CN113313907B - Emergency protection system based on cloud server - Google Patents
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- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
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Abstract
The invention discloses an emergency protection system based on a cloud server. The image pickup unit shoots urban underground pipe gallery images to obtain pipe gallery images, the flame moving characteristics of the flame detection unit of the local server for detecting the brightness images determine flame images, and the pixel point extraction unit receives the flame images, extracts effective flame pixel point sequences of the flame images and stores flame coordinate sets. And the image comparison unit of the cloud server determines at least one pipeline in the flame according to the pipe network coordinate set crossed with the flame coordinate set. Through flame detection and the extraction of flame pixel to city underground pipe gallery image, confirm the position of flame pixel and judge the pipe network that breaks out a fire, realized at city underground pipe gallery to flame quick identification and emergency response, the powerful control condition of a fire reduces loss and injury.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to an emergency protection system based on a cloud server.
Background
With the rapid promotion of urbanization, the demand of people on pipelines is higher and higher, urban underground pipelines are generated at the same time, and nowadays, underground pipelines are an important part of urban planning and construction, so that the urban planning and development direction is changed from 'heavy ground, light underground' to 'heavy ground, underground and heavy ground'. The rapid development of urban underground pipelines facilitates the construction of underground comprehensive pipe galleries, the underground comprehensive pipe galleries are urban underground pipeline comprehensive corridors, a tunnel space is built in the urban underground, various engineering pipelines such as electric power, communication, gas, heat supply, water supply and drainage and the like are integrated, and the underground comprehensive pipe galleries are important basic facilities and 'life lines' for guaranteeing urban operation. Because there are equipment such as a lot of cables and wires in the underground pipe gallery, it is very easy to catch fire under the state of generating heat, short circuit, can influence the normal operating of whole city underground pipeline, brings great influence to people's life. Based on this, there is a need to develop a cloud server-based emergency protection system using a cloud server capable of rapidly storing responses.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an emergency protection system based on a cloud server, which determines the position of a flame pixel and judges a pipe network with a fire disaster through flame detection, flame pixel point extraction and pixel coordinate intersection of an image of an urban underground pipe gallery, so that the rapid response to the fire disaster emergency in the urban underground pipe gallery is realized.
The technical scheme of the invention is realized as follows: emergent protection system based on cloud ware, its characterized in that includes: a plurality of camera units, a plurality of early warning units, a local server and a cloud server, wherein,
the system comprises a camera unit, a plurality of monitoring areas, a plurality of monitoring units and a plurality of monitoring units, wherein the camera unit is installed in an urban underground pipe gallery, each monitoring area at least comprises a power pipeline, a communication pipeline, a gas pipeline and a heat supply pipeline, and the camera unit is used for shooting a pipe gallery image of the monitoring area and determining shooting time T;
the early warning unit is installed in a supervision area, if the fire data are monitored, the early warning unit instructs the camera shooting unit to send the image of the pipe gallery to the local server, and if the fire data are not monitored, the camera shooting unit sends the image of the pipe gallery to the cloud server;
the cloud server comprises an image processing unit and a remote database, wherein the image processing unit extracts a pipe network coordinate set O from four sub-areas of the pipe gallery image1、O2、O3、O4Wherein O is1Is the pixel coordinate region, O, of the power conduit2Is a pixel coordinate region, O, of the communication pipe3Is the pixel coordinate area, O, of the gas pipeline4For a pixel coordinate area of a heat supply pipeline, a remote database stores four pipe network coordinate sets of any monitoring area and establishes a mapping relation between the pipe network coordinate sets and corresponding monitoring area numbers;
the local server comprises an HIS conversion unit, a flame detection unit and a pixel point extraction unit, wherein the HIS conversion unit converts the pipe gallery image into a brightness image, the flame detection unit detects the flame movement characteristics of the brightness image to determine a flame image, and the pixel point extraction unit receives the flame image and extracts an effective flame pixel point sequence R of the flame imageqAnd storing the sequence of effective flame pixel points RqGenerating a flame coordinate set P by using the effective flame pixel point coordinatesqAnd q is the number of effective flame pixel points,
the cloud server further comprises an image comparison unit, the image comparison unit determines at least one pipeline in the flame according to a pipe network coordinate set crossed with the flame coordinate set, and if O is detected, the image comparison unit determines that the pipeline is positioned in the flame1∩PqIs not equal in the section, sends alarm signal to the electric power department, if O2∩PqIn the course of not sending alarm signal to communication department, if O3∩PqIs not in the middle, sends alarm signal to the gas department, if O4∩PqAnd c, sending an alarm signal to a heat supply department.
