CN114792459A - Remote fire monitoring management system and smoke detection method - Google Patents
Remote fire monitoring management system and smoke detection method Download PDFInfo
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- CN114792459A CN114792459A CN202110099870.9A CN202110099870A CN114792459A CN 114792459 A CN114792459 A CN 114792459A CN 202110099870 A CN202110099870 A CN 202110099870A CN 114792459 A CN114792459 A CN 114792459A
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- 239000000779 smoke Substances 0.000 title claims abstract description 74
- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 238000001514 detection method Methods 0.000 title claims abstract description 8
- 230000005484 gravity Effects 0.000 claims description 10
- 230000003068 static effect Effects 0.000 claims description 5
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims description 4
- 238000000034 method Methods 0.000 claims description 4
- 230000002265 prevention Effects 0.000 claims description 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000009792 diffusion process Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- 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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- Business, Economics & Management (AREA)
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Abstract
The invention provides a remote fire monitoring management system and a smoke detection method, which mainly judge whether a moving object exists in an image according to a first image and a second image which are continuous back and forth in a monitoring video, judge whether the moving object is smoke according to an RGB color space and an HSI color space, judge whether the moving object is smoke possibly, and judge whether the moving object is smoke or not by utilizing the characteristic that a smoke starting point is not easy to move after the moving object is smoke possibly. Therefore, the accuracy of smoke judgment can be improved, and meanwhile, when smoke is judged, relevant emergency systems such as an alarm, smoke exhausting equipment, fire fighting equipment and the like can be started to solve the fire problem as quickly as possible.
Description
Technical Field
The invention relates to the technical field of monitoring management, in particular to a remote fire monitoring management system and a smoke detection method.
Background
The accident of the transformer substation is caused by that personnel in a control room wait for unattended operation or are unattended, or a fire control room is not arranged in a regulation and control center, and an on-duty personnel adjusts an automatic alarm system to be manual, if the conditions of unattended operation and the like are reduced by using a large amount of on-duty personnel, the personnel cost is greatly increased, and the accident is a heavy burden for enterprises.
Meanwhile, smoke is often first detected during fire, and if smoke is detected early, measures should be taken in advance to minimize the spread of fire.
Disclosure of Invention
The invention solves the problem that fire disasters occur due to the problems of careless people and career or insufficient manpower.
To solve the above problems, the present invention provides a remote fire monitoring and management system and a smoke detection method, wherein the remote fire monitoring and management system comprises:
the invention firstly judges the part belonging to the object movement in the monitoring video in a static analysis mode, and because the smoke has a specific color interval and a specific brightness range, the central control unit preliminarily judges whether the part belonging to the object movement is possible to be the smoke or not according to the characteristic and a formula. And when the central control unit judges that the smoke is possible, carrying out dynamic analysis. The object itself is hard to move when the smoke is generated when the object starts to burn, therefore, the invention utilizes the characteristic, firstly calculates the gravity center of the first moving object image data according to the first moving object image data and the formula, then judges whether the formula is satisfied according to the second moving object image data and the gravity center, if so, the moving object is not separated from the starting point, and then the first moving object image data and the second moving object image data can be determined to be the smoke. Then, the central control unit will control the alarm to work to remind the related management personnel and the field personnel to pay attention to the fire extinguishing or escaping.
The invention has the advantages that whether a fire alarm occurs indoors is monitored through a remote monitoring mode, and once the smoke is judged to occur, the alarm can be started to work immediately to remind managers and field workers to pay attention. Meanwhile, the manager can watch the monitoring video transmitted by the monitoring unit through the screen, so that the conditions of fire safety and the like in different areas can be watched at the same time, or people in the room can be evacuated in the shortest time in advance, and the loss of life property and property can be reduced.
Drawings
FIG. 1 is a schematic view of the linkage of the components of the present invention;
fig. 2 is a flow chart of the present invention.
