CN110237477A - A kind of firefighting monitoring system based on artificial intelligence - Google Patents
A kind of firefighting monitoring system based on artificial intelligence Download PDFInfo
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- CN110237477A CN110237477A CN201910071291.6A CN201910071291A CN110237477A CN 110237477 A CN110237477 A CN 110237477A CN 201910071291 A CN201910071291 A CN 201910071291A CN 110237477 A CN110237477 A CN 110237477A
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- temperature
- fire
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Classifications
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
- A62C37/36—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device
- A62C37/38—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone
- A62C37/40—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone with electric connection between sensor and actuator
-
- 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
Abstract
A kind of firefighting monitoring system based on artificial intelligence provided by the invention, including control system, n group temperature sensor, n group smoke sensor device, n group gas sensor and n group fire-fighting spray device, and other compatible existing fire products or device, each sensor unit can realize remote networking to manage concentratedly by Double wire transmission or WLAN/4G/5G/ repeater.The present invention is provided firefighting monitoring system and is analyzed based on artificial intelligence approach, detection accuracy is high, simultaneously because there is the process of study, early warning can be issued using big data judgement extremely and warn fire in time, warning function will strive for valuable time, therefore the fire fighting monitoring being suitable under various environment to fire rescue.
Description
Technical field
The present invention relates to a kind of firefighting monitoring systems based on artificial intelligence, belong to field of fire fighting equipment.
Background technique
With the high speed development of urban economy, the type and property of urban architecture are increasingly sophisticated, at building, road, water source
Etc. uncertainty in elements also increase significantly, thus the especially fireproof processing of the public safety affairs in city is increasingly drawn
The attention of people is played, fire once especially occurs in public places and delay alarm or alarm condition are unknown, fire place
Loss it is inestimable.
Fire development includes three phases: 1, initialization phase, and flame just starts combustion phases, and power is low, and rate of propagation is slow,
Simple manpower can put out a fire, and in fact most of fire was knocked out in this stage；2, build phase, the intensity of a fire persistently increase
Long, rate of propagation is increased with geometric format；When room reaches 500-600 degrees Celsius, all objects in room,
Regardless of can all burn because of thermoradiation efficiency moment either with or without the object for directly contacting flare；3, abundant developing stage extremely decays,
The intensity of a fire reaches peak, here it is the picture most shaken in news scene is frequently appeared in, if the building Zheng Zhuan all burns up, the tongues of fire from
Lick out in all windows in building, stage fireman can only peripheral control, when fire can go out and sees providence.
Currently, the fire fighting monitoring equipment that building use generally includes smoke alarm and fire-fighting automatic spraying device.Smog
Alarm, also known as: fire hazard aerosol fog alarm, smoke sensor device etc..Smoke detector is divided into photoelectric smoke alarm and ion again
Smoke detector.In simple terms, working principle is all: realizing the prevention of fire by monitoring the concentration of smog.Smog alert
Device can provide most efficiently most timely early warning, allow you to have time enough to escape even and put out a fire；The design of smoke detector is managed
It reads, is exactly to give people's early warning between initial phase to developing stage in fire.Fire-fighting automatic spraying device is that automatic water jetting goes out
Key component in fiery system is responsible for the important task of detection fire, activation system and sprinkling fire；Fire occur initial stage,
The temperature of building constantly rises therewith；When temperature rises to a certain extent, the temp-sensing element meeting explosion or fusing of spray head are de-
It falls, then the water in pipe sprays fire extinguishing automatically under the action of fire water box.
However, current fire fighting monitoring equipment there is a problem of it is more: firstly, spray head spray temperature it is constant, be warming
The preset temperature of element, however, since the environment used is varied, such as have and used in building, temperature is relative constant, but
It is also to have and used in factory, usual plant produced environment temperature is higher, thereby increases and it is possible to since certain specific factors lead to temperature
It is whole to be promoted, use the temp-sensing element of same preset temperature to frequently can lead to accidentally spray as spray temperature；Secondly, same environment
The factors such as different time, such as seasonal variations also result in environment temperature and have a difference, and fixed temp-sensing element preset temperature
Adaptive adjustment cannot timely be made.
