CN116036536A - Intelligent fire control system and method based on big data - Google Patents
Intelligent fire control system and method based on big data Download PDFInfo
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- CN116036536A CN116036536A CN202211690680.5A CN202211690680A CN116036536A CN 116036536 A CN116036536 A CN 116036536A CN 202211690680 A CN202211690680 A CN 202211690680A CN 116036536 A CN116036536 A CN 116036536A
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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
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C31/00—Delivery of fire-extinguishing material
- A62C31/02—Nozzles specially adapted for fire-extinguishing
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C31/00—Delivery of fire-extinguishing material
- A62C31/28—Accessories for delivery devices, e.g. supports
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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
- G08B25/001—Alarm cancelling procedures or alarm forwarding decisions, e.g. based on absence of alarm confirmation
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Health & Medical Sciences (AREA)
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Fire Alarms (AREA)
Abstract
The invention discloses an intelligent fire control system based on big data, which comprises a cloud platform, a fire monitoring terminal and a community management platform, wherein the fire monitoring terminal and the community management platform are connected with each other; according to the invention, the fire source in the detection area of the family is monitored through the fire source detection module and the heat source trend monitoring module, when the fire source is provided and the development trend of the fire source is enlarged, the district management platform is used for informing district management personnel of verifying the fire condition, and according to the district management personnel verification condition, whether to inform the fire alarm is selected, so that the alarm can be accurately given, and the false alarm is reduced.
Description
Technical Field
The invention belongs to the technical field of district intelligent fire control, and relates to an intelligent fire control system and method based on big data.
Background
With the development of social economy and the increase of population, high-rise civil buildings become the mainstream of urban living and offices, and fire alarm systems are usually arranged in places with high fire hazard, dense personnel and the like in the high-rise buildings. At present, a fire extinguishing nozzle which is commonly and practically combined with a smoke alarm is used for smoke alarm, and carbon dioxide or water is sprayed out through the fire extinguishing nozzle for fire extinguishing.
Currently, in the fire-fighting facilities of a community, fire hydrants or fire extinguishers are usually arranged on each layer, when a fire occurs, the fire hydrants or fire extinguishers are used for putting out the fire, but the fire cannot be timely alarmed and put out under the condition of no people at home. Furthermore, the conventional smoke alarm and fire extinguishing nozzle can cause the smoke alarm to alarm even if small particulate matters (such as kitchen and baking) are generated in household activities, and false alarm is generated, so that the smoke alarm and fire extinguishing nozzle is not suitable for being used in various families of a community.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent fire control system and method based on big data, which well solve the problems that fire alarm and smoke alarm in a community family cannot be timely used in the prior art and are not suitable for families.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: the intelligent fire control system based on big data comprises a cloud platform, a fire control monitoring terminal and a community management platform, wherein the fire control monitoring terminal and the community management platform are connected with the cloud platform, and the fire control monitoring terminal is connected with an emergency treatment device;
the fire-fighting monitoring terminal comprises a controller, a fire source detection module and a heat source trend monitoring module, wherein the fire source detection module is electrically connected with the controller, the fire source detection module is used for transmitting fire source information in a monitoring area to the cloud platform through the controller, and the heat source trend monitoring module is used for transmitting development trend information of the fire source in the monitoring area to the cloud platform after the cloud platform receives the fire source information;
the emergency treatment device comprises a fire extinguishing pipeline arranged in a monitoring area, an electric valve connected to the fire extinguishing pipeline and a fire extinguishing storage device connected with the fire extinguishing pipeline, wherein the electric valve is connected with the controller, and the controller controls the switch of the electric valve so that fire extinguishing medium in the fire extinguishing storage device is sprayed out of the fire extinguishing pipeline to emergently extinguish a fire source in the monitoring area;
the community management platform comprises a server, and a warning module, a control module and an alarm notification module which are connected with the server, wherein when the cloud platform judges that the development of a fire source in a monitoring area has an expanding trend, the server controls the warning module to send out warning information, the alarm notification module is used for a community manager to send out fire alarm information to the cloud platform, and the control module can control the working states of the alarm notification module and the warning module;
the cloud platform is provided with a database, a line planning module and a fire alarm notification module, wherein the database is stored with road information, position information of a monitoring area and fire information, and the cloud platform can be used for calling the information in the database, planning an optimal alarm route through the line planning module and sending the optimal alarm route to a fire alarm together with the fire alarm notification module.
