CN113163158A - Intelligent network monitoring system - Google Patents
Intelligent network monitoring system Download PDFInfo
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- CN113163158A CN113163158A CN202110131922.6A CN202110131922A CN113163158A CN 113163158 A CN113163158 A CN 113163158A CN 202110131922 A CN202110131922 A CN 202110131922A CN 113163158 A CN113163158 A CN 113163158A
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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
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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Abstract
The invention provides an intelligent network monitoring system, and relates to the technical field of monitoring. The intelligent network monitoring system comprises an acquisition module, a processing module, a server module and a monitoring module. The method comprises the steps of collecting field information, processing the collected information, extracting required parameter information, inputting the parameter information into a built-in scene simulation model to obtain a simulation result, and monitoring the simulation result through a monitoring module to achieve the effect of monitoring the field. Simultaneously, the simulation result is displayed through the monitoring module to give early warning to monitoring personnel, so that the monitoring system can play a role in early warning, the monitoring personnel can prepare in advance or adjust according to the early warning, safety accidents are avoided, and the safety of people is further guaranteed.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to an intelligent network monitoring system.
Background
At present, a monitoring system can only react when an accident occurs, and the accident which can occur cannot be judged in advance according to the field condition, so that early warning is provided.
Disclosure of Invention
The invention aims to provide an intelligent network monitoring system, which is used for solving the problem that the monitoring system in the prior art cannot early warn.
The embodiment of the application provides an intelligent network monitoring system, which comprises an acquisition module, a processing module, a server module and a monitoring module;
the acquisition module is used for acquiring information;
the processing module is connected with the acquisition module and used for extracting parameter information according to the information;
the server module is connected with the processing module and used for inputting the parameter information into a scene simulation model built in the server module to generate a simulation result;
and the monitoring module is connected with the server module and used for receiving the simulation result.
In the implementation process, the required parameter information is extracted by collecting the field information and processing the collected information, the parameter information is input into the built-in scene simulation model to obtain a simulation result, and the simulation result is monitored by the monitoring module to achieve the effect of monitoring the field. The scene simulation model is established based on the previous accident occurrence activity, the scene simulation model can simulate a scene on site, simulation can be carried out only by inputting corresponding parameter information, a simulation result is obtained, the simulation result is displayed through the monitoring module and gives early warning to monitoring personnel, so that the monitoring system can play a role of early warning, the monitoring personnel can prepare or adjust in advance according to the early warning, the occurrence of safety accidents is avoided, and the safety of people is further guaranteed.
In some embodiments of the present invention, the system further comprises a terminal module;
and the terminal module is connected with the monitoring module to receive the instruction sent by the monitoring module according to the simulation result.
In the implementation process, the monitoring module generates early warning information according to the received simulation result, the terminal module receives the early warning information and timely makes adjustment and preparation, potential safety hazards are checked in advance, and safety accidents are avoided, so that the safety of a site is further guaranteed.
In some embodiments of the invention, the instructions are voice instructions and/or text instructions.
In some embodiments of the invention, the parameter information includes a number of people, a category of people.
In some embodiments of the invention, the system further comprises a rescue module connected with the monitoring module, the monitoring module generates a rescue instruction according to the simulation result, and the rescue module sends the rescue request information according to the rescue instruction.
In the implementation process, the monitoring module sends the rescue instruction to the rescue module after receiving the simulation result by arranging the rescue module, so that the rescue is timely notified according to the field condition, and the life safety of people is ensured.
In some embodiments of the invention, the server module is a cloud server.
In the implementation process, the cloud server can be used for paying according to needs, so that the cost can be greatly saved, the cloud server adopts a centralized remote management platform, and multi-level business backup is performed, so that the safety of data is ensured.
In some embodiments of the invention, the processing module is connected to the cloud server via a network.
In some embodiments of the invention, the acquisition module comprises a camera.
In some embodiments of the invention, the processing module comprises an image processing component and a video processing component.
In the implementation process, the image processing assembly and the video processing assembly are arranged, so that the system can acquire corresponding parameter information through pictures and also can acquire corresponding parameter information through videos, and the system is wider in coverage.
In some embodiments of the present invention, the terminal module is a mobile terminal.
In the implementation process, the terminal module is a mobile terminal, so that the field on-duty policemen can receive messages at any time, and the working efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an intelligent network monitoring system according to an embodiment of the present invention;
fig. 2 is a block diagram of a server module according to an embodiment of the present invention.
