CN113450530A - Safety early warning system based on intelligent video analysis algorithm - Google Patents
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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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
- G08B25/08—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 communication transmission lines
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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Abstract
The invention relates to the technical field of safety early warning, in particular to a safety early warning system based on an intelligent video analysis algorithm; the system comprises a monitoring camera, a front-end processing unit, a central processing unit, a display and an alarm; when the intelligent video analysis algorithm-based fire disaster early warning system is used, the monitoring camera acquires a video image of a monitoring area from the monitoring area, filters the acquired monitoring video image, filters interference of interference sources such as natural light and the like to the image, extracts characteristics of the monitoring video image based on an intelligent video analysis algorithm, compares the extracted characteristic information with stored characteristic information, transmits fire information to a display for a manager to check when a fire occurs, simultaneously sends an early warning short message to a worker through the short message, and sends an alarm to the monitoring area through an alarm, so that the detection capability of the fire can be improved, meanwhile, the fire early warning method based on the intelligent video analysis algorithm can improve the accuracy of early warning, and meanwhile, the reaction speed can be improved.
Description
Technical Field
The invention relates to the technical field of safety early warning, in particular to a safety early warning system based on an intelligent video analysis algorithm.
Background
The fire disaster refers to a disaster caused by combustion which is out of control in time or space, a safety early warning system can be installed in a thermoelectric enterprise to avoid the occurrence of the fire disaster, and fire disaster information is acquired through a sensor to realize a fire disaster early warning function.
Although the fire early warning system provided by the patent document has a certain fire early warning function, the early warning accuracy is poor, and meanwhile, when the fire is early warned, the reaction speed is slow, the interference is easily received, and the requirements of users cannot be met.
In summary, the development of a safety early warning system based on an intelligent video analysis algorithm is still a key problem to be solved urgently in the technical field of safety early warning.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a safety early warning system based on an intelligent video analysis algorithm, when the system is used, a monitoring camera acquires a video image of a monitored area from the monitored area, the acquired monitoring video image is transmitted to a front-end processing unit, the front-end processing unit filters the acquired monitoring video image to filter the interference of natural light and other interference sources to the image, the monitoring video image is subjected to feature extraction based on the intelligent video analysis algorithm, the extracted feature information is compared with the stored feature information to determine whether a fire occurs, when the fire occurs, the fire information is transmitted to a display for being checked by a manager, meanwhile, an early warning short message is sent to a worker through the short message, an alarm is sent to the monitored area through an alarm, and the detection capability of the fire can be improved, meanwhile, the reaction speed of the fire can be increased, the accuracy of early warning can be improved based on the fire early warning mode of the intelligent video analysis algorithm, and meanwhile, the reaction speed can be increased.
In order to achieve the purpose, the invention provides the following technical scheme:
a safety early warning system based on intelligent video analysis algorithm comprises:
and the monitoring camera is used for acquiring a video image of the monitored area.
The front-end processing unit is used for acquiring the monitoring video images of the monitoring area from the monitoring camera and filtering interference of the monitoring video images, and is in signal connection with the monitoring camera.
The central processing unit extracts information of the monitoring video image based on a video analysis algorithm, compares the extracted characteristic information with the stored characteristic information and determines whether a fire is sent or not, and is electrically connected with the front-end processing unit.
And the display is used for displaying the fire early warning information and is electrically connected with the central processing unit.
The alarm is used for sending out voice alarm to the fire area and is electrically connected with the central processing unit.
The invention is further configured to: the front-end processing unit comprises a communication module and a filtering module, wherein,
the communication module is used for acquiring a monitoring video image of the monitoring camera.
The filtering module is used for filtering the interference of an interference source to the monitoring video image, and is electrically connected with the communication module.
The invention is further configured to: the central processor comprises an information processing unit, a fire judgment module and a database, wherein,
and the information processing unit extracts the information of the monitoring video image based on a video analysis algorithm.
The fire condition judging module is used for comparing the extracted characteristic information with the stored characteristic information and judging whether a fire disaster occurs or not, and the fire condition judging module is electrically connected with the information processing unit.
The database is used for storing fire characteristic information and is electrically connected with the fire condition judging module.
The invention is further configured to: the central processing unit further comprises a linkage early warning unit, the linkage early warning unit starts linkage early warning according to the obtained judgment result, and the linkage early warning unit is electrically connected with the fire judgment module.
The invention is further configured to: the linkage early warning unit is also used for sending early warning information to the display and sending early warning to managers.
