Fire alarm method, device and system

By obtaining the power station fire monitoring information, generating initial alarm information, determining the target camera, obtaining video data, and outputting fire alarm information based on brightness changes, the problem of low monitoring efficiency caused by large scale and limited manpower is solved, and the effect of timely identification and alarm is achieved.

CN119964315APending Publication Date: 2025-05-09HUANENG LANCANG RIVER HYDROPOWER CO LTD
View PDF 12 Cites 0 Cited by

Patent Information

Application Number
CN202510392111.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-31
Publication Date
2025-05-09

AI Technical Summary

Technical Problem

Due to the large scale and limited manpower, the power station is difficult to take into account all on-site fire risk monitoring at the same time, resulting in low monitoring efficiency and inability to detect risk situations in a timely manner.

Method used

By obtaining the fire monitoring information collected by the fire monitoring system using the sensor module, initial alarm information is generated, target camera is determined, video data is obtained, and fire alarm information is output based on the degree of brightness change between different frame data in the video data.

Benefits of technology

It realizes the timely retrieval of corresponding monitoring video data for the monitored risks, quickly identify risks and issue fire alarm information, improving monitoring efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119964315A_ABST
    Figure CN119964315A_ABST
Patent Text Reader

Abstract

The invention relates to a fire alarm method, device and system. The method comprises the following steps: acquiring fire-fighting monitoring information acquired by a fire-fighting monitoring system through a sensor module, generating initial alarm information under the condition that the fire-fighting monitoring information does not meet a preset fire-fighting safety condition, and determining a target camera of which the distance to an information acquisition position coordinate is smaller than a preset threshold value; according to the method, the video data acquired by the target camera is acquired, and the fire alarm information is output based on the brightness change degree between different frame data in the video data, so that the corresponding monitoring video data can be called in time according to the monitored risk, the risk can be quickly identified from the video data, and the fire alarm information is sent out. Workers can find risk conditions in time, and the monitoring efficiency is improved. According to the scheme, the fire risk monitoring efficiency can be improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present disclosure relates to the field of fire alarm technology, and in particular to a fire alarm method, device and system. Background Art

[0002] In the relevant technologies, in order to ensure the safe operation of the power plant, it is necessary to comprehensively monitor the fire risk situations at different locations of the power plant. Not only is it necessary to use relevant monitoring sensors for real-time monitoring, but it is also necessary to invest manpower to monitor the on-site images in real time to determine whether there are risks. However, since the scale of power plants is usually large, it is difficult to take into account all on-site images at the same time with limited manpower, resulting in low monitoring efficiency and inability to ensure timely detection of risks. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a fire alarm method, device and system.

[0004] According to a first aspect of an embodiment of the present disclosure, a fire alarm method is provided, comprising:

[0005] Acquire fire monitoring information collected by the fire monitoring system using the sensor module; the fire monitoring information includes the fire monitoring index value of the power station and the coordinates of the information collection location;

[0006] In the case where the fire monitoring information does not meet the preset fire safety conditions, generating initial alarm information; the initial alarm information includes the coordinates of the information collection location;

[0007] Determine a target camera whose distance from the information collection location coordinates is less than a preset threshold;

[0008] Acquire video data collected by the target camera;

[0009] Fire alarm information is output based on the degree of brightness change between different frame data in the video data.

[0010] In some embodiments of the present disclosure, the outputting of fire alarm information based on the degree of brightness change between different frames of data in the video data includes:

[0011] Selecting a first frame image and a second frame image with a preset frame spacing from the video data;

[0012] The first frame image and the second frame image are divided into multiple first sub-regions and multiple second sub-regions according to preset sizes respectively;

[0013] The plurality of first sub-regions and the plurality of second sub-regions are grouped to obtain a plurality of groups of sub-region images; each group of sub-region images includes a first sub-region and a second sub-region at the same position;

[0014] For each group of first sub-regions and second sub-regions having the same position, determining a regional difference coefficient for the first sub-region and the second sub-region based on a brightness value of each pixel in the first sub-region and a brightness value of each pixel in the second sub-region;

[0015] When there is at least one group of sub-region images whose regional difference coefficient is greater than a preset threshold, fire alarm information is output.