Further, the fire control monitoring terminal further comprises a smoke sensing monitoring module connected with the controller, the smoke sensing monitoring module monitors smoke in the monitoring area in real time, and periodically feeds back smoke detection information of the monitoring area to the controller.
Further, when the smoke detection monitoring module waits for the heat source trend monitoring module to send out the development of the fire source to the cloud platform through the controller to be an expansion trend, the controller controls the detection period of the smoke detection monitoring module to be shortened.
Further, the cloud platform further comprises a smoke detection trend prediction module, and a simulation curve is formed for smoke detection information in a plurality of detection periods of the smoke detection monitoring module.
Furthermore, the fire monitoring terminal further comprises an information editing module, and the position information of the fire monitoring terminal can be edited through the information editing module and uploaded to a database in the cloud platform through the controller.
Further, one fire source detection module, one heat source trend monitoring module and one smoke sensing monitoring module are a group of comprehensive monitoring units, a plurality of groups of comprehensive monitoring units are arranged in a monitoring area, a plurality of fire extinguishing pipelines and electric valves which are connected to the fire extinguishing storage equipment in parallel are arranged in the monitoring area, and each group of comprehensive monitoring units is provided with a plurality of electric valves correspondingly.
Further, the controller is connected with a first communication module, the server is connected with a first receiving module matched with the first communication module, the server is connected with a second communication module, and the cloud platform is connected with a second receiving module connected with the second communication module.
Further, the fire source detection module, the heat source trend monitoring module, the smoke sensing monitoring module and the electric valve are all connected with a heartbeat feedback unit, and the server is connected with a display module.
The invention also describes an intelligent fire control method based on big data, which comprises the intelligent fire control system based on big data and further comprises the following steps:
s1: acquiring fire source information in a monitoring area through a fire source detection module, and calling a heat source trend monitoring module to monitor the trend of the fire source through the fire source information by the cloud platform;
s2: if the development of the fire source has an expanding trend, the cloud platform sends an instruction to the server and the controller, and the server informs a district manager through the warning module and judges whether the fire occurs or not in an emergency way by the district manager; if a fire occurs, a community manager sends fire alarm information to the cloud platform through an alarm notification module; if no fire occurs, the community manager cancels the warning information of the warning module through the control module;
s3: when the cloud platform receives the fire alarm information, the cloud platform calls the information of the database and sends out an optimal alarm-giving route to a fire alarm through the line planning module; meanwhile, the cloud platform opens the electric valve through the controller to carry out emergency fire suppression on the fire sources in the monitored area.
Further, in step S2, the controller monitors smoke in the monitoring trend through the smoke sensing monitoring module, and feeds the smoke back to the cloud platform through the controller, the cloud platform forms a simulation curve through the smoke sensing trend prediction module, and judges the fire form in advance according to the simulation curve, and feeds the fire form back to the fire alarm through the cloud platform in real time.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the fire source in the detection area of the family is monitored through the fire source detection module and the heat source trend monitoring module, when the fire source is provided and the development trend of the fire source is judged to be enlarged, a district manager is informed to verify the fire condition through the district management platform, and whether to inform the fire alarm is selected according to the verification condition of the district manager, so that an alarm can be accurately given, and the false alarm is reduced;
in the invention, a community manager judges that fire is real-time, and the emergency treatment device can timely put out the fire in a monitoring area of a family; the fire behavior of the monitoring area can be monitored in real time through the fire source detection module, the heat source trend monitoring module and the smoke sensing monitoring module, and the fire behavior is notified through the cloud platform, so that the fire behavior of the scene can be rapidly processed when the fire behavior is felt, and the loss is reduced;
according to the invention, the fire source detection module, the heat source trend monitoring module, the smoke sensing monitoring module and the electric valve can be fed back to the controller through the heartbeat feedback unit, the heartbeat signal is fed back to the server by the controller, and finally whether the fire source detection module, the heat source trend monitoring module, the smoke sensing monitoring module and the electric valve are on line or not is displayed on the display module, so that the workload of inspection is reduced.
