perform the step S300: and screening the park monitoring video corresponding to the park monitoring area according to the regional importance characterization value corresponding to the park monitoring area for each of the plurality of park monitoring areas so as to output the target park monitoring video corresponding to the park monitoring area. And the target park monitoring video is used as the basis of accident tracing of the corresponding park monitoring area.

Based on the operation management method of the intelligent park, firstly, for two park monitoring areas, according to two park monitoring videos corresponding to the two park monitoring areas, area correlation determination processing is carried out on the two park monitoring areas so as to output area correlation values corresponding to the two park monitoring areas. And secondly, carrying out importance analysis processing on each park monitoring area according to the area correlation values corresponding to every two park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area. Then, for each park monitoring area, the park monitoring video corresponding to the park monitoring area is screened according to the area importance characterization value corresponding to the park monitoring area so as to output the corresponding target park monitoring video. That is, through carrying out screening processing based on the regional importance characterization value that the garden monitoring area corresponds, can improve the reliability of screening to improve the not good problem of operation management effect in the wisdom garden among the prior art.

In detail, in some embodiments, the step S100 may include contents described below, i.e., contents corresponding to the steps S110, S120 and S130.

Step S110, for each pre-deployed campus monitoring device, requesting to acquire the campus monitoring video in the case that the campus monitoring device acquires the campus monitoring video of the corresponding campus monitoring area.

In the embodiment of the present invention, the smart campus management server may perform the step S110: for each of the campus monitoring devices deployed in advance, requesting to acquire the campus monitoring video in the case that the campus monitoring device acquires the campus monitoring video of the corresponding campus monitoring area. The campus monitoring video includes a plurality of campus monitoring video frames.

Step S120, for each two campus monitoring areas among the plurality of campus monitoring areas included in the smart campus belonging to the monitored object, performing video correlation calculation processing on two campus monitoring videos corresponding to the two campus monitoring areas according to the multi-frame campus monitoring video frames included in each of the campus monitoring videos, so as to output video correlation values corresponding to the two campus monitoring areas.

In the embodiment of the present invention, the smart campus management server may perform the step S120: for every two campus monitoring areas among a plurality of campus monitoring areas included in an intelligent campus belonging to a monitored object, video correlation calculation processing is carried out on two campus monitoring videos corresponding to the two campus monitoring areas according to multi-frame campus monitoring video frames included in each of the campus monitoring videos, so as to output video correlation values corresponding to the two campus monitoring areas.

Step S130, for each two campus monitoring areas in the plurality of campus monitoring areas, performing area correlation determination processing on the two campus monitoring areas according to the video correlation values corresponding to the two campus monitoring areas, so as to output the area correlation values corresponding to the two campus monitoring areas.

In the embodiment of the present invention, the smart campus management server may perform the step S130: and for each two park monitoring areas in the plurality of park monitoring areas, carrying out area correlation determination processing on the two park monitoring areas according to the video correlation values corresponding to the two park monitoring areas so as to output the area correlation values corresponding to the two park monitoring areas. The zone correlation value is used to characterize the degree of correlation between the corresponding two campus monitoring zones.

Based on step S110, step S120 and step S130, first, for each campus monitoring device, in the case where the campus monitoring device collects a campus monitoring video of a corresponding campus monitoring area, the campus monitoring device requests to obtain the campus monitoring video. Then, for every two park monitoring areas, according to the multi-frame park monitoring video frames included in each park monitoring video, video correlation calculation processing is carried out on the two park monitoring videos corresponding to the two park monitoring areas so as to output corresponding video correlation values. And then, for each two park monitoring areas, carrying out area correlation determination processing on the two park monitoring areas according to the video correlation values corresponding to the two park monitoring areas so as to output corresponding area correlation values. Thus, compared with the conventional technical scheme for determining the area correlation based on the experience of the staff, the reliability of the determined area correlation can be improved, and the problem that the reliability of the determined area correlation in the existing intelligent park management technology is not high is solved.

