CN107274003A - A smart fire management system and its control method - Google Patents

Abstract

A kind of wisdom fire-fighting management system, including front-end acquisition device, sensor assembly, video monitoring module and background server, the sensor assembly and video monitoring module are electrically connected with front-end acquisition device for gathering fire signal, the front-end acquisition device is communicated to connect with background server, it is characterised in that：Also include BIM architecture informations service platform, fire-fighting big data platform and the alarm for being worn on trapped personnel, the alarm includes the adjustable sounding module of main control module, GPS module, velocity sensor and frequency volume.The wisdom fire-fighting management system can make trapped personnel effectively to implement to save oneself in optimal escape time again along most short best-effort path before rescue personnel reaches.Also provide a kind of control method applied to above-mentioned wisdom fire-fighting management system in addition.

Description

A smart fire management system and its control method

technical field

The invention relates to the technical field of fire protection, in particular to an intelligent fire protection management system and a control method thereof.

Background technique

Although the current smart fire management system can achieve the purpose of remote monitoring and timely rescue by installing a variety of sensors and visualization devices at various monitoring locations, the time when rescuers arrive at the scene is the best time to escape. It is an urgent problem that we need to solve to make the trapped people effectively implement self-rescue within the best escape time.

Contents of the invention

The technical problem to be solved by the present invention is to provide a smart fire management system that enables trapped people to follow the shortest escape route and effectively implement self-rescue within the best escape time before rescuers arrive.

The technical solution of the present invention is: an intelligent fire management system, including front-end collectors arranged at the management centers of each building, sensor modules and video monitoring modules arranged at multiple monitoring points of each building, and The background server at the center, the sensor module and the video monitoring module are all electrically connected to the front-end collector for collecting fire signals, and the front-end collector is connected to the background server in communication, and it is characterized in that: it also includes a BIM building information service platform, The big fire data platform and the alarm device worn by the trapped persons, the BIM building information service platform communicates with the background server for inputting the three-dimensional building model of the building where the fire occurred to the background server, and the fire department The data platform communicates with the background server to analyze and predict the scene situation according to the information collected by the sensor module and the video monitoring module, and calculate the shortest escape route and the slowest escape speed according to the fire point. The alarm includes a main control module, a GPS module, a speed The sensor, and the sounding module with adjustable frequency and volume, the GPS module, the speed sensor and the sounding module are all electrically connected to the main control module, and the main control module is also connected to the front-end collector in communication.

After adopting the above structure, the present invention has the following advantages:

The intelligent fire management system of the present invention can automatically monitor on-site parameter information through the sensor module and the video monitoring module, and the on-site parameter information is uploaded by the front-end collector to the background server of the fire management center in real time, and the background server analyzes and predicts the on-site situation through the fire-fighting big data platform, thereby achieving In order to achieve the purpose of remote monitoring, analysis and forecasting, it can effectively prevent problems before they happen; once a fire occurs, the background server will obtain the 3D building model of the building where the fire occurred from the BIM building information service platform and transmit it to the big data platform for fire protection, which can then be used by the fire protection big data platform. The data platform calculates the shortest escape route and the slowest escape speed based on the 3D building model and the fire point, and realizes correct and efficient decision-making; before the rescuers arrive, the trapped people can carry out self-rescue by wearing the alarm, and use the GPS module of the alarm to detect Whether the trapped people escape along the shortest escape route, and the volume of the sound module will give an intuitive warning to the walking direction. The closer to the safety exit, the louder the volume, and use the speed sensor of the alarm to detect whether the escape speed of the trapped people is fast enough , and the frequency of the sound module gives an intuitive warning of the speed of escape. The faster the escape speed is, the higher the frequency is, so that the trapped people can not only follow the correct route but also transfer to a safe place within the best escape time. exit, thus effectively implementing self-rescue before firefighters arrived.

Preferably, it also includes a fire-fighting mobile police platform, and the fire-fighting mobile police platform is communicatively connected to the background server. This setting enables the fire mobile police platform and the background server to share data for easy rescue.

Preferably, the mobile terminal of each building manager is also included, and the mobile terminals of each building manager are connected to the background server through wireless communication. This setting enables the administrators of each building to obtain fire information in real time, facilitating timely rescue.