[0016] In some embodiments of the present disclosure, determining the regional difference coefficients for the first sub-region and the second sub-region based on the brightness value of each pixel in the first sub-region and the brightness value of each pixel in the second sub-region includes:

[0017] For a first pixel point and a second pixel point belonging to the same position, a difference between a brightness value of the first pixel point and a brightness value of the second pixel point is calculated to obtain a brightness difference value; the first pixel point is any pixel point in the first sub-region; the second pixel point is any pixel point in the second sub-region;

[0018] The number of pixels in the first sub-region and the second sub-region whose brightness difference is greater than a preset threshold is determined, and the number of pixels is used as the regional difference coefficient.

[0019] In some embodiments of the present disclosure, before outputting the fire alarm information based on the brightness change degree between different frames of data in the video data, the method further includes:

[0020] Sending inquiry information about a preset frame spacing to a terminal device; so that the terminal device displays the inquiry information on a display screen;

[0021] A reply message sent by a receiving terminal device is received; the reply message is a user's reply message to the inquiry message; the reply message includes the preset frame spacing.

[0022] According to a second aspect of an embodiment of the present disclosure, there is provided a fire alarm device, comprising:

[0023] A first acquisition unit is used to acquire fire monitoring information collected by the fire monitoring system using the sensor module; the fire monitoring information includes the fire monitoring index value of the power station and the coordinates of the information collection location;

[0024] A generating unit, configured to generate initial alarm information when the fire monitoring information does not meet a preset fire safety condition; the initial alarm information includes the coordinates of the information collection location;

[0025] A determination unit, used to determine a target camera whose distance from the information collection position coordinates is less than a preset threshold;

[0026] A second acquisition unit, used to acquire video data collected by the target camera;

[0027] The output unit is used to output fire alarm information based on the degree of brightness change between different frame data in the video data.

[0028] In some embodiments of the present disclosure, the output unit is specifically used for:

[0029] Selecting a first frame image and a second frame image with a preset frame spacing from the video data;

[0030] The first frame image and the second frame image are divided into multiple first sub-regions and multiple second sub-regions according to preset sizes respectively;

[0031] The plurality of first sub-regions and the plurality of second sub-regions are grouped to obtain a plurality of groups of sub-region images; each group of sub-region images includes a first sub-region and a second sub-region at the same position;

[0032] For each group of first sub-regions and second sub-regions having the same position, determining a regional difference coefficient for the first sub-region and the second sub-region based on a brightness value of each pixel in the first sub-region and a brightness value of each pixel in the second sub-region;

[0033] When there is at least one group of sub-region images whose regional difference coefficient is greater than a preset threshold, fire alarm information is output.

[0034] In some embodiments of the present disclosure, the output unit is further used to:

[0035] For a first pixel point and a second pixel point belonging to the same position, a difference between a brightness value of the first pixel point and a brightness value of the second pixel point is calculated to obtain a brightness difference value; the first pixel point is any pixel point in the first sub-region; the second pixel point is any pixel point in the second sub-region;

[0036] The number of pixels in the first sub-region and the second sub-region whose brightness difference is greater than a preset threshold is determined, and the number of pixels is used as the regional difference coefficient.

[0037] According to a third aspect of an embodiment of the present disclosure, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described in any one of the first aspects is implemented.

[0038] According to a fourth aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the first aspects is implemented.

[0039] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, wherein the computer program implements the method as described in any one of the first aspects when executed by a processor.

[0040] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: by acquiring fire monitoring information collected by a fire monitoring system using a sensor module; generating initial alarm information when the fire monitoring information does not meet preset fire safety conditions; determining a target camera whose distance from the information collection location coordinates is less than a preset threshold; acquiring video data collected by the target camera; and outputting fire alarm information based on the degree of brightness change between different frames of data in the video data, thereby being able to timely retrieve corresponding monitoring video data for monitored risks, quickly identify risks from the video data and issue fire alarm information, so that staff can promptly discover risk situations and improve monitoring efficiency.

[0041] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0043] Figure 1 The figure is a flow chart of a fire alarm method according to an exemplary embodiment.

[0044] Figure 2 The figure is a block diagram of a fire alarm device according to an exemplary embodiment.

[0045] Figure 3 The invention is a block diagram showing a device for a fire alarm method according to an exemplary embodiment. DETAILED DESCRIPTION

[0046] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0047] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the disclosed embodiments. The singular forms "a", "an" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0048] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the disclosed embodiments, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at" or "when" or "in response to determination".

