CN112489351A - School fire early warning method based on picture recognition - Google Patents
School fire early warning method based on picture recognition Download PDFInfo
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Abstract
The invention discloses a school fire early warning method based on picture identification, which collects a current picture through cameras arranged in different areas of a school, identifies the picture to judge whether a flame image exists, determines a corresponding target area if the flame image exists, acquires temperature detection information through target temperature detection equipment in the target area, acquires smoke detection information through target smoke detection equipment in the target area, further judges whether a fire event exists in the target area, generates early warning prompt information if the fire event exists, and performs school fire early warning based on the early warning prompt information. And before the fire becomes great, the fire is pre-warned, so that the effect of early warning in time is achieved.
Description
Technical Field
The invention relates to the technical field of fire detection, in particular to a school fire early warning method based on picture identification.
Background
In some public places, especially schools, fires are easy to occur, the consequences of the fires are serious, and the lives of students and property resources of the schools are seriously threatened, so that the fire incidents need to be detected and early warned in time.
At present, the smoke alarm is used for detecting the smoke concentration in the environment to alarm fire, but the space of a school is large, particularly the space of the school is large in a corridor of a teaching building, the school is spacious, the smoke alarm can be triggered only when the smoke concentration is large, the fire is large at the moment, the control is difficult, the optimal time for fire rescue and personnel evacuation is missed, and great loss is caused.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a school fire early warning method based on picture recognition, and aims to solve the technical problem that fire early warning is not timely in the prior art.
In order to achieve the above object, the present invention provides a school fire early warning method based on picture recognition, which comprises the following steps:
acquiring current pictures acquired by each camera, wherein the cameras are respectively arranged in different areas of a school;
traversing the current picture, and taking the traversed current picture as a picture to be detected;
carrying out picture identification on the picture to be detected, and judging whether a flame image exists in the picture to be detected according to a picture identification result;
when the flame image exists in the picture to be detected, taking a camera corresponding to the picture to be detected as a target camera, and determining a target area where the target camera is located;
searching target temperature detection equipment and target smoke detection equipment corresponding to the target area;
acquiring temperature detection information from the target temperature detection device, and acquiring smoke detection information from the target smoke detection device;
judging whether a fire accident exists in the target area or not according to the temperature detection information and the smoke detection information;
and when a fire incident exists in the target area, generating early warning prompt information, and carrying out school fire early warning based on the early warning prompt information.
Optionally, the searching for the target temperature detection device and the target smoke detection device corresponding to the target area includes:
searching for temperature detection equipment to be selected and smoke detection equipment to be selected corresponding to the target area;
acquiring the position information of the temperature detection equipment corresponding to the temperature detection equipment to be selected and the position information of the smoke detection equipment corresponding to the smoke detection equipment to be selected;
acquiring picture information corresponding to the picture to be detected, and determining flame position information of flame corresponding to the flame image according to the picture information;
and selecting target temperature detection equipment from the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information, and selecting target smoke detection equipment from the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information.
Optionally, the selecting a target temperature detection device from the temperature detection devices to be selected according to the flame position information and the temperature detection device position information, and selecting a target smoke detection device from the smoke detection devices to be selected according to the flame position information and the smoke detection device position information includes:
calculating a first distance between the flame and the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information;
judging whether the first distance is smaller than a preset temperature detection distance or not;
when the first distance is smaller than a preset temperature detection distance, the temperature detection equipment to be selected is used as target temperature detection equipment;
calculating a second distance between the flame corresponding to the flame image and the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information;
judging whether the second distance is smaller than a preset smoke detection distance;
and when the second distance is smaller than a preset smoke detection distance, using the smoke detection equipment to be selected as target smoke detection equipment.
Optionally, the determining whether a fire event exists in the target area according to the temperature detection information and the smoke detection information includes:
determining the current temperature according to the temperature detection information, and determining the current smoke concentration according to the smoke detection information;
comparing the current temperature with a preset temperature threshold value to obtain a first comparison result;
comparing the current smoke concentration with a preset smoke concentration threshold value to obtain a second comparison result;
and judging whether a fire accident exists in the target area according to the first comparison result and the second comparison result.
Optionally, after determining whether a fire event exists in the target area according to the first comparison result and the second comparison result, the method further includes:
and when the first comparison result indicates that the current temperature is greater than a preset temperature threshold value and/or the second comparison result indicates that the current smoke concentration is greater than the preset smoke concentration threshold value, determining that a fire accident exists in the target area.
Optionally, the generating early warning prompt information when a fire incident exists in the target area, and performing school fire early warning based on the early warning prompt information includes:
determining a flame region according to the flame image when a fire event exists in the target region;
determining a fire extent rating based on the flame region, the current temperature, and the current smoke concentration;
and generating early warning prompt information according to the fire degree grade, and carrying out school fire early warning based on the early warning prompt information.
