CN112669562A - Computer internet of things fire early warning system - Google Patents
Computer internet of things fire early warning system Download PDFInfo
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- CN112669562A CN112669562A CN202110089297.3A CN202110089297A CN112669562A CN 112669562 A CN112669562 A CN 112669562A CN 202110089297 A CN202110089297 A CN 202110089297A CN 112669562 A CN112669562 A CN 112669562A
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Abstract
The invention relates to the field of Internet of things, in particular to a computer Internet of things fire early warning system which comprises a fire parameter sensing module, a monocular vision sensor and a PC (personal computer) which are arranged in a monitoring area and are provided with LoRa wireless communication modules, wherein the PC is in wireless communication with the fire sensing module and the monocular vision sensor, the fire parameter sensing module is used for acquiring fire parameters in the monitoring area and feeding back the acquired data to the PC in real time through the LoRa wireless communication modules, the PC realizes the awakening of monocular vision in the corresponding area based on the fire parameters acquired by the fire parameter sensing module, realizes the acquisition of a fire target point image and realizes the editing and sending of a corresponding early warning short message based on the fire target point image fed back by the monocular vision sensor. The invention can quickly find out the fire or the fire safety hidden trouble in the monitoring area, and can quickly realize the control and the elimination of the fire or the fire safety hidden trouble.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a computer Internet of things fire early warning system.
Background
Today, as social wealth is accumulated continuously and people's life value is improved continuously, how to prevent fire from damaging social wealth and people's life and property safety has become a hot point of current social management.
The research of fire detection aims to accurately discover the hidden danger of the fire as early as possible and give an alarm in time so as to take corresponding measures to control the occurrence and development of the fire. The present fire automatic alarm system in China is mainly applied to large warehouses, markets, high-grade office buildings, hotels and some important government military places, adopts a bus type alarm control system with a higher intelligent degree and a centralized acquisition and regional alarm control mode, is a single fire automatic alarm detection device arranged in some residential areas and commercial buildings, adopts a single sensor in the interior of the alarm detection device, has low reliability, and is easy to generate false alarm and missed alarm.
Disclosure of Invention
Aiming at the problems, the invention provides a computer Internet of things fire early warning system which can quickly find out fire or fire safety hidden dangers existing in a monitoring area and can quickly realize the control and removal of the fire or the fire safety hidden dangers.
In order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides a computer thing networking conflagration early warning system, including arranging the conflagration parameter perception module that is equipped with loRa wireless communication module in the monitoring area, monocular vision sensor and with conflagration perception module and monocular vision sensor realization wireless communication's PC, conflagration parameter perception module is used for carrying out the collection of the interior conflagration parameter of monitoring area, and feed back the data of gathering to PC through loRa wireless communication module in real time, the PC realizes the awakening of the interior monocular vision of corresponding area based on the conflagration parameter that conflagration parameter perception module gathered, realize the collection of conflagration target point image, and the conflagration target point image realization based on monocular vision sensor feedback corresponds the editor's of early warning SMS and sends.
Furthermore, the monocular vision sensor is arranged in the monitoring area in an adhering mode, and the image acquisition range of the monocular vision sensor covers the whole monitoring area.
Furthermore, the fire parameter sensing module is internally provided with a heat-carrying flow sensor, an ion smoke detector and an electrochemical gas sensor.
Furthermore, the PC is internally provided with a data post-processing system which consists of a data storage module, a monocular vision sensor awakening module and a fire early warning module, wherein the monocular vision sensor awakening module is used for awakening the monocular vision sensor in the corresponding area according to the received positioning information carried by the fire parameters and is also used for awakening the target monocular vision sensor according to an awakening request input by the man-machine interaction module; the fire early warning module can automatically complete the analysis of the fire parameters and the fire target point images, during the analysis, the disaster recognition is realized according to the received fire parameters and the fire target point images and the preset fuzzy neural network model, and the disaster recognition result is sent to the target mobile terminal through the GSM early warning module.
Further, the fire early warning module acquires the grade of the current fire, the category of the fire, surrounding danger factors and position information of people through identifying the fire parameters and the images of the fire target points.
