CN204046720U - A kind of safety monitoring system - Google Patents
A kind of safety monitoring system Download PDFInfo
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- CN204046720U CN204046720U CN201420096495.8U CN201420096495U CN204046720U CN 204046720 U CN204046720 U CN 204046720U CN 201420096495 U CN201420096495 U CN 201420096495U CN 204046720 U CN204046720 U CN 204046720U
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Abstract
The utility model is applicable to technical field of information processing, provides a kind of safety monitoring system, and described system comprises on-site monitoring equipment and control terminal, and described on-site monitoring equipment comprises camera and pick-up; Described control terminal comprises video capture circuit, audio collection circuit, analysis module and risk evaluation module; Described camera is connected with analysis module by video capture circuit; Described pick-up is connected with analysis module by audio collection circuit; Described analysis module is connected with described risk evaluation module.The utility model by the analysis of audio frequency, video information to realize Real-Time Monitoring to crowd massing place safety risk and early warning, and improve the accuracy of the Risk Monitoring to crowd massing place.
Description
Technical field
The utility model belongs to technical field of information processing, particularly relates to a kind of safety monitoring system.
background technology
In recent years, along with sustained economic development, people's material and cultural needs raising and urbanization process are accelerated, and crowd density and crowd's mobility of all kinds of public place are increasing, cause the security risk of public place increasing.According to incompletely statistics, weighing the world has thousands to die in the accident of crowd massing activity generation every year.By the video monitoring to public place, controlled on-the-spot actual situation about occurring can be understood, and can replace in the presence of a harsh environment manually monitoring for a long time.
But also there is the problem of following three aspects in existing Video Supervision Technique:
1, existing video monitoring system depends on artificial analysis and decision.But the quantity of artificial monitoring camera simultaneously and time are all limited.
2, existing video monitoring system does not have real-time.In most cases, time the video that video monitoring system obtains can only be used for, evidence obtaining, can not realize Realtime Alerts.
3, existing video monitoring system places one's entire reliance upon live video information, and ignores the audio-frequency information of no less important, and the Synchronization Analysis to audio-frequency information.
utility model content
The purpose of this utility model is to provide a kind of safety monitoring system, with the Real-Time Monitoring by realizing the analysis of audio frequency, video information crowd massing place safety risk.
The utility model embodiment is achieved in that a kind of safety monitoring system, and described system comprises on-site monitoring equipment and control terminal,
Wherein, described on-site monitoring equipment comprises camera and pick-up;
Described control terminal comprises video capture circuit, audio collection circuit, analysis module and risk evaluation module;
Described camera is connected with analysis module by video capture circuit;
Described pick-up is connected with analysis module by audio collection circuit;
Described analysis module is connected with described risk evaluation module;
Described analysis module is digital signal processor DSP; Described risk evaluation module is field programmable gate array chip FPGA.
Further, described system also comprises display;
Described display is connected with described risk evaluation module.
Further, described system also comprises memory;
Described memory is connected with described on-site monitoring equipment.
The audio-frequency information of the crowd massing place current live that the utility model collects according to on-site monitoring equipment and video information, analysis module obtains the safe condition information of site environment according to audio-frequency information and video information, risk evaluation module is analyzed by the safe condition information of preset model to site environment, to realize in real time to risk class assessment and the early warning of current live, and by conjunction with audio-frequency information and video information, improve the accuracy to the Risk Monitoring in crowd massing place, and supervisory control system is intelligent.
accompanying drawing explanation
Fig. 1 is the system block diagram of the safety monitoring system that the utility model embodiment provides;
Fig. 2 is the composition structure chart of the safety monitoring system that the utility model embodiment provides.
Fig. 3 is the composition structure chart of the safety monitoring system that another embodiment of the utility model provides.
embodiment
In order to make the purpose of this utility model, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the utility model is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the utility model, and be not used in restriction the utility model.
The audio-frequency information of the crowd massing place current live that the utility model collects according to on-site monitoring equipment and video information, analysis module obtains the safe condition information of current live environment according to audio-frequency information and video information, risk evaluation module is analyzed by the safe condition information of preset model to current live environment, to realize in real time to risk class assessment and the early warning of current live, and by conjunction with audio-frequency information and video information, improve the accuracy to the Risk Monitoring in crowd massing place, and supervisory control system is intelligent.
