CN105096514A - Intelligent fire hazard alarm method of temperature process monitoring based on infrared shooting - Google Patents
Intelligent fire hazard alarm method of temperature process monitoring based on infrared shooting Download PDFInfo
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- CN105096514A CN105096514A CN201510468194.2A CN201510468194A CN105096514A CN 105096514 A CN105096514 A CN 105096514A CN 201510468194 A CN201510468194 A CN 201510468194A CN 105096514 A CN105096514 A CN 105096514A
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000005070 sampling Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 description 7
- 230000003993 interaction Effects 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
Classifications
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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
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- General Physics & Mathematics (AREA)
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Abstract
The invention relates to an intelligent fire hazard alarm method of temperature process monitoring based on infrared shooting. A monitoring object is sampled in set frequency via more than one infrared shooting device in a monitoring place, sampled images are processed into image data by an infrared image collector, the image data is input to a data processing center, the data processing center calculates the highest temperature and a high-temperature region of the infrared image, the difference between the highest temperature and the highest temperature of a last image as well as the area difference between the high-temperature region and a high-temperature region of the last image are calculated, the differences are divided by the collection time interval to obtain the change speed of the highest temperature as well as the area expansion speed, the data is compared with standard set values, and if certain data exceeds the standard set value, an alarm device is started to raise the alarm. The temperature change process of the monitoring object is monitored, the temperature change is compared with set normal parameters of the monitoring object in real time, alarm is raised once abnormity occurs, and alarm against abnormity is much earlier.
Description
Technical field
The present invention relates to a kind of temperature anomaly alarm method.Particularly relate to the fire disaster intelligently alarm method that a kind of temperature course based on infrared photography is monitored.
Background technology
At present, there is the place of fire protection requirement in large-scale public place, bullet train, residence etc., often all adopt smoke alarm as real-time fire-disaster monitoring device [CN201410432571].Once smog reaches certain concentration, start warning immediately.Also the alarm had adopts the supervising device [203931082U] of concentration as fire of CO2 or CO gas.Also there is the patent of invention [CN201410414478] utilizing infrared detection equipment to carry out reporting to the police, utilize infrared video camera to monitor transformer, if transformer temperature overrun, just can report to the police.
Because the shortcoming of traditional alarm smog is that warning lag time is long, usually wait until that alarm rings, fire is uncontrollable; And it is infrared, often only be to provide a maximum temperature, temperature meets or exceeds mxm. and reports to the police, but actual conditions are often in the process of temperature rising, temperature changing speed imply that abnormal generation, and alarm needs abnormal accumulation to arrive certain degree could to start alarm, cause presignal delay to lose best disposal and cause heavy losses opportunity; And the occasion had, there is high temperature in itself, high temperature area or high temperature area rate of propagation must be limited within the specific limits, although maximum temperature does not exceed normal range, but high-temperature region area overrun or high temperature area rate of propagation indicate too soon by breaking out of fire, conventional Infrared intrusion detector does not monitor this process, the alarm often intensity of a fire that gives the alarm has reached unmanageable degree, also there will be presignal delay thus lose best treating machine to cause casualties and heavy losses.
Summary of the invention
Technical matters to be solved by this invention is, provide a kind of can the fire disaster intelligently alarm method monitored of the change of monitoring temperature and the temperature area temperature course based on infrared photography that carries out reporting to the police.
The technical solution adopted in the present invention is: the fire disaster intelligently alarm method that a kind of temperature course based on infrared photography is monitored, the frequency of monitoring objective by setting is sampled by more than one infrared eye in monitoring place, the image of sampling is treated to view data by infrared image acquisition device, described view data enters into data processing centre (DPC), data processing centre (DPC) is to the maximum temperature of infrared image, high-temperature area calculates, and with the maximum temperature in upper piece image, high-temperature area area asks poor, then by difference divided by the acquisition interval time, draw maximum temperature pace of change and area expansion rate, the setting value of these data and standard is compared, if the overproof setting value of certain data, start warning device, give the alarm.
