CN117079398A - Intelligent fire-fighting detection and early warning system - Google Patents
Intelligent fire-fighting detection and early warning system Download PDFInfo
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- CN117079398A CN117079398A CN202310908404.XA CN202310908404A CN117079398A CN 117079398 A CN117079398 A CN 117079398A CN 202310908404 A CN202310908404 A CN 202310908404A CN 117079398 A CN117079398 A CN 117079398A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 49
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- 230000004044 response Effects 0.000 claims abstract description 9
- 230000006870 function Effects 0.000 claims description 9
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- 239000000779 smoke Substances 0.000 claims description 7
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- 230000006855 networking Effects 0.000 claims description 3
- 230000008901 benefit Effects 0.000 abstract description 5
- 238000007405 data analysis Methods 0.000 abstract description 4
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Classifications
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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
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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
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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Abstract
The invention discloses an intelligent fire-fighting detection and early warning system which comprises a monitoring module, a data acquisition module, a data processing module, an early warning module, an integration module and a remote monitoring module. The system can detect and early warn fire in various modes by utilizing the arrangement of the monitoring module, the data acquisition module, the data processing module, the early warning module, the integration module and the remote monitoring module, improves the fire prevention and emergency response capability, helps management personnel to discover fire and other safety problems in time, can greatly improve the working efficiency by an intelligent and automatic mechanism, can automatically acquire and analyze data, realize intelligent early warn and emergency response, can automatically and intelligently detect and early warn, can remotely monitor, reduces the cost of manpower and material resources, improves the benefit and economic benefit of fire safety, and ensures that the management of the system is more standard, fine and comprehensive by various data analysis and early warn mechanisms.
Description
Technical Field
The invention relates to the technical field of fire protection, in particular to an intelligent fire protection detection and early warning system.
Background
The existing fire protection detection and early warning generally adopts a sensor or a detector to sense fire, but due to interference factors such as the accuracy limit of the sensor, dust and the like, a certain false alarm rate can be caused, unnecessary trouble and economic loss can be caused by false alarm, normal and living orders can be interfered even, equipment can not be processed in time after the occurrence of faults, overhaul and operation of a system are delayed, the opportunity for fire occurrence can be created, meanwhile, due to the complexity and importance of the system, the skill requirement on related maintenance personnel is high, the maintenance cost of the system is increased, and for this reason, the intelligent fire protection detection and early warning system is proposed.
Disclosure of Invention
The invention aims to provide an intelligent fire-fighting detection and early warning system so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: wisdom fire control detects and early warning system includes:
the monitoring module is used for monitoring the environment;
the data acquisition module is used for determining whether fire accidents or other safety problems occur;
the data processing module is used for processing the data acquired by the data acquisition module;
the early warning mechanism is used for reminding a manager to arrange and process warning conditions;
the remote monitoring module monitors the alarm situation position by staff;
the integrated module is used for integrating the monitoring module, the data acquisition module, the data processing module, the early warning module and the remote monitoring module.
Preferably, the terminal of the monitoring module is a sensor, and the sensor comprises a temperature sensor, a smoke sensor and a gas sensor.
Preferably, the data acquisition module is used for assisting in judging and analyzing data, and the mode of the data acquisition module comprises wired and wireless modes.
Preferably, the early warning module comprises intelligent judging, finding and alarming functions, and the early warning mode of the early warning module comprises networking, short messages and telephones.
Preferably, the remote monitoring module further comprises a command function, and the working mode of the remote monitoring module is as follows: after the remote monitoring module finds the alarm condition, the remote monitoring module can automatically instruct the issuing of the alarm and the acceptance of staff of a command center, and the emergency response team and the scheduling resource are timely expanded to deal with the emergency on site.
Preferably, the function of the early warning module further comprises reminding of people nearby the fire disaster, the reminding mode comprises an alarm, an LED display and a voice prompt, the early warning module is used for starting a fire disaster early warning mechanism and transmitting early warning information to a command center, and the early warning information comprises a fire scene position, a fire scene size and a fire disaster sample.