Icon: 1-an acquisition module; 2-a processing module; 3-a server module; 4-a monitoring module; 5-an image processing component; 6-video processing component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that the terms "upper", "lower", "inner", "outer", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally found in use of products of the application, and are used only for convenience in describing the present application and for simplification of description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present application.
In the description of the present application, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "disposed" and "connected" are to be interpreted broadly, e.g., as being either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a schematic diagram of an intelligent network monitoring system according to an embodiment of the present invention, where the intelligent network monitoring system includes an acquisition module, a processing module 2, a server module 3, and a monitoring module 4;
the acquisition module 1 is used for acquiring information; the information acquisition can be manually inputting related information, such as manually inputting people number information, manually uploading picture information and the like; the camera can also be an automatic collection device, wherein the automatic collection device can be completed by a camera or a sound pick-up, and the camera comprises a network camera, a spherical camera, a gun-shaped camera and the like. In a large meeting place, a plurality of cameras are usually installed to monitor the conditions in the field.
The processing module 2 is connected with the acquisition module 1 and used for extracting parameter information according to the information; parameter information can be extracted from the picture or the video, and the parameter information comprises the number of people, the crowd category, the license plate number, the number of vehicles and the like. The population category includes the elderly, children, young adults, etc. The parameter information also includes face information.
For example, in a large-scale event, by recognizing a scene picture, it is possible to obtain that the number of persons participating in the event is 200 and the category of persons participating in the event is elderly. At a vehicle exhibition site, the number of people at the site is 600, and the number of vehicles is 100 by identifying video information at the site.
The server module 3 is connected with the processing module 2 and used for inputting the parameter information into a scene simulation model built in the server module 3 to generate a simulation result;
the scene simulation model is a model which is analyzed and generated according to a plurality of large-scale activity sites with accidents in the past, and which kind of accidents occur and the probability of the accidents can be obtained by outputting parameter information to the scene simulation model. The larger the number of large activity sites with accidents, the closer the simulation result of the scene simulation model is to the actual situation. For example, by analyzing 1000 previously occurring fighting events, the probability of the fighting event occurring is 60% when the crowd category is young and the number of people is 500 or more, and by analyzing 2000 previously occurring stepping events, the probability of the fighting event occurring is 90% when the crowd category is young and the number of people is 200 or more.
For example, the number of people in the scene is 200, the crowd category is young, and the simulation result obtained by inputting the information into the scene simulation model is as follows: the probability of an fighting event is 80%, and the probability of a stepping event is 10%.
For example, the number of people in the scene is 500 and the type of people is children by acquiring the scene information, and the simulation result obtained by inputting the information into the scene simulation model is as follows: the probability of an fighting event is 10%, and the probability of a stepping event is 90%.
The server module 3 is also provided with a criminal information base, and the criminal information base contains the known criminal information, including picture information, identity information and criminal items. The face information extracted by the processing module 2 is compared with the criminal information base, so that criminals can be found out.
For example, 100 pieces of face information acquired by image processing are compared with a criminal information base to find out that 3 of the 100 persons are persons who have previously made a theft crime, and the information acquired by the 3 persons are respectively: first, criminal stealing in 2008, 5 month and 15 days; second, criminal theft in 1998 in 8 month and 7 days; third, criminal stealing on 9/11/2003.
For example, by comparing 500 pieces of face information acquired through image processing with the criminal information base, 2 of the 500 people are found to have a previous fighting behavior, and the acquired information of the 2 people are respectively: ding, fighting with Wu in 3/15/2011; wu, in 2011, 3, 15, Bu with Ding.
And the monitoring module 4 is connected with the server module 3 and used for receiving the simulation result. The monitoring module 4 comprises a processor and a plurality of display screens, wherein the processor is used for receiving the simulation result and displaying the simulation result in the display screens, and the simulation result can be subjected to color identification according to the probability, so that the attention of a user is reminded.
For example, the simulation result obtained by the scene simulation model is: the probability of the fighting event is 80%, the probability of the trampling event is 10%, the monitoring module 4 is used for identifying the message with the probability of the fighting event being 80% in red, and the probability of the trampling event being 10% in gray, so that monitoring personnel can be reminded of paying attention.
