CN111882814A - Intelligent city fire control monitored control system based on artificial intelligence - Google Patents
Intelligent city fire control monitored control system based on artificial intelligence Download PDFInfo
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- CN111882814A CN111882814A CN202010717773.7A CN202010717773A CN111882814A CN 111882814 A CN111882814 A CN 111882814A CN 202010717773 A CN202010717773 A CN 202010717773A CN 111882814 A CN111882814 A CN 111882814A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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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
- 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
- G08B25/003—Address allocation methods and details
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
Abstract
The invention discloses an artificial intelligence-based smart city fire-fighting monitoring system, which comprises a fire alarm, a water pressure detection module, a positioning module, a road condition analysis module, a video monitoring module, an information storage module, an early warning module and a rescue module, wherein the water pressure detection module is used for detecting the water pressure of a fire disaster; the fire hydrant system monitors the water pressure of the fire hydrant in a city in real time, maintains and nurses the fire hydrant of which the water pressure cannot meet the requirement, simultaneously reads the position information of the available fire hydrant on the traveling path of the rescue unit and near the fire occurrence point when a fire occurs, avoids the situation that the water pressure of the corresponding fire hydrant is insufficient or cannot be used after the rescue unit reaches the fire occurrence point, and improves the rescue efficiency of the rescue unit.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to an intelligent urban fire-fighting monitoring system based on artificial intelligence.
Background
Along with the high-speed construction of cities, the population of urban buildings and cities is dense, and the number of urban fires is also rapidly increased, so that hidden dangers are brought to urban safety;
in addition, in the prior art, when a fire occurs, the rescue unit sends an instruction to the corresponding area command center to rescue the fire, but because the fire occurrence points are scattered at the junctions of one area and a plurality of areas, and the distances between some areas and the command center are long, the rescue unit is difficult to rapidly and timely rescue when the fire occurs.
Disclosure of Invention
The invention aims to provide an intelligent urban fire-fighting monitoring system based on artificial intelligence.
The technical problems to be solved by the invention are as follows:
1. although the construction of fire hydrants is rapidly popularized, the water pressure of the fire hydrants is obviously reduced due to lack of maintenance throughout the year or due to other reasons in a certain period of time, so that fire fighters cannot use the fire hydrants to effectively extinguish fire, and the damage caused by fire is increased;
2. when a fire occurs, the rescue unit can send an instruction to rescue the fire by the corresponding regional command center, but because the fire occurrence points are scattered in one region and the junctions of a plurality of regions, the distance between part of the regions and the command center is long, and the rescue unit is difficult to rapidly and timely rescue the fire in the case of the fire.
The purpose of the invention can be realized by the following technical scheme:
the intelligent urban fire-fighting monitoring system based on artificial intelligence comprises a fire alarm, a water pressure detection module, a positioning module, a road condition analysis module, a video monitoring module, an information storage module, an early warning module and a rescue module;
the water pressure detection module is used for detecting the water pressure of the fire hydrant and transmitting the detected water pressure data of the fire hydrant to the central scheduling module, the central scheduling module monitors and analyzes the water pressure data of the fire hydrant, and when the water pressure data of one fire hydrant is less than a preset value within the detection time T within the total time T1 or less than the preset value within the continuous time T2, the corresponding fire hydrant is considered to be an inferior fire hydrant, otherwise, the corresponding fire hydrant is a normal fire hydrant;
when the central scheduling module detects the inferior fire hydrant, the central scheduling module inputs early warning information to the early warning module, transmits the position information of the corresponding fire hydrant to the early warning module and prompts the maintenance of the corresponding fire hydrant;
the fire alarm is in remote communication connection with the central scheduling module, the central scheduling module marks the fire alarm and correspondingly records position information of the fire alarm, and the fire alarm is used for detecting a fire signal on site and transmitting the fire signal to the central scheduling module after detecting the fire signal;
the road condition analysis module is used for detecting and analyzing real-time road conditions to obtain real-time road condition information and transmitting the real-time road condition information to the central scheduling module;
the central scheduling module is used for scheduling the rescue module according to information input by the fire alarm, the water pressure detection module and the road condition analysis module;
the rescue module comprises a plurality of rescue units, the rescue units are used for rescuing the fire scene, and specifically, the rescue units are fire-fighting vehicles;
the positioning module is used for positioning each rescue unit in the rescue module in real time and transmitting the real-time position information of the rescue module to the central scheduling module.
