CN111818286A - Video monitoring equipment fault detection system - Google Patents
Video monitoring equipment fault detection system Download PDFInfo
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- CN111818286A CN111818286A CN201910290180.4A CN201910290180A CN111818286A CN 111818286 A CN111818286 A CN 111818286A CN 201910290180 A CN201910290180 A CN 201910290180A CN 111818286 A CN111818286 A CN 111818286A
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- 238000001514 detection method Methods 0.000 title claims abstract description 52
- 238000012544 monitoring process Methods 0.000 title claims abstract description 51
- 238000012806 monitoring device Methods 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims abstract description 11
- 230000003993 interaction Effects 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 3
- 241000282414 Homo sapiens Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
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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
- H04N5/765—Interface circuits between an apparatus for recording and another apparatus
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Abstract
The invention discloses a video monitoring equipment fault detection system. Relates to the technical field of monitoring equipment maintenance. The invention comprises a video monitoring device and a monitoring device connected with the video monitoring device through a network input/output interface: the video monitoring equipment mainly comprises an antenna, a GPRS (general packet radio service), a power grid voltage detection module, a direct current voltage detection module, an image acquisition module and a processor, and is used for completing the acquisition and transmission of image data and the detection of equipment working condition data; the processor receives image information acquired by the image acquisition module, power grid voltage data information detected by the power grid voltage detection module and working direct current voltage data information detected by the direct current voltage detection module; the monitoring equipment is used for finishing image abnormity detection and performs data interaction with the mobile terminal through the wireless data transmission module. The invention acquires the working data of the camera through the mobile terminal, thereby facilitating the overhaul of maintainers.
Description
Technical Field
The invention belongs to the technical field of monitoring equipment maintenance, and particularly relates to a video monitoring equipment fault detection system.
Background
The intelligent video monitoring system automatically analyzes and distinguishes video images, changes the previous monitoring and analyzing mode by monitoring personnel, particularly the rapid development of computer image and video processing technology in recent years, analyzes and distinguishes the video images obtained by monitoring by an intelligent video module of the equipment, monitors various abnormal conditions, sends out an alarm signal at the first time, lightens the work load of human beings and saves a large amount of labor cost. Such as automatic counting and counting of entrance, automatic intrusion detection, automatic vehicle tracking, automatic license plate number capture, etc., have been widely used in various industries.
No matter how powerful the intelligent video monitoring system is, the intelligent video monitoring system is based on the normal operation of the monitoring system. Once a monitoring system has a line fault or a camera lens is damaged naturally or artificially, the intelligent module of the monitoring system cannot be executed to work.
Disclosure of Invention
The invention aims to provide a video monitoring equipment fault detection system, which receives signals of a camera through the network connection part of the installed monitoring equipment at the front-end camera, reads the data signals of the front-end camera by using the equipment, then connects a mobile terminal by using a wireless transmission module signal of the equipment, acquires the working data of the camera through the mobile terminal, facilitates the overhaul of maintainers and solves the problem of complicated detection process of the existing detection equipment.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a video monitoring equipment fault detection system, which comprises video monitoring equipment and monitoring equipment connected with the video monitoring equipment through a network input/output interface, wherein the monitoring equipment comprises:
the video monitoring equipment mainly comprises an antenna, a GPRS (general packet radio service), a power grid voltage detection module, a direct current voltage detection module, an image acquisition module and a processor, and is used for completing the acquisition and transmission of image data and the detection of equipment working condition data;
the processor receives image information acquired by the image acquisition module, power grid voltage data information detected by the power grid voltage detection module and working direct current voltage data information detected by the direct current voltage detection module;
the monitoring equipment is used for finishing image abnormity detection, and the monitoring equipment performs data interaction with the mobile terminal through the wireless data transmission module.
Preferably, the image acquisition module is a camera, and the image acquisition module divides acquired video information into an image sequence, wherein the image sequence includes the appearance and the moving characteristics of the moving object.
Preferably, the grid voltage detection module is installed at an external access circuit end and is used for detecting data information of the accessed grid voltage.
Preferably, the processor identifies grid voltage fault information detected by the grid voltage detection module and direct current voltage fault information detected by the direct current voltage detection module, and the processor sends fault device position information to the background server through the GPRS and the antenna.
Preferably, the monitoring device acquires image sequence data information of the video monitoring device through a network input/output interface to identify monitored abnormal data, wherein the abnormal data is divided into signal missing and camera covering.
Preferably, the signal absence determination method is as follows:
average value of each pixel of N frame images
Mean square error of each pixel of the N frame image
Mean square error of each pixel mean value of N frame images
Where W is the width of the image, H is the height of the image, xijIs the pixel value at the (i, j) location of the image; setting a threshold value T when σnAnd if the sum sigma is less than T, judging that the current video has no signal.
Preferably, the camera coverage judging method is as follows:
and if the statistical variance of the picture pixel values is not 0 and the picture change difference in the T frame is less than the threshold value T, judging that the camera is covered.
The invention has the following beneficial effects:
1. the invention receives the signal of the camera at the network connection position of the front-end camera through the installed monitoring equipment, reads the data signal of the front-end camera by using the equipment, then uses the wireless transmission module of the equipment to connect the mobile terminal through the signal, and obtains the working data of the camera through the mobile terminal, thereby facilitating the overhaul of maintainers.