For example, the simulation result obtained by the scene simulation model is: the probability of the trample event is 60%, the probability of the fighting event is 10%, the monitoring module 4 is used for identifying the message with the probability of the fighting event being 10% by using the gray mark, and the probability of the trample event being 60% by using the yellow mark, so that the monitoring personnel can be reminded of paying attention.
Gather module 1 and still directly link to each other with control module 4, directly take place the information of gathering for gathering module 1, gather module 1 and show information display.
In the implementation process, the required parameter information is extracted by acquiring the site information and processing the acquired information, the parameter information is input into the built-in scene simulation model to obtain a simulation result, and the simulation result is monitored by the monitoring module 4 to achieve the effect of monitoring the site. The scene simulation model is established based on the previous accident occurrence activity, the scene simulation model can simulate a scene on site, simulation can be carried out only by inputting corresponding parameter information, a simulation result is obtained, the simulation result is displayed through the monitoring module 4 and gives early warning to monitoring personnel, so that the monitoring system can play a role of early warning, the monitoring personnel can prepare or adjust in advance according to the early warning, the occurrence of safety accidents is avoided, and the safety of people is further guaranteed.
The processing module 2 includes an image processing component 5 and a video processing component 6, please refer to fig. 2, and fig. 2 is a block diagram of a server module 3 according to an embodiment of the present invention.
And the image processing component 5 comprises a first processor, and the first processor comprises a first processing module, a first face recognition module and a first face category library module. The first face recognition module is used for extracting the face information in the picture, the first face category library is used for recognizing the category of the crowd according to the extracted face information, and the number of people can be calculated by the first processing module according to the face information. The first processor can further comprise a grabbing module, license plate number information in the picture information is extracted through the grabbing module, and meanwhile the first processing module can calculate the number of the vehicles.
And the video processing component 6 comprises a second processor, and the second processor comprises a second processing module, a video analysis module, a second face recognition module and a second face category library module. The video analysis module extracts face information appearing in the video, the second face category library is used for identifying the category of people according to the extracted face information, and the second processing module can calculate the number of people according to the face information. The second processor can also comprise a grabbing module, license plate number information in the picture information is extracted through the grabbing module, and meanwhile the second processing module can calculate the number of vehicles.
The intelligent network monitoring system also comprises a terminal module;
and the terminal module is connected with the monitoring module 4 and used for receiving the instruction sent by the monitoring module 4 according to the simulation result. The terminal module comprises a mobile terminal, such as a mobile phone, an interphone and the like. The monitoring module 4 generates an instruction according to the received simulation result and sends the instruction to the terminal module, wherein the instruction can be a voice instruction and/or a character instruction.
For example, the simulation result received by the monitoring module 4 is that the probability of the fighting event is 80%, the monitoring module 4 generates a text instruction according to the result, that is, whether the people please notice a conflict or not, and sends the text instruction to the policeman on duty through the network, and the policeman notices the scene situation in time after receiving the information through the mobile phone. The simulation result received by the monitoring module 4 is that the probability of the fire incident to happen is 90%, the monitoring module 4 generates a voice command according to the result, the voice command is 'please notice the fire occurrence', the voice command is sent to a policeman on duty on site through an interphone, and the policeman can timely investigate the situation of the fire source on site after receiving the information.
In the implementation process, the monitoring module 4 generates early warning information according to the received simulation result, the terminal module receives the early warning information and timely makes adjustment and preparation, potential safety hazards are checked in advance, and safety accidents are avoided, so that the safety of a site is further guaranteed. The terminal module makes on-the-spot policeman on duty can receive the message at any time for mobile terminal, has improved work efficiency.
The intelligent network monitoring system further comprises a rescue module, the rescue module is connected with the monitoring module 4, the monitoring module 4 generates a rescue instruction according to the simulation result, and the rescue module sends request rescue information according to the rescue instruction. The rescue module comprises a 119 fire alarm call, a 120 ambulance call and the like.
For example, the simulation result received by the monitoring module 4 is "a stepping event has occurred", the monitoring module 4 sends a command to dial 120 in combination with the live video, and the rescue module receives the command and dials 120. The simulation result received by the monitoring module 4 is that "a fire incident has occurred", the monitoring module 4 sends a call 119 instruction in combination with the live video, and the rescue module receives the call 119 instruction.
In the implementation process, the monitoring module 4 sends the rescue instruction to the rescue module after receiving the simulation result by arranging the rescue module, so that the rescue can be timely notified when the rescue is needed according to the field condition, and the life safety of people is ensured.
