CN116071883A - Fire alarm system and method for photovoltaic power station - Google Patents
Fire alarm system and method for photovoltaic power station Download PDFInfo
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Abstract
The invention relates to the technical field of fire alarm, and discloses a fire alarm system and a fire alarm method for a photovoltaic power station, wherein the fire alarm system comprises the following steps: the system comprises an acquisition module, a processing module, an extraction module, a judgment module, an alarm module and a control module, wherein the acquisition module acquires the ambient temperature of a photovoltaic power station in real time, the acquisition module acquires the ambient image of the photovoltaic power station in real time, the processing module performs grey-scale processing and target image segmentation processing on the ambient image, a suspected flame area is obtained, the extraction module performs image feature extraction on the suspected flame area and obtains flame image features, the judgment module performs comparison judgment according to the flame image features and preset flame image features, judges whether a fire event occurs or not, and when the fire event occurs, alarm signals of different grades are sent out according to the ambient temperature. The invention can find fire and send out alarm signals of different grades in the first time, effectively realize intelligent detection of fire hidden danger of the photovoltaic power station, greatly improve the flexibility of fire alarm and reduce the occurrence of fire accidents of the photovoltaic power station.
Description
Technical Field
The invention relates to the technical field of fire alarm, in particular to a fire alarm system and a fire alarm method for a photovoltaic power station.
Background
The photovoltaic power station is a photovoltaic power generation system which is connected with a power grid and transmits power to the power grid, at present, the photovoltaic power generation system in China is mainly a direct current system, namely, electric energy generated by a solar battery charges a storage battery, and the storage battery directly supplies power to a load, for example, a solar household lighting system which is more used in northwest regions in China and a microwave station power supply system which is far away from the power grid are both direct current systems. However, as the photovoltaic power station enters the rapid development period, more and more potential safety hazards are inevitably brought along with the rapid development, wherein the fire problem of the photovoltaic power station, especially in the photovoltaic module area, once the fire occurs, the immeasurable personal and property losses can be caused, and in order to reduce the occurrence of fire accidents, the product quality is improved, and on the other hand, preventive treatment measures are added.
Traditional fire alarm device, use temperature sensing device and smoke sensing device more, monitor photovoltaic power plant through temperature sensing device and smoke sensing device, and when the conflagration takes place, inform the staff through alarm device, because photovoltaic power plant often builds the sunshine concentrated region far away from the city, consequently the conflagration of photovoltaic power plant can't in time obtain artifical processing, and traditional fire alarm device only develops the certain stage when the scene of a fire, can monitor unusual, so traditional fire alarm device can't discover the conflagration condition of a fire in the first time, consequently cause bigger loss easily.
Accordingly, there is a need for a fire alarm system and method for a photovoltaic power plant that addresses the above-described issues.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a fire alarm system and a fire alarm method for a photovoltaic power station, which can realize the intelligent detection and alarm synchronization of the fire hidden danger of the photovoltaic power station, and can timely determine the occurrence of fire events at the early stage of fire, effectively alarm, improve the timeliness of the alarm and reduce the occurrence of the fire accidents of the photovoltaic power station.
In order to achieve the above object, the present invention provides a fire alarm system for a photovoltaic power plant, the system comprising:
the acquisition module is used for acquiring the environmental temperature of the photovoltaic power station in real time;
the acquisition module is used for acquiring an environment image of the photovoltaic power station in real time when the environment temperature of the photovoltaic power station accords with a preset fire alarm condition;
the processing module is used for carrying out grey-scale processing and target image segmentation processing on the environment image of the photovoltaic power station and obtaining a suspected flame area;
the extraction module is used for extracting the image characteristics of the suspected flame area and obtaining flame image characteristics;
the judging module is used for carrying out comparison judgment according to the flame image characteristics and preset flame image characteristics and judging whether a fire event occurs or not based on a comparison result;
and the alarm module is used for sending out alarm signals of different grades according to the environmental temperature when a fire disaster event occurs.
In one embodiment, the processing module is specifically configured to:
acquiring RBG components of the environment image, and calculating gray values of the environment image based on a weighted average method;
carrying out graying treatment on the environment image according to the gray value of the environment image, and obtaining an environment gray image;
and dividing the environment gray level image according to preset image dividing conditions, and obtaining the suspected flame region.
In one embodiment, the extraction module is specifically configured to:
extracting texture features of the suspected flame region based on a gray level co-occurrence matrix;
and extracting the shape characteristics of the suspected flame region through the circularity and the eccentricity.
