CN113689701A - Fire-fighting alarm-giving linkage system and method based on big data - Google Patents
Fire-fighting alarm-giving linkage system and method based on big data Download PDFInfo
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- CN113689701A CN113689701A CN202111010027.5A CN202111010027A CN113689701A CN 113689701 A CN113689701 A CN 113689701A CN 202111010027 A CN202111010027 A CN 202111010027A CN 113689701 A CN113689701 A CN 113689701A
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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
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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
- G08G1/0125—Traffic data processing
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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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
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Abstract
The invention discloses a fire-fighting alarm-out linkage system and method based on big data, which comprises the following steps: the system comprises a fire alarm server, a management server, a road information acquisition module, a positioning module, a sound prompt module, a portable terminal and a vehicle-mounted terminal; through collecting and analyzing the road condition information of the residential area or the urban village in advance, the management server can plan an optimal route according to the road condition information immediately after receiving the police-out information of the fire alarm server, and the road information is continuously collected by the road information collection module, and the management personnel or security personnel are informed through a voice prompt mode or are informed to go to the site for processing in time, so that the route is ensured to be kept smooth, the fire truck is ensured to pass through smoothly under the condition of no parking, and the rescue efficiency of the fire truck is improved.
Description
Technical Field
The invention relates to the technical field of traffic management, in particular to a fire-fighting alarm-giving linkage system and method based on big data.
Background
In recent years, the number of private cars is increasing, but the planning and construction speed of roads is far lower than the increase speed of the private car holding quantity, which causes traffic jam on the roads to easily occur, especially in the time of traveling peak. Road congestion brings troubles for fire fighting police, and after the police are in a warning condition, the fire truck cannot reach a destination in time for rescue due to traffic congestion, so that serious consequences can be caused. In the prior art, the large data is used for planning the driving route of the fire fighting truck, so that the fire fighting truck is prevented from driving into a congested road, and the display of traffic lights and the form of prompting social vehicles by sound can be changed to enable the fire fighting truck to pass preferentially. However, the method only considers urban roads, does not plan the road conditions in the cell or the urban villages well, and is more complex and changeable, and more likely to cause congestion.
Disclosure of Invention
The invention aims to provide a fire fighting alarm linkage system and method based on big data, which can acquire and analyze road conditions in a residential area or a rural area, calculate a line with the minimum congestion probability as an optimal line according to the previous road condition information, monitor the road condition of the road in real time, and timely process possible congestion so as to ensure that a fire fighting truck can smoothly pass through the system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a fire-fighting alarm-giving linkage system based on big data comprises a fire-fighting alarm server, a management server, a road information acquisition module, a positioning module, a voice prompt module, a portable terminal and a vehicle-mounted terminal;
the fire alarm server is used for receiving alarm information, sending alarm information to the management server, receiving data uploaded by the management server and receiving position information uploaded by the positioning module;
the management server is used for receiving the road information acquired by the road information acquisition module, storing and analyzing the received road information; after receiving the alarm information, planning an optimal route according to the road information, forming a map and sending the map to the fire-fighting alarm server, and simultaneously controlling the sound prompt module and the portable terminal to operate;
the road information acquisition module is used for acquiring road information and uploading the road information to the management server;
the positioning module is used for acquiring real-time position information of the fire fighting truck and uploading the real-time position information to the fire fighting alarm server;
the voice prompt module is used for receiving the instruction sent by the fire alarm server and sending a voice prompt;
the portable terminal is used for prompting a manager or a security guard to go to a target place to maintain traffic;
the vehicle-mounted terminal is used for receiving the map transmitted by the fire-fighting alarm server and displaying the map;
furthermore, the acquired road information comprises the congestion condition of each road, whether an emergency occurs or not and whether the road is repaired or not, and the driving route of the fire fighting truck is conveniently planned.
Further, the method for judging the congestion condition of each road comprises the following steps: the method comprises the following steps that a camera arranged at each road intersection collects road conditions in real time, face detection is carried out on collected images, a counting module counts the number of detected faces, the counted value is compared with a set threshold value, and if the number of detected faces is larger than the threshold value, people are judged to be difficult to evacuate; and if the number of the people is less than the threshold value, determining that the crowd is easy to evacuate.
