CN112304441B - Automatic detection method for cable pit fire protection - Google Patents
Automatic detection method for cable pit fire protection Download PDFInfo
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- 238000009529 body temperature measurement Methods 0.000 claims abstract description 27
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- 230000009286 beneficial effect Effects 0.000 description 4
- 230000005855 radiation Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000003331 infrared imaging Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
- G01J5/12—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using thermoelectric elements, e.g. thermocouples
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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Abstract
The invention provides an automatic fire-fighting detection method for a cable duct, which can obtain two fire distance values by using an infrared temperature measurement model and a light intensity and distance formula for the temperature detected by the same thermopile infrared sensor, and set weights for the two fire distance values, and obtain more accurate fire distance values by a weighting method, wherein the detection method has higher precision and low cost and is suitable for large-scale deployment; the communication in the channel is realized by selecting 430MHz frequency, so that the furthest effective communication distance can be satisfied, and the electromagnetic wave attenuation rate balance of the straight section and the bent section in the cable trench is satisfied.
Description
Technical Field
The invention relates to the technical field of cable trench fire protection, in particular to an automatic cable trench fire protection detection method.
Background
At present, a cable trench online monitoring system uses non-contact infrared temperature measurement to realize fire disaster early warning, an infrared array is formed by combining a plurality of non-contact infrared sensors, multi-point imaging is realized, spatial temperature distribution in the cable trench is obtained, and a target field temperature image is determined through a filtering algorithm. Because the cable trench is buried at the position with the depth of 1-1.5 meters, and the temperature difference of the devices arranged in the cable trench is not large, the temperature image obtained by adopting the infrared imaging technology is low in contrast and poor in resolution, and the occurrence of fire can not be predicted at the initial stage of the fire, so that the fire resolution is poor; meanwhile, the infrared imaging technology has high cost and high price, and the cable trench is wide in arrangement range and is not suitable for large-area use of the infrared imaging technology. Therefore, in order to solve the problems, the invention provides an automatic detection method for fire protection of a cable duct, and provides a novel method for detecting temperature and positioning fire, which can accurately predict the fire disaster and the specific position of the fire.
Disclosure of Invention
In view of the above, the invention provides a new method for detecting temperature and locating fire, which can accurately predict the fire disaster condition and the specific location of the fire.
The technical scheme of the invention is realized as follows: the invention provides an automatic detection method for cable pit fire protection, which comprises the following steps:
s1, arranging N thermopile infrared sensors along the length direction of a cable, detecting the infrared temperature of the cable through the thermopile infrared sensors, and presetting a temperature threshold value for fire occurrence;
s2, when the highest temperature detected by the thermopile infrared sensor exceeds a preset temperature threshold, judging that a fire disaster occurs, recording the highest temperature, a pixel value and a light intensity value detected by the thermopile infrared sensor when the thermopile infrared sensor with the highest temperature value is nearest to the fire disaster, substituting the highest temperature and the pixel value into an infrared temperature measurement model to obtain a fire disaster distance D1, substituting the light intensity value into a light intensity and distance formula to obtain a fire disaster distance D2;
and S3, setting different weights for the fire distance D1 and the fire distance D2 by adopting an analytic hierarchy process, wherein the final fire distance is the sum of products of the fire distance D1 and the fire distance D2 and the weights thereof.
On the basis of the technical scheme, preferably, the infrared temperature measurement model in S2 is as follows: t=0.8p+0.365d+454;
wherein T is the highest temperature detected by the thermopile infrared sensor; p is the pixel value detected by the thermopile infrared sensor; d is the fire distance of the fire from the thermopile infrared sensor.
On the basis of the technical scheme, preferably, the formula of the light intensity and the distance in S2 is as follows: lg (I) =lg (a) -xlg (R);
wherein I is light intensity; a is a constant; r is the distance from the fire disaster to the thermopile infrared sensor; and x is a coefficient, and the coefficient is obtained by analyzing the formula through a least square method.
On the basis of the above technical solution, preferably, S2 further includes the following steps: when no fire occurs, taking the temperature value detected by the thermopile infrared sensor as a reference value; when a fire disaster occurs, the maximum temperature detected by the thermopile infrared sensor is corrected and compensated through a temperature compensation algorithm, and the corrected maximum temperature value is substituted into an infrared temperature measurement model.