Drawings
FIG. 1 is a block diagram of the overall principle of the invention;
FIG. 2 is a schematic block diagram of a fire monitoring terminal according to the present invention;
fig. 3 is a schematic block diagram of a cell management platform according to the present invention;
fig. 4 is a schematic block diagram of a cloud platform according to the present invention.
In the figure: 1-a cloud platform; 2-a fire monitoring terminal; 3-a cell management platform; 4-a fire suppression pipeline; 5-an electric valve; 6-fire extinguishing storage device; 101-a database; 102-a line planning module; 103-a fire alarm notification module; 104, a smoke tendency prediction module; 105-a heat source trend prediction module; 201-a controller; 202-a fire source detection module; 203-a heat source trend monitoring module; 204-a smoke detection module; 205-an information editing module; 301-a server; 302-an alarm module; 303-a control module; 304-an alarm notification module; 305-display module.
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.
As shown in fig. 1-4, the intelligent fire control system based on big data comprises a cloud platform 1, a fire monitoring terminal 2 and a cell management platform 3, wherein the fire monitoring terminal 2 is connected with the cloud platform 1, the cell management platform 3 is connected with the fire monitoring terminal 2, and an emergency treatment device is connected with the fire monitoring terminal 2;
in this embodiment, the fire monitoring terminal 2 includes a controller 201, a fire source detection module 202 electrically connected to the controller 201, and a heat source trend monitoring module 203, where the fire source detection module 202 transmits fire source information in a monitoring area to the cloud platform 1 through the controller 201, and the heat source trend monitoring module 203 transmits development trend information of the fire source in the monitoring area to the cloud platform 1 after the cloud platform 1 receives the fire source information; and the cloud platform 1 is provided with a heat source trend prediction module 105; the specific fire source detection module 202 can adopt an infrared fire source detector, and can detect fire sources with the size of 0.05mX0.05mand above in the monitored area; the heat source trend monitoring module 203 adopts a thermal imaging device, the detection period of the heat source trend monitoring module 203 is set through the controller 201, 1 time/1 s-0.1s can be set, and the controller 201 can upload the detection data of the fire source detection module 202 and the heat source trend monitoring module 203 to the cloud platform 1; when the fire source detection module 202 and the heat source trend monitoring module 203 are linked, the cloud platform 1 receives information sent by the fire source detection module 202, then the cloud platform 1 calls the heat source trend monitoring module 203 through the controller 201, monitors a target fire source, and uploads detection information of a plurality of periods to the cloud platform 1 through the controller 201, the heat source trend prediction module 105 in the cloud platform 1 calculates the area of the fire source after thermal imaging, and if the area of the fire source is continuously increased and exceeds the threshold value set by the heat source trend prediction module 105, the cloud platform 1 sends warning information to the community management platform 3; if the area of the fire source is not continuously increased or the area of the fire source does not exceed the set threshold value of the heat source trend prediction module 105, the cloud platform 1 does not send out warning information to the community management platform 3;
the fire source detection module 202 and the heat source trend monitoring module 203 in the fire-fighting monitoring terminal 2 can filter out fire sources, baking boxes, water boiling kettles and other small electric heat sources of a kitchen cooking bench in family activities, so that false alarms on some fire sources in family activities are avoided, and the monitoring accuracy is improved; and the privacy of family use can be ensured by adopting the fire source detection module 202 and the heat source trend monitoring module 203, and the leakage of family life caused by adopting the camera for monitoring is avoided.