The invention is further configured to: the information processing unit comprises an image segmentation module and a feature extraction module, wherein,
the image segmentation module performs image segmentation on the monitoring video image based on a video analysis algorithm.
The feature extraction module performs feature extraction on the monitoring video image based on a video analysis algorithm, and is electrically connected with the image segmentation module.
The invention is further configured to: the image segmentation module is further used for carrying out image enhancement on the flame image based on a video analysis algorithm.
The invention is further configured to: the linkage early warning unit comprises a short message sending module and a voice sending module, wherein,
and the short message sending module sends early warning information to managers after receiving the fire early warning instruction.
And the voice sending module sends out alarm voice to the staff in the monitoring area after receiving the fire early warning instruction.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
when in use, the monitoring camera acquires a video image of a monitoring area from the monitoring area, transmits the acquired monitoring video image to the front-end processing unit, the filtering module filters the monitoring video image to filter the interference of interference sources such as natural light and the like on the image, the information processing unit acquires the filtered video image of the monitoring area, performs characteristic extraction on the monitoring video image, the fire condition judging module acquires the extracted characteristic information from the information processing unit, extracts the stored characteristic information from the database, performs characteristic comparison to determine whether a fire occurs or not, and if the fire occurs, the linkage early warning unit is started to send voice early warning to the monitoring area and send early warning short messages to managers, so that the early warning capability on the fire can be improved, meanwhile, the response speed of the fire can be improved, and the fire early warning mode is based on an intelligent video analysis algorithm, the accuracy of early warning can be improved, and simultaneously, the reaction speed can be improved.
Drawings
FIG. 1 is a system diagram of a security pre-warning system based on an intelligent video analysis algorithm;
FIG. 2 is a system diagram of the interior of a front-end processing unit in a security pre-warning system based on an intelligent video analysis algorithm;
FIG. 3 is a system diagram of the inside of a central processing unit of a security early warning system based on an intelligent video analysis algorithm;
FIG. 4 is a system diagram of the inside of an information processing unit in a security early warning system based on an intelligent video analysis algorithm;
fig. 5 is a system diagram of the interior of a linkage early warning unit in a safety early warning system based on an intelligent video analysis algorithm.
The reference numbers in the figures illustrate:
1. a surveillance camera; 2. a front-end processing unit; 201. a communication module; 202. a light filtering module; 3. a central processing unit; 301. an information processing unit; 3011. an image segmentation module; 3012. a feature extraction module; 302. a fire condition judgment module; 303. a database; 304. a linkage early warning unit; 3041. a short message sending module; 3042. a voice sending module; 4. a display; 5. an alarm.
Detailed Description
The technical solution in 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; it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, and the two components can be communicated with each other; the specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1 to 5, a safety precaution system based on an intelligent video analysis algorithm includes:
the monitoring camera 1, the monitoring camera 1 is used for obtaining the video image of the monitored area.
The front-end processing unit 2, the front-end processing unit 2 is used for obtaining the surveillance video image of the surveillance area from the surveillance camera 1 and filtering interference from the surveillance video image, and the front-end processing unit 2 is in signal connection with the surveillance camera 1.
And the central processing unit 3 is used for extracting information of the monitoring video image based on a video analysis algorithm, comparing the extracted characteristic information with the stored characteristic information and determining whether to send a fire disaster or not, and the central processing unit 3 is electrically connected with the front-end processing unit 2.
The display 4, display 4 are used for showing fire early warning information, and display 4 and central processing unit 3 electric connection.
The alarm 5, the alarm 5 is used for sending out the pronunciation alarm to the fire area, and the alarm 5 is connected with central processing unit 3 electrical behavior.
When the monitoring camera is used, the monitoring camera 1 acquires a video image of a monitoring area from the monitoring area, transmits the acquired monitoring video image to the front-end processing unit 2, the front-end processing unit 2 filters the acquired monitoring video image, interference of interference sources such as natural light and the like to the image is filtered, feature extraction is carried out on the monitoring video image based on an intelligent video analysis algorithm, the extracted feature information is compared with the stored feature information to determine whether a fire occurs, when the fire occurs, the fire information is transmitted to the display 4 to be checked by a manager, meanwhile, an early warning short message is sent to a worker through the short message, an alarm is sent to the monitoring area through the alarm 5, the detection capability of the fire can be improved, and meanwhile, the reaction speed of the fire can be improved.
The front-end processing unit 2 includes a communication module 201 and a filtering module 202, wherein,
the communication module 201 is used for acquiring a monitoring video image of the monitoring camera 1.