In one embodiment, the judging module is specifically configured to:
judging the similarity value of the flame image features and the preset flame image features, and judging whether a fire event occurs according to the relationship between the similarity value and the preset similarity value;
if the similarity value is larger than the preset similarity value, the judging module judges that a fire event occurs;
and if the similarity value is smaller than or equal to the preset similarity value, the judging module judges that the fire disaster event does not occur.
In one embodiment, the alarm module is specifically configured to:
acquiring a second environmental temperature in a preset time period, and calculating a temperature difference value between the second environmental temperature and the environmental temperature;
and sending out alarm signals of different grades according to the temperature difference value.
In order to achieve the above object, the present invention also provides a fire alarm method for a photovoltaic power station, the method comprising:
collecting the ambient temperature of a photovoltaic power station in real time;
when the ambient temperature of the photovoltaic power station accords with a preset fire alarm condition, acquiring an ambient image of the photovoltaic power station in real time;
carrying out graying treatment and target image segmentation treatment on the environment image of the photovoltaic power station, and obtaining a suspected flame area;
extracting image features of the suspected flame region, and obtaining flame image features;
comparing and judging according to the flame image characteristics and preset flame image characteristics, and judging whether a fire disaster event occurs or not based on a comparison result;
when a fire accident occurs, alarm signals of different grades are sent out according to the ambient temperature.
In one embodiment, when performing the graying process and the target image segmentation process on the environmental image of the photovoltaic power station, and obtaining the suspected flame region, the method includes:
acquiring RBG components of the environment image, and calculating gray values of the environment image based on a weighted average method;
carrying out graying treatment on the environment image according to the gray value of the environment image, and obtaining an environment gray image;
and dividing the environment gray level image according to preset image dividing conditions, and obtaining the suspected flame region.
In one embodiment, when extracting the image features of the suspected flame region and obtaining the flame image features, the method includes:
extracting texture features of the suspected flame region based on a gray level co-occurrence matrix;
and extracting the shape characteristics of the suspected flame region through the circularity and the eccentricity.
In one embodiment, when comparing and judging according to the flame image feature and the preset flame image feature, and judging whether a fire event occurs based on the comparison result, the method includes:
judging the similarity value of the flame image features and the preset flame image features, and judging whether a fire event occurs according to the relationship between the similarity value and the preset similarity value;
if the similarity value is larger than the preset similarity value, the judging module judges that a fire event occurs;
and if the similarity value is smaller than or equal to the preset similarity value, the judging module judges that the fire disaster event does not occur.
In one embodiment, when a fire event occurs, the alarm signal of different levels is sent out according to the ambient temperature, and the method comprises the following steps:
acquiring a second environmental temperature in a preset time period, and calculating a temperature difference value between the second environmental temperature and the environmental temperature;
and sending out alarm signals of different grades according to the temperature difference value.
The invention provides a fire alarm system and a fire alarm method for a photovoltaic power station, which have the following beneficial effects compared with the prior art:
the invention discloses a fire alarm system and a method for a photovoltaic power station, wherein the fire alarm system comprises the following steps: the system comprises an acquisition module, a processing module, an extraction module, a judgment module, an alarm module and a control module, wherein the acquisition module acquires the ambient temperature of a photovoltaic power station in real time, the acquisition module acquires the ambient image of the photovoltaic power station in real time, the processing module performs grey-scale processing and target image segmentation processing on the ambient image, a suspected flame area is obtained, the extraction module performs image feature extraction on the suspected flame area and obtains flame image features, the judgment module performs comparison judgment according to the flame image features and preset flame image features, judges whether a fire event occurs or not, and when the fire event occurs, alarm signals of different grades are sent out according to the ambient temperature. The invention can find fire and send out alarm signals of different grades in the first time, effectively realize intelligent detection of fire hidden danger of the photovoltaic power station, greatly improve the flexibility of fire alarm and reduce the occurrence of fire accidents of the photovoltaic power station.