Fig. 1 shows the system block diagram of the safety monitoring system that the embodiment of the present invention one provides, and for convenience of explanation, illustrate only part related to the present embodiment.
With reference to Fig. 1, this system comprises on-site monitoring equipment 1 and control terminal 2, connects communication between described on-site monitoring equipment 1 and control terminal 2 by wired or wireless mode.Described on-site monitoring equipment 1 is for gathering crowd massing place on-site supervision information, and described on-site supervision information comprises video information and audio-frequency information.Described control terminal 2 is for obtaining the safe condition information of site environment according to described video information and described audio-frequency information; Meanwhile, described control terminal 2, also for according to described safe condition information, by preset model, assesses on-the-spot current risk class.Wherein, for related realization principle and the structure of control terminal 2, will be described in detail in subsequent embodiment, repeat no longer one by one herein.
In the present embodiment, described control terminal 2 can be server, computer, panel computer or mobile phone etc., is not construed as limiting at this to the type of control terminal 2.Described on-site monitoring equipment 1 can be arranged on the place of crowd massing, such as supermarket, sales field, pharmacy of hospital, campus, bus station or railway station etc.
Fig. 2 shows the composition structure of the safety monitoring system that the utility model embodiment provides, and for convenience of explanation, illustrate only the part relevant to the utility model.
Safety monitoring system comprises on-site monitoring equipment 1, control terminal 2.
Described on-site monitoring equipment 1, for gathering the monitor message of crowd massing place current live, mainly comprises camera 11 and pick-up 12.Described camera 11 is for the current video information of collection site, and described pick-up 12 is for the current audio-frequency information of collection site.
Described control terminal 2 obtains the safe condition information of current live environment for the video information that collects according to on-site monitoring equipment 1 and audio-frequency information, and by the analysis of preset model to the safe condition information of current live environment, to realize risk class assessment current to scene in real time and early warning.
Concrete, described control terminal 2 comprises: video capture circuit 21, audio collection circuit 22, analysis module 23 and risk evaluation module 24;
Wherein, described camera 11 is connected with analysis module 23 by video capture circuit 21;
Described pick-up 12 is connected with analysis module 23 by audio collection circuit 22;
Described analysis module 23 is connected with described risk evaluation module 24.
In the present embodiment, shown video capture circuit 21 for obtaining video information from camera 11, and is transported to analysis module 23; Described audio collection circuit 22 for obtaining audio-frequency information from pick-up, and is transported to analysis module 23.Described analysis module 23 is digital signal processor DSP, for carrying out analyzing and processing to the video information received and audio-frequency information to obtain the safe condition information of current live environment, and described safe condition information is sent to risk evaluation module assesses.The safe condition information of described site environment is the safe condition influencing factor of site environment, includes but not limited to crowd density information, crowd's mobility information and sound variation information.The safe condition information of described acquisition current live environment for extracting crowd density information and crowd's mobility information of current live from video information, and can extract sound variation information from audio-frequency information.Described risk evaluation module 24 is field programmable gate array chip FPGA, for the influencing factor obtained according to analysis module 23, carry out real-time risk class assessment by preset model to current live, described risk class assessment comprises the assessment of single factor test risk class and the assessment of multifactor risk class.Described preset model is monitoring site safety risk model, set up in advance and store, can according to one or more influencing factor in the crowd massing degree at scene, mobility and on-the-spot sound detection case, the security risk current to scene carries out online evaluation, and the probability of every one-level risk class under exporting single influencing factor or multiple influencing factor.Described risk class is divided into k level from low to high, can be low-risk, compared with low-risk, average risk, high risk and excessive risk five grades or combination in any wherein.In the present embodiment, described risk evaluation module 24 also for choosing maximum probable value according to maximum membership grade principle, using the risk class corresponding to it as the risk class of current live.
As an exemplifying embodiment of the present utility model, described monitoring site safety risk model is
f:|u→Φ(V)
Wherein V is risk class, and Φ (V) is the set of the probability of every one-level risk class.
