CN110748837B - Fire-fighting lamp - Google Patents
Fire-fighting lamp Download PDFInfo
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- CN110748837B CN110748837B CN201911078986.3A CN201911078986A CN110748837B CN 110748837 B CN110748837 B CN 110748837B CN 201911078986 A CN201911078986 A CN 201911078986A CN 110748837 B CN110748837 B CN 110748837B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21S—NON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
- F21S9/00—Lighting devices with a built-in power supply; Systems employing lighting devices with a built-in power supply
- F21S9/02—Lighting devices with a built-in power supply; Systems employing lighting devices with a built-in power supply the power supply being a battery or accumulator
- F21S9/022—Emergency lighting devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V21/00—Supporting, suspending, or attaching arrangements for lighting devices; Hand grips
- F21V21/14—Adjustable mountings
- F21V21/32—Flexible tubes
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V33/00—Structural combinations of lighting devices with other articles, not otherwise provided for
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/02—Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21W—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO USES OR APPLICATIONS OF LIGHTING DEVICES OR SYSTEMS
- F21W2111/00—Use or application of lighting devices or systems for signalling, marking or indicating, not provided for in codes F21W2102/00 – F21W2107/00
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Fire-Detection Mechanisms (AREA)
- Alarm Systems (AREA)
- Fire Alarms (AREA)
Abstract
The invention provides a fire fighting lamp, comprising: the body and light, the light pass through metal collapsible tube with this body coupling, be provided with pilot lamp and smoke temperature detector on the body. Some fire emergency light of current have the light the angle can not turn to the regulation, and this technical scheme's fire emergency light the light passes through metal collapsible tube can realize angle modulation, still be provided with on the body the smoke temperature detector can detect indoor smoke temperature state, and practical value is high.
Description
Technical Field
The invention relates to a fire-fighting unit, in particular to a fire-fighting lamp.
Background
The fire control lamp, also known as fire control emergency light, a very popular fire control facility, current fire control emergency light can provide the illumination automatically and instruct the emergency exit when taking place to have a power failure in the conflagration, fire control emergency light generally sets up in escape way, escape way's reasonable setting, important effect has to personnel's safe evacuation, set up luminous sparse sign on the subaerial or the wall that is close to ground of evacuation pavement and main evacuation route, play fine effect to safe evacuation, can help people under the condition that dense smoke is filled more effectively, in time discernment evacuation position and direction, it is sparse smoothly rapidly along luminous sparse sign, avoid causing the casualty accident. And lamplight evacuation indication signs are arranged above the safe exit or the evacuation exit and the evacuation walkway.
Some fire emergency lights of current have the light the angle can not turn to the regulation, some do not possess the function that smoke temperature surveyed.
Disclosure of Invention
Technical problem to be solved
The invention aims to provide a fire-fighting lamp which is simple in structure, can adjust the angle of an illuminating lamp and is provided with a smoke temperature detector.
(II) technical scheme
In order to solve the above technical problems, the present invention provides a fire fighting lamp, comprising: the body and light, the light pass through metal collapsible tube with this body coupling, be provided with pilot lamp and smoke temperature detector on the body. Some fire emergency light of current have the light the angle can not turn to the regulation, and this technical scheme's fire emergency light the light passes through metal collapsible tube can realize each angle modulation, still be provided with on the body the smoke temperature detector can detect indoor smoke temperature state, and practical value is high.