Further, the method for judging whether the burst condition occurs comprises the following steps: the camera arranged on each road collects road conditions in real time, the collected road condition information is analyzed, whether articles appear on the road or not is judged, whether the articles are not removed within preset time or not is judged, and if yes, the fire fighting truck is judged to be difficult to pass through; if not, the fire engine is judged to be accessible.
Further, the portable terminal is a mobile phone or an interphone, the carrier of the portable terminal is a manager or a security guard in a cell or a village in a city, and the manager and the security guard are familiar with the route of the cell or the village in the city, so that the portable terminal can reach a target road in time.
Further, the positioning module and the vehicle-mounted terminal are arranged on the fire fighting truck.
A fire-fighting alarm-giving linkage method based on big data comprises the following steps:
step S1: the road information acquisition module acquires road information and uploads the acquired data to the management server, and the management server stores and analyzes the received road information;
step S2: after receiving the alarm distress signal, the fire-fighting alarm server determines a cell or a village in the city through which the fire-fighting truck passes according to the provided position information, and sends out alarm information to the management server of the cell or the village in the city, and the fire-fighting alarm server receives the position information uploaded by the positioning module in real time;
step S3: the management server extracts destination information after receiving the alarm information, analyzes roads with good road conditions according to the stored road information, generates a map and uploads the map to the fire-fighting alarm server;
step S4: the fire-fighting alarm server transmits the received map to the vehicle-mounted terminal, and the vehicle-mounted terminal displays the map;
step S5: the management server continuously stores and analyzes the road information uploaded by the road information acquisition module, if the situation that congestion occurs on the road is found when the fire fighting truck is about to arrive at the community or the urban village, the management server immediately sends warning information to the sound prompt module, and if more personnel exist or emergency occurs, the management server sends prompt information to the portable terminal, so that managers or security guards near the road can immediately go to dredge the crowd or solve the emergency.
Furthermore, the police-out information comprises a police-out destination, specific information of the fire truck and the time of the fire truck arriving at the residential quarter or the urban village, the specific information of the fire truck comprises the length, the width and the height of the truck body, the number of roads which the fire truck can pass through can be analyzed according to the police-out destination and the length, the width and the height of the fire truck, and the time of arriving at the residential quarter or the urban village is convenient for managers to adjust the road conditions in time.
Furthermore, the fire-fighting alarm server and the management server share the position information of the fire-fighting truck in real time, so that managers in a residential area or a rural area can know the position of the fire-fighting truck in time, and the influence on the trip of local residents due to planning of the driving route of the fire-fighting truck is reduced.
Further, the content of the warning information is: the fire-fighting vehicle is about to pass through and please give way as soon as possible; the prompting information content is the target road and road condition information to be reached, so that managers or security guards can reach the target road more quickly, and the road condition information is convenient for the managers or security guards to know the road condition in advance and carry required tools.
The invention provides a fire-fighting alarm-issuing linkage system and method based on big data, which can be used for planning an optimal route according to road condition information immediately after a management server receives the alarm-issuing information of a fire-fighting alarm server by acquiring and analyzing the road condition information of a cell or a city, and the road information acquisition module continuously acquires the road information to ensure that the route is kept smooth and a fire truck can smoothly pass through the system without stopping the fire truck; the fire-fighting alarm server and the management server share the position of the fire-fighting truck in real time, so that the district or the urban village can know the position of the fire-fighting truck in time and prepare the fire-fighting truck in advance.
Drawings
FIG. 1 is a block diagram of the system components of the present invention.