[0049] In addition, various forms of processes shown in the embodiments of the present disclosure may be used to reorder, add or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present disclosure can be achieved, and this document does not limit this.

[0050] In the relevant technologies, in order to ensure the safe operation of the power plant, it is necessary to comprehensively monitor the fire risk situations at different locations of the power plant. Not only is it necessary to use relevant monitoring sensors for real-time monitoring, but it is also necessary to invest manpower to monitor the on-site images in real time to determine whether there are risks. However, since the scale of power plants is usually large, it is difficult to take into account all on-site images at the same time with limited manpower, resulting in low monitoring efficiency and inability to ensure timely detection of risks.

[0051] In order to solve the above problems, the present invention provides a fire alarm method, device and system, which obtain fire monitoring information collected by a fire monitoring system using a sensor module; generate initial alarm information when the fire monitoring information does not meet the preset fire safety conditions; determine the target camera whose distance from the information collection position coordinates is less than a preset threshold; obtain video data collected by the target camera; and output fire alarm information based on the degree of brightness change between different frame data in the video data, so that the corresponding monitoring video data can be retrieved in time for the monitored risks, the risks can be quickly identified from the video data and fire alarm information can be issued, so that the staff can discover the risk situation in time and improve the monitoring efficiency.

[0052] Figure 1 is a flow chart of a fire alarm method according to an exemplary embodiment. Figure 1 As shown, it should be noted that the fire alarm method of the embodiment of the present disclosure is applied to a fire alarm device. Figure 1As shown, the method may include the following steps:

[0053] Step 101, obtaining fire monitoring information collected by a fire monitoring system using a sensor module.

[0054] The fire monitoring information includes the fire monitoring index value of the power station and the coordinates of the information collection location.

[0055] As an example, the sensor module may include any one or more of a smoke sensor, a carbon monoxide sensor, and a temperature sensor. The fire monitoring information may also include information such as smoke concentration and temperature.

[0056] Step 102: When the fire monitoring information does not meet the preset fire safety conditions, an initial alarm message is generated.

[0057] The initial alarm information includes the coordinates of the information collection location.

[0058] In some embodiments, it can be determined whether the data collected in real time in the fire monitoring information is greater than a preset threshold. If it is greater than the preset threshold, an initial alarm message is generated.

[0059] Step 103, determining a target camera whose distance from the information collection location coordinates is less than a preset threshold.

[0060] It is understandable that in order to quickly obtain the video of the location where the initial alarm information appears in the power station, it is necessary to find a camera that is closer to the alarm location as the target camera based on the coordinates of the information collection location, that is, to quickly find the target camera that can capture the image of the information collection location.

[0061] Step 104: Acquire video data collected by the target camera.

[0062] In one embodiment, video data within a target time period at a time point when the initial alarm information is generated may be acquired.

[0063] Step 105: output fire alarm information based on the degree of brightness change between different frames of video data.

[0064] It should be noted that the collected video data is analog data and needs to be converted to digital form. The data after analog-to-digital conversion is in the standard ITU 656YUV 4:2:2 format. The human eye is most sensitive to brightness. In order to simplify the algorithm and improve efficiency, the need for an alarm and the alarm level are determined directly based on the degree of brightness change between different frames of video data.

[0065] In some embodiments of the present application, step 105 specifically includes the following steps:

[0066] Selecting a first frame image and a second frame image with a preset frame spacing from the video data;

[0067] The first frame image and the second frame image are divided into multiple first sub-regions and multiple second sub-regions according to preset sizes respectively;

[0068] Grouping the plurality of first sub-regions and the plurality of second sub-regions to obtain a plurality of groups of sub-region images; each group of sub-region images includes the first sub-region and the second sub-region at the same position;

[0069] For each group of first sub-regions and second sub-regions having the same position, determining a regional difference coefficient for the first sub-region and the second sub-region based on a brightness value of each pixel in the first sub-region and a brightness value of each pixel in the second sub-region;

[0070] When there is at least one group of sub-region images whose regional difference coefficient is greater than a preset threshold, fire alarm information is output.

[0071] It can be understood that by dividing the first frame image and the second frame image and calculating the regional differential coefficient corresponding to each sub-region, the alarm range can be further narrowed, thereby improving the accuracy of the alarm.

