CN105938017A - Chemical fire and ordinary fire recognition method, device and equipment - Google Patents

Abstract

The invention discloses a method, device, equipment and system for identifying chemical fire and common fire. This method finds the peak value estimate, constructs the valley value interval according to the peak value estimate, and then calculates the peak-valley depth value of the valley value interval, and finally judges whether the target flame is a chemical fire or not by whether the peak-valley depth value of the valley value interval exceeds the threshold ordinary fire. The invention judges whether the target flame is a chemical fire or an ordinary fire by analyzing the flame spectrum and according to the particularity of the flame spectrum, and provides firefighting assistance for firefighters, thereby avoiding the problem of fueling the flame instead of extinguishing the fire with water.

Description

A method, device and equipment for identifying chemical fire and ordinary fire

technical field

The present invention relates to factory fire protection.

Background technique

In factories, especially various chemical plants, fire protection is a prerequisite for safe production. Due to the particularity of the materials stored in the factory building, when a fire occurs, water is often not used as a fire extinguishing material. Because some materials, such as reactive metals, have the ability to chemically react exothermically with water and burn in the water, thereby fueling the fire. Therefore, when a fire occurs in a factory, it is very important to judge whether the flame is an ordinary fire or a chemical fire.

Contents of the invention

The problem to be solved by the invention: identification of ordinary fire and chemical fire.

In order to solve the above problems, the scheme adopted by the present invention is as follows:

According to a method for chemical industry fire and ordinary fire identification of the present invention, the method may further comprise the steps:

S1: Obtain spectral sampling data of the target flame; the spectral sampling data is composed of light intensity sequences corresponding to light wave wavelengths;

S2: Find the peak value of the peak point and the valley value of the valley point in sequence from the spectral sampling data to form a peak-valley sequence composed of peak and valley values;

S3: Construct a valley interval set according to the peak-valley sequence; the valley interval set is a collection of valley intervals; the valley interval is composed of peak a, valley m, and peak b;

S4: Calculate the peak-to-valley depth value of each valley interval in the valley interval set;

S5: Determine whether the peak-to-valley depth value of each valley value interval is greater than the threshold value; when the peak-to-valley depth value in the valley value interval is greater than the threshold value, it is judged that the current flame is a chemical fire, otherwise it is an ordinary fire.

Further, the calculation of the peak-to-valley depth value of the valley value interval described in step S4 adopts the following formula: Wherein, d is the peak-to-valley depth value of the valley value interval, a and b are two peaks in the valley value interval, and m is the valley value in the valley value interval.

According to a device for identifying chemical fire and ordinary fire according to the present invention, the device includes the following modules:

M1: used to obtain the spectral sampling data of the target flame; the spectral sampling data is composed of a light intensity sequence corresponding to the wavelength of the light wave;

M2: It is used to sequentially find the peak point of the peak point and the valley value of the valley point from the spectral sampling data to form a peak-valley sequence composed of peaks and valleys;

M3: used to construct a valley interval set according to the peak-valley sequence; the valley interval set is a collection of valley intervals; the valley interval is composed of peak a, valley m, and peak b;

M4: used to calculate the peak-to-valley depth value of each valley interval in the valley interval set;

M5: It is used to judge whether the peak-to-valley depth value of each valley value interval is greater than the threshold value; when the peak-to-valley depth value in the valley value interval is greater than the threshold value, it is judged that the current flame is a chemical fire, otherwise it is an ordinary fire.

Further, the calculation of the peak-to-valley depth value of the valley value interval described in module M4 adopts the following formula: Wherein, d is the peak-to-valley depth value of the valley value interval, a and b are two peaks in the valley value interval, and m is the valley value in the valley value interval.

According to a kind of equipment for identifying chemical fire and ordinary fire according to the present invention, the equipment includes a spectrum sampler, a processor and a display device; the spectrum sampler and the processor are connected through a data line; the spectrum sampler is used to collect the spectrum of the target flame Sampling data, and transmitting the spectral sampling data to the processor through the data line; the processor analyzes the spectral sampling data and determines that the target flame is a chemical fire through the above-mentioned method for identifying chemical fire and ordinary fire Or ordinary fire; the display device is connected with the processor and is used to display whether the target flame is a chemical fire or an ordinary fire.

According to a system for identifying chemical fire and ordinary fire according to the present invention, the system includes a spectral sampler and a host; the spectral sampler is connected to the host; the spectral sampler is used to collect the spectral sampling data of the target flame, and the The spectral sampling data is sent to the host; the host includes a sampling interface, a processor and a memory; the processor is connected to the spectral sampler through the sampling interface, and is used to identify all fires by the above-mentioned method for identifying chemical fires and common fires Analyze the spectral sampling data to determine whether the target flame is a chemical fire or an ordinary fire.