In the invention, the camera shooting unit is connected to the cloud server through the internet, and the camera shooting unit is connected to the local server through the local cable.
In the present invention, the four sub-regions of the tube lane image are: AL, BL, AR and BR, subregion AL is 10 electric power pipeline, and subregion BL is 10 communication pipeline, and subregion AR is 10 gas pipeline, and subregion BR is 10 heat supply pipeline.
In the invention, the tube corridor image is an RGB image, and the HIS conversion unit converts the RGB color value of each pixel point in the tube corridor image into a brightness value to obtain a brightness image.
In the invention, the flame detection unit detects the flame movement characteristics of the brightness images to determine the flame images, and firstly determines the brightness images of two adjacent frames
Brightness center coordinates of
、
Then calculating the flame parameters
The brightness image with σ > 0 is the flame image, where M × N is the size of the flame brightness image, and the brightness image
Center coordinate of middle brightness
The expression of (a) is:
,
，
the coordinates of the pixel points of the brightness image are obtained.
In the invention, a pixel point extraction unit adopts a median average filtering algorithm to extract flame pixel points, a flame pixel area containing flame in a flame image has k pixel points, and the red component values R of the k pixel points are not= { R =1,R2,…, RkSequencing red component values from large to small to obtain a flame pixel point sequence Rrank=Rank({R1,R2,…, Rk}), Rank () is a sorting function, and a flame pixel point sequence R is omittedrankMaximum value R of mid-red componentmaxWith a minimum value RminObtaining a standard flame pixel point sequence Rrank2To obtain the red component value R of the remaining k-2 pixelsiAverage value of (2)
Setting a threshold value TkFiltering out standard flame pixel point sequence Rrank2Higher than μ + TkAnd less than μ -TkExtracting a sequence R of effective flame pixel points from the red component value ofqAnd stores a sequence of effective flame pixel points RqGenerating a flame coordinate set P by using the effective flame pixel point coordinatesq。
The emergency protection system based on the cloud server has the following beneficial effects: in this kind of emergency protection system based on cloud ware, camera unit shoots piping lane image, and flame detection portion detects the image, and the pixel draws the unit and draws effective flame pixel point sequence RqAnd generating a set of flame coordinates PqThe image comparison unit determines at least one pipeline in the flame according to a pipe network coordinate set crossed with the flame coordinate set, and the at least one pipeline in the flame is determined through mutual response of the cloud server and the local serverDecide the flame position and send alarm signal to corresponding department, realized the system at city underground pipe gallery to flame quick identification and emergency response, the powerful control condition of a fire reduces loss and injury.
Drawings
Fig. 1 is a schematic structural diagram of an emergency protection system based on a cloud server according to the present invention;
fig. 2 is a flow chart of the local server function of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
As shown in fig. 1, the emergency protection system based on the cloud server of the present invention includes: the system comprises a plurality of camera units, a plurality of early warning units, a local server and a cloud server, wherein the local server comprises an HIS conversion unit, a flame detection unit and a pixel point extraction unit, and the cloud server comprises an image processing unit, a remote database and an image comparison unit.