As a further scheme of the present invention, the video monitoring modules are monitoring cameras installed in various places, and when the fire alarm detects fire information, the central scheduling module reads video monitoring information shot by the monitoring cameras near a fire point according to position information corresponding to the fire alarm, stores the video monitoring information into the information storage module, monitors, backtracks and analyzes conditions near the fire point, and monitors a real-time condition of the fire point.
As a further scheme of the present invention, when the central scheduling module reads the video monitoring information of the video monitoring module, the collection range of the central scheduling module is a circular area with the fire occurrence point as a center and the radius as a preset value R.
As a further scheme of the present invention, the method for the central scheduling module to schedule the rescue module comprises:
after confirming the fire, the fire alarm transmits the fire information to the central scheduling module;
the central dispatching module is used for dispatching the video monitoring information of the video monitoring modules in the corresponding areas according to the position of the fire alarm sending alarm information, and transmitting the corresponding video monitoring information to the information storage module for storage and preservation while playing and monitoring through the man-machine interaction device;
the central scheduling module reads the position information of each rescue unit in the rescue module, marks each rescue unit as 1, 2, a.
Counting the time that the rescue units can start to execute tasks, and counting ti1, ti2, ti, and tin to obtain the time t1+ ti1, t2+ ti2, ti, and tn + tin that each rescue unit reaches the fire occurrence point most quickly, wherein the central scheduling module selects a plurality of rescue units with the shortest arrival time from the fire scene as rescue units for executing rescue tasks according to the situation of the fire scene, sends instructions to the corresponding rescue units, and sends the optimal driving route to the corresponding rescue modules;
the central dispatching module reads the water pressure of the fire hydrant on the driving path of the corresponding rescue unit and the fire hydrant within the circle range with the fire occurrence point as the center and the radius of R1, and obtains the position information of a plurality of available fire hydrants with normal water pressure, which are nearest to the fire occurrence point.
The invention has the beneficial effects that:
1. according to the fire hydrant maintenance system, the water pressure of the fire hydrant in the city is monitored in real time, the fire hydrant of which the water pressure cannot meet the requirement is maintained and nursed, meanwhile, when a fire disaster occurs, the position information of the available fire hydrant on the traveling path of the rescue unit and near the fire disaster occurrence point is read, so that the rescue unit can supplement water or perform pipeline connection at the point closest to the fire disaster point, the situation that the corresponding fire hydrant is insufficient in water pressure or cannot be used after the rescue unit reaches the fire disaster occurrence point is avoided, the rescue efficiency of the rescue unit is improved, and the influence of the damage to the fire hydrant on a rescue task is avoided;
2. according to the invention, by monitoring the real-time position of the rescue unit, when a fire occurs, the rescue unit is reasonably arranged to go to the fire occurrence point for rescue according to the position of the rescue unit, so that the time consumed by the rescue unit on the driving road is reduced, and the rescue efficiency is improved.
Drawings
The invention is described in further detail below with reference to the figures and specific embodiments.