Summary of the invention
Technical problem: in order to solve the defects of prior art, the present invention provides a kind of, and the fire-fighting based on artificial intelligence is supervised
Control system.
Technical solution: a kind of firefighting monitoring system based on artificial intelligence provided by the invention, including control system, n group
Temperature sensor, n group smoke sensor device, n group gas sensor, n group fire-fighting spray device；
Monitoring area is divided into one group of subdivision monitoring area, including the 1st monitoring area, the 2nd monitored space by control system
Domain ... the n-th monitoring area of m monitoring area ...；One group of temperature sensor, one are set in each subdivision monitoring area
Group smoke sensor device, one group of fire-fighting spray device；
The control system receives the data of one group of temperature sensor in each region, one group of smoke sensor device, and analyzes
Whether there is fire in each region, if having fire in m monitoring area, then controls the fire-fighting spray in m monitoring area
Shower device sprays the monitoring area；
Control system in the m monitoring area monitoring and fire-fighting method are as follows:
Temperature data in (1) one group of temperature sensor real-time collecting monitoring area, and temperature data is sent to control
It is continuous to collect x days in system processed；Control system handles the temperature data of x days synchronizations, and formation temperature is to the time
Correlativity；
2) temperature sensor real-time monitoring temperature data, smoke sensor device real-time monitoring smoke data, and by temperature data
It is sent to control system, for control system using temperature to the correlativity of time, whether analysis current time temperature is abnormal；Work as temperature
When degree is abnormal, issue warning signal, and analyze whether smoke data and gas-composition data have exception, when smoke data and gas
Compositional data there is also when exception there is also it is abnormal when, then judgement have fire occur risk, duty room central controller screen
Prompt has fire behavior early warning, or controls fire-fighting spray device spray according to setting control system；
Wherein, m, n, x are natural number.
As an improvement, control system divides monitoring area by regional space, regional function or regional environment.
As an improvement, the quantity for the smoke sensor device being arranged in the different group smoke sensor devices is identical or different.
As an improvement, be uniformly arranged in each subdivision monitoring area one group of temperature sensor, one group of smoke sensor device,
One group of fire-fighting spray device.
As an improvement, the temperature to the correlativity of time be temperature to the function curve or temperature of time to the time
Neural network.
As an improvement, generation type of the temperature to the function curve of time are as follows: form smoothly temperature data for 24 hours
Temperature curve then reject the time data when there are abnormal datas；X days temperature curves are fitted to a smooth temperature
It writes music line.
As an improvement, generation type of the temperature to the neural network of time are as follows: utilize the data of temperature and moment, structure
It builds and trained temperature and moment neural network, neural network output is the temperature data at a certain moment.
It is analyzed the utility model has the advantages that the present invention provides firefighting monitoring system based on artificial intelligence approach, detection accuracy is high, simultaneously
Due to there is the process of study, fire, therefore the fire fighting monitoring being suitable under various environment are indicated using abnormal judgement.
Monitoring system of the invention is judged as that abnormal state, acquisition abnormity data are established to monitoring area ambient condition
Database, self memory storage learning data, over time, database is enriched constantly perfect, fire data intelligence ratio
It will be more accurate to judgement.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural schematic diagrams of the firefighting monitoring system of artificial intelligence；
Fig. 2 is a kind of structural schematic diagram of control system.
Specific embodiment
The present invention is further illustrated below.
Firefighting monitoring system based on artificial intelligence, including control system, n group temperature sensor, n group smoke sensor device, n
Group fire-fighting spray device；
The control system includes central processing module, and the central processing module is used to receive information to be treated,
Information is analyzed and processed, and data are saved；The central processing module include external sensor controller, in
Entreat controller, position sensor and data storage element；The external sensor controller is electrically connected the central controller,
External sensor controller is used to receive the data of temperature sensor, smoke sensor device, and transfers data to central controller,
Central controller is electrically connected position sensor and fire-fighting spray device, and position sensor is to temperature sensor, smoke sensor device
Installation site is positioned, and location information is sent to central controller, and central controller senses temperature sensor, smog
After the data of device introduce artificial intelligence control algorithm progress analytical calculation, control signal is sent to fire-fighting spray device；Center control
Device processed is electrically connected data storage cell, and data storage cell carries out encrypting storing to data.Central controller is configured with number
Word amount and analog input and output interface, for controlling other existing or additional fire fighting unit products.