The filtering module 202 is used for filtering interference of an interference source to the monitored video image, and the filtering module 202 is electrically connected with the communication module 201.
According to the invention, the communication module 201 acquires the video image of the monitoring area of the monitoring camera 1, and the filtering module 202 filters the monitoring video image to filter the interference of interference sources such as natural light and the like to the image.
The central processor 3 comprises an information processing unit 301, a fire determination module 302 and a database 303, wherein,
the information processing unit 301 performs information extraction on the monitoring video image based on a video analysis algorithm.
The fire determination module 302 is configured to compare the extracted feature information with the stored feature information, and determine whether a fire occurs, and the fire determination module 302 is electrically connected to the information processing unit 301.
The database 303 is used for storing fire characteristic information, and the database 303 is electrically connected with the fire condition determination module 302.
The central processing unit 3 further includes a linkage early warning unit 304, the linkage early warning unit 304 starts linkage early warning according to the obtained determination result, and the linkage early warning unit 304 is electrically connected to the fire determination module 302.
The linkage early warning unit 304 is further configured to send early warning information to the display 4, and send an early warning to the manager.
The information processing unit 301 obtains the filtered video image of the monitored area, the monitored video image is subjected to feature extraction, the fire condition judging module 302 obtains the extracted feature information from the information processing unit 301, then extracts the stored feature information from the database 303, then performs feature comparison to determine whether a fire occurs, if the fire occurs, the linkage early warning unit 304 is started to send out voice early warning to the monitored area, and early warning short messages are sent to managers, so that the early warning capability of the fire can be improved.
The information processing unit 301 includes an image segmentation module 3011 and a feature extraction module 3012, wherein,
the image segmentation module 3011 performs image segmentation on the surveillance video image based on a video analysis algorithm.
The feature extraction module 3012 performs feature extraction on the monitored video image based on a video analysis algorithm, and the feature extraction module 3012 is electrically connected to the image segmentation module 3011.
The image segmentation module 3011 is also used for image enhancement of the flame image based on video analysis algorithms.
The invention divides the acquired monitoring video image, and sets the gray level of the original gray image as L and the number of pixel points with the gray level as L as niThen, the non-image-removing pixels of the image are:
N＝n0+n1+...+nL-1normalizing the histogram, then
The formula of the image optimal threshold t is as follows:
based on the calculated threshold value, the image can be binarizedDividing the image into binary images, and enhancing the flame image, if the original image is f (x, y), the processed image is g (x, y), and h (x, y) is the impulse response, the processing procedure can be represented by the following formula: g (x, y) ═ H (x, y) × F (x, y), where x represents convolution, if G (u, v), H (u, v), F (u, v), respectively, the fourier transform of G (x, y) ═ H (x, y) × F (x, y), can be expressed as a product relationship of transform domains by the convolution relationship, as G (u, v) ═ H (u, v) × F (u, v), where H (u, v) is the transfer function, and the enhancement formula is G (x, y) ═ F (u, v), where H (u, v) is the transfer function, and G (x, y) × F (x, v) is the enhancement formula1[H(u,v)·F(u,v)]Through enhancement, the images can be better and easily identified, the characteristic extraction can be carried out by extracting the fire area increasing trend, the bright spots of each area of each continuous 4 images are respectively averaged, whether the area of the area is the increasing trend or not is judged, the fire growth rate is measured by the change of the pixel spots, and the growth rate G isiThe calculation formula of (2) is as follows:
thereby realizing the extraction of the characteristics.
The linkage warning unit 304 includes a short message sending module 3041 and a voice sending module 3042, wherein,
the short message sending module 3041 sends the warning information to the manager after receiving the fire warning instruction.
The voice sending module 3042 sends out an alarm voice to the staff in the monitoring area after receiving the fire early warning instruction.
After receiving the fire information, the short message sending module 3041 sends an early warning short message to the manager, meanwhile, the voice sending module 3042 sends an early warning voice broadcasting instruction to the alarm 5, the alarm 5 sends fire early warning voice to the monitored area, and the people in the monitored area are reminded of paying attention to the fire, so that the early warning effect on the fire is intelligently realized.
