CN113674498A - Fire monitoring system based on computer control - Google Patents
Fire monitoring system based on computer control Download PDFInfo
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- CN113674498A CN113674498A CN202110967621.7A CN202110967621A CN113674498A CN 113674498 A CN113674498 A CN 113674498A CN 202110967621 A CN202110967621 A CN 202110967621A CN 113674498 A CN113674498 A CN 113674498A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 45
- 239000000779 smoke Substances 0.000 claims abstract description 22
- 238000013500 data storage Methods 0.000 claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 230000005540 biological transmission Effects 0.000 claims abstract description 5
- 238000007689 inspection Methods 0.000 claims abstract description 4
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- 238000013135 deep learning Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 3
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- 238000007726 management method Methods 0.000 claims description 3
- 238000013058 risk prediction model Methods 0.000 claims description 3
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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
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F16/1734—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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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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- 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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Abstract
The invention discloses a fire monitoring system based on computer control, which comprises a data acquisition module, a data transmission module, a data processing module, an alarm module, a power supply module and a remote terminal, wherein the data acquisition module comprises a data storage unit, a smoke detector, a temperature sensor and an image acquisition unit; the fire disaster detection system has the advantages of timely finding fire disasters, automatic routing inspection and automatic alarming, and high reliability.
Description
Technical Field
The invention relates to the technical field of fire monitoring, in particular to a fire monitoring system based on computer control.
Background
With the improvement of the living standard of residents, a large amount of electric equipment is increased, the electricity consumption of civil buildings is increased year by year, and the electric fire caused by electric circuits directly or indirectly is increased, so that how to prevent the fire from damaging social wealth and the safety of lives and properties of people is a large subject facing the current society.
The timely discovery and elimination of the fire hazard are important contents for fire research, and the research of fire detection aims to accurately discover the fire hazard as early as possible and give an alarm in time so as to take corresponding measures to control the occurrence and development of the fire. The present fire automatic alarm system in China is mainly applied to large warehouses, shopping malls, high-grade office buildings, hotels and some important places, the existing fire automatic alarm system adopts a bus type alarm control system with higher intelligent degree and a centralized acquisition and area alarm control mode, the existing fire automatic alarm system is a single fire automatic alarm detection device which is arranged in some residential areas and commercial buildings, the single sensor is adopted in the alarm detection device, the reliability of the single sensor is not high, and false alarm and missed alarm are easy to occur. Therefore, there is room for improvement.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a fire monitoring system based on computer control, which can find fire in time, automatically inspect and alarm and has higher reliability.
The technical scheme adopted by the invention for solving the technical problems is as follows: a fire monitoring system based on computer control comprises a data acquisition module, a data transmission module, a data processing module, an alarm module, a power supply module and a remote terminal, the data acquisition module comprises a data storage unit, a smoke detector, a temperature sensor and an image acquisition unit, the smoke detector, the temperature sensor and the image acquisition unit are distributed in the detection point area, and is electrically connected with the data storage unit which is electrically connected with the data processing module, and is used for sending data acquisition information to the data processing module, the data processing module is used for processing the data acquisition information, the remote terminal is connected with the data processing module through the communication module.
The data storage unit comprises an RAM storage module and an ROM storage module, the RAM storage module is used for storing the operation logs of the smoke detector and the temperature sensor, and the ROM storage module is used for storing an operation program body used for controlling the operation track of the image acquisition unit. In the structure, the setting of the ROM storage module and the RAM storage module can lead the storage of the system to be classified, and the disorder of the stored information can not be caused.
When the temperature sensor detects that the temperature is higher than or equal to a temperature alarm threshold value or the smoke detector detects that smoke is generated, the data storage unit generates an early warning signal and sends the early warning signal to the data processing module, and the data processing module controls the image acquisition unit to carry out inspection so as to obtain a field real-time image. In this structure, the image acquisition unit is high definition digtal camera, and it can patrol and examine at certain extent according to data processing module's instruction, forms a closed-loop control like this, uses more automatic and nimble.
The data processing module adopts a deep learning algorithm to process the real-time image, judges whether a fire disaster occurs or exists in a region corresponding to the real-time image, alarms through the alarm module if the fire disaster occurs or exists in advance, continues to process the real-time image, and sends the real-time situation of the fire disaster to the remote terminal through the communication module after acquiring the real-time situation of the fire disaster; and if the fire disaster is not expected or no fire disaster exists, controlling the image acquisition unit to continuously inspect the detection point area.
