Intelligent fire-fighting integrated management system based on Internet of Things

Abstract

The invention belongs to the technical field of intelligent fire-fighting comprehensive management, and particularly relates to an intelligent fire-fighting comprehensive management system based on the Internet of Things, which comprises a monitoring module used for continuously monitoring environment changes inside and outside a building for 24 hours, and quickly locking an abnormal area once an abnormal condition is detected, accurate position information is provided for subsequent emergency response; and the management module is used for receiving the information monitored by the monitoring module for 24 hours, and then acquiring the place where the fire occurs. The method can quickly complete the planning of the optimal route, can estimate the time for the fire fighting truck to arrive at the fire site according to the road congestion condition corresponding to the police time period, screens out the fire fighting truck police route in the shortest time, reduces the congestion time of the fire fighting truck on the road, shortens the time for the fire fighting truck to arrive at the fire site, and improves the safety of the fire fighting truck. And the fire extinguishing efficiency is improved, the life and property loss of people is reduced, and high economic and practical values are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent fire protection integrated management, and in particular to an intelligent fire protection integrated management system based on the Internet of Things. Background Art

[0002] As people use more and more fire and electricity in production and life, fires continue to occur due to careless management or equipment failure, posing a huge threat to human life and property. Smart fire protection is an important part of the public safety application field. With the continuous acceleration of my country's urbanization construction, the new generation of information technology has had a profound impact on the administrative management and public services of government departments, the business management and business models of enterprises, and the lives of the people. The informatization of urban construction and management is gradually developing from digitalization and networking to automation and intelligence.

[0003] With the expansion of cities and the popularity of cars, traffic congestion in big cities is becoming more and more serious. The congestion has seriously affected the rescue arrival time of fire trucks, so the existing fire trucks cannot reach the fire site in time, affecting the firefighting effect. For this reason, it is necessary to design a new technical solution to solve it. Summary of the invention

[0004] The purpose of the present invention is to provide a smart fire protection integrated management system based on the Internet of Things, which solves the problems raised in the background technology.

[0005] To achieve the above purpose, the present invention provides the following technical solution: a smart fire protection integrated management system based on the Internet of Things, comprising:

[0006] The monitoring module is used to monitor environmental changes inside and outside the building 24 hours a day. Once an abnormal situation is detected, the system will quickly lock the abnormal area and provide accurate location information for subsequent emergency response;

[0007] The management module is used to receive the information monitored by the monitoring module 24 hours a day and then obtain the location where the fire occurred;

[0008] The route analysis module is used to plan the fire truck dispatch route from the fire station to the fire site, and then obtain the shortest route to the fire site based on the dispatch time and road congestion, and then evaluate the obtained routes to obtain the best route.

[0009] As a preferred embodiment of the present invention, the monitoring module includes a smoke detector, a temperature sensor, a gas sensor and a power distribution monitoring device. The smoke detector and the temperature sensor are combined to determine whether a fire has occurred. The gas sensor monitors whether there is a gas leak when a fire occurs. The smoke detector, the temperature sensor and the gas sensor are all connected to the power distribution monitoring device.

[0010] As a preferred implementation mode of the present invention, the management module includes a fire monitoring platform, the power distribution monitoring device is connected to the fire monitoring platform via the Internet, and the fire monitoring platform is used to analyze fire data.

[0011] As a preferred embodiment of the present invention, the route analysis module includes a time import module, a destination import module, a route planning module, a road status collection platform and a route evaluation module. The time import module and the destination import module are imported according to the information obtained by the fire monitoring platform, and a plurality of fire truck dispatch routes are planned according to the location through the route planning module. The traffic conditions of the plurality of routes are evaluated and predicted in real time according to the time period road condition data collected on the road status collection platform, and several dispatch routes with similar time are screened out. The selected dispatch routes are evaluated by the route evaluation module to obtain the best dispatch route.