On the basis of the above technical solution, it is preferable that in S3, the weight set by the fire distance D1 is denoted as F1, the weight set by the fire distance D2 is denoted as F2, and the following relation is satisfied between F1 and F2: f1+f2=1.
Based on the technical scheme, preferably, 430MHz frequency is adopted by the thermopile infrared sensor in S1 to realize communication in a channel.
Compared with the prior art, the cable trench fire-fighting automatic detection method has the following beneficial effects:
(1) Two fire disaster distance values can be obtained by using an infrared temperature measurement model and a light intensity and distance formula aiming at the temperature detected by the same thermopile infrared sensor, weights are set for the two fire disaster distance values, a more accurate fire disaster distance value is obtained by a weighting method, the detection method is higher in precision and low in cost, and the method is suitable for large-scale deployment;
(2) The communication in the channel is realized by selecting 430MHz frequency, so that the furthest effective communication distance can be satisfied, and the electromagnetic wave attenuation rate balance of the straight section and the bent section in the cable trench is satisfied.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a graph of a linear fit of pixel values to temperature in an automatic detection method for fire protection in a cable pit;
FIG. 2 is a linear fitting diagram of the relationship between pixel values and distances in the automatic detection method for cable trench fire protection according to the present invention;
FIG. 3 is a table showing attenuation rates of electromagnetic waves of different frequencies in the automatic detection method for fire fighting in cable pit according to the present invention;
FIG. 4 is a table of different frequencies and communication distances in an automatic detection method for fire fighting in cable ducts according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will clearly and fully describe the technical aspects of the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Example 1
The invention discloses an automatic fire-fighting detection method for a cable duct, which specifically comprises the following steps of:
s1, arranging N thermopile infrared sensors along the length direction of a cable, detecting the infrared temperature of the cable through the thermopile infrared sensors, and presetting a temperature threshold value for fire occurrence;
s2, when the highest temperature detected by the thermopile infrared sensor exceeds a preset temperature threshold, judging that a fire disaster occurs, recording the highest temperature, a pixel value and a light intensity value detected by the thermopile infrared sensor when the thermopile infrared sensor with the highest temperature value is nearest to the fire disaster, substituting the highest temperature and the pixel value into an infrared temperature measurement model to obtain a fire disaster distance D1, substituting the light intensity value into a light intensity and distance formula to obtain a fire disaster distance D2;
the infrared radiation temperature measurement is affected by the emissivity of the measured object, and meanwhile, the background radiation of the environment where the temperature measurement is located also enters the infrared temperature measurement system, when the distance between the infrared temperature measurement system and the measured object is larger, a lot of background radiation enters the infrared temperature measurement system, so that the final result of the measurement of the infrared temperature measurement system is the average value of all radiation entering the infrared temperature measurement system, and the temperature detection is error. Therefore, in order to solve the above-mentioned problem, the temperature compensation algorithm is adopted to compensate the temperature detected by the thermopile infrared sensor in the present embodiment, and specifically includes the following steps: when no fire occurs, taking the temperature value detected by the thermopile infrared sensor as a reference value; when a fire disaster occurs, the maximum temperature detected by the thermopile infrared sensor is corrected and compensated through a temperature compensation algorithm, and the corrected maximum temperature is substituted into an infrared temperature measurement model.
In the implementation, the thought of the establishment of the infrared temperature measurement model is as follows: firstly, acquiring pixel values of cable infrared images; secondly, as shown in fig. 1 and 2, a coordinate system L1 of temperature and pixel values and a coordinate system L2 of pixel values and distance values are established, a large amount of experimental data are distributed in the coordinate system L1 according to the relation between the temperature and the pixel values, linear fitting is carried out, the fitting result of the pixel values and the temperature values is shown in fig. 1, the fitting result of the pixel values and the distance values is shown in fig. 2, and the relation between the temperature and the pixel values and the relation between the pixel values and the distance values are obtained through a least square method; and finally, integrating the relation between the temperature and the pixel value and the relation between the pixel value and the distance value, and obtaining the infrared temperature measurement model.
In this embodiment, the infrared temperature measurement model is: t=0.8p+0.365d+454; wherein T is the highest temperature detected by the thermopile infrared sensor; p is the pixel value detected by the thermopile infrared sensor; d is the fire distance of the fire from the thermopile infrared sensor.
