CN114187735B - Multi-mode-based fire alarm method and device, electronic equipment and storage medium - Google Patents
Multi-mode-based fire alarm method and device, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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Abstract
The invention relates to a fire alarm method, a fire alarm device, an electronic device and a computer readable storage medium based on multiple modes, wherein the method comprises the following steps: presetting a plurality of fire alarming modes; acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals; and carrying out fire alarming according to the adjusted fire alarming mode. The multi-mode-based fire alarm method provided by the invention can fully exert the respective advantages of infrared flame detection and intelligent video monitoring, and can be automatically regulated in the fire monitoring process.
Description
Technical Field
The present invention relates to the field of fire monitoring technologies, and in particular, to a fire alarm method, apparatus, electronic device and computer readable storage medium based on multiple modes.
Background
The infrared flame detection and the intelligent video monitoring are widely applied in the field of fire monitoring, but the interference of a heat source is difficult to filter in the infrared flame detection, the false alarm rate is high in an environment with serious heat source interference, the intelligent video monitoring is affected by factors such as illumination change of an actual environment, movement complexity of a target, shielding and the like, and the difficulty of fire monitoring is increased.
The existing fire monitoring method simply combines infrared flame detection and intelligent video monitoring, when the infrared flame detection outputs fire alarm information, corresponding videos are called at the same time to carry out automatic or manual rechecking, but the simple combination of the infrared flame detection and the intelligent video monitoring enables the fire alarm not to have autonomy and adjustability.
Disclosure of Invention
In view of the foregoing, there is a need for a multi-mode fire alarm method, apparatus, electronic device and computer readable storage medium for solving the problem that the fire monitoring process cannot be autonomously regulated in the prior art.
In order to solve the above problems, the present invention provides a fire alarm method based on multiple modes, comprising:
Presetting a plurality of fire alarming modes;
acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals;
and carrying out fire alarming according to the adjusted fire alarming mode.
Further, a plurality of fire alarm modes are preset, including:
Presetting a first fire alarm mode, a second fire alarm mode and a third fire alarm mode;
the fire alarm mode I alarms according to infrared signals;
the fire alarm mode II is to integrate infrared signals and video signals to alarm;
and the fire alarm mode III alarms according to video signals.
Further, acquiring an infrared signal of a fire source target includes:
The method comprises the steps of acquiring an initial infrared signal and a real-time infrared signal of infrared interference and an initial infrared signal and a real-time infrared signal of flame radiation.
Further, adjusting the fire alarm mode according to the infrared signal and the video signal includes:
and processing the infrared signals and the video signals to obtain processed infrared signals and video signals, and adjusting the fire alarm mode according to the processed infrared signals and video signals.
Further, processing the infrared signal and the video signal to obtain a processed infrared signal and video signal, including:
Performing reference correction on the initial infrared signal of the infrared interference by using the real-time infrared signal of the infrared interference to obtain a first correction value;
Performing reference correction on the initial infrared signal radiated by the flame by utilizing the real-time infrared signal radiated by the flame to obtain a second correction value, performing forward difference on the second correction value, and obtaining the peak intensity of a fire source target according to the forward difference result;
obtaining the relative signal-to-noise ratio of the fire source target by using the first correction value and a peak value intensity and signal-to-noise ratio calculation formula of the fire source target;
and carrying out video identification on the video signal of the fire source target by using the neural network model to obtain a video identification result and the distance between the fire source target and the infrared detector.
Further, before the fire alarm mode is adjusted according to the processed infrared signals and video signals, the method comprises:
When the peak intensity of the fire source target is greater than or equal to a first set threshold value and the relative signal to noise ratio of the fire source target is greater than or equal to a second set threshold value, a fire alarm mode gives an alarm;
When the distance between the fire source target and the infrared detector is greater than or equal to a third set threshold value, the peak intensity of the fire source target is greater than or equal to a fourth set threshold value, and the relative signal-to-noise ratio of the fire source target is greater than or equal to a fifth set threshold value, a fire alarm mode II gives an alarm;
and when the video identification result shows abnormality, giving out an alarm in a fire alarming mode III.