The fire-fighting lamps are all arranged in indoor spaces such as corridors, passageways and the like, but the existing fire-fighting lamps do not have the function of monitoring the indoor environment and the function of distinguishing and monitoring human bodies; accordingly, the fire fighting lamp further comprises:
the hemispherical camera shooting unit is arranged on the body and used for shooting images of the internal environment of the space where the fire fighting lamp is located so as to obtain a real-time internal image and outputting the real-time internal image;
the noise detection unit is connected with the hemispherical camera shooting unit and used for receiving the real-time internal image output by the hemispherical camera shooting unit and carrying out noise detection on the real-time internal image so as to obtain a noise amplitude corresponding to the real-time internal image and output the noise amplitude as a current noise amplitude;
the noise type detection unit is connected with the hemispherical camera shooting unit and used for receiving the real-time internal image and analyzing the noise type of the real-time internal image so as to obtain various noise types in the real-time internal image and the maximum amplitude corresponding to each noise type;
a first parsing unit, connected to the noise detection unit, configured to receive the current noise amplitude, and perform uniform blocking on the real-time internal image based on the current noise amplitude to obtain a plurality of corresponding blocking fragments, where in the first parsing unit, the uniform blocking on the real-time internal image by the current noise amplitude to obtain a plurality of corresponding blocking fragments includes: the larger the current noise amplitude is, the more the number of the obtained multiple block fragments is, and the sizes of the multiple block fragments are the same;
and the second analysis unit is connected with the first analysis unit and used for receiving the plurality of block fragments, extracting the mean value of pixel values of each pixel point of each block fragment as a region pixel value corresponding to the block fragment, determining the mean square error of the pixel values of each region of each block fragment, sending a first control signal when the mean square error exceeds the limit, and sending a second control signal when the mean square error does not exceed the limit.
Further, the fire fighting lamp further comprises:
the noise amplitude measuring unit is connected with the noise type detecting unit and used for receiving various noise types in the real-time internal image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three serial numbers as three to-be-processed noise types;
the static storage unit is used for pre-storing a type weight comparison table, wherein the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for pre-storing an initialization binarization threshold value;
the initial value extraction unit is connected with the static storage unit and is used for acquiring the initialized binary threshold value;
an initial value correcting unit, connected to the initial value extracting unit and the noise amplitude measuring unit, respectively, for receiving the three types of noise to be processed, determining three influence weights corresponding to the three types of noise to be processed, respectively, based on the type weight comparison table, and performing sequential correction processing on the initialized binary threshold value by using the three influence weights, so as to obtain a corrected threshold value after the correction processing is completed, and outputting the corrected threshold value;
the threshold value execution unit is connected with the initial value correction unit, and is used for performing binarization processing on the real-time internal image by adopting the corrected threshold value so as to obtain a processed image and outputting the processed image;
a first detection unit, connected to the threshold execution unit, configured to receive the processed image, perform edge line detection on the processed image to obtain each edge line in the processed image, output an area with the most dense edge lines in the processed image as a to-be-processed area, and output the processed image with the to-be-processed area removed as a residual area;
the first processing unit is connected with the first detection unit and used for receiving the region to be processed, detecting the signal-to-noise ratio of the region to be processed, and executing contrast enhancement processing with different strength on the region to be processed based on the magnitude of the signal-to-noise ratio to obtain a corresponding contrast processing region; in the above-mentioned
In the first processing unit, performing edge enhancement processing with different strengths on the region to be processed based on the magnitude of the signal-to-noise ratio includes: acquiring the amplitude of various noise types in the region to be processed, and determining the signal-to-noise ratio of the region to be processed based on the amplitude of various noise types;
the second processing unit is respectively connected with the first detection unit and the first processing unit and is used for receiving the residual region and the contrast processing region, adding the contrast processing region into the residual region to obtain an added image to be detected and outputting the image to be detected;
the face identification unit is connected with the second processing unit and used for receiving the image to be detected, matching the image to be detected with each preset escaped face pattern, sending an escaped identification signal when the matched preset escaped face pattern exists, and sending an escaped number corresponding to the successfully matched preset escaped face pattern;
and the frequency division duplex communication unit is connected with the face identification unit and used for sending the matched escapement serial number corresponding to the preset escapement face pattern to a server of a nearby public security escapement wanted department through a frequency division duplex communication link when the escapement identification signal is received.
Further, in the face recognition unit, each preset escapement face pattern corresponds to an escapement number; the frequency division duplex communication unit is further configured to receive from a server of a nearby public security wanted-evasion department over the frequency division duplex communication link to update the respective preset evasion face patterns.
Further, the hemispherical camera unit further comprises a defocus alarm, and the defocus alarm is connected with the second analysis unit and is used for performing defocus alarm operation after receiving the second control signal; the out-of-focus alarm is also used for not carrying out any alarm operation when receiving the first control signal.
Further, the static storage unit is further connected to the initial value modification unit and the threshold execution unit, respectively, and is configured to store the modified threshold.