Drawings
FIG. 1 shows a schematic diagram of a fire alarm system for a photovoltaic power plant in accordance with an embodiment of the present invention;
FIG. 2 shows a schematic flow chart of a fire alarm method for a photovoltaic power plant in an embodiment of the invention;
fig. 3 is a detailed flow diagram of one embodiment of fig. 2.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
The following is a description of preferred embodiments of the invention, taken in conjunction with the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention discloses a fire alarm system for a photovoltaic power plant, the system comprising:
the acquisition module is used for acquiring the environmental temperature of the photovoltaic power station in real time;
the acquisition module is used for acquiring an environment image of the photovoltaic power station in real time when the environment temperature of the photovoltaic power station accords with a preset fire alarm condition;
the processing module is used for carrying out grey-scale processing and target image segmentation processing on the environment image of the photovoltaic power station and obtaining a suspected flame area;
the extraction module is used for extracting the image characteristics of the suspected flame area and obtaining flame image characteristics;
the judging module is used for carrying out comparison judgment according to the flame image characteristics and preset flame image characteristics and judging whether a fire event occurs or not based on a comparison result;
and the alarm module is used for sending out alarm signals of different grades according to the environmental temperature when a fire disaster event occurs.
In this embodiment, the method includes: the system comprises an acquisition module, a processing module, an extraction module, a judgment module, an alarm module and a control module, wherein the acquisition module acquires the ambient temperature of a photovoltaic power station in real time, the acquisition module acquires the ambient image of the photovoltaic power station in real time, the processing module performs grey-scale processing and target image segmentation processing on the ambient image, a suspected flame area is obtained, the extraction module performs image feature extraction on the suspected flame area and obtains flame image features, the judgment module performs comparison judgment according to the flame image features and preset flame image features, judges whether a fire event occurs or not, and when the fire event occurs, alarm signals of different grades are sent out according to the ambient temperature. The invention can find fire and send out alarm signals of different grades in the first time, effectively realize intelligent detection of fire hidden danger of the photovoltaic power station, greatly improve the flexibility of fire alarm and reduce the occurrence of fire accidents of the photovoltaic power station.
It should be noted that, the preset fire alarm condition in the present invention may be at least one of that the current ambient temperature is higher than the fire alarm threshold, the rising rate of the historical ambient temperature is higher than the preset rate, or the historical ambient temperature curve is matched with the preset ambient temperature curve. The present invention is not particularly limited herein.
In some embodiments of the present application, the processing module is specifically configured to:
acquiring RBG components of the environment image, and calculating gray values of the environment image based on a weighted average method;
carrying out graying treatment on the environment image according to the gray value of the environment image, and obtaining an environment gray image;
and dividing the environment gray level image according to preset image dividing conditions, and obtaining the suspected flame region.
In this embodiment, RBG is a color standard, and is obtained by overlapping three color channels of red (R), blue (B) and green (G) to obtain various colors, RBG is the color representing the three color channels of red, green and blue, the gray image is actually color information discarded, but only 256 gray levels are used to describe the image, and since the gray image only contains one parameter of image brightness, whichever gray level is a monochrome image, the gray level of the full black image is 0, the gray level of the full white image is 255, the other gray level images represent various gray, the gray processing converts the RGB components in the color image into corresponding gray values in some way, after conversion, the RGB components of the image are equal, the image becomes a single color image, and since the value range of each component of the 24-bit true color image is 0-255, the gray level after conversion is only 256.
The invention calculates the gray value of the environment image by the following formula:
wherein Gray represents the Gray value of the ambient image, R represents the red component value of the ambient image, G represents the green component value of the ambient image, B represents the blue component value of the ambient image, X R Weights representing red component values, X G Representing the green componentWeights of values, X B The weights representing the blue component values.
The preset image segmentation conditions in the invention are to segment the environment gray level image according to the characteristics of color, edge, gray level and the like, the basis of image segmentation is a gray level image, a threshold t is firstly set according to a certain rule or practical experience, then the gray level value of a pixel point in the image is set to be a foreground, the rest pixel points are used as a background, the image can be converted into a binary image only containing two gray levels, and the invention can maximize the variance between the foreground and the background after the image segmentation by continuously iterating and selecting a threshold, wherein the threshold is the optimal threshold for the image segmentation. From the gray histogram point of view, the variance characterizes the uniformity of the gray distribution, and if the two segmented images have large differences, the larger the class variance between them. Some pixels between the foreground and the background are misclassified into the opposite class, which causes the inter-class variance to become smaller, so that when the inter-class variance drives the maximum value, the probability of misclassified image pixels is minimum.
The invention calculates a gray scale normalized histogram of an image discrete probability density function according to the following formula:
wherein N is the total image pixel point of the environment gray level image, k is the gray level, L is the maximum value, N k The number of pixels with a gray level k.
