CN112562250A - Fire early warning method with camera detection device and smoke alarm linked - Google Patents
Fire early warning method with camera detection device and smoke alarm linked Download PDFInfo
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- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
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Abstract
The invention discloses a fire early warning method for linkage of a camera detection device and a smoke alarm, which comprises the following steps of 1: the smoke alarm detects that the smoke concentration reaches a first threshold value, and triggers the camera detection device to split a video, which is in a preset time period at the current moment, into a plurality of continuous images frame by frame; step 2: sequentially carrying out target detection on the images and judging whether the smoke is in a controllable range of a person, if so, executing a step 3, otherwise, executing a step 4; and step 3: the camera detection device triggers the smoke alarm to send out a secondary alarm; and 4, step 4: the camera detection device sends a danger prompt to the user side, if the user side does not respond within a preset response time period, the smoke alarm is triggered to send a primary alarm, and if not, the operation is finished; in the process of the step 1-4, if the smoke concentration reaches a second threshold value, sending a danger prompt to a user side and directly sending a first-level alarm; accurate fire information is provided for fire rescue, the fire is automatically extinguished when a microminiature fire breaks out, and fire fighting resources are not wasted.
Description
Technical Field
The invention belongs to the technical field of fire early warning, and particularly relates to a fire early warning method with a camera detection device and a smoke alarm linked.
Background
Among the various disasters, fire is one of the main disasters that threaten public safety and social development most often and most generally. People often cause fire disasters carelessly in the daily life process; spontaneous combustion of the appliance under high temperature conditions can also trigger a fire, and therefore fire prevention is a crucial issue.
The smoke alarm is used as one of fire early warning devices and is often installed by people for fire early warning, but the smoke alarm as an independent detector cannot check the situation of a site fire in real time, and smoke generated in the normal fire using process cannot provide accurate fire information for fire rescue; for some manually controllable microminiature fire, the smoke alarm can also give an alarm, thereby wasting fire-fighting resources.
Disclosure of Invention
The invention aims to provide a fire early warning method by linking a camera detection device and a smoke alarm, so as to solve the problems that the existing smoke alarm in the background technology can not provide accurate fire information for fire rescue and fire resources are wasted when a microminiature fire breaks out.
In order to achieve the purpose, the invention provides the following technical scheme:
a fire early warning method with a camera detection device and a smoke alarm linked comprises the following steps:
step 1: the smoke alarm detects that the smoke concentration reaches a first threshold value, and triggers the camera detection device to split a video of the current moment in a preset time period into a plurality of continuous images frame by frame;
step 2: sequentially carrying out target detection on the images and judging whether the smoke is in a controllable range of a person, if so, executing a step 3, otherwise, executing a step 4;
and step 3: the camera detection device triggers the smoke alarm to send out a secondary alarm;
and 4, step 4: the camera detection device sends a danger prompt to the user side, if the user side does not respond within a preset response time period, the smoke alarm is triggered to send a primary alarm, and if not, the operation is finished;
in the process of the steps 1-4, if the smoke alarm detects that the smoke concentration reaches a second threshold value, the smoke alarm sends a danger prompt to a user side and directly sends a first-level alarm.
Preferably, the step 2 comprises the steps of:
step 2.1: initializing the state of the device with i =0,
step 2.2: adding 1 to i and judging whether i is less than or equal to N, wherein N is the total number of continuous images, if yes, returning to the step 2.3, otherwise, not in the controllable range of the person;
step 2.3: preprocessing the ith image, performing target detection on the preprocessed ith image, executing the step 2.4 if a first target frame and a second target frame exist, otherwise, returning to the step 2.2;
step 2.3: judging whether the minimum distance between the first target frame and the second target frame is smaller than a preset distance or not, if so, determining that the minimum distance is within the controllable range of people, and otherwise, returning to the step 2.2;
the object of the first target frame is a smoke source point, and the object of the second target frame is a person.