Further, adjusting the fire alarm mode according to the processed infrared signals and video signals, including:
If the alarm frequency of the fire alarm mode I reaches a sixth set threshold value and the fire alarm mode III does not give an alarm, adjusting the first set threshold value in the fire alarm mode I;
If the alarm frequency of the fire alarm mode II reaches a seventh set threshold value and the distance between the fire source target and the infrared detector is smaller than a third set threshold value, adjusting the fourth set threshold value and the fifth set threshold value in the fire alarm mode II;
and if the alarm frequency of the fire alarm mode III reaches an eighth set threshold value and the fire alarm mode I does not give an alarm, retraining the neural network model in the fire alarm mode III.
The invention also provides a fire alarm device based on multiple modes, which comprises a mode preset module, a mode adjustment module and a fire alarm module;
the mode presetting module is used for presetting a plurality of fire alarm modes;
the mode adjustment module is used for acquiring infrared signals and video signals of a fire source target and adjusting the fire alarm mode according to the infrared signals and the video signals;
And the fire alarm module is used for carrying out fire alarm according to the adjusted fire alarm mode.
The invention also provides electronic equipment, which comprises a memory and a processor, wherein the memory is stored with a computer program, and the computer program realizes the multi-mode-based fire alarm method according to any one of the technical schemes when being executed by the processor.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements a multi-mode based fire alarm method according to any of the above-mentioned technical solutions.
The beneficial effects of adopting the embodiment are as follows: according to the fire alarming method based on the multiple modes, the infrared signals and the video signals of the fire source targets are obtained through presetting the multiple fire alarming modes, the fire alarming modes are adjusted according to the infrared signals and the video signals, fire alarming is carried out according to the adjusted fire alarming modes, the advantages of infrared flame detection and intelligent video monitoring are fully exerted, and autonomous adjustment can be carried out in the fire monitoring process.
Drawings
FIG. 1 is a schematic view of an application scenario of a multimode-based fire alarm device provided by the invention;
FIG. 2 is a schematic flow chart of an embodiment of a multi-mode based fire alarm method according to the present invention;
FIG. 3 is a schematic diagram showing changes of infrared interference signals in infrared flame detection according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the change of flame radiation signal in infrared flame detection according to an embodiment of the present invention;
fig. 5 is a schematic diagram of intelligent video monitoring and identification provided in an embodiment of the present invention;
FIG. 6 is a block diagram illustrating an embodiment of a multi-mode based fire alarm apparatus according to the present invention;
Fig. 7 is a block diagram of an embodiment of an electronic device according to the present invention.
Detailed Description
The following detailed description of preferred embodiments of the application is made in connection with the accompanying drawings, which form a part hereof, and together with the description of the embodiments of the application, are used to explain the principles of the application and are not intended to limit the scope of the application.
The invention provides a fire alarm method, a fire alarm device, an electronic device and a computer readable storage medium based on multiple modes, which are respectively described in detail below.
Fig. 1 is a schematic view of an application scenario of a multimode-based fire alarm device according to the present invention, where the system may include a server 100, and the multimode-based fire alarm device, such as the server in fig. 1, is integrated in the server 100.
The server 100 in the embodiment of the present invention is mainly used for:
Presetting a plurality of fire alarming modes;
acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals;
and carrying out fire alarming according to the adjusted fire alarming mode.
In the embodiment of the present invention, the server 100 may be an independent server, or may be a server network or a server cluster formed by servers, for example, the server 100 described in the embodiment of the present invention includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a cloud server formed by a plurality of servers. Wherein the Cloud server is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing).
It will be appreciated that the terminal 200 used in embodiments of the present invention may be a device that includes both receive and transmit hardware, i.e., a device having receive and transmit hardware capable of performing bi-directional communications over a bi-directional communication link. Such a device may include: a cellular or other communication device having a single-line display or a multi-line display or a cellular or other communication device without a multi-line display. The specific terminal 200 may be a desktop computer, a portable computer, a network server, a Personal computer (Personal DIGITAL ASSISTANT, PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, an embedded device, etc., and the embodiment is not limited to the type of the terminal 200.
