CN112304441A - Cable trench fire-fighting automatic detection method - Google Patents
Cable trench fire-fighting automatic detection method Download PDFInfo
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- 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
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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
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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Abstract
The invention provides a cable trench fire-fighting automatic detection method, two fire distance values can be obtained according to the temperature detected by the same thermopile infrared sensor by using an infrared temperature measurement model and a light intensity and distance formula, weights are set for the two fire distance values, a more accurate fire distance value is calculated by a weighting method, the detection method has higher precision and low cost, and the method is suitable for large-scale deployment; the communication in the channel is realized by selecting 430MHz frequency, the longest effective communication distance can be met, and the balance of the electromagnetic wave attenuation rate of the straight section and the bending section in the cable trench is met.
Description
Technical Field
The invention relates to the technical field of cable trench fire fighting, in particular to an automatic detection method for cable trench fire fighting.
Background
At present, a cable trench online monitoring system uses non-contact infrared temperature measurement to realize fire early warning, an infrared array is formed by combining a plurality of non-contact infrared sensors to realize multi-point imaging, space temperature distribution in a cable trench is obtained, and a target field temperature image is determined through a filtering algorithm. Because the cable trench is buried at a position 1-1.5 meters deep underground and the temperature difference of the devices arranged in the cable trench is small, the temperature image obtained by adopting the infrared imaging technology has low contrast and poor detail resolution capability, and the occurrence of fire cannot be predicted in the initial stage of the fire and the fire resolution capability is poor; meanwhile, the infrared imaging technology is high in cost and high in price, and the cable trench is wide in arrangement range and not suitable for large-area use of the infrared imaging technology. Therefore, in order to solve the above problems, the present invention provides an automatic cable trench fire protection detection method, which provides a new method for detecting temperature and locating fire, and can accurately predict the fire situation and the specific location of the fire.
Disclosure of Invention
In view of this, the present invention provides a new method for detecting temperature and locating fire, which can accurately predict the fire situation and the specific location of the fire.
The technical scheme of the invention is realized as follows: the invention provides a cable trench fire-fighting automatic detection method, which comprises the following steps:
s1, arranging N thermopile infrared sensors along the length direction of the 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 value, judging that a fire disaster occurs, recording the highest temperature, the pixel value and the light intensity value detected by the thermopile infrared sensor when the thermopile infrared sensor detecting the highest temperature value is closest 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, and substituting the light intensity value into a light intensity and distance formula to obtain a fire disaster distance D2;
s3, different weights are set for the fire distance D1 and the fire distance D2 by adopting an analytic hierarchy process, and the final fire distance is the sum of the fire distance D1 and the fire distance D2 which are multiplied by the weights respectively.
On the basis of the above technical solution, preferably, the infrared temperature measurement model in S2 is: t ═ 0.8P +0.365D + 454;
in the formula, T is the highest temperature detected by the thermopile infrared sensor; p is a pixel value detected by the thermopile infrared sensor; d is the fire distance from the thermopile infrared sensor.
On the basis of the above technical solution, preferably, the formula of light intensity and distance in S2 is: lg (i) -lg (a) -xlg (r);
wherein I is light intensity; a is a constant; r is the distance from the fire to the thermopile infrared sensor; x is coefficient, and is obtained by analyzing the formula by a least square method.
On the basis of the above technical solution, preferably, S2 further includes the following steps: when a fire disaster does not happen, the temperature value detected by the thermopile infrared sensor is used as a reference value; when a fire disaster happens, correction compensation operation is carried out on the highest temperature detected by the thermopile infrared sensor through a temperature compensation algorithm, and the corrected highest temperature value is substituted into the infrared temperature measurement model.
In addition to the above technical solutions, it is preferable that the weight set for the fire distance D1 in S3 is F1, the weight set for the fire distance D2 is F2, and F1 and F2 satisfy the following relations: f1+ F2 is 1.
Based on the above technical solution, preferably, the thermopile infrared sensor in S1 uses a frequency of 430MHz to implement communication in the channel.