The process of described data processing centre (DPC) comprises the steps:
1) infrared data image is read;
2) by the analysis to image, maximum temperature T in image is obtained
imaximum temperature T is less than with image
iregion area S between setting value T degree
i;
3) maximum temperature T in image is judged
iwhether be less than the alarm temperature T of setting
b, be enter next step, otherwise enter step 10);
4) maximum temperature T in image is judged
iwhether be greater than the alarm temperature T of setting
j, be enter next step, otherwise return step 1);
5) determining step 2) described in region area S
iwhether be less than the high-temperature region warning area S of setting
b, be enter next step, otherwise enter step 10);
6) temperature ramp-up rate V is obtained
t;
7) temperature ramp-up rate V is judged
twhether be less than temperature changing speed setting threshold value V
bt, be enter next step, otherwise enter step 10);
8) high-temperature region area rate of propagation V is obtained
m;
9) high-temperature region area rate of propagation V is judged
mwhether be less than high-temperature region rate of change of area setting threshold value V
bm, be return step 1), otherwise enter step 10);
10) step 1 is returned after alarm equipment alarm).
Step 2) described in setting value T degree be the temperature of more than 3 degree.
It is characterized in that, step 6) described in obtain temperature ramp-up rate V
tadopt following formula to obtain:
V
t＝(T
i－T
i-1)/Δt
Wherein, T
i-1for a upper collection period image maximum temperature, Δ t is the time interval between adjacent twice image acquisition.
It is characterized in that, step 8) described in obtain high-temperature region area rate of propagation V
madopt following formula to obtain:
V
m＝(S
i－S
i-1)/Δt
Wherein, S
i-1for maximum temperature T in a upper collection period image
i-1maximum temperature T is less than with image
i-1region area between setting value T degree, Δ t is the time interval between adjacent twice image acquisition.
The fire disaster intelligently alarm method that a kind of temperature course based on infrared photography of the present invention is monitored, using the process of the variable condition of temperature as monitored object, the temperature changing process of energy purpose monitoring object, comprise maximum temperature, temperature ramp-up rate, high-temperature region area and expansion rate, by comparing in real time with the normal parameter that monitoring target sets, thus occurring just to start warning in abnormal process, thus greatly shift to an earlier date the time of abnormal alarm, for the time of taking effective Disposal Measures to provide valuable, thus eliminate abnormal in time, avoid casualties and the heavy losses of property.Meanwhile, this device also may be used for the state of temperature monitoring of some key equipments, and the duty of judgment device by monitor procedure temperature variation situation, provides abnormal alarm in advance.
Accompanying drawing explanation
Fig. 1 is the present invention's supervisory system used;
Fig. 2 is the fire disaster intelligently alarm method process flow diagram that a kind of temperature course based on infrared photography of the present invention is monitored;
In figure
1: infrared eye 2: infrared image acquisition device
3: data processing centre (DPC) 4: human-computer interaction device
5: warning device
Fig. 3 to obtain in image highest temperature region and is less than maximum temperature T
iregion area S between setting value T degree
iflow process.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the fire disaster intelligently alarm method that a kind of temperature course based on infrared photography of the present invention is monitored is described in detail.
The fire disaster intelligently alarm method that a kind of temperature course based on infrared photography of the present invention is monitored, carry out being provided with intelligent alarm system as shown in Figure 1, sampled by the frequency of more than one infrared eye 1 pair of monitoring objective by setting, the image of sampling is treated to view data by infrared image acquisition device 2, described view data enters into data processing centre (DPC) 3, data processing centre (DPC) is to the maximum temperature of infrared image, high-temperature area calculates, and with the maximum temperature in upper piece image, high-temperature area area asks poor, then by the interval time of difference divided by twice image acquisition, draw maximum temperature pace of change and area expansion rate, the setting value of these data and standard is compared, if the overproof setting value of certain data, start warning device 5, give the alarm.Described supervisory system also includes human-computer interaction device 4.