Optionally, the generating early warning prompt information according to the fire degree grade, and performing school fire early warning based on the early warning prompt information includes:
searching target area information corresponding to the target area, and generating early warning prompt information according to the target area information and the fire degree grade;
generating broadcast information based on the early warning prompt information;
acquiring broadcasting equipment information, and determining the broadcasting equipment in the school according to the broadcasting equipment information;
and sending the broadcast information to the broadcasting equipment for broadcasting so as to perform fire early warning of schools.
Optionally, the acquiring temperature detection information from the target temperature detection device and acquiring smoke detection information from the target smoke detection device includes:
respectively generating a temperature detection instruction corresponding to the target temperature detection device and a smoke detection instruction corresponding to the target smoke detection device;
sending the temperature detection instruction to the target temperature detection equipment so that the target temperature detection equipment obtains temperature detection information based on the temperature detection instruction and feeds back the temperature detection information;
and sending the smoke detection instruction to the target smoke detection equipment so that the target smoke detection equipment obtains smoke detection information based on the smoke detection instruction and feeds back the feedback smoke detection information.
In addition, in order to achieve the above object, the present invention further provides a school fire early warning device based on picture recognition, wherein the school fire early warning device based on picture recognition comprises:
the image acquisition module is used for acquiring current images acquired by the cameras, and the cameras are respectively arranged in different areas of a school;
the picture selection module is used for traversing the current picture and taking the traversed current picture as a picture to be detected;
the picture identification module is used for carrying out picture identification on the picture to be detected and judging whether a flame image exists in the picture to be detected according to a picture identification result;
the region determining module is used for taking the camera corresponding to the picture to be detected as a target camera when the flame image exists in the picture to be detected and determining a target region where the target camera is located;
the device searching module is used for searching target temperature detection devices and target smoke detection devices corresponding to the target area;
the information acquisition module is used for acquiring temperature detection information from the target temperature detection equipment and acquiring smoke detection information from the target smoke detection equipment;
the fire detection module is used for judging whether a fire event exists in the target area according to the temperature detection information and the smoke detection information;
and the fire early warning module is used for generating early warning prompt information when a fire incident exists in the target area, and carrying out school fire early warning based on the early warning prompt information.
In addition, in order to achieve the above object, the present invention further provides a school fire early warning device based on picture recognition, where the school fire early warning device based on picture recognition includes: the image recognition-based school fire early warning method comprises a memory, a processor and a school fire early warning program based on image recognition, wherein the school fire early warning program based on image recognition is stored in the memory and can run on the processor, and when being executed by the processor, the steps of the school fire early warning method based on image recognition are realized.
The invention provides a school fire early warning method based on picture recognition, which comprises the steps of collecting a current picture through cameras arranged in different areas of a school, determining the picture to be detected, carrying out picture recognition on the picture to be detected to judge whether a flame image exists or not, if so, taking the camera to be detected as a target camera, determining a target area corresponding to the camera, obtaining temperature detection information through target temperature detection equipment in the target area, obtaining smoke detection information through target smoke detection equipment in the target area, further judging whether a fire event exists in the target area or not, if so, generating early warning prompt information, carrying out school fire early warning based on the early warning prompt information, and compared with the prior art that the fire event is detected only through a smoke alarm, the invention recognizes the flame image through a picture recognition technology, and combines the temperature detection equipment and the smoke detection equipment to carry out detection, the fire accident can be identified under the condition of small fire intensity, and fire early warning is carried out before the fire intensity becomes larger, so that the effect of early warning in time is achieved.
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Fig. 1 is a schematic structural diagram of a school fire warning device based on picture recognition in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a school fire warning method based on picture recognition according to the present invention;
FIG. 3 is a schematic diagram of a camera of a teaching building according to an embodiment of the school fire warning method based on picture recognition;
FIG. 4 is a flowchart illustrating a second embodiment of a school fire warning method based on picture recognition according to the present invention;
FIG. 5 is a schematic diagram of a corridor of a teaching building 3 according to an embodiment of the school fire warning method based on picture recognition;
FIG. 6 is a flowchart illustrating a third embodiment of a school fire warning method based on picture recognition according to the present invention;
fig. 7 is a schematic functional module diagram of a school fire warning device based on picture recognition according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a school fire warning device based on picture recognition in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the school fire early warning device based on picture recognition may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may comprise a Display screen (Display), an input unit such as keys, and the optional user interface 1003 may also comprise a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a non-volatile Memory (e.g., a magnetic disk Memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 does not constitute a limitation of the picture recognition based school fire warning apparatus and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a school fire warning program based on picture recognition.
In the school fire early warning device based on picture recognition shown in fig. 1, the network interface 1004 is mainly used for connecting an external network and performing data communication with other network devices; the user interface 1003 is mainly used for connecting to a user equipment and performing data communication with the user equipment; the device calls a school fire early warning program based on picture recognition stored in the memory 1005 through the processor 1001, and executes the school fire early warning method based on picture recognition provided by the embodiment of the invention.