Preferably, in the step 2.2, the preprocessing of the ith image comprises the following steps:
step 2.2.1: calculating the minimum gray value in the ith image, judging whether the minimum gray value is larger than a preset gray value or not, if so, executing the step 2.2.2, and if not, sharpening the ith image;
step 2.2.2: defogging the ith image by a dark channel prior defogging algorithm, and executing the step 2.2.3;
step 2.2.3: and exposing the image obtained in the step 2.2.2.
Preferably, in the step 2, if the smoke is in the controllable range of the person, the target tracking algorithm performs target tracking on the object of the second target frame at the minimum distance in any frame of image to obtain a specific target frame, performs double-line interpolation on all specific target frames to obtain a plurality of images to be recognized, determines the age of the person in the images to be recognized through a target age recognition network, determines whether the average age is greater than 18, if so, executes the step 3, and otherwise executes the step 4.
Preferably, the target tracking algorithm is a Kalman target prediction multi-feature fusion compression-based fast moving target tracking method.
Preferably, the object detection is performed by an object detection network, and the network model of the object detection network is yolov2 or DSSD.
Preferably, the generation process of the target detection network is as follows:
pre-training the network model through the voc data set to obtain a pre-training model; constructing a first image sample data set, and retraining the pre-training model through the first image sample data set to obtain a target detection network;
any first image sample in the first image sample data set is provided with a real frame about a person and a real frame about a smoke source point.
And carrying out target detection on any image subjected to target tracking by a target tracking algorithm through a target detection network, calculating a merging ratio of a second target frame and the specific target frame in the same image, and taking the second target frame with the largest merging ratio as the final specific target frame.
The system applying the fire early warning method with the linkage of the camera detection device and the smoke alarm comprises the camera detection device and the smoke alarm which are arranged in the same space, the camera detection device comprises a first control module, the first control module is respectively provided with a first wireless communication module and an infrared camera module in a matching way, the first control module carries out data interaction with a user terminal through the first wireless communication module, the smoke alarm device comprises a power supply module which is respectively connected with the smoke detection module, the alarm module, the second control module and the second wireless communication module for supplying power, the second control module carries out data interaction with a user side through the second wireless communication module, the smoke detection module and the alarm module are respectively matched with the second control module, and the first control module carries out data interaction with the second control module through the first wireless communication module.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the smoke alarm is arranged to judge the fire risk, the low-risk fire is judged whether to be in a controllable range of people or not through the camera detection device, and the alarm and/or the danger reminding are determined to be executed, so that accurate fire information is provided for fire rescue, the fire is automatically extinguished when the fire breaks out in a microminiature mode, and the fire-fighting resources are not wasted.
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FIG. 1 is a flow chart of the present invention.
FIG. 2 is a connection diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A fire early warning method with a camera detection device and a smoke alarm linked comprises the following steps:
step 1: the smoke alarm detects that the smoke concentration reaches a first threshold value, and triggers the camera detection device to split a video of the current moment in a preset time period into a plurality of continuous images frame by frame;
step 2: sequentially carrying out target detection on the images and judging whether the smoke is in a controllable range of a person, if so, executing a step 3, otherwise, executing a step 4;
and step 3: the camera detection device triggers the smoke alarm to send out a secondary alarm;
and 4, step 4: the camera detection device sends a danger prompt to the user side, and if the user side does not respond within a preset corresponding time period, the smoke alarm is triggered to send a primary alarm;
in the process of the steps 1-4, if the smoke alarm detects that the smoke concentration reaches a second threshold value, the smoke alarm sends a danger prompt to a user side and directly sends a first-level alarm.