[0072] In some embodiments of the present application, determining the regional differential coefficient for the first sub-region and the second sub-region based on the brightness value of each pixel in the first sub-region and the brightness value of each pixel in the second sub-region in step 105 specifically includes the following steps:

[0073] For a first pixel point and a second pixel point belonging to the same position, a difference between a brightness value of the first pixel point and a brightness value of the second pixel point is calculated to obtain a brightness difference value; the first pixel point is any pixel point in the first sub-region; the second pixel point is any pixel point in the second sub-region;

[0074] The number of pixels whose brightness difference between the first sub-region and the second sub-region is greater than a preset threshold is determined, and the number of pixels is used as the regional difference coefficient.

[0075] In some embodiments of the present application, the regional differential coefficients may be selected by machine in the following manner:

[0076] For each pixel (x, y) in the detection area, calculate the brightness difference M between the current frame T and the previous nth frame (Tn) xy :

[0077] M x,y (T)=||Y x,y (T)-Y x,y (Tn)||

[0078] Among them, Y xy (T) is the brightness value of the current frame T, Y xy (Tn) is the brightness value of the previous n-th frame (Tn).

[0079] Compare the change between the current differential value and the previous differential value:

[0080] ||M x,y (T)-M x,y (Tn)||≥T a

[0081] Among them, T a is the preset threshold.

[0082] Count the number of pixels that meet the conditions and use the number of pixels as the regional difference coefficient.

[0083] In some embodiments of the present application, before step 105, the method may further include:

[0084] Sending inquiry information for a preset frame spacing to a terminal device, so that the terminal device displays the inquiry information on a display screen;

[0085] The reply information sent by the receiving terminal device is the reply information of the user to the inquiry information; the reply information includes the preset frame spacing.

[0086] In one embodiment, the terminal device may query the user about the required frame spacing, thereby performing differential operations according to the actual needs of the user.

[0087] According to a fire alarm method proposed in an embodiment of the present disclosure, fire monitoring information collected by a fire monitoring system using a sensor module is obtained; when the fire monitoring information does not meet the preset fire safety conditions, initial alarm information is generated, a target camera whose distance from the information collection position coordinates is less than a preset threshold is determined, video data collected by the target camera is obtained, and fire alarm information is output based on the degree of brightness change between different frame data in the video data, so that corresponding monitoring video data can be retrieved in time for the monitored risks, risks can be quickly identified from the video data and fire alarm information can be issued, so that staff can discover risk situations in time and improve monitoring efficiency.

[0088] Figure 2 FIG. 1 is a block diagram of a fire alarm device according to an exemplary embodiment. Figure 2 The device includes a first acquisition unit 201, a generation unit 202, a determination unit 203, a second acquisition unit 204 and an output unit 205.

[0089] The first acquisition unit 201 is used to acquire the fire monitoring information collected by the fire monitoring system using the sensor module; the fire monitoring information includes the fire monitoring index value of the power station and the coordinates of the information collection location;

[0090] The generating unit 202 is used to generate initial alarm information when the fire monitoring information does not meet the preset fire safety conditions; the initial alarm information includes the coordinates of the information collection location;

[0091] A determination unit 203, configured to determine a target camera whose distance from the information collection location coordinates is less than a preset threshold;

[0092] The second acquisition unit 204 is used to acquire video data collected by the target camera;

[0093] The output unit 205 is used to output fire alarm information based on the brightness change degree between different frame data in the video data.

[0094] In some embodiments of the present application, the output unit 205 may be specifically configured to: select a first frame image and a second frame image with a preset frame spacing from the video data;

[0095] The first frame image and the second frame image are divided into multiple first sub-regions and multiple second sub-regions according to preset sizes respectively;

[0096] Grouping the plurality of first sub-regions and the plurality of second sub-regions to obtain a plurality of groups of sub-region images; each group of sub-region images includes the first sub-region and the second sub-region at the same position;

[0097] For each group of first sub-regions and second sub-regions having the same position, determining a regional difference coefficient for the first sub-region and the second sub-region based on a brightness value of each pixel in the first sub-region and a brightness value of each pixel in the second sub-region;

[0098] When there is at least one group of sub-region images whose regional difference coefficient is greater than a preset threshold, fire alarm information is output.

