CN115206047B - Fireproof alarm method and system for photovoltaic module area - Google Patents
Fireproof alarm method and system for photovoltaic module area Download PDFInfo
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- 230000007480 spreading Effects 0.000 claims abstract description 26
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- 230000009471 action Effects 0.000 claims abstract description 11
- 239000000779 smoke Substances 0.000 claims description 53
- 239000013618 particulate matter Substances 0.000 claims description 18
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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
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
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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
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The application discloses a fire prevention alarm method for a photovoltaic module region, which comprises the following steps: the method comprises the steps of obtaining particle concentration in air of a photovoltaic module area, determining a to-be-processed area based on the particle concentration, collecting defogging image information in the to-be-processed area, obtaining a first temperature signal and a second temperature signal in the to-be-processed area, obtaining a temperature change rate in the to-be-processed area according to the first temperature signal and the second temperature signal, constructing a fire development model based on the defogging image information and the temperature change rate, determining fire spreading trend information in the to-be-processed area based on the fire development model, obtaining fire spreading trend information, and taking alarm action. According to the application, the fire spreading trend information is determined according to the mapping relation between the constructed fire development model and the preset fire model, so that the damage caused by fire emergency and randomness can be effectively coped with, the economic loss is greatly reduced, and meanwhile, the fire fighting personnel can be utilized to formulate targeted fire fighting measures.
Description
Technical Field
The invention relates to the technical field of fireproof alarm, in particular to a method and a system for fireproof alarm in a photovoltaic module area.
Background
Along with the development and progress of science and technology in China, new energy power generation has become a future development trend, wherein a photovoltaic module is a power generation device capable of generating direct current when being exposed to sunlight, and the photovoltaic module is composed of thin solid photovoltaic cells which are almost all made of semiconductor materials (such as silicon), and has the characteristics of no pollution and high power generation efficiency. However, wind and grass can easily gather near the purse net, fire disasters can easily occur in hot summer, equipment in the photovoltaic module area is damaged, a rail is easily crushed, and the efficiency of the photovoltaic module is seriously affected.
At present, many areas are provided with fire alarm devices, and when the smoke concentration in the air is greater than the standard concentration, the smoke sensor is arranged to control the alarm to give an alarm so as to remind workers to extinguish the fire. In the prior art, the fire condition cannot be analyzed according to factors such as the fire combustion condition, the fire spreading speed and the like, so that the sudden and random effects caused by the fire are unpredictable.
Therefore, how to provide a fireproof alarm method capable of predicting fire and preventing fire burst and randomness from bringing great harm to the photovoltaic module area is a technical problem to be solved at present.
Disclosure of Invention
The embodiment of the invention provides a fire prevention alarm method and a fire prevention alarm system for a photovoltaic module area, which are used for predicting fire by removing smoke image information and fire temperature change rate so as to solve the technical problem that the prior art cannot prevent the serious hazard caused by the sudden nature and randomness of fire according to the real-time fire.
In some embodiments of the present application, the area to be treated is determined based on the concentration of particulate matter in the air in the photovoltaic module region by acquiring the concentration of particulate matter, if the concentration of particulate matter is greater than or equal to the threshold value of particulate matter concentration, acquiring the position coordinates of the corresponding smoke sensor, and determining the area to be treated according to the position coordinates. According to the application, the particulate matter concentration in the photovoltaic module area is obtained through the smoke sensor, when the particulate matter concentration is detected to be higher than the threshold value, the corresponding smoke sensor is accurately positioned at the moment, the fire place can be accurately mastered, the fireproof alarm time is greatly saved, and the fire can be controlled in time.
In some embodiments of the present application, defogging image information in a region to be processed is acquired in real time, and initial image information in the region to be processed is acquired, wherein the initial image information is image information containing smog; acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information; and mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information. In the application, when the fire place is positioned, the image acquisition device is started at the moment, so that the fire image information of the fire place can be acquired in real time, because the dense smoke can be generated during the fire, the acquired image information is unclear, the smoke image information after the smoke is removed can be clearly obtained through the smoke removing step in the application, clear images of the fire place can be provided for staff or firefighters, the fire fighting measures related to the staff are greatly facilitated, the unexpected harm caused by the sudden nature of the fire is effectively avoided, and the economic loss is greatly avoided.