The unit of making a video recording is installed in city underground pipe gallery, and the unit of making a video recording is connected to cloud ware through internet, is connected to local server through local cable. City underground pipe gallery has a plurality of prison districts, and a camera unit shoots the pipe gallery image in a prison district and confirms to shoot time T, and each prison district has power pipeline, communication pipeline, gas pipeline, heat supply pipeline. The pipeline in every area of supervision discharges neatly in the city underground pipe gallery, and 40 pipelines are put altogether in an area of supervision, and the unit of making a video recording shoots the piping lane image in the area of supervision at fixed position for the piping lane image comprises four subregions, and the subregion AL in the left side of the first half of image is 10 electric power pipelines, and the subregion BL is 10 communication pipelines under the left side, and the regional AR of upper portion molecule on the right is 10 gas pipelines, and the subregion BR is 10 heat supply pipelines under the right. At this point, the pipeline category may be determined by pixel area coordinate planning in the tube lane image.
The early warning unit is installed in the supervision district, and the early warning unit carries out the preliminary monitoring to piping lane image. In the image pre-monitoring process, if the pipe gallery image is detected to have fire data, the early warning unit instructs the camera shooting unit to send the pipe gallery image with the fire data to the local server. And transmitting the pipe gallery image without the detected fire data to the cloud server. The cloud server and the local server have respective advantages, the cloud server is a simple, efficient, safe and reliable computing service with elastically stretchable processing capacity and is a server cluster, and the local server can automatically distribute various network function services to realize quick response. In the invention, the number of the pre-monitored pipe gallery images with fire data in the pre-monitoring process is small, the pipe gallery images with fire data need to be processed in the subsequent process, and in order to improve the processing rate, a local server which can automatically distribute multiple functional services and can quickly respond is selected. For the pipe gallery images which are large in number and have no monitored fire data, the cloud server with the elastically telescopic processing capacity is selected, and the configuration mode can avoid the server breakdown and improve the running speed.
The cloud server comprises an image processing unit and a remote database. The image processing unit extracts a pipe network coordinate set O from four sub-regions AL, BL, AR and BR of the pipe gallery image1、O2、O3、O4， O1Is the pixel coordinate region, O, of the power conduit2Is a pixel coordinate region, O, of the communication pipe3Is the pixel coordinate area, O, of the gas pipeline4Is the pixel coordinate area of the heat supply pipeline. The remote database stores four pipe network coordinate sets of any monitoring area and establishes a mapping relation between the pipe network coordinate sets and corresponding monitoring area numbers.
The local server comprises an HIS conversion unit, a flame detection unit and a pixel point extraction unit. As shown in FIG. 2, the HIS conversion unit converts the pipe gallery image into a brightness image, the flame detection unit receives the brightness image to determine a flame image, and the pixel point extraction unit extracts pixel points of the flame image to obtain an effective flame pixel point sequence and generate a flame coordinate set. The method specifically comprises the following steps: the HIS conversion unit converts the color value of each pixel point in the tube lane image into a brightness value to obtain a brightness image, the tube lane image is an RGB image, R, G and B are respectively a red color value, a green color value and a blue color value of a pixel point color three-channel,the luminance value conversion expression is:
and obtaining a brightness image after the color value of each pixel point in the pipe gallery image is completely converted
. The flame detection unit detects the flame movement characteristics of the brightness image to determine the flame image, and in order to more accurately determine the flame area in the brightness image, the flame movement characteristics need to be extracted. The flame detection unit detects flame movement characteristics of the brightness image to determine a flame image. When the flame burns, the moving speed of the center of the flame inevitably occurs, the brightness distribution of the flame is that the brightness value of the center part is higher, the brightness value of the outside is lower, therefore, the center of the flame can be calculated through weighting and averaging, and the center of the flame is the pixel point with the highest brightness value. Flame center coordinates in luminance image