In this embodiment, the cell management platform 3 includes a server 301, and a warning module 302, a control module 303, and an alarm notification module 304 connected to the server 301, where when the cloud platform 1 determines that the development of the fire source in the monitored area has an expansion trend, the cloud platform 1 will send warning information, such as a short message, a sound alert, etc., to the cell management platform 3, and the server 301 controls the warning module 302 to send warning information, so that a cell manager confirms the fire source condition and confirms whether a fire occurs; if the fire is confirmed, the community manager sends out fire alarm information to the cloud platform 1 through the alarm notification module 304, sends out an emergency processing instruction to the controller 201 through the control module 303, and performs emergency rescue on the fire source, so that loss caused by the fire is reduced; if no fire is confirmed, the control module 303 cancels the warning information of the warning module 302;
in this embodiment, the emergency treatment device includes a fire extinguishing pipe 4 installed in the monitoring area, an electric valve 5 connected to the fire extinguishing pipe 4, and a fire extinguishing storage device 6 connected to the fire extinguishing pipe 4, where the electric valve 5 is connected to the controller 201, and the controller 201 controls the switch of the electric valve 5 so that the fire extinguishing medium in the fire extinguishing storage device 6 is sprayed from the fire extinguishing pipe 4 to emergently extinguish the fire source in the monitoring area; when a district manager confirms that a fire occurs, the controller 201 controls the electric valve 5 to open so that the fire extinguishing medium carbon dioxide or dry powder in the fire extinguishing storage device 6 is sprayed out of the fire extinguishing pipeline 4;
in this embodiment, the cloud platform 1 includes a database 101, a line planning module 102 and a fire alarm notification module 103, where the database 101 stores road information, location information of a monitored area, fire information and the like, and the cloud platform 1 can retrieve the information in the database 101, plan an optimal alarm route through the line planning module 102, and send the optimal alarm route to a fire alarm along with the fire alarm notification module 103, so that the fire alarm can rapidly process the fire on site when feeling on site, and loss is reduced.
Preferably, the fire-fighting monitoring terminal 2 further comprises a smoke-sensing monitoring module 204 connected with the controller 201, the smoke-sensing monitoring module 204 monitors smoke in the monitoring area in real time, and periodically feeds back smoke detection information of the monitoring area to the controller 201, and the detection period of the smoke-sensing monitoring module 204 is set through the controller 201, and can be set for 1/3 s-10s; further, when the smoke detection module 204 sends out the development of the fire source to the cloud platform 1 through the controller 201 and the development trend of the fire source is enlarged, the controller 201 controls the detection period of the smoke detection module 204 to be 1 time/0.5 s-2s, the cloud platform 1 further comprises the smoke detection trend prediction module 104, the smoke detection module 204 uploads the smoke detection information in a plurality of detection periods to the cloud platform 1 through the controller 201, the smoke detection trend prediction module 104 carries out simulation curve fitting on a plurality of smoke detection information, the fire form is judged in advance according to the simulation curve, and the fire is fed back to the fire through the fire notification module 103 in the cloud platform 1 in real time, so that the fire can grasp the fire running in advance and fire extinguishing measures are taken in advance according to the fire form.
Preferably, the fire protection detection terminal further comprises an information editing module 205, and the information editing module 205 can edit the position information of the fire protection detection terminal 2 and upload the position information to the database 101 in the cloud platform 1 through the controller 201; specifically, the information editing module 205 may edit a specific cell name, a unit number, a building, a floor and a room number of the fire monitor terminal 2, store information into the server 301 and the database 101 of the cloud platform 1, and when judging that a fire occurs, the cloud platform 1 may send the position information of the fire monitor terminal 2 to a fire alarm.
Preferably, one of the fire source detection modules 202, one of the heat source trend monitoring modules 203 and one of the smoke detection monitoring modules 204 are a group of comprehensive monitoring units, a plurality of groups of comprehensive monitoring units are arranged in a monitoring area, a plurality of fire extinguishing pipelines 4 and electric valves 5 which are connected to the fire extinguishing storage device 6 in parallel are arranged in the monitoring area, each group of comprehensive monitoring units corresponds to a plurality of electric valves 5, the fire extinguishing pipelines 4 are arranged at the top end of the monitoring area and are not hidden at the edge of a suspended ceiling, and a plurality of spray heads are arranged on the fire extinguishing pipelines 4, so that the coverage of the monitoring area can be realized; the spray head adopts a hidden spray head, so that the spray head is more attractive after being installed.
Preferably, the controller 201 is connected with a first communication module, the server 301 is connected with a second communication module, and the cloud platform 1 is connected with a third communication module, so as to realize wireless communication among the controller 201, the server 301 and the cloud platform 1.