The process of processing the real-time image by the deep learning algorithm is as follows:
s1: the data storage unit stores pictures of the confirmed fire and continuously shot videos and sends the pictures of the fire to the log file generation module;
s2: the log file generation module receives and stores the received pictures, and uploads a log folder to the data processing module every day, and the data processing module stores the information into the platform learning module after receiving the log folder;
s3: the platform learning module learns the received pictures, and the learned results are sent to the image recognition analysis module after learning, so that the next judgment is more rapid and accurate, an intelligent fire risk prediction model is generated by learning historical data, and the fire risk condition in the detection point area is predicted by combining the data of the existing smoke detector and the data of the temperature sensor.
The remote terminal comprises a computer, a display screen and a control keyboard, wherein the computer is connected with a vehicle management system, a fire extinguishing system, a surrounding precaution system and an intercom system through a network.
The communication module is a wifi module or a Bluetooth module or a wired serial port module.
Compared with the prior art, the invention has the advantages that: the data acquisition module comprises a data storage unit, a smoke detector, a temperature sensor and an image acquisition unit, wherein the smoke detector is used for detecting smoke concentration information of a detection point area, the temperature sensor is used for detecting temperature information of the detection point area, the image acquisition unit is used for acquiring image information of the detection point area, the detected acquisition information is respectively sent to the data storage unit for storage, the data storage unit is sent to the data processing module for processing, and once a processing result exceeds a threshold value, the alarm module is controlled to give an alarm; the remote terminal is used for communicating with the data processing module, realizes a fire detection technology integrating a sensor, a machine and image processing, has the characteristics of non-contact detection, is not limited by environmental conditions such as space height, air velocity, thermal barrier, dust, humidity and the like, and can perform early warning at the initial stage of fire occurrence so as to remind related personnel to fight the fire.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following drawings and examples, but the present invention is not limited thereto.
Example (b): as shown in the figure, the fire monitoring system based on computer control comprises a data acquisition module 1, a data transmission module 2, a data processing module 3, an alarm module 4, a power supply module 5 and a remote terminal 6, wherein the data acquisition module 1 comprises a data storage unit 11, a smoke detector 12, a temperature sensor 13 and an image acquisition unit 14, the smoke detector 12, the temperature sensor 13 and the image acquisition unit 14 are distributed in a detection point area and are electrically connected with the data storage unit 11, the data storage unit 11 is electrically connected with the data processing module 3 and is used for sending data acquisition information to the data processing module 3, the data processing module 3 is used for processing the data acquisition information and is electrically connected with the alarm module 4, the power supply module 5 provides power for the data acquisition module 1, the data transmission module 2, the data processing module 3 and the alarm module 4, the remote terminal 6 is connected with the data processing module 3 through a communication module 7.
The data storage unit 11 includes a RAM storage module and a ROM storage module, the RAM storage module is used for storing the operation logs of the smoke detector 12 and the temperature sensor 13, and the ROM storage module is used for storing the operation program body for controlling the operation track of the image acquisition unit 14. In the structure, the setting of the ROM storage module and the RAM storage module can lead the storage of the system to be classified, and the disorder of the stored information can not be caused.
When the temperature sensor 13 detects that the temperature is higher than or equal to the temperature alarm threshold or the smoke detector 12 detects that smoke is generated, the data storage unit 11 generates an early warning signal to the data processing module 3, and the data processing module 3 controls the image acquisition unit 14 to perform inspection so as to obtain a real-time image of a site. In this structure, image acquisition unit 14 is high definition digtal camera, and it can patrol and examine at certain extent according to data processing module 3's instruction, forms a closed-loop control like this, uses more automatic and nimble.
The data processing module 3 processes the real-time image by adopting a deep learning algorithm, judges whether a fire disaster occurs in a corresponding area of the real-time image or not or whether a fire disaster exists in the corresponding area of the real-time image, alarms through the alarm module 4 if the fire disaster occurs or the fire disaster exists in advance, continues to process the real-time image, and sends the real-time situation of the fire disaster to the remote terminal 6 through the communication module 7 in real time after acquiring the real-time situation of the fire disaster; if no fire is expected or no fire exists, the image acquisition unit 14 is controlled to continuously inspect the detection point area.