In detail, in some embodiments, step S110 may include the following:

for each pre-deployed campus monitoring device, determining whether the campus monitoring device collects a campus monitoring video of a corresponding campus monitoring area according to a pre-configured discrimination mechanism;

for each of the campus monitoring devices deployed in advance, requesting to acquire the campus monitoring video in the case that the campus monitoring device acquires the campus monitoring video of the corresponding campus monitoring area.

In detail, in some embodiments, the step of determining, for each pre-deployed campus monitoring device, whether the campus monitoring device collects a campus monitoring video of a corresponding campus monitoring area according to a pre-configured discrimination mechanism may include the following descriptions:

extracting the video extraction history time of the corresponding history park monitoring video acquired from the park monitoring device for each pre-deployed park monitoring device;

and for each pre-deployed park monitoring device, performing video acquisition and complete determination processing according to the video extraction historical time and the current time corresponding to the park monitoring device so as to output the result of whether the park monitoring device acquires the park monitoring video of the corresponding park monitoring area, wherein the park monitoring device does not acquire the park monitoring video of the corresponding park monitoring area under the condition that the interval between the video extraction historical time and the current time is smaller than the preset duration, and the park monitoring device acquires the park monitoring video of the corresponding park monitoring area under the condition that the interval between the video extraction historical time and the current time is greater than or equal to the preset duration.

In detail, in some embodiments, for each pre-deployed campus monitoring device, in the case that the campus monitoring device collects a campus monitoring video of a corresponding campus monitoring area, the step of requesting to obtain the campus monitoring video may include the following descriptions:

for each pre-deployed park monitoring device, under the condition that the park monitoring device collects the park monitoring video of the corresponding park monitoring area, extracting a historical area correlation value which is output by carrying out area correlation determination processing on each two park monitoring areas corresponding to the park monitoring device and each other park monitoring device in the last time, and carrying out average value calculation processing according to the historical area correlation value to output a historical area correlation average value corresponding to the park monitoring device;

for each pre-deployed park monitoring device, carrying out acquisition parameter determination processing according to a historical region related mean value corresponding to the park monitoring device so as to output a target acquisition parameter corresponding to the park monitoring device, wherein the target acquisition parameter comprises image resolution (the image resolution can have a positive correlation with the historical region related mean value);

And for each pre-deployed park monitoring device, carrying out request instruction generation processing according to the target acquisition parameters corresponding to the park monitoring device so as to output the target request instructions corresponding to the park monitoring device and transmit the target request instructions to the park monitoring device, wherein the park monitoring device is used for feeding back the acquired park monitoring video of the corresponding park monitoring area according to the target request instructions and continuously carrying out acquisition of the monitoring video according to the target acquisition parameters.

In detail, in some embodiments, step S120 may include the following:

for each of a plurality of park monitoring areas included in an intelligent park belonging to a monitoring object, performing video frame determination processing on park monitoring video frames included in park monitoring video corresponding to the park monitoring area to output park monitoring video frames with the number being a preset number, and configuring the park monitoring video frames as representative park monitoring video frames corresponding to the park monitoring area;

and for each two park monitoring areas in the plurality of park monitoring areas, video correlation calculation processing is carried out on the two park monitoring areas according to the multi-frame representative park monitoring video frames corresponding to each park monitoring area so as to output video correlation values corresponding to the two park monitoring areas.

In detail, in some embodiments, for each of a plurality of campus monitoring areas included in a smart campus belonging to a monitored object, performing video frame determination processing on a campus monitoring video frame included in a campus monitoring video corresponding to the campus monitoring area to output a preset number of campus monitoring video frames, and configuring the campus monitoring video frame as a representative campus monitoring video frame corresponding to the campus monitoring area may include the following descriptions:

for each of a plurality of park monitoring areas included in an intelligent park belonging to a monitoring object, clustering multiple frames of park monitoring video frames included in park monitoring video corresponding to the park monitoring area based on a preset number to output a plurality of video frame clustering sets corresponding to the park monitoring area, wherein the number of the video frame clustering sets is the preset number;

for each of the plurality of campus monitoring areas, performing similarity calculation processing on every two video frames of the campus monitoring video corresponding to the campus monitoring area, so as to output video frame similarity between every two video frames of the campus monitoring video;

