Building fire escape path planning method and device based on global information fusion
By using a building fire escape route planning method that integrates all-domain information and combines internal and external rescue factors, the optimal escape route is calculated, which solves the shortcomings of existing fire escape route planning technologies and achieves fast and accurate escape route guidance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- FUJIAN (QUANZHOU) HIT RESEARCH INSTITUTE OF ENGINEERING & TECHNOLOGY
- Filing Date
- 2022-10-26
- Publication Date
- 2026-05-29
AI Technical Summary
Existing methods for planning escape routes in building fires lack overall planning and real-time scheduling, resulting in ineffective fire disaster control and difficulty in rapid and accurate response. In particular, in complex and ever-changing fire scenarios, it is difficult to effectively prevent people from becoming congested and trapped.
By integrating information across the entire domain, we can obtain information such as traffic data between buildings and fire stations, firefighter skills and rescue equipment attributes, and attributes of people and objects inside buildings. We can then calculate traffic timeliness index and safety escape route evaluation value to determine the optimal escape route.
It enables real-time path planning throughout the entire fire lifecycle, maximizing the success rate of safe escape, avoiding congestion caused by information silos, and improving escape efficiency by combining external building rescue strategies.
Smart Images
Figure CN115796412B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent selection of fire escape routes, specifically to a method and device for planning building fire escape routes based on full-domain information fusion. Background Technology
[0002] Building fire safety escape is a global challenge for fire rescue. Several key factors limit its effectiveness: the compliance of the building's structural space, fire protection facilities, and digitalization level; the standardization and effectiveness of building safety management; the appropriateness of fire prevention and response methods; the coordination and orderliness of the surrounding urban environment; and the interconnection and interoperability of supporting fire-fighting forces and building information, along with corresponding emergency plans. Currently, much of this information is incomplete, relying heavily on manual fire inspections and prevention. This inevitably leads to oversights and information silos. Consequently, during fires, unclear escape routes, chaotic evacuations, and missed opportunities for optimal escape often result in irreparable losses. Scientifically sound and rational building fire safety escape route planning can effectively avoid the catastrophic consequences of such disorder and minimize losses. Currently published fire escape route plans generally lack multi-information integration, relying on single pieces of information such as images or positioning devices, making it difficult to achieve rapid and timely fire escape route planning.
[0003] In the existing technology, patent application number CN112949790A, entitled "A High-Rise Fire Escape Route Planning System, Method, Device, and Medium," uses image recognition of monitoring images to obtain the location information of the fire point and personnel location tags. The personnel location is used as the starting node, avoiding the fire point and areas where people gather, and using the path with the shortest travel time as the escape route. Simultaneously, the escape route is sent to its corresponding terminal to achieve rapid evacuation. This method mainly plans escape routes by recognizing fire points through image recognition. While this may be effective in simple fire scenarios, it struggles to overcome challenges such as smoke, randomly falling building obstacles, blocked safe areas, and the need for coordinated rescue efforts both inside and outside the building in complex and ever-changing fire scenarios, exhibiting significant shortcomings.
[0004] The patent application, CN112488401A, entitled "A Method and System for Guiding Fire Escape Routes," establishes multiple hierarchical models and constructs multiple judgment matrices based on different influencing factors affecting fire escape. Using an improved sparrow search algorithm, it performs consistency checks on the judgment matrices to determine the weight variation patterns of the influencing factors. Combining key route nodes and real-time fire conditions, it determines the specific weight values of the influencing factors, calculates the influence value of each escape path, arranges the influence values of the escape routes in ascending order, and selects the route with the smallest influence value as the real-time optimal path guidance. This method primarily optimizes escape routes through an improved sparrow search algorithm. However, it suffers from significant uncertainty in determining the influencing factors of fire escape, meaning that information acquisition is difficult to quantify, making its application in practice challenging. Summary of the Invention
[0005] The aforementioned issues, such as the lack of global planning and real-time scheduling of fire escape routes in most buildings, which hinders fire disaster control and rapid, accurate response, are addressed by this application. The purpose of this application is to propose a building fire escape route planning method and apparatus based on global information fusion to solve the technical problems mentioned in the background section.
