CN110610590A - Intelligent safety monitoring system based on big data calculation - Google Patents
Intelligent safety monitoring system based on big data calculation Download PDFInfo
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- CN110610590A CN110610590A CN201910901342.3A CN201910901342A CN110610590A CN 110610590 A CN110610590 A CN 110610590A CN 201910901342 A CN201910901342 A CN 201910901342A CN 110610590 A CN110610590 A CN 110610590A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
- G08B19/005—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow combined burglary and fire alarm systems
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Abstract
The invention discloses an intelligent safety monitoring system based on big data calculation, which comprises a data processing module, and a people flow detection module, a smoke detection module, a temperature detection module, an escape navigation module, a mobile display module, a mobile positioning module and a voice output module which are connected with the data processing module, wherein the escape navigation module, the mobile display module, the mobile positioning module and the voice output module are all taken by a user by taking a portable terminal as a carrier. The invention is based on big data calculation and processing, can effectively improve the escape rate, can analyze a better escape route in real time according to the surrounding conditions during the waiting rescue time, and can help the masses escape from the fire scene at the first time, thereby greatly reducing the workload of fire fighters, improving the rescue quality and fully ensuring the life safety of the masses.
Description
Technical Field
The invention belongs to the field of artificial intelligence, and particularly relates to an intelligent safety monitoring system based on big data calculation.
Background
In hot summer, due to negligence of workers or over-high temperature, fire disasters caused by explosion of electric appliances and the like frequently occur, no person can calmly think of an escape route and cannot know the fire conditions in other places due to confusion of the personnel when the fire occurs, and if the person conducts the fire in a trade, the person may suffer greater hurry and needs time to wait for rescue. However, if in the practice of waiting for rescue, the intelligent system monitors all places and provides a safer escape route, which greatly reduces casualty conditions, so how to provide an intelligent safety monitoring system becomes a technical problem to be solved urgently.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides an intelligent safety monitoring system based on big data calculation.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
an intelligent safety monitoring system based on big data calculation comprises a data processing module, a people flow detection module, a smoke detection module, a temperature detection module, an escape navigation module, a mobile display module, a mobile positioning module and a voice output module, wherein the people flow detection module, the smoke detection module, the temperature detection module, the escape navigation module, the mobile display module, the mobile positioning module and the voice output module are connected with the data processing module;
the data processing module is used for receiving and processing data information of each module in the system;
the people flow detection module is used for detecting the people flow at each safety outlet in real time, and forming a real-time people flow value to be fed back to the data processing module;
the smoke detection module is used for detecting the smoke quantity at each safety outlet in real time and forming a real-time smoke quantity value to be fed back to the data processing module;
the temperature detection module is used for detecting the area temperature of each safety outlet in real time and forming a real-time area temperature value to be fed back to the data processing module;
the escape navigation module is used for providing navigation recommended routes for a user and each safety exit, and simultaneously displaying a real-time people flow value, a real-time smoke value and a real-time regional temperature value at each safety exit in sequence;
the mobile display module is used for displaying route information at a safety exit in real time after a user selects a navigation recommended route;
the mobile positioning module is used for collecting the real-time position information of the user and feeding the real-time position information back to the data processing module;
the voice output module is used for voice broadcasting of the route information after the user selects the navigation recommended route.
Furthermore, the escape navigation module, the mobile display module, the mobile positioning module and the voice output module all use a mobile phone APP as a data carrier.
Furthermore, the data processing module is also connected with an early warning module, the early warning module is used for recommending an optimal navigation route in real time, and the optimal navigation route takes a safety exit with the lowest real-time people flow value, the lowest real-time smoke volume value and the lowest real-time area temperature value as a key point.
Furthermore, the escape navigation module, the mobile display module, the mobile positioning module, the voice output module and the data processing module are all connected through a local area network in a data communication manner.
The invention has the beneficial effects that:
the invention is based on big data calculation and processing, can effectively improve the escape rate, can analyze a better escape route in real time according to the surrounding conditions during the waiting rescue time, and can help the masses escape from the fire scene at the first time, thereby greatly reducing the workload of fire fighters, improving the rescue quality and fully ensuring the life safety of the masses.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a block diagram of the system architecture of 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.