Fig. 2 is a flow chart of the present invention.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
As shown in fig. 1, the system of the present invention is a block diagram, and a fire-fighting alarm linkage system based on big data comprises a fire-fighting alarm server, a management server, a road information collection module, a positioning module, a voice prompt module, a portable terminal and a vehicle-mounted terminal; through wireless network connection between fire alarm server and the management server, the preferred cloud ware of fire alarm server, the stability of cloud ware is better and when having increased the security reduce the cost, it is more convenient to use, fire alarm server not only is limited to the cloud ware also can use the physical server, fire alarm server passes through wireless communication's mode with orientation module and vehicle mounted terminal and is connected, the preferred GPS positioning system of orientation module, be convenient for in time learn the position information of fire vehicle can calculate the real-time speed of traveling of vehicle simultaneously. The positioning module uploads the acquired position information and speed information of the fire fighting vehicle to the fire fighting alarm server through the GPRS, the fire fighting alarm server calculates the time spent by the fire fighting vehicle to a residential quarter or a rural village after receiving the data, sends the position information of the fire fighting vehicle and the calculated time information to the management server, and resends the data once at intervals, so that the real-time position of the fire fighting vehicle is shared.
The management server is connected with the portable terminal, the voice prompt module and the road information acquisition module, the road information acquisition module can collect road information in real time, the collected road information comprises the congestion condition of each road, whether the emergency condition occurs or not and whether the road is repaired or not, and the road information acquisition module comprises a camera. The camera arranged at each road intersection can acquire road conditions in real time and upload the road conditions to the management server, the management server performs face detection on the acquired images, the counting module counts the number of detected faces, the counted value is compared with a set threshold value, and if the number of detected faces is greater than the threshold value, people are judged to be difficult to evacuate; if the number of the crowd is smaller than the threshold value, the crowd is judged to be easy to evacuate, the management server stores the judgment result and the corresponding time point, and the threshold value can be set according to the actual road condition. For example, if the number of people is 30 as a result of counting the faces detected by the management server and exceeds the set threshold 20, the counting module may determine that the people on the road are difficult to evacuate, and store the result of the comparison in the management server, or the management server may send a prompt message to the portable terminal. Whether the road is under maintenance and the maintenance situation may be manually entered by a manager. The method comprises the steps that road conditions of roads are collected in real time through a camera arranged on each road, a management server analyzes collected road condition information and judges whether articles appear on the roads and whether the articles are not removed within a preset time period, and if yes, the fire fighting truck is judged to be difficult to pass through; if not, the fire fighting truck is judged to be capable of passing, the judgment result and the time point are stored, or prompt information is transmitted to the portable terminal, and the preset time period can be set according to the actual situation. For example, the camera acquires a road image, the management server analyzes the road image to obtain that a vehicle is parked on the road, and the vehicle is still detected on the road after three minutes, the management server judges that the road is difficult to pass through, sends a prompt message content to the portable terminal to inform a manager or security personnel of road information and congestion reasons for traffic evacuation, and the manager or security personnel can conveniently reach a target road to maintain traffic in time.
The management server analyzes the probability of congestion of each road in each time period.
As shown in the data information during the execution of the method in the road condition table of table 1 (the real road name is replaced with the road number):
TABLE 1 road Condition Table
As shown in table 1, the time of the fire truck arriving at the urban village or the district is calculated by the fire alarm server to be 14:20, the fire alarm server transmits the calculated time and the location information of the fire truck to the management server, the management server obtains through analysis that the probability of congestion of the road 001 in the time period of 14:00-15:00 is 0.5 and the probability of congestion of the road 002 in the time period of 14:00-15:00 is 1 after receiving the time, so that the management server generates a route map by using the road 001 as an optimal route and a map of the urban village or the district, sends the route map to the fire management server, and the fire management server sends the route map to a vehicle-mounted terminal of the fire truck for display after receiving the route map.
After the management server sends the route map, the road information acquisition module still acquires information on the road in real time. The voice prompt modules are arranged on two sides of the road, and can send prompt information after receiving the signals of the management server to tell pedestrians to give way. The portable terminal can receive the signal transmitted by the management server and remind the managers of the district or the urban village or the security guard to maintain the traffic on the target road.