In some embodiments of the present application, a fire development model is constructed based on the defogging image information and the temperature change rate, and fire spread trend information in the region to be treated is determined based on the fire development model; and acquiring the fire spread trend information in real time, and taking alarm action. Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance; and determining fire spread trend information in the to-be-processed area according to the mapping relation between the fire development model and the preset fire model. According to the application, the spreading information of the fire is determined through the mapping relation between the fire development model constructed in real time and the pre-stored preset fire model, the fire point can be visually controlled in time by observing the fire spreading information, equipment in the area with overlarge fire is prevented from being damaged, and the fire is timely reminded when the current environment is predicted to change, so that firefighters can timely make countermeasures.
In order to achieve the above purpose, the invention provides a fire alarm method for a photovoltaic module region, which comprises the following steps:
acquiring the concentration of particles in air in a photovoltaic module area, determining a region to be treated based on the concentration of the particles, and acquiring defogging image information in the region to be treated in real time;
acquiring a first temperature signal in the area to be processed, and acquiring a second temperature signal in the area to be processed in a preset time;
acquiring the temperature change rate in the region to be processed in real time according to the first temperature signal and the second temperature signal;
Constructing a fire development model based on the defogging image information and the temperature change rate, and determining fire spreading trend information in the to-be-processed area based on the fire development model;
and acquiring the fire spread trend information in real time, and taking alarm action.
In some embodiments of the present application, when determining the area to be treated based on the particulate matter concentration, specifically:
Judging and comparing the particle concentration obtained in real time with a particle concentration threshold value, and determining whether the region to be treated is determined according to a judging result:
If the concentration of the particulate matters is greater than or equal to the threshold value of the concentration of the particulate matters, acquiring the position coordinates of the corresponding smoke sensor, and determining a region to be treated according to the position coordinates;
and if the particle concentration is smaller than the particle concentration threshold value, the area to be treated is not determined.
In some embodiments of the present application, when acquiring defogging image information in the to-be-processed area in real time, the method specifically includes:
Acquiring initial image information in the area to be processed, wherein the initial image information is image information containing smoke;
Acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information;
And mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information.
In some embodiments of the present application, a calculation formula for acquiring a temperature change rate in a region to be processed in real time according to the first temperature signal and the second temperature signal is as follows:
Wherein T is a temperature change rate, T 2 is a second temperature signal, and T 1 is a first temperature signal.
In some embodiments of the present application, when determining the fire spread trend information in the area to be treated based on the fire development model, the method specifically includes:
Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance;
Determining fire spread trend information in the area to be processed according to the mapping relation between the fire development model and the preset fire model;
The preset fire model is a model obtained by training through image features of an image training set by using a machine learning algorithm.
In order to achieve the above object, the present invention further provides a fire alarm system for a photovoltaic module region, the system comprising:
the acquisition module is used for acquiring the concentration of particles in the air in the photovoltaic module area, determining a region to be treated based on the concentration of the particles, and acquiring defogging image information in the region to be treated in real time;
The determining module is used for acquiring a first temperature signal in the area to be processed and acquiring a second temperature signal in the area to be processed within preset time;
acquiring the temperature change rate in the region to be processed in real time according to the first temperature signal and the second temperature signal;
The generating module is used for constructing a fire development model based on the defogging image information and the temperature change rate and determining fire spread trend information in the area to be processed based on the fire development model;
And the alarm module is used for acquiring the fire spreading trend information in real time and taking alarm actions.
In some embodiments of the present application, in the collecting module, when determining the area to be treated based on the particulate matter concentration, specifically:
Judging and comparing the particle concentration obtained in real time with a particle concentration threshold value, and determining whether the region to be treated is determined according to a judging result:
If the concentration of the particulate matters is greater than or equal to the threshold value of the concentration of the particulate matters, acquiring the position coordinates of the corresponding smoke sensor, and determining a region to be treated according to the position coordinates;
and if the particle concentration is smaller than the particle concentration threshold value, the area to be treated is not determined.