Based on the hardware structure, the embodiment of the school fire early warning method based on the picture identification is provided.
Referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of a school fire warning method based on picture recognition according to the present invention.
In a first embodiment, the school fire early warning method based on picture recognition includes the following steps:
and step S10, acquiring current pictures acquired by the cameras, wherein the cameras are respectively arranged in different areas of the school.
It should be noted that, the execution subject in this embodiment may be school fire warning equipment based on picture recognition, for example, a computer device, or may also be other equipment capable of implementing the same or similar functions.
It should be noted that, because the space of the school is large, in order to achieve a good monitoring effect, cameras can be arranged in different areas within the range of the whole school, pictures are collected through the cameras, and fire early warning is performed based on the pictures collected by the cameras. For example, one camera may be arranged in each classroom, one or more cameras may be arranged in a corridor of each floor, and the like, and other arrangements are also possible, which is not limited in this embodiment.
In a specific implementation, a teaching building of a school is taken as an example for explanation, as shown in fig. 3, fig. 3 is a schematic view of a camera setup of the teaching building, the teaching building in the figure is a first teaching building, the first teaching building is divided into 5 floors, and a camera is set up at the end of a corridor of each floor. For example, camera a is provided at the end of the corridor of building 1, camera B is provided at the end of the corridor of building 2, camera C is provided at the end of the corridor of building 3, camera D is provided at the end of the corridor of building 4, and camera E is provided at the end of the corridor of building 5.
It should be understood that, because the camera generally performs video recording in real time to achieve a monitoring effect, the camera may acquire video data acquired by the camera and process the video data to obtain a current picture, or may directly acquire the current picture taken by the camera, which is not limited in this embodiment. Wherein, the method for processing the video data to obtain the current picture may be converting the video data frame by frame to obtain the current picture, or extracting the current picture from the video data based on a preset time interval, for example, intercepting the current picture every 10 seconds, or other processing methods,
and step S20, traversing the current picture, and taking the traversed current picture as a picture to be detected.
It should be understood that the current picture collected by the multiple cameras may be received, for example, camera a corresponds to current picture a, camera B corresponds to current picture B, camera C corresponds to current picture C, camera D corresponds to current picture D, and camera E corresponds to current picture E. 5 current pictures can be known by traversing the current pictures, and the 5 current pictures are sequentially used as pictures to be detected for detection.
And step S30, performing picture identification on the picture to be detected, and judging whether a flame image exists in the picture to be detected according to a picture identification result.
It should be understood that the picture to be detected may be subjected to picture recognition, and whether a flame image exists in the picture to be detected is determined according to a picture recognition result. Because flames are of special colors, such as red, yellow, blue and the like, and the colors of the flames are different from the colors of other common things, the flame color corresponding to the flames can be preset, whether the flame color exists in the picture to be detected is judged, when the flame color exists, the image area corresponding to the flame color is further detected to obtain the shape to be detected, whether the shape to be detected is the flame shape is judged, and when the shape to be detected is the flame shape, the flame image exists in the picture to be detected is judged.
In specific implementation, a flame color value corresponding to the flame color can be set, then a picture color value corresponding to the picture to be detected is obtained, and whether the flame color exists in the picture to be detected is judged according to the picture color value and the flame color value.
And step S40, when the flame image exists in the picture to be detected, taking the camera corresponding to the picture to be detected as a target camera, and determining a target area where the target camera is located.
It should be understood that when a flame image exists in the picture to be detected, the camera corresponding to the picture to be detected can be used as a target camera, and a target area where the target camera is located is determined. For example, as shown in fig. 3, when there is a flame image in the to-be-detected picture and the to-be-detected picture is a picture corresponding to the camera C, the camera C may be used as a target camera, and a 3-floor corridor where the camera C is located may be used as a target area.
And step S50, searching for target temperature detection equipment and target smoke detection equipment corresponding to the target area.
It should be noted that one or more temperature detection devices for detecting temperature and smoke detection devices for detecting smoke concentration may be provided in each area. Therefore, after the target area is determined, the target temperature detection device and the target smoke detection device corresponding to the target area can be searched.
Step S60, obtaining temperature detection information from the target temperature detection device, and obtaining smoke detection information from the target smoke detection device.
It should be understood that a temperature detection instruction corresponding to the target temperature detection device and a smoke detection instruction corresponding to the target smoke detection device may be generated respectively; sending the temperature detection instruction to the target temperature detection equipment so that the target temperature detection equipment obtains temperature detection information based on the temperature detection instruction and feeds back the temperature detection information; and sending the smoke detection instruction to the target smoke detection equipment so that the target smoke detection equipment obtains smoke detection information based on the smoke detection instruction and feeds back the feedback smoke detection information.
It can be understood that the temperature detection information can be obtained by the target temperature detection device and fed back, and the smoke detection information can be obtained by the smoke detection device and fed back, so as to achieve the purpose of obtaining the temperature detection information and the smoke detection information.