Preferably, the fire source detection module 202, the heat source trend monitoring module 203, the smoke detection module 204 and the electric valve 5 are all connected with a heartbeat feedback unit, the server 301 is connected with a display module 305, the heartbeat feedback module periodically feeds back the online states of the fire source detection module 202, the heat source trend monitoring module 203 and the smoke detection module 204, and the heartbeat signal of the controller 201 is fed back to the server 301, and finally whether the fire source detection module 202, the heat source trend monitoring module 203, the smoke detection module 204 and the electric valve 5 are online or not is displayed on the display module 305, so that the workload of inspection is reduced. Furthermore, the controller 201 is connected with a voltage detection circuit, the voltage detection circuit is connected with a power module, the voltage detection circuit can detect the controlled voltage, and under the condition of power failure, the power module can be used for supplying power, so that the reliability of use is improved.
According to the invention, the cloud platform 1 analyzes the frequency, the size and the number of fire sources existing in each family activity according to a large amount of monitored fire source information data stored in the activities of the families, judges the activity frequency of each family, and further optimizes the detection frequency and the alarm threshold of the fire source detection module 202, the heat source trend monitoring module 203 and the smoke detection module 204 in each family according to the characteristics of the large data, so that the situation that different families alarm too sensitively or duly due to unified detection frequency and alarm threshold is avoided.
The invention also describes an intelligent fire control system based on big data, which comprises the following steps:
s1: acquiring fire source information in a monitoring area through a fire source detection module 202, and calling a heat source trend monitoring module 203 to monitor the trend of the fire source through the fire source information by the cloud platform 1;
s2: if the development of the fire source has an expanding trend, the cloud platform 1 sends an instruction to the server 301 and the controller 201, the server 301 informs a district manager through the warning module 302, and the district manager emergently judges whether the fire occurs or not; if a fire occurs, the community manager sends out fire alarm information to the cloud platform 1 through the alarm notification module 304; if no fire occurs, the cell manager cancels the warning information of the warning module 302 through the control module 303;
s3: when the cloud platform 1 receives the fire alarm information, the cloud platform 1 calls the information of the database 101 and sends out an optimal alarm-giving route to a fire alarm through the line planning module 102; meanwhile, the cloud platform 1 opens the electric valve 5 through the controller 201 to emergently extinguish the fire source in the monitored area.
Preferably, in step S2, the controller 201 monitors the smoke in the monitoring trend through the smoke detection module 204, and feeds back the smoke to the cloud platform 1 through the controller 201, the cloud platform 1 forms a simulation curve through the smoke detection trend prediction module 104, and judges the fire form in advance according to the simulation curve, and feeds back the fire alarm through the cloud platform 1 in real time.
Although the present invention has been described 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 and changes may be made without departing from the spirit and principles of the present invention.
Claims (10)
1. An wisdom fire control system based on big data, its characterized in that: the fire control system comprises a cloud platform, a fire control monitoring terminal and a community management platform, wherein the fire control monitoring terminal and the community management platform are connected with each other, and the fire control monitoring terminal is connected with an emergency treatment device;
the fire-fighting monitoring terminal comprises a controller, a fire source detection module and a heat source trend monitoring module, wherein the fire source detection module is electrically connected with the controller, the fire source detection module is used for transmitting fire source information in a monitoring area to the cloud platform through the controller, and the heat source trend monitoring module is used for transmitting development trend information of the fire source in the monitoring area to the cloud platform after the cloud platform receives the fire source information;
the emergency treatment device comprises a fire extinguishing pipeline arranged in a monitoring area, an electric valve connected to the fire extinguishing pipeline and a fire extinguishing storage device connected with the fire extinguishing pipeline, wherein the electric valve is connected with the controller, and the controller controls the switch of the electric valve so that fire extinguishing medium in the fire extinguishing storage device is sprayed out of the fire extinguishing pipeline to emergently extinguish a fire source in the monitoring area;
the community management platform comprises a server, and a warning module, a control module and an alarm notification module which are connected with the server, wherein when the cloud platform judges that the development of a fire source in a monitoring area has an expanding trend, the server controls the warning module to send out warning information, the alarm notification module is used for a community manager to send out fire alarm information to the cloud platform, and the control module can control the working states of the alarm notification module and the warning module;
the cloud platform is provided with a database, a line planning module and a fire alarm notification module, wherein the database is stored with road information, position information of a monitoring area and fire information, and the cloud platform can be used for calling the information in the database, planning an optimal alarm route through the line planning module and sending the optimal alarm route to a fire alarm together with the fire alarm notification module.