A fire-fighting alarm-giving linkage method based on big data comprises the following steps:
step S1: the road information acquisition module acquires road information and uploads the acquired data to the management server, and the management server stores and analyzes the received road information;
step S2: after receiving the alarm distress signal, the fire-fighting alarm server determines a cell or a village in the city through which the fire-fighting truck passes according to the provided position information, sends out alarm information to a management server of the cell or the village in the city, and receives the position information uploaded by the positioning module in real time;
step S3: after receiving the alarm information, the management server extracts destination information, analyzes a road with good road condition according to the stored road information, generates a map and uploads the map to the fire-fighting alarm server;
step S4: the fire-fighting alarm server transmits the received map to the vehicle-mounted terminal, and the vehicle-mounted terminal displays the map;
step S5: the management server continuously stores and analyzes the road information uploaded by the road information acquisition module, if the situation that congestion occurs on the road is found when the fire fighting truck is about to arrive at the residential quarter or the urban village, the management server immediately sends warning information to the sound prompt module, and if more personnel or emergency occurs, the management server sends prompt information to the portable terminal, so that managers or security guards near the road can immediately guide the crowd or solve the emergency.
The road information acquisition module acquires the congestion condition of each road, whether an emergency situation occurs or not and whether the road is repaired or not, and uploads the acquired data to the management server, and the management server stores and analyzes the received data. After receiving the alarm for help, the fire-fighting alarm server acquires position information of an accident site from the alarm information, plans a running route of the fire-fighting truck according to the position information of the accident site, acquires the position information and speed information of the fire-fighting truck and sends the position information and the speed information to the fire-fighting alarm server, the fire-fighting alarm server calculates time T according to the distance S between the fire-fighting truck and a residential quarter or a rural area and the speed V of the fire-fighting truck, the time calculation formula is T ═ S/V, the fire-fighting alarm server packages the time T, the position information of the accident site and the position information of the fire-fighting truck into alarm information and sends the alarm information to the management server, after receiving the alarm information, the management server plans the route according to the analyzed congestion situation on each road and the occurrence probability of the emergency situation on each road, and selects the road with low congestion probability, and generating a route map and uploading the route map to a fire alarm server, and sending the route information to the vehicle-mounted terminal after the fire alarm server receives the route information. The method comprises the steps that a road information acquisition module continuously acquires road information, if the road information acquisition module detects that congestion occurs on a road when a fire truck is about to arrive at the community or the urban village, whether a crowd is larger than a threshold value or whether an emergency situation occurs is judged, if not, a management server sends prompt information to a sound prompt module, and the sound prompt module plays sound to prompt passers to give way after receiving the prompt information; if yes, sending prompt information to the portable terminal to ensure that nearby management personnel or security guards can arrive at the site in time to maintain the road to be smooth.
The technical principle of the present invention is described above in connection with specific embodiments. The description is made for the purpose of illustrating the principles of the invention and should not be construed in any way as limiting the scope of the invention. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive effort, which would fall within the scope of the present invention.
Claims (10)
1. A fire-fighting alarm-giving linkage system based on big data is characterized by comprising a fire-fighting alarm server, a management server, a road information acquisition module, a positioning module, a voice prompt module, a portable terminal and a vehicle-mounted terminal;
the fire alarm server is used for receiving alarm information, sending alarm information to the management server, receiving data uploaded by the management server and receiving position information uploaded by the positioning module;
the management server is used for receiving the road information acquired by the road information acquisition module, storing and analyzing the received road information; after receiving the alarm information, planning an optimal route according to the road information, forming a map and sending the map to the fire-fighting alarm server, and simultaneously controlling the operation of the sound prompt module and the portable terminal;
the road information acquisition module is used for acquiring road information and uploading the road information to the management server;
the positioning module is used for acquiring real-time position information of the fire fighting truck and uploading the real-time position information to the fire fighting alarm server;
the voice prompt module is used for receiving the command sent by the fire alarm server and sending a voice prompt;
the portable terminal is used for prompting a manager or a security guard to go to a target place to maintain traffic;
and the vehicle-mounted terminal is used for receiving the map transmitted by the fire-fighting alarm server and displaying the map.