It will be appreciated by those skilled in the art that the application environment shown in fig. 1 is merely an application scenario of the present invention, and is not limited to the application scenario of the present invention, and other application environments may include more or fewer terminals than those shown in fig. 1, for example, only 2 terminals are shown in fig. 1, and it will be appreciated that the multi-mode-based fire alarm device may further include one or more other terminals, which is not limited herein.
In addition, referring to fig. 1, the multi-mode based fire alarm device may further include a memory 300 for storing data, such as infrared signals, video signals, etc.
It should be noted that, the schematic view of the scenario of the multi-mode fire alarm device shown in fig. 1 is only an example, and the multi-mode fire alarm device and scenario described in the embodiments of the present invention are for more clearly describing the technical solution of the embodiments of the present invention, and do not constitute a limitation to the technical solution provided by the embodiments of the present invention, and as the evolution of the multi-mode fire alarm device and the appearance of the new service scenario occur, those skilled in the art can know that the technical solution provided by the embodiments of the present invention is equally applicable to similar technical problems.
The embodiment of the invention provides a fire alarm method based on multiple modes, which is shown in a flow chart in fig. 2, and comprises the following steps:
step S201, presetting a plurality of fire alarm modes;
Step S202, acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals;
And step 203, performing fire alarm according to the adjusted fire alarm mode.
In a specific embodiment, an infrared flame detector is used for acquiring an infrared signal of a fire source target, a camera is used for acquiring a video signal of the fire source target, and the fire source target is a train.
As a preferred embodiment, a plurality of fire alarm modes are preset, including:
Presetting a first fire alarm mode, a second fire alarm mode and a third fire alarm mode;
the fire alarm mode I alarms according to infrared signals;
the fire alarm mode II is to integrate infrared signals and video signals to alarm;
and the fire alarm mode III alarms according to video signals.
It should be noted that, preset multiple fire alarm modes, can reduce the fire false alarm rate, carry out fire alarm through preset multiple fire alarm modes and can realize the process of mutual learning adjustment parameters between the fire alarm modes, further reduce the fire false alarm rate.
As a preferred embodiment, acquiring an infrared signal of a fire source object includes:
The method comprises the steps of acquiring an initial infrared signal and a real-time infrared signal of infrared interference and an initial infrared signal and a real-time infrared signal of flame radiation.
In a specific embodiment, the infrared flame detector includes a probe 1 and a probe 2, where the probe 1 is used for detecting infrared interference signals of sunlight, artificial light sources, etc., a change schematic diagram of the infrared interference signals in the infrared flame detection is shown in fig. 3, and the probe 2 is used for detecting flame radiation signals of a fire source target, and a change schematic diagram of the flame radiation signals in the infrared flame detection is shown in fig. 4.
As a preferred embodiment, adjusting the fire alarm mode based on the infrared signal and the video signal includes:
and processing the infrared signals and the video signals to obtain processed infrared signals and video signals, and adjusting the fire alarm mode according to the processed infrared signals and video signals.
It should be noted that, the infrared signal and the video signal are processed, so that the fire source target can be better monitored, and the influence of the equipment and environmental factors is reduced.
As a preferred embodiment, processing the infrared signal and the video signal to obtain a processed infrared signal and video signal includes:
Performing reference correction on the initial infrared signal of the infrared interference by using the real-time infrared signal of the infrared interference to obtain a first correction value;
Performing reference correction on the initial infrared signal radiated by the flame by utilizing the real-time infrared signal radiated by the flame to obtain a second correction value, performing forward difference on the second correction value, and obtaining the peak intensity of a fire source target according to the forward difference result;
obtaining the relative signal-to-noise ratio of the fire source target by using the first correction value and a peak value intensity and signal-to-noise ratio calculation formula of the fire source target;
and carrying out video identification on the video signal of the fire source target by using the neural network model to obtain a video identification result and the distance between the fire source target and the infrared detector.