And step S70, judging whether a fire accident exists in the target area according to the temperature detection information and the smoke detection information.
It should be understood that since the temperature in the air increases and the smoke concentration in the air also increases in the presence of a fire event, it is possible to determine whether a fire event is present in the target area based on the temperature detection information and the smoke detection information, as distinguished from the normal air condition.
It should be noted that, since the lighter may emit a flame, and there may be a case where a cigarette is smoked in a corridor, and the lighter needs to be used, it may be determined that the fire event is inaccurate and may be misjudged only by recognizing the flame image.
It will be appreciated that when a lighter or other controllable lighting device is used, although a flame is emitted, the temperature and smoke concentration in the air will not rise too much, and therefore, fire warning operations will not be triggered in such a scenario, increasing the accuracy of fire event detection.
And step S80, generating early warning prompt information when a fire accident exists in the target area, and carrying out school fire early warning based on the early warning prompt information.
It should be understood that, when a fire accident exists in the target area, in order to avoid that the fire is too big, and the optimal fire extinguishing opportunity and the optimal evacuation opportunity are missed, early warning prompt information can be generated to perform school fire early warning, so that the effect of early warning in time is achieved. The early warning mode can be a mode of broadcasting and reporting to give an early warning to prompt teachers and students in schools to evacuate as soon as possible, and can also be a mode of sending a prompt short message to mobile phones of security guards, leaders and teachers in schools to give an early warning, and other early warning modes can be provided, and the embodiment does not limit the mode.
It can be understood that besides the early warning operation, the device can prompt teachers and students in schools to evacuate as soon as possible, and can also automatically make a fire alarm call to give an alarm so as to strive for the fastest rescue time.
In the embodiment, the current picture is acquired through cameras arranged in different areas of a school, the picture to be detected is determined, picture identification is carried out on the picture to be detected to judge whether a flame image exists, if yes, the camera to be detected is used as a target camera, a target area corresponding to the target camera is determined, temperature detection information is acquired through target temperature detection equipment in the target area, smoke detection information is acquired through target smoke detection equipment in the target area, whether a fire event exists in the target area is further judged, if yes, early warning prompt information is generated, school fire early warning is carried out based on the early warning prompt information, compared with the prior art that the fire event is detected through a smoke alarm only, the flame image is identified through a picture identification technology in the embodiment, detection is carried out through combination of the temperature detection equipment and the smoke detection equipment, and the fire event can be identified under the condition that the fire is small, and before the fire becomes great, the fire is pre-warned, so that the effect of early warning in time is achieved.
In an embodiment, as shown in fig. 4, a second embodiment of the school fire warning method based on picture recognition according to the present invention is provided based on the first embodiment, and the step S50 includes:
step S501, the temperature detection equipment to be selected and the smoke detection equipment to be selected corresponding to the target area are searched.
It should be understood that, since a plurality of temperature detection devices and a plurality of smoke detection devices may be provided in each area at the same time, in order to improve the accuracy of detection data, the most suitable temperature detection device and smoke detection device may be selected from the plurality of temperature detection devices and the plurality of smoke detection devices to acquire detection information.
In a specific implementation, as shown in fig. 5, fig. 5 is a schematic diagram of a corridor on the 3 rd floor of a teaching building, when the 3 rd floor of the teaching building is a target area, there are 2 temperature detection devices to be selected, which are H1 and H2, respectively, and 2 smoke detection devices to be selected, which are P1 and P2, respectively.
Step S502, obtaining the position information of the temperature detection device corresponding to the temperature detection device to be selected and the position information of the smoke detection device corresponding to the smoke detection device to be selected.
It should be understood that, since the device positions of the temperature detection device to be selected and the smoke detection device to be selected are fixed, the temperature detection device to be selected and the smoke detection device to be selected may also be photographed in the photographing screen of the camera. Therefore, the position information of the temperature detection device corresponding to the temperature detection device to be selected and the position information of the smoke detection device corresponding to the smoke detection device to be selected can be obtained from the picture to be detected.
Step S503, obtaining picture information corresponding to the picture to be detected, and determining flame position information of the flame corresponding to the flame image according to the picture information.
It should be understood that picture information corresponding to the picture to be detected can be acquired, and then flame position information of the flame corresponding to the flame image can be determined according to the picture information.
Step S504, selecting target temperature detection equipment from the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information, and selecting target smoke detection equipment from the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information.
It should be understood that the first distance between the flame and the temperature detection device to be selected may be determined according to the flame position information and the temperature detection device position information, so as to select the target temperature detection device from the temperature detection devices to be selected. And determining a second distance between the flame and the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information, and further selecting target smoke detection equipment from the smoke detection equipment to be selected.