As shown in fig. 1, an intelligent safety monitoring system based on big data calculation includes a data processing module, and a people flow rate detection module, a smoke detection module, a temperature detection module, an escape navigation module, a mobile display module, a mobile positioning module, and a voice output module connected to the data processing module, wherein the escape navigation module, the mobile display module, the mobile positioning module, and the voice output module are all carried by a user by using a portable terminal as a carrier;
the data processing module is used for receiving and processing data information of each module in the system; the people flow detection module is used for detecting the people flow at each safety outlet in real time, and forming a real-time people flow value to be fed back to the data processing module; the smoke detection module is used for detecting the smoke quantity at each safety outlet in real time and forming a real-time smoke quantity value to be fed back to the data processing module; the temperature detection module is used for detecting the area temperature of each safety outlet in real time and forming a real-time area temperature value to be fed back to the data processing module; the escape navigation module is used for providing navigation recommended routes for a user and each safety exit, and simultaneously displaying a real-time people flow value, a real-time smoke value and a real-time regional temperature value at each safety exit in sequence; the mobile display module is used for displaying the route information at the safety exit in real time after the user selects the navigation recommended route; the mobile positioning module is used for collecting the real-time position information of the user and feeding the real-time position information back to the data processing module; the voice output module is used for voice broadcasting of the route information after the user selects the navigation recommended route.
Wherein, the navigation module of fleing, remove the display module, remove the orientation module, voice output module all uses cell-phone APP as the data carrier, data processing module still is connected with the early warning module, this early warning module is used for recommending optimum navigation route in real time, this optimum navigation route is minimum with real-time people flow value, real-time smoke volume value is minimum, the safety exit that real-time regional temperature value is minimum is the key, the navigation module of fleing, remove the display module, remove the orientation module, all carry out data communication through the LAN between voice output module and the data processing module and connect.
The invention is based on big data calculation and processing, can effectively improve the escape rate, can analyze a better escape route in real time according to the surrounding conditions during the waiting rescue time, and can help the masses escape from the fire scene at the first time, thereby greatly reducing the workload of fire fighters, improving the rescue quality and fully ensuring the life safety of the masses.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (4)
1. The utility model provides an intelligent security monitoring system based on big data calculation which characterized in that: the system comprises a data processing module, and a people flow detection module, a smoke detection module, a temperature detection module, an escape navigation module, a mobile display module, a mobile positioning module and a voice output module which are connected with the data processing module, wherein the escape navigation module, the mobile display module, the mobile positioning module and the voice output module are all taken by a user by taking a portable terminal as a carrier;
the data processing module is used for receiving and processing data information of each module in the system;
the people flow detection module is used for detecting the people flow at each safety outlet in real time, and forming a real-time people flow value to be fed back to the data processing module;
the smoke detection module is used for detecting the smoke quantity at each safety outlet in real time and forming a real-time smoke quantity value to be fed back to the data processing module;
the temperature detection module is used for detecting the area temperature of each safety outlet in real time and forming a real-time area temperature value to be fed back to the data processing module;
the escape navigation module is used for providing navigation recommended routes for a user and each safety exit, and simultaneously displaying a real-time people flow value, a real-time smoke value and a real-time regional temperature value at each safety exit in sequence;
the mobile display module is used for displaying route information at a safety exit in real time after a user selects a navigation recommended route;
the mobile positioning module is used for collecting the real-time position information of the user and feeding the real-time position information back to the data processing module;
the voice output module is used for voice broadcasting of the route information after the user selects the navigation recommended route.
2. The intelligent safety monitoring system based on big data calculation of claim 1, wherein: the escape navigation module, the mobile display module, the mobile positioning module and the voice output module all use a mobile phone APP as a data carrier.
3. The intelligent safety monitoring system based on big data calculation of claim 1, wherein: the data processing module is also connected with an early warning module, the early warning module is used for recommending an optimal navigation route in real time, and the optimal navigation route is focused on a safe outlet with the lowest real-time people flow value, the lowest real-time smoke value and the lowest real-time area temperature value.
4. The intelligent safety monitoring system based on big data calculation of claim 1, wherein: the escape navigation module, the mobile display module, the mobile positioning module, the voice output module and the data processing module are all connected in a data communication mode through a local area network.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910901342.3A CN110610590A (en) | 2019-09-24 | 2019-09-24 | Intelligent safety monitoring system based on big data calculation |
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| CN201910901342.3A CN110610590A (en) | 2019-09-24 | 2019-09-24 | Intelligent safety monitoring system based on big data calculation |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111803850A (en) * | 2020-07-02 | 2020-10-23 | 广州新利堡消防工程企业有限公司 | Integrated circuit control system for fire engineering |
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| CN105719011A (en) * | 2016-01-13 | 2016-06-29 | 天津中科智能识别产业技术研究院有限公司 | Escape path planning method and system based on mobile terminal |
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| US20090030551A1 (en) * | 2007-07-25 | 2009-01-29 | Thomas Kent Hein | Method and system for controlling a mobile robot |
| CN103312875A (en) * | 2012-03-12 | 2013-09-18 | 联想(北京)有限公司 | Method and apparatus for displaying navigation map on mobile terminal |
| CN105617550A (en) * | 2014-11-06 | 2016-06-01 | 安徽辰安消防科技有限公司 | Intelligent personnel evacuation navigation system based on wireless fidelity Wifi |
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Application publication date: 20191224 |