CN209962382U - Intelligent fire detection system - Google Patents
Intelligent fire detection system Download PDFInfo
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- CN209962382U CN209962382U CN201920314702.5U CN201920314702U CN209962382U CN 209962382 U CN209962382 U CN 209962382U CN 201920314702 U CN201920314702 U CN 201920314702U CN 209962382 U CN209962382 U CN 209962382U
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Abstract
The utility model provides an intelligent fire detection system, which comprises a plurality of groups of flame detectors, an information processing unit, a PTZ camera and an upper computer monitoring center; each group of flame detectors are arranged in the monitored area in a grid shape and used for acquiring flame data information of different areas and transmitting the information to the information processing unit; each flame detector is provided with a photoelectric self-identification device, and the photoelectric self-identification device is connected with the information processing unit and is used for controlling the flame detectors at the corresponding positions to send alarm signals through the information processing unit when the flame detectors collect abnormal data; the PTZ camera is connected with the information processing unit, tracks an alarm signal sent by the photoelectric self-identification device, collects image data in the area of the photoelectric self-identification device and sends the image data to the information processing unit. The utility model discloses realize the automatic accurate perception of position takes place for the conflagration, the fire alarm monitoring is more reliable, and anti false alarm ability is higher.
Description
Technical Field
The utility model relates to a fire control technology's design field, in particular to conflagration intellectual detection system.
Background
At present, common fire fighting equipment on the market comprises a smoke sensor, an ultraviolet ray and infrared ray sensor, other sensors and a pure fire alarm detection system based on a video image.
The smoke sensor is used for preventing fire by detecting the concentration of smoke and is divided into an ion smoke alarm and a photoelectric smoke alarm. In the case of people smoking, false alarms are caused by too sensitive smoke detectors and false alarms are easily caused by the accumulation of steam or moisture on the sensors and circuit boards.
The ultraviolet flame sensor has the disadvantages of poor sensitivity, detection distance less than 15m, failure in lightning interference resistance and certain false alarm rate, so that the ultraviolet flame sensor can only be used in a closed environment with short distance.
The infrared detector sensitive to light radiation has the disadvantages that the sensor of the type has piezoelectricity, is very sensitive to sound electromagnetic waves and vibration, is limited in the use place, and has the detection distance of less than 80 m.
The fire alarm detection system based on the video image only adopts an image recognition method to recognize dense smoke and open fire, learns and stores form data of flame and smoke in a database, uses an algorithm to recognize the flame and smoke, and can obtain a fire signal through the flame or smoke once a fire breaks out in an area. The method has the disadvantages that the establishment of the detection scene in the construction needs to be completed by a professional machine vision technical engineer, the engineer is difficult to be competent, the set visual field of the detection scene is large, weak flames are difficult to find in the initial stage, the set visual field of the detection scene is small, the observation and detection range is limited, and the missing report is easy to occur; the possibility of occurrence of a site interference target is high, and an interference algorithm is used for correctly judging the occurrence of a fire; although frequent false alarms can be confirmed manually and remotely by calling images, the fire prevention alertness of the person on duty is also reduced.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome above-mentioned prior art not enough, provide a conflagration intellectual detection system, realize the automatic accurate perception of conflagration emergence position, fire alarm monitoring is more reliable, and anti false positive ability is higher.
In order to achieve the purpose, the utility model provides an intelligent fire detection system, which comprises a plurality of groups of flame detectors, a photoelectric self-identification device, an information processing unit, a PTZ camera and an upper computer monitoring center; each group of flame detectors are arranged in a monitored area in a grid array manner and used for acquiring flame original data information at different positions and transmitting the information to the information processing unit; each flame detector is provided with a photoelectric self-identification device, and the photoelectric self-identification device is connected with the information processing unit and is used for controlling the flame detectors at the corresponding positions to send alarm signals through the information processing unit when the flame detectors collect abnormal data; the PTZ camera is connected with an information processing unit, under the control of the information processing unit, the PTZ camera finds photoelectric alarm signal characteristics through images collected by the camera, and adjusts the visual angle of the PTZ camera until aiming at the position of the photoelectric self-identification device for alarming; the position is taken as an initial position, the accurate position of a suspected fire point is found and confirmed by a computer vision algorithm in the information processing unit by adjusting the visual angle of the PTZ camera, and a clear image of the position is acquired; the information processing unit is in information communication connection with the upper computer monitoring center and sends the collected suspected fire images to the upper computer monitoring center if necessary.