In some embodiments of the present application, when the acquiring module acquires defogging image information in the to-be-processed area in real time, the method specifically includes:
Acquiring initial image information in the area to be processed, wherein the initial image information is image information containing smoke;
Acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information;
And mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information.
In some embodiments of the present application, in the determining module, a calculation formula for acquiring, in real time, a temperature change rate in the area to be processed according to the first temperature signal and the second temperature signal is as follows:
Wherein T is a temperature change rate, T 2 is a second temperature signal, and T 1 is a first temperature signal.
In some embodiments of the present application, when determining the fire spread trend information in the area to be treated based on the fire development model in the generating module, the method specifically includes:
Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance;
Determining fire spread trend information in the area to be processed according to the mapping relation between the fire development model and the preset fire model;
The preset fire model is a model obtained by training through image features of an image training set by using a machine learning algorithm.
The invention provides a fire prevention alarm method and a fire prevention alarm system for a photovoltaic module area, which have the following beneficial effects compared with the prior art:
The application discloses a fire prevention alarm method for a photovoltaic module region, which comprises the following steps: the method comprises the steps of obtaining particle concentration in air of a photovoltaic module area, determining a to-be-processed area based on the particle concentration, collecting defogging image information in the to-be-processed area, obtaining a first temperature signal and a second temperature signal in the to-be-processed area, obtaining a temperature change rate in the to-be-processed area according to the first temperature signal and the second temperature signal, constructing a fire development model based on the defogging image information and the temperature change rate, determining fire spreading trend information in the to-be-processed area based on the fire development model, obtaining fire spreading trend information, and taking alarm action. According to the method, the fire place can be accurately mastered, the fireproof alarm time is saved to a great extent, and the fire can be mastered in time. According to the constructed mapping relation between the fire development model and the preset fire model, the fire spreading trend information is determined, the harm caused by fire emergency and randomness can be effectively coped with, the economic loss is greatly reduced, and meanwhile, the fire fighting personnel can be utilized to make targeted fire fighting measures.
Drawings
Fig. 1 shows a schematic flow chart of a fire alarm method for a photovoltaic module region in an embodiment of the invention;
fig. 2 shows a schematic structural diagram of a fire alarm system for a photovoltaic module area in an embodiment of the present invention.
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 describing 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 thus 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 above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
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 invention discloses a fire alarm method for a photovoltaic module region, which comprises the following steps:
step S101, acquiring the concentration of particles in air in a photovoltaic module area, determining a region to be treated based on the concentration of the particles, and acquiring defogging image information in the region to be treated in real time;
Step S102, acquiring a first temperature signal in the area to be processed, and acquiring a second temperature signal in the area to be processed in a preset time;
step S103, acquiring the temperature change rate in the area to be processed in real time according to the first temperature signal and the second temperature signal;
step S104, constructing a fire development model based on the defogging image information and the temperature change rate, and determining fire spread trend information in the to-be-processed area based on the fire development model;
Step S105, fire spread trend information is acquired in real time, and alarm actions are taken.
In some embodiments of the present application, when determining the area to be treated based on the particulate matter concentration, specifically:
Judging and comparing the particle concentration obtained in real time with a particle concentration threshold value, and determining whether the region to be treated is determined according to a judging result:
If the concentration of the particulate matters is greater than or equal to the threshold value of the concentration of the particulate matters, acquiring the position coordinates of the corresponding smoke sensor, and determining a region to be treated according to the position coordinates;
and if the particle concentration is smaller than the particle concentration threshold value, the area to be treated is not determined.