The luminance image is obtained by weighted average, and the expression is as follows:
,
. Calculating the moving speed of the flame center requires two adjacent brightness images
Luminance images representing two adjacent frames i.e. photographing times T and T +1,
the coordinate of a certain point of the brightness image is expressed, the size of the brightness image is MxN, and the centers of adjacent flames are expressed as
，
Determining flame parameters according to the moving speed of the flame center, wherein the flame parameter expression is as follows:
generally, 0 < sigma < 1, and a flame parameter sigma greater than 0 indicates that the flame center is moved, and it is determined that the luminance image contains flames, and the luminance image is the flame image. The pixel extraction unit adopts a median average filtering algorithm to extract flame pixels, and adopts the median average filtering algorithm to well filter interference pixels and extract the flame pixels, and the median average filtering algorithm can also eliminate accidental pulse interference, avoid the deviation of sampling values, has a good inhibiting effect on periodic interference, is suitable for all-weather images periodically shot by a camera, has high smoothness and avoids filtering required pixels. The specific process of filtering the interference pixel points and extracting the flame pixel points by the median average filtering algorithm comprises the steps of obtaining k pixel points in a flame pixel area containing flame in the brightness image, and calculating the red component value R = { R } of the k pixel points1,R2,…, RkSorting the red component values of the k pixel points from small to large to obtain k flame pixel point sequences Rrank=Rank({R1,R2,…, Rk}), Rank () is a sorting function. Truncation of flame pixel point sequence RrankMaximum value of mid-red component
And minimum value
Obtaining a standard flame pixel point sequence Rrank2. Red component value R of the rest k-2 flame pixel pointsiCalculating the average value to obtain the average value of the red components
By the upper and lower floating threshold of the mean
Then, filtering to obtain a filtrate higher than
And is lower than
Extracting a sequence R of effective flame pixel points from the red component value ofq. Mean value of
Sequence of effective flame pixel points RqI.e. filtering out the standard flame pixel point sequence Rrank2Higher than
And is lower than
The q pixel points are effective flame pixel points in the flame pixel area at the moment. After the effective flame pixel point sequence is extracted, the effective flame pixel point coordinates are stored to generate a flame coordinate set Pq。
And the image comparison unit of the cloud server determines at least one pipeline in the flame according to the pipe network coordinate set crossed with the flame coordinate set. If the coordinate parts of a certain pipe network coordinate set and the flame coordinate set are overlapped, the fact that the flame occurs in the pipeline of a certain sub-area of a certain monitoring area can be determined according to the mapping relation between the pipe network coordinate set and the corresponding monitoring area number. If O is1∩PqIf the center is not equal to the center, the coordinate of the flame pixel point is consistent with the coordinate in the pixel coordinate area of the power pipeline, an alarm signal is sent to a power department, and if the center is O, the alarm signal is sent to the power department2∩PqIf not, indicating that the coordinates of the flame pixel points are consistent with the coordinates in the pixel coordinate area of the communication pipeline, sending an alarm signal to a communication department, and if O is detected3∩PqIf not, indicating that the coordinates of the flame pixel points are consistent with the coordinates in the pixel coordinate area of the gas pipeline, sending an alarm signal to a gas department,if O is4∩PqAnd if the direction is not equal to the positive direction, the coordinate of the flame pixel point is consistent with the coordinate in the pixel coordinate area of the heat supply pipeline, and an alarm signal is sent to a heat supply department.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. An emergency protection system based on a cloud server is characterized by comprising a plurality of camera units, a plurality of early warning units, a local server and the cloud server, wherein,
the system comprises a camera unit, a plurality of monitoring areas, a plurality of monitoring units and a plurality of monitoring units, wherein the camera unit is installed in an urban underground pipe gallery, each monitoring area at least comprises a power pipeline, a communication pipeline, a gas pipeline and a heat supply pipeline, and the camera unit is used for shooting a pipe gallery image of the monitoring area and determining shooting time T;