Description of the reference numerals:
1-screen; 2-a first monitoring unit; 3-a second monitoring unit; 4-an alarm; 5-an alarm; 6-automatic fire-fighting equipment; 7-smoke exhaust equipment; 8-emergency lighting units; 9-a circuit breaker; 0A-central control unit; 0B-anti-misoperation unit.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Referring to fig. 1 and 2, the present invention relates to a remote fire monitoring and management system and a smoke detection method, which is characterized by comprising:
a screen 1, a first monitoring unit 2, a second monitoring unit 3, an alarm 4, an alarm 5, an automatic fire-fighting apparatus 6, a smoke exhaust device 7, an emergency lighting unit 8, a circuit breaker 9, a central control unit 0A and an error prevention unit 0B.
The first monitoring unit 2, the automatic fire-fighting equipment 6, the smoke-exhausting equipment 7, the emergency lighting unit 8, and the circuit breaker 9 can be provided in a space, and the circuit breaker 9 is mainly provided in a power supply system in the space. When the invention is used in a factory building, the space is a space in the factory building or a compartment in the factory building.
The screen 1, the alarm 5, the central control unit 0A and the second monitoring unit 3 may be disposed in a central control room. The anti-misoperation unit 0B is arranged in the central control unit 0A. The screen 1 is available for displaying surveillance video of the first surveillance unit 2. A (c)
When fire occurs, smoke in RGB color model has the same RGB component values, while smoke in HSI color model is divided into two gray scale levels, oneThe first monitoring video is statically analyzed by utilizing the characteristic that the first monitoring video is bright gray scale and the second monitoring video is dark gray scale, and the method comprises the following steps: the first monitoring video includes a first image and a second image, the first image and the second image are consecutive images, the central control unit 0A compares the first image with the second image to obtain a first moving object image capturing data of the first image and a second moving object image capturing data of the second image, and when the first moving object image data or the second moving image data conforms to the formula: r ± α ═ G ± α ═ B ± α, and conforms to the formula: l is 1 ≤I≤L 2 、 D 1 ≤I≤D 2 When one of the two is selected, the image data of the moving object is judged to be probably smoke image data; r, G, B represents that the moving object image data belongs to a red value R, a green value G and a blue value B in an RGB color model; alpha is an error value and is more than or equal to 15 and less than or equal to 20; i is a numerical value of the brightness of the moving object image data in the HSI color model; l is 1 、L 2 The brightness range value of the dark gray scale; d 1 、D 2 The brightness range value of the bright gray scale. Therefore, the monitoring video can be preliminarily judged whether smoke exists in the video after static analysis. It is worth mentioning that, when the formula: l is a radical of an alcohol 1 ≤I≤L 2 When the smoke is brighter, the smoke is expressed as follows: d 1 ≤I≤D 2 When it is detected, the smoke is dark.
After the static analysis is completed, the central control unit 0A performs dynamic analysis, and the principle thereof is to use: when the object starts to burn and generates smoke, the object itself is hard to move, and the starting point of the smoke has a characteristic that the starting point is not easy to change, so the central control unit 0A firstly sequentially uses the first moving object image data according to the formula: m pq ＝∑∑f(x,y)x p y q 、 
Calculating the gravity center of the first moving object image data
And then judging whether a formula is satisfied according to the second moving object image data and the gravity center:
when satisfied, it can be roughly determined that the first moving object image data and the second moving object image data are smoke, whereas the first moving object image data and the second moving object image data are not smoke.
Although it is determined whether the monitoring video detects smoke, in order to ensure that the overall detection of the present invention has a more accurate determination effect, the overall determination accuracy needs to be improved according to the diffusion characteristic of smoke after the smoke determination. Therefore, when the central control unit 0A determines that the first moving object image data and the second moving object image data are smoke, the total perimeter SET of the second moving object image data and the number of smoke pixels STP are further determined. Then, the central control unit 0A determines whether the total circumference and the number of smoke pixels satisfy the following formula: SEP/STP is more than or equal to STD. If the first moving object image data and the second moving object image data are not satisfied, judging that the first moving object image data and the second moving object image data are not smoke, and if the first moving object image data and the second moving object image data are satisfied, further judging the increasing rate of the number of smoke pictures according to the first moving object image data and the second moving object image data
And then judging whether the increase rate meets a formula:
if the first moving object image data and the second moving object image data are not satisfied, judging that the first moving object image data and the second moving object image data are not smoke, otherwise, judging that the first moving object image data and the second moving object image data are smoke; wherein D g For a threshold value of the rate of increase, N d Is a critical value for the number of inspections.
