CN117528028A - Security video monitoring system based on Internet of things - Google Patents
Security video monitoring system based on Internet of things Download PDFInfo
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- CN117528028A CN117528028A CN202311474743.8A CN202311474743A CN117528028A CN 117528028 A CN117528028 A CN 117528028A CN 202311474743 A CN202311474743 A CN 202311474743A CN 117528028 A CN117528028 A CN 117528028A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 129
- 238000012163 sequencing technique Methods 0.000 claims abstract description 27
- 230000002159 abnormal effect Effects 0.000 claims description 144
- 238000001514 detection method Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 5
- 238000000926 separation method Methods 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/268—Signal distribution or switching
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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Abstract
The invention discloses a security video monitoring system based on the Internet of things, which relates to the technical field of security monitoring, and discloses a video monitoring module, a monitoring sequencing module and a video storage module.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to a security video monitoring system based on the Internet of things.
Background
The security video monitoring system is an independent and complete system which is formed by transmitting video signals in a closed loop through optical fibers, coaxial cables or microwaves and from shooting to image display and recording. The system can reflect the monitored object in real time, image and reality, greatly prolongs the observation distance of human eyes, expands the functions of the human eyes, can replace manpower to monitor for a long time in a severe environment, and enables people to see all the situations actually happening on the monitored site and record the situations through a video recorder.
The current security video monitoring system collects videos of security positions through video monitoring, and security monitoring personnel observe the collected videos in real time. However, security monitoring personnel often need to view videos of a plurality of security positions at the same time, so that the security personnel easily cannot pay attention to the videos needing to pay attention to. And the current security video monitoring system stores corresponding videos for a period of time after shooting videos at security positions, the current security video monitoring system stores videos at each security position in a default storage time length, security monitoring personnel are required to prune the corresponding videos according to requirements, and therefore the monitoring videos at partial security positions occupy system memory.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a security video monitoring system based on the Internet of things.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a security video monitoring system based on the Internet of things comprises a video monitoring module, a monitoring ordering module and a video storage module;
the video monitoring module is used for collecting video monitoring data of different security areas, generating security abnormal records, and sending the security abnormal records to the server for storage through the Internet of things;
the monitoring and sorting module is used for sorting the monitoring videos of the system display terminal interface according to the security abnormal records of the security abnormal positions, and specifically comprises the following steps:
the method comprises the steps of obtaining security abnormal positions corresponding to security abnormal records, marking the security abnormal records of the same security abnormal positions as parity security abnormal records, calculating time difference values of abnormal end time and abnormal start time of each parity security abnormal record, obtaining security abnormal time length, summing and averaging the security abnormal time lengths of all parity security abnormal records, obtaining average security abnormal time length, and marking the average security abnormal time length as Fs;
sequencing all the parity safety records according to the time sequence of the abnormal starting time and the abnormal ending time to obtain a plurality of parity safety intervals I d, setting each parity safety interval to correspond to one standard safety interval, marking the parity safety interval as a low standard safety interval when the parity safety interval is smaller than the standard safety interval, obtaining a low standard safety value Sg, marking the parity safety interval as a high standard safety interval when the parity safety interval is larger than or equal to the standard safety interval, and obtaining a high standard safety value Zh;
the method comprises the steps of obtaining a monitoring sequencing value Pr, sequencing all security abnormal positions in sequence according to the value of the monitoring sequencing value Pr from large to small, and sequentially displaying monitoring videos corresponding to the sequenced security abnormal positions on a system display terminal interface;
the video storage module is used for adjusting the storage duration of the monitoring video corresponding to the security position, and specifically comprises the following steps:
detecting the ordering sequence of the monitoring video on the interface of the system display terminal on the basis of a fixed time interval, obtaining the ordering sequence of the monitoring video, marking the monitoring video at the same security position as a parity monitoring video, obtaining all ordering ranks of the parity monitoring video p days before the current time of the system, setting a front standard rank and a rear standard rank, marking the parity monitoring video as a front video when the ordering sequence of the parity monitoring video is before the front standard rank, obtaining a video front rank value Eq, marking the parity monitoring video as a rear video when the ordering sequence of the monitoring video is after the rear standard rank, and obtaining a video rear rank value Fv;
obtaining a video storage value Nk, setting a video storage high value and a video storage low value, when the video storage value Nk is more than or equal to the video storage high value, upwardly adjusting the storage duration of the monitoring video corresponding to the security position, when the video storage low value Nk is less than or equal to the video storage high value, not processing, and when the security preset value Ty is less than the security preset low value Lm, downwardly adjusting the storage duration of the monitoring video corresponding to the security position.
