CN105427514A - Pyroelectric fire recognition method based on automatic tracking and positioning jet extinguishing device - Google Patents
Pyroelectric fire recognition method based on automatic tracking and positioning jet extinguishing device Download PDFInfo
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- CN105427514A CN105427514A CN201510998525.3A CN201510998525A CN105427514A CN 105427514 A CN105427514 A CN 105427514A CN 201510998525 A CN201510998525 A CN 201510998525A CN 105427514 A CN105427514 A CN 105427514A
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- 230000005616 pyroelectricity Effects 0.000 claims description 5
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
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Abstract
The invention discloses a pyroelectric fire recognition method based on an automatic tracking and positioning jet extinguishing device. According to the method, 360 degrees of fire detection within the protection range of the extinguishing device can be realized, and interference on detection caused by sunlight, arc light and light can be effectively reduced. According to the method, infrared pyroelectric sensor signals are acquired in real time, a CPU processes the acquired infrared pyroelectric sensor data, and fire within the protection range of the extinguishing device is judged according to data features after processing. The invention aims at providing the fire feature automatic recognition method in case of fire so as to effectively recognize fire in the protection area in the primary work flow.
Description
Technical field
The present invention relates to technical field of fire detection, particularly relate to the pyroelectricity method for recognizing fire disaster based on automatic track and localization jet extinguishing device.
Background technology
In recent years, China achieves certain achievement for the research of large-space clean factory building fire hazard monitoring, wherein, automatic fire fighting cannon as integrating detection, locate, the Intelligent fire extinguishing system puted out a fire to save life and property has vast potential for future development.In some unattended key preservation areas, also more and more higher to the technical requirement of fire monitor.Find a kind of efficient self-extinguishing method and will become an important directions of following fire monitor development.
In recent years, along with the development of various fire sensor technology, automatic track and localization jet extinguishing device mostly in the market is based on ultraviolet flame sensor and infra red flame sensor.
Ultraviolet phototube belongs to non-semiconductor components, mechanical vibration, environment for use, and the life-span is shorter comparatively speaking, and work this kind of sensor is generally frangible under vacuum conditions, self-excitation, drives demand high voltage, outputs signal as pulse signal is not easily analyzed.
Infrared thermal release electric belongs to semiconductor devices, long service life, and operating voltage is low, exports as continuous signal, is more prone to the features such as analysis.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of mode analyzed based on pyroelectric infrared sensor voltage waveform signal, waveform character when analyzing breaking out of fire, and whether judge currently has fire.Be specially a kind of pyroelectricity method for recognizing fire disaster based on automatic track and localization jet extinguishing device.
Object of the present invention can be achieved through the following technical solutions:
Based on a pyroelectricity method for recognizing fire disaster for automatic track and localization jet extinguishing device, comprise the following steps:
1) AD is according to setpoint frequency pick-up transducers data, the data press-in FiFo after collection;
2) according to the threshold value arranged, compare each element in FiFo one by one, counting exceeds the element number CHx_num of threshold value;
3) sample flex point number CHx_power_limit in FiFo is calculated;
Sample in FiFo is handled as follows one by one, to obtain sample flex point number in FiFo;
Collecting sample number is NPT, and array is ir_dataCHx [NPT], i be array index scope is Wave crest and wave trough differential filtering parameter at 0 to NPT-1, dey;
A) from 0, three adjacent numbers are once gone to compare:
If ir_dataCHx [i] is less than ir_dataCHx [i+1], and ir_dataCHx [i+1] is greater than the non-cut-off type crest of ir_dataCHx [i+2];
If ir_dataCHx [i] is less than ir_dataCHx [i+1], and ir_dataCHx [i+1] equals the cut-off of ir_dataCHx [i+2] rising crest;
If ir_dataCHx [i] equals ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the cut-off of ir_dataCHx [i+2] decline crest;
If ir_dataCHx [i] is greater than ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the non-cut-off type trough of ir_dataCHx [i+2];
If ir_dataCHx [i] equals ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the cut-off of ir_dataCHx [i+2] rising trough;
If ir_dataCHx [i] is greater than ir_dataCHx [i+1], and ir_dataCHx [i+1] equals the cut-off of ir_dataCHx [i+2] decline trough;
The point meeting above condition is counted, and first vegetarian refreshments is preserved;
B) difference Peak-and-Valley Filtering
To first vegetarian refreshments a) preserved, carry out calculus of differences, result is taken absolute value and compares with dey, calculate the data bulk being greater than dey, be Wave crest and wave trough quantity as one of parameter judging fire foundation;
4) standard deviation computing is carried out to sample, and preserve result of calculation as one of the parameter judging fire foundation CHx_Std_Dev;
5) sample carries out Fourier transform
Calculate the mean value CHx_avg of 0.5hz to the 2.5hz harmonic component amplitude after Fourier transform;
6) multiple features fusion judges: out-of-limit sample number CHx_num, sample flex point number CHx_power_limit, sample standard deviation CHx_Std_Dev, 0.5hz to 2.5hz harmonic wave average amplitude carries out compound and computing CHx_avg, is then fire alarm when described all parameters all meet response lag;
7) fire detecting and alarm signal is sent.