For each frame of park monitoring video frame included in the park monitoring video corresponding to each of the plurality of park monitoring areas, calculating the average value of video frame similarity between the park monitoring video frame and other park monitoring video frames of each frame in the video frame cluster set to which the park monitoring video frame belongs, so as to output a first similarity average value corresponding to the park monitoring video frame;

for each frame of park monitoring video frame included in the park monitoring video corresponding to each of the plurality of park monitoring areas, calculating the average value of video frame similarity between the park monitoring video frame and other park monitoring video frames of each frame in the video frame cluster set to which the park monitoring video frame belongs in the park monitoring video corresponding to the park monitoring area, so as to output a second similarity average value corresponding to the park monitoring video frame;

for each frame of park monitoring video frame included in the park monitoring video corresponding to each park monitoring area in the plurality of park monitoring areas, performing important coefficient determination processing according to a first similarity mean value corresponding to the park monitoring video frame to output a first important coefficient of positive correlation corresponding to the park monitoring video frame, performing important coefficient determination processing according to a second similarity mean value corresponding to the park monitoring video frame to output a second important coefficient of negative correlation corresponding to the park monitoring video frame, and performing weighted summation calculation processing on the first important coefficient and the second important coefficient to output an important coefficient weighted summation value corresponding to the park monitoring video frame;

And for each park monitoring area in the plurality of park monitoring areas, screening out a frame of park monitoring video frame with the maximum value of the corresponding important coefficient weighted sum value from each video frame cluster set in a plurality of video frame cluster sets corresponding to the park monitoring area so as to output multi-frame representative park monitoring video frames corresponding to the park monitoring area.

In detail, in some embodiments, the step of performing video correlation calculation processing on each two campus monitoring areas according to the multi-frame representative campus monitoring video frame corresponding to each of the plurality of campus monitoring areas to output video correlation values corresponding to the two campus monitoring areas may include the following descriptions:

respectively configuring the multi-frame representative park monitoring video frames corresponding to the two park monitoring areas to configure the multi-frame representative park monitoring video frame corresponding to one park monitoring area as a first representative park monitoring video frame, and configure the multi-frame representative park monitoring video frame corresponding to the other park monitoring area as a second representative park monitoring video frame;

The method comprises the steps of carrying out average value calculation on pixel values of each pixel position corresponding to multiple frames of first-representation park monitoring video frames to realize fusion of the multiple frames of first-representation park monitoring video frames so as to output first fusion monitoring video frames corresponding to the multiple frames of first-representation park monitoring video frames, respectively carrying out absolute difference value accumulation calculation on pixel values of each pixel position corresponding to the multiple frames of first-representation park monitoring video frames so as to output first absolute difference accumulation sum values corresponding to each pixel position, and respectively determining a positively-correlated first tag value according to the first absolute difference accumulation sum values corresponding to each pixel position;

the method comprises the steps of carrying out average value calculation on pixel values of each pixel position corresponding to among multi-frame second representative park monitoring video frames to realize fusion of the multi-frame second representative park monitoring video frames so as to output second fusion monitoring video frames corresponding to the multi-frame second representative park monitoring video frames, respectively carrying out absolute difference value accumulation calculation on pixel values of each pixel position corresponding to among the multi-frame second representative park monitoring video frames so as to output second absolute difference accumulation sum values corresponding to each pixel position, and respectively determining a positively-correlated second tag value according to the second absolute difference accumulation sum values corresponding to each pixel position;

For each pixel position, performing difference calculation on a pixel value of the pixel position in the first fusion monitoring video frame and a pixel value of the pixel position in the second fusion monitoring video frame to output a first pixel difference value corresponding to the pixel position, and performing difference calculation on a first label value corresponding to the pixel position and a second label value corresponding to the pixel position to output a first label difference value corresponding to the pixel position;

for each pixel position, determining a first similarity coefficient of negative correlation according to a first pixel difference value corresponding to the pixel position, determining a second similarity coefficient of negative correlation according to a first label difference value corresponding to the pixel position, and performing weighted summation calculation on the first similarity coefficient and the second similarity coefficient to output a weighted similarity coefficient corresponding to the pixel position;

and carrying out weighted summation calculation on the weighted similarity coefficient corresponding to each pixel position between the first fused monitoring video frame and the second fused monitoring video frame so as to output video correlation values corresponding to the two park monitoring areas.