The present invention segments a gray image according to the following formula:
wherein t is a given threshold, C1 and C2 are two images after segmentation, the gray scale range of C1 is [0, t-1], and the gray scale range of C1 is [ t, L-1].
The implementation process of the method is not affected by the change of parameters such as image brightness, contrast and the like, so that the image processing efficiency is effectively improved, the fire disaster recognition error is reduced, and the false alarm rate of fire disaster recognition alarm is reduced.
In some embodiments of the present application, the extraction module is specifically configured to:
extracting texture features of the suspected flame region based on a gray level co-occurrence matrix;
and extracting the shape characteristics of the suspected flame region through the circularity and the eccentricity.
In this embodiment, since many objects have similar color values to the flame, it is impossible for the color features to accurately identify the flame, and the difference between them is that the spatial distribution and combination of the color values are different, i.e., have different textures. The invention extracts the texture features of the suspected flame area through the gray level co-occurrence matrix, and can obtain a series of texture feature statistics such as contrast, inverse difference moment and the like through the gray level co-occurrence matrix. Circularity is used to describe the complexity of an object's boundary. Because the fire flame is irregular in shape, most of interference sources are high in shape regularity, and the circularity is used as one of fire criteria, early judgment can be performed, and interference of regularly-lighted objects is eliminated. Eccentricity describes the compactness of the shape of an object. Often to distinguish between elongated objects and approximately regular interfering objects. The flame is not fixed in shape during combustion, is elongated in some cases, is flat and wide in some cases, and the shape of the interference area is rarely formed, so that the eccentricity can be used for reflecting the stretching degree of the flame area, and the difference between the flame area and the interference source with a fixed aspect ratio is represented.
The calculation formula of the circularity in the invention is as follows:
wherein C is the circularity, D is regional circumference, can obtain through its boundary chain code, and S is regional area, obtains according to regional interior bright spot number.
The calculation formula of the eccentricity ratio in the invention is as follows:
T＝min，(wh)/max(w，h)
wherein T is the eccentricity, w is the zone width value, and h is the zone height value.
The flame image features include: texture features of the suspected flame region and shape features of the suspected flame region.
The invention can eliminate other common interference sources by extracting the texture features and the shape features of the suspected flame region, reduce errors and improve reliability.
In some embodiments of the present application, the determining module is specifically configured to:
judging the similarity value of the flame image features and the preset flame image features, and judging whether a fire event occurs according to the relationship between the similarity value and the preset similarity value;
if the similarity value is larger than the preset similarity value, the judging module judges that a fire event occurs;
and if the similarity value is smaller than or equal to the preset similarity value, the judging module judges that the fire disaster event does not occur.
In this embodiment, when judging the similarity value between the flame image feature and the preset flame image feature, each pixel point of the current flame image feature and each corresponding pixel point of the preset flame image feature may be compared one by one to obtain the similarity degree of the pixel points, the similarity degree of the pixel points is taken as the similarity value, the similarity value may be a specific value, such as 80%, 85%, or the like, or the similarity value between the flame image feature and the preset flame image feature may be judged by other means.
In some embodiments of the present application, the alarm module is specifically configured to:
acquiring a second environmental temperature in a preset time period, and calculating a temperature difference value between the second environmental temperature and the environmental temperature;
and sending out alarm signals of different grades according to the temperature difference value.
In this embodiment, a temperature difference E between the second ambient temperature and the ambient temperature is calculated, a preset temperature difference matrix K is set in the alarm module, K (β1, β2, β3) is set, wherein β1 is a first preset temperature difference, β2 is a second preset temperature difference, β3 is a third preset temperature difference, and β1 is less than β2 and less than β3; the alarm module is used for sending alarm signals of different grades according to the relation between the temperature difference value and each preset temperature difference value: when E is less than or equal to beta 1, the alarm module sends out a four-stage alarm signal; when beta 1 is more than E and less than or equal to beta 2, the alarm module sends out a three-level alarm signal; when beta 2 is more than E and less than or equal to beta 3, the alarm module sends out a secondary alarm signal; when beta 3 is less than E, the alarm module sends out a first-level alarm signal. The alarm module in the invention can realize accurate alarm of fire events by sending out alarm signals of different grades, so that workers can execute different treatment measures, timely, efficiently and accurately inform related workers when a fire alarm occurs, respond in the shortest time, minimize the loss caused by the fire, greatly ensure the property safety and greatly reduce the use of manpower and material resources.