[0006] In a first aspect, the present invention provides a building fire escape route planning method based on full-domain information fusion, comprising the following steps:
[0007] S1: Obtain traffic data between the building and each nearby fire station during a preset time period during the fire, and obtain the traffic congestion index based on the traffic data;
[0008] S2, obtain the firefighter skill attributes and the rescue equipment attributes that are matched with the building for each fire station, and obtain the corresponding fire handling strategy coefficient for each fire station based on the firefighter skill attributes and rescue equipment attributes;
[0009] S3 obtains the effective driving distance between buildings and fire stations, the speed of fire-fighting equipment and personnel, and the standard time under each fire station's response strategy. Based on the traffic congestion index, effective driving distance, speed of fire-fighting equipment and personnel, standard time under each fire station's response strategy, and fire handling strategy coefficient, the regional traffic timeliness index between each fire station and the building is obtained.
[0010] S4: Obtain the attributes of people in the building within a preset time period and their corresponding escape routes, as well as the object attributes, fire-fighting facility attributes, and fire exit unobstructed attributes corresponding to each escape route. Based on the personnel attributes, object attributes, fire-fighting facility attributes, fire exit unobstructed attributes, and the regional traffic timeliness index between each fire station and the building, obtain the building's internal safety escape route evaluation value. Based on the building's internal safety escape route evaluation value, determine the optimal escape route among several escape routes.
[0011] Preferably, the traffic data between the building and each nearby fire station includes the average speed of vehicle flow and the speed limit.
[0012] Preferably, in step S1, the traffic congestion index is obtained based on the traffic data, specifically including:
[0013] Calculate the traffic congestion index C of the traffic between each fire station and the building according to the following formula:
[0014] C i = 1 - v 1i / v 2i *Q i ;
[0015] Where, v 1i represents the average speed of vehicle flow between the i-th fire station and the building, v 2i represents the speed limit between the i-th fire station and the building, v1 ≤ v2, Q i is the weight factor corresponding to the i-th fire station and the building, i = 1, 2, 3...
[0016] Preferably, step S2 specifically includes:
[0017] Assign a value within the first preset value according to the comprehensive evaluation of the firefighters to obtain the firefighter skill attribute;
[0018] Assign a value within the second preset value according to the service life of the rescue equipment supporting the fire station and the building to obtain the rescue equipment attribute supporting the fire station and the building;
[0019] Calculate the fire disposal strategy coefficient corresponding to each fire station according to the following formula:
[0020]
[0021] Where, S i represents the fire disposal strategy coefficient corresponding to the i-th fire station, Ps i represents the firefighter technical attribute of the i-th fire station, E i represents the rescue equipment attribute supporting the i-th fire station and the building.
[0022] Preferably, step S3 specifically includes:
[0023] Calculate the regional traffic timeliness index Tr between each fire station and the building according to the following formula i :
[0024] Tr i = R i / (C i *v i ) + (Si *W i ) max ;
[0025] Among them, R i v represents the effective driving distance between the building and the i-th fire station. i W represents the speed of the firefighting equipment and personnel at the i-th fire station. i This indicates the standard time under different fire response strategies.
[0026] Preferably, step S4 involves obtaining the attributes of people within the building over a preset time period, their corresponding escape routes, and the object attributes, fire-fighting facility attributes, and fire escape route accessibility attributes corresponding to each escape route. Specifically, this includes:
[0027] Personnel attribute P is represented by the number of personnel;
[0028] The object properties O are calculated based on the volume and weight of objects in each escape route. b :
[0029] O b =J1V + J2W;
[0030] Where V represents the volume of the object, W represents the weight of the object, and J1 and J2 are the volume impediment coefficient and weight impediment coefficient, respectively.
[0031] The fire protection facility attribute is determined based on whether the fire protection facilities in the building are available. If the fire protection facilities are available, the fire protection facility attribute is set to 1; if the fire protection facilities are unavailable, the fire protection facility attribute F is set to 0.
[0032] The fire lane unobstructed attribute F is assigned within the third preset value range based on the occupancy status of the fire lane. t t represents time.