Further, the security abnormal record comprises a security abnormal position, an abnormal starting time and an abnormal ending time.
Further, the security abnormal record is obtained through the following steps: the video monitoring data are converted into image frames, the image frames obtained through conversion are sequentially ordered according to time sequence, the image frames are sequentially ordered according to time sequence to serve as input data of a security detection model, an image tag of output data of the security detection model is obtained, the image tag of the output data of the security detection model is marked with a security value, a security value threshold value is set as Ay, when the security value of a first image frame after the ordering is greater than or equal to the security value threshold value Ay, the image frame is marked with an abnormal starting frame, the time corresponding to the abnormal starting frame is marked with an abnormal starting time, when the security value of the first image frame after the abnormal starting frame is less than the security value threshold value Ay, the image frame is marked with an abnormal ending frame, and the time corresponding to the abnormal ending frame is marked with an abnormal ending time.
Further, the parity interval I d is obtained by the following steps: the abnormal start time of the adjacent and preceding parity record after the sequence is marked as Tk, the abnormal end time of the adjacent and preceding parity record after the sequence is marked as Ez, the abnormal start time of the adjacent and following parity record after the sequence is marked as Tq, the abnormal end time of the adjacent and following parity record after the sequence is marked as Ef, and the formula is utilizedThe parity safety interval I d is obtained,where a1 is an abnormal start interval coefficient and a2 is an abnormal end interval coefficient.
Further, the low standard deviation value Sg is obtained by the following steps: calculating the difference between the standard safety interval and the low standard safety interval to obtain low standard safety difference, marking F i, setting Jp as the low standard safety difference coefficient, and using the formulaObtaining total low-standard safety difference Ws, wherein i is the total number of the identical safety intervals marked as low-standard safety intervals, sequencing abnormal starting moments corresponding to the low-standard safety intervals according to time sequence, calculating the difference value of the abnormal starting moments corresponding to two adjacent low-standard safety intervals to obtain low-standard continuous intervals, summing all the low-standard continuous intervals and taking an average value to obtain low-standard continuous uniform intervals, and marking the low-standard continuous uniform intervals as Gk; using the formula->Obtaining a low standard deviation value Sg, wherein b1 is a low standard deviation total difference coefficient, and b2 is a low standard continuous uniform separation coefficient.
Further, the high standard deviation Zh is obtained by the following steps: performing difference calculation on Gao Biaoan different intervals and standard safety different intervals to obtain high standard safety difference, marking the high standard safety difference as Lj, setting a high standard safety difference coefficient as Cb, and using a formulaObtaining high-standard safety difference total differences Ds, wherein j is the total number of the identical safety intervals marked as high-standard safety difference intervals, sequencing abnormal starting moments corresponding to Gao Biaoan different intervals according to time sequence, calculating difference values of the abnormal starting moments corresponding to two adjacent high-standard safety difference intervals, obtaining high-standard continuous intervals, summing all the high-standard continuous intervals, taking an average value, obtaining high-standard continuous uniform intervals, and marking the high-standard continuous uniform intervals as Bm; using the formula->Obtaining a high-standard safety difference value Zh, wherein c1 is a high-standard safety difference total difference coefficient, and c2 is a high-standard continuous uniform separation coefficient.
Further, the monitoring ranking value Pr is obtained through the following steps: using the formulaAnd obtaining a monitoring sequencing value Pr, wherein d1 is an average safety duration coefficient, d2 is a low standard safety value coefficient, and d3 is a high standard safety value coefficient.