In order to accurately locate the fire point in the photovoltaic module area, the fire fighting time is saved. In the application, a plurality of smoke sensors are arranged in a photovoltaic assembly area, each smoke sensor is uniformly distributed in the photovoltaic assembly area, when the smoke sensor acquires the concentration of the particulate matters in real time, the relationship between the acquired concentration of the particulate matters and a threshold value is judged, when the concentration of the particulate matters is larger than the threshold value, the occurrence of fire is indicated at the moment, the corresponding smoke sensor is automatically positioned, the position coordinates of the smoke sensor are acquired, and then the fire place, namely the area to be treated, is determined, and when the concentration of the particulate matters is smaller than the threshold value, no fire occurs at the moment, and no treatment is carried out. According to the application, the particulate matter concentration in the photovoltaic module area is obtained through the smoke sensor, when the particulate matter concentration is detected to be higher than the threshold value, the corresponding smoke sensor is accurately positioned at the moment, the fire place can be accurately mastered, the fireproof alarm time is greatly saved, and the fire can be controlled in time.
In some embodiments of the present application, when acquiring defogging image information in the to-be-processed area in real time, the method specifically includes:
Acquiring initial image information in the area to be processed, wherein the initial image information is image information containing smoke;
Acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information;
And mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information.
In order to obtain clear image information of the misfire point, the method is described. When the fire point is determined, initial image information of the fire point, namely image information containing smoke, is acquired, a large amount of smoke is generated when a fire disaster actually occurs, the smoke covers the fire point, the fire situation cannot be clearly seen through the image acquisition device in time, at the moment, the image information containing the smoke is required to be defogged, the apparent characteristic information of the initial image is acquired according to a preset defogging network, and the generated characteristic image is mapped into an image grid to acquire clear image information. According to the application, the fire image information after smoke removal can be clearly obtained, a clear image of a fire place can be provided for staff or firefighters, the firefighters can conveniently formulate related fire fighting measures to a great extent, the unexpected harm caused by the sudden fire is effectively avoided, and the economic loss is avoided to a great extent.
In some embodiments of the present application, a calculation formula for acquiring a temperature change rate in a region to be processed in real time according to the first temperature signal and the second temperature signal is as follows:
Wherein T is a temperature change rate, T 2 is a second temperature signal, and T 1 is a first temperature signal.
In order to accurately obtain a temperature change signal of the fire, the propagation height of the fire is primarily predicted. When the first temperature signal and the second temperature signal are acquired, the temperature change rate of the fire is calculated. For example, t2=120, t1=100, and the temperature change rate T is 120-100/100=0.2, it should be understood that the foregoing is only shown by way of example and is not particularly limited.
In some embodiments of the present application, when determining the fire spread trend information in the area to be treated based on the fire development model, the method specifically includes:
Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance;
Determining fire spread trend information in the area to be processed according to the mapping relation between the fire development model and the preset fire model;
The preset fire model is a model obtained by training through image features of an image training set by using a machine learning algorithm.
It should be noted that, in order to better grasp the trend of fire, firefighters can make countermeasures in time. In the application, a fire development model is constructed by the temperature change rate and defogging image information obtained in real time, and the spreading condition of the fire is predicted by the mapping relation between the fire development model and a preset fire model, including but not limited to the spreading direction of the fire, the burning speed of the fire and the like, and the application is not limited herein. According to the application, the spreading information of the fire is determined through the mapping relation between the fire development model constructed in real time and the pre-stored preset fire model, the fire point can be visually controlled in time by observing the fire spreading information, equipment in the area with overlarge fire is prevented from being damaged, and the fire is timely reminded when the current environment is predicted to change, so that firefighters can timely make countermeasures.
As shown in fig. 2, an embodiment of the present invention discloses a fire alarm system for a photovoltaic module region, the system comprising:
the acquisition module is used for acquiring the concentration of particles in the air in the photovoltaic module area, determining a region to be treated based on the concentration of the particles, and acquiring defogging image information in the region to be treated in real time;
The determining module is used for acquiring a first temperature signal in the area to be processed and acquiring a second temperature signal in the area to be processed within preset time;
acquiring the temperature change rate in the region to be processed in real time according to the first temperature signal and the second temperature signal;
The generating module is used for constructing a fire development model based on the defogging image information and the temperature change rate and determining fire spread trend information in the area to be processed based on the fire development model;
And the alarm module is used for acquiring the fire spreading trend information in real time and taking alarm actions.