In a specific embodiment, taking the median value of infrared interference signal data acquired in 60 seconds in the probe 1 as an initial infrared signal of the infrared interference as 100, wherein a real-time infrared signal of the infrared interference is 101, 101-100=1, and a first correction value is 1;
Taking the median value of flame radiation signal data acquired in 60 seconds in the probe 2 as an initial infrared signal of the flame radiation, wherein the real-time infrared signal of the flame radiation is 300, 300-200=100, the second correction value is 100, the intensity of the infrared signal of the flame radiation is 200 to 300, and the sign of forward difference is changed from positive to negative from 300 to 200, so that the position corresponding to the second correction value 100 can be judged to be a flame signal peak, and the peak intensity of a fire source target is 100;
The signal-to-noise ratio calculation formula is the peak intensity/first correction value of the fire source target, and the relative signal-to-noise ratio of the fire source target is 100/1=100;
Median filtering is carried out on the peak intensity of the fire source target and the relative signal to noise ratio of the fire source target, and the filtering order is 5, so that the peak intensity of the filtered fire source target is 100 and the relative signal to noise ratio of the filtered fire source target is 100;
As shown in fig. 5, it can be seen from fig. 5 that when a fire source target, that is, a train that is on fire, is at a low speed, overspeed or stopped and is accompanied by fire or smoke, the recognition result obtained by using the abnormal behavior model of the fire source target is that the abnormal behavior of the fire source target, that is, the video recognition result, shows that the video recognition result shows abnormality, and the distance from the fire source target to the flame detector, that is, the infrared detector, is 30 meters.
As a preferred embodiment, before the fire alarm mode is adjusted according to the processed infrared signal and video signal, the method comprises:
When the peak intensity of the fire source target is greater than or equal to a first set threshold value and the relative signal to noise ratio of the fire source target is greater than or equal to a second set threshold value, a fire alarm mode gives an alarm;
When the distance between the fire source target and the infrared detector is greater than or equal to a third set threshold value, the peak intensity of the fire source target is greater than or equal to a fourth set threshold value, and the relative signal-to-noise ratio of the fire source target is greater than or equal to a fifth set threshold value, a fire alarm mode II gives an alarm;
and when the video identification result shows abnormality, giving out an alarm in a fire alarming mode III.
In a specific embodiment, the first set threshold is 200, and the second set threshold is 10;
The third set threshold is 25 meters, the fourth set threshold is 50, and the fifth set threshold is 2.
As a preferred embodiment, adjusting the fire alarm mode based on the processed infrared signal and video signal includes:
If the alarm frequency of the fire alarm mode I reaches a sixth set threshold value and the fire alarm mode III does not give an alarm, adjusting the first set threshold value in the fire alarm mode I;
If the alarm frequency of the fire alarm mode II reaches a seventh set threshold value and the distance between the fire source target and the infrared detector is smaller than a third set threshold value, adjusting the fourth set threshold value and the fifth set threshold value in the fire alarm mode II;
and if the alarm frequency of the fire alarm mode III reaches an eighth set threshold value and the fire alarm mode I does not give an alarm, retraining the neural network model in the fire alarm mode III.
In one specific embodiment, when the alarm frequency of the fire alarm mode one reaches more than 3 times of alarm within 10 minutes, the first set threshold is adjusted to 210;
When the alarm frequency of the fire alarm mode II reaches more than 3 times of alarm within 10 minutes and the distance between the fire source target and the infrared detector is less than 25 meters, adjusting the fourth set threshold to 200 and the fifth set threshold to 10;
When the alarm frequency of the fire alarm mode III reaches more than 3 times of alarm within 10 minutes and the first correction value and the second correction value are smaller than 20, marking the video signal as abnormal-free, and putting the video signal into a neural network model for retraining.
The embodiment of the invention provides a fire alarm device based on multiple modes, which is shown in fig. 6 and comprises a mode presetting module 601, a mode adjusting module 602 and a fire alarm module 603;
the mode presetting module 601 is used for presetting a plurality of fire alarm modes;
the mode adjustment module 602 is configured to obtain an infrared signal and a video signal of a fire source target, and adjust the fire alarm mode according to the infrared signal and the video signal;
the fire alarm module 603 is configured to perform fire alarm according to the adjusted fire alarm mode.
As shown in fig. 7, the present invention further provides an electronic device, which may be a computing device such as a mobile terminal, a desktop computer, a notebook computer, a palm computer, and a server. The electronic device includes a processor 10, a memory 20, and a display 30.