The detection is guaranteed to be more reliable through data fusion among a plurality of groups of flame detectors, the information processing unit and the PTZ camera three, the detection has higher false alarm resistance, the photoelectric self-identification device, the information processing unit and the PTZ camera three are mutually matched, the double detection of data analysis and signal alarm is realized, the PTZ camera is automatically positioned and tracked, the effective resolution of flame image information in video images is improved, and the monitoring accuracy and reliability are improved.
Preferably, the flame detectors comprise two, three or four of an ultraviolet flame sensor, an infrared flame detector, a smoke alarm and a temperature sensor, and a plurality of flame detectors detect flames at the same time, so that the defects among the detectors are overcome, and the accuracy of flame detection is improved.
Preferably, the alarm signal of the optoelectronic self-marking device is a light color signal or a light and dark change sequence signal. The PTZ camera can more accurately align the suspected ignition point position through the photoelectric alarm signal, so that the flame distinguishing speed and accuracy are improved, the corresponding position relation between the camera and each flame detector does not need to be preset and adjusted when the system is initially installed, and the workload and the maintenance complexity of system installation and debugging are greatly reduced.
The utility model has the advantages that: the utility model provides a flame detector carries out the collection of abnormal data earlier, then information processing unit controls photoelectricity on the one hand and sends photoelectricity alarm signal from the identification means and on the other hand controls PTZ camera rotation and goes to alarm signal department and carry out the collection and the discernment of image data, through the flame detector, information processing unit, photoelectricity is from the mutual cooperation between identification means and the PTZ camera, the position adjustment of complicated PTZ camera to each sensor position in having avoided system initialization surveys work, realize PTZ camera automatic positioning tracking, improve the effective resolution ratio of flame image information in the video image, improve the interference killing feature, the accuracy and the reliability of flame detection; the data acquisition method of the flame detectors arranged in the grid array shape has higher false alarm resistance than the threshold judgment of each group of flame detectors; the photoelectric self-identification device avoids the complex position adjustment and measurement work of the PTZ camera on the positions of the flame detectors in the system initialization, the positions of the flame detectors can be determined by the photoelectric self-identification device on the positions of the flame detectors and the nine-axis sensor in the PTZ camera, and the detection efficiency is improved.
The features and advantages of the present invention will be described in detail by embodiments with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic diagram of the system hardware of the present invention.
In the figure: the system comprises a flame anomaly data collector 1, a photoelectric self-identification device 2, an information processing unit 3, a PTZ camera 4 and a network communication interface 5.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention is further described in detail through the accompanying drawings and embodiments. It should be understood, however, that the description herein of specific embodiments is only intended to illustrate the invention and not to limit the scope of the invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1, the utility model provides an intelligent fire detection system, which comprises a plurality of groups of flame detectors, an information processing unit, a PTZ camera and an upper computer monitoring center; each group of flame detectors are arranged in a monitored area in a grid array shape and used for acquiring flame data information of different areas and transmitting the information to the information processing unit; photoelectric self-identification devices are arranged at the flame detectors and connected with the information processing unit, and the photoelectric self-identification devices are used for controlling the flame detectors at the corresponding positions to send alarm signals through the addressing information processing unit when the flame detectors collect abnormal data; the PTZ camera is connected with the information processing unit, finds photoelectric alarm signal characteristics in the acquired image, tracks the photoelectric alarm signal sent by the photoelectric self-identification device, acquires image data of the area of the photoelectric self-identification device and sends the image data to the information processing unit; taking the image of the position as an initial, controlling the visual angle and the visual field of the PTZ camera by the information processing unit, searching a suspected ignition point, and finishing judgment and confirmation through the processing of a computer vision algorithm; and the information processing unit is in information communication connection with the upper computer monitoring center, and the confirmed suspected ignition point image is sent to the upper computer monitoring center.
The setting of this structure has guaranteed through the combination between a plurality of groups flame detector, information processing unit and the PTZ camera three that it can be more reliable to detect, possesses higher anti false positive ability, photoelectricity is from identification means, the mutually supporting effect between information processing unit and the PTZ camera three, realizes data analysis and signal alarm's dual detection, PTZ camera automatic positioning tracking improves the effective resolution ratio of flame image information in the video image, improves the accuracy and the reliability of monitoring.