Fig. 1 is a schematic diagram of a system structure of an intelligent urban fire monitoring system based on artificial intelligence according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
An artificial intelligence-based intelligent urban fire-fighting monitoring system is shown in figure 1 and comprises a fire alarm, a water pressure detection module, a positioning module, a road condition analysis module, a video monitoring module, an information storage module, an early warning module and a rescue module;
the water pressure detection module is used for detecting the water pressure of the fire hydrant and transmitting the detected water pressure data of the fire hydrant to the central scheduling module, the central scheduling module monitors and analyzes the water pressure data of the fire hydrant, and when the water pressure data of one fire hydrant is less than a preset value within the detection time T within the total time T1 or less than the preset value within the continuous time T2, the corresponding fire hydrant is considered to be an inferior fire hydrant, otherwise, the corresponding fire hydrant is a normal fire hydrant;
when the central scheduling module detects the inferior fire hydrant, the central scheduling module inputs early warning information to the early warning module, transmits the position information of the corresponding fire hydrant to the early warning module, and prompts a worker to maintain the corresponding fire hydrant;
the fire alarm is in remote communication connection with the central scheduling module, the central scheduling module marks the fire alarm and correspondingly records position information of the fire alarm, and the fire alarm is used for detecting a fire signal on site and transmitting the fire signal to the central scheduling module after detecting the fire signal;
the road condition analysis module is used for detecting and analyzing real-time road conditions to obtain real-time road condition information and transmitting the real-time road condition information to the central scheduling module;
the central scheduling module is used for scheduling the rescue module according to information input by the fire alarm, the water pressure detection module and the road condition analysis module;
the rescue module comprises a plurality of rescue units, the rescue units are used for rescuing the fire scene, and specifically, the rescue units are fire-fighting vehicles;
the video monitoring modules are monitoring cameras installed in various places, when the fire alarm detects fire information, the central scheduling module reads the video monitoring information shot by the monitoring cameras near a fire point according to the position information corresponding to the fire alarm and stores the video monitoring information into the information storage module, so that workers can conveniently monitor, backtrack and analyze the conditions near the fire point and monitor the real-time condition of the fire point, the central scheduling module can accurately make judgment according to the real-time condition of the fire, and the rescue modules are reasonably distributed;
when the central scheduling module reads the video monitoring information of the video monitoring module, the acquisition range of the central scheduling module is a circle with a fire occurrence point as a center and a radius as a preset value R;
the positioning module is used for positioning each rescue unit in the rescue module in real time and transmitting the real-time position information of the rescue module to the central scheduling module;
the method for dispatching the rescue module by the central dispatching module comprises the following steps:
after confirming the fire, the fire alarm transmits the fire information to the central scheduling module;
the central dispatching module is used for dispatching the video monitoring information of the video monitoring modules in the corresponding areas according to the position of the fire alarm sending alarm information, and transmitting the corresponding video monitoring information to the information storage module for storage and preservation while playing and monitoring through the man-machine interaction device;
the central scheduling module reads the position information of each rescue unit in the rescue module, marks each rescue unit as 1, 2, a.
Counting the time that the rescue units can start to execute tasks, and counting ti1, ti2, ti, and tin to obtain the time t1+ ti1, t2+ ti2, ti, and tn + tin that each rescue unit reaches the fire occurrence point most quickly, wherein the central scheduling module selects a plurality of rescue units with the shortest arrival time from the fire scene as rescue units for executing rescue tasks according to the situation of the fire scene, sends instructions to the corresponding rescue units, and sends the optimal driving route to the corresponding rescue modules;
the central scheduling module reads the fire hydrant on the driving path of the corresponding rescue unit and the water pressure of the fire hydrant within the circle range with the fire occurrence point as the center of a circle and the radius of R1, and obtains the position information of a plurality of available fire hydrants with normal water pressure closest to the fire occurrence point, so that the rescue unit can conveniently take water at the place as close as possible to the fire occurrence point, the situation that the rescue unit cannot take water near the fire occurrence point is avoided, and the rescue efficiency is improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. The intelligent urban fire-fighting monitoring system based on artificial intelligence is characterized by comprising a fire alarm, a water pressure detection module, a positioning module, a road condition analysis module, a video monitoring module, an information storage module, an early warning module and a rescue module;