The memory 20 may in some embodiments be an internal storage unit of a computer device, such as a hard disk or memory of a computer device. The memory 20 may also be an external storage device of the computer device, such as a plug-in hard disk provided on the computer device, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, in other embodiments. Further, the memory 20 may also include both internal storage units and external storage devices of the computer device. The memory 20 is used for storing application software installed on the computer device and various types of data, such as program codes for installing the computer device. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 has stored thereon a multi-mode based fire alarm program 40, the multi-mode based fire alarm program 40 being executable by the processor 10 to implement the multi-mode based fire alarm method of embodiments of the present invention.
Processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for running program code or processing data stored in memory 20, such as executing a multi-mode based fire alarm program or the like.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 30 is for displaying information at the computer device and for displaying a visual user interface. The components 10-30 of the computer device communicate with each other via a system bus.
In one embodiment, the following steps are implemented when processor 10 executes a multi-mode based fire alarm program 40 in memory 20:
Presetting a plurality of fire alarming modes;
acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals;
and carrying out fire alarming according to the adjusted fire alarming mode.
The present embodiment also provides a computer-readable storage medium having stored thereon a multi-mode based fire alarm program which when executed by a processor performs the steps of:
Presetting a plurality of fire alarming modes;
acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals;
and carrying out fire alarming according to the adjusted fire alarming mode.
According to the fire alarming method, the device, the electronic equipment and the computer readable storage medium based on the multiple modes, the infrared signals and the video signals of the fire source targets are obtained through presetting multiple fire alarming modes, the fire alarming modes are adjusted according to the infrared signals and the video signals, the fire alarming is carried out according to the adjusted fire alarming modes, the advantages of infrared flame detection and intelligent video monitoring are fully played, and the fire alarming device can be automatically adjusted in the fire monitoring process.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (4)
1. A multi-mode based fire alarm method comprising:
Presetting a plurality of fire alarming modes;
acquiring infrared signals and video signals of a fire source target, and adjusting the fire alarm mode according to the infrared signals and the video signals;
performing fire alarm according to the adjusted fire alarm mode;
presetting a plurality of fire alarm modes, comprising:
Presetting a first fire alarm mode, a second fire alarm mode and a third fire alarm mode;
the fire alarm mode I alarms according to infrared signals;
the fire alarm mode II is to integrate infrared signals and video signals to alarm;
The fire alarm mode III alarms according to video signals;
acquiring infrared signals of a fire source target, comprising:
Acquiring an initial infrared signal and a real-time infrared signal of infrared interference, and radiating the initial infrared signal and the real-time infrared signal of flame;
Adjusting the fire alarm mode according to the infrared signals and the video signals, including:
Processing the infrared signals and the video signals to obtain processed infrared signals and video signals, and adjusting the fire alarm mode according to the processed infrared signals and video signals;
processing the infrared signal and the video signal to obtain a processed infrared signal and video signal, including:
Performing reference correction on the initial infrared signal of the infrared interference by using the real-time infrared signal of the infrared interference to obtain a first correction value;
Performing reference correction on the initial infrared signal radiated by the flame by utilizing the real-time infrared signal radiated by the flame to obtain a second correction value, performing forward difference on the second correction value, and obtaining the peak intensity of a fire source target according to the forward difference result;
obtaining the relative signal-to-noise ratio of the fire source target by using the first correction value and a peak value intensity and signal-to-noise ratio calculation formula of the fire source target;
Performing video identification on the video signal of the fire source target by using a neural network model to obtain a video identification result and the distance between the fire source target and the infrared detector;
Before the fire alarm mode is adjusted according to the processed infrared signals and video signals, the method comprises the following steps:
When the peak intensity of the fire source target is greater than or equal to a first set threshold value and the relative signal to noise ratio of the fire source target is greater than or equal to a second set threshold value, a fire alarm mode gives an alarm;
When the distance between the fire source target and the infrared detector is greater than or equal to a third set threshold value, the peak intensity of the fire source target is greater than or equal to a fourth set threshold value, and the relative signal-to-noise ratio of the fire source target is greater than or equal to a fifth set threshold value, a fire alarm mode II gives an alarm;
when the video identification result shows abnormality, a fire alarm mode III gives an alarm;
And adjusting the fire alarm mode according to the processed infrared signals and video signals, comprising:
If the alarm frequency of the fire alarm mode I reaches a sixth set threshold value and the fire alarm mode III does not give an alarm, adjusting the first set threshold value in the fire alarm mode I;
If the alarm frequency of the fire alarm mode II reaches a seventh set threshold value and the distance between the fire source target and the infrared detector is smaller than a third set threshold value, adjusting the fourth set threshold value and the fifth set threshold value in the fire alarm mode II;
and if the alarm frequency of the fire alarm mode III reaches an eighth set threshold value and the fire alarm mode I does not give an alarm, retraining the neural network model in the fire alarm mode III.