Further, in order to more accurately determine the target temperature detection device and the target smoke detection device, step S504 includes:
calculating a first distance between the flame and the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information; judging whether the first distance is smaller than a preset temperature detection distance or not; when the first distance is smaller than a preset temperature detection distance, the temperature detection equipment to be selected is used as target temperature detection equipment; calculating a second distance between the flame corresponding to the flame image and the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information; judging whether the second distance is smaller than a preset smoke detection distance; and when the second distance is smaller than a preset smoke detection distance, using the smoke detection equipment to be selected as target smoke detection equipment.
It should be noted that the preset temperature detection distance and the preset smoke detection distance may be preset according to information such as a brand and a model of the device, for example, the preset temperature detection distance may be 5 meters, the preset smoke detection distance may be 4 meters, and other values may also be used. When the first distance is smaller than the preset temperature detection distance, the detection effect of the temperature detection equipment is good, and if the first distance is larger than or equal to the preset temperature detection distance, the detection effect of the temperature detection equipment is poor. When the second distance is smaller than the preset smoke detection distance, the detection effect of the smoke detection device is good, and if the second distance is larger than or equal to the preset smoke detection distance, the detection effect of the smoke detection device is poor. The device with the better detection effect has better detection accuracy, and therefore, in the embodiment, the device with the better detection is selected as the target device.
In a specific implementation, the distance between H1 and the flame can be calculated to be L1, the distance between H2 and the flame is calculated to be L2, the distance between P1 and the flame is calculated to be L3, and the distance between P2 and the flame is calculated to be L4. There may be a case where the detection effects of a plurality of apparatuses are better, for example, L1 and L2 are both smaller than 5 meters, and P1 and P2 are both smaller than 4 meters, at this time, L1 and L2 may be compared, and the temperature detection apparatus corresponding to the smaller one of L1 and L2 is taken as the target temperature detection apparatus, for example, when L1 is smaller, H1 is taken as the target temperature detection apparatus; when L2 was small, H2 was used as the target temperature detection device. L3 may be compared with L4, with the smoke detection device corresponding to the smaller of L3 and L4 being the target smoke detection device, e.g. with L3 being smaller, with P1 being the target smoke detection device; when L4 was small, P2 was used as the target smoke detection device.
In the embodiment, the temperature detection equipment to be selected and the smoke detection equipment to be selected corresponding to the target area are searched; acquiring the position information of the temperature detection equipment corresponding to the temperature detection equipment to be selected and the position information of the smoke detection equipment corresponding to the smoke detection equipment to be selected; acquiring picture information corresponding to the picture to be detected, and determining flame position information of flame corresponding to the flame image according to the picture information; and selecting target temperature detection equipment from the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information, and selecting target smoke detection equipment from the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information. According to the method and the device, the target temperature detection device and the target smoke detection device are determined according to the position information of the temperature detection device to be selected in the target area, the position information of the smoke detection device to be selected and the flame position information of the flame corresponding to the flame image, and the information detected by the target temperature detection device and the information detected by the target smoke detection device are combined to judge whether a fire accident exists in the target area, so that the accuracy of detecting the fire accident is further improved, and the accuracy of school fire early warning is further improved.
In an embodiment, as shown in fig. 6, a third embodiment of the school fire warning method based on picture recognition according to the present invention is provided based on the first embodiment or the second embodiment, in this embodiment, the description is made based on the first embodiment, and the step S70 includes:
and S701, determining the current temperature according to the temperature detection information, and determining the current smoke concentration according to the smoke detection information.
It is to be understood that, since the current temperature is included in the temperature detection information and the current smoke concentration is included in the smoke detection information, the current temperature may be determined from the temperature detection information and the current smoke concentration may be determined from the smoke detection information.
Step S702, comparing the current temperature with a preset temperature threshold value to obtain a first comparison result.
It should be understood that the preset temperature threshold may be a value set in advance, and the embodiment is not limited thereto. After determining the current temperature, the current temperature may be compared to a preset temperature threshold to obtain a first comparison result.
Step S703, comparing the current smoke concentration with a preset smoke concentration threshold to obtain a second comparison result.
It should be understood that the preset smoke concentration threshold may be a value set in advance, and the embodiment is not limited thereto. After determining the current smoke concentration, the current smoke concentration may be compared to a preset smoke concentration threshold to obtain a second comparison result.
Step S704, determining whether a fire event exists in the target area according to the first comparison result and the second comparison result.
It should be understood that when the first comparison result is that the current temperature is greater than the preset temperature threshold value and/or the second comparison result is that the current smoke concentration is greater than the preset smoke concentration threshold value, it is determined that a fire event exists in the target area.
It can be understood that, when the first comparison result is that the current temperature is greater than the preset temperature threshold, it indicates that the temperature in the target area is higher at this time, and when the second comparison result is that the current smoke concentration is greater than the preset smoke concentration threshold, it indicates that the smoke concentration in the target area is higher at this time, both of them are possible to have a fire. Therefore, when the first comparison result is that the current temperature is greater than a preset temperature threshold value and/or the second comparison result is that the current smoke concentration is greater than the preset smoke concentration threshold value, it is determined that a fire accident exists in the target area.