As shown in Figure 2, the process of described data processing centre (DPC) comprises the steps:
1) infrared video camera gathers infrared image and sends into the capture card forming infrared image acquisition device, namely reads infrared data image by capture card, converts view data to and sends into data processing centre (DPC);
2) data processing centre (DPC) is according to color of image value, to the analysis of image, obtains maximum temperature T in image
imaximum temperature T is less than with in image
iregion area S between setting value T degree
i, described setting value T degree is decided to be the temperature of more than 3 degree.
Concrete employing prior art as shown in Figure 3, comprising:
(1) temperature of each pixel is calculated according to the parameter of infrared eye;
(2) temperature maximum is calculated;
(3) calculate the pixel number of temperature T degree lower than maximum temperature, convert area to.
3) maximum temperature T in image is judged
iwhether be less than the alarm temperature T of setting
b, be enter next step, otherwise enter step 10);
4) judge in image, whether maximum temperature Ti is greater than the alarm temperature T of setting
j, be enter next step, otherwise will not pay close attention to, return step 1) and Resurvey, if be greater than the alarm temperature Tj of setting, the condition of this alarm and high-temperature region area, temperature changing speed are relevant with area expansion rate;
5) determining step 2) described in region area S
iwhether be less than the high-temperature region warning area S of setting
b, be enter next step, otherwise enter step 10) and the pace of change of accounting temperature;
6) temperature ramp-up rate V is obtained
t;
Described obtains temperature ramp-up rate V
tadopt following formula to obtain:
V
t＝(T
i－T
i-1)/Δt
Wherein, T
i-1for a upper collection period image maximum temperature, Δ t is the time interval between adjacent twice image acquisition.
7) temperature ramp-up rate V is judged
twhether be less than temperature changing speed setting threshold value V
bt, be enter next step, the speed of reference area change, otherwise enter step 10);
8) high-temperature region area rate of propagation V is obtained
m;
Described obtains high-temperature region area rate of propagation V
madopt following formula to obtain:
V
m＝(S
i－S
i-1)/Δt
Wherein, S
i-1for being less than maximum temperature T in a upper collection period image
i-1region area between setting value T degree, Δ t is the time interval between adjacent twice image acquisition.
9) high-temperature region area rate of propagation V is judged
mwhether be less than high-temperature region rate of change of area setting threshold value V
bm, be return step 1), otherwise, mean that temperature increase area increases above permissible value, enter step 10);
10) step 1 is returned after alarm equipment alarm) Resurvey.
Illustrate: the gas-cooker supposing to monitor with this intelligent alarm system a kitchen, in kitchen, gas-cooker is the high temperature allowing certain area, can set an alarm temperature, the region area of setting warning.The region area of setting warning is because if the intensity of a fire spreads, even if temperature does not exceed alarm temperature, also can report to the police.Because traditional smoke transducer, need smog to reach finite concentration, once report to the police, the intensity of a fire has spread out, this can in the process that the intensity of a fire begins to extend or temperature sharply raises, and alarm.First gather infrared image during firepower maximum when multiple normally use, analyze when normally working, maximum temperature, high-temperature area area, temperature changing speed and area expansion rate, then using normal processes intermediate value as corresponding setting value, in monitor procedure, high-temperature region enlarged areas exceeds normal range or expansion rate is too fast, starts warning device immediately.
Or for a certain equipment, first gather the image of normal temperature and area change, then normal temperature changing speed and high temperature rate of change of area is analyzed, using these data as setting value, if equipment in the course of the work, more than a setting value, just there is abnormal alarm in temperature Rate's rate of change or high temperature area change rate.
Claims (5)
1. the fire disaster intelligently alarm method monitored of the temperature course based on infrared photography, it is characterized in that, the frequency of monitoring objective by setting is sampled by more than one infrared eye in monitoring place, the image of sampling is treated to view data by infrared image acquisition device, described view data enters into data processing centre (DPC), data processing centre (DPC) is to the maximum temperature of infrared image, high-temperature area calculates, and with the maximum temperature in upper piece image, high-temperature area area asks poor, then by difference divided by the acquisition interval time, draw maximum temperature pace of change and area expansion rate, the setting value of these data and standard is compared, if the overproof setting value of certain data, start warning device, give the alarm.