Further, the video front-line value Eq is obtained by the following steps: and carrying out difference value calculation on the sequencing sequence of the front video and the front standard ranking to obtain a front ranking difference, carrying out summation treatment on all front ranking differences to obtain a front ranking total difference, marking the front ranking total difference as Hy, obtaining the total times of marking the parity monitoring video as the front ranking video, marking the parity monitoring video as Gr, and obtaining a video front ranking value Eq by using a formula Eq=Hyxy1+Grxy 2, wherein y1 is a front ranking total difference coefficient, and y2 is a front ranking video frequency coefficient.
Further, the video back-end value Fv is obtained by the following steps: and carrying out difference value calculation on the ordering sequence of the rear-row videos and rear-row standard ranking to obtain rear ranking difference, carrying out summation treatment on all rear ranking difference to obtain rear ranking total difference, marking Mb, obtaining the total times of marking the parity monitoring video as rear-row videos, marking Xs, and obtaining a video rear-row value Fv by using a formula fv=Mb×z1+Xs×z2, wherein z1 is rear ranking total difference coefficient, and z2 is rear-row video frequency coefficient.
Further, the video storage value Nk is obtained by the following steps: the video storage value Nk is obtained by using the formula nk=eq×x1-fv×x2, wherein x1 is a video front-row value coefficient and x2 is a video rear-row value coefficient.
Compared with the prior art, the invention has the following beneficial effects:
1. the monitoring ordering module is arranged, so that monitoring videos of the interface of the system display terminal can be ordered according to security abnormal records of security abnormal positions, and videos of areas needing to be monitored in a key way are displayed on the front of the display terminal, so that security monitoring staff can conveniently monitor security areas;
2. the video storage module is arranged, so that the storage time length of the monitoring videos corresponding to different security positions can be adjusted adaptively, the security monitoring videos of each security position can be stored reasonably, and the monitoring videos of part of the security positions are prevented from occupying a large amount of system memory.
Drawings
FIG. 1 is a schematic block diagram of a monitor ordering module of the present invention;
fig. 2 is a schematic block diagram of a video storage module according to the present invention.
Detailed Description
Example 1
Referring to fig. 1, a security video monitoring system based on the internet of things comprises a video monitoring module and a monitoring sequencing module.
The video monitoring module is used for collecting video monitoring data (each security position corresponds to one video monitoring) of different security areas, generating security abnormal records, and sending the security abnormal records to the server through the Internet of things for storage. The security abnormal record comprises a security abnormal position, an abnormal starting time and an abnormal ending time. The abnormal starting time of the security abnormal record (1) of the security abnormal position a is 2023, 1 month and 15 days 08:06:12, abnormal end time is 2023, 1, 15, 08:09:05, the abnormal starting time of the security abnormal record (2) of the security abnormal position a is 2023, 1 month and 27 days 11:30:22, the abnormal end time is 2023, 1, 27, 11:31:28. the security abnormal record is obtained through the following steps: converting video monitoring data into image frames, sequentially sequencing the converted image frames according to time sequence, sequentially taking the image frames as input data of a security detection model according to sequencing, obtaining an image tag of output data of the security detection model, marking the image tag of the output data of the security detection model as a security value, and obtaining the security detection model through the following steps: obtaining a plurality of image frames, marking the image frames as training images, giving image labels to the training images, dividing the training images into a training set and a verification set according to a set proportion, constructing a neural network model, carrying out iterative training on the neural network model through the training set and the verification set, judging that the neural network model is completed to train when the iterative training times are greater than the iterative times threshold, and marking the trained neural network model as a security detection model. The larger the value of the output data of the security detection model is, the more abnormal the security is indicated. Setting an abnormal value threshold value Ay, marking the image frame as an abnormal starting frame when the abnormal value of the first image frame is greater than or equal to the abnormal value threshold value Ay after sequencing, marking the time corresponding to the abnormal starting frame as an abnormal starting time, marking the image frame as an abnormal ending frame when the abnormal value of the first image frame is less than the abnormal value threshold value Ay after the abnormal starting frame, and marking the time corresponding to the abnormal ending frame as an abnormal ending time.