In detail, in some embodiments, step S130 may include the following:

For each two park monitoring areas in the plurality of park monitoring areas, carrying out positive correlation coefficient determination processing according to video correlation values corresponding to the two park monitoring areas so as to output park positive correlation coefficients corresponding to the two park monitoring areas;

for each two campus monitoring areas of the plurality of campus monitoring areas, performing area correlation determination processing on the two campus monitoring areas according to the positive correlation coefficients of the two campus monitoring areas to output area correlation values corresponding to the two campus monitoring areas (for example, the positive correlation coefficients of the two campus monitoring areas may be used as the area correlation values, or fusion processing may be performed according to the positive correlation coefficients of the two campus monitoring areas and other correlation parameters, such as experience values, to obtain corresponding area correlation values).

In detail, in some embodiments, step S200 may include the following:

for each of the plurality of campus monitoring areas, performing area position determination processing on the campus monitoring area to output area position information corresponding to the campus monitoring area;

for each two park monitoring areas in the plurality of park monitoring areas, performing position distance calculation processing according to the area position information corresponding to the two park monitoring areas to output the area position distances corresponding to the two park monitoring areas, and performing area adjacency calculation processing according to the area position distances to output the area adjacencies corresponding to the two park monitoring areas;

For each two park monitoring areas in the plurality of park monitoring areas, carrying out data fusion processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas so as to output the area correlation coefficient corresponding to the two park monitoring areas;

and according to the regional correlation coefficient corresponding to each two of the park monitoring regions, carrying out importance analysis processing on each park monitoring region so as to output the regional importance representation value corresponding to each park monitoring region.

In detail, in some embodiments, the step of performing, for each two campus monitoring areas in the plurality of campus monitoring areas, a data fusion process on the area adjacency corresponding to the two campus monitoring areas and the area correlation value corresponding to the two campus monitoring areas to output the area correlation coefficients corresponding to the two campus monitoring areas may include the following descriptions:

respectively extracting weighting coefficients corresponding to the region adjacency and the region correlation value, wherein the weighting coefficient corresponding to the region adjacency is larger than the weighting coefficient corresponding to the region correlation value;

And for each two park monitoring areas in the plurality of park monitoring areas, carrying out weighted summation calculation processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas according to the weighted coefficient corresponding to the area adjacency and the weighted coefficient corresponding to the area correlation value so as to output the area correlation coefficient corresponding to the two park monitoring areas.

In detail, in some embodiments, the step of performing importance analysis processing on each of the campus monitoring areas according to the area correlation coefficients corresponding to each two of the plurality of campus monitoring areas to output the area importance representation value corresponding to each of the campus monitoring areas may include the following descriptions:

for each of the plurality of campus monitoring areas, performing average value calculation processing on the area correlation coefficient corresponding to the campus monitoring area and each other campus monitoring area to output a correlation coefficient average value corresponding to the campus monitoring area;

for each of the plurality of campus monitoring areas, performing discrete value calculation processing on the area correlation coefficient corresponding to each other campus monitoring area in the campus monitoring area according to the average value of the correlation coefficient corresponding to the campus monitoring area so as to output the correlation coefficient discrete value corresponding to the campus monitoring area, and performing adjustment coefficient determination processing according to the correlation coefficient discrete value corresponding to the campus monitoring area so as to output the negative correlation adjustment coefficient corresponding to the campus monitoring area;