Furthermore, the flame detectors comprise two, three or four of an ultraviolet flame sensor, an infrared flame detector, a smoke alarm and a temperature sensor, and the flame detectors detect the flame at the same time, so that the defects among the detectors are overcome, and the accuracy of flame detection is improved.
Further, the alarm signal of the photoelectric self-identification device is a light color signal or a light brightness change sequence signal. The PTZ camera can more accurately align the suspected ignition point position through the alarm signal, so that the speed and the accuracy of flame discrimination are improved, the design also avoids the initialization debugging of the position relation between the PTZ camera and each detector, the complexity of system debugging can be greatly reduced, and the debugging workload is reduced.
The utility model relates to a conflagration intellectual detection system's control method, including following step: wherein the flame detector comprises an ultraviolet flame sensor and an infrared flame detector,
(1) acquiring flame abnormality data: the multiple ultraviolet flame sensors and the infrared flame detectors are arranged in a grid array in a detected area and are numbered, meanwhile, photoelectric self-identification devices are arranged at the same positions of the ultraviolet flame sensors and the infrared flame detectors and are identified by addresses, the photoelectric self-identification devices can give out photoelectric alarms, alarm information is light color, light brightness change sequences and the like, when a fire alarm abnormally occurs, the multiple flame sensors in a local area where the fire abnormally occurs simultaneously collect data such as radiation values and the like, and then the collected information is sent to the information processing unit 2;
(2) and (3) exception data processing: the information processing unit 2 receives the identification of the flame detector in the information sent by the flame detector, completes algorithm calculation according to the radiation detection values of a plurality of ultraviolet sensors and infrared flame detectors which are positioned in adjacent areas, determines the position of a suspected ignition point, and then addresses and starts a photoelectric self-identification device at the position of the suspected ignition point to send out photoelectric alarm information;
(3) and (3) preliminarily judging the abnormal position: the information processing unit 2 controls the PTZ camera to rotate and pitch so as to find the photoelectric alarm signal characteristics sent by the photoelectric self-identification device in the acquired image and enable the camera to aim at the position of the photoelectric self-identification device, wherein the position is the initial position of an ignition point confirmed by subsequent visual detection;
(4) determining the position and the orientation of the abnormal position: from the initial position, a nine-axis sensor installed in the camera can obtain information such as a direction angle and a pitch angle of the current camera in real time, namely the global direction position of the suspected fire point position, so that the PTZ camera 3 can be quickly aligned to the suspected fire point position, and the nine-axis sensor can be a three-dimensional linear accelerometer, a three-dimensional angular velocity meter and a three-dimensional geomagnetic sensor;
(5) acquisition of a relatively precise region of interest: the PTZ camera 3 performs visual algorithm analysis based on brightness, chromaticity, texture morphology and the like on a suspected fire scene In a large visual field range, repeatedly and iteratively identifies suspected flame and smoke, and performs proper Zoom-In/Zoom-Out and azimuth/pitch angle adjustment after each iterative calculation so as to obtain a relatively accurate region of interest and better confirm the position of a fire point;
(6) acquisition of accurate video images: after a relatively accurate region of interest is obtained, if the position of the ignition point is not confirmed, returning to the step 1), if the position of the ignition point is confirmed, controlling the PTZ camera 3 to continuously shoot the region of interest by a processing unit of the PTZ camera 3;
(7) and (3) processing and analyzing the accurate video information: after shooting, returning the video information to the information processing unit 2, and the information processing unit 2 preliminarily judging whether the position has the fire, if the fire occurrence characteristics cannot be preliminarily confirmed, returning to the step 3) to continue judging the abnormal position, and if the fire occurrence characteristics can be preliminarily confirmed, judging whether the fire occurs according to the abnormal condition in the image;
(8) and (3) final treatment: if the fire disaster is judged not to occur, the step (1) is returned, if the fire disaster is judged to occur, the information processing unit 2 uploads the analysis result to the network communication interface 4 in the form of short video or high-definition static images, and the network communication interface 4 sends alarm information after receiving the information.
Further, in the step (1), the flame detector includes an ultraviolet flame sensor, and the detecting step of the ultraviolet flame sensor is,
(1) a photosensitive tube at the tail of the ultraviolet detection interface probe detects the ultraviolet level of the current external environment;
(2) the photosensitive tube converts the optical signal into an electrical signal;
(3) when the ultraviolet level is detected to be abnormal, the processor sends a signal to the information processing unit for processing the abnormal ultraviolet radiation original value; if the judgment result is no abnormity, the processor does not process.