The monitoring and sorting module is used for sorting the monitoring videos of the system display terminal interface according to the security abnormal records of the security abnormal positions, and specifically comprises the following steps:
the method comprises the steps of obtaining security abnormal positions corresponding to security abnormal records, marking the security abnormal records of the same security abnormal positions as parity security abnormal records, calculating time difference values of abnormal end time and abnormal start time of each parity security abnormal record, obtaining security abnormal time length, summing and averaging the security abnormal time lengths of all parity security abnormal records, obtaining average security abnormal time length, and marking the average security abnormal time length as Fs. Ordering all the parity safety records according to the time sequence of the abnormal starting time and the abnormal ending time to obtain a plurality of parity safety intervals I d, and obtaining the parity safety intervals I d by the following steps: the abnormal start time of the adjacent and preceding parity record after the sequence is marked as Tk, the abnormal end time of the adjacent and preceding parity record after the sequence is marked as Ez, the abnormal start time of the adjacent and following parity record after the sequence is marked as Tq, the abnormal end time of the adjacent and following parity record after the sequence is marked as Ef, and the formula is utilizedThe parity interval I d is obtained, wherein a1 is an abnormal start interval coefficient, a2 is an abnormal end interval coefficient, a1 has a value of 1.02, and a2 has a value of 1.01. Setting each parity safety interval to correspond to a standard safety interval, marking the parity safety interval as a low standard safety interval when the parity safety interval is smaller than the standard safety interval, obtaining a low standard safety value Sg, and obtaining the low standard safety value Sg through the following steps: performing difference calculation on the standard deviation interval and the low standard deviation interval to obtain a low standard deviation difference, and marking the low standard deviation difference as F i; setting the low standard deviation coefficient to Jp, wherein p=1, 2,3, … and p; j1 < J2 < J3 < … < Jp, and setting a range of each low standard deviation coefficient corresponding to one low standard deviation, wherein the range comprises (0, F1)]，(F1，F2]，…，(F i-1，F i]When F i E (0, F1)]The corresponding low standard deviation coefficient is J1, and the formula ∈1 is used>Obtaining total low-standard safety difference Ws, wherein i is the total number of the identical safety intervals marked as low-standard safety intervals, sequencing abnormal starting moments corresponding to the low-standard safety intervals according to time sequence, calculating the difference value of the abnormal starting moments corresponding to two adjacent low-standard safety intervals to obtain low-standard continuous intervals, summing all the low-standard continuous intervals and taking an average value to obtain low-standard continuous uniform intervals, and marking the low-standard continuous uniform intervals as Gk; using the formula->Obtaining a low standard deviation value Sg, wherein b1 is a low standard deviation total difference coefficient, b2 is a low standard continuous uniform interval coefficient, b1 has a value of 0.68, and b2 has a value of 0.58. When the parity safety interval is more than or equal to the standard safety interval, marking the parity safety interval as a high standard safety interval, and obtaining a high standard safety value Zh. The high standard safety value Zh is obtained by the following steps: performing difference calculation on Gao Biaoan different intervals and standard safety different intervals to obtain high standard safety different differences, and marking the high standard safety different differences as Lj; setting the high standard deviation coefficient as Cb, b=1, 2,3, …, b; c1 is more than C2 and less than C3 and less than … and Cb, each high standard safety is setThe difference coefficient corresponds to a range of high standard deviation differences, including (0, L1)]，(L1，L2]，…，(Lj-1，Lj]When Lj E (0, L1)]The corresponding high standard deviation coefficient is C1, and the formula ∈1 is used>Obtaining high-standard safety difference total differences Ds, wherein j is the total number of the identical safety intervals marked as high-standard safety difference intervals, sequencing abnormal starting moments corresponding to Gao Biaoan different intervals according to time sequence, calculating difference values of the abnormal starting moments corresponding to two adjacent high-standard safety difference intervals, obtaining high-standard continuous intervals, summing all the high-standard continuous intervals, taking an average value, obtaining high-standard continuous uniform intervals, and marking the high-standard continuous uniform intervals as Bm; using the formula->Obtaining a high-standard safety difference value Zh, wherein c1 is a high-standard safety difference total difference coefficient, c2 is a high-standard continuous uniform interval coefficient, the value of c1 is 0.67, and the value of c2 is 0.57. The monitoring ordering value Pr is obtained by the following steps: using the formula->Obtaining a monitoring sequencing value Pr, wherein d1 is an average safety duration coefficient, d2 is a low standard safety value coefficient, d3 is a high standard safety value coefficient, d1 is 0.52, c2 is 0.51, and d3 is 0.47. And sequentially sequencing all the security abnormal positions according to the value of the monitoring sequencing value Pr from large to small, and sequentially displaying the monitoring videos corresponding to the sequenced security abnormal positions on a system display terminal interface. The monitoring and sorting module is arranged, so that monitoring videos of the system display terminal interface can be sorted according to security abnormal records of security abnormal positions, and the videos of the areas needing to be monitored in a key way are displayed on the front of the display terminal, so that security monitoring staff can conveniently monitor security areas.