[0033] Preferably, in step S4, the internal safety escape route assessment value is obtained based on personnel attributes, object attributes, fire-fighting facility attributes, fire exit unobstructedness attributes, and the regional traffic efficiency index between each fire station and the building. Based on this assessment value, the optimal escape route among several escape routes is determined, specifically including:
[0034] The Safety Escape Route Assessment (SAFE) value for internal building escape routes is calculated using the following formula:
[0035] SAFE=B(P,O b ,F,F t ,Tr)=(O b L1+FL2+F t L3+TrL4) / P;
[0036] Among them, Lj The safety weight coefficients are j = 1, 2, 3, 4;
[0037] Within time t, the escape path with the highest internal building safety escape path evaluation value is selected as the optimal escape path.
[0038] Secondly, the present invention provides a building fire escape route planning device based on full-domain information fusion, comprising:
[0039] The traffic congestion index calculation module is configured to acquire traffic data between the building and each nearby fire station during a preset time period during a fire, and to obtain the traffic congestion index based on the traffic data.
[0040] The fire response strategy coefficient calculation module is configured to obtain the firefighter skill attributes and the rescue equipment attributes associated with the building for each fire station, and to obtain the corresponding fire response strategy coefficient for each fire station based on the firefighter skill attributes and the rescue equipment attributes.
[0041] The traffic timeliness index calculation module is configured to obtain the effective driving distance between buildings and fire stations, the speed of fire equipment and personnel, and the standard time under each fire station's response strategy within a preset time period. Based on the traffic congestion index, effective driving distance, speed of fire equipment and personnel, standard time under each fire station's response strategy, and fire handling strategy coefficient, the regional traffic timeliness index between each fire station and the building is obtained.
[0042] The path planning module is configured to obtain the attributes of people in the building and their corresponding escape routes, as well as the object attributes, fire-fighting facility attributes, and fire exit unobstructed attributes corresponding to each escape route. Based on the personnel attributes, object attributes, fire-fighting facility attributes, fire exit unobstructed attributes, and the regional traffic efficiency index between each fire station and the building, the module obtains the building's internal safety escape route evaluation value. Based on the building's internal safety escape route evaluation value, the module determines the optimal escape route among several escape routes.
[0043] Thirdly, the present invention provides an electronic device including one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any implementation of the first aspect.
[0044] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any of the implementations of the first aspect.
[0045] Compared with the prior art, the present invention has the following beneficial effects:
[0046] (1) The building fire escape route planning method based on full-domain information fusion proposed in this invention obtains the regional traffic timeliness index between each fire station and the building by taking into account the traffic congestion index, effective driving distance, fire equipment and personnel movement speed, standard time under each fire station's response strategy, and fire disposal strategy coefficient. Considering the external factors affecting fire rescue, the method further combines the internal attributes of personnel, objects, fire facilities, and fire passage unobstructedness to obtain the building's internal safety escape route evaluation value, which is used to guide the optimal escape route.
[0047] (2) The building fire escape route planning method based on full-domain information fusion proposed in this invention can integrate three major information systems: fire prevention, fire occurrence, and fire escape. It can obtain the maximum safe space and real-time planning of escape routes from the evolution of the entire fire life cycle, avoiding congestion or entrapment of people caused by information silos or one-sided information.
[0048] (3) The building fire escape path planning method based on full-domain information fusion proposed in this invention not only combines the fire escape strategy of the building itself, but also the external rescue strategy, so as to maximize the success rate of safe escape. Attached Figure Description
[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0050] Figure 1 This is an exemplary device architecture diagram in which an embodiment of this application can be applied;
[0051] Figure 2 This is a flowchart illustrating a building fire escape route planning method based on global information fusion, as an embodiment of this application.
[0052] Figure 3 This is a flowchart illustrating a building fire escape route planning method based on global information fusion, as an embodiment of this application.
[0053] Figure 4 This is a schematic diagram illustrating data acquisition between a fire station and a building in accordance with an embodiment of the building fire escape route planning method based on global information fusion, as described in this application.
[0054] Figure 5 This is a schematic diagram illustrating the acquisition of internal physical data of a building based on a building fire escape route planning method using global information fusion, as an embodiment of this application.
[0055] Figure 6 This is a schematic diagram of a building fire escape route planning device based on global information fusion, as an embodiment of this application.
[0056] Figure 7 This is a schematic diagram of the structure of a computer device suitable for implementing the electronic device of the present application. Detailed Implementation
[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.