Further, in the step (1), the flame detector comprises an infrared flame sensor, and the detecting step of the infrared flame sensor is,
(1) the infrared detection interface detects the infrared level in the environment;
(2) the infrared detection interface converts the optical signal into an electric signal, and the processor compares and judges the electric signal with the intensity level of the ambient infrared ray;
(3) the processor receives the electric signal and judges after comparing the intensity level of the environment infrared ray;
(4) when the infrared level is detected to be abnormal, the processor sends the abnormal infrared radiation original value to the information processing unit for processing, and if the electric signal judges that the infrared radiation original value is abnormal, the processor does not process the electric signal.
Compared with the prior art, the utility model discloses a ultraviolet sensor judges the change of ultraviolet ray in the monitoring area, and dual wavelength infrared detector judges the spectral change of CO2 emission and the change of infrared radiation in the flame in the monitoring area, combines PTZ camera 3 monitoring flame and smog, has guaranteed that the detection can be more reliable, has higher anti false alarm ability; the photoelectric self-identification of the positions of the ultraviolet sensor and the infrared detector avoids the complex position adjustment and measurement work of the PTZ camera 3 on the positions of the detectors in the system initialization, and the PTZ camera 3 is matched with the photoelectric self-identification to realize the automatic positioning and tracking of the PTZ camera 3 and improve the effective resolution of flame image information in video images, thereby improving the accuracy and the reliability of monitoring; through the mutual cooperation of the photoelectric self-identification device and the nine-axis sensor, the position of each detector is determined only by the photoelectric self-identification of the position of the sensor and the nine-axis sensor in the PTZ camera 3, and the accuracy of the position judgment of the suspected ignition point is improved.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modification, equivalent replacement or improvement made within the spirit and principle of the present invention should be included in the present invention.
Claims (3)
1. The utility model provides a conflagration intellectual detection system which characterized in that: the device comprises a plurality of groups of flame detectors, photoelectric self-identification devices, an information processing unit, a PTZ camera and an upper computer monitoring center; each group of flame detectors are distributed in a monitored area in a grid array shape and used for acquiring flame data information of different positions and transmitting the information to the information processing unit; each flame detector is provided with a photoelectric self-identification device, and the photoelectric self-identification device is connected with the information processing unit and is used for controlling the flame detectors at the corresponding positions to send alarm signals through the information processing unit when the flame detectors collect abnormal data; the PTZ camera is connected with the information processing unit, tracks a photoelectric alarm signal sent by the photoelectric self-identification device, collects image data of an area sending the photoelectric alarm and sends the image data to the information processing unit; and the information processing unit is in information communication connection with the upper computer monitoring center.
2. A fire intelligent detection system according to claim 1, wherein: the flame detector comprises two, three or four of an ultraviolet flame sensor, an infrared flame sensor, a smoke alarm and a temperature sensor, the detectors are distributed in an array mode, and data of the detectors are processed by the information processing unit in a unified mode to judge whether flames possibly exist or not.
3. A fire intelligent detection system according to claim 1, wherein: the alarm signal of the photoelectric self-identification device is a light color signal or a light brightness change sequence signal.
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| CN201920314702.5U CN209962382U (en) | 2019-03-13 | 2019-03-13 | Intelligent fire detection system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109887221A (en) * | 2019-03-13 | 2019-06-14 | 杭州图析同创科技有限公司 | A kind of fire disaster intelligently detection system and its control method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109887221A (en) * | 2019-03-13 | 2019-06-14 | 杭州图析同创科技有限公司 | A kind of fire disaster intelligently detection system and its control method |
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Effective date of registration: 20220402 Address after: 316000 China (Zhejiang) pilot Free Trade Zone, Zhoushan City, Zhejiang Province room 1702, No. 11, Baichuan Road, Lincheng street, Zhoushan Marine Science City, Dinghai District, Zhoushan City (station 35, talent enclave) Patentee after: Zhejiang tuxi Weishi Technology Co.,Ltd. Address before: 310053 room 1704, block a, Jinxiu international science and technology center, No. 26, Juye Road, Binjiang District, Hangzhou City, Zhejiang Province Patentee before: HANGZHOU TUXI TONGCHUANG TECHNOLOGY Co.,Ltd. |
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