When the invention is used, the monitoring camera 1 acquires a video image of a monitoring area from the monitoring area, transmits the acquired monitoring video image to the front-end processing unit 2, the filtering module 202 filters the monitoring video image, so as to filter the interference of interference sources such as natural light and the like on the image, the information processing unit 3 acquires the filtered video image of the monitoring area, performs characteristic extraction on the monitoring video image, the fire condition judging module 302 acquires the extracted characteristic information from the information processing unit 301, then extracts the stored characteristic information from the database 303, then performs characteristic comparison to determine whether a fire occurs, if a fire occurs, the linkage early warning unit 304 is started to send voice early warning to the monitoring area, and early warning short messages are sent to managers, so that the early warning capability of the fire can be improved, meanwhile, the response speed of the fire can be improved, and the fire early warning mode is based on an intelligent video analysis algorithm, the accuracy of early warning can be improved, and simultaneously, the reaction speed can be improved.
Portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof, and in the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system, for example, if implemented in hardware, and in another embodiment, any one or a combination of the following techniques, as is known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. A safety early warning system based on intelligent video analysis algorithm is characterized by comprising:
the monitoring camera (1), the said monitoring camera (1) is used for obtaining the video image of the monitored area;
the system comprises a front-end processing unit (2), wherein the front-end processing unit (2) is used for acquiring a monitoring video image of a monitoring area from a monitoring camera (1) and filtering interference of the monitoring video image, and the front-end processing unit (2) is in signal connection with the monitoring camera (1);
the central processing unit (3) extracts information of the monitoring video image based on a video analysis algorithm, compares the extracted characteristic information with the stored characteristic information, and determines whether a fire disaster is sent, wherein the central processing unit (3) is electrically connected with the front-end processing unit (2);
the display (4), the said display (4) is used for revealing the early warning information of fire, the said display (4) is connected with electrical behavior of the central processing unit (3);
the alarm (5) is used for giving out voice alarm to the fire area, and the alarm (5) is electrically connected with the central processing unit (3).
2. A safety precaution system based on intelligent video analysis algorithm according to claim 1, characterized in that, the front end processing unit (2) includes a communication module (201) and a filtering module (202), wherein,
the communication module (201) is used for acquiring a monitoring video image of the monitoring camera (1);
the filtering module (202) is used for filtering interference of an interference source to the monitoring video image, and the filtering module (202) is electrically connected with the communication module (201).
3. A safety precaution system based on intelligent video analysis algorithm according to claim 1, characterized by that, the central processor (3) includes information processing unit (301), fire judgment module (302) and database (303), wherein,
the information processing unit (301) extracts information of the monitoring video image based on a video analysis algorithm;
the fire condition judging module (302) is used for comparing the extracted characteristic information with the stored characteristic information and judging whether a fire disaster occurs or not, and the fire condition judging module (302) is electrically connected with the information processing unit (301);
the database (303) is used for storing fire characteristic information, and the database (303) is electrically connected with the fire condition judging module (302).
4. The safety early warning system based on the intelligent video analysis algorithm according to claim 3, wherein the central processing unit (3) further comprises a linkage early warning unit (304), the linkage early warning unit (304) starts linkage early warning according to the obtained judgment result, and the linkage early warning unit (304) is electrically connected with the fire judgment module (302).
5. The safety precaution system based on intelligent video analysis algorithm of claim 4, characterized in that, the linkage precaution unit (304) is further used to send precaution information to the display (4) to send precaution to the manager.
6. The safety precaution system based on intelligent video analysis algorithm according to claim 3, characterized in that, the information processing unit (301) includes an image segmentation module (3011) and a feature extraction module (3012), wherein,
the image segmentation module (3011) performs image segmentation on the monitoring video image based on a video analysis algorithm;
the feature extraction module (3012) performs feature extraction on the monitoring video image based on a video analysis algorithm, and the feature extraction module (3012) is electrically connected with the image segmentation module (3011).
7. The safety precaution system based on intelligent video analysis algorithm according to claim 6, characterized in that the image segmentation module (3011) is further used for image enhancement of flame images based on video analysis algorithm.
8. The safety precaution system based on intelligent video analysis algorithm of claim 5, characterized in that, the linkage precaution unit (304) includes a short message sending module (3041) and a voice sending module (3042), wherein,
the short message sending module (3041) sends early warning information to managers after receiving the fire early warning instruction;
and the voice sending module (3042) sends out alarm voice to the staff in the monitoring area after receiving the fire early warning instruction.
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| CN117518175A (en) * | 2023-11-09 | 2024-02-06 | 大庆安瑞达科技开发有限公司 | Method for rapidly finding fire source by infrared Zhou Saolei reaching wide area range |
| CN117518175B (en) * | 2023-11-09 | 2024-05-31 | 大庆安瑞达科技开发有限公司 | Method for quickly finding fire source by infrared Zhou Saolei reaching wide area range |
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Application publication date: 20210928 |