2. The invention completes the detection and analysis of the video monitoring equipment data through the monitoring equipment, and sends the position information of the fault equipment to the background monitoring server through the GPRS and the antenna.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a video surveillance device fault detection system of the present invention;
fig. 2 is a flow chart of the video monitoring apparatus fault detection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention is a video monitoring device fault detection system, which includes a video monitoring device and a monitoring device connected to the video monitoring device through a network input/output interface:
the video monitoring equipment mainly comprises an antenna, a GPRS (general packet radio service), a power grid voltage detection module, a direct current voltage detection module, an image acquisition module and a processor, and is used for completing the acquisition and transmission of image data and the detection of equipment working condition data;
the processor receives image information acquired by the image acquisition module, power grid voltage data information detected by the power grid voltage detection module and working direct current voltage data information detected by the direct current voltage detection module;
the monitoring equipment is used for finishing image abnormity detection and performs data interaction with the mobile terminal through the wireless data transmission module.
The monitoring equipment is applied to the network connection position of the front-end camera to receive signals of the camera, the equipment is used for reading data signals of the front-end camera, the wireless transmission module is used for connecting the mobile terminal in a signal mode, the mobile terminal is used for acquiring working data of the camera, and maintenance personnel can conveniently overhaul the monitoring equipment.
And the detection and analysis of the video monitoring equipment data are completed through the monitoring equipment, and the position information of the fault equipment is sent to the background monitoring server through the GPRS and the antenna.
The image acquisition module is a camera and divides acquired video information into an image sequence, wherein the image sequence comprises the appearance and the moving characteristic of a moving target.
The power grid voltage detection module is installed at an external access circuit end and used for detecting data information of the accessed power grid voltage.
The processor identifies the power grid voltage fault information detected by the power grid voltage detection module and the direct current voltage fault information detected by the direct current voltage detection module, and sends the position information of the fault equipment to the background server through the GPRS and the antenna.
The monitoring equipment acquires image sequence data information of the video monitoring equipment through a network input/output interface to identify monitored abnormal data, wherein the abnormal data is divided into signal loss and camera coverage.
The signal loss judgment method comprises the following steps:
average value of each pixel of N frame images
Mean square error of each pixel of the N frame image
Mean square error of each pixel mean value of N frame images
Where W is the width of the image, H is the height of the image, xijIs the pixel value at the (i, j) location of the image; setting a threshold value T when σnAnd if the sum sigma is less than T, judging that the current video has no signal.
The camera coverage judging method comprises the following steps:
and if the statistical variance of the picture pixel values is not 0 and the picture change difference in the T frame is less than the threshold value T, judging that the camera is covered.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it can be understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above can be implemented by instructing the relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A video monitoring equipment fault detection system is characterized by comprising video monitoring equipment and monitoring equipment connected with the video monitoring equipment through a network input/output interface, wherein the monitoring equipment comprises:
the video monitoring equipment mainly comprises an antenna, a GPRS (general packet radio service), a power grid voltage detection module, a direct current voltage detection module, an image acquisition module and a processor, and is used for completing the acquisition and transmission of image data and the detection of equipment working condition data;
the processor receives image information acquired by the image acquisition module, power grid voltage data information detected by the power grid voltage detection module and working direct current voltage data information detected by the direct current voltage detection module;
the monitoring equipment is used for finishing image abnormity detection, and the monitoring equipment performs data interaction with the mobile terminal through the wireless data transmission module.
2. The system according to claim 1, wherein the image capturing module is a camera, and the image capturing module segments captured video information into an image sequence, wherein the image sequence includes the shape and movement characteristics of the moving object.
3. The video monitoring equipment fault detection system of claim 1, wherein the grid voltage detection module is installed at an external access circuit terminal and is configured to detect data information of an accessed grid voltage.
4. The video monitoring device fault detection system of claim 1, wherein the processor identifies grid voltage fault information detected by the grid voltage detection module and dc voltage fault information detected by the dc voltage detection module, and the processor sends fault device location information to the backend server via GPRS and the antenna.
5. The system according to claim 1, wherein the monitoring device obtains image sequence data information of the video monitoring device through the network input/output interface to identify abnormal data monitored, wherein the abnormal data is divided into signal missing and camera covering.
6. The video monitoring device fault detection system of claim 5, wherein the signal loss determination method is as follows:
average value of each pixel of N frame images
Mean square error of each pixel of the N frame image
Mean square error of each pixel mean value of N frame images
Where W is the width of the image, H is the height of the image, xijIs the pixel value at the (i, j) location of the image; setting a threshold value T when σnAnd if the sum sigma is less than T, judging that the current video has no signal.
7. The video monitoring equipment fault detection system according to claim 5, wherein the camera coverage judgment method is as follows:
and if the statistical variance of the picture pixel values is not 0 and the picture change difference in the T frame is less than the threshold value T, judging that the camera is covered.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910290180.4A CN111818286A (en) | 2019-04-11 | 2019-04-11 | Video monitoring equipment fault detection system |
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| CN201910290180.4A CN111818286A (en) | 2019-04-11 | 2019-04-11 | Video monitoring equipment fault detection system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113364911A (en) * | 2021-06-11 | 2021-09-07 | 上海兴容信息技术有限公司 | Detection method and system for preset terminal |
| CN114092436A (en) * | 2021-11-18 | 2022-02-25 | 深圳市佰慧智能科技有限公司 | Operation and maintenance management system and management method based on video networking sharing |
| CN115664788A (en) * | 2022-10-24 | 2023-01-31 | 惠州市德赛西威智能交通技术研究院有限公司 | Communication data hijacking monitoring method and system, storage medium and electronic equipment |
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| CN113364911A (en) * | 2021-06-11 | 2021-09-07 | 上海兴容信息技术有限公司 | Detection method and system for preset terminal |
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