Monitoring area is divided into one group of subdivision monitoring area, including the 1st monitoring area, the 2nd monitored space by control system
Domain ... the n-th monitoring area of m monitoring area ...；One group of temperature sensor, one are set in each subdivision monitoring area
Group smoke sensor device, one group of fire-fighting spray device；Control system divides monitored space by regional space, regional function or regional environment
Domain.One group of temperature sensor, one group of smoke sensor device, one group of fire-fighting spraying dress are uniformly arranged in each subdivision monitoring area
It sets；Optionally, the quantity for the smoke sensor device being arranged in the different group smoke sensor devices is identical or different.
The control system receives the data of one group of temperature sensor in each region, one group of smoke sensor device, and analyzes
Whether there is fire in each region, if having fire in m monitoring area, then controls the fire-fighting spray in m monitoring area
Shower device sprays the monitoring area；
More specifically, control system system as shown in Figure of description 2 includes CPU, intelligent chip, data acquisition
Device, input/output interface etc..
Control system in the m monitoring area monitoring and fire-fighting method are as follows:
Temperature data in (1) one group of temperature sensor real-time collecting monitoring area, and temperature data is sent to control
It is continuous to collect x days in system processed；Control system handles the temperature data of x days synchronizations, and formation temperature is to the time
Correlativity；
(2) temperature sensor real-time monitoring temperature data, smoke sensor device real-time monitoring smoke data, and by temperature data
It is sent to control system, for control system using temperature to the correlativity of time, whether analysis current time temperature is abnormal；Work as temperature
When degree is abnormal, issue warning signal, and analyze whether smoke data and gas-composition data have exception, when smoke data and gas
Compositional data there is also when exception there is also it is abnormal when, then judgement has a fire, and control system controls fire-fighting spray device spray
Leaching；
Wherein, m, n, x are natural number.
The definition for stating artificial intelligence control algorithm includes: the definition of Environmental security state, model structure and parameters design definition；
Wherein, the Environmental security state, which defines, includes:
1) Environmental security state in monitoring area defines；
2) data analyze size definition；
The model structure and parameters design definition includes:
1) subsystem of model, component design；
2) parameter list of the subsystem of model and model and definition；
The artificial intelligence control rule includes:
1) monitoring area environment present real-time temperature；
2) monitoring area environmental history same period real time temperature；
3) neural network that monitoring area environment real time temperature and the functional relation between the time are constituted.
Central controller artificial intelligence control algorithm determines that monitoring area ambient condition includes: for abnormal state
1) monitor current time temperature and time function curve slope and temperature to it is current in the function curve of time when
It carves slope and differs certain threshold value；
2) temperature data at the moment that the current time temperature monitored is exported with neural network differs certain threshold value.
Claims (8)
1. a kind of firefighting monitoring system based on artificial intelligence, it is characterised in that: including control system, n group temperature sensor, n
Group smoke sensor device, n group gas sensor, n group fire-fighting spray device；
Monitoring area is divided into one group of subdivision monitoring area, including the 1st monitoring area, the 2nd monitored space by control system
Domain ... the n-th monitoring area of m monitoring area ...；One group of temperature sensor, one are set in each subdivision monitoring area
Group smoke sensor device, n group gas sensor, one group of fire-fighting spray device；
The control system receives the data of one group of temperature sensor in each region, one group of smoke sensor device, and analyzes each area
Whether there is fire in domain, if having fire in m monitoring area, then controls the fire-fighting spraying dress in m monitoring area
It sets and the monitoring area is sprayed；
Control system in the m monitoring area monitoring and fire-fighting method are as follows:
Temperature data in (1) one group of temperature sensor real-time collecting monitoring area, and temperature data is sent to control system
It is continuous to collect x days in system；Control system handles the temperature data of x days synchronizations, phase of the formation temperature to the time
Pass relationship；
(2) temperature sensor real-time monitoring temperature data, smoke sensor device real-time monitoring smoke data, gas sensor are supervised in real time
Gas-composition data is surveyed, and temperature data is sent to control system, control system, to the correlativity of time, is divided using temperature
Whether abnormal analyse current time temperature；It when temperature anomaly, issues warning signal, and analyzes smoke data and gas-composition data
Whether have exception, when smoke data and gas-composition data there is also it is abnormal when, then judgement has fire, control system control
Fire-fighting spray device spray；
Wherein, m, n, x are natural number.
2. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: control system is pressed
Regional space, regional function or regional environment divide monitoring area.
3. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: the difference group
The quantity for the smoke sensor device being arranged in smoke sensor device is identical or different.
4. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: described each thin
One group of temperature sensor, one group of smoke sensor device, one group of fire-fighting spray device are uniformly arranged in point monitoring area.
5. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: the control system
System includes central processing module, and the central processing module is used to receive information to be treated, be analyzed and processed to information,
And data are saved；The central processing module includes external sensor controller (data collector), center control
Device, position sensor (supporting the positioning of GPS/ Beidou) and data storage element ROM/DRAM；The external sensor controller electricity
Property the connection central controller, external sensor controller is used to receive the data of temperature sensor, smoke sensor device, and will
Data transmission is electrically connected position sensor and fire-fighting spray device, position sensor pair to central controller, central controller
Temperature sensor, smoke sensor device installation site are positioned, and location information is sent to central controller, central controller
After the data of temperature sensor, smoke sensor device are introduced artificial intelligence control algorithm progress analytical calculation, filled to fire-fighting spraying
Set transmission control signal；Central controller is electrically connected data storage cell, and data storage cell carries out encryption guarantor to data
It deposits.
6. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: central controller
Configured with digital quantity and analog input and output interface, for controlling other existing or additional fire fighting unit products.
7. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: the artificial intelligence
The definition that can control algorithm includes: the definition of Environmental security state, model structure and parameters design definition；
Wherein, the Environmental security state, which defines, includes:
1) Environmental security state in monitoring area defines；
2) data analyze size definition；
The model structure and parameters design definition includes:
1) subsystem of model, component design；
2) parameter list of the subsystem of model and model and definition；
The artificial intelligence control rule includes:
1) monitoring area environment present real-time temperature；
2) monitoring area environmental history same period real time temperature；
3) neural network that monitoring area environment real time temperature and the functional relation between the time are constituted.
8. a kind of firefighting monitoring system based on artificial intelligence according to claim 1, it is characterised in that: central controller
Artificial intelligence control algorithm determines that monitoring area ambient condition includes: for abnormal state
1) the current time temperature and time function curve slope and temperature monitored is oblique to current time in the function curve of time
Rate differs certain threshold value；
2) temperature data at the moment that the current time temperature monitored is exported with neural network differs certain threshold value.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110702533A (en) * | 2019-09-30 | 2020-01-17 | 青岛旭域土工材料股份有限公司 | High-low temperature circulation and loading test device for long-term mechanical property of geosynthetic material |
| CN111544819A (en) * | 2020-06-01 | 2020-08-18 | 中国中元国际工程有限公司 | Intelligent automatic fire-fighting water spraying method |
| CN113516374A (en) * | 2021-06-18 | 2021-10-19 | 云南电网有限责任公司保山供电局 | Indoor fire extinguishing system of electronic equipment and unmanned on duty place |
| CN114870313A (en) * | 2022-06-07 | 2022-08-09 | 慧之安信息技术股份有限公司 | Intelligent fire-fighting comprehensive monitoring system |
| CN114887267A (en) * | 2022-04-21 | 2022-08-12 | 北京工业大学 | Intelligent fire positioning method and partitioned fire extinguishing device for power cabin of comprehensive pipe rack |
| CN115171320A (en) * | 2022-06-29 | 2022-10-11 | 万霖消防技术有限公司 | Fire-fighting monitoring method and system |
| CN116884126A (en) * | 2023-07-12 | 2023-10-13 | 浙江三网科技股份有限公司 | Community entrance guard control device and temperature control method |
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