As shown in fig. 2, an embodiment of the present invention discloses a fire alarm method for a photovoltaic power station, the method comprising:
s110: collecting the ambient temperature of a photovoltaic power station in real time;
s120: when the ambient temperature of the photovoltaic power station accords with a preset fire alarm condition, acquiring an ambient image of the photovoltaic power station in real time;
s130: and carrying out grey-scale treatment and target image segmentation treatment on the environment image of the photovoltaic power station, and obtaining a suspected flame area.
As shown in fig. 2, in some embodiments of the present application, when performing a graying process and a target image segmentation process on an environmental image of the photovoltaic power plant, and obtaining a suspected flame region, the method includes:
s131: acquiring RBG components of the environment image, and calculating gray values of the environment image based on a weighted average method;
s132: carrying out graying treatment on the environment image according to the gray value of the environment image, and obtaining an environment gray image;
s133: and dividing the environment gray level image according to preset image dividing conditions, and obtaining the suspected flame region.
S140: and extracting image features of the suspected flame region, and obtaining flame image features.
In some embodiments of the present application, when extracting the image features of the suspected flame region and obtaining the flame image features, the method includes:
extracting texture features of the suspected flame region based on a gray level co-occurrence matrix;
and extracting the shape characteristics of the suspected flame region through the circularity and the eccentricity.
S150: and comparing and judging according to the flame image characteristics and preset flame image characteristics, and judging whether a fire disaster event occurs or not based on a comparison result.
In some embodiments of the present application, when comparing the flame image feature with a preset flame image feature, and determining whether a fire event occurs based on the comparison result, the method includes:
judging the similarity value of the flame image features and the preset flame image features, and judging whether a fire event occurs according to the relationship between the similarity value and the preset similarity value;
if the similarity value is larger than the preset similarity value, the judging module judges that a fire event occurs;
and if the similarity value is smaller than or equal to the preset similarity value, the judging module judges that the fire disaster event does not occur.
S160: when a fire accident occurs, alarm signals of different grades are sent out according to the ambient temperature.
In some embodiments of the present application, when a fire event occurs, sending out alarm signals of different levels according to the ambient temperature includes:
acquiring a second environmental temperature in a preset time period, and calculating a temperature difference value between the second environmental temperature and the environmental temperature;
and sending out alarm signals of different grades according to the temperature difference value.
In summary, an embodiment of the present invention includes: the system comprises an acquisition module, a processing module, an extraction module, a judgment module, an alarm module and a control module, wherein the acquisition module acquires the ambient temperature of a photovoltaic power station in real time, the acquisition module acquires the ambient image of the photovoltaic power station in real time, the processing module performs grey-scale processing and target image segmentation processing on the ambient image, a suspected flame area is obtained, the extraction module performs image feature extraction on the suspected flame area and obtains flame image features, the judgment module performs comparison judgment according to the flame image features and preset flame image features, judges whether a fire event occurs or not, and when the fire event occurs, alarm signals of different grades are sent out according to the ambient temperature. The invention can find fire and send out different alarm signals in the first time, effectively realize the intelligent detection of the fire hidden trouble of the photovoltaic power station, greatly improve the flexibility of fire alarm and reduce the occurrence of fire accidents of the photovoltaic power station.
Particularly, the invention can ensure that relevant personnel can be timely, efficiently and accurately notified when a fire alarm occurs, and respond in the shortest time, so that the loss caused by the fire is minimized, the property safety is greatly ensured, and the use of manpower and material resources is greatly reduced.
In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
Although the invention has been described hereinabove with reference to embodiments, various modifications thereof may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the features of the disclosed embodiments may be combined with each other in any manner as long as there is no structural conflict, and the entire description of these combinations is not made in the present specification merely for the sake of omitting the descriptions and saving resources. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Those of ordinary skill in the art will appreciate that: the above is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that the present invention is described in detail with reference to the foregoing embodiments, and modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A fire alarm system for a photovoltaic power plant, the system comprising:
the acquisition module is used for acquiring the environmental temperature of the photovoltaic power station in real time;
the acquisition module is used for acquiring an environment image of the photovoltaic power station in real time when the environment temperature of the photovoltaic power station accords with a preset fire alarm condition;
the processing module is used for carrying out grey-scale processing and target image segmentation processing on the environment image of the photovoltaic power station and obtaining a suspected flame area;
the extraction module is used for extracting the image characteristics of the suspected flame area and obtaining flame image characteristics;
the judging module is used for carrying out comparison judgment according to the flame image characteristics and preset flame image characteristics and judging whether a fire event occurs or not based on a comparison result;
and the alarm module is used for sending out alarm signals of different grades according to the environmental temperature when a fire disaster event occurs.