Preferably, as can be seen from optical knowledge, the formula of the light intensity and the distance is lg (I) =lg (a) -xlg (R); wherein I is light intensity; r is the distance from the fire disaster to the thermopile infrared sensor; a is a constant; x is a coefficient; lg (I) is a linear function with respect to lg (R), and then a linear function analytical formula of lg (I) with respect to lg (R) is obtained by a least square method, thereby obtaining a corresponding lg (a) constant and a coefficient x.
And S3, setting different weights for the fire distance D1 and the fire distance D2 by adopting an analytic hierarchy process, wherein the final fire distance is the sum of products of the fire distance D1 and the fire distance D2 and the weights thereof.
Because the thermopile infrared sensor is affected by the environment and the distance, the problem of inaccurate detection temperature is easily caused, in order to improve the detection precision of the thermopile infrared sensor, in this embodiment, two detection methods are used to implement the distance detection, and a weighted method is adopted for the results obtained by the two detection methods to obtain a final result. Specifically, the weight set by the fire distance D1 is denoted as F1, the weight set by the fire distance D2 is denoted as F2, and the following relationship is satisfied between F1 and F2: f1+f2=1.
The beneficial effects of this embodiment are: two fire disaster distance values can be obtained by using an infrared temperature measurement model and a light intensity and distance formula aiming at the temperature detected by the same thermopile infrared sensor, weights are set for the two fire disaster distance values, a more accurate fire disaster distance value is obtained by a weighting method, and the detection method is higher in precision, low in cost and suitable for large-scale deployment.
Example 2
The invention discloses an automatic fire-fighting detection method for a cable duct, which specifically comprises the following steps of:
s101, arranging N thermopile infrared sensors along the length direction of a cable, recording the interval between adjacent thermopile infrared sensors as L, detecting the infrared temperature of the cable through the thermopile infrared sensors, and presetting a temperature threshold value for fire occurrence;
s102, when the detected temperature of the thermopile infrared sensors exceeds a preset temperature threshold, judging that a fire disaster occurs, taking the thermopile infrared sensors with the top three detected temperatures as calculation objects, recording the detected temperatures and pixel values of the three thermopile infrared sensors, respectively recording the three groups of temperatures as T1, T2 and T3, and respectively recording the three groups of pixel values as P1, P2 and P3;
s103, respectively setting different weights for the temperatures T1, T2, T3, P1, P2 and P3 by adopting an analytic hierarchy process, wherein the final temperature of the fire is the sum of products of the temperatures T1, T2 and T3 and the weights thereof, the final pixel value of the fire is the sum of products of the pixel values P1, P2 and P3 and the weights thereof, and substituting the final temperature and the final pixel value of the fire into an infrared temperature measurement model to obtain the fire distance.
In the implementation, the thought of the establishment of the infrared temperature measurement model is as follows: firstly, acquiring pixel values of cable infrared images; secondly, a coordinate system L1 of temperature and pixel values and a coordinate system L2 of pixel values and distance values are established, a large amount of experimental data are distributed in the coordinate system L1 according to the relation between the temperature and the pixel values, linear fitting is carried out, fitting results of the pixel values and the temperature values are shown in the figure, and the relation between the temperature and the pixel values and the relation between the pixel values and the distance values are obtained through a least square method; and finally, integrating the relation between the temperature and the pixel value and the relation between the pixel value and the distance value, and obtaining the infrared temperature measurement model.
In this embodiment, the infrared temperature measurement model is: t=0.8p+0.365d+454; wherein T is the highest temperature detected by the thermopile infrared sensor; p is the pixel value detected by the thermopile infrared sensor; d is the fire distance of the fire from the thermopile infrared sensor.
The beneficial effects of this embodiment are: when a fire disaster occurs, thermopile infrared sensors with the top three detection temperature ranks are taken as calculation objects, the temperature values and pixel values detected by the three thermopile infrared sensors are weighted respectively, the final temperature value and pixel value are determined according to the weighted results, and the final fire disaster distance is obtained according to an infrared temperature measurement model.
Example 3
On the basis of embodiment 1 or embodiment 2, this embodiment provides a communication mode of the infrared sensor of the thermopile in the cable pit.