Compared with the prior art, the automatic detection method for cable trench fire fighting has the following beneficial effects:
(1) two fire 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 distance values, a more accurate fire 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, the longest effective communication distance can be met, and the balance of the electromagnetic wave attenuation rate of the straight section and the bending section in the cable trench is met.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a linear fitting graph of the relationship between pixel values and temperature in the automatic detection method for cable trench fire protection of the present invention;
FIG. 2 is a linear fitting graph of the relationship between the pixel value and the distance in the automatic detection method for cable trench fire protection of the present invention;
FIG. 3 is a table of electromagnetic wave attenuation rates of different frequencies in an automatic detection method for cable trench fire protection according to the present invention;
fig. 4 is a table of different frequencies and communication distances in the method for automatically detecting fire fighting in a cable trench according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Example 1
The invention discloses a cable trench fire-fighting automatic detection method, which specifically comprises the following steps:
s1, arranging N thermopile infrared sensors along the length direction of the 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 value, judging that a fire disaster occurs, recording the highest temperature, the pixel value and the light intensity value detected by the thermopile infrared sensor when the thermopile infrared sensor detecting the highest temperature value is closest 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, and substituting the light intensity value into a light intensity and distance formula to obtain a fire disaster distance D2;
the infrared radiation temperature measurement can be influenced by the emissivity of a measured object, and background radiation of the environment where the temperature measurement is located can enter the infrared temperature measurement system, so that a large amount of background radiation enters the infrared temperature measurement system when the distance between the infrared temperature measurement system and the measured object is larger, 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 has errors. Therefore, in order to solve the above problem, in this embodiment, a temperature compensation algorithm is used to compensate the temperature detected by the thermopile infrared sensor, and the method specifically includes the following steps: when a fire disaster does not happen, the temperature value detected by the thermopile infrared sensor is used as a reference value; and when a fire disaster occurs, correcting and compensating the highest temperature detected by the thermopile infrared sensor through a temperature compensation algorithm, and substituting the corrected highest temperature into the infrared temperature measurement model.
In this implementation, the idea of establishing the infrared temperature measurement model is as follows: firstly, acquiring a pixel value of a cable infrared image; secondly, as shown in fig. 1 and 2, establishing a coordinate system L1 of temperature and pixel values and a coordinate system L2 of pixel values and distance values, distributing a large amount of experimental data in the coordinate system L1 according to the relationship between the temperature and the pixel values, performing linear fitting, wherein 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 obtaining the relationship between the temperature and the pixel values and the relationship between the pixel values and the distance values by a least square method; and finally, integrating the relationship between the temperature and the pixel value and the relationship between the pixel value and the distance value to obtain an infrared temperature measurement model.
In this embodiment, the infrared temperature measurement model is: t ═ 0.8P +0.365D + 454; in the formula, T is the highest temperature detected by the thermopile infrared sensor; p is a pixel value detected by the thermopile infrared sensor; d is the fire distance from the thermopile infrared sensor.
Preferably, the formula of light intensity and distance is lg (i) ═ lg (a) -xlg (r); wherein I is light intensity; r is the distance from the fire to the thermopile infrared sensor; a is a constant; x is a coefficient; lg (I) is a linear function of lg (R), and then a linear function analytical formula of lg (I) and lg (R) is obtained through a least square method, so that a corresponding lg (A) constant and a coefficient x are obtained.
S3, different weights are set for the fire distance D1 and the fire distance D2 by adopting an analytic hierarchy process, and the final fire distance is the sum of the fire distance D1 and the fire distance D2 which are multiplied by the weights respectively.
Because the thermopile infrared sensor is affected by the environment and the distance, the problem of inaccurate detection temperature is easily caused, so in order to improve the detection precision of the thermopile infrared sensor, in this embodiment, two detection methods are used to realize distance detection, and a weighting method is adopted for the results obtained by the two detection methods to obtain a final result. Specifically, the weight set for the fire distance D1 is denoted as F1, the weight set for the fire distance D2 is denoted as F2, and the following relationship is satisfied between F1 and F2: f1+ F2 is 1.