[0012] As a preferred embodiment of the present invention, the road status acquisition platform includes a data acquisition module, a data processing and analysis module, and a data storage and management module. The data acquisition module collects various data related to the optimal route screening of fire trucks, including traffic information (such as road conditions, vehicle density, number of road intersections, etc.), fire scene data (such as fire location, fire size, etc.), historical traffic data, etc. The data processing and analysis module cleans the original data, removes errors and outliers, converts the data into a format that can be processed by the system, and performs standardized processing, and then stores it in the data storage and management module.

[0013] As a preferred embodiment of the present invention, it also includes a fire truck navigation system and a traffic signal control system. An information sending module is provided between the fire truck navigation system and the route evaluation module. The information sending module communicates with the fire truck navigation system via the Internet.

[0014] As a preferred implementation of the present invention, the optimal police route is:

[0015] TTI = peak-hour driving time / off-peak driving time, where TTI is the congestion delay index, which reflects the increase in the time required for a vehicle to pass a certain section of road under congestion relative to the time required during off-peak hours (i.e. when traffic is flowing smoothly). The time required to pass each section of road is obtained through the data of historical off-peak driving time (i.e. when traffic is flowing smoothly) and peak-hour driving time (i.e. when traffic is congested) stored in the road status collection platform. If the police dispatch time is the peak-hour driving time (i.e. when traffic is congested), then the peak-hour driving time = off-peak driving time × congestion delay index, and the peak-hour driving time can be estimated, thereby obtaining the shortest time estimate to reach the destination.

[0016] As a preferred embodiment of the present invention, the traffic signal control system is connected to the fire truck navigation system via the Internet, and is managed and controlled according to the traffic lights on the fire truck's route.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] The present invention is an intelligent fire integrated management system based on the Internet of Things, which can quickly complete the planning of the optimal route, and can estimate the time it takes for the fire truck to arrive at the fire site according to the road congestion corresponding to the time period of the alarm, screen out the shortest fire truck alarm route, reduce the fire truck on the road congestion time, shorten the time it takes for the fire truck to arrive at the fire point, improve the fire fighting efficiency, reduce the loss of life and property of the people, and has high economic and practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0020] Figure 1 This is an operation diagram of an intelligent fire protection integrated management system based on the Internet of Things of the present invention.

[0021] Figure 2 It is an operation diagram of the road status acquisition platform of the present invention.

[0022] In the figure: 101, smoke detector; 102, temperature sensor; 103, gas sensor; 201, power distribution monitoring equipment; 202, fire monitoring platform; 301, time import module; 302, destination import module; 303, route planning module; 304, road status collection platform; 305, route evaluation module; 401, traffic signal control system; 402, fire truck navigation system; 403, information sending module; 3041, data collection module; 3042, data processing and analysis module; 3043, data storage and management module. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0024] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0025] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "set" should be understood in a broad sense, for example, they can be fixedly connected or set, or detachably connected or set, or connected or set in one piece. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The models of electrical appliances provided in the present invention are only for reference, and different models of electrical appliances with the same functions can be replaced according to actual usage.

[0026] Implementation column 1:

[0027] See also Figure 1 and Figure 2 The present invention provides a technical solution: a smart fire protection integrated management system based on the Internet of Things, comprising:

[0028] A monitoring module, the monitoring module includes a smoke detector 101, a temperature sensor 102, a gas sensor 103 and a power distribution monitoring device 201. The smoke detector 101 and the temperature sensor 102 are combined to determine whether a fire occurs. The gas sensor 103 monitors whether there is a gas leak when a fire occurs. The smoke detector 101, the temperature sensor 102 and the gas sensor 103 are all connected to the power distribution monitoring device 201 to monitor environmental changes inside and outside the building 24 hours a day. Once an abnormal situation is detected, the system will quickly lock the abnormal area to provide accurate location information for subsequent emergency response;