Preferably, the integrated module further comprises a man-machine interaction module, and the man-machine interaction module is used for operating and managing by a manager.
Preferably, the integrated module further comprises a protection module comprising software and hardware facilities with protection against attacks and viruses.
The invention has the technical effects and advantages that:
the system can detect and early warn by utilizing the arrangement of the monitoring module, the data acquisition module, the data processing module, the early warning module, the integration module and the remote monitoring module, so that the fire disaster prevention and emergency response capability is improved, management staff is helped to find fire disaster and other safety problems in time, effective measures are taken for processing and rescuing, an intelligent and automatic mechanism can greatly improve the working efficiency, data acquisition and analysis can be automatically carried out, intelligent early warn and emergency response are realized, the working quality and efficiency are improved, and the detection and early warn can be automatically and intelligently carried out, meanwhile, the cost of manpower and material resources is reduced, the benefit and economic benefit of fire safety are improved, and the system management is more standard, fine and comprehensive through various data analysis and early warn mechanisms, and meanwhile, the development of informatization and intelligence is promoted.
Drawings
FIG. 1 is a schematic diagram of a fire detection and early warning system of the present invention.
FIG. 2 is a schematic diagram of an integrated module according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The present invention provides an intelligent fire detection and early warning system as shown in fig. 1-2, comprising:
the system comprises a monitoring module, a monitoring module and a control module, wherein the monitoring module is used for monitoring the environment, the terminal of the monitoring module is a sensor, the sensor comprises a temperature sensor, a smoke sensor and a gas sensor, the type of the sensor needs to be deployed by selecting a proper sensor according to the monitored object and the environment, the temperature sensor can be used for monitoring 2 temperature changes, the smoke sensor can be used for monitoring smoke conditions, the gas sensor can be used for monitoring the concentration of gases such as oxygen, carbon dioxide and the like, all the sensors acquire and transmit data through the Internet, and the transmitted data can be used as a basis for data analysis and early warning;
the system comprises a data acquisition module, a wireless acquisition module and a Bluetooth module, wherein the data acquisition module is used for determining whether fire accidents or other safety problems occur, the data acquisition module is used for assisting in judging and analyzing data, the data acquisition module comprises a wire and a wireless mode, the data acquisition module is used with a monitoring module, the wire mode is used for connecting a sensor and a controller by using a physical cable so as to transmit data, the wireless acquisition mode is used for connecting the sensor and the controller by using a wireless communication technology, the data acquisition module comprises a WiFi wireless network and Bluetooth, the WiFi wireless network can be used for transmitting data through a wireless local area network, and the connection of the Bluetooth technology is generally only suitable for wireless data transmission in a shorter distance and is limited by the distance;
the data processing module is used for processing the data acquired by the data acquisition module, a large amount of data can be generated in the data acquisition process of the sensor equipment, and the data analysis can be performed through an artificial intelligence technology, so that an automatic analysis and early warning mechanism is realized, and the occurrence of safety problems such as fire disaster and the like can be more accurately judged, wherein the artificial intelligence technology comprises machine learning, deep learning, data mining, real-time analysis and natural language processing; machine learning is an important branch of artificial intelligence, and can enable a computer to learn and identify modes from data through algorithm and model training so as to predict and make decisions, and in an intelligent fire protection system, the machine learning can be used for identifying fire characteristics, analyzing sensor data and detecting abnormal conditions; deep learning is a special form of machine learning, and can process large-scale data and automatically extract advanced features by constructing a deep neural network model for learning and reasoning, and can be used for tasks such as image recognition, video analysis, sound processing and the like in a fire protection system; data mining is the process of finding hidden patterns, associations, and trends from a large amount of data. In an intelligent fire protection system, data mining can help discover rules and features related to a fire, for example, through association rule mining analysis, the association relationship between the occurrence of the fire and specific environmental factors can be discovered; the real-time analysis technology can be used for rapidly processing and analyzing the data so as to realize timely early warning and response, and in an intelligent fire-fighting system, the real-time analysis can be used for monitoring sensor data flow, detecting abnormal conditions and triggering a corresponding early warning mechanism; natural language processing techniques may help fire protection systems understand and process fire protection related text data, such as fire reports, safety specifications, etc., which may be used for tasks such as information extraction, text classification, and text generation;