Therefore, through the above series of determination steps, it can be accurately determined whether there is a fire alarm in the factory, and once the fire alarm occurs, the central control unit 0A immediately starts the alarm 5, the automatic fire fighting equipment 6, the smoke exhaust equipment 7, the emergency lighting unit 8, and the circuit breaker 9, so as to greatly reduce the temporary loss of people and property due to the fire, and meanwhile, the circuit breaker 9 cuts off the power supply system in the space to avoid the expansion of the disaster. In addition, the manager or the worker can manually control the automatic fire fighting equipment 6, the smoke exhaust device 7, the emergency lighting unit 8, and the circuit breaker 9 to operate while the alarm 5 operates. In order to avoid the manager or the worker from touching or operating the central control unit 0A maliciously, the manager must complete the setting of the error prevention unit 0B to operate the central control unit 0A, and then manually control the automatic fire-fighting equipment 6, the smoke exhaust equipment 7, the emergency lighting unit 8 and the circuit breaker 9 to operate. In order to avoid the situation that the manager or the worker does not know how to operate, the screen 1 may present the operation steps and the flow of the automatic fire fighting equipment 6, the smoke exhaust facility 7, the emergency lighting unit 8, and the circuit breaker 9. In addition, when the alarm 5 is in operation, the manager can also control the operation of the first monitoring unit 2 through the central control unit 0A, so that the screen 1 presents a state in space, and the eyes can further confirm the smoke condition and grasp the field condition.
In order to avoid the idling of the manager or the staff in the central control room, the central control unit 0A analyzes the monitoring result of the second monitoring unit 3, when the monitoring result shows that the manager does not act for a period of time or the manager does not stay in the central control room for a period of time, the manager or the staff is idle, and at this time, the central control unit 0A controls the alarm 4 to work to remind higher-order leadership, and the judgment result is made into a monitoring record to be used as a basis for performance assessment in the future.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present disclosure, and such changes and modifications will fall within the scope of the present invention.
Claims (7)
1. A remote fire monitoring management system, comprising:
a screen, a first monitoring unit, a central control unit and an alarm;
the screen, the alarm and the central control unit can be arranged in a central control room;
the first monitoring unit can be arranged in a space, the first monitoring unit can be used for shooting the internal condition of the space to obtain a first monitoring video and transmitting the first monitoring video to the central control unit, and the central control unit presents the first monitoring video through the screen;
the central control unit is configured to perform static analysis on the first surveillance video, compare the first image with the second image to obtain first moving object image capturing data of the first image and second moving object image capturing data of the second image, and when the first moving object image data or the second moving image data conforms to a formula: r ± α ═ G ± α ═ B ± α, and conforms to the formula: l is a radical of an alcohol 1 ≤I≤L 2 、D 1 ≤I≤D 2 When one of the two is selected, the image data of the moving object is judged to be possible smoke image data; r, G, B represents the moving object image data belonging to red R, green G, and blue B values in RGB color model; alpha is an error value and is more than or equal to 15 and less than or equal to 20; i is a numerical value of the brightness of the moving object image data in the HSI color model; l is a radical of an alcohol 1 、L 2 The brightness range value of the dark gray scale in the HSI color model is obtained; d 1 、D 2 The brightness range value of the bright gray scale in the HSI color model;
the central control unit dynamically analyzes the first moving object image data and the second moving object image data, and the first moving object image data is firstly sequentially according to a formula: m pq ＝∑∑f(x,y)x p y q 、
Calculating the gravity center of the first moving object image data
And then judging whether a formula is satisfied according to the second moving object image data and the gravity center:
and if the first moving object image data and the second moving object image data are smoke, judging that the first moving object image data and the second moving object image data are smoke, and controlling the alarm to work, otherwise, judging that the first moving object image data and the second moving object image data are not smoke.