In some embodiments of the present application, in the collecting module, when determining the area to be treated based on the particulate matter concentration, specifically:
Judging and comparing the particle concentration obtained in real time with a particle concentration threshold value, and determining whether the region to be treated is determined according to a judging result:
If the concentration of the particulate matters is greater than or equal to the threshold value of the concentration of the particulate matters, acquiring the position coordinates of the corresponding smoke sensor, and determining a region to be treated according to the position coordinates;
and if the particle concentration is smaller than the particle concentration threshold value, the area to be treated is not determined.
In order to accurately locate the fire point in the photovoltaic module area, the fire fighting time is saved. In the application, a plurality of smoke sensors are arranged in a photovoltaic assembly area, each smoke sensor is uniformly distributed in the photovoltaic assembly area, when the smoke sensor acquires the concentration of the particulate matters in real time, the relationship between the acquired concentration of the particulate matters and a threshold value is judged, when the concentration of the particulate matters is larger than the threshold value, the occurrence of fire is indicated at the moment, the corresponding smoke sensor is automatically positioned, the position coordinates of the smoke sensor are acquired, and then the fire place, namely the area to be treated, is determined, and when the concentration of the particulate matters is smaller than the threshold value, no fire occurs at the moment, and no treatment is carried out. According to the application, the particulate matter concentration in the photovoltaic module area is obtained through the smoke sensor, when the particulate matter concentration is detected to be higher than the threshold value, the corresponding smoke sensor is accurately positioned at the moment, the fire place can be accurately mastered, the fireproof alarm time is greatly saved, and the fire can be controlled in time.
In some embodiments of the present application, when the acquiring module acquires defogging image information in the to-be-processed area in real time, the method specifically includes:
Acquiring initial image information in the area to be processed, wherein the initial image information is image information containing smoke;
Acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information;
And mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information.
In order to obtain clear image information of the misfire point, the method is described. When the fire point is determined, initial image information of the fire point, namely image information containing smoke, is acquired, a large amount of smoke is generated when a fire disaster actually occurs, the smoke covers the fire point, the fire situation cannot be clearly seen through the image acquisition device in time, at the moment, the image information containing the smoke is required to be defogged, the apparent characteristic information of the initial image is acquired according to a preset defogging network, and the generated characteristic image is mapped into an image grid to acquire clear image information. According to the application, the fire image information after smoke removal can be clearly obtained, a clear image of a fire place can be provided for staff or firefighters, the firefighters can conveniently formulate related fire fighting measures to a great extent, the unexpected harm caused by the sudden fire is effectively avoided, and the economic loss is avoided to a great extent.
In some embodiments of the present application, in the determining module, a calculation formula for acquiring, in real time, a temperature change rate in the area to be processed according to the first temperature signal and the second temperature signal is as follows:
Wherein T is a temperature change rate, T 2 is a second temperature signal, and T 1 is a first temperature signal.
In order to accurately obtain a temperature change signal of the fire, the propagation height of the fire is primarily predicted. When the first temperature signal and the second temperature signal are acquired, the temperature change rate of the fire is calculated. For example, t2=120, t1=100, and the temperature change rate T is 120-100/100=0.2, it should be understood that the foregoing is only shown by way of example and is not particularly limited.
In some embodiments of the present application, when determining the fire spread trend information in the area to be treated based on the fire development model in the generating module, the method specifically includes:
Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance;
Determining fire spread trend information in the area to be processed according to the mapping relation between the fire development model and the preset fire model;
The preset fire model is a model obtained by training through image features of an image training set by using a machine learning algorithm.
