CN115554638A - Fire fighting system and method based on artificial intelligence - Google Patents
Fire fighting system and method based on artificial intelligence Download PDFInfo
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- CN115554638A CN115554638A CN202211238296.1A CN202211238296A CN115554638A CN 115554638 A CN115554638 A CN 115554638A CN 202211238296 A CN202211238296 A CN 202211238296A CN 115554638 A CN115554638 A CN 115554638A
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62B—DEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
- A62B5/00—Other devices for rescuing from fire
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
- A62C37/50—Testing or indicating devices for determining the state of readiness of the equipment
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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Abstract
The invention relates to the technical field of fire fighting systems, in particular to a fire fighting system based on artificial intelligence, which comprises a data acquisition local area network, a regional internet of things server in internet of things with a plurality of data acquisition local area networks and a fire fighting internet of things cloud platform in internet of things with a plurality of regional internet of things servers, wherein the data acquisition local area networks are arranged in a single mall; fire-fighting equipment information and state data in a single store are acquired through a data acquisition local area network and fed back to the regional internet of things server for data region division, data content screening, classification and transmission. The system can acquire and feed back the states of the fire-fighting facilities in the shopping mall and data information in real time, and can alarm and remind related personnel to process the fire-fighting facilities in time when the fire-fighting facilities are abnormal, so that the normal use of the fire-fighting facilities is improved, the fire control during the occurrence of fire is increased, the escape probability is improved, and the data acquisition contents are fed back in real time and are subjected to data division and regional fire registration division, so that the subsequent important attention can be paid to the timely control of the occurrence rate of the fire.
Description
Technical Field
The invention relates to the technical field of fire fighting systems, in particular to a fire fighting system and a method based on artificial intelligence.
Background
The fire disaster is a man-made disaster, which is a disastrous burning phenomenon that the fire source loses control and develops to cause loss to people's lives and properties. A fire is also an ultimate disaster, and any other disaster may eventually lead to a fire. The fire can burn the material wealth created by the hard work of human beings, and the development of social economy and the normal life of people are influenced. Particularly in cities, the population in building buildings is relatively concentrated and has large population density, and once a fire disaster occurs, immeasurable loss can be caused. The main reason of the existing fire disaster is that the fire disaster is not timely relieved due to untimely discovery, so that the fire disaster is spread and the loss is enlarged;
the protection objects of the fire protection system have various forms, different functions and different scales. In order to facilitate early detection, early warning and daily maintenance and management, in an installed automatic fire alarm system, people generally divide the protection space into a plurality of alarm areas. Each alarm area is divided into a plurality of detection areas. Therefore, the fire position can be quickly and accurately determined in case of fire, and related personnel can take effective measures conveniently;
therefore, the alarm area is a part of space in which people divide the guard range of a fire protection system into fire zones or floors in design, and is a basic unit for arranging an area fire alarm controller. One alarm area can be composed of one fire-proof subarea or several adjacent fire-proof subareas on the same floor, but the same fire-proof subarea can not be positioned in two different alarm areas; the same alarm area can not protect a plurality of different fire zones of different floors, the fire-fighting system becomes an important tool for guiding fire-fighting and disaster-relief personnel at a critical moment, and the more accurate and efficient fire-fighting system can bring great convenience to fire-fighting work;
however, the existing building fire alarm system is easily influenced by external environmental factors, especially for shopping malls, fire doors and fire escape passages arranged in shopping malls are very easy to stack objects, and once a fire occurs, the shopping mall fire alarm system can only play a role of alarming and cannot provide effective help for escape personnel.
Therefore, a fire fighting system and a method based on artificial intelligence are provided.
Disclosure of Invention
The invention aims to provide a fire fighting system and a method based on artificial intelligence so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the fire fighting system based on artificial intelligence comprises a data acquisition local area network, a regional internet of things server and a fire fighting internet of things cloud platform, wherein the data acquisition local area network is arranged in a single mall, the regional internet of things server is in internet of things with a plurality of data acquisition local area networks, and the fire fighting internet of things cloud platform is in internet of things with the regional internet of things servers; acquiring and feeding back information and state data of fire fighting equipment in a single store to a regional internet of things server through a data acquisition local area network for data region division, data content screening and classification and transmitting the information and the state data to a fire fighting internet of things cloud platform for fire fighting early warning, alarm giving and visual management;
the data acquisition local area network is internally provided with a data acquisition main module, a data encryption module and an alarm control main module; the data acquisition main module is used for acquiring real-time data of state data of fire fighting facilities in a shopping mall, then the alarm control main module is used for alarming and controlling the fire fighting facilities according to the state of the fire fighting facilities, and related data acquisition, alarm information and control step contents are fed back to a data acquisition local area network through the data encryption module and fed back to an area internet of things server through wired and wireless internet of things;
the data acquisition local area network further comprises a sensor terminal for transmission, relevant sensors are arranged in the fire fighting facilities in the shopping mall, data transmission is carried out through the transmission of the sensors and the sensor terminal, and then data contents transmitted by the sensor terminal are extracted by the data acquisition module, wherein the sensors comprise a smoke sensor, a fire sensor, a temperature sensor, an infrared sensor and a pressure sensor.