(III) advantageous effects
The lighting lamp of the fire-fighting lamp is connected with the body through the metal hose, the lighting lamp can realize the adjustment of various angles, the smoke temperature detector is arranged on the body, the indoor smoke temperature state can be detected, and the practical value is high.
Drawings
FIG. 1 is a schematic view of the construction of the fire fighting lamp of the present invention;
wherein: 1 is a body, 2 is a lighting lamp, 3 is a metal hose, 4 is an indicator lamp, and 5 is a smoke temperature detector.
Detailed Description
Referring to fig. 1, the present invention provides a fire fighting lamp comprising: body 1 and light 2, light 2 pass through metal collapsible tube 3 with body 1 is connected, be provided with pilot lamp 4 and smoke temperature detector 5 on the body 1. Some fire emergency light of current have the light angle of lamp can not turn to the regulation, and this technical scheme's fire emergency light 2 through the regulation of each angle can be realized to metal collapsible tube 3. The light and the body of this embodiment fire control lamp are connected through metal collapsible tube, and the adjustment of each angle can be realized to the light, is provided with the smoke temperature detector on the body, can detect indoor smoke temperature state, and practical value is high.
The fire-fighting lamps are all arranged in indoor spaces such as corridors, passageways and the like, but the existing fire-fighting lamps do not have the function of monitoring the indoor environment and the function of distinguishing and monitoring human bodies; therefore, this embodiment fire fighting lamp still includes:
the hemispherical camera shooting unit is arranged on the body 1 and used for shooting images of the internal environment of the space where the fire fighting lamp is located so as to obtain real-time internal images and outputting the real-time internal images;
the noise detection unit is connected with the hemispherical camera shooting unit and used for receiving the real-time internal image output by the hemispherical camera shooting unit and carrying out noise detection on the real-time internal image so as to obtain a noise amplitude corresponding to the real-time internal image and output the noise amplitude as a current noise amplitude;
the noise type detection unit is connected with the hemispherical camera shooting unit and used for receiving the real-time internal image and analyzing the noise type of the real-time internal image so as to obtain various noise types in the real-time internal image and the maximum amplitude corresponding to each noise type;
a first parsing unit, connected to the noise detection unit, configured to receive the current noise amplitude, and perform uniform blocking on the real-time internal image based on the current noise amplitude to obtain a plurality of corresponding blocking fragments, where in the first parsing unit, the uniform blocking on the real-time internal image by the current noise amplitude to obtain a plurality of corresponding blocking fragments includes: the larger the current noise amplitude is, the more the number of the obtained multiple block fragments is, and the sizes of the multiple block fragments are the same;
and the second analysis unit is connected with the first analysis unit and used for receiving the plurality of block fragments, extracting the mean value of pixel values of each pixel point of each block fragment as a region pixel value corresponding to the block fragment, determining the mean square error of the pixel values of each region of each block fragment, sending a first control signal when the mean square error exceeds the limit, and sending a second control signal when the mean square error does not exceed the limit.
This embodiment fire control lamp still includes:
the noise amplitude measuring unit is connected with the noise type detecting unit and used for receiving various noise types in the real-time internal image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three serial numbers as three to-be-processed noise types;
the static storage unit is used for pre-storing a type weight comparison table, wherein the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for pre-storing an initialization binarization threshold value;
the initial value extraction unit is connected with the static storage unit and is used for acquiring the initialized binary threshold value;
an initial value correcting unit, connected to the initial value extracting unit and the noise amplitude measuring unit, respectively, for receiving the three types of noise to be processed, determining three influence weights corresponding to the three types of noise to be processed, respectively, based on the type weight comparison table, and performing sequential correction processing on the initialized binary threshold value by using the three influence weights, so as to obtain a corrected threshold value after the correction processing is completed, and outputting the corrected threshold value;
the threshold value execution unit is connected with the initial value correction unit, and is used for performing binarization processing on the real-time internal image by adopting the corrected threshold value so as to obtain a processed image and outputting the processed image;
a first detection unit, connected to the threshold execution unit, configured to receive the processed image, perform edge line detection on the processed image to obtain each edge line in the processed image, output an area with the most dense edge lines in the processed image as a to-be-processed area, and output the processed image with the to-be-processed area removed as a residual area;
the first processing unit is connected with the first detection unit and used for receiving the region to be processed, detecting the signal-to-noise ratio of the region to be processed, and executing contrast enhancement processing with different strength on the region to be processed based on the magnitude of the signal-to-noise ratio to obtain a corresponding contrast processing region; in the above-mentioned
In the first processing unit, performing edge enhancement processing with different strengths on the region to be processed based on the magnitude of the signal-to-noise ratio includes: acquiring the amplitude of various noise types in the region to be processed, and determining the signal-to-noise ratio of the region to be processed based on the amplitude of various noise types;
the second processing unit is respectively connected with the first detection unit and the first processing unit and is used for receiving the residual region and the contrast processing region, adding the contrast processing region into the residual region to obtain an added image to be detected and outputting the image to be detected;
the face identification unit is connected with the second processing unit and used for receiving the image to be detected, matching the image to be detected with each preset escaped face pattern, sending an escaped identification signal when the matched preset escaped face pattern exists, and sending an escaped number corresponding to the successfully matched preset escaped face pattern;
and the frequency division duplex communication unit is connected with the face identification unit and used for sending the matched escapement serial number corresponding to the preset escapement face pattern to a server of a nearby public security escapement wanted department through a frequency division duplex communication link when the escapement identification signal is received.