It should be noted that, in order to better grasp the trend of fire, firefighters can make countermeasures in time. In the application, a fire development model is constructed by the temperature change rate and defogging image information obtained in real time, and the spreading condition of the fire is predicted by the mapping relation between the fire development model and a preset fire model, including but not limited to the spreading direction of the fire, the burning speed of the fire and the like, and the application is not limited herein. According to the application, the spreading information of the fire is determined through the mapping relation between the fire development model constructed in real time and the pre-stored preset fire model, the fire point can be visually controlled in time by observing the fire spreading information, equipment in the area with overlarge fire is prevented from being damaged, and the fire is timely reminded when the current environment is predicted to change, so that firefighters can timely make countermeasures.
In summary, the embodiment of the application provides a fire alarm method for a photovoltaic module region, which comprises the following steps: the method comprises the steps of obtaining particle concentration in air of a photovoltaic module area, determining a to-be-processed area based on the particle concentration, collecting defogging image information in the to-be-processed area, obtaining a first temperature signal and a second temperature signal in the to-be-processed area, obtaining a temperature change rate in the to-be-processed area according to the first temperature signal and the second temperature signal, constructing a fire development model based on the defogging image information and the temperature change rate, determining fire spreading trend information in the to-be-processed area based on the fire development model, obtaining fire spreading trend information, and taking alarm action. According to the method, the fire place can be accurately mastered, the fireproof alarm time is saved to a great extent, and the fire can be mastered in time. According to the constructed mapping relation between the fire development model and the preset fire model, the fire spreading trend information is determined, the harm caused by fire emergency and randomness can be effectively coped with, the economic loss is greatly reduced, and meanwhile, the fire fighting personnel can be utilized to make targeted fire fighting measures.
According to the first conception of the application, the particle concentration in the air of the photovoltaic module area is obtained, the area to be treated is determined based on the particle concentration, if the particle concentration is greater than or equal to the particle concentration threshold, the position coordinate of the corresponding smoke sensor is obtained, and the area to be treated is determined according to the position coordinate. According to the application, the particulate matter concentration in the photovoltaic module area is obtained through the smoke sensor, when the particulate matter concentration is detected to be higher than the threshold value, the corresponding smoke sensor is accurately positioned at the moment, the fire place can be accurately mastered, the fireproof alarm time is greatly saved, and the fire can be controlled in time.
According to the second conception of the application, defogging image information in a region to be processed is acquired in real time, and initial image information in the region to be processed is acquired, wherein the initial image information is image information containing smog; acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information; and mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information. In the application, when the fire place is positioned, the image acquisition device is started at the moment, so that the fire image information of the fire place can be acquired in real time, because the dense smoke can be generated during the fire, the acquired image information is unclear, the smoke image information after the smoke is removed can be clearly obtained through the smoke removing step in the application, clear images of the fire place can be provided for staff or firefighters, the fire fighting measures related to the staff are greatly facilitated, the unexpected harm caused by the sudden nature of the fire is effectively avoided, and the economic loss is greatly avoided.
According to a third concept of the present application, a fire development model is constructed based on the defogging image information and the temperature change rate, and fire spread trend information in the region to be treated is determined based on the fire development model; and acquiring the fire spread trend information in real time, and taking alarm action. Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance; and determining fire spread trend information in the to-be-processed area according to the mapping relation between the fire development model and the preset fire model. According to the application, the spreading information of the fire is determined through the mapping relation between the fire development model constructed in real time and the pre-stored preset fire model, the fire point can be visually controlled in time by observing the fire spreading information, equipment in the area with overlarge fire is prevented from being damaged, and the fire is timely reminded when the current environment is predicted to change, so that firefighters can timely make countermeasures.