2. the fire disaster intelligently alarm method monitored of a kind of temperature course based on infrared photography according to claim 1, it is characterized in that, the process of described data processing centre (DPC) comprises the steps:
1) infrared data image is read;
2) by the analysis to image, maximum temperature T in image is obtained
imaximum temperature T is less than with image
iregion area S between setting value T degree
i;
3) maximum temperature T in image is judged
iwhether be less than the alarm temperature T of setting
b, be enter next step, otherwise enter step 10);
4) maximum temperature T in image is judged
iwhether be greater than the alarm temperature T of setting
j, be enter next step, otherwise return step 1);
5) determining step 2) described in region area S
iwhether be less than the high-temperature region warning area S of setting
b, be enter next step, otherwise enter step 10);
6) temperature ramp-up rate V is obtained
t;
7) temperature ramp-up rate V is judged
twhether be less than temperature changing speed setting threshold value V
bt, be enter next step, otherwise enter step 10);
8) high-temperature region area rate of propagation V is obtained
m;
9) high-temperature region area rate of propagation V is judged
mwhether be less than high-temperature region rate of change of area setting threshold value V
bm, be return step 1), otherwise enter step 10);
10) step 1 is returned after alarm equipment alarm).
3. the fire disaster intelligently alarm method monitored of a kind of temperature course based on infrared photography according to claim 2, is characterized in that, step 2) described in setting value T degree be the temperature of more than 3 degree.
4. the fire disaster intelligently alarm method monitored of a kind of temperature course based on infrared photography according to claim 2, is characterized in that, step 6) described in obtain temperature ramp-up rate V
tadopt following formula to obtain:
V
t＝(T
i－T
i-1)/Δt
Wherein, T
i-1for a upper collection period image maximum temperature, Δ t is the time interval between adjacent twice image acquisition.
5. the fire disaster intelligently alarm method monitored of a kind of temperature course based on infrared photography according to claim 2, is characterized in that, step 8) described in obtain high-temperature region area rate of propagation V
madopt following formula to obtain:
V
m＝(S
i－S
i-1)/Δt
Wherein, S
i-1for maximum temperature T in a upper collection period image
i-1maximum temperature T is less than with image
i-1region area between setting value T degree, Δ t is the time interval between adjacent twice image acquisition.
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| CN201510468194.2A CN105096514B (en) | 2015-07-31 | 2015-07-31 | Intelligent fire hazard alarm method of temperature process monitoring based on infrared shooting |
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Cited By (16)
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|---|---|---|---|---|
| CN105723418A (en) * | 2016-01-31 | 2016-06-29 | 冯旋宇 | Method and system for detecting temperature of fire |
| CN107331100A (en) * | 2017-08-01 | 2017-11-07 | 深圳市盛路物联通讯技术有限公司 | A kind of fire alarm method and system based on Internet of Things |
| CN107958567A (en) * | 2017-11-07 | 2018-04-24 | 佛山市云米电器科技有限公司 | Visual response alarm system, method and device |
| CN109191752A (en) * | 2018-07-28 | 2019-01-11 | 郝志杰 | Remote fire alarm method, apparatus, storage medium and the electronic equipment of thermoinduction figure |
| CN109360370A (en) * | 2018-11-30 | 2019-02-19 | 广州高新兴机器人有限公司 | A method of it is detected based on robot pyrotechnics |
| CN109461282A (en) * | 2019-01-09 | 2019-03-12 | 上海欧萨数据技术有限公司 | A kind of device and method monitoring temperature |
| CN109993941A (en) * | 2019-03-20 | 2019-07-09 | 合肥名德光电科技股份有限公司 | Thermal imaging fire alarm system and its image processing method based on artificial intelligence |