According to the invention, real-time detection is carried out through the smoke alarm, real-time picture acquisition is carried out through the camera detection device, when the smoke alarm detects that the smoke concentration reaches a first threshold value, the smoke alarm considers that the space environment is in low danger, at the moment, the second control module in the smoke alarm can communicate with the first control module in the camera detection device through the second wireless communication module, and the first control module in the camera detection device is triggered to divide the video at the current moment in a preset time period into pictures for detection. The "video at the current time within the preset time period" here is, for example, if the current time is 13 o ' clock 07 min 20 sec, and the preset time period is 1 min, the video at the current time within the preset time period is from 13 o ' clock 07 min 20 sec to 13 o ' clock 08 min 20 sec, the preset time period may be set to 30 sec or 1 min or more, and a person skilled in the art may set the time period according to actual situations. The first control module in the camera detection device can sequentially perform target detection on images and judge whether smoke is in a controllable range of people, the necessary condition that people exist in the controllable range of people is that the people exist, when people exist and the danger degree is low, the first control module of the camera detection device can communicate with the second control module, the second control module can send out a second-level alarm for controlling the smoke alarm module to send out a second-level alarm, the second-level alarm indicates that the buzzing sound reaches the audible condition of people in the space, if the buzzing sound is not in the controllable range of people, the first control module of the camera detection device sends out a danger prompt to a user end through the first wireless communication module, the user end informs that a low-risk fire disaster occurs in a monitoring environment, and if the user end does not respond in a preset response time period, a first-level alarm is sent out to prevent a large fire disaster, the alarm sound can be heard between the upper floor and the lower floor of the community, so that more people can know the occurrence of the fire and alarm rapidly. If the fire is developed fiercely and rapidly, the smoke concentration rapidly reaches the second threshold value in the detection process of the camera detection device, the smoke alarm device directly sends danger reminding, and simultaneously sends a first-level alarm to quicken the response to the fire.
The step 2 comprises the following steps:
step 2.1: initializing i = 0;
step 2.2: adding 1 to i and judging whether i is less than or equal to N, wherein N is the total number of continuous images, if yes, returning to the step 2.3, otherwise, not in the controllable range of the person;
step 2.3: preprocessing the ith image, performing target detection on the preprocessed ith image through a target detection network, if a first target frame and a second target frame exist, executing the step 2.4, otherwise, returning to the step 2.2, wherein the object of the first target frame is a smoke source point, and the object of the second target frame is a person;
step 2.3: judging whether the minimum distance between the first target frame and the second target frame is smaller than a preset distance or not, if so, determining that the minimum distance is within the controllable range of people, and otherwise, returning to the step 2.2;
in the invention, the target detection network is arranged to carry out target detection on the ith preprocessed image, if a smoke source point and a person exist in the image, the person can sense the smoke and judge that a fire disaster occurs in an actual situation, and in order to prevent the situation that the space distance is too large, the person cannot sense the smoke and judge that the fire disaster occurs at once, a preset distance is set, wherein the preset distance can be one meter or two meters and the like.
In the invention, the network model of the target detection network is yolov2 or DSSD. The generation process of the target detection network comprises the following steps:
pre-training the network model through the voc data set to obtain a pre-training model; constructing a first image sample data set, and retraining the pre-training model through the first image sample data set to obtain a target detection network;
any first image sample in the first image sample data set is provided with a real frame about a person and a real frame about a smoke source point. The source of the smoke is the flame.
In the step 2.2, the preprocessing of the ith image comprises the following steps:
step 2.2.1: calculating the minimum gray value in the ith image, judging whether the minimum gray value is larger than a preset gray value or not, if so, executing the step 2.2.2, and if not, sharpening the ith image;
step 2.2.2: defogging the ith image by a dark channel prior defogging algorithm, and executing the step 2.2.3;
step 2.2.3: and exposing the image obtained in the step 2.2.2.
As one embodiment of the invention, the ith image is preprocessed by the preprocessing method, because smoke can slightly shield the surrounding environment, whether the smoke has influence on the image is judged by judging the relation between the minimum gray value and the preset gray value, if yes, defogging operation is carried out, wherein a 'dark channel prior defogging algorithm' is common knowledge in the field, a person skilled in the art can set by himself according to the actual situation, because the image after defogging has the problem of underexposure, exposure is carried out, the image after defogging is exposed by an exposure enhancement algorithm of the image, the code of the exposure enhancement algorithm of the image is https:// blog.csdn.net/helioxtree 7/articie/detail/60769717, and the image without defogging is sharpened, the image can be sharpened by a Laplacian operator, so that the details of the image are clearer than those of the original image.