In the face recognition unit, each preset escapement face pattern corresponds to an escapement number; the frequency division duplex communication unit is further configured to receive from a server of a nearby public security wanted-evasion department over the frequency division duplex communication link to update the respective preset evasion face patterns.
The hemispherical camera unit further comprises a defocus alarm, and the defocus alarm is connected with the second analysis unit and used for performing defocus alarm operation after receiving the second control signal; the out-of-focus alarm is also used for not carrying out any alarm operation when receiving the first control signal.
The static storage unit is also respectively connected with the initial value correction unit and the threshold execution unit and is used for storing the corrected threshold.
Aiming at the technical problem that the fire-fighting lamp in the prior art is lack of an indoor personnel detection early warning mechanism, the fire-fighting lamp adopts a targeted image processing mechanism to realize high-precision identification of a suspicious evasion target existing indoors, and can timely and quickly inform a relevant wanted department of an identification result; the fire fighting lamp determines the influence weight on the binary threshold value based on a prestored type weight comparison table by acquiring various noise types in the image, so that the directional correction on the binary threshold value is realized; different processing of different areas of the image is realized through analysis of the edge line and analysis of the signal to noise ratio; the defocus degree of the output image of the hemispherical camera equipment is detected in real time, so that whether corresponding defocus alarm is carried out or not is determined according to the real-time detection result, the defocus condition in the shooting process of the hemispherical camera equipment is avoided, and the technical problem is solved.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (4)
1. A fire fighting lamp, comprising: the lighting lamp comprises a body (1) and a lighting lamp (2), wherein the lighting lamp (2) is connected with the body (1) through a metal hose (3), and an indicator lamp (4) and a smoke temperature detector (5) are arranged on the body (1); further comprising:
the hemispherical camera shooting unit is arranged on the body (1) and used for shooting images of the internal environment of the space where the fire fighting lamp is located so as to obtain a real-time internal image and outputting the real-time internal image;
the noise detection unit is connected with the hemispherical camera shooting unit and used for receiving the real-time internal image output by the hemispherical camera shooting unit and carrying out noise detection on the real-time internal image so as to obtain a noise amplitude corresponding to the real-time internal image and output the noise amplitude as a current noise amplitude;
the noise type detection unit is connected with the hemispherical camera shooting unit and used for receiving the real-time internal image and analyzing the noise type of the real-time internal image so as to obtain various noise types in the real-time internal image and the maximum amplitude corresponding to each noise type;
a first parsing unit, connected to the noise detection unit, configured to receive the current noise amplitude, and perform uniform blocking on the real-time internal image based on the current noise amplitude to obtain a plurality of corresponding blocking fragments, where in the first parsing unit, the uniform blocking on the real-time internal image by the current noise amplitude to obtain a plurality of corresponding blocking fragments includes: the larger the current noise amplitude is, the more the number of the obtained multiple block fragments is, and the sizes of the multiple block fragments are the same;
the second analysis unit is connected with the first analysis unit and used for receiving the plurality of block fragments, extracting the mean value of pixel values of each pixel point of each block fragment as a region pixel value corresponding to the block fragment, determining the mean square error of the pixel values of each region of each block fragment, sending a first control signal when the mean square error exceeds the limit, and sending a second control signal when the mean square error does not exceed the limit;
the face identification unit is connected with the second processing unit and used for receiving the image to be detected output by the second processing unit, matching the image to be detected with each preset evasion face pattern, sending an evasion identification signal when the successfully matched preset evasion face pattern exists, and sending an evasion number corresponding to the successfully matched preset evasion face pattern;