| CN110120143A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of inflammable and explosive region smog intelligent monitor system of Petrochemical Enterprises |
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| CN110825147A (en) * | 2019-12-24 | 2020-02-21 | 南通理工学院 | Intelligent temperature and humidity monitoring system and method |
| CN111488868A (en) * | 2020-03-27 | 2020-08-04 | 贵州电网有限责任公司 | High-temperature area identification method and system based on transformer infrared image |
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| CN112863106A (en) * | 2021-02-01 | 2021-05-28 | 重庆金康赛力斯新能源汽车设计院有限公司 | Fire prevention alarm method and system and electronic equipment |
| CN112857574A (en) * | 2021-01-06 | 2021-05-28 | 大连交通大学 | Indoor safety remote alarm system based on infrared temperature monitoring |
| CN113256928A (en) * | 2021-05-14 | 2021-08-13 | 中科永安(六安)科技有限公司 | Fire detection method based on image recognition and temperature determination algorithm |
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| CN105723418A (en) * | 2016-01-31 | 2016-06-29 | 冯旋宇 | Method and system for detecting temperature of fire |
| CN107331100A (en) * | 2017-08-01 | 2017-11-07 | 深圳市盛路物联通讯技术有限公司 | A kind of fire alarm method and system based on Internet of Things |
| CN107958567A (en) * | 2017-11-07 | 2018-04-24 | 佛山市云米电器科技有限公司 | Visual response alarm system, method and device |
| CN110120143A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of inflammable and explosive region smog intelligent monitor system of Petrochemical Enterprises |
| CN109191752A (en) * | 2018-07-28 | 2019-01-11 | 郝志杰 | Remote fire alarm method, apparatus, storage medium and the electronic equipment of thermoinduction figure |
| CN109360370A (en) * | 2018-11-30 | 2019-02-19 | 广州高新兴机器人有限公司 | A method of it is detected based on robot pyrotechnics |
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| CN109993941A (en) * | 2019-03-20 | 2019-07-09 | 合肥名德光电科技股份有限公司 | Thermal imaging fire alarm system and its image processing method based on artificial intelligence |
| CN110578987A (en) * | 2019-08-08 | 2019-12-17 | 安徽美博智能电器有限公司 | Cloud-based air conditioner fireproof system and method and storage medium |
| CN110578987B (en) * | 2019-08-08 | 2021-02-19 | 安徽美博智能电器有限公司 | Cloud-based air conditioner fireproof system and method and storage medium |
| CN110743121A (en) * | 2019-10-22 | 2020-02-04 | 珠海格力电器股份有限公司 | Fire-fighting treatment method and refrigeration equipment |
| CN110743121B (en) * | 2019-10-22 | 2020-10-02 | 珠海格力电器股份有限公司 | Fire-fighting treatment method and refrigeration equipment |
| CN110825147A (en) * | 2019-12-24 | 2020-02-21 | 南通理工学院 | Intelligent temperature and humidity monitoring system and method |
| CN111488868A (en) * | 2020-03-27 | 2020-08-04 | 贵州电网有限责任公司 | High-temperature area identification method and system based on transformer infrared image |
| CN111488868B (en) * | 2020-03-27 | 2023-06-30 | 贵州电网有限责任公司 | High-temperature area identification method and system based on transformer infrared image |
| CN112048739A (en) * | 2020-08-31 | 2020-12-08 | 中国铝业股份有限公司 | Safety early warning method and safety early warning system for aluminum electrolysis cell |
| CN112048739B (en) * | 2020-08-31 | 2021-11-02 | 中国铝业股份有限公司 | Safety early warning method and safety early warning system for aluminum electrolysis cell |
| CN112857574A (en) * | 2021-01-06 | 2021-05-28 | 大连交通大学 | Indoor safety remote alarm system based on infrared temperature monitoring |
| CN112863106A (en) * | 2021-02-01 | 2021-05-28 | 重庆金康赛力斯新能源汽车设计院有限公司 | Fire prevention alarm method and system and electronic equipment |
| CN113256928A (en) * | 2021-05-14 | 2021-08-13 | 中科永安(六安)科技有限公司 | Fire detection method based on image recognition and temperature determination algorithm |
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