2. The big data based intelligent fire control system of claim 1, wherein: the fire control monitoring terminal also comprises a smoke sensing monitoring module connected with the controller, wherein the smoke sensing monitoring module monitors smoke in the monitoring area in real time and feeds back smoke detection information of the monitoring area to the controller regularly.
3. The big data based intelligent fire control system of claim 2, wherein: and when the smoke detection monitoring module waits for the heat source trend monitoring module to send out the development of the fire source to the cloud platform through the controller to be an expansion trend, the controller controls the detection period of the smoke detection monitoring module to be shortened.
4. The big data based intelligent fire control system of claim 3, wherein: the cloud platform further comprises a smoke sense trend prediction module, and a simulation curve is formed on smoke detection information in a plurality of detection periods of the smoke sense monitoring module.
5. The big data based intelligent fire control system of claim 1, wherein: the fire control monitoring terminal also comprises an information editing module, and the position information of the fire control monitoring terminal can be edited through the information editing module and uploaded to a database in the cloud platform through the controller.
6. The big data based intelligent fire control system of claim 1, wherein: the fire source detection module, the heat source trend monitoring module and the smoke sensing monitoring module are a group of comprehensive monitoring units, a plurality of groups of comprehensive monitoring units are arranged in a monitoring area, a plurality of fire extinguishing pipelines and electric valves which are connected to the fire extinguishing storage equipment in parallel are arranged in the monitoring area, and each group of comprehensive monitoring units is provided with a plurality of electric valves correspondingly.
7. The big data based intelligent fire control system of claim 1, wherein: the controller is connected with a first communication module, the server is connected with a first receiving module matched with the first communication module, the server is connected with a second communication module, and the cloud platform is connected with a second receiving module connected with the second communication module.
8. The big data based intelligent fire control system of claim 1, wherein: the fire source detection module, the heat source trend monitoring module, the smoke sensing monitoring module and the electric valve are all connected with a heartbeat feedback unit, and the server is connected with a display module.
9. An intelligent fire control method based on big data is characterized in that: the intelligent fire control system based on big data of claim 1, further comprising the steps of:
s1: acquiring fire source information in a monitoring area through a fire source detection module, and calling a heat source trend monitoring module to monitor the trend of the fire source through the fire source information by the cloud platform;
s2: if the development of the fire source has an expanding trend, the cloud platform sends an instruction to the server and the controller, and the server informs a district manager through the warning module and judges whether the fire occurs or not in an emergency way by the district manager; if a fire occurs, a community manager sends fire alarm information to the cloud platform through an alarm notification module; if no fire occurs, the community manager cancels the warning information of the warning module through the control module;
s3: when the cloud platform receives the fire alarm information, the cloud platform calls the information of the database and sends out an optimal alarm-giving route to a fire alarm through the line planning module; meanwhile, the cloud platform opens the electric valve through the controller to carry out emergency fire suppression on the fire sources in the monitored area.
10. The intelligent fire control method based on big data according to claim 9, wherein: in the step S2, the controller monitors smoke in the monitoring trend through the smoke sensing monitoring module, and feeds the smoke back to the cloud platform through the controller, the cloud platform forms a simulation curve through the smoke sensing trend prediction module, judges the fire form in advance according to the simulation curve, and feeds the fire form back to the fire alarm through the cloud platform in real time.
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| CN202211690680.5A CN116036536A (en) | 2022-12-27 | 2022-12-27 | Intelligent fire control system and method based on big data |
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| CN202211690680.5A CN116036536A (en) | 2022-12-27 | 2022-12-27 | Intelligent fire control system and method based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116366696A (en) * | 2023-06-02 | 2023-06-30 | 威海海洋职业学院 | Fire information sharing method, system and storage medium based on Internet of things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116366696A (en) * | 2023-06-02 | 2023-06-30 | 威海海洋职业学院 | Fire information sharing method, system and storage medium based on Internet of things |
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