2. A fire alarm linkage system based on big data as claimed in claim 1, wherein the collected road information includes congestion condition of each road, whether an emergency occurs and whether a road repair is in progress.
3. A fire alarm linkage system based on big data as claimed in claim 2, wherein the method for judging the congestion condition of each road comprises the following steps: the method comprises the following steps that a camera arranged at each road intersection collects road conditions in real time, face detection is carried out on collected images, a counting module counts the number of detected faces, the counted value is compared with a set threshold value, and if the number of detected faces is larger than the threshold value, people are judged to be difficult to evacuate; and if the number of the people is less than the threshold value, determining that the crowd is easy to evacuate.
4. A fire alarm linkage system based on big data according to claim 2, characterized in that the method for judging whether the emergency occurs is: the camera arranged on each road collects road conditions in real time, the collected road condition information is analyzed, whether articles appear on the road or not is judged, whether the articles are not removed within a preset time or not is judged, and if yes, the fire fighting truck is judged to be difficult to pass through; if not, the fire engine is judged to be accessible.
5. A fire alarm linkage system based on big data as claimed in claim 1, wherein the portable terminal is a mobile phone or an interphone; the portable terminal carrier is a manager or security guard in a community or a rural area.
6. A fire alarm linkage system based on big data according to claim 1, wherein the positioning module and the vehicle terminal are disposed on a fire fighting truck.
7. A linkage method of a big data based fire alarm linkage system according to claim 1, comprising the following steps:
step S1: the road information acquisition module acquires road information and uploads the acquired data to the management server, and the management server stores and analyzes the received road information;
step S2: after receiving the alarm distress signal, the fire-fighting alarm server determines a cell or a village in the city through which the fire-fighting truck passes according to the provided position information, and sends out alarm information to the management server of the cell or the village in the city, and the fire-fighting alarm server receives the position information uploaded by the positioning module in real time;
step S3: the management server extracts destination information after receiving the alarm information, analyzes roads with good road conditions according to the stored road information, generates a map and uploads the map to the fire-fighting alarm server;
step S4: the fire-fighting alarm server transmits the received map to the vehicle-mounted terminal, and the vehicle-mounted terminal displays the map;
step S5: the management server continues to collect road information, if the fire fighting truck is about to arrive at the community or the urban village, the situation that congestion occurs on the road is found, the management server immediately sends warning information to the sound prompting module, and if more personnel exist or emergency occurs, the management server sends prompting information to the portable terminal, so that managers or security guards near the road can immediately go to dredge the crowd or solve the emergency.
8. A big data based fire alarm linkage method according to claim 7, wherein the alarm information includes the alarm destination, specific information of the fire engine and the arrival time of the fire engine at the district or the urban village.
9. A fire alarm linkage method based on big data as claimed in claim 7, wherein the fire alarm server and the management server share the position information of the fire engine in real time.
10. A fire alarm linkage method based on big data as claimed in claim 7, wherein the content of the alarm information is: the fire-fighting vehicle is about to pass through and please give way as soon as possible; the prompting information content is road and road condition information to be passed through.
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| CN114338787A (en) * | 2021-12-30 | 2022-04-12 | 重庆天智慧启科技有限公司 | Intelligent fire-fighting alarm system and method |
| CN114582114A (en) * | 2022-02-18 | 2022-06-03 | 广州华生信息科技有限公司 | Fire-fighting vehicle priority passing system based on Internet of things, control method, computer-readable storage medium and terminal |
| CN114913664A (en) * | 2022-05-13 | 2022-08-16 | 安徽光智科技有限公司 | Fire detection linkage control system and method |
| CN115662165A (en) * | 2022-10-22 | 2023-01-31 | 浙江大虫科技股份有限公司 | Fire safety cockpit system and fire engine route system guiding method |
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| CN116824897A (en) * | 2023-08-03 | 2023-09-29 | 深圳市景悦科技有限公司 | Traffic management method and system based on intelligent community |
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Application publication date: 20211123 |