the water pressure detection module is used for detecting the water pressure of the fire hydrant and transmitting the detected water pressure data of the fire hydrant to the central scheduling module, the central scheduling module monitors and analyzes the water pressure data of the fire hydrant, and when the water pressure data of one fire hydrant is less than a preset value within the detection time T within the total time T1 or less than the preset value within the continuous time T2, the corresponding fire hydrant is considered to be an inferior fire hydrant, otherwise, the corresponding fire hydrant is a normal fire hydrant;
when the central scheduling module detects the inferior fire hydrant, the central scheduling module inputs early warning information to the early warning module, transmits the position information of the corresponding fire hydrant to the early warning module and prompts the maintenance of the corresponding fire hydrant;
the fire alarm is in remote communication connection with the central scheduling module, the central scheduling module marks the fire alarm and correspondingly records position information of the fire alarm, and the fire alarm is used for detecting a fire signal on site and transmitting the fire signal to the central scheduling module after detecting the fire signal;
the road condition analysis module is used for detecting and analyzing real-time road conditions to obtain real-time road condition information and transmitting the real-time road condition information to the central scheduling module;
the central scheduling module is used for scheduling the rescue module according to information input by the fire alarm, the water pressure detection module and the road condition analysis module;
the rescue module comprises a plurality of rescue units, the rescue units are used for rescuing the fire scene, and specifically, the rescue units are fire-fighting vehicles;
the positioning module is used for positioning each rescue unit in the rescue module in real time and transmitting the real-time position information of the rescue module to the central scheduling module.
2. The intelligent city fire-fighting monitoring system based on artificial intelligence of claim 1, wherein the video monitoring modules are monitoring cameras installed in various places, when the fire alarm device detects fire information, the central scheduling module reads the video monitoring information shot by the monitoring cameras near the fire point according to the position information corresponding to the fire alarm device, stores the video monitoring information into the information storage module, monitors, backtracks and analyzes the conditions near the fire point, and monitors the real-time conditions of the fire point.
3. The intelligent city fire-fighting monitoring system based on artificial intelligence of claim 2, wherein the central scheduling module is configured to collect the video monitoring information of the video monitoring module within a circular area with a fire point as the center and a radius of a preset value R.
4. The intelligent city fire monitoring system based on artificial intelligence of claim 1, wherein the central scheduling module schedules the rescue module by:
after confirming the fire, the fire alarm transmits the fire information to the central scheduling module;
the central dispatching module is used for dispatching the video monitoring information of the video monitoring modules in the corresponding areas according to the position of the fire alarm sending alarm information, and transmitting the corresponding video monitoring information to the information storage module for storage and preservation while playing and monitoring through the man-machine interaction device;
the central scheduling module reads the position information of each rescue unit in the rescue module, marks each rescue unit as 1, 2, a.
Counting the time that the rescue units can start to execute tasks, and counting ti1, ti2, ti, and tin to obtain the time t1+ ti1, t2+ ti2, ti, and tn + tin that each rescue unit reaches the fire occurrence point most quickly, wherein the central scheduling module selects a plurality of rescue units with the shortest arrival time from the fire scene as rescue units for executing rescue tasks according to the situation of the fire scene, sends instructions to the corresponding rescue units, and sends the optimal driving route to the corresponding rescue modules;
the central dispatching module reads the water pressure of the fire hydrant on the driving path of the corresponding rescue unit and the fire hydrant within the circle range with the fire occurrence point as the center and the radius of R1, and obtains the position information of a plurality of available fire hydrants with normal water pressure, which are nearest to the fire occurrence point.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112419657A (en) * | 2020-11-20 | 2021-02-26 | 中国科学技术大学智慧城市研究院(芜湖) | Urban fire-fighting monitoring system |
| CN113744108A (en) * | 2021-11-04 | 2021-12-03 | 聊城中赛电子科技有限公司 | Intelligent fire control method and system based on big data |
| CN115526371A (en) * | 2021-07-19 | 2022-12-27 | 中核利华消防工程有限公司 | Method and device for quickly positioning fire hydrant, electronic equipment and storage medium |
| CN115933427A (en) * | 2023-02-28 | 2023-04-07 | 协同安全科技(深圳)有限公司 | Home security linkage handling method, device, equipment and storage medium |
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