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 (6)
1. A fire alarm method for a photovoltaic module region, the method comprising:
acquiring the concentration of particles in air in a photovoltaic module area, determining a region to be treated based on the concentration of the particles, and acquiring defogging image information in the region to be treated in real time;
acquiring a first temperature signal in the area to be processed, and acquiring a second temperature signal in the area to be processed in a preset time;
acquiring the temperature change rate in the region to be processed in real time according to the first temperature signal and the second temperature signal;
Constructing a fire development model based on the defogging image information and the temperature change rate, and determining fire spreading trend information in the to-be-processed area based on the fire development model;
Acquiring fire spread trend information in real time, and taking alarm action;
When defogging image information in the region to be processed is acquired in real time, the method specifically comprises the following steps:
Acquiring initial image information in the area to be processed, wherein the initial image information is image information containing smoke;
Acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information;
Mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information;
When determining the fire spread trend information in the to-be-processed area based on the fire development model, the method specifically comprises the following steps:
Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance;
Determining fire spread trend information in the area to be processed according to the mapping relation between the fire development model and the preset fire model;
The preset fire model is a model obtained by training through image features of an image training set by using a machine learning algorithm.
2. The fire alarm method for a photovoltaic module area according to claim 1, wherein when determining the area to be treated based on the particulate matter concentration, specifically comprises:
Judging and comparing the particle concentration obtained in real time with a particle concentration threshold value, and determining whether the region to be treated is determined according to a judging result:
If the concentration of the particulate matters is greater than or equal to the threshold value of the concentration of the particulate matters, acquiring the position coordinates of the corresponding smoke sensor, and determining a region to be treated according to the position coordinates;
and if the particle concentration is smaller than the particle concentration threshold value, the area to be treated is not determined.
3. The fire alarm method for a photovoltaic module area according to claim 1, wherein the calculation formula for acquiring the temperature change rate in the area to be processed in real time according to the first temperature signal and the second temperature signal is as follows:
Wherein T is a temperature change rate, T 2 is a second temperature signal, and T 1 is a first temperature signal.
4. A fire alarm system for a photovoltaic module area, the system comprising:
the acquisition module is used for acquiring the concentration of particles in the air in the photovoltaic module area, determining a region to be treated based on the concentration of the particles, and acquiring defogging image information in the region to be treated in real time;
The determining module is used for acquiring a first temperature signal in the area to be processed and acquiring a second temperature signal in the area to be processed within preset time;
acquiring the temperature change rate in the region to be processed in real time according to the first temperature signal and the second temperature signal;
The generating module is used for constructing a fire development model based on the defogging image information and the temperature change rate and determining fire spread trend information in the area to be processed based on the fire development model;
The alarm module is used for acquiring the fire spread trend information in real time and taking alarm actions;
In the acquisition module, when defogging image information in the to-be-processed area is acquired in real time, the method specifically comprises the following steps:
Acquiring initial image information in the area to be processed, wherein the initial image information is image information containing smoke;
Acquiring a plurality of pieces of apparent characteristic information of initial image information according to a preset defogging network, and determining a characteristic image based on the plurality of pieces of apparent characteristic information;
Mapping the characteristic image into an image grid to obtain clear image information, wherein the clear image information is defogging image information;
in the generating module, when determining the fire spread trend information in the area to be processed based on the fire development model, the method specifically comprises the following steps:
Receiving the constructed fire development model, and calling a preset fire model stored in a database in advance;
Determining fire spread trend information in the area to be processed according to the mapping relation between the fire development model and the preset fire model;
The preset fire model is a model obtained by training through image features of an image training set by using a machine learning algorithm.
5. The fire alarm system for a photovoltaic module area according to claim 4, wherein, in the acquisition module, when determining the area to be treated based on the concentration of particulate matter, it is specifically:
Judging and comparing the particle concentration obtained in real time with a particle concentration threshold value, and determining whether the region to be treated is determined according to a judging result:
If the concentration of the particulate matters is greater than or equal to the threshold value of the concentration of the particulate matters, acquiring the position coordinates of the corresponding smoke sensor, and determining a region to be treated according to the position coordinates;
and if the particle concentration is smaller than the particle concentration threshold value, the area to be treated is not determined.
6. The fire alarm system for a photovoltaic module area according to claim 5, wherein in the determining module, a calculation formula for acquiring a temperature change rate in a to-be-processed area in real time according to the first temperature signal and the second temperature signal is as follows:
Wherein T is a temperature change rate, T 2 is a second temperature signal, and T 1 is a first temperature signal.
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