Further, in order to make the content of the early warning prompt information richer, when a fire incident exists in the target area, the early warning prompt information is generated, and school fire early warning is performed based on the early warning prompt information, which includes:
determining a flame region according to the flame image when a fire event exists in the target region; determining a fire extent rating based on the flame region, the current temperature, and the current smoke concentration; and generating early warning prompt information according to the fire degree grade, and carrying out school fire early warning based on the early warning prompt information.
It should be understood that different fire level classes correspond to different flame zone sizes, temperatures, and smoke concentrations, and thus, a plurality of fire level classes, e.g., first-class fire, second-class fire, third-class fire, etc., may be preset, and different flame zone sizes, temperatures, and smoke concentrations may be set for different classes of fires.
It can be understood that when a fire accident exists in a target area, a flame area can be determined according to a flame image, the size of the flame area is further determined, then a fire degree grade is determined according to the size of the flame area, the current temperature and the current smoke concentration, early warning prompt information is generated according to the fire degree grade, and school fire early warning is carried out based on the early warning prompt information.
In a specific implementation, when the fire degree class is first-class fire, the early warning prompt message can be generated to indicate that the first-class fire event happens after people pay attention to the early warning prompt message.
Further, in order to make the early warning prompt information more pertinent, the early warning prompt information is generated according to the fire degree grade, and the school fire early warning is performed based on the early warning prompt information, which includes:
searching target area information corresponding to the target area, and generating early warning prompt information according to the target area information and the fire degree grade; generating broadcast information based on the early warning prompt information; acquiring broadcasting equipment information, and determining the broadcasting equipment in the school according to the broadcasting equipment information; and sending the broadcast information to the broadcasting equipment for broadcasting so as to perform fire early warning of schools.
It should be understood that target area information corresponding to the target area may be searched, and the early warning prompt information may be generated according to the target area information and the fire degree level.
In a specific implementation, for example, when the target area information corresponding to the target area is a corridor of the first teaching building 3, the early warning prompt information may be generated as "please notice that a first-level fire incident occurs in the corridor of the first teaching building 3".
It can be understood that, for better giving an early warning to teachers and students in schools, the broadcast information can be generated based on the early warning prompt information, all broadcast equipment in the school is determined by acquiring the broadcast equipment information, and the broadcast information is sent to the broadcast equipment to be broadcast, so that the fire early warning of schools is carried out, and a better fire early warning effect of schools is achieved.
In the embodiment, the current temperature is determined according to the temperature detection information, and the current smoke concentration is determined according to the smoke detection information; comparing the current temperature with a preset temperature threshold value to obtain a first comparison result; comparing the current smoke concentration with a preset smoke concentration threshold value to obtain a second comparison result; and judging whether a fire accident exists in the target area according to the first comparison result and the second comparison result. In the embodiment, the current temperature of the target area is compared with the preset temperature threshold, and the current smoke concentration is compared with the preset smoke concentration threshold, so that whether a fire accident exists in the target area is judged, and the fire accident can be accurately detected.
In addition, referring to fig. 7, an embodiment of the present invention further provides a school fire early warning device based on picture recognition, where the school fire early warning device based on picture recognition includes:
and the picture acquisition module 10 is used for acquiring current pictures acquired by the cameras, and the cameras are respectively arranged in different areas of the school.
And the picture selection module 20 is configured to traverse the current picture, and use the traversed current picture as a picture to be detected.
And the picture identification module 30 is used for carrying out picture identification on the picture to be detected and judging whether a flame image exists in the picture to be detected according to a picture identification result.
And the region determining module 40 is configured to, when a flame image exists in the picture to be detected, use the camera corresponding to the picture to be detected as a target camera, and determine a target region where the target camera is located.
And the device searching module 50 is configured to search for the target temperature detection device and the target smoke detection device corresponding to the target area.
An information obtaining module 60, configured to obtain temperature detection information from the target temperature detection device, and obtain smoke detection information from the target smoke detection device.
And a fire detection module 70, configured to determine whether a fire event exists in the target area according to the temperature detection information and the smoke detection information.
And a fire early warning module 80, configured to generate early warning prompt information when a fire incident exists in the target area, and perform school fire early warning based on the early warning prompt information.
In the embodiment, the current picture is acquired through cameras arranged in different areas of a school, the picture to be detected is determined, picture identification is carried out on the picture to be detected to judge whether a flame image exists, if yes, the camera to be detected is used as a target camera, a target area corresponding to the target camera is determined, temperature detection information is acquired through target temperature detection equipment in the target area, smoke detection information is acquired through target smoke detection equipment in the target area, whether a fire event exists in the target area is further judged, if yes, early warning prompt information is generated, school fire early warning is carried out based on the early warning prompt information, compared with the prior art that the fire event is detected through a smoke alarm only, the flame image is identified through a picture identification technology in the embodiment, detection is carried out through combination of the temperature detection equipment and the smoke detection equipment, and the fire event can be identified under the condition that the fire is small, and before the fire becomes great, the fire is pre-warned, so that the effect of early warning in time is achieved.