2. The fire alarm device based on the multiple modes is characterized by comprising a mode preset module, a mode adjustment module and a fire alarm module;
the mode presetting module is used for presetting a plurality of fire alarm modes;
the mode adjustment module is used for acquiring infrared signals and video signals of a fire source target and adjusting the fire alarm mode according to the infrared signals and the video signals;
the fire alarm module is used for carrying out fire alarm according to the adjusted fire alarm mode;
presetting a plurality of fire alarm modes, comprising:
Presetting a first fire alarm mode, a second fire alarm mode and a third fire alarm mode;
the fire alarm mode I alarms according to infrared signals;
the fire alarm mode II is to integrate infrared signals and video signals to alarm;
The fire alarm mode III alarms according to video signals;
acquiring infrared signals of a fire source target, comprising:
Acquiring an initial infrared signal and a real-time infrared signal of infrared interference, and radiating the initial infrared signal and the real-time infrared signal of flame;
Adjusting the fire alarm mode according to the infrared signals and the video signals, including:
Processing the infrared signals and the video signals to obtain processed infrared signals and video signals, and adjusting the fire alarm mode according to the processed infrared signals and video signals;
processing the infrared signal and the video signal to obtain a processed infrared signal and video signal, including:
Performing reference correction on the initial infrared signal of the infrared interference by using the real-time infrared signal of the infrared interference to obtain a first correction value;
Performing reference correction on the initial infrared signal radiated by the flame by utilizing the real-time infrared signal radiated by the flame to obtain a second correction value, performing forward difference on the second correction value, and obtaining the peak intensity of a fire source target according to the forward difference result;
obtaining the relative signal-to-noise ratio of the fire source target by using the first correction value and a peak value intensity and signal-to-noise ratio calculation formula of the fire source target;
Performing video identification on the video signal of the fire source target by using a neural network model to obtain a video identification result and the distance between the fire source target and the infrared detector;
Before the fire alarm mode is adjusted according to the processed infrared signals and video signals, the method comprises the following steps:
When the peak intensity of the fire source target is greater than or equal to a first set threshold value and the relative signal to noise ratio of the fire source target is greater than or equal to a second set threshold value, a fire alarm mode gives an alarm;
When the distance between the fire source target and the infrared detector is greater than or equal to a third set threshold value, the peak intensity of the fire source target is greater than or equal to a fourth set threshold value, and the relative signal-to-noise ratio of the fire source target is greater than or equal to a fifth set threshold value, a fire alarm mode II gives an alarm;
when the video identification result shows abnormality, a fire alarm mode III gives an alarm;
And adjusting the fire alarm mode according to the processed infrared signals and video signals, comprising:
If the alarm frequency of the fire alarm mode I reaches a sixth set threshold value and the fire alarm mode III does not give an alarm, adjusting the first set threshold value in the fire alarm mode I;
If the alarm frequency of the fire alarm mode II reaches a seventh set threshold value and the distance between the fire source target and the infrared detector is smaller than a third set threshold value, adjusting the fourth set threshold value and the fifth set threshold value in the fire alarm mode II;
and if the alarm frequency of the fire alarm mode III reaches an eighth set threshold value and the fire alarm mode I does not give an alarm, retraining the neural network model in the fire alarm mode III.
3. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, implements the multimode based fire alarm method of claim 1.
4. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements the multimode based fire alarm method of claim 1.
Priority Applications (1)
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