Preferably, a plurality of indicator lights for guiding directions are also provided in each building, and each indicator light is electrically connected to the front-end collector. The above-mentioned plurality of indicator lights for guiding directions can assist the alarm to guide the trapped personnel to escape along the shortest escape route.

Another technical problem to be solved by the present invention is to provide a control method for a smart fire management system that enables trapped persons to follow the shortest escape route and effectively implement self-rescue within the best escape time before rescuers arrive.

Another technical solution of the present invention is: a control method applied to an intelligent fire management system, characterized in that it includes the following steps:

(1) The front-end collector at the management center of each building regularly collects the on-site parameter information at multiple monitoring points through the sensor module and the video monitoring module, and uploads the on-site parameter information to the background server at the fire management center;

(2) The background server transmits the on-site parameter information to the fire big data platform, and the fire big data platform analyzes and predicts whether there is a fire at each monitoring point. If there is, then enter the next step, if not, then return to step (1);

(3) The background server obtains the 3D architectural model of the building where the fire broke out through the BIM building information service platform and transmits it to the firefighting big data platform, and the firefighting big data platform calculates the shortest escape path and slowest escape speed according to the 3D building model and the fire point;

(4) The background server collects the position information of the GPS module of the alarm worn by the trapped person and the speed information of the speed sensor in real time through the front-end collector, and transmits the position information and speed information of the trapped person to the firefighting big data platform ;

(5) The fire big data platform analyzes whether the position of the trapped person is along the shortest escape route. If so, the volume of the sound module is controlled according to the closer the distance between the current position and the safety exit. The first warning sound, at the same time, the fire big data platform analyzes whether the escape speed of the trapped personnel is lower than the slowest escape speed, if so, the second warning sound is issued, if not, the faster the escape speed, the higher the frequency to control the frequency of the sound module.

After adopting said method, the present invention has the following advantages:

The control method of the intelligent fire management system of the present invention can realize remote monitoring by using the sensor module and the video monitoring module, and can correctly and efficiently analyze and predict the uploaded on-site parameter information by using the fire big data platform, and combine the BIM building information service platform to perform correct and efficient Therefore, before the rescuers arrive, the alarm can be used to correctly guide the self-rescue behavior of the trapped people, and the alarm can not only be used to guide the trapped people to escape along the shortest escape route, but also can be used in the best It can reach the safety exit within a short escape time, and the guidance method is very intuitive, which is very suitable for the chaotic scene of the fire scene, so that the trapped people can effectively save themselves.

As preferably, it also includes a fire-fighting mobile police platform that is communicatively connected to the back-end server. In the step (2), when the fire-fighting big data platform analyzes and predicts that there is a fire at the monitoring point, the back-end server will send the building where the fire broke out and the fire point information Upload to the fire mobile police platform to notify firefighters to implement rescue in time. This setting can remind firefighters to carry out rescue in time.

As preferably, it also includes the mobile terminal of each building manager wirelessly connected to the background server. In the step (2), when the fire big data platform analyzes and predicts that there is a fire at the monitoring point, the background server will report the building where the fire broke out. And the fire point information is sent to the mobile terminal of the administrator of the building where the fire broke out to notify the administrator to implement rescue in time. This setting can promptly remind the administrator of the building where the disaster occurred to carry out rescue.

Preferably, it also includes a plurality of indicator lights that are electrically connected to the front-end collectors arranged in each building, and the step (4) is passed by the background server after the fire big data platform calculates the shortest escape route according to the three-dimensional building model and the fire point. The front-end collector controls to light up the corresponding indicator light. This setting can use the indicator light to assist the alarm to guide the trapped people to escape along the shortest escape route.