The beneficial effect of this embodiment does: the infrared temperature measurement model and the light intensity and distance formula are used for obtaining two fire distance values aiming at the temperature detected by the same thermopile infrared sensor, weights are set for the two fire distance values, a more accurate fire distance value is obtained through a weighting method, the detection method is higher in precision and low in cost, and the method is suitable for large-scale deployment.
Example 2
The invention discloses a cable trench fire-fighting automatic detection method, which specifically comprises the following steps:
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 sensor exceeds a preset temperature threshold value, judging that a fire disaster occurs, taking the thermopile infrared sensor with the top three detected temperatures as a calculation object, recording the temperatures and pixel values detected by the three thermopile infrared sensors, respectively recording the three temperatures as T1, T2 and T3, and respectively recording the three pixel values as P1, P2 and P3;
s103, different weights are respectively set for the temperatures T1, T2, T3, P1, P2 and P3 by adopting an analytic hierarchy process, the final temperature of the fire is the sum of the products of the temperatures T1, T2 and T3 and the weights thereof, the final pixel value of the fire is the sum of the products of the pixel values P1, P2 and P3 and the weights thereof, and the final temperature and the final pixel value of the fire are substituted into an infrared temperature measurement model to obtain the fire distance.
In this implementation, the idea of establishing the infrared temperature measurement model is as follows: firstly, acquiring a pixel value of a cable infrared image; secondly, establishing a coordinate system L1 of temperature and pixel values and a coordinate system L2 of pixel values and distance values, distributing a large amount of experimental data in the coordinate system L1 according to the relationship between the temperature and the pixel values, performing linear fitting, wherein the fitting result of the pixel values and the temperature values is shown in the figure, the fitting result of the pixel values and the distance values is shown in the figure, and the relationship between the temperature and the pixel values and the relationship between the pixel values and the distance values are obtained through a least square method; and finally, integrating the relationship between the temperature and the pixel value and the relationship between the pixel value and the distance value to obtain an infrared temperature measurement model.
In this embodiment, the infrared temperature measurement model is: t ═ 0.8P +0.365D + 454; in the formula, T is the highest temperature detected by the thermopile infrared sensor; p is a pixel value detected by the thermopile infrared sensor; d is the fire distance from the thermopile infrared sensor.
The beneficial effect of this embodiment does: when a fire disaster occurs, the thermopile infrared sensors with the first three detected temperature ranks are taken as calculation objects, the temperature values and the pixel values detected by the three thermopile infrared sensors are weighted respectively, the final temperature value and the pixel value are determined according to the weighting result, and the final fire disaster distance is obtained according to the infrared temperature measurement model.
Example 3
On the basis of embodiment 1 or embodiment 2, the present embodiment provides a communication method for the thermopile infrared sensor in the cable trench.
Due to the tunnel effect of the electromagnetic wave, the propagation of the electromagnetic wave in the tunnel is different from that in the open space, and the propagation characteristics of the electromagnetic wave at different frequencies are also different. The cable trench has a straight section and a bent section, and the attenuation rate is smaller when the frequency is higher under the same tunnel section as known in the prior art; in the case where the radius of the curved section is fixed, the higher the frequency of the electromagnetic wave, the larger the attenuation ratio thereof. In order to achieve the attenuation rate balance of the electromagnetic wave in the straight section and the curved section and improve the communication efficiency in the cable trench, in this embodiment, as shown in fig. 3 and 4, in this embodiment, the attenuation rates of the electromagnetic wave at different frequencies and the communication distance are tested, and the condition of the cable trench is comprehensively considered, in this embodiment, it is preferable to select a frequency of 430MHz to achieve the communication in the channel.