2. Fire alarm system for a photovoltaic power plant according to claim 1, characterized in that the processing module is specifically adapted to:
acquiring RBG components of the environment image, and calculating gray values of the environment image based on a weighted average method;
carrying out graying treatment on the environment image according to the gray value of the environment image, and obtaining an environment gray image;
and dividing the environment gray level image according to preset image dividing conditions, and obtaining the suspected flame region.
3. Fire alarm system for a photovoltaic power plant according to claim 1, characterized in that the extraction module is specifically adapted to:
extracting texture features of the suspected flame region based on a gray level co-occurrence matrix;
and extracting the shape characteristics of the suspected flame region through the circularity and the eccentricity.
4. The fire alarm system for a photovoltaic power plant according to claim 1, wherein the judging module is specifically configured to:
judging the similarity value of the flame image features and the preset flame image features, and judging whether a fire event occurs according to the relationship between the similarity value and the preset similarity value;
if the similarity value is larger than the preset similarity value, the judging module judges that a fire event occurs;
and if the similarity value is smaller than or equal to the preset similarity value, the judging module judges that the fire disaster event does not occur.
5. Fire alarm system for a photovoltaic power plant according to claim 1, characterized in that said alarm module is specifically adapted to:
acquiring a second environmental temperature in a preset time period, and calculating a temperature difference value between the second environmental temperature and the environmental temperature;
and sending out alarm signals of different grades according to the temperature difference value.
6. A fire alarm method for a photovoltaic power plant, the method comprising:
collecting the ambient temperature of a photovoltaic power station in real time;
when the ambient temperature of the photovoltaic power station accords with a preset fire alarm condition, acquiring an ambient image of the photovoltaic power station in real time;
carrying out graying treatment and target image segmentation treatment on the environment image of the photovoltaic power station, and obtaining a suspected flame area;
extracting image features of the suspected flame region, and obtaining flame image features;
comparing and judging according to the flame image characteristics and preset flame image characteristics, and judging whether a fire disaster event occurs or not based on a comparison result;
when a fire accident occurs, alarm signals of different grades are sent out according to the ambient temperature.
7. The fire alarm method for a photovoltaic power plant according to claim 6, wherein when performing a graying process and a target image segmentation process on an environmental image of the photovoltaic power plant and obtaining a suspected flame region, comprising:
acquiring RBG components of the environment image, and calculating gray values of the environment image based on a weighted average method;
carrying out graying treatment on the environment image according to the gray value of the environment image, and obtaining an environment gray image;
and dividing the environment gray level image according to preset image dividing conditions, and obtaining the suspected flame region.
8. The fire alarm method for a photovoltaic power plant according to claim 6, wherein when extracting the image features of the suspected flame region and obtaining the flame image features, comprising:
extracting texture features of the suspected flame region based on a gray level co-occurrence matrix;
and extracting the shape characteristics of the suspected flame region through the circularity and the eccentricity.
9. The fire alarm method for a photovoltaic power plant according to claim 6, wherein when comparing the flame image characteristics with preset flame image characteristics and judging whether a fire event occurs based on the comparison result, comprising:
judging the similarity value of the flame image features and the preset flame image features, and judging whether a fire event occurs according to the relationship between the similarity value and the preset similarity value;
if the similarity value is larger than the preset similarity value, the judging module judges that a fire event occurs;
and if the similarity value is smaller than or equal to the preset similarity value, the judging module judges that the fire disaster event does not occur.
10. The fire alarm method for a photovoltaic power plant according to claim 6, wherein when a fire event occurs, alarm signals of different levels are issued according to the ambient temperature, comprising:
acquiring a second environmental temperature in a preset time period, and calculating a temperature difference value between the second environmental temperature and the environmental temperature;
and sending out alarm signals of different grades according to the temperature difference value.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116597603A (en) * | 2023-07-19 | 2023-08-15 | 山东哲远信息科技有限公司 | Intelligent fire-fighting fire alarm system and control method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116597603A (en) * | 2023-07-19 | 2023-08-15 | 山东哲远信息科技有限公司 | Intelligent fire-fighting fire alarm system and control method thereof |
| CN116597603B (en) * | 2023-07-19 | 2023-10-10 | 山东哲远信息科技有限公司 | Intelligent fire-fighting fire alarm system and control method thereof |
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