In an embodiment, the device searching module 50 is further configured to search for a to-be-selected temperature detection device and a to-be-selected smoke detection device corresponding to the target area; acquiring the position information of the temperature detection equipment corresponding to the temperature detection equipment to be selected and the position information of the smoke detection equipment corresponding to the smoke detection equipment to be selected; acquiring picture information corresponding to the picture to be detected, and determining flame position information of flame corresponding to the flame image according to the picture information; and selecting target temperature detection equipment from the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information, and selecting target smoke detection equipment from the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information.
In an embodiment, the device searching module 50 is further configured to calculate a first distance between the flame and the temperature detection device to be selected according to the flame position information and the temperature detection device position information; judging whether the first distance is smaller than a preset temperature detection distance or not; when the first distance is smaller than a preset temperature detection distance, the temperature detection equipment to be selected is used as target temperature detection equipment; calculating a second distance between the flame corresponding to the flame image and the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information; judging whether the second distance is smaller than a preset smoke detection distance; and when the second distance is smaller than a preset smoke detection distance, using the smoke detection equipment to be selected as target smoke detection equipment.
In one embodiment, the fire detection module 70 is further configured to determine a current temperature according to the temperature detection information, and determine a current smoke concentration according to the smoke detection information; comparing the current temperature with a preset temperature threshold value to obtain a first comparison result; comparing the current smoke concentration with a preset smoke concentration threshold value to obtain a second comparison result; and judging whether a fire accident exists in the target area according to the first comparison result and the second comparison result.
In an embodiment, the fire detection module 70 is further configured to determine that a fire event exists in the target area when the first comparison result indicates that the current temperature is greater than a preset temperature threshold, and/or the second comparison result indicates that the current smoke concentration is greater than the preset smoke concentration threshold.
In one embodiment, the fire early warning module 80 is further configured to determine a flame region according to the flame image when a fire event occurs in the target region; determining a fire extent rating based on the flame region, the current temperature, and the current smoke concentration; and generating early warning prompt information according to the fire degree grade, and carrying out school fire early warning based on the early warning prompt information.
In an embodiment, the fire early warning module 80 is further configured to search for target area information corresponding to the target area, and generate early warning prompt information according to the target area information and the fire degree level; generating broadcast information based on the early warning prompt information; acquiring broadcasting equipment information, and determining the broadcasting equipment in the school according to the broadcasting equipment information; and sending the broadcast information to the broadcasting equipment for broadcasting so as to perform fire early warning of schools.
In an embodiment, the information obtaining module 60 is further configured to generate a temperature detection instruction corresponding to the target temperature detection device and a smoke detection instruction corresponding to the target smoke detection device respectively; sending the temperature detection instruction to the target temperature detection equipment so that the target temperature detection equipment obtains temperature detection information based on the temperature detection instruction and feeds back the temperature detection information; and sending the smoke detection instruction to the target smoke detection equipment so that the target smoke detection equipment obtains smoke detection information based on the smoke detection instruction and feeds back the feedback smoke detection information.
Other embodiments or specific implementation methods of the school fire early warning device based on image recognition may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes instructions for enabling an intelligent device (such as a mobile phone, an estimator, a school fire alarm device based on picture recognition, an air conditioner, or a school fire alarm device based on picture recognition in network, etc.) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A school fire early warning method based on picture recognition is characterized by comprising the following steps:
acquiring current pictures acquired by each camera, wherein the cameras are respectively arranged in different areas of a school;
traversing the current picture, and taking the traversed current picture as a picture to be detected;
carrying out picture identification on the picture to be detected, and judging whether a flame image exists in the picture to be detected according to a picture identification result;
when the flame image exists in the picture to be detected, taking a camera corresponding to the picture to be detected as a target camera, and determining a target area where the target camera is located;
searching target temperature detection equipment and target smoke detection equipment corresponding to the target area;
acquiring temperature detection information from the target temperature detection device, and acquiring smoke detection information from the target smoke detection device;
judging whether a fire accident exists in the target area or not according to the temperature detection information and the smoke detection information;
and when a fire incident exists in the target area, generating early warning prompt information, and carrying out school fire early warning based on the early warning prompt information.
2. The school fire early warning method based on picture recognition as claimed in claim 1, wherein said finding the target temperature detection device and the target smoke detection device corresponding to the target area comprises:
searching for temperature detection equipment to be selected and smoke detection equipment to be selected corresponding to the target area;
acquiring the position information of the temperature detection equipment corresponding to the temperature detection equipment to be selected and the position information of the smoke detection equipment corresponding to the smoke detection equipment to be selected;
acquiring picture information corresponding to the picture to be detected, and determining flame position information of flame corresponding to the flame image according to the picture information;
and selecting target temperature detection equipment from the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information, and selecting target smoke detection equipment from the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information.