[0058] Figure 1 An exemplary device architecture 100 is shown, which can be applied to the building fire escape route planning method or the building fire escape route planning device based on global information fusion according to the embodiments of this application.
[0059] like Figure 1 As shown, the device architecture 100 may include terminal devices 101, 102, and 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, and 103 and the server 105. The network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.
[0060] Users can use terminal devices 101, 102, and 103 to interact with server 105 via network 104 to receive or send messages, etc. Various applications, such as data processing applications and file processing applications, can be installed on terminal devices 101, 102, and 103.
[0061] Terminal devices 101, 102, and 103 can be either hardware or software. When terminal devices 101, 102, and 103 are hardware, they can be various electronic devices, including but not limited to smartphones, tablets, laptops, and desktop computers. When terminal devices 101, 102, and 103 are software, they can be installed in the electronic devices listed above. They can be implemented as multiple software programs or software modules (e.g., software programs or software modules used to provide distributed services) or as a single software program or software module. No specific limitations are imposed here.
[0062] Server 105 can be a server that provides various services, such as a background data processing server that processes files or data uploaded by terminal devices 101, 102, and 103. The background data processing server can process the acquired files or data and generate processing results.
[0063] It should be noted that the building fire escape route planning method based on full-domain information fusion provided in this application embodiment can be executed by server 105 or by terminal devices 101, 102, and 103. Correspondingly, the building fire escape route planning device based on full-domain information fusion can be set in server 105 or in terminal devices 101, 102, and 103.
[0064] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is merely illustrative. Any number of terminal devices, networks, and servers can be included depending on implementation needs. If the data being processed does not need to be retrieved remotely, the above architecture may not include a network, requiring only servers or terminal devices.
[0065] Figure 2 This application illustrates an embodiment of a building fire escape route planning method based on global information fusion, comprising the following steps:
[0066] S1: Obtain traffic data between the building and each nearby fire station during a preset time period during a fire, and obtain the traffic congestion index based on the traffic data.
[0067] In a specific embodiment, traffic data between the building and each nearby fire station includes average vehicle speed and speed limit.
[0068] In a specific embodiment, step S1, which obtains the traffic congestion index based on traffic data, specifically includes:
[0069] The traffic congestion index C between each fire station and building is calculated using the following formula:
[0070] C i =1-v 1i / v 2i *Q i ;
[0071] Among them, v 1i Let v represent the average speed of the traffic flow between the i-th fire station and the building. 2i Let Q represent the speed limit between the i-th fire station and the building, where v1 ≤ v2. i Let be the weighting factor corresponding to the i-th fire station and the building, i = 1, 2, 3...
[0072] For details, please refer to Figure 3 The traffic data between a building and each nearby fire station can be obtained according to the traffic data center of the urban operation management system, with strong real-time performance, and can quickly calculate the traffic congestion index C of the traffic between each fire station and the building, facilitating the subsequent calculation of the regional traffic timeliness index between each fire station and the building in combination with the fire disposal strategy coefficient corresponding to each fire station.
[0073] S2. Obtain the firefighter skill attributes of each fire station and the rescue equipment attributes supporting the building, and obtain the fire disposal strategy coefficient corresponding to each fire station according to the firefighter skill attributes and the rescue equipment attributes.
[0074] In a specific embodiment, step S2 specifically includes:
[0075] Assign values within a first preset value according to the comprehensive evaluation of the firefighters to obtain the firefighter skill attributes;
[0076] Assign values within a second preset value according to the service life of the rescue equipment supporting the fire station and the building to obtain the rescue equipment attributes of the fire station supporting the building;
[0077] Calculate the fire disposal strategy coefficient corresponding to each fire station according to the following formula:
[0078]
[0079] where S i represents the fire disposal strategy coefficient corresponding to the i-th fire station, Ps i represents the firefighter technical attributes of the i-th fire station, and E i represents the rescue equipment attributes of the i-th fire station supporting the building.
[0080] Specifically, referring to Figure 4 , establish a digital rescue model according to the building fire disposal strategy to form a digital system for external fire safety rescue of the building, which can be specifically measured according to the technical attributes of the firefighters in each fire station and the rescue equipment attributes supporting the building. Therefore, the external rescue strategy is considered, and the timeliness problem of the fire station and the building can be solved. Among them, the firefighter skill attributes are assigned values within the range of 10 to 100 according to the comprehensive evaluation of the firefighters; the rescue equipment attributes of the fire station supporting the building are assigned values within the range of 1 to 9 according to the service life of the rescue equipment supporting the fire station and the building.