When carrying out the assessment of single factor test risk class, single influencing factor is crowd density information, is expressed as u.The video information of on-site monitoring equipment collection site, digital signal processor DSP obtains crowd density information u from the video information collected, and field programmable gate array chip FPGA calculates on-the-spot current risk class according to crowd density information, for:
u|f(u)＝R∈Φ(V)
Wherein, risk class is divided into low-risk, comparatively low-risk, average risk, high risk and excessive risk five grades, then
R＝{r
1,r
2,r
3,r
4,r
5}
Each element r in R
1 ..., 5represent the probability about i-th grade of risk class of crowd density.According to maximum membership grade principle, choose maximum probable value from R, the risk class corresponding to it is the single factor test risk evaluation result of current live about crowd density information.
When carrying out the assessment of multifactor risk class, described influencing factor is crowd density information, crowd's mobility information, sound variation information, is expressed as u
1, u
2, u
3, monitoring site safety risk model is
f:|u→Φ(V)
Wherein V is risk class, and Φ (V) is the set of the probability of every one-level risk class.
Risk class comprises low-risk, comparatively low-risk, average risk, high risk and excessive risk five grades.When carrying out the assessment of multifactor risk class, the video information of on-site monitoring equipment collection site and audio-frequency information, digital signal processor DSP obtains crowd density information u from the video information collected and audio-frequency information
1, crowd's mobility information u
2, sound variation information u
3field programmable gate array chip FPGA is according to acquisition crowd density information, crowd's mobility information and sound variation information, by monitoring site safety risk model, calculate each the risk class probability under each influencing factor independent role, then obtain the set R of the risk class probability of crowd density
1, the set R of the risk class probability of crowd's mobility
2, the set R of the risk class probability of sound variation
3.
Wherein, R
1={ r
11, r
12, r
13, r
14, r
15, R
1={ r
11, r
12, r
13, r
14, r
15, R
1={ r
11, r
12, r
13, r
14, r
15.
Field programmable gate array chip FPGA is also according to weight set A=(a
1, a
2, a
3), under calculating multifactor impact, the probability of each risk class is:
Wherein, B is the set of multifactor lower risk class probability, B
1 ..., 5for the probability of multifactor lower kth level risk class.
According to maximum membership grade principle, from B
1 ..., 5in choose the maximum risk class of probable value as the current risk class in scene.Thus complete the security risk assessment that audio-frequency information and video information combine, improve the accuracy of the Risk Monitoring to crowd massing place.
The audio-frequency information of the current live that the utility model collects according to on-site monitoring equipment and video information, analysis module obtains the safe condition information of current live environment according to audio-frequency information and video information, risk evaluation module is analyzed by the safe condition information of preset model to current live environment, to realize in real time to risk class assessment and the early warning of current live, and by conjunction with audio-frequency information and video information, improve the accuracy to the Risk Monitoring in crowd massing place, and supervisory control system is intelligent.
Fig. 3 shows the composition structure of the safety monitoring system that another embodiment of the utility model provides.For convenience of explanation, illustrate only the part now relevant to the utility model.
Described safety monitoring system comprises on-site monitoring equipment 1, control terminal 2 as shown in Fig. 2 embodiment.
Preferably, described safety monitoring system also comprises display 3, and described display 3 is connected with described risk evaluation module 24.
In the present embodiment, described display 3 is for the probability of the every one-level risk class under the single influencing factor that draws after showing risk evaluation module 24 online evaluation or multiple influencing factor, and on-the-spot current risk class.Display 3 can be chinese liquid crystal display device or light-emitting diode display.
Preferably, described safety monitoring system also comprises memory 4.Described memory 4 is connected with described on-site monitoring equipment 1, for storing the video information and audio-frequency information that on-site monitoring equipment 1 collects.
Preferably, described safety monitoring system also comprises early warning circuit 5.Described early warning circuit 5 is connected with described risk evaluation module 24, for judging whether on-the-spot current risk class exceedes default threshold value, if when on-the-spot current risk class exceedes default threshold value, send early warning signal, know on-the-spot fail safe to make the masses.The described early warning signal that sends can be to current live environment voice broadcast service risk class, crowd density and crowd's mobility information, for reference.
The audio-frequency information of the crowd massing place current live that the utility model collects according to on-site monitoring equipment and video information, analysis module obtains the safe condition information of current live environment according to audio-frequency information and video information, risk evaluation module is analyzed by the safe condition information of preset model to current live environment, to realize risk class assessment current to scene in real time and early warning, and by conjunction with audio-frequency information and video information, improve the accuracy to the Risk Monitoring in crowd massing place, and supervisory control system is intelligent.