Beneficial effect of the present invention:
1) the present invention utilizes, and waveform recognition and frequency-domain analysis technology effectively can reduce rate of false alarm, improve the identification to fire;
2) need reference background from original pyroelectric infrared sensor detection, change into without background detections mode, reduce hardware cost and the volume of product;
3) pyroelectric infrared sensor reliability and serviceable life are higher than photoelectric tube flame sensor, greatly reduce the maintenance cost of enterprise;
4) evade because industrial occasions uses ultraviolet light, the problems such as the ultraviolet wrong report caused;
5) compare from existing market infrared thermal release electric and ultraviolet phototube price, infrared thermal release electric price is relatively cheap.
Accompanying drawing explanation
Fig. 1 is a kind of based on automatic track and localization jet extinguishing device pyroelectric infrared sensor detection algorithm analysis process figure.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
As shown in Figure 1, one is given based on automatic track and localization jet extinguishing device pyroelectric infrared sensor detection algorithm analysis process figure;
1) AD gathers the sensing data of 4 passages according to setpoint frequency, the data press-in FiFo after collection;
2) according to the threshold value arranged, each element in more each passage FiFo, counts the element number CH0_num that each passage exceeds threshold value, CH0_num, CH2_num, CH3_num one by one;
3) sample flex point number CH0_power_limit in each passage FiFo is calculated, CH0_power_limit, CH2_power_limit, CH3_power_limit;
Sample in each passage FiFo is handled as follows one by one, to obtain sample flex point number in each passage FiFo.
Collecting sample number is NPT, and array is ir_dataCHx [NPT], i be array index scope is Wave crest and wave trough differential filtering parameter at 0 to NPT-1, dey.
A) from 0, three adjacent numbers are once gone to compare:
If ir_dataCHx [i] is less than ir_dataCHx [i+1], and ir_dataCHx [i+1] is greater than the non-cut-off type crest of ir_dataCHx [i+2];
If ir_dataCHx [i] is less than ir_dataCHx [i+1], and ir_dataCHx [i+1] equals the cut-off of ir_dataCHx [i+2] rising crest;
If ir_dataCHx [i] equals ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the cut-off of ir_dataCHx [i+2] decline crest;
If ir_dataCHx [i] is greater than ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the non-cut-off type trough of ir_dataCHx [i+2];
If ir_dataCHx [i] equals ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the cut-off of ir_dataCHx [i+2] rising trough;
If ir_dataCHx [i] is greater than ir_dataCHx [i+1], and ir_dataCHx [i+1] equals the cut-off of ir_dataCHx [i+2] decline trough;
The point meeting above condition is counted, and first vegetarian refreshments is preserved.
B) difference Peak-and-Valley Filtering
To first vegetarian refreshments a) preserved, carry out calculus of differences, result is taken absolute value and compares with dey, calculate the data being greater than dey, be Wave crest and wave trough quantity as one of parameter judging fire foundation.