Description of drawings:

Fig. 1 is the functional block diagram of intelligent fire management system of the present invention;

In the figure: 1-front-end collector, 2-sensor module, 3-video monitoring module, 4-background server, 5-BIM building information service platform, 6-fire big data platform, 7-alarm, 8-main control module , 9-GPS module, 10-speed sensor, 11-sounding module, 12-fire mobile police platform, 13-administrator's mobile terminal, 14-indicator light.

detailed description

The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

Example 1:

An intelligent fire management system, comprising a front-end collector 1 arranged at the management center of each building, a sensor module 2 and a video monitoring module 3 arranged at multiple monitoring points of each building, and a background server arranged at the fire management center 4. Both the sensor module 2 and the video monitoring module 3 are electrically connected to the front-end collector 1 for collecting fire signals, and the sensor module 2 includes one or more of sensors such as a smoke sensor, a flame sensor, an infrared sensor, and a temperature sensor. Various, the front-end collector 1 communicates with the background server 4, and also includes a BIM building information service platform 5, a fire-fighting big data platform 6, and an alarm 7 worn on the trapped person. The BIM building information The service platform 5 communicates with the background server 4 and is used to input the three-dimensional building model of the building where the fire occurs to the background server 4. The fire big data platform 6 communicates with the background server 4 and is used to communicate with the background server 4 according to the sensor module 2 and the video monitoring module 3. The collected information analyzes and predicts the scene situation and calculates the shortest escape route and the slowest escape speed according to the ignition point. The alarm 7 includes a main control module 8, a GPS module 9, a speed sensor 10, and a sounding module 11 with adjustable frequency and volume , the GPS module 9 , the speed sensor 10 and the sound module 11 are all electrically connected to the main control module 8 , and the main control module 8 is also communicatively connected to the front-end collector 1 .

The intelligent fire management system of the present invention can automatically monitor the scene conditions through the sensor module 2 and the video monitoring module 3, and the scene conditions are uploaded to the background server 4 of the fire management center by the front-end collector 1 in real time, and the background server 4 analyzes and predicts the scene through the fire big data platform 6 situation, so as to achieve the purpose of remote monitoring analysis and prediction, which can effectively prevent problems before they happen, and set the video monitoring module 3 to realize the purpose of visual monitoring, and use big data analysis to make information processing more correct and fast; once a fire occurs, then The background server 4 obtains the three-dimensional architectural model of the building where the fire broke out from the BIM building information service platform 5, and transmits it to the fire big data platform 6 together with the fire point information, and the fire big data platform 6 can calculate the shortest escape path and the slowest escape speed, Correct and efficient decision-making is realized; before the rescuers arrive, the background server 4 sends an instruction to the alarm 7 through the main control module 8 of the building management center, and the trapped people can carry out self-rescue by wearing the alarm 7, and the front-end collector 1 Collect the location information of the GPS module 9 of the alarm 7 and upload it to the background server to detect whether the trapped person has escaped along the shortest escape route, and the volume of the sound module 11 will give an intuitive warning to the walking direction, the closer to the safety exit The louder the volume, the speed information of the speed sensor 10 of the alarm 7 is also collected by the front-end collector 1 and uploaded to the background server to detect whether the escape speed of the trapped personnel is fast enough, and the frequency of the sound module 11 is used to determine the speed of the escape speed. Intuitive warning of fast and slow, the faster the escape speed, the higher the frequency, so that the trapped people can not only follow the correct route but also transfer to the safety exit within the best escape time, thus effectively implementing the fire prevention before the firefighters arrive. save yourself.

Preferably, it also includes a fire-fighting mobile police platform 12, and the fire-fighting mobile police platform 12 is communicatively connected with the background server 4. This setting can make the fire-fighting mobile police platform 12 and the backstage server 4 share data, is convenient to carry out rescue.

Preferably, the mobile terminal 13 of each building manager is also included, and the mobile terminal 13 of each building manager is connected to the background server 4 in communication. This setting enables the administrators of each building to obtain fire information in real time, facilitating timely rescue.

Preferably, a plurality of indicator lights 14 for guiding directions are also provided in each building, and each indicator light 14 is electrically connected to the front-end collector 1 . The above-mentioned plurality of indicator lights 14 for guiding directions can assist the alarm 7 to guide the trapped personnel to escape along the shortest escape route.