The process of processing the real-time image by the deep learning algorithm is as follows:
s1: the data storage unit 11 stores pictures of the confirmed fire and continuously shot videos and sends the pictures of the fire to the log file generation module;
s2: the log file generation module receives and stores the received pictures, and uploads a log folder to the data processing module 3 every day, and the data processing module 3 stores the information into the platform learning module after receiving the log folder;
s3: the platform learning module learns the received pictures, and the learned results are sent to the image recognition analysis module after learning, so that the next judgment is more rapid and accurate, an intelligent fire risk prediction model is generated by learning historical data, and the fire risk condition in the detection point area is predicted by combining the data of the existing smoke detector 12 and the temperature sensor 13.
The remote terminal 6 comprises a computer, a display screen and a control keyboard, and the computer is connected with a vehicle management system, a fire extinguishing system, a surrounding precaution system and an intercom system through a network.
The communication module 7 is a wifi module or a bluetooth module or a wired serial port module.
It should be noted that the above mentioned embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, and the present invention may be modified in materials and structures, or replaced with technical equivalents. Therefore, structural equivalents made by using the description and drawings of the present invention or by directly or indirectly applying to other related arts are also encompassed within the scope of the present invention.
Claims (7)
1. A fire monitoring system based on computer control is characterized in that: comprises a data acquisition module, a data transmission module, a data processing module, an alarm module, a power supply module and a remote terminal, the data acquisition module comprises a data storage unit, a smoke detector, a temperature sensor and an image acquisition unit, the smoke detector, the temperature sensor and the image acquisition unit are distributed in the detection point area, and is electrically connected with the data storage unit which is electrically connected with the data processing module, and is used for sending data acquisition information to the data processing module, the data processing module is used for processing the data acquisition information, the remote terminal is connected with the data processing module through the communication module.
2. A computer-based fire monitoring system according to claim 1, wherein: the data storage unit comprises an RAM storage module and an ROM storage module, the RAM storage module is used for storing the operation logs of the smoke detector and the temperature sensor, and the ROM storage module is used for storing an operation program body used for controlling the operation track of the image acquisition unit.
3. A computer-based fire monitoring system according to claim 2, wherein: when the temperature sensor detects that the temperature is higher than or equal to a temperature alarm threshold value or the smoke detector detects that smoke is generated, the data storage unit generates an early warning signal and sends the early warning signal to the data processing module, and the data processing module controls the image acquisition unit to carry out inspection so as to obtain a field real-time image.
4. A computer-based fire monitoring system according to claim 3, wherein: the data processing module adopts a deep learning algorithm to process the real-time image, judges whether a fire disaster occurs or exists in a region corresponding to the real-time image, alarms through the alarm module if the fire disaster occurs or exists in advance, continues to process the real-time image, and sends the real-time situation of the fire disaster to the remote terminal through the communication module after acquiring the real-time situation of the fire disaster; and if the fire disaster is not expected or no fire disaster exists, controlling the image acquisition unit to continuously inspect the detection point area.
5. A computer-based fire monitoring system according to claim 4, wherein: the process of processing the real-time image by the deep learning algorithm is as follows:
s1: the data storage unit stores pictures of the confirmed fire and continuously shot videos and sends the pictures of the fire to the log file generation module;
s2: the log file generation module receives and stores the received pictures, and uploads a log folder to the data processing module every day, and the data processing module stores the information into the platform learning module after receiving the log folder;
s3: the platform learning module learns the received pictures, and the learned results are sent to the image recognition analysis module after learning, so that the next judgment is more rapid and accurate, an intelligent fire risk prediction model is generated by learning historical data, and the fire risk condition in the detection point area is predicted by combining the data of the existing smoke detector and the data of the temperature sensor.
6. A computer-based fire monitoring system according to claim 1, wherein: the remote terminal comprises a computer, a display screen and a control keyboard, wherein the computer is connected with a vehicle management system, a fire extinguishing system, a surrounding precaution system and an intercom system through a network.
7. A computer-based fire monitoring system according to claim 1, wherein: the communication module is a wifi module or a Bluetooth module or a wired serial port module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110967621.7A CN113674498A (en) | 2021-08-23 | 2021-08-23 | Fire monitoring system based on computer control |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110967621.7A CN113674498A (en) | 2021-08-23 | 2021-08-23 | Fire monitoring system based on computer control |
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| CN113674498A true CN113674498A (en) | 2021-11-19 |
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| CN202110967621.7A Pending CN113674498A (en) | 2021-08-23 | 2021-08-23 | Fire monitoring system based on computer control |
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- 2021-08-23 CN CN202110967621.7A patent/CN113674498A/en active Pending
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