[0099] In some embodiments of the present application, the output unit 205 is further used to:

[0100] For a first pixel point and a second pixel point belonging to the same position, a difference between a brightness value of the first pixel point and a brightness value of the second pixel point is calculated to obtain a brightness difference value; the first pixel point is any pixel point in the first sub-region; the second pixel point is any pixel point in the second sub-region;

[0101] The number of pixels whose brightness difference between the first sub-region and the second sub-region is greater than a preset threshold is determined, and the number of pixels is used as the regional difference coefficient.

[0102] In some embodiments of the present application, the device may further include:

[0103] A sending unit, used to send inquiry information for a preset frame spacing to a terminal device, so that the terminal device displays the inquiry information on a display screen;

[0104] The receiving unit is used to receive the reply information sent by the terminal device; the reply information is the reply information of the user to the inquiry information; the reply information includes the preset frame spacing.

[0105] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0106] A fire alarm device proposed in accordance with an embodiment of the present disclosure obtains fire monitoring information collected by a fire monitoring system using a sensor module; generates initial alarm information when the fire monitoring information does not meet a preset fire safety condition; determines a target camera whose distance from the information collection position coordinates is less than a preset threshold; obtains video data collected by the target camera; and outputs fire alarm information based on the degree of brightness change between different frame data in the video data, thereby being able to timely retrieve corresponding monitoring video data for monitored risks, quickly identify risks from the video data and issue fire alarm information, so that staff can promptly discover risk situations and improve monitoring efficiency.

[0107] Figure 3 3 is a block diagram of a device for a fire alarm method according to an exemplary embodiment. For example, the device 300 may be an electronic device, such as a mobile phone, a computer, a digital broadcast terminal, a message transceiver device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0108] Reference Figure 3 , the device 300 may include one or more of the following components: a processing component 302 , a memory 304 , a power component 306 , a multimedia component 308 , an audio component 310 , an input / output (I / O) interface 312 , a sensor component 314 , and a communication component 316 .

[0109] The processing component 302 generally controls the overall operation of the device 300, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 302 may include one or more modules to facilitate the interaction between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate the interaction between the multimedia component 308 and the processing component 302.

[0110] The memory 304 is configured to store various types of data to support operations on the device 300. Examples of such data include instructions for any application or method operating on the device 300, contact data, phone book data, messages, pictures, videos, etc. The memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0111] The power component 306 provides power to the various components of the device 300. The power component 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 300.

[0112] The multimedia component 308 includes a screen that provides an output interface between the device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front camera and / or a rear camera. When the device 300 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0113] The audio component 310 is configured to output and / or input audio signals. For example, the audio component 310 includes a microphone (MIC), and when the device 300 is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 304 or sent via the communication component 316. In some embodiments, the audio component 310 also includes a speaker for outputting audio signals.

[0114] I / O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0115] The sensor assembly 314 includes one or more sensors for providing various aspects of status assessment for the device 300. For example, the sensor assembly 314 can detect the open / closed state of the device 300, the relative positioning of components, such as the display and keypad of the device 300, the sensor assembly 314 can also detect the position change of the device 300 or a component of the device 300, the presence or absence of user contact with the device 300, the orientation or acceleration / deceleration of the device 300 and the temperature change of the device 300. The sensor assembly 314 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 314 can also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 can also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

[0116] The communication component 316 is configured to facilitate wired or wireless communication between the device 300 and other devices. The device 300 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0117] In an exemplary embodiment, the apparatus 300 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0118] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 304 including instructions, and the instructions can be executed by the processor 320 of the device 300 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0119] In an exemplary embodiment, a computer program product is also provided, comprising a computer program, which implements the above method when executed by the processor 320 of the device 300 .

[0120] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0121] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A fire alarm method, characterized in that: include: Obtain fire monitoring information collected by the fire monitoring system using the sensor module; The fire monitoring information includes the fire monitoring index value of the power station and the coordinates of the information collection location; If the fire monitoring information does not meet the preset fire safety conditions, generate initial alarm information; The initial alarm information includes the coordinates of the information collection location; Determine a target camera whose distance from the information collection location coordinates is less than a preset threshold; Acquire video data collected by the target camera; Fire alarm information is output based on the degree of brightness change between different frame data in the video data.