Example 2
Referring to fig. 2, on the basis of embodiment 1, the system further includes a video storage module, where the video storage module is configured to adjust a storage duration of a surveillance video corresponding to a security location, specifically:
detecting the ordering sequence of the monitoring video on the interface of the system display terminal on the basis of a fixed time interval, if every interval is 24 hours, detecting the ordering sequence of the monitoring video on the interface of the system display terminal, obtaining the ordering sequence of the monitoring video, marking the monitoring video at the same security position as a parity monitoring video, obtaining all ordering ranks of the parity monitoring video p days before the current time of the system, setting a front standard ranking and a rear standard ranking, marking the parity monitoring video as a front video when the ordering sequence of the parity monitoring video is before the front standard ranking, obtaining a video front ranking value Eq, and obtaining the video front ranking value Eq through the following steps: and carrying out difference value calculation on the sequencing sequence of the front-row videos and the front-row standard ranking to obtain front ranking difference, carrying out summation treatment on all front ranking difference to obtain front ranking total difference, marking the front ranking total difference as Hy, obtaining the total times of marking the parity monitoring video as the front-row videos, marking the parity monitoring video as Gr, and obtaining a video front-row value Eq by using a formula Eq=Hyxy1+Grxy2, wherein y1 is a front ranking total difference coefficient, y2 is a front-row video frequency coefficient, y1 has a value of 0.78 and y2 has a value of 0.34. When the ordering sequence of the monitoring videos is behind the back standard ranking, marking the same-position monitoring videos as back videos, and obtaining a video back value Fv; the video back-end value Fv is obtained by the following steps: and carrying out difference value calculation on the ordering sequence of the rear-row videos and the rear-row standard ranking, obtaining rear ranking difference, carrying out summation treatment on all rear ranking difference, obtaining rear ranking total difference, marking Mb, obtaining total times of marking the parity monitoring video as the rear-row videos, marking Xs, and obtaining a video rear-row value Fv by using a formula fv=Mb×z1+Xs×z2, wherein z1 is rear ranking total difference coefficient, z2 is rear-row video frequency coefficient, z1 has a value of 0.77, and z2 has a value of 0.35.
Obtaining a video storage value Nk, wherein the video storage value Nk is obtained through the following steps: the video storage value Nk is obtained by using a formula Nk=Eq×x1-fv×x2, wherein x1 is a video front-row value coefficient, x2 is a video rear-row value coefficient, the value of x1 is 0.74, and the value of x2 is 0.73. Setting a video storage high value and a video storage low value, when the video storage value Nk is larger than or equal to the video storage high value, upwardly adjusting the storage duration of the monitoring video corresponding to the security position, when the video storage low value Nk is smaller than the video storage high value, not processing, and when the security preset value Ty is smaller than the security preset low value Lm, downwardly adjusting the storage duration of the monitoring video corresponding to the security position. The video storage module is arranged, so that the storage time length of the monitoring videos corresponding to different security positions can be adjusted adaptively, the security monitoring videos of each security position can be stored reasonably, and the monitoring videos of part of the security positions are prevented from occupying a large amount of system memory.