For each of the plurality of campus monitoring areas, performing product calculation processing on a correlation coefficient mean value corresponding to the campus monitoring area and an adjustment coefficient corresponding to the campus monitoring area to output a correlation coefficient adjustment value corresponding to the campus monitoring area;

and carrying out sum value calculation processing on the correlation coefficient adjustment value corresponding to each park monitoring area in the plurality of park monitoring areas so as to output the correlation coefficient and the correlation coefficient corresponding to the plurality of park monitoring areas, carrying out importance analysis processing on each park monitoring area according to the correlation coefficient adjustment value corresponding to the park monitoring area and the correlation coefficient and the correlation value in each park monitoring area so as to output the area importance representation value corresponding to the park monitoring area, wherein the area importance representation value and the correlation coefficient adjustment value have a positive correlation relationship, and the area importance representation value and the prime number correlation coefficient and the prime number correlation value have a negative correlation relationship.

In detail, in some embodiments, step S300 may include the following:

for each of the plurality of campus monitoring areas, performing screening proportion determination processing according to the area importance characterization value corresponding to the campus monitoring area, so as to output a (positively correlated) video frame screening proportion corresponding to the campus monitoring area;

And for each of the plurality of campus monitoring areas, screening the corresponding campus monitoring video of the campus monitoring area according to the video frame screening proportion corresponding to the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area.

In detail, in some embodiments, for each of the plurality of campus monitoring areas, the step of screening, according to the video frame screening proportion corresponding to the campus monitoring area, the campus monitoring video corresponding to the campus monitoring area to output the target campus monitoring video corresponding to the campus monitoring area may include the following descriptions:

for each of the plurality of campus monitoring areas, performing video segment number determination processing according to an area importance characterization value corresponding to the campus monitoring area, so as to output a target video segment number corresponding to the campus monitoring area, wherein a negative correlation is formed between the target video segment number and the area importance characterization value;

for each of the plurality of campus monitoring areas, segment processing is performed on the corresponding campus monitoring video of the campus monitoring area according to the number of target video segments corresponding to the campus monitoring area, so as to output a plurality of corresponding number of campus monitoring video segments;

For each of the plurality of campus monitoring areas, according to the video frame screening proportion corresponding to the campus monitoring area, each of the plurality of campus monitoring video segments corresponding to the campus monitoring area is screened according to the video frame similarity between every two of the plurality of campus monitoring video frames, so as to screen out the campus monitoring video segment (for example, the campus monitoring video frame with the largest average value of the video frame similarity between other campus monitoring video frames can be screened out, and the screened out proportion should be smaller than the corresponding video frame screening proportion), so as to output the target campus monitoring video segment corresponding to each of the campus monitoring video segments, and the target campus monitoring video corresponding to the campus monitoring area is formed by splicing the target campus monitoring video segments.

With reference to fig. 3, an embodiment of the present invention further provides an operation management system for an intelligent park, which is applicable to the intelligent park management server. Wherein, the operation management system may include:

the regional relevance determining module is used for determining the regional relevance of each two park monitoring areas in a plurality of park monitoring areas included in a smart park belonging to a monitored object according to two park monitoring videos corresponding to the two park monitoring areas so as to output regional relevance values corresponding to the two park monitoring areas, wherein the regional relevance values are used for representing the relevance degree between the two corresponding park monitoring areas, and the park monitoring videos comprise multi-frame park monitoring video frames;

The importance analysis processing module is used for carrying out importance analysis processing on each park monitoring area according to the area correlation value corresponding to each two park monitoring areas in the plurality of park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area;

the monitoring video screening processing module is used for screening the park monitoring video corresponding to the park monitoring area according to the regional importance representation value corresponding to the park monitoring area for each of the plurality of park monitoring areas so as to output the target park monitoring video corresponding to the park monitoring area, wherein the target park monitoring video is used as the basis of accident tracing of the corresponding park monitoring area.