The technical effect of the present invention is as follows: the present invention judges whether the target flame is a chemical fire or an ordinary fire according to the particularity of the flame spectrum by analyzing the flame spectrum, and provides help for firefighters to extinguish the fire, thereby avoiding the problem of fueling the flame instead of extinguishing the fire with water.

Description of drawings

Fig. 1 and Fig. 2 are three-dimensional structural schematic diagrams of equipment for identifying handheld chemical fires and common fires. Among them, Figure 1 is the front-end perspective, and Figure 2 is the rear-end perspective.

Fig. 3 is a schematic diagram of the electrical connection of the equipment for identifying the handheld chemical fire and ordinary fire.

Fig. 4 is a spectrum curve of a common fire flame.

Fig. 5 is a spectrum curve of a chemical fire flame.

Fig. 6 is a structural schematic diagram of a system for identifying chemical fires and common fires.

FIG. 7 is a schematic diagram of the electrical structure of the host 32 in FIG. 6 .

detailed description

The present invention will be described in further detail below in conjunction with the accompanying drawings.

Example 1

As shown in Figures 1 and 2, this embodiment is a device for identifying chemical fires and common fires. Fig. 3 is a schematic diagram of the internal electrical connection of the device of this embodiment. The device in this embodiment is a handheld device, including a housing 11 , a main control circuit board 21 installed inside the housing 11 , a spectral sampler 22 and a battery, and a display 12 installed on the housing 11 . Two handles 14 are respectively provided on the outer sides of the housing 11 . The display 12 is located at the rear end of the housing 11 , and the lens 13 of the spectrum sampler 22 is located at the front end of the housing 11 . The spectrum sampler 22 is a built-in spectrometer, which is provided with a lens 13, a prism and a photoelectric sensor. The spectral sampler 22 collects the spectral sampling data of the target flame through the lens 13 , the prism and the photoelectric sensor, and then transmits the spectral sampling data to the main control circuit board 21 through the data line. The main control circuit board 21 is provided with a processor 23 and a memory 25 . The spectral sampling data transmitted to the main control circuit board 21 is finally transmitted to the processor 23 for analysis. The processor 23 judges whether the target flame is a chemical fire or an ordinary fire by analyzing the spectral sampling data, and displays the spectral sampling data and the judgment result on the display 12 . The spectral sampling data is graphically displayed on the display 12 . The processor 23 analyzes the spectral sampling data to determine whether the target flame is a chemical fire or a common fire, which is the method for identifying chemical fire and common fire referred to in the present invention.

The chemical industry fire of the present embodiment and the method for common fire identification are as follows:

Firstly, in step S1 , the spectral sampling data of the target flame is acquired through the spectral sampler 22 . The spectral sampling data is composed of light intensity sequences corresponding to light wavelengths, and the light intensity sequence P={p ₁ , p ₂ , p ₃ , . . . , p _N } can be represented by an array. Wherein, p _i is the light intensity value of the i-th wavelength interval, the wavelength represented by the light intensity value p _i+1 is greater than the wavelength represented by the light intensity value p _i , and N represents the number of wavelength intervals. The light intensity sequence P can be expressed graphically as the spectral curves shown in Fig. 4 and Fig. 5 . Wherein, Fig. 4 is a spectrum curve of a common fire flame, and Fig. 5 is a spectrum curve of a chemical fire flame. In Fig. 4 and Fig. 5, the abscissa is the light wave wavelength, and the ordinate is the light intensity value, and the sampled wavelength range is 200nm-1200nm. In Figure 4, the middle part of the two dotted lines is the visible light region with a wavelength of 400nm to 760nm, the left part is the ultraviolet region with a wavelength less than 400nm, and the right part is the infrared region with a wavelength greater than 760nm. It should be noted that those skilled in the art understand that the light intensity value collected by the spectral sampler 22 represents the light intensity value of a specific wavelength interval, therefore, the aforementioned "spectral sampling data is composed of light intensity sequences corresponding to the wavelength of the light wave" The "wavelength of light" in , actually represents the wavelength range.