Example 2:

A control method applied to the intelligent fire management system of embodiment 1, it comprises the following steps:

(1) The front-end collector 1 at each building management center place regularly collects the field parameter information at a plurality of monitoring points through the sensor module 2 and the video surveillance module 3, and uploads the field parameter information to the background server 4 at the fire management center place;

(2) The background server 4 transmits the on-site parameter information to the fire-fighting big data platform 6, and the fire-fighting big data platform 6 analyzes and predicts whether there is a fire at each monitoring point. If there is, then enter the next step, if not, then return to step (1) ;

(3) The background server 4 obtains the three-dimensional building model of the building where the fire broke out through the BIM building information service platform 5 and transmits it to the fire big data platform 6, and the fire big data platform 6 calculates the shortest escape route and the shortest escape route according to the three-dimensional building model and the fire point. slow escape velocity;

(4) background server 4 collects the position information of the GPS module 9 of the alarm 7 worn on the trapped personnel and the speed information of the speed sensor 10 by the front-end collector 1 in real time, and transmits the position information and the speed information of the trapped personnel To firefighting big data platform 6;

(5) Whether the position of the trapped personnel is analyzed along the shortest escape route by the fire-fighting big data platform 6, if so, then control the volume of the sound module 11 according to the nearer the volume of the distance between the current position and the safety exit, and the greater the volume, if not, Then send the first warning sound, meanwhile, analyze whether the escape speed of the trapped personnel is lower than the slowest escape speed by the fire big data platform 6, if so, then send the second warning sound, if not, then according to the faster the escape speed, the higher the frequency. High way to control the frequency of the sound module 11.

The control method of the intelligent fire protection management system of the present invention can realize remote monitoring by using the sensor module 2 and the video monitoring module 3, and the video monitoring module 3 is set to realize the purpose of visual monitoring, and the use of big data analysis makes the processing of information more rapid and correct; The firefighting big data platform 6 can conduct correct and efficient analysis and prediction of the uploaded on-site parameter information, and make correct and efficient decisions in combination with the BIM building information service platform 5, so that before the rescuers arrive, the alarm 7 can be used to monitor the trapped The self-rescue behavior of personnel can be correctly guided; and the alarm 7 can not only be used to guide trapped personnel to escape along the shortest escape route, but also to reach the safety exit within the best escape time, and the guidance method is very intuitive, which is very suitable for fire scenes The chaotic scene can make the trapped people effectively implement self-rescue.

As preferably, it also includes a fire-fighting mobile police platform 12 that is communicatively connected with the back-end server 4. In the step (2), when the fire-fighting big data platform 6 analyzes and predicts that there is a fire at the monitoring point, the back-end server 4 will report the occurrence of the fire. The building and the fire point information are uploaded to the fire-fighting mobile police platform 12 to notify the firefighters to implement rescue in time. This setting can remind firefighters to carry out rescue in time.

As preferably, also comprise the mobile terminal 13 of each building manager that is connected with background server 4 wireless communication, in described step (2) when fire big data platform 6 analyzes and predicts that there is a fire at the monitoring point, background server 4 will The building where the fire broke out and the fire point information are sent to the mobile terminal 13 of the administrator of the building where the fire broke out to notify the administrator to implement rescue in time. This setting can promptly remind the administrator of the building where the disaster occurred to carry out rescue.

As preferably, it also includes a plurality of indicator lights 14 that are arranged in each building and are electrically connected to the front-end collector 1. After the step (4) calculates the shortest escape route according to the three-dimensional building model and the ignition point, the step (4) is performed by The background server 4 controls and lights up the corresponding indicator light 14 through the front-end collector 1 . This setting can utilize indicator light 14 auxiliary alarm 7 to guide trapped personnel to escape along the shortest escape route together.