[0081] S3 obtains the effective driving distance between buildings and fire stations, the speed of fire-fighting equipment and personnel, and the standard time under each fire station's response strategy. Based on the traffic congestion index, effective driving distance, speed of fire-fighting equipment and personnel, standard time under each fire station's response strategy, and fire handling strategy coefficient, the regional traffic timeliness index between each fire station and the building is obtained.
[0082] In a specific embodiment, step S3 specifically includes:
[0083] The regional traffic efficiency index Tr between each fire station and building is calculated using the following formula. i :
[0084] Tr i =R i / (C i *v i )+(S i *W i ) max ;
[0085] Among them, R i v represents the effective driving distance between the building and the i-th fire station. i W represents the speed of the firefighting equipment and personnel at the i-th fire station. i This indicates the standard time under different fire response strategies.
[0086] Specifically, the effective driving distance between the building and the i-th fire station, the speed of the fire-fighting equipment and personnel at the i-th fire station, and the standard time under different fire response strategies can all be obtained from the fire station information center. The data in the fire station information center can be obtained from data during routine fire drills. Further, a comprehensive evaluation is conducted by combining the dynamic traffic congestion index and fire response strategy coefficient corresponding to each fire station to determine the regional traffic timeliness index between each fire station and the building. All factors related to fire rescue at fire stations outside the building are taken into account, making the assessment more comprehensive and accurate. Finally, the most suitable fire station is determined, and the fire personnel and equipment of the most suitable fire station are selected to carry out rescue operations on the building. The regional traffic timeliness index between the most suitable fire station and the building is Tr.
[0087] S4: Obtain the attributes of people in the building within a preset time period and their corresponding escape routes, as well as the object attributes, fire-fighting facility attributes, and fire exit unobstructed attributes corresponding to each escape route. Based on the personnel attributes, object attributes, fire-fighting facility attributes, fire exit unobstructed attributes, and the regional traffic timeliness index between each fire station and the building, obtain the building's internal safety escape route evaluation value. Based on the building's internal safety escape route evaluation value, determine the optimal escape route among several escape routes.
[0088] In a specific embodiment, step S4 involves obtaining the attributes of people within a building over a preset time period, their corresponding escape routes, and the object attributes, fire-fighting facility attributes, and fire escape route accessibility attributes corresponding to each escape route. Specifically, this includes:
[0089] Personnel attribute P is represented by the number of personnel;
[0090] The object properties O are calculated based on the volume and weight of objects in each escape route. b :
[0091] O b =J1V + J2W;
[0092] Where V represents the volume of the object, W represents the weight of the object, and J1 and J2 are the volume impediment coefficient and weight impediment coefficient, respectively.
[0093] The fire protection facility attribute is determined based on whether the fire protection facilities in the building are available. If the fire protection facilities are available, the fire protection facility attribute is set to 1; if the fire protection facilities are unavailable, the fire protection facility attribute F is set to 0.
[0094] The fire lane unobstructed attribute F is assigned within the third preset value range based on the occupancy status of the fire lane. t t represents time.