Then, in step S2, the peak value of the peak point and the valley value of the valley point are sequentially found from the spectral sampling data to form a peak-valley value sequence composed of the peak value and the valley value. The peak point and the valley point are also the extreme points in the spectral curves in Fig. 4 and Fig. 5 . The peak value of the peak point is also the maximum value in the spectral curve; the valley value of the valley point is also the minimum value in the spectral curve. Specific to the discontinuous light intensity sequence P={p ₁ , p ₂ , p ₃ ,..., p _N } of the spectral sampling data, the peak value p _x of the peak point satisfies the following two conditions: the first The condition is p _x =max{p _x-1 , p _x-2 , p _x-3 , . . . }; the second condition is that p _x is greater than p _x+1 . The valley value p _y of the valley point satisfies the following two conditions: the first condition is p _y =min{p _y-1 , p _y-2 , p _y-3 ,...}; the second The condition is that p _y is smaller than p _y+1 . Since there are multiple peak points and multiple valley points in the spectral sampling data, correspondingly, there are many peaks corresponding to the peak points and valleys corresponding to the valley points, so the peak-valley sequence V={v ₁ , v ₂ , v ₃ ,..., v _K }. Among them, v _i is the light intensity value, when i is an even number, it is a peak value, when i is an odd number, it is a valley value, v ₁ and v _K are valley values; K represents the total number of peak and valley values, which must be an odd number. Generally speaking, v ₁ =p ₁ , v _K =p _N , p ₁ and p _N must be valley values, if p ₁ and p _N are peak values, p ₁ and p _N will be removed as abnormal data, so as to ensure v ₁ and v _K must be valley values.

Then, in step S3, a set of valley value intervals is constructed according to the sequence of peak and valley values. A valley interval set is a collection of valley intervals. The valley interval is composed of peak a, valley m, and peak b. As mentioned above, the peak-to-valley sequence V={v ₁ , v ₂ , v ₃ , . . . , v _K } is a sequence of alternate peaks and valleys. The valley interval set can be expressed as W={w ₁ , w ₂ , w ₃ , . . . , w _T }. Among them, w _i is the ith valley interval. Valley interval w _i ={a _i , m _i , b _i }. Among them, a _i is the peak a of the i-th valley interval, m _i is the valley m of the i-th valley interval, and b _i is the peak b of the i-th valley interval. Specific to the spectral curve, as shown in Figure 5, a and b are two peaks, m is a valley, and a valley interval is indicated between two dashed lines. The valley interval w _i satisfies: a _i =v _2i , m _i =v _2i+1 , b _i =v _2i+2 . That is, the peak-to-valley sequence V can construct T=(K-1)/2 valley value intervals.

Then, step S4, calculating the peak-to-valley depth value of each valley interval in the valley interval set. The peak-to-valley depth value of the valley value interval in this embodiment is calculated using the following formula: Wherein, d is the peak-to-valley depth value of the valley value interval, a and b are two peaks in the valley value interval, and m is the valley value in the valley value interval. That is, for the peak-to-valley depth value d _i of a specific valley value interval w _i : It should be noted that the calculation method of the peak-to-valley depth value used in this embodiment is only the simplest calculation method. Those skilled in the art understand that other methods can also be used for calculation, such as calculating the valley value and The variance or standard deviation between two peaks m, a, b can also be used as the peak-to-valley depth value of the valley value interval.

Finally, in step S5, it is judged whether the peak-to-valley depth value of each valley value interval is greater than the threshold value; when the peak-to-valley depth value in the valley value interval is greater than the threshold value, it is judged that the current flame is a chemical fire, otherwise it is an ordinary fire. The threshold here is a preset fixed value. Those skilled in the art understand that the calculation methods of the peak-to-valley depth values in different valley value intervals need to correspond to different thresholds.

The principle of the method for identification of chemical fire and common fire in this embodiment is as follows: the flame of fire combustion is usually the combustion of various sundries, therefore, under the combustion characteristic spectrum and absorption spectrum of various miscellaneous items, the flame spectrum curve is as follows As shown in Figure 4, it is relatively smooth, and there are no obvious special peaks and valleys. This is an ordinary fire. When a fire occurs in a chemical plant, a certain special item occupies a relatively large share. At this time, the flame curve shows that there are obvious special peaks and valleys as shown in Figure 5. Because the flame spectral curve itself is shown to be similar to a normal distribution curve, therefore, the present embodiment adopts the method of measuring the peak-to-valley depth value of the valley value interval to find out the valley value interval as shown in Figure 5, thereby making it easier to judge The characteristic peaks and valleys can be distinguished to distinguish chemical fire from ordinary fire.