4) standard deviation computing is carried out to sample, and preserve result of calculation as one of the parameter judging fire foundation CH0_Std_Dev, CH1_Std_Dev, CH2_Std_Dev, CH3_Std_Dev;
5) each channel sample carries out Fourier transform;
Calculate mean value CH0_avg, CH1_avg, CH2_avg, the CH3_avg of 0.5hz to the 2.5hz harmonic component amplitude after Fourier transform
6) do multiple features fusion to four passages respectively to judge: out-of-limit sample number CHx_num, sample flex point number CHx_power_limit, sample standard deviation CHx_Std_Dev, 0.5hz to 2.5hz harmonic wave average amplitude carry out compound and computing CHx_avg, be then fire alarm when described all parameters all meet response lag;
7) fire detecting and alarm signal is sent.
Above-described embodiment of the present invention, does not form limiting the scope of the present invention.Any amendment done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within claims of the present invention.
Claims (1)
1., based on the pyroelectricity method for recognizing fire disaster of automatic track and localization jet extinguishing device, comprise the following steps:
1) AD is according to setpoint frequency pick-up transducers data, the data press-in FiFo after collection;
2) according to the threshold value arranged, compare each element in FiFo one by one, counting exceeds the element number CHx_num of threshold value;
3) sample flex point number CHx_power_limit in FiFo is calculated;
Sample in FiFo is handled as follows one by one, to obtain sample flex point number in FiFo;
Collecting sample number is NPT, and array is ir_dataCHx [NPT], i be array index scope is Wave crest and wave trough differential filtering parameter at 0 to NPT-1, dey;
A) from 0, three adjacent numbers are once gone to compare:
If ir_dataCHx [i] is less than ir_dataCHx [i+1], and ir_dataCHx [i+1] is greater than the non-cut-off type crest of ir_dataCHx [i+2];
If ir_dataCHx [i] is less than ir_dataCHx [i+1], and ir_dataCHx [i+1] equals the cut-off of ir_dataCHx [i+2] rising crest;
If ir_dataCHx [i] equals ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the cut-off of ir_dataCHx [i+2] decline crest;
If ir_dataCHx [i] is greater than ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the non-cut-off type trough of ir_dataCHx [i+2];
If ir_dataCHx [i] equals ir_dataCHx [i+1], and ir_dataCHx [i+1] is less than the cut-off of ir_dataCHx [i+2] rising trough;
If ir_dataCHx [i] is greater than ir_dataCHx [i+1], and ir_dataCHx [i+1] equals the cut-off of ir_dataCHx [i+2] decline trough;
The point meeting above condition is counted, and first vegetarian refreshments is preserved;
B) difference Peak-and-Valley Filtering
To first vegetarian refreshments a) preserved, carry out calculus of differences, result is taken absolute value and compares with dey, calculate the data bulk being greater than dey, be Wave crest and wave trough quantity as one of parameter judging fire foundation;
4) standard deviation computing is carried out to sample, and preserve result of calculation as one of the parameter judging fire foundation CHx_Std_Dev;
5) sample carries out Fourier transform
Calculate the mean value CHx_avg of 0.5hz to the 2.5hz harmonic component amplitude after Fourier transform;
6) multiple features fusion judges: out-of-limit sample number CHx_num, sample flex point number CHx_power_limit, sample standard deviation CHx_Std_Dev, 0.5hz to 2.5hz harmonic wave average amplitude carries out compound and computing CHx_avg, is then fire alarm when described all parameters all meet response lag;
7) fire detecting and alarm signal is sent.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105854210A (en) * | 2016-04-25 | 2016-08-17 | 武汉理工大学 | Intelligent fire extinguishing system and method based on distributed pyroelectric sensing network |
| CN107680322A (en) * | 2017-09-28 | 2018-02-09 | 合肥科大立安安全技术股份有限公司 | A kind of electric network fault analog power design based on hardware in loop technology |
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| CN105854210B (en) * | 2016-04-25 | 2020-06-02 | 武汉理工大学 | Intelligent fire extinguishing system and method based on distributed pyroelectric sensing network |
| CN107680322A (en) * | 2017-09-28 | 2018-02-09 | 合肥科大立安安全技术股份有限公司 | A kind of electric network fault analog power design based on hardware in loop technology |
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Address after: No. 13 Tianhu Road, Hefei High-tech Zone, Anhui Province Patentee after: Hefei Kedalian Safety Technology Co., Ltd. Address before: No. 13 Tianhu Road, Hefei High-tech Zone, Anhui Province Patentee before: Hefei KDLi'an Safety Technology Co., Ltd. |