[0029] Management module, the management module includes a fire monitoring platform 202, the power distribution monitoring device 201 is connected to the fire monitoring platform 202 via the Internet, the fire monitoring platform 202 is used to analyze fire data, receive information monitored by the monitoring module 24 hours a day, and then obtain the location where the fire occurred;

[0030] Route analysis module, the route analysis module includes a time import module 301, a destination import module 302, a route planning module 303, a road status collection platform 304 and a route evaluation module 305, the road status collection platform 304 includes a data collection module 3041, a data processing and analysis module 3042 and a data storage and management module 3043, the data collection module 3041 includes road monitoring cameras, vehicle detection sensors (such as geomagnetism, radar, etc.), GPS tracking data (from vehicles or mobile phones), traffic flow counters, etc., which collect various data related to the best route screening for fire trucks 24 hours a day, including traffic information (such as road conditions, vehicle density, number of road intersections, etc.), historical traffic data, etc., the data processing and analysis module 3042 cleans the original data, removes errors and outliers, and performs traffic flow analysis and vehicle speed calculation , and then convert the data into a format that can be processed by the system, and perform standardization processing, and then store it in the data storage and management module 3043. The time import module 301 and the destination import module 302 import the information obtained by the fire monitoring platform 202, and plan multiple fire truck dispatch routes according to the location through the route planning module 303. The multiple routes are evaluated and predicted in real time according to the road condition data of the time period collected on the road state collection platform 304, and several dispatch routes with similar time are selected. The selected dispatch routes are evaluated by the route evaluation module 305 to obtain the best dispatch route, which is used to plan the dispatch route of the fire truck from the fire station to the fire location, and then the route with the shortest time to the fire location is obtained according to the dispatch time and road congestion, and then the obtained routes are evaluated to obtain the best route. The best dispatch route is:

[0031] TTI = peak-hour driving time / off-peak-hour driving time, where TTI is the congestion delay index, which reflects the increase in the time required for a vehicle to pass a certain road section under congestion relative to the time required during off-peak hours (i.e., when traffic is flowing smoothly). The time required to pass each section of the road is obtained through the data of historical off-peak-hour driving time (i.e., when traffic is flowing smoothly) and peak-hour driving time (i.e., when traffic is congested) stored in the road status collection platform 304. If the police dispatch time is the peak-hour driving time (i.e., when traffic is congested), then the peak-hour driving time = off-peak-hour driving time × congestion delay index, and the peak-hour driving time can be estimated, thereby obtaining an estimate of the shortest time to reach the destination.

[0032] In this implementation, the optimal route planning can be completed quickly, and the time it takes for the fire truck to arrive at the fire site can be estimated based on the road congestion corresponding to the time period of the alarm. The shortest fire truck alarm route can be screened out, reducing the fire truck's congestion time on the road, shortening the time it takes for the fire truck to arrive at the fire site, improving firefighting efficiency, and reducing the loss of life and property of the people. It has high economic and practical value.

[0033] Implementation column 2:

[0034] It includes a fire truck navigation system 402 and a traffic signal control system 401. An information sending module 403 is set between the fire truck navigation system 402 and the route evaluation module 305. The information sending module 403 is connected to the fire truck navigation system 402 via the Internet. The traffic signal control system 401 is connected to the fire truck navigation system 402 via the Internet, and control is performed according to the traffic lights on the fire truck's route.

[0035] In this embodiment, the traffic signal control system 401 can control the traffic signal on the fire truck's route to a long green light state, thereby preventing the fire truck from being blocked by red lights and affecting its dispatch speed, thereby helping to shorten the time it takes for the fire truck to reach the fire site and further improving the efficiency of firefighting.

[0036] In addition, the components included in the smart fire protection integrated management system based on the Internet of Things of the present invention are all universal standard parts or components known to technical personnel in this field. The structure and principle can be known to technical personnel in this field through technical manuals or through conventional experimental methods. In the idle part of this device, all the above-mentioned electrical components, which refer to power elements, electrical components, and adaptive monitoring computers and power supplies are connected through wires. The specific connection means should refer to the following working principle. The electrical connection is completed in the working order of each electrical component. The detailed connection means are well-known technologies in this field. The following mainly introduces the working principle and process, and no explanation is given on the electrical control.