Furthermore, the fire early warning module realizes the identification of the fire target point image based on a DSSD _ Inception _ V3_ coco model to realize the identification of the inner flame covered surface, surrounding danger factors and people, realizes the calculation of the area of the flame covered surface based on the length-width ratio of the connected component external rectangle, and realizes the acquisition of the fire target point, the surrounding danger factors and the position information of people by taking the preset reference object positioning information as the reference.
Furthermore, the fire early warning module firstly internally carries the early warning short message of the disaster identification result and sends the early warning short message to the management terminal, the management terminal can realize the butt joint of the fire alarm receiving center by clicking the alarm link carried in the early warning short message, so that the fire alarm is realized, and when the alarm is given, the disaster identification result is automatically fed back to the corresponding fire alarm receiving center in a voice playing mode.
Further, a feedback monitoring module is carried in the fire early warning module and used for monitoring a signal fed back by the management terminal after clicking an alarm link carried in the early warning short message, and if the signal is not received within a preset time, the GSM communication module is started to directly send the early warning short message to the fire alarm receiving center.
The invention has the following beneficial effects:
the fire disaster or fire hazard safety hazard existing in the monitoring area can be found quickly, the acquisition of the current fire disaster grade, the category to which the fire disaster belongs, surrounding danger factors and the position information of people is realized, and the corresponding early warning short message is generated, so that the control and the removal of the fire disaster or the fire hazard safety hazard can be realized quickly.
Drawings
Fig. 1 is a system block diagram of a computer internet of things fire early warning system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a computer internet of things fire early warning system, which includes a fire parameter sensing module equipped with a LoRa wireless communication module, a monocular vision sensor, and a PC that realizes wireless communication with the fire sensing module and the monocular vision sensor, the fire parameter sensing module is configured to collect fire parameters in a monitoring area, and feed back the collected data to the PC in real time through the LoRa wireless communication module, the PC realizes the awakening of monocular vision in a corresponding area based on the fire parameters collected by the fire parameter sensing module, realizes the collection of images of fire target points, and realizes the editing and sending of corresponding early warning messages based on the images of the fire target points fed back by the monocular vision sensor.
In this embodiment, the monocular vision sensors are arranged in the monitoring area in an adhering manner, the image acquisition range of the monocular vision sensors covers the whole monitoring area, all the monocular vision sensors are in a sleep state in a normal state, each monocular vision sensor is configured with a unique awakening key, and the awakening key is automatically and randomly updated once every time the monocular vision sensor is awakened.
In this embodiment, the fire parameter sensing module includes a heat-carrying flow sensor, an ion-sensitive smoke detector, and an electrochemical gas sensor.
In this embodiment, the PC is loaded with a data post-processing system, which is composed of a data storage module, a monocular vision sensor wake-up module, and a fire early warning module, where the monocular vision sensor wake-up module wakes up the monocular vision sensor in the corresponding area according to the received positioning information carried by the fire parameter, and is further configured to wake up the target monocular vision sensor according to a wake-up request entered by the human-computer interaction module; the fire early warning module can automatically complete the analysis of the fire parameters and the fire target point images, during the analysis, the disaster recognition is realized according to the received fire parameters and the fire target point images and the preset fuzzy neural network model, and the disaster recognition result is sent to the target mobile terminal through the GSM early warning module.
In this embodiment, the fire identification result includes the location of the fire point, the current fire level, the category to which the fire belongs, the surrounding risk factors, and the location information of the person
In this embodiment, the fire early warning module obtains the level of the current fire, the category to which the fire belongs, surrounding risk factors, and location information of people by identifying the fire parameter and the image of the fire target point.
In this embodiment, the fire early warning module identifies an image of a fire target point based on a DSSD _ inclusion _ V3_ coco model to identify an inner flame covered surface, surrounding risk factors, and people, calculates an area of the flame covered surface based on an aspect ratio of a connected component circumscribed rectangle, and acquires information of the fire target point, the surrounding risk factors, and the position of people based on preset reference object positioning information.
In this embodiment, the fire early warning module firstly internally carries the early warning short message of the disaster identification result and sends the early warning short message to the management terminal, and the management terminal can realize the butt joint of the fire alarm receiving center by clicking the alarm link carried in the early warning short message, so as to realize the fire alarm, and when alarming, the disaster identification result is automatically fed back to the corresponding fire alarm receiving center in a voice playing mode.