Example 2

FIG. 6 is a system for identifying chemical fires and common fires. The system is a subsystem of an automatic fire-fighting system in a chemical plant, including a spectral sampler 31 and a host 32 . The spectrum sampler 31 is connected to the host computer 32 through a data line. The spectral sampler 31 is used to collect the spectral sampling data of the target flame, and transmit the spectral sampling data to the host computer 32 . The host 32 , as shown in FIG. 7 , includes a sampling interface 43 , a processor 41 and a memory 42 . The sampling interface 43 is used to connect the host computer 32 and the spectrum sampler 31 . In this embodiment, the sampling interface 43 adopts an RS485 interface. Thus, the processor 41 is connected to the spectral sampler 31 through the sampling interface 43 , and obtains spectral sampling data of the target flame through the spectral sampler 31 . After receiving the spectral sampling data of the target flame, the processor 41 analyzes it to determine whether the target flame is a chemical fire or a common fire. The method for the processor 41 to analyze the spectral sampling data to determine whether the target flame is a chemical fire or a common fire is the same as the method for identifying a chemical fire and a common fire in Embodiment 1, and will not be repeated here. The processor 41 controls the fire attack system to use fire fighting liquid or water to extinguish the fire according to the analysis of whether the target flame is a chemical fire or an ordinary fire. If it is a chemical fire, use firefighting fluid to extinguish the fire, and if it is an ordinary fire, use water to extinguish the fire. Fire attack system and fire fighting fluid are not the scope of the present invention, so there is no need to repeat them.

It should be noted that, in this embodiment, an RS485 interface is used to connect the spectral sampler 31 and the host 32 . Those skilled in the art understand that other methods, such as network port or Wifi, may also be used.

Claims (6)

1. method for distinguishing known by the fiery and common fire of chemical industry, it is characterised in that the method comprises the following steps:

S1: obtain the spectrum sample data of target flame；Described spectrum sample data are made up of the light intensity sequence that optical wavelength is corresponding；

S2: sequentially find out the peak value of peak point and the valley of valley point, the peak-to-valley value sequence that composition is made up of peak value and valley from spectrum sample data；

S3: according to peak-to-valley value sequence construct valley Interval Set；Described valley Interval Set is the set that valley is interval；Described valley interval is made up of peak value a, valley m, peak value b；

S4: calculate the Valley Depth value that in described valley Interval Set, each valley is interval；

S5: judge that whether the Valley Depth value in each valley interval is more than threshold value；Judging that when there is the interval Valley Depth value of valley more than threshold value current flame is chemical industry fire, being otherwise common fire.

2. method for distinguishing known by the fiery and common fire of chemical industry as claimed in claim 1, it is characterised in that the Valley Depth value employing equation below that calculating valley described in step S4 is interval:Wherein, d is the Valley Depth value that valley is interval, and two peak values that a and b is respectively in valley interval, m is the valley in valley interval.

3. the device that the fiery and common fire of chemical industry identifies, it is characterised in that this device includes with lower module:

M1: for obtaining the spectrum sample data of target flame；Described spectrum sample data are made up of the light intensity sequence that optical wavelength is corresponding；

M2: for sequentially finding out the peak value of peak point and the valley of valley point from spectrum sample data, the peak-to-valley value sequence that composition is made up of peak value and valley；

M3: for according to peak-to-valley value sequence construct valley Interval Set；Described valley Interval Set is the set that valley is interval；Described valley interval is made up of peak value a, valley m, peak value b；

M4: for calculating the Valley Depth value that in described valley Interval Set, each valley is interval；

M5: for judging that whether the Valley Depth value in each valley interval is more than threshold value；Judging that when there is the interval Valley Depth value of valley more than threshold value current flame is chemical industry fire, being otherwise common fire.

4. the device that the fiery and common fire of chemical industry identifies as claimed in claim 3, it is characterised in that the Valley Depth value employing equation below that calculating valley described in module M4 is interval:Wherein, d is the Valley Depth value that valley is interval, and two peak values that a and b is respectively in valley interval, m is the valley in valley interval.

5. the equipment that the fiery and common fire of chemical industry identifies, it is characterised in that this equipment includes spectrum sample device, processor and display device；Spectrum sample device is connected by data wire with processor；Described spectrum sample device is for gathering the spectrum sample data of target flame, and by described data wire, described spectrum sample data are sent to described processor；Described processor is known method for distinguishing by the fiery and common fire of chemical industry as claimed in claim 1 or 2 and described spectrum sample data analysis being judged, target flame is that chemical industry is fiery or commonly fiery；Described display device is connected with described processor, is used for showing that target flame is that chemical industry is fiery or commonly fiery.

6. the system that the fiery and common fire of chemical industry identifies, it is characterised in that this system includes spectrum sample instrument and main frame；Spectrum sample instrument is connected with main frame；Described spectrum sample instrument is for gathering the spectrum sample data of target flame, and described spectrum sample data are sent to described main frame；Described main frame includes Sampling Interface, processor and memorizer；Described processor connects described spectrum sample instrument by Sampling Interface, for knowing method for distinguishing by the fiery and common fire of chemical industry as claimed in claim 1 or 2, described spectrum sample data analysis judging, target flame is that chemical industry is fiery or commonly fiery.