The server module 3 is a cloud server. The server module 3 includes a physical server and a cloud server. The processing module 2 is connected to the cloud server through a network.
The cloud server (ECS) is a computing Service with simplicity, high efficiency, safety, reliability, and flexible processing capability. The management mode is simpler and more efficient than that of a physical server. A user can rapidly create or release any plurality of cloud servers without purchasing hardware in advance. The cloud server includes a public cloud and a private cloud.
The private cloud may be built by ITs own IT department or by a cloud provider. In this "hosted private" model, infrastructure is installed, configured, and operated by cloud computing providers to support private clouds within a corporate enterprise data center. This model gives companies an extremely high level of control over cloud resource usage, while bringing the expertise required to establish and operate the environment
The public cloud generally refers to a cloud which can be used and is provided by a third-party provider for a user, the public cloud can be generally used through a network and can be free or low in cost, and the core attribute of the public cloud is a shared resource service. There are many instances of such a cloud that can provide services throughout the open public network today.
In the implementation process, the cloud server can be used for paying according to needs, so that the cost can be greatly saved, the cloud server adopts a centralized remote management platform, and multi-level business backup is performed, so that the safety of data is ensured.
To sum up, the intelligent network monitoring system provided in the embodiment of the present application extracts the required parameter information by acquiring the site information and processing the acquired information, inputs the parameter information into the built-in scene simulation model to obtain a simulation result, and then monitors the simulation result through the monitoring module 4 to achieve the effect of monitoring the site. The scene simulation model is established based on the previous accident occurrence activity, the scene simulation model can simulate a scene on site, simulation can be carried out only by inputting corresponding parameter information, a simulation result is obtained, the simulation result is displayed through the monitoring module 4 and gives early warning to monitoring personnel, so that the monitoring system can play a role of early warning, the monitoring personnel can prepare or adjust in advance according to the early warning, the occurrence of safety accidents is avoided, and the safety of people is further guaranteed.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An intelligent network monitoring system is characterized by comprising an acquisition module, a processing module, a server module and a monitoring module;
the acquisition module is used for acquiring information;
the processing module is connected with the acquisition module and used for extracting parameter information according to the information;
the server module is connected with the processing module and used for inputting the parameter information into a scene simulation model built in the server module to generate a simulation result;
and the monitoring module is connected with the server module and is used for receiving the simulation result.
2. The intelligent network monitoring system of claim 1, further comprising a terminal module;
and the terminal module is connected with the monitoring module to receive an instruction sent by the monitoring module according to the simulation result.
3. The intelligent network monitoring system of claim 2, wherein the instructions are voice instructions and/or text instructions.
4. The intelligent network monitoring system of claim 1, wherein the parameter information comprises a number of people, a category of people.
5. The system according to claim 1, further comprising a rescue module connected to the monitoring module, wherein the monitoring module generates a rescue instruction according to the simulation result, and the rescue module sends a rescue request message according to the rescue instruction.
6. The intelligent network monitoring system of claim 1, wherein the server module is a cloud server.
7. An intelligent network monitoring system according to claim 6, wherein the processing module is connected to the cloud server via a network.
8. The intelligent network monitoring system of claim 1, wherein the collection module comprises a camera.
9. The intelligent network monitoring system of claim 1, wherein the processing module comprises an image processing component and a video processing component.
10. The intelligent network monitoring system of claim 2, wherein the terminal module is a mobile terminal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110131922.6A CN113163158A (en) | 2021-01-30 | 2021-01-30 | Intelligent network monitoring system |
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| CN202110131922.6A CN113163158A (en) | 2021-01-30 | 2021-01-30 | Intelligent network monitoring system |
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| CN108665691A (en) * | 2018-08-22 | 2018-10-16 | 张菁菁 | A kind of system and method for the early warning and water conservancy diversion of the anti-swarm and jostlement of intelligence |
| CN109218667A (en) * | 2018-09-08 | 2019-01-15 | 合刃科技（武汉）有限公司 | It is a kind of to use public place safety pre-warning system and method |
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2021
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| CN101795395A (en) * | 2009-02-04 | 2010-08-04 | 深圳市先进智能技术研究所 | System and method for monitoring crowd situation |
| CN106303403A (en) * | 2015-06-12 | 2017-01-04 | 中国人民公安大学 | Supervising device presetting bit setting, changing method and system |
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