Preferably, the basic fire-fighting equipment of the shopping mall includes the induction of a fire door, the induction of an escape passage, an escape passage indicator light and the state of fire-fighting equipment.
Preferably, prevent fire door response mainly used through the sensor with camera equipment detect the fire door and be in the good state that opens and shuts, the fire door open and shut state and the fire door around the regional debris that piles up under the non-emergency condition.
Preferably, the induction of the escape route also induces whether the escape route is free from foreign objects and smooth or not through a sensor and a camera device, and whether the escape route indicator light is in a normal use state or not and the use state of the indicator light during normal fire drilling.
Preferably, the state of the fire-fighting equipment mainly detects whether the pressure state of the fire-fighting water pump meets the requirement of fire-fighting use, whether the pressure state of the fire extinguisher, the service life of the fire extinguisher and related escape matching equipment are located at the specified position or not through a pressure sensor, and the content is reported through artificial daily routing inspection.
Preferably, the infrared light induction arranged on the fireproof door and the escape passage is connected with the alarm control main module, and when foreign matters exist in the fireproof door and the escape passage, the alarm control module immediately alarms to remind people to process the foreign matters.
Preferably, the emergency power supplies and the voice broadcasts of the escape indicator lamps in the escape passage and the fire fighting passage are connected with the alarm control main module, and the alarm control main module gives an alarm when detecting the abnormal situations.
Preferably, the regional internet of things server comprises data screening and classification, regional grading and transmission module connection, the data information transmitted by the data acquisition local area network is screened and classified through the data screening and classification, such as the fire occurrence position, the fire type and the alarm processing progress, and is uploaded to the fire fighting internet of things cloud platform through the transmission module link, the regional grading is graded for fire prevention of a single market through the module, and then the follow-up convenience user focuses on effective prevention.
Preferably, fire control thing allies oneself with cloud platform including logging on module fire control content visual, fire control early warning feedback and local fire control strength, is convenient for relevant personnel to log on fire control thing allies oneself with cloud platform through logging on the module, knows through the visual data content visual observation of fire control content to transmitting to fire control thing allies oneself with cloud platform, matches the timely early warning of market to the conflagration breaing out, dispatches, goes out police, the disaster condition through fire control early warning feedback cooperation local fire control strength matching.
The fire fighting method of the fire fighting system based on artificial intelligence comprises the following steps:
s1, building a data acquisition local area network by arranging sensors in fire-fighting facilities in a single market in a wired and wireless Internet of things mode and transmitting the states of the fire-fighting facilities in the market and information data in real time;
s2, configuring a regional Internet of things server, carrying out real-time data information transmission on wired and wireless Internet of things of a plurality of data acquisition local area networks through the regional Internet of things server, and screening and classifying data contents and classifying regional grades;
s3, carrying out Internet of things on the plurality of regional Internet of things servers and the fire fighting Internet of things cloud platform to construct a local fire fighting system, and logging in and managing through authorized personnel;
and S4, visually managing the transmission data by the fire-fighting Internet of things cloud platform, and timely early warning, dispatching, giving out an alarm and treating the disaster condition of the fire-fighting department in the shopping mall in which the fire disaster occurs by matching fire-fighting early warning feedback with local fire-fighting force matching.