2. The remote fire monitoring and managing system according to claim 1, wherein when the second moving object image data and the center of gravity satisfy the following formula:
then, the central control unit judges whether the second moving object image data meets the chaos rule formula: the SEP/STP is more than or equal to the STD, if the SEP/STP is not less than the STD, the first moving object image data and the second moving object image data are judged not to be smoke, otherwise, the increasing rate of the smoke picture number is judged according to the first moving object image data and the second moving object image data
And then judging whether the increasing rate meets a formula:
if the first moving object image data and the second moving object image data do not meet the preset requirements, judging that the first moving object image data and the second moving object image data are not smoke, otherwise, judging that the first moving object image data and the second moving object image data are smoke; wherein: SEP is the total perimeter of the second moving object image data, STP is the number of smoke pixels of the second moving object image data, STD is the random threshold of smoke, D g For a threshold value of the rate of increase, N d Is a critical value of the number of checks.
3. The remote fire monitoring and managing system of claim 2, wherein a second monitoring unit and an alarm are further installed in the central control room, and the central control unit is capable of determining, according to the monitoring result of the second monitoring unit, whether the manager in the central control room is not in action for a period of time or whether the manager in the central control room is not waiting for a period of time, controlling the alarm to operate and making the determination result into a monitoring record.
4. A remote fire monitoring and management system according to claim 3, wherein an automatic fire fighting equipment, a smoke exhaust device, an emergency lighting unit, and a circuit breaker are provided in the space, and the circuit breaker is provided in the power supply system in the space; and when the central control unit judges smoke, the automatic fire-fighting equipment, the smoke exhausting equipment, the emergency lighting unit and the circuit breaker are controlled to work.
5. The remote fire monitoring and managing system according to claim 4, wherein the central control unit is provided with an error prevention unit, and the central control unit can be operated only after the manager completes the setting operation of the error prevention unit; the screen may be provided for presenting the anti-misoperation unit, the automatic fire apparatus, the smoke evacuation device, the emergency lighting unit, and the method of operation of the circuit breaker.
6. A method of smoke detection, comprising:
(A) taking a monitoring video, wherein the monitoring video comprises a first image and a second image, performing static analysis on the first monitoring video, comparing the first image with the second image to obtain first moving object image capture data of the first image and second moving object image capture data of the second image, and when the first moving object image data or the second moving image data conforms to a formula: r ± α ═ G ± α ═ B ± α, and conforms to the formula: l is a radical of an alcohol 1 ≤I≤L 2 、D 1 ≤I≤D 2 When one of the two is selected, the image data of the moving object is judged to be probably smoke image data; r, G, B represents the moving object image data belonging to red R, green G, and blue B values in RGB color model; alpha is an error value and is more than or equal to 15 and less than or equal to 20; i is a numerical value of the brightness of the moving object image data in the HSI color model; l is 1 、L 2 The brightness range value of the dark gray scale in the HSI color model is obtained; d 1 、D 2 The brightness range value of the bright gray scale in the HSI color model;
(B) and dynamically analyzing the first moving object image data and the second moving object image data, wherein the first moving object image data is firstly and sequentially according to a formula: m pq ＝∑∑f(x,y)x p y q 、
Calculating the gravity center of the first moving object image data
And then judging whether a formula is satisfied according to the second moving object image data and the gravity center:
if yes, the first moving object image data and the second moving object image data are judgedAnd if the moving object image data is smoke, otherwise, the first moving object image data and the second moving object image data are not smoke.
7. The method according to claim 6, further comprising the step (C): when the second moving object image data and the center of gravity satisfy the formula:
then, whether the second moving object image data meets the chaos rule formula is judged: the SEP/STP is larger than or equal to the STD, if the SEP/STP is not smaller than the STD, the first moving object image data and the second moving object image data are judged not to be smoke, otherwise, the step (D) is executed;
(D) judging the increasing rate of the smoke picture number according to the first moving object image data and the second moving object image data
And then judging whether the increasing rate meets a formula:
if the first moving object image data and the second moving object image data do not meet the preset requirements, judging that the first moving object image data and the second moving object image data are not smoke, otherwise, judging that the first moving object image data and the second moving object image data are smoke; wherein: SEP is the total perimeter of the second moving object image data, STP is the number of smoke pixels of the second moving object image data, STD is the random threshold of smoke, D g For a threshold value of the rate of increase, N d Is a critical value for the number of checks.
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- 2021-01-25 CN CN202110099870.9A patent/CN114792459A/en active Pending
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| TW200617814A (en) * | 2004-11-16 | 2006-06-01 | Univ Nat Kaohsiung Applied Sci | Method applying image capturing technique to detect cause of fire and system thereof |
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