the early warning unit is installed in a supervision area, if the fire data are monitored, the early warning unit instructs the camera shooting unit to send the image of the pipe gallery to the local server, and if the fire data are not monitored, the camera shooting unit sends the image of the pipe gallery to the cloud server;
the cloud server comprises an image processing unit and a remote database, wherein the image processing unit extracts a pipe network coordinate set O from four sub-areas of the pipe gallery image1、O2、O3、O4Wherein O is1Is the pixel coordinate region, O, of the power conduit2Is a pixel coordinate region, O, of the communication pipe3Is the pixel coordinate area, O, of the gas pipeline4For a pixel coordinate area of a heat supply pipeline, a remote database stores four pipe network coordinate sets of any monitoring area and establishes a mapping relation between the pipe network coordinate sets and corresponding monitoring area numbers;
the local server comprises an HIS conversion unit, a flame detection unit and a pixel point extraction unit, wherein the HIS conversion unit converts the pipe gallery image into a brightness image, the flame detection unit detects the flame movement characteristics of the brightness image to determine the flame image, and the pixel point extraction unit receives the flame image and extracts the flame imageEffective flame pixel point sequence R of flame imageqAnd storing the sequence of effective flame pixel points RqGenerating a flame coordinate set P by using the effective flame pixel point coordinatesqAnd q is the number of effective flame pixel points,
the cloud server further comprises an image comparison unit, the image comparison unit determines at least one pipeline in the flame according to a pipe network coordinate set crossed with the flame coordinate set, and if O is detected, the image comparison unit determines that the pipeline is positioned in the flame1∩PqIs not equal in the section, sends alarm signal to the electric power department, if O2∩PqIn the course of not sending alarm signal to communication department, if O3∩PqIs not in the middle, sends alarm signal to the gas department, if O4∩PqIs not equal to the inside, sends an alarm signal to a heat supply department,
the flame detection unit detects the flame movement characteristics of the brightness images to determine the flame images, and determines the brightness images of two adjacent frames
Brightness center coordinates of
、
Then calculating the flame parameters
The brightness image with σ > 0 is the flame image, where M × N is the size of the flame brightness image, and the brightness image
Center coordinate of middle brightness
The expression of (a) is:
,
，
the coordinates of the pixel points of the brightness image are obtained.
2. The cloud-server-based emergency protection system of claim 1, wherein the camera unit is connected to the cloud server via an internet, and the camera unit is connected to the local server via a local cable.
3. The cloud server-based emergency protection system of claim 1, wherein the four sub-regions of the pipe gallery image are: AL, BL, AR and BR, subregion AL is 10 electric power pipeline, and subregion BL is 10 communication pipeline, and subregion AR is 10 gas pipeline, and subregion BR is 10 heat supply pipeline.
4. The cloud server-based emergency protection system of claim 1, wherein the pipe gallery image is an RGB image, and the HIS conversion unit converts an RGB color value of each pixel point in the pipe gallery image into a luminance value to obtain a luminance image.
5. The cloud-server-based emergency protection system of claim 1, wherein the pixel extraction unit extracts flame pixels by using a median average filtering algorithm, the flame pixel area containing flames in the flame image has k pixels, and red component values R = { R } of the k pixels1,R2,…, RkSequencing red component values from large to small to obtain a flame pixel point sequence Rrank=Rank({R1,R2,…, Rk}), Rank () is a sorting function, and a flame pixel point sequence R is omittedrankMaximum value R of mid-red componentmaxWith a minimum value RminObtaining a standard flame pixel point sequence Rrank2To find the remaining k-2Red component value R of pixel pointiMean value of
Setting a threshold value TkFiltering out standard flame pixel point sequence Rrank2Higher than μ + TkAnd less than μ -TkExtracting a sequence R of effective flame pixel points from the red component value ofqAnd stores a sequence of effective flame pixel points RqGenerating a flame coordinate set P by using the effective flame pixel point coordinatesq。
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