the frequency division duplex communication unit is connected with the face identification unit and is used for sending the escaper serial number corresponding to the successfully matched preset escaper face pattern to a server of a nearby public security escaper wanted department through a frequency division duplex communication link when the escaper identification signal is received;
the noise amplitude measuring unit is connected with the noise type detecting unit and used for receiving various noise types in the real-time internal image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three serial numbers as three to-be-processed noise types;
the static storage unit is used for pre-storing a type weight comparison table, wherein the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for pre-storing an initialization binarization threshold value;
the initial value extraction unit is connected with the static storage unit and is used for acquiring the initialized binary threshold value;
an initial value correcting unit, connected to the initial value extracting unit and the noise amplitude measuring unit, respectively, for receiving the three types of noise to be processed, determining three influence weights corresponding to the three types of noise to be processed, respectively, based on the type weight comparison table, and performing sequential correction processing on the initialized binary threshold value by using the three influence weights, so as to obtain a corrected threshold value after the correction processing is completed, and outputting the corrected threshold value;
the threshold value execution unit is connected with the initial value correction unit, and is used for performing binarization processing on the real-time internal image by adopting the corrected threshold value so as to obtain a processed image and outputting the processed image;
a first detection unit, connected to the threshold execution unit, configured to receive the processed image, perform edge line detection on the processed image to obtain each edge line in the processed image, output an area with the most dense edge lines in the processed image as a to-be-processed area, and output the processed image with the to-be-processed area removed as a residual area;
the first processing unit is connected with the first detection unit and used for receiving the region to be processed, detecting the signal-to-noise ratio of the region to be processed, and executing contrast enhancement processing with different strength on the region to be processed based on the magnitude of the signal-to-noise ratio to obtain a corresponding contrast processing region; in the first processing unit, performing edge enhancement processing of different strengths on the region to be processed based on the magnitude of the signal-to-noise ratio includes: acquiring the amplitude of various noise types in the region to be processed, and determining the signal-to-noise ratio of the region to be processed based on the amplitude of various noise types;
and the second processing unit is respectively connected with the first detection unit and the first processing unit and is used for receiving the residual region and the contrast processing region, adding the contrast processing region into the residual region to obtain an added image to be detected and outputting the image to be detected.
2. A fire fighting lamp as defined in claim 1, wherein in the face recognition unit, each preset evasion face pattern corresponds to an evasion number; the frequency division duplex communication unit is further configured to receive from a server of a nearby public security wanted-evasion department over the frequency division duplex communication link to update the respective preset evasion face patterns.
3. A fire fighting lamp as recited in claim 2, wherein the dome camera unit further comprises a defocus alarm connected to the second analyzing unit for performing a defocus alarm operation upon receiving the second control signal; the out-of-focus alarm is also used for not carrying out any alarm operation when receiving the first control signal.
4. A fire fighting lamp as defined in claim 3, wherein said static storage unit is further connected to said initial value modification unit and said threshold value execution unit, respectively, for storing said modified threshold value.
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| CN201911078986.3A CN110748837B (en) | 2019-11-07 | 2019-11-07 | Fire-fighting lamp |
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| CN112594618A (en) * | 2020-12-11 | 2021-04-02 | 上海市政工程设计研究总院（集团）有限公司 | Angle-adjustable emergency lighting lamp |
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Effective date of registration: 20210603 Address after: 315400 HD Bay Village, Yuyao Town, Yuyao, Zhejiang Applicant after: Ningbo Shunchao Bearing Co.,Ltd. Address before: 315100 No.27, Shangchen group 2, Sanxing village, Gulin Town, Yinzhou District, Ningbo City, Zhejiang Province Applicant before: Chen Dingliang |
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