Working principle:
the monitoring and sorting module is arranged, so that monitoring videos of the system display terminal interface can be sorted according to security abnormal records of security abnormal positions, and the videos of the areas needing to be monitored in a key way are displayed on the front of the display terminal, so that security monitoring staff can conveniently monitor security areas. The video storage module is arranged, so that the storage time length of the monitoring videos corresponding to different security positions can be adjusted adaptively, the security monitoring videos of each security position can be stored reasonably, and the monitoring videos of part of the security positions are prevented from occupying a large amount of system memory.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be considered as protecting the scope of the present template.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (10)
1. The security video monitoring system based on the Internet of things is characterized by comprising a video monitoring module, a monitoring ordering module and a video storage module;
the video monitoring module is used for collecting video monitoring data of different security areas, generating security abnormal records, and sending the security abnormal records to the server for storage through the Internet of things;
the monitoring and sorting module is used for sorting the monitoring videos of the system display terminal interface according to the security abnormal records of the security abnormal positions, and specifically comprises the following steps:
the method comprises the steps of obtaining security abnormal positions corresponding to security abnormal records, marking the security abnormal records of the same security abnormal positions as parity security abnormal records, calculating time difference values of abnormal end time and abnormal start time of each parity security abnormal record, obtaining security abnormal time length, summing and averaging the security abnormal time lengths of all parity security abnormal records, obtaining average security abnormal time length, and marking the average security abnormal time length as Fs;
sequencing all the parity safety records according to the time sequence of the abnormal starting time and the abnormal ending time to obtain a plurality of parity safety intervals Id, setting each parity safety interval to correspond to a standard safety interval, marking the parity safety interval as a low standard safety interval when the parity safety interval is smaller than the standard safety interval to obtain a low standard safety value Sg, marking the parity safety interval as a high standard safety interval when the parity safety interval is larger than or equal to the standard safety interval to obtain a high standard safety value ZH;
the method comprises the steps of obtaining a monitoring sequencing value Pr, sequencing all security abnormal positions in sequence according to the value of the monitoring sequencing value Pr from large to small, and sequentially displaying monitoring videos corresponding to the sequenced security abnormal positions on a system display terminal interface;
the video storage module is used for adjusting the storage duration of the monitoring video corresponding to the security position, and specifically comprises the following steps:
detecting the ordering sequence of the monitoring video on the interface of the system display terminal on the basis of a fixed time interval, obtaining the ordering sequence of the monitoring video, marking the monitoring video at the same security position as a parity monitoring video, obtaining all ordering ranks of the parity monitoring video p days before the current time of the system, setting a front standard rank and a rear standard rank, marking the parity monitoring video as a front video when the ordering sequence of the parity monitoring video is before the front standard rank, obtaining a video front rank value Eq, marking the parity monitoring video as a rear video when the ordering sequence of the monitoring video is after the rear standard rank, and obtaining a video rear rank value Fv;
obtaining a video storage value Nk, setting a video storage high value and a video storage low value, when the video storage value Nk is more than or equal to the video storage high value, upwardly adjusting the storage duration of the monitoring video corresponding to the security position, when the video storage low value Nk is less than or equal to the video storage high value, not processing, and when the security preset value Ty is less than the security preset low value Lm, downwardly adjusting the storage duration of the monitoring video corresponding to the security position.
2. The security video monitoring system based on the internet of things according to claim 1, wherein the security anomaly record comprises a security anomaly position, an anomaly start time and an anomaly end time.
3. The security video monitoring system based on the internet of things according to claim 2, wherein the security anomaly record is obtained by the following steps: the video monitoring data are converted into image frames, the image frames obtained through conversion are sequentially ordered according to time sequence, the image frames are sequentially ordered according to time sequence to serve as input data of a security detection model, an image tag of output data of the security detection model is obtained, the image tag of the output data of the security detection model is marked with a security value, a security value threshold value is set as Ay, when the security value of a first image frame after the ordering is greater than or equal to the security value threshold value Ay, the image frame is marked with an abnormal starting frame, the time corresponding to the abnormal starting frame is marked with an abnormal starting time, when the security value of the first image frame after the abnormal starting frame is less than the security value threshold value Ay, the image frame is marked with an abnormal ending frame, and the time corresponding to the abnormal ending frame is marked with an abnormal ending time.