The beneficial effect of this embodiment does: the communication in the channel is realized by selecting 430MHz frequency, the longest effective communication distance can be met, and the balance of the electromagnetic wave attenuation rate of the straight section and the bending section in the cable trench is met.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A cable trench fire-fighting automatic detection method is characterized by comprising the following steps: the method comprises the following steps:
s1, arranging N thermopile infrared sensors along the length direction of the 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 value, judging that a fire disaster occurs, recording the highest temperature, the pixel value and the light intensity value detected by the thermopile infrared sensor when the thermopile infrared sensor detecting the highest temperature value is closest 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, and substituting the light intensity value into a light intensity and distance formula to obtain a fire disaster distance D2;
s3, different weights are set for the fire distance D1 and the fire distance D2 by adopting an analytic hierarchy process, and the final fire distance is the sum of the fire distance D1 and the fire distance D2 which are multiplied by the weights respectively.
2. The automatic fire-fighting detection method for the cable trench according to claim 1, characterized in that: the S2 intermediate infrared temperature measurement model is as follows: t ═ 0.8P +0.365D + 454;
in the formula, T is the highest temperature detected by the thermopile infrared sensor; p is a pixel value detected by the thermopile infrared sensor; d is the fire distance from the thermopile infrared sensor.
3. The automatic fire-fighting detection method for the cable trench according to claim 1, characterized in that: the formula of the light intensity and the distance in the S2 is: lg (i) -lg (a) -xlg (r);
wherein I is light intensity; a is a constant; r is the distance from the fire to the thermopile infrared sensor; x is coefficient, and is obtained by analyzing the formula by a least square method.
4. The automatic fire-fighting detection method for the cable trench according to claim 1, characterized in that: the S2 further includes the steps of: when a fire disaster does not happen, the temperature value detected by the thermopile infrared sensor is used as a reference value; when a fire disaster happens, correction compensation operation is carried out on the highest temperature detected by the thermopile infrared sensor through a temperature compensation algorithm, and the corrected highest temperature value is substituted into the infrared temperature measurement model.
5. The automatic fire-fighting detection method for the cable trench according to claim 1, characterized in that: in S3, the weight set for the fire distance D1 is F1, the weight set for the fire distance D2 is F2, and the following relationships are satisfied between F1 and F2: f1+ F2 is 1.
6. The automatic fire-fighting detection method for the cable trench according to claim 1, characterized in that: the thermopile infrared sensor in the S1 adopts 430MHz frequency to realize communication in the channel.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070044979A1 (en) * | 2005-08-30 | 2007-03-01 | Federal Express Corporation | Fire sensor, fire detection system, fire suppression system, and combinations thereof |
| CN101802576A (en) * | 2007-09-28 | 2010-08-11 | 沈憧棐 | Infrared sensor, focal plane array and infrared imaging system thereof |
| US20100277298A1 (en) * | 2009-04-29 | 2010-11-04 | Delphi Technologies, Inc. | Detection system and method thereof |
| JP2013103018A (en) * | 2011-11-15 | 2013-05-30 | Nippon Koki Co Ltd | Fire suppression device for electric equipment |
| US20170147884A1 (en) * | 2015-11-25 | 2017-05-25 | A.M. GENERAL CONTRACTOR S.p.A. | Infrared radiation fire detector with composite function for confined spaces |
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- 2020-11-13 CN CN202011270291.8A patent/CN112304441B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070044979A1 (en) * | 2005-08-30 | 2007-03-01 | Federal Express Corporation | Fire sensor, fire detection system, fire suppression system, and combinations thereof |
| CN101802576A (en) * | 2007-09-28 | 2010-08-11 | 沈憧棐 | Infrared sensor, focal plane array and infrared imaging system thereof |
| US20100277298A1 (en) * | 2009-04-29 | 2010-11-04 | Delphi Technologies, Inc. | Detection system and method thereof |
| JP2013103018A (en) * | 2011-11-15 | 2013-05-30 | Nippon Koki Co Ltd | Fire suppression device for electric equipment |
| US20170147884A1 (en) * | 2015-11-25 | 2017-05-25 | A.M. GENERAL CONTRACTOR S.p.A. | Infrared radiation fire detector with composite function for confined spaces |
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