[0037] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0038] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A smart fire protection integrated management system based on the Internet of Things, characterized in that: include: The monitoring module is used to monitor environmental changes inside and outside the building 24 hours a day. Once an abnormal situation is detected, the system will quickly lock the abnormal area and provide accurate location information for subsequent emergency response; The management module is used to receive the information monitored by the monitoring module 24 hours a day and then obtain the location where the fire occurred; The route analysis module is used to plan the fire truck dispatch route from the fire station to the fire site, and then obtain the shortest route to the fire site based on the dispatch time and road congestion, and then evaluate the obtained routes to obtain the best route.

2. According to the IoT-based smart fire protection integrated management system of claim 1, it is characterized by: The monitoring module includes a smoke detector, a temperature sensor, a gas sensor and a power distribution monitoring device. The smoke detector and the temperature sensor are combined to determine whether a fire has occurred. The gas sensor monitors whether there is a gas leak when a fire occurs. The smoke detector, the temperature sensor and the gas sensor are all connected to the power distribution monitoring device.

3. According to the Internet of Things-based intelligent fire protection integrated management system of claim 1, it is characterized by: The management module includes a fire monitoring platform. The power distribution monitoring equipment is connected to the fire monitoring platform via the Internet. The fire monitoring platform is used to analyze fire data.

4. According to the IoT-based smart fire protection integrated management system of claim 1, it is characterized by: The route analysis module includes a time import module, a destination import module, a route planning module, a road status collection platform and a route evaluation module. The time import module and the destination import module import information obtained from the fire monitoring platform, and plan multiple fire truck dispatch routes according to the location through the route planning module. The traffic conditions of the multiple routes are evaluated and predicted in real time according to the time period road condition data collected on the road status collection platform, and several dispatch routes with similar time are screened out. The selected dispatch routes are evaluated by the route evaluation module to obtain the best dispatch route.

5. According to the Internet of Things-based intelligent fire protection integrated management system of claim 4, it is characterized by: The road status acquisition platform includes a data acquisition module, a data processing and analysis module, and a data storage and management module. The data acquisition module collects various data related to the optimal route screening of fire trucks, including traffic information (such as road conditions, vehicle density, number of road intersections, etc.), fire scene data (such as fire location, fire size, etc.), historical traffic data, etc. The data processing and analysis module cleans the original data, removes errors and outliers, converts the data into a format that the system can process, and performs standardized processing, and then stores it in the data storage and management module.

6. According to the Internet of Things-based intelligent fire protection integrated management system of claim 1, it is characterized by: It also includes a fire truck navigation system and a traffic signal control system. An information sending module is arranged between the fire truck navigation system and the route evaluation module. The information sending module communicates with the fire truck navigation system via the Internet.

7. According to the Internet of Things-based intelligent fire protection integrated management system of claim 1, it is characterized by: The best dispatch route is: TTI = peak-hour driving time / off-peak driving time, where TTI is the congestion delay index, which reflects the increase in the time required for a vehicle to pass a certain section of road under congestion relative to the time required during off-peak hours (i.e. when traffic is flowing smoothly). The time required to pass each section of road is obtained through the data of historical off-peak driving time (i.e. when traffic is flowing smoothly) and peak-hour driving time (i.e. when traffic is congested) stored in the road status collection platform. If the police dispatch time is the peak-hour driving time (i.e. when traffic is congested), then the peak-hour driving time = off-peak driving time × congestion delay index, and the peak-hour driving time can be estimated, thereby obtaining the shortest time estimate to reach the destination.

8. According to the Internet of Things-based intelligent fire protection integrated management system of claim 6, it is characterized by: The traffic signal control system is connected to the fire truck navigation system via the Internet and is managed and controlled according to the traffic lights on the fire truck's route.

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