the system comprises an early warning mechanism, an early warning mechanism and a control center, wherein the early warning mechanism is used for reminding a manager to arrange and process an alarm condition, the early warning mechanism comprises intelligent judging, finding and alarming functions, the early warning mode of the early warning module comprises networking, short messages and telephones, the early warning mode of the early warning module also comprises reminding people nearby a fire disaster, the early warning mode comprises an alarm, an LED display and a voice prompt, the early warning mode is used for starting a fire early warning mechanism and transmitting early warning information to the control center, the early warning information comprises a fire scene position, a fire scene size and a fire disaster sample, such as a slight fire disaster or a smoke situation, the system can timely warn through the early warning function, the acquired data can be analyzed in real time, the system can detect abnormal conditions, such as abnormal temperature rise, smoke concentration exceeds a safety threshold value and the like, whether fire risks or other safety problems exist or not can be judged based on a learned algorithm, once the system intelligently judges that the fire risks or other safety problems exist, the early warning mechanism can be triggered, the system can be connected to a computer, a mobile phone or other equipment of the manager through the Internet, and transmits an alarm notification to the manager, and sends a short message alarm to the manager to remind the manager that the system can take immediate actions, and automatically dial the telephone numbers of the manager and the emergency situation, such as a sound prompt lamp, the emergency lamp and the alarm lamp can be started through the voice prompt, the system and the alarm device to be noticed at the scene, and the alarm device;
the remote monitoring module, remote monitoring module staff monitors alert condition position, and remote monitoring module still includes the command function, and remote monitoring module's mode of operation is: after the remote monitoring module finds the alarm condition, the remote monitoring module can automatically instruct the issuing of an alarm and the acceptance of staff of a command center, and timely expand emergency response teams and schedule resources to the scene to cope with the emergency;
the system comprises a monitoring module, a data acquisition module, a data processing module, an early warning module and a remote monitoring module, wherein the monitoring module, the data acquisition module, the data processing module, the early warning module and the remote monitoring module are integrated, the integrated module further comprises a man-machine interaction module, the man-machine interaction module is used for operating and managing a manager, and the integrated module can integrate a detection and early warning system with a building automatic control system, a building management system and an emergency command system, so that a more complete and intelligent system is formed;
further, the integrated module further comprises a protection module, wherein the protection module comprises software and hardware facilities with attack resistance and virus resistance, and specific implementation modes comprise a firewall, an intrusion detection and intrusion prevention system, a transmission layer security protocol, a virtual private network, security authentication and access control, security update and vulnerability restoration, security audit and log record; a firewall is one of the network security infrastructures for monitoring and controlling network traffic, preventing unauthorized access and malicious attacks, setting network rules, filtering data packets, and providing security isolation of network traffic; the intrusion detection and intrusion prevention system can monitor network traffic and system activity, identify potential intrusion behavior and take corresponding defensive measures, which can detect and prevent malicious attacks, network worms and other threats; the transmission layer security protocol is an encryption protocol for ensuring the security of data in the network transmission process, and uses an encryption algorithm to encrypt the data and provide identity verification and data integrity protection to prevent the data from being eavesdropped and tampered; the virtual private network establishes a safe private network on the public network by establishing encrypted tunnel connection, and can be used for remote access and data transmission, thereby ensuring safe transmission and privacy protection of data on the Internet; the system can adopt a multi-level security authentication mechanism and an access control strategy, for example, a strong password and multi-factor identity authentication are used for limiting the access authority of the system, and fine-granularity authority management is carried out according to the role of a user; the security update, patch and bug repair of the timely installation system and equipment are key for keeping network security, and the software, firmware and operating system are updated regularly to repair known bugs and improve the security of the system; the safety audit and log recording mechanism is established, so that the safety event and operation record of the system can be tracked and monitored, and the abnormal activity can be detected timely, the safety event investigation and the system performance analysis can be carried out;
further, embodiments of the intelligent fire detection and early warning system generally include the steps of:
target confirmation: before the construction scheme of the intelligent fire protection detection and early warning system is established, the goal of system construction needs to be defined, and a detailed system construction plan is established.