Claims (8)

1. A kind of intelligence fire control management system, comprises the front-end collector (1) that is arranged on each building management center place, is arranged on the sensor module (2) and the video monitoring module (3) at a plurality of monitoring points places of each building, and sets In the background server (4) at the fire management center, the sensor module (2) and the video surveillance module (3) are all electrically connected to the front-end collector (1) for collecting fire signals, and the front-end collector (1) Communicatively connected with the background server (4), it is characterized in that: it also includes a BIM building information service platform (5), a fire-fighting big data platform (6), and an alarm (7) for wearing on the trapped person, the The BIM building information service platform (5) communicates with the background server (4) and is used to input the three-dimensional building model of the building where the fire occurs to the background server (4), and the fire big data platform (6) communicates with the background server (4) The communication connection is used to analyze and predict the scene situation according to the information collected by the sensor module (2) and the video monitoring module (3) and calculate the shortest escape path and the slowest escape speed according to the ignition point, and the alarm (7) includes a main control module ( 8), GPS module (9), speed sensor (10), and the all-adjustable sounding module (11) of frequency volume, described GPS module (9), speed sensor (10) and sounding module (11) are all connected with main The control module (8) is electrically connected, and the main control module (8) is also communicatively connected with the front-end collector (1). 2. A kind of intelligent fire management system according to claim 1, characterized in that: it also includes a fire-fighting mobile police platform (12), and the fire-fighting mobile police platform (12) is communicatively connected to the background server (4). 3. A kind of intelligence fire management system according to claim 1, is characterized in that: also comprise the mobile terminal (13) of each building manager, the mobile terminal (13) of each building manager all communicates with background server ( 4) Wireless communication connection. 4. A kind of intelligence fire management system according to claim 1, is characterized in that: in described each building, also be provided with a plurality of indicator lamps (14) that are used to guide direction, each indicator lamp (14) and front-end acquisition The device (1) is electrically connected. 5. A control method applied to the intelligent fire management system as claimed in claim 1, characterized in that: it comprises the following steps: (1) The front-end collectors (1) at the management centers of each building regularly collect on-site parameter information at multiple monitoring points through the sensor module (2) and video monitoring module (3), and upload the on-site parameter information to the fire management center The background server at place (4); (2) The background server (4) transmits the on-site parameter information to the fire-fighting big data platform (6), and the fire-fighting big data platform (6) analyzes and predicts whether there is a fire at each monitoring point. If there is, then enter the next step, if not, return to step (1) (3) The background server (4) obtains the three-dimensional building model of the building where the fire broke out through the BIM building information service platform (5) and transmits it to the fire big data platform (6), and the fire big data platform (6) according to the three-dimensional building model Calculate the shortest escape path and the slowest escape speed with the ignition point; (4) background server (4) collects the position information of the GPS module (9) of the alarm (7) worn on the trapped personnel's body and the speed information of speed sensor (10) by front-end collector (1) in real time, and will The position information and speed information of the trapped persons are transmitted to the fire big data platform (6); (5) Analyze whether the position of the trapped personnel is along the shortest escape route by the fire-fighting big data platform (6), if so, then control the volume of the sound module (11) according to the mode that the distance between the current position and the safety exit is closer and the volume is louder , if not, the first warning sound will be issued, and at the same time, the fire big data platform (6) will analyze whether the escape speed of the trapped personnel is lower than the slowest escape speed, if so, the second warning sound will be issued, if not, then according to The faster the escape speed is, the higher the frequency is to control the frequency of the sound module (11). 6. a kind of control method that is applied to intelligent fire management system according to claim 5, is characterized in that: also comprise the fire-fighting mobile police service platform (12) that is communicatively connected with background server (4), described step (2 ), when the fire big data platform (6) analyzes and predicts that there is a fire at a monitoring point, the background server (4) will upload the information of the building where the fire broke out and the fire point to the fire mobile police platform (12) to notify the firefighters to implement it in time rescue. 7. A kind of control method that is applied to intelligent fire management system according to claim 5, is characterized in that: also comprise the mobile terminal (13) of each building administrator that is connected with background server (4) wireless communication, described In step (2), when the fire big data platform (6) analyzes and predicts that there is a fire at the monitoring point, the background server (4) will send the building where the fire broke out and the information on the ignition point to the mobile terminal of the administrator of the building where the fire broke out ( 13) To inform the administrator to implement rescue in time. 8. A control method applied to a smart fire management system according to claim 5, characterized in that: it also includes a plurality of indicator lights (14) that are electrically connected to the front-end collector (1) in each building, In the step (4), after the fire big data platform (6) calculates the shortest escape route according to the three-dimensional building model and the fire point, the background server (4) controls and lights up the corresponding indicator light (14) through the front-end collector (1) .