Compared with the prior art, the invention has the beneficial effects that:
the system can acquire and feed back the states of the fire-fighting facilities in the shopping mall and data information in real time, and can alarm and remind related personnel to process the fire-fighting facilities in time when the fire-fighting facilities are abnormal, so that the normal use of the fire-fighting facilities is improved, the fire control during the occurrence of fire is increased, the escape probability is improved, and the data acquisition contents are fed back in real time and are subjected to data division and regional fire registration division, so that the subsequent important attention can be paid to the timely control of the occurrence rate of the fire.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is an overall structural view of the present invention;
FIG. 2 is a diagram of a data acquisition LAN system of the present invention;
FIG. 3 is a diagram of the method steps of the present invention
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 3, the present invention provides a technical solution:
the fire fighting system based on artificial intelligence comprises a data acquisition local area network, a regional internet of things server and a fire fighting internet of things cloud platform, wherein the data acquisition local area network is arranged in a single mall, the regional internet of things server is in internet of things with a plurality of data acquisition local area networks, and the fire fighting internet of things cloud platform is in internet of things with the regional internet of things servers; acquiring and feeding back information and state data of fire fighting equipment in a single store to a regional internet of things server through a data acquisition local area network for data region division, data content screening and classification and transmitting the information and the state data to a fire fighting internet of things cloud platform for fire fighting early warning, alarm giving and visual management;
the data acquisition local area network is internally provided with a data acquisition main module, a data encryption module and an alarm control main module; the data acquisition main module is used for acquiring real-time data of state data of fire fighting facilities in a shopping mall, then the alarm control main module is used for alarming and controlling the fire fighting facilities according to the state of the fire fighting facilities, and related data acquisition, alarm information and control step contents are fed back to a data acquisition local area network by the data encryption module and fed back to an area internet-of-things server in a wired and wireless internet-of-things mode;
the data acquisition local area network further comprises a sensor terminal for transmission, relevant sensors are arranged in the fire-fighting facilities in the shopping mall, data transmission is carried out through the transmission of the sensors and the sensor terminal, and then data contents transmitted by the sensor terminal are extracted by the data acquisition module, wherein the sensors comprise smoke sensors, fire sensors, temperature sensors, infrared sensors and pressure sensors. The basic fire-fighting facilities of the shopping mall comprise the induction of a fireproof door, the induction of an escape passage, an escape passage indicating lamp and the state of fire-fighting equipment.
The fire door response mainly used detects whether the fire door is in the good state that opens and shuts through sensor and camera equipment, whether the opening and shutting state and the fire door region around of the non-emergency condition of fire door stack debris. The response of passway for escaping also passes through sensor and camera equipment response passway for escaping whether the nothing foreign object is unobstructed, whether the passway for escaping pilot lamp is in normal use state and this pilot lamp user state when normal conflagration rehearsal.
The state of the fire-fighting equipment mainly detects whether the pressure state of the fire-fighting water pump meets the requirement of fire fighting, the pressure state of the fire extinguisher, the service life of the fire extinguisher and whether related escape matching equipment is located at an appointed position through a pressure sensor, and the content is reported through artificial daily routing inspection. The infrared light sensors arranged on the fireproof door and the escape passage are connected with the alarm control main module, and when foreign matters exist in the fireproof door and the escape passage, the alarm control module immediately alarms to remind people to handle the foreign matters. And standby power supplies and voice broadcasting of escape indicator lamps in the escape passage and the fire fighting passage are connected with the alarm control main module, and the alarm control main module alarms when detecting abnormal situations.
The regional Internet of things server comprises data screening and classification, regional grading and transmission module connection, data information transmitted by a data acquisition local area network is screened and classified through the data screening and classification, such as fire occurrence positions, fire types and alarm processing progress and is linked and uploaded to a fire fighting Internet of things cloud platform through the transmission module, the regional grading is used for grading fire prevention of a single market through the module, and then a subsequent user of convenience focuses on effective prevention.
The fire control thing allies oneself with cloud platform is convenient for relevant personnel to log in fire control thing allies oneself with cloud platform including logging in that module fire control content is visual, fire control early warning feedback and local fire control strength, through the visual understanding of observing of the data content of transmitting to fire control thing allies oneself with cloud platform of fire control content, through the timely early warning of the market of fire control early warning feedback cooperation local fire control strength matching to the conflagration breaing out, dispatch, police dispatch, disaster are handled.
The fire fighting method of the fire fighting system based on artificial intelligence comprises the following steps:
s1, building a data acquisition local area network by arranging sensors in fire-fighting facilities of a single market in a wired and wireless internet of things mode and transmitting the state of the fire-fighting facilities in the market and information data in real time;
s2, configuring a regional Internet of things server, carrying out real-time data information transmission on wired and wireless Internet of things of a plurality of data acquisition local area networks through the regional Internet of things server, and screening and classifying data contents and classifying regional grades;
s3, carrying out Internet of things construction on the plurality of regional Internet of things servers and the fire fighting Internet of things cloud platform to construct a local fire fighting system, and logging in and managing through authorized personnel;
and S4, visually managing the transmission data by the fire-fighting Internet of things cloud platform, and timely early warning, dispatching, giving out an alarm and treating the disaster condition of the fire-fighting department in the shopping mall in which the fire disaster occurs by matching fire-fighting early warning feedback with local fire-fighting force matching.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The fire fighting system based on artificial intelligence is characterized by comprising a data acquisition local area network, a regional internet of things server and a fire fighting internet of things cloud platform, wherein the data acquisition local area network is arranged in a single commercial site; acquiring and feeding back information and state data of fire fighting equipment in a single store to a regional internet of things server through a data acquisition local area network for data region division, data content screening and classification and transmitting the information and the state data to a fire fighting internet of things cloud platform for fire fighting early warning, alarm giving and visual management;
the data acquisition local area network is internally provided with a data acquisition main module, a data encryption module and an alarm control main module; the data acquisition main module is used for acquiring real-time data of state data of fire fighting facilities in a shopping mall, then the alarm control main module is used for alarming and controlling the fire fighting facilities according to the state of the fire fighting facilities, and related data acquisition, alarm information and control step contents are fed back to a data acquisition local area network through the data encryption module and fed back to an area internet of things server through wired and wireless internet of things;
the data acquisition local area network further comprises a sensor terminal for transmission, relevant sensors are arranged in the fire-fighting facilities in the shopping mall, data transmission is carried out through the transmission of the sensors and the sensor terminal, and then data contents transmitted by the sensor terminal are extracted by the data acquisition module, wherein the sensors comprise smoke sensors, fire sensors, temperature sensors, infrared sensors and pressure sensors.