In detail, in some embodiments, the importance analysis processing module is specifically configured to:

for each of the plurality of campus monitoring areas, performing area position determination processing on the campus monitoring area to output area position information corresponding to the campus monitoring area;

for each two park monitoring areas in the plurality of park monitoring areas, performing position distance calculation processing according to the area position information corresponding to the two park monitoring areas to output the area position distances corresponding to the two park monitoring areas, and performing area adjacency calculation processing according to the area position distances to output the area adjacencies corresponding to the two park monitoring areas;

For each two park monitoring areas in the plurality of park monitoring areas, carrying out data fusion processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas so as to output the area correlation coefficient corresponding to the two park monitoring areas;

and according to the regional correlation coefficient corresponding to each two of the park monitoring regions, carrying out importance analysis processing on each park monitoring region so as to output the regional importance representation value corresponding to each park monitoring region.

In detail, in some embodiments, the surveillance video filtering processing module is specifically configured to:

for each of the plurality of campus monitoring areas, performing screening proportion determination processing according to the area importance characterization value corresponding to the campus monitoring area so as to output the video frame screening proportion corresponding to the campus monitoring area;

and for each of the plurality of campus monitoring areas, screening the corresponding campus monitoring video of the campus monitoring area according to the video frame screening proportion corresponding to the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area.

In summary, according to the operation management method and system for the intelligent park provided by the invention, first, for two park monitoring areas, according to two park monitoring videos corresponding to the two park monitoring areas, area correlation determination processing is performed on the two park monitoring areas, so as to output area correlation values corresponding to the two park monitoring areas. And secondly, carrying out importance analysis processing on each park monitoring area according to the area correlation values corresponding to every two park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area. Then, for each park monitoring area, the park monitoring video corresponding to the park monitoring area is screened according to the area importance characterization value corresponding to the park monitoring area so as to output the corresponding target park monitoring video. That is, through carrying out screening processing based on the regional importance characterization value that the garden monitoring area corresponds, can improve the reliability of screening to improve the not good problem of operation management effect in the wisdom garden among the prior art.

The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An operation management method for an intelligent park, comprising:

for each two park monitoring areas in a plurality of park monitoring areas included in an intelligent park belonging to a monitored object, performing area correlation determination processing on the two park monitoring areas according to two park monitoring videos corresponding to the two park monitoring areas so as to output area correlation values corresponding to the two park monitoring areas, wherein the area correlation values are used for representing the correlation degree between the two corresponding park monitoring areas, and the park monitoring videos comprise multi-frame park monitoring video frames;

according to the regional correlation values corresponding to each two campus monitoring regions in the plurality of campus monitoring regions, carrying out importance analysis processing on each campus monitoring region so as to output a regional importance representation value corresponding to each campus monitoring region;

for each of the plurality of campus monitoring areas, the corresponding campus monitoring video of the campus monitoring area is screened according to the corresponding regional importance representation value of the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area, and the target campus monitoring video is used as the basis for accident tracing of the corresponding campus monitoring area.

2. The method of claim 1, wherein the step of performing importance analysis processing on each of the campus monitoring areas according to the area correlation values corresponding to each of the two of the plurality of campus monitoring areas to output the area importance characterization value corresponding to each of the campus monitoring areas comprises:

for each of the plurality of campus monitoring areas, performing area position determination processing on the campus monitoring area to output area position information corresponding to the campus monitoring area;

for each two park monitoring areas in the plurality of park monitoring areas, performing position distance calculation processing according to the area position information corresponding to the two park monitoring areas to output the area position distances corresponding to the two park monitoring areas, and performing area adjacency calculation processing according to the area position distances to output the area adjacencies corresponding to the two park monitoring areas;

for each two park monitoring areas in the plurality of park monitoring areas, carrying out data fusion processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas so as to output the area correlation coefficient corresponding to the two park monitoring areas;

And according to the regional correlation coefficient corresponding to each two of the park monitoring regions, carrying out importance analysis processing on each park monitoring region so as to output the regional importance representation value corresponding to each park monitoring region.