3. The school fire early warning method based on picture recognition according to claim 2, wherein the selecting a target temperature detection device from the candidate temperature detection devices according to the flame position information and the temperature detection device position information, and selecting a target smoke detection device from the candidate smoke detection devices according to the flame position information and the smoke detection device position information comprises:
calculating a first distance between the flame and the temperature detection equipment to be selected according to the flame position information and the temperature detection equipment position information;
judging whether the first distance is smaller than a preset temperature detection distance or not;
when the first distance is smaller than a preset temperature detection distance, the temperature detection equipment to be selected is used as target temperature detection equipment;
calculating a second distance between the flame corresponding to the flame image and the smoke detection equipment to be selected according to the flame position information and the smoke detection equipment position information;
judging whether the second distance is smaller than a preset smoke detection distance;
and when the second distance is smaller than a preset smoke detection distance, using the smoke detection equipment to be selected as target smoke detection equipment.
4. The school fire early warning method based on picture recognition according to any one of claims 1 to 3, wherein the determining whether a fire event exists in the target area according to the temperature detection information and the smoke detection information comprises:
determining the current temperature according to the temperature detection information, and determining the current smoke concentration according to the smoke detection information;
comparing the current temperature with a preset temperature threshold value to obtain a first comparison result;
comparing the current smoke concentration with a preset smoke concentration threshold value to obtain a second comparison result;
and judging whether a fire accident exists in the target area according to the first comparison result and the second comparison result.
5. The school fire early warning method based on picture recognition according to claim 4, wherein after determining whether a fire event exists in the target area according to the first comparison result and the second comparison result, the method further comprises:
and when the first comparison result indicates that the current temperature is greater than a preset temperature threshold value and/or the second comparison result indicates that the current smoke concentration is greater than the preset smoke concentration threshold value, determining that a fire accident exists in the target area.
6. The school fire early warning method based on picture recognition as claimed in claim 4, wherein said generating early warning prompt information when there is a fire incident in said target area, and performing school fire early warning based on said early warning prompt information, comprises:
determining a flame region according to the flame image when a fire event exists in the target region;
determining a fire extent rating based on the flame region, the current temperature, and the current smoke concentration;
and generating early warning prompt information according to the fire degree grade, and carrying out school fire early warning based on the early warning prompt information.
7. The school fire early warning method based on picture recognition as claimed in claim 6, wherein said generating early warning prompt information according to said fire degree class and performing school fire early warning based on said early warning prompt information comprises:
searching target area information corresponding to the target area, and generating early warning prompt information according to the target area information and the fire degree grade;
generating broadcast information based on the early warning prompt information;
acquiring broadcasting equipment information, and determining the broadcasting equipment in the school according to the broadcasting equipment information;
and sending the broadcast information to the broadcasting equipment for broadcasting so as to perform fire early warning of schools.
8. The school fire early warning method based on picture recognition according to any one of claims 1 to 3, wherein the obtaining temperature detection information from the target temperature detection device and obtaining smoke detection information from the target smoke detection device comprises:
respectively generating a temperature detection instruction corresponding to the target temperature detection device and a smoke detection instruction corresponding to the target smoke detection device;
sending the temperature detection instruction to the target temperature detection equipment so that the target temperature detection equipment obtains temperature detection information based on the temperature detection instruction and feeds back the temperature detection information;
and sending the smoke detection instruction to the target smoke detection equipment so that the target smoke detection equipment obtains smoke detection information based on the smoke detection instruction and feeds back the feedback smoke detection information.
9. The utility model provides a school's conflagration early warning device based on picture discernment which characterized in that, school's conflagration early warning device based on picture discernment includes:
the image acquisition module is used for acquiring current images acquired by the cameras, and the cameras are respectively arranged in different areas of a school;
the picture selection module is used for traversing the current picture and taking the traversed current picture as a picture to be detected;
the picture identification module is used for carrying out picture identification on the picture to be detected and judging whether a flame image exists in the picture to be detected according to a picture identification result;
the region determining module is used for taking the camera corresponding to the picture to be detected as a target camera when the flame image exists in the picture to be detected and determining a target region where the target camera is located;
the device searching module is used for searching target temperature detection devices and target smoke detection devices corresponding to the target area;
the information acquisition module is used for acquiring temperature detection information from the target temperature detection equipment and acquiring smoke detection information from the target smoke detection equipment;
the fire detection module is used for judging whether a fire event exists in the target area according to the temperature detection information and the smoke detection information;
and the fire early warning module is used for generating early warning prompt information when a fire incident exists in the target area, and carrying out school fire early warning based on the early warning prompt information.
10. The utility model provides a school fire early warning equipment based on picture discernment which characterized in that, school fire early warning equipment based on picture discernment includes: a memory, a processor and a school fire early warning program based on picture recognition stored on the memory and operable on the processor, the school fire early warning program based on picture recognition implementing the steps of the school fire early warning method based on picture recognition as claimed in any one of claims 1 to 7 when executed by the processor.
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