Further, in the step 2, if the smoke is in the controllable range of the person, the target tracking algorithm performs target tracking on the object of the second target frame at the minimum distance in any backward frame image to obtain a specific target frame, performs double-line interpolation on all specific target frames to obtain a plurality of images to be recognized, determines the age of the person in the images to be recognized through a target age recognition network, and determines whether the average age is greater than 18, if so, executes the step 3, otherwise, executes the step 4.
In the invention, under the condition that the minimum distance between a person and a smoke source point is smaller than a preset distance, the person is a specific person, the specific person is subjected to backward picture tracking detection to obtain a target frame of the specific person, then, double-line interpolation is respectively carried out on all target frame diagrams of the specific person, image amplification is carried out through a double-line interpolation algorithm to form an image to be recognized, the age of the image to be recognized is determined through a target age recognition network, finally, the average age is calculated, if the age is small, the fire behavior cannot be reasonably processed, and a user side needs to be informed. The target age identification network is a result of training a deep learning network, which is common knowledge in the field and can be set by a person skilled in the art according to actual conditions.
The target tracking algorithm is a Kalman target prediction multi-feature fusion compression-based rapid moving target tracking method.
Furthermore, each image detected by the target tracking algorithm is subjected to target detection through a target detection network, the intersection ratio of the specific target frame and the second target frame is judged for the corresponding image through the IOU, and the second target frame with the largest intersection ratio is selected as the last specific target frame.
It should be noted here that, for example, when the ith image detects that the minimum distance between the first target frame and the second target frame is smaller than the preset distance, target tracking is performed on the (i + 1) th image and the nth image, target detection is performed at the same time, for the (i + 1) th image, target tracking is performed to obtain a specific target frame, target detection is performed to obtain the first target frame and the second target frame, the size of the overlapping area is calculated through iou, the larger the value of iou is, the larger the overlapping area is, so that the specific target frame is closer to a certain second target frame, and the better framing effect of the second target frame is ensured when the accuracy of the specific target is further ensured.
A fire alarm system with a camera detection device linked with a smoke alarm comprises the camera detection device and the smoke alarm which are arranged in the same space, the camera detection device comprises a first control module, the first control module is respectively provided with a first wireless communication module and an infrared camera module in a matching way, the first control module carries out data interaction with a user terminal through the first wireless communication module, the smoke alarm device comprises a power supply module which is respectively connected with the smoke detection module, the alarm module, the second control module and the second wireless communication module for supplying power, the second control module carries out data interaction with a user side through the second wireless communication module, the smoke detection module and the alarm module are respectively matched with the second control module, and the first control module carries out data interaction with the second control module through the first wireless communication module.
In the invention, the user side can acquire the video data of the infrared camera module in real time.
The first wireless communication module and the second wireless communication module are both NB-IOT communication modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A fire early warning method by linking a camera detection device and a smoke alarm is characterized in that,
the fire early warning method comprises the following steps:
step 1: the smoke alarm detects that the smoke concentration reaches a first threshold value, and triggers the camera detection device to split a video of the current moment in a preset time period into a plurality of continuous images frame by frame;
step 2: sequentially carrying out target detection on the images and judging whether the smoke is in a controllable range of a person, if so, executing a step 3, otherwise, executing a step 4;
and step 3: the camera detection device triggers the smoke alarm to send out a secondary alarm;
and 4, step 4: the camera detection device sends a danger prompt to the user side, if the user side does not respond within a preset response time period, the smoke alarm is triggered to send a primary alarm, and if not, the operation is finished;
in the process of the steps 1-4, if the smoke alarm detects that the smoke concentration reaches a second threshold value, the smoke alarm sends a danger prompt to a user side and directly sends a first-level alarm.