3. The method for operation management of intelligent parks according to claim 2, wherein the step of performing data fusion processing on the regional adjacency corresponding to the two park monitoring regions and the regional correlation value corresponding to the two park monitoring regions for each two park monitoring regions in the plurality of park monitoring regions to output the regional correlation coefficients corresponding to the two park monitoring regions comprises:

respectively extracting weighting coefficients corresponding to the region adjacency and the region correlation value, wherein the weighting coefficient corresponding to the region adjacency is larger than the weighting coefficient corresponding to the region correlation value;

and for each two park monitoring areas in the plurality of park monitoring areas, carrying out weighted summation calculation processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas according to the weighted coefficient corresponding to the area adjacency and the weighted coefficient corresponding to the area correlation value so as to output the area correlation coefficient corresponding to the two park monitoring areas.

4. The method for operation management of intelligent parks according to claim 2, wherein the step of performing importance analysis processing on each of the monitored areas according to the area correlation coefficient corresponding to each of the two monitored areas in the plurality of monitored areas to output the area importance characterization value corresponding to each of the monitored areas comprises:

for each of the plurality of campus monitoring areas, performing average value calculation processing on the area correlation coefficient corresponding to the campus monitoring area and each other campus monitoring area to output a correlation coefficient average value corresponding to the campus monitoring area;

for each of the plurality of campus monitoring areas, performing discrete value calculation processing on the area correlation coefficient corresponding to each other campus monitoring area in the campus monitoring area according to the average value of the correlation coefficient corresponding to the campus monitoring area so as to output the correlation coefficient discrete value corresponding to the campus monitoring area, and performing adjustment coefficient determination processing according to the correlation coefficient discrete value corresponding to the campus monitoring area so as to output the negative correlation adjustment coefficient corresponding to the campus monitoring area;

For each of the plurality of campus monitoring areas, performing product calculation processing on a correlation coefficient mean value corresponding to the campus monitoring area and an adjustment coefficient corresponding to the campus monitoring area to output a correlation coefficient adjustment value corresponding to the campus monitoring area;

and carrying out sum value calculation processing on the correlation coefficient adjustment value corresponding to each park monitoring area in the plurality of park monitoring areas so as to output the correlation coefficient and the correlation coefficient corresponding to the plurality of park monitoring areas, carrying out importance analysis processing on each park monitoring area according to the correlation coefficient adjustment value corresponding to the park monitoring area and the correlation coefficient and the correlation value in each park monitoring area so as to output the area importance representation value corresponding to the park monitoring area, wherein the area importance representation value and the correlation coefficient adjustment value have a positive correlation relationship, and the area importance representation value and the prime number correlation coefficient and the prime number correlation value have a negative correlation relationship.

5. The method for operation management of an intelligent campus as claimed in claim 1, wherein for each of the plurality of campus monitoring areas, the step of screening the campus monitoring video corresponding to the campus monitoring area according to the area importance characterization value corresponding to the campus monitoring area to output the target campus monitoring video corresponding to the campus monitoring area includes:

For each of the plurality of campus monitoring areas, performing screening proportion determination processing according to the area importance characterization value corresponding to the campus monitoring area so as to output the video frame screening proportion corresponding to the campus monitoring area;

and for each of the plurality of campus monitoring areas, screening the corresponding campus monitoring video of the campus monitoring area according to the video frame screening proportion corresponding to the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area.

6. The method for operation management of intelligent campus as claimed in claim 5, wherein for each of the plurality of campus monitoring areas, the step of screening the campus monitoring video corresponding to the campus monitoring area according to the video frame screening ratio corresponding to the campus monitoring area to output the target campus monitoring video corresponding to the campus monitoring area comprises:

for each of the plurality of campus monitoring areas, performing video segment number determination processing according to an area importance characterization value corresponding to the campus monitoring area, so as to output a target video segment number corresponding to the campus monitoring area, wherein a negative correlation is formed between the target video segment number and the area importance characterization value;

For each of the plurality of campus monitoring areas, segment processing is performed on the corresponding campus monitoring video of the campus monitoring area according to the number of target video segments corresponding to the campus monitoring area, so as to output a plurality of corresponding number of campus monitoring video segments;

for each of the plurality of campus monitoring areas, according to the video frame screening proportion corresponding to the campus monitoring area, each of the plurality of campus monitoring video segments corresponding to the campus monitoring area is screened according to the video frame similarity between every two video frames of each of the plurality of campus monitoring video segments, so as to output the target campus monitoring video segment corresponding to each of the campus monitoring video segments, and the target campus monitoring video corresponding to the campus monitoring area is formed by splicing the target campus monitoring video segments.