Due to the tunnel effect of electromagnetic waves, the propagation of the electromagnetic waves in the tunnel is different from that in an open space, and the propagation characteristics of the electromagnetic waves with different frequencies are also different. The cable trench has a straight section and a curved section, and the attenuation rate is smaller as the frequency is higher under the same tunnel section as known in the prior art; when the radius of the curved section is fixed, the attenuation ratio increases as the electromagnetic wave frequency increases. In order to balance the attenuation rate of electromagnetic waves in the straight section and the curved section and improve the communication efficiency in the cable pit, in this embodiment, as shown in fig. 3 and fig. 4, in this embodiment, electromagnetic wave attenuation rates and communication distances of different frequencies are tested, and considering the situation of the cable pit comprehensively, in this embodiment, it is preferable to select 430MHz frequency to realize the communication in the pit.
The beneficial effects of this embodiment are: the communication in the channel is realized by selecting 430MHz frequency, so that the furthest effective communication distance can be satisfied, and the electromagnetic wave attenuation rate balance of the straight section and the bent section in the cable trench is satisfied.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (6)
1. The automatic detection method for the fire protection of the cable duct is characterized by comprising the following steps of: the method comprises the following steps:
s1, arranging N thermopile infrared sensors along the length direction of a cable, detecting the infrared temperature of the cable through the thermopile infrared sensors, and presetting a temperature threshold value for fire occurrence;
s2, when the highest temperature detected by the thermopile infrared sensor exceeds a preset temperature threshold, judging that a fire disaster occurs, recording the highest temperature, a pixel value and a light intensity value detected by the thermopile infrared sensor when the thermopile infrared sensor with the highest temperature value is nearest to the fire disaster, substituting the highest temperature and the pixel value into an infrared temperature measurement model to obtain a fire disaster distance D1, substituting the light intensity value into a light intensity and distance formula to obtain a fire disaster distance D2;
and S3, setting different weights for the fire distance D1 and the fire distance D2 by adopting an analytic hierarchy process, wherein the final fire distance is the sum of products of the fire distance D1 and the fire distance D2 and the weights thereof.
2. The automatic fire detection method for the cable duct according to claim 1, wherein: the infrared temperature measurement model in the S2 is as follows: t=0.8p+0.365d+454;
wherein T is the highest temperature detected by the thermopile infrared sensor; p is the pixel value detected by the thermopile infrared sensor; d is the fire distance of the fire from the thermopile infrared sensor.
3. The automatic fire detection method for the cable duct according to claim 1, wherein: the formula of the light intensity and the distance in the S2 is as follows: lg (I) =lg (a) -xlg (R);
wherein I is light intensity; a is a constant; r is the distance from the fire disaster to the thermopile infrared sensor; and x is a coefficient, and the coefficient is obtained by analyzing the formula through a least square method.
4. The automatic fire detection method for the cable duct according to claim 1, wherein: the step S2 further comprises the following steps: when no fire occurs, taking the temperature value detected by the thermopile infrared sensor as a reference value; when a fire disaster occurs, the maximum temperature detected by the thermopile infrared sensor is corrected and compensated through a temperature compensation algorithm, and the corrected maximum temperature value is substituted into an infrared temperature measurement model.
5. The automatic fire detection method for the cable duct according to claim 1, wherein: in the step S3, the weight set by the fire distance D1 is denoted as F1, the weight set by the fire distance D2 is denoted as F2, and the following relation is satisfied between F1 and F2: f1+f2=1.
6. The automatic fire detection method for the cable duct according to claim 1, wherein: the thermopile infrared sensor in S1 adopts 430MHz frequency to realize intra-channel communication.
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| CN101802576A (en) * | 2007-09-28 | 2010-08-11 | 沈憧棐 | Infrared sensor, focal plane array and infrared imaging system thereof |
| JP2013103018A (en) * | 2011-11-15 | 2013-05-30 | Nippon Koki Co Ltd | Fire suppression device for electric equipment |
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| US7810577B2 (en) * | 2005-08-30 | 2010-10-12 | Federal Express Corporation | Fire sensor, fire detection system, fire suppression system, and combinations thereof |
| US20100277298A1 (en) * | 2009-04-29 | 2010-11-04 | Delphi Technologies, Inc. | Detection system and method thereof |
| ITUB20155886A1 (en) * | 2015-11-25 | 2017-05-25 | A M General Contractor S P A | Infrared radiation fire detector with compound function for confined space. |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101802576A (en) * | 2007-09-28 | 2010-08-11 | 沈憧棐 | Infrared sensor, focal plane array and infrared imaging system thereof |
| JP2013103018A (en) * | 2011-11-15 | 2013-05-30 | Nippon Koki Co Ltd | Fire suppression device for electric equipment |
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