2. A fire fighting system based on artificial intelligence as defined in claim 1, wherein: the basic fire-fighting facilities of the shopping mall comprise the induction of a fireproof door, the induction of an escape passage, an escape passage indicating lamp and the state of fire-fighting equipment.
3. A fire protection system based on artificial intelligence, as claimed in claim 2, wherein: prevent fire door response mainly used through the sensor with camera equipment detect the fire door whether be in the good state that opens and shuts, the fire door state of opening and shutting under the non-emergency condition and the fire door region around whether pile up debris.
4. A fire fighting system based on artificial intelligence as defined in claim 2, wherein: the response of passway for escaping also passes through sensor and camera equipment response passway for escaping whether it is free from foreign objects unobstructed, whether the passway for escaping pilot lamp is in normal use condition and this pilot lamp user state when normal conflagration rehearsal.
5. A fire fighting system based on artificial intelligence as defined in claim 2, wherein: the fire-fighting equipment state mainly detects whether the pressure state of the fire-fighting water pump meets the requirement of fire-fighting use through a pressure sensor, the pressure state of a fire extinguisher, the service life of the fire extinguisher and whether related escape matching equipment is located at a specified position, and all the contents are reported through artificial daily routing inspection.
6. A fire fighting system based on artificial intelligence as defined in claim 2, wherein: the infrared photoinduction and the alarm control main module arranged on the fireproof door and the escape passage are connected, and when foreign matters exist in the fireproof door and the escape passage, the alarm control module immediately alarms to remind people to process the foreign matters in real time.
7. A fire fighting system based on artificial intelligence as defined in claim 2, wherein: and standby power supplies and voice broadcasting of escape indicator lamps in the escape passage and the fire fighting passage are connected with the alarm control main module, and the alarm control main module alarms when detecting abnormal situations.
8. A fire protection system based on artificial intelligence according to claim 1, wherein: the regional internet of things server comprises data screening classification, regional grade division and transmission module connection, data information transmitted by a data acquisition local area network is screened and classified through the data screening classification, such as fire occurrence position, fire type and alarm processing progress, and is linked and uploaded to a fire-fighting internet of things cloud platform through the transmission module, the regional grade division is used for carrying out grade division on fire prevention of a single market through the module, and then subsequent convenience users pay close attention to effective prevention.
9. A fire fighting system based on artificial intelligence as defined in claim 8, wherein: the fire control thing allies oneself with cloud platform is convenient for relevant personnel to log in fire control thing allies oneself with cloud platform including logging in that module fire control content is visual, fire control early warning feedback and local fire control strength, through the visual understanding of observing of the data content of transmitting to fire control thing allies oneself with cloud platform of fire control content, through the timely early warning of the market of fire control early warning feedback cooperation local fire control strength matching to the conflagration breaing out, dispatch, police dispatch, disaster are handled.
10. A method of fighting fire in an artificial intelligence based fire protection system as claimed in any one of claims 1 to 9, comprising the steps of:
s1, building a data acquisition local area network by arranging sensors in fire-fighting facilities of a single market in a wired and wireless internet of things mode and transmitting the state of the fire-fighting facilities in the market and information data in real time;
s2, configuring a regional Internet of things server, carrying out real-time data information transmission on a plurality of data acquisition local area networks wired and wireless Internet of things through the regional Internet of things server, screening and classifying data contents and classifying regional grades
S3, carrying out Internet of things construction on the plurality of regional Internet of things servers and the fire fighting Internet of things cloud platform to construct a local fire fighting system, and logging in and managing through authorized personnel;
and S4, visually managing the transmission data by the fire fighting Internet of things cloud platform, and timely early warning, dispatching, alarming and disaster treatment for the fire department shopping mall by matching fire warning feedback with local fire fighting force matching.
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