2. The fire alarm method according to claim 1, characterized in that: The outputting of fire alarm information based on the brightness variation degree between different frames of data in the video data includes: Selecting a first frame image and a second frame image with a preset frame spacing from the video data; The first frame image and the second frame image are divided into multiple first sub-regions and multiple second sub-regions according to preset sizes respectively; The plurality of first sub-regions and the plurality of second sub-regions are grouped to obtain a plurality of groups of sub-region images; each group of sub-region images includes a first sub-region and a second sub-region at the same position; For each group of first sub-regions and second sub-regions having the same position, determining a regional difference coefficient for the first sub-region and the second sub-region based on a brightness value of each pixel in the first sub-region and a brightness value of each pixel in the second sub-region; When there is at least one group of sub-region images whose regional difference coefficient is greater than a preset threshold, fire alarm information is output.

3. The fire alarm method according to claim 2, characterized in that: The determining of the regional difference coefficients for the first sub-region and the second sub-region based on the brightness value of each pixel in the first sub-region and the brightness value of each pixel in the second sub-region includes: For a first pixel point and a second pixel point belonging to the same position, a difference between a brightness value of the first pixel point and a brightness value of the second pixel point is calculated to obtain a brightness difference value; the first pixel point is any pixel point in the first sub-region; the second pixel point is any pixel point in the second sub-region; The number of pixels in the first sub-region and the second sub-region whose brightness difference is greater than a preset threshold is determined, and the number of pixels is used as the regional difference coefficient.

4. The fire alarm method according to claim 2, characterized in that: Before outputting the fire alarm information based on the brightness variation between different frames of the video data, the method further includes: Sending inquiry information about a preset frame spacing to a terminal device; so that the terminal device displays the inquiry information on a display screen; A reply message sent by a receiving terminal device is received; the reply message is a user's reply message to the inquiry message; the reply message includes the preset frame spacing.

5. A fire alarm device, characterized in that: include: A first acquisition unit, used to acquire fire monitoring information collected by the fire monitoring system using the sensor module; The fire monitoring information includes the fire monitoring index value of the power station and the coordinates of the information collection location; A generating unit, configured to generate initial alarm information when the fire monitoring information does not meet a preset fire safety condition; The initial alarm information includes the coordinates of the information collection location; A determination unit, used to determine a target camera whose distance from the information collection position coordinates is less than a preset threshold; A second acquisition unit, used to acquire video data collected by the target camera; The output unit is used to output fire alarm information based on the degree of brightness change between different frame data in the video data.

6. The fire alarm device according to claim 5, characterized in that: The output unit is specifically used for: Selecting a first frame image and a second frame image with a preset frame spacing from the video data; The first frame image and the second frame image are divided into multiple first sub-regions and multiple second sub-regions according to preset sizes respectively; The plurality of first sub-regions and the plurality of second sub-regions are grouped to obtain a plurality of groups of sub-region images; each group of sub-region images includes a first sub-region and a second sub-region at the same position; For each group of first sub-regions and second sub-regions having the same position, determining a regional difference coefficient for the first sub-region and the second sub-region based on a brightness value of each pixel in the first sub-region and a brightness value of each pixel in the second sub-region; When there is at least one group of sub-region images whose regional difference coefficient is greater than a preset threshold, fire alarm information is output.

7. The fire alarm device according to claim 6, characterized in that: The output unit is further specifically used for: For a first pixel point and a second pixel point belonging to the same position, a difference between a brightness value of the first pixel point and a brightness value of the second pixel point is calculated to obtain a brightness difference value; the first pixel point is any pixel point in the first sub-region; the second pixel point is any pixel point in the second sub-region; The number of pixels in the first sub-region and the second sub-region whose brightness difference is greater than a preset threshold is determined, and the number of pixels is used as the regional difference coefficient.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 4 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

10. A computer program product, comprising a computer program, characterized in that The computer program implements the method according to any one of claims 1 to 4 when executed by a processor.

Citation Information

Patent Citations

  • Detection and early warning method of smoke

    CN101751744A

  • Image-type fire detection method based on cumulative prospect image

    CN102163361A

  • Fire early warning method based on infrared thermal imager in narrow environment

    CN105046868A

  • Remote large-space fire monitoring alarm method based on image processing technology

    CN105336085A

  • Fire early warning and alarming method based on NI myRIO

    CN108470425A