7. The operation management method for a smart campus according to any one of claims 1 to 6, wherein the step of performing the area correlation determination process on the two campus monitoring areas according to the two campus monitoring videos corresponding to the two campus monitoring areas for each two of the plurality of campus monitoring areas included in the smart campus belonging to the monitored object to output the area correlation values corresponding to the two campus monitoring areas includes:

For each pre-deployed park monitoring device, requesting to acquire the park monitoring video under the condition that the park monitoring device acquires the park monitoring video of the corresponding park monitoring area;

for each two park monitoring areas in a plurality of park monitoring areas included in an intelligent park belonging to a monitored object, performing video correlation calculation processing on two park monitoring videos corresponding to the two park monitoring areas according to multi-frame park monitoring video frames included in each park monitoring video so as to output video correlation values corresponding to the two park monitoring areas;

and for each two park monitoring areas in the plurality of park monitoring areas, carrying out area correlation determination processing on the two park monitoring areas according to the video correlation values corresponding to the two park monitoring areas so as to output the area correlation values corresponding to the two park monitoring areas.

8. An operation management system for an intelligent park, comprising:

the regional relevance determining module is used for determining the regional relevance of each two park monitoring areas in a plurality of park monitoring areas included in a smart park belonging to a monitored object according to two park monitoring videos corresponding to the two park monitoring areas so as to output regional relevance values corresponding to the two park monitoring areas, wherein the regional relevance values are used for representing the relevance degree between the two corresponding park monitoring areas, and the park monitoring videos comprise multi-frame park monitoring video frames;

The importance analysis processing module is used for carrying out importance analysis processing on each park monitoring area according to the area correlation value corresponding to each two park monitoring areas in the plurality of park monitoring areas so as to output the area importance representation value corresponding to each park monitoring area;

the monitoring video screening processing module is used for screening the park monitoring video corresponding to the park monitoring area according to the regional importance representation value corresponding to the park monitoring area for each of the plurality of park monitoring areas so as to output the target park monitoring video corresponding to the park monitoring area, wherein the target park monitoring video is used as the basis of accident tracing of the corresponding park monitoring area.

9. The system for operation management of an intelligent campus of claim 8, wherein the importance analysis processing module is specifically configured to:

for each of the plurality of campus monitoring areas, performing area position determination processing on the campus monitoring area to output area position information corresponding to the campus monitoring area;

for each two park monitoring areas in the plurality of park monitoring areas, performing position distance calculation processing according to the area position information corresponding to the two park monitoring areas to output the area position distances corresponding to the two park monitoring areas, and performing area adjacency calculation processing according to the area position distances to output the area adjacencies corresponding to the two park monitoring areas;

For each two park monitoring areas in the plurality of park monitoring areas, carrying out data fusion processing on the area adjacency corresponding to the two park monitoring areas and the area correlation value corresponding to the two park monitoring areas so as to output the area correlation coefficient corresponding to the two park monitoring areas;

and according to the regional correlation coefficient corresponding to each two of the park monitoring regions, carrying out importance analysis processing on each park monitoring region so as to output the regional importance representation value corresponding to each park monitoring region.

10. The system for operation management of an intelligent campus of claim 8, wherein the surveillance video screening processing module is specifically configured to:

for each of the plurality of campus monitoring areas, performing screening proportion determination processing according to the area importance characterization value corresponding to the campus monitoring area so as to output the video frame screening proportion corresponding to the campus monitoring area;

and for each of the plurality of campus monitoring areas, screening the corresponding campus monitoring video of the campus monitoring area according to the video frame screening proportion corresponding to the campus monitoring area so as to output the corresponding target campus monitoring video of the campus monitoring area.