In this embodiment, the fire early warning module is internally provided with a feedback monitoring module, which is used for monitoring a signal fed back by the management terminal after clicking an alarm link loaded in the early warning short message, and if the signal is not received within a preset time, the GSM communication module is started to directly send the early warning short message to the fire alarm receiving center. When the fire alarm is sent, the GSM communication module automatically enters an alarm link carried in the early warning short message to realize the butt joint of a fire alarm receiving center, and a fire identification result is automatically fed back to the corresponding fire alarm receiving center in a voice playing mode to realize the fire alarm.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. A computer internet of things fire early warning system is characterized in that: the fire disaster early warning system comprises a fire disaster parameter sensing module arranged in a monitoring area and provided with a LoRa wireless communication module, a monocular vision sensor and a PC (personal computer) realizing wireless communication with the fire disaster sensing module and the monocular vision sensor, wherein the fire disaster parameter sensing module is used for collecting fire disaster parameters in the monitoring area and feeding collected data back to the PC in real time through the LoRa wireless communication module, the PC realizes awakening of monocular vision in a corresponding area based on the fire disaster parameters collected by the fire disaster parameter sensing module, the collection of images of fire target points is realized, and the edition and the sending of corresponding early warning short messages are realized based on the images of the fire target points fed back by the monocular vision sensor.
2. The computer internet of things fire early warning system of claim 1, wherein: the monocular vision sensor is arranged in the monitoring area in an adhering mode, and the image acquisition range of the monocular vision sensor covers the whole monitoring area.
3. The computer internet of things fire early warning system of claim 1, wherein: the fire parameter sensing module comprises a heat-carrying flow sensor, an ion smoke detector and an electrochemical gas sensor.
4. The computer internet of things fire early warning system of claim 1, wherein: the PC is internally provided with a data post-processing system which consists of a data storage module, a monocular vision sensor awakening module and a fire early warning module, wherein the monocular vision sensor awakening module is used for awakening the monocular vision sensor in the corresponding area according to the received positioning information carried by the fire parameters and is also used for awakening the target monocular vision sensor according to an awakening request input by the human-computer interaction module; the fire early warning module can automatically complete the analysis of the fire parameters and the fire target point images, during the analysis, the disaster recognition is realized according to the received fire parameters and the fire target point images and the preset fuzzy neural network model, and the disaster recognition result is sent to the target mobile terminal through the GSM early warning module.
5. The computer internet of things fire early warning system of claim 4, wherein: the fire early warning module acquires the grade of the current fire, the category of the fire, surrounding danger factors and position information of people through identifying the fire parameters and the images of the fire target points.
6. The computer internet of things fire early warning system of claim 4, wherein: the fire early warning module realizes the identification of an image of a fire target point based on a DSSD-Inclusion-V3-coco model to realize the identification of an inner flame-carrying covering surface, surrounding danger factors and people, realizes the calculation of the area of the flame covering surface based on the length-width ratio of a connected component external rectangle, and realizes the acquisition of the fire target point, the surrounding danger factors and the position information of people by taking preset reference object positioning information as a reference.
7. The computer internet of things fire early warning system of claim 4, wherein: the fire early warning module firstly internally carries the early warning short message of the disaster identification result and sends the early warning short message to the management terminal, the management terminal can realize the butt joint of the fire alarm receiving center by clicking the alarm link internally carried by the early warning short message, so that the fire alarm is realized, and when the alarm is given, the disaster identification result is automatically fed back to the corresponding fire alarm receiving center in a voice playing mode.
8. The computer internet of things fire early warning system of claim 7, wherein: and the fire early warning module is internally provided with a feedback monitoring module for monitoring a signal fed back by the management terminal after clicking an alarm link loaded in the early warning short message, and if the signal is not received within the preset time, the GSM communication module is started to directly send the early warning short message to the fire alarm receiving center.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115294718A (en) * | 2022-08-09 | 2022-11-04 | 九江职业技术学院 | Fire early warning system based on multisource data fusion |
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2021
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| US20090096620A1 (en) * | 2007-10-16 | 2009-04-16 | Chung-Yi Kuo | Fire alarming device |
| CN101656012A (en) * | 2008-08-19 | 2010-02-24 | 侯荣琴 | Intelligent image smog and flame detector and flame detection method |
| CN102006352A (en) * | 2009-08-31 | 2011-04-06 | 比亚迪股份有限公司 | Alarm controller, alarm method and alarm system for mobile terminal |
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