The foregoing is only preferred embodiment of the present utility model, be not limited to the utility model.Such as, modules is carry out dividing according to function logic, but is not limited to above-mentioned division, as long as can realize corresponding function; The title of each functional module, just for the ease of distinguishing, is not limited to the present invention.In addition, each assembly in each embodiment of the embodiment of the present invention can be integrated in a module, also can be that the independent physics of each assembly exists, also can two or more Components integration in an assembly.Above-mentioned integrated assembly both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
All do within spirit of the present utility model and principle any amendment, equivalent to replace and improvement etc., all should be included within protection range of the present utility model.
Claims (4)
1. a safety monitoring system, is characterized in that, described system comprises on-site monitoring equipment and control terminal,
Wherein, described on-site monitoring equipment comprises camera and pick-up;
Described control terminal comprises video capture circuit, audio collection circuit, analysis module and risk evaluation module;
Described camera is connected with analysis module by video capture circuit;
Described pick-up is connected with analysis module by audio collection circuit;
Described analysis module is connected with described risk evaluation module;
Described analysis module is digital signal processor DSP; Described risk evaluation module is field programmable gate array chip FPGA.
2. safety monitoring system as claimed in claim 1, it is characterized in that, described system also comprises display; Described display is connected with described risk evaluation module.
3. safety monitoring system as claimed in claim 1, it is characterized in that, described system also comprises memory, and described memory is connected with described on-site monitoring equipment.
4. safety monitoring system as claimed in claim 1, it is characterized in that, described system also comprises early warning circuit, and described early warning circuit is connected with described on-site monitoring equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420096495.8U CN204046720U (en) | 2014-03-04 | 2014-03-04 | A kind of safety monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420096495.8U CN204046720U (en) | 2014-03-04 | 2014-03-04 | A kind of safety monitoring system |
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| CN204046720U true CN204046720U (en) | 2014-12-24 |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104869358A (en) * | 2015-05-19 | 2015-08-26 | 重庆大学 | Construction method for safety monitoring system |
| CN107431717A (en) * | 2015-02-06 | 2017-12-01 | 霍尼韦尔国际公司 | Apparatus and method for the automatic disposal of network security risk event |
| CN108604403A (en) * | 2015-12-15 | 2018-09-28 | 飞利浦照明控股有限公司 | Event prediction system |
| CN109922311A (en) * | 2019-02-12 | 2019-06-21 | 平安科技（深圳）有限公司 | Monitoring method, device, terminal and storage medium based on audio/video linkage |
| CN112946631A (en) * | 2021-01-28 | 2021-06-11 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for slope risk monitoring |
| CN112946631B (en) * | 2021-01-28 | 2024-07-16 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for slope risk monitoring |
-
2014
- 2014-03-04 CN CN201420096495.8U patent/CN204046720U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107431717A (en) * | 2015-02-06 | 2017-12-01 | 霍尼韦尔国际公司 | Apparatus and method for the automatic disposal of network security risk event |
| CN104869358A (en) * | 2015-05-19 | 2015-08-26 | 重庆大学 | Construction method for safety monitoring system |
| CN108604403A (en) * | 2015-12-15 | 2018-09-28 | 飞利浦照明控股有限公司 | Event prediction system |
| CN108604403B (en) * | 2015-12-15 | 2020-06-16 | 飞利浦照明控股有限公司 | Event prediction system |
| CN109922311A (en) * | 2019-02-12 | 2019-06-21 | 平安科技（深圳）有限公司 | Monitoring method, device, terminal and storage medium based on audio/video linkage |
| CN109922311B (en) * | 2019-02-12 | 2022-01-28 | 平安科技（深圳）有限公司 | Monitoring method, device, terminal and storage medium based on audio and video linkage |
| CN112946631A (en) * | 2021-01-28 | 2021-06-11 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for slope risk monitoring |
| CN112946631B (en) * | 2021-01-28 | 2024-07-16 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for slope risk monitoring |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20141224 Termination date: 20150304 |
|
| EXPY | Termination of patent right or utility model |