Technical framework: according to the target and specific requirements, determining the technical framework of the system, including aspects of equipment type selection, hardware architecture, software architecture and the like.
Purchasing equipment: and selecting and purchasing the required equipment and accessories according to the requirements of the technical framework.
And (3) system integration: and organically combining and coordinating all the equipment and the modules to establish a system frame.
And (3) equipment debugging: and evaluating and debugging the equipment, and ensuring the stability of the equipment.
Personnel training: the monitoring personnel and the technical personnel of the fire fighting are correspondingly trained, so that the monitoring personnel and the technical personnel are skilled in the operation and maintenance technology of the system.
Emergency drill: and (5) performing emergency exercise of the system, and checking an early warning and emergency response mechanism of the system.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present invention.
Claims (8)
1. Wisdom fire control detects and early warning system, its characterized in that includes:
the monitoring module is used for monitoring the environment;
the data acquisition module is used for determining whether fire accidents or other safety problems occur;
the data processing module is used for processing the data acquired by the data acquisition module;
the early warning mechanism is used for reminding a manager to arrange and process warning conditions;
the remote monitoring module monitors the alarm situation position by staff;
the integrated module is used for integrating the monitoring module, the data acquisition module, the data processing module, the early warning module and the remote monitoring module.
2. The intelligent fire detection and early warning system of claim 1, wherein the terminal of the monitoring module is a sensor comprising a temperature sensor, a smoke sensor, a gas sensor.
3. The intelligent fire detection and early warning system of claim 1, wherein the data acquisition module is used to assist in determining and analyzing data, and the means of the data acquisition module includes wired and wireless.
4. The intelligent fire detection and early warning system according to claim 1, wherein the early warning module comprises intelligent judging, finding and warning functions, and the early warning mode of the early warning module comprises networking, short messages and telephones.
5. The intelligent fire detection and early warning system of claim 1, wherein the remote monitoring module further comprises a command function, and the remote monitoring module works in the following manner: after the remote monitoring module finds the alarm condition, the remote monitoring module can automatically instruct the issuing of the alarm and the acceptance of staff of a command center, and the emergency response team and the scheduling resource are timely expanded to deal with the emergency on site.
6. The intelligent fire detection and early warning system of claim 1, wherein the functions of the early warning module further comprise alerting personnel in the vicinity of the fire, the alerting means comprises an alarm, an LED display and a voice prompt, the early warning module is used for starting a fire early warning mechanism and transmitting early warning information to a command center, and the early warning information comprises a fire location, a fire intensity and a fire sample.
7. The intelligent fire detection and early warning system of claim 1, wherein the integrated module further comprises a human-machine interaction module for operation and management by a manager.
8. The intelligent fire detection and early warning system of claim 1, wherein the integrated module further comprises a protection module comprising software and hardware facilities with protection against attacks and viruses.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN117407680A (en) * | 2023-12-15 | 2024-01-16 | 珠海西默电气股份有限公司 | Fire-fighting lamp remote supervision system and method based on big data |
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2023
- 2023-07-24 CN CN202310908404.XA patent/CN117079398A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117407680A (en) * | 2023-12-15 | 2024-01-16 | 珠海西默电气股份有限公司 | Fire-fighting lamp remote supervision system and method based on big data |
CN117407680B (en) * | 2023-12-15 | 2024-05-24 | 珠海西默电气股份有限公司 | Fire-fighting lamp remote supervision system and method based on big data |
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