4. The security video monitoring system based on the internet of things according to claim 3, wherein the co-located security interval Id is obtained by: the abnormal start time of the adjacent and preceding parity record after the sequence is marked as Tk, the abnormal end time of the adjacent and preceding parity record after the sequence is marked as Ez, the abnormal start time of the adjacent and following parity record after the sequence is marked as Tq, the abnormal end time of the adjacent and following parity record after the sequence is marked as Ef, and the formula is utilizedAnd obtaining the parity safety interval Id, wherein a1 is an abnormal starting interval coefficient, and a2 is an abnormal ending interval coefficient.
5. The security video monitoring system based on the internet of things according to claim 4, wherein the low standard security value Sg is obtained by: calculating the difference between the standard safety interval and the low standard safety interval to obtain low standard safety difference, marking as Fi, setting the low standard safety difference coefficient as Jp, and using the formulaObtaining total low-standard safety difference Ws, wherein i is the total number of the identical safety intervals marked as low-standard safety intervals, sequencing abnormal starting moments corresponding to the low-standard safety intervals according to time sequence, calculating the difference value of the abnormal starting moments corresponding to two adjacent low-standard safety intervals to obtain low-standard continuous intervals, summing all the low-standard continuous intervals and taking an average value to obtain low-standard continuous uniform intervals, and marking the low-standard continuous uniform intervals as Gk; using the formula->Obtaining a low standard deviation value Sg, wherein b1 is a low standard deviation total difference coefficient, and b2 is a low standard continuous uniform separation coefficient.
6. The security video monitoring system based on the internet of things according to claim 5, wherein the high standard security value Zh is obtained by: performing difference calculation on Gao Biaoan different intervals and standard safety different intervals to obtain high standard safety difference, marking the high standard safety difference as Lj, setting a high standard safety difference coefficient as Cb, and using a formulaObtaining high-standard safety difference total differences Ds, wherein j is the total number of the identical safety intervals marked as high-standard safety difference intervals, sequencing abnormal starting moments corresponding to Gao Biaoan different intervals according to time sequence, calculating difference values of the abnormal starting moments corresponding to two adjacent high-standard safety difference intervals, obtaining high-standard continuous intervals, summing all the high-standard continuous intervals, taking an average value, obtaining high-standard continuous uniform intervals, and marking the high-standard continuous uniform intervals as Bm; using the formula->Obtaining a high-standard safety difference value Zh, wherein c1 is a high-standard safety difference total difference coefficient, and c2 is a high-standard continuous uniform separation coefficient.
7. The security video monitoring system based on the internet of things according to claim 6, wherein the monitoring ranking value Pr is obtained by: using the formulaAnd obtaining a monitoring sequencing value Pr, wherein d1 is an average safety duration coefficient, d2 is a low standard safety value coefficient, and d3 is a high standard safety value coefficient.
8. The security video monitoring system based on the internet of things according to claim 7, wherein the video front-row value Eq is obtained by: and carrying out difference value calculation on the sequencing sequence of the front video and the front standard ranking to obtain a front ranking difference, carrying out summation treatment on all front ranking differences to obtain a front ranking total difference, marking the front ranking total difference as Hy, obtaining the total times of marking the parity monitoring video as the front ranking video, marking the parity monitoring video as Gr, and obtaining a video front ranking value Eq by using a formula Eq=Hyxy1+Grxy 2, wherein y1 is a front ranking total difference coefficient, and y2 is a front ranking video frequency coefficient.
9. The security video monitoring system based on the internet of things according to claim 8, wherein the video back-end value Fv is obtained by the following steps: and carrying out difference value calculation on the ordering sequence of the rear-row videos and rear-row standard ranking to obtain rear ranking difference, carrying out summation treatment on all rear ranking difference to obtain rear ranking total difference, marking Mb, obtaining the total times of marking the parity monitoring video as rear-row videos, marking Xs, and obtaining a video rear-row value Fv by using a formula fv=Mb×z1+Xs×z2, wherein z1 is rear ranking total difference coefficient, and z2 is rear-row video frequency coefficient.
10. The security video monitoring system based on the internet of things according to claim 9, wherein the video storage value Nk is obtained by: the video storage value Nk is obtained by using the formula nk=eq×x1-fv×x2, wherein x1 is a video front-row value coefficient and x2 is a video rear-row value coefficient.
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