2. The fire early warning method of the camera detection device and the smoke alarm linked according to claim 1, wherein the step 2 comprises the following steps:
step 2.1: initializing the state of the device with i =0,
step 2.2: adding 1 to i and judging whether i is less than or equal to N, wherein N is the total number of continuous images, if yes, returning to the step 2.3, otherwise, not in the controllable range of the person;
step 2.3: preprocessing the ith image, performing target detection on the preprocessed ith image, executing the step 2.4 if a first target frame and a second target frame exist, otherwise, returning to the step 2.2;
step 2.3: judging whether the minimum distance between the first target frame and the second target frame is smaller than a preset distance or not, if so, determining that the minimum distance is within the controllable range of people, and otherwise, returning to the step 2.2;
the object of the first target frame is a smoke source point, and the object of the second target frame is a person.
3. A fire warning method with a camera detection device linked with a smoke alarm as claimed in claim 2, wherein in step 2.2, the preprocessing of the ith image comprises the following steps:
step 2.2.1: calculating the minimum gray value in the ith image, judging whether the minimum gray value is larger than a preset gray value or not, if so, executing the step 2.2.2, and if not, sharpening the ith image;
step 2.2.2: defogging the ith image by a dark channel prior defogging algorithm, and executing the step 2.2.3;
step 2.2.3: and exposing the image obtained in the step 2.2.2.
4. The fire early warning method based on linkage of the shooting detection device and the smoke alarm as claimed in claim 2, wherein in the step 2, if smoke is in a controllable range of people, the target tracking algorithm is used for carrying out target tracking on the object of the second target frame at the minimum distance in any subsequent frame image to obtain a specific target frame, double-line interpolation is respectively carried out on all specific target frames to obtain a plurality of images to be recognized, the age of people in the images to be recognized is determined through a target age recognition network, whether the average age is larger than 18 is judged, if yes, the step 3 is executed, and if not, the step 4 is executed.
5. The fire early warning method by linkage of the camera detection device and the smoke alarm as claimed in claim 4, wherein the target tracking algorithm is a fast moving target tracking method based on Kalman target prediction multi-feature fusion compression.
6. The fire early warning method based on the linkage of the camera detection device and the smoke alarm as claimed in claim 4, characterized in that any image subjected to target tracking by a target tracking algorithm is subjected to target detection through a target detection network, a cross-over ratio is calculated for a second target frame and a specific target frame in the same image, and the second target frame with the largest cross-over ratio is taken as the last specific target frame.
7. The fire early warning method of the linkage of the camera detection device and the smoke alarm as claimed in claim 2, characterized in that the object detection is performed through an object detection network, and the network model of the object detection network is yolov2 or DSSD.
8. The fire early warning method of the linkage of the camera detection device and the smoke alarm as claimed in claim 6, wherein the generation process of the target detection network is as follows:
pre-training the network model through the voc data set to obtain a pre-training model; constructing a first image sample data set, and retraining the pre-training model through the first image sample data set to obtain a target detection network;
any first image sample in the first image sample data set is provided with a real frame about a person and a real frame about a smoke source point.
9. A system for implementing the fire early warning method by using the camera detection device and the smoke alarm in linkage according to any one of claims 1 to 8, it is characterized by comprising a camera detection device and a smoke alarm which are arranged in the same space, wherein the camera detection device comprises a first control module which is respectively provided with a first wireless communication module and an infrared camera module in a matching way, the first control module carries out data interaction with a user terminal through the first wireless communication module, the smoke alarm device comprises a power supply module which is respectively connected with the smoke detection module, the alarm module, the second control module and the second wireless communication module for supplying power, the second control module carries out data interaction with a user side through the second wireless communication module, the smoke detection module and the alarm module are respectively matched with the second control module, and the first control module carries out data interaction with the second control module through the first wireless communication module.
10. The system of claim 9, wherein the first wireless communication module and the second wireless communication module are both NB-IOT communication modules.
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