[0095] Specifically, the escape route can be obtained using existing fire escape route planning algorithms. The embodiments of this application, based on the premise that several escape routes already exist, evaluate each escape route and select the optimal one to avoid the spread of fire. The principle of shortest distance and minimal crowding is used to rationally evacuate people from the building. Specific considerations include the internal conditions of the building and the availability of nearby fire stations. Since the situation of people inside the building, the objects along the escape routes, the condition of fire-fighting facilities, and the unobstructed access of fire exits are all important factors affecting fire rescue within the building, it is necessary to obtain the attributes of people in the building within a preset time period, along with their corresponding escape routes, and the object attributes, fire-fighting facility attributes, and fire exit unobstructed access attributes for each escape route. (Reference) Figure 5 A building physical information system (PISA) based on fire escape is constructed. This PISA system includes a building data center, which primarily comprises building security information acquired from building smart terminals and real-time image information of key building points. Personnel attributes (P) and object attributes (O) can also be obtained from the building data center. b Fire protection facility attribute F, fire escape route unobstructed attribute F t Traffic efficiency index Tr between fire stations and buildings, etc. Personnel attributes P can be obtained through personnel positioning systems, such as work cards, access control systems, and security systems, specifically represented by the number of personnel. Object attributes O... bThe data is primarily acquired through cameras or built-in network systems, mainly including the volume (V), weight (W), and material of objects within the escape route, as well as an assessment of factors that obstruct fire escape. This application's embodiments primarily use the volume and weight of objects as references, but other factors may be considered in combination in other embodiments. The volume, weight, and material of objects are obtained through 3D visual measurement and manual verification. The fire protection facility attribute F is mainly based on the BIM system and physical location to obtain its status and availability. Specifically, information such as the availability of fire protection facilities is obtained through the building information system and the sensor network built into the fire protection facilities, where available is 1 and unavailable is 0. The fire escape unobstructed attribute F... t The system primarily uses cameras to determine the occupancy status of fire lanes and provides a risk assessment. Specifically, it uses existing object recognition algorithms to determine whether fire lanes are occupied and assigns a value within the range of 0 to 1.
[0096] In a specific embodiment, step S4 involves obtaining an internal building safety escape route assessment value based on personnel attributes, object attributes, fire-fighting facility attributes, fire escape route unobstructedness attributes, and the regional traffic efficiency index between each fire station and the building. Based on this assessment value, the optimal escape route among several escape routes is determined, specifically including:
[0097] The Safety Escape Route Assessment (SAFE) value for internal building escape routes is calculated using the following formula:
[0098] SAFE=B(P,O b ,F,F t ,Tr)=(O b L1+FL2+F t L3+TrL4) / P;
[0099] Among them, L j The safety weight coefficients are j = 1, 2, 3, 4;
[0100] Within time t, the escape path with the highest internal building safety escape path evaluation value is selected as the optimal escape path.
[0101] Specifically, the building's internal safety escape route assessment value can be used for building fire prediction, simulation, and response. The escape route corresponding to the highest value of the building's internal safety escape route assessment value is selected as the optimal escape route. This method integrates full information of the building's fire protection ecosystem, thus possessing good anti-interference and practicality. It provides technical support for future urban building fire rescue and can more effectively solve the problem of building fire escape route planning. As time progresses and the fire situation changes, the building's internal safety escape route assessment value can automatically select safe passage areas and safe avoidance areas. Furthermore, it can trigger voice guidance and other signals through the building's Internet of Things system as guidance for the escape route.
[0102] The building fire escape route planning method based on full-domain information fusion proposed in this application integrates data from building physical information systems, building external fire safety rescue systems, urban traffic dispatch systems, building BIM systems, and urban 3D geographic information systems to conduct real-time evaluation of building fire escape routes. The optimal escape route is solved based on real-time dynamic information on the disaster situation and rescue efforts, achieving full-domain information fusion for disaster control, personnel escape, and rescue implementation, and determining the best escape route strategy. This method can also be used for digital simulation of building fire escape drills, improving the efficiency and quality of building fire response. This invention primarily protects the full-domain information fusion technology used in the building fire escape planning method; other methods extended based on this theoretical foundation are within the scope of this method.
[0103] Further reference Figure 6 As an implementation of the methods shown in the above figures, this application provides an embodiment of a building fire escape route planning device based on full-domain information fusion. This device embodiment is similar to... Figure 2 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices.
[0104] This application provides a building fire escape route planning device based on full-domain information fusion, including:
[0105] Traffic congestion index calculation module 1 is configured to acquire traffic data between the building and each nearby fire station during a preset time period during a fire, and to obtain the traffic congestion index based on the traffic data.
[0106] Fire response strategy coefficient calculation module 2 is configured to obtain the firefighter skill attributes and the rescue equipment attributes associated with the building for each fire station, and obtain the corresponding fire response strategy coefficient for each fire station based on the firefighter skill attributes and the rescue equipment attributes.
[0107] The traffic timeliness index calculation module 3 is configured to obtain the effective driving distance between buildings and fire stations, the speed of fire equipment and personnel, and the standard time under each fire station's response strategy within a preset time period. Based on the traffic congestion index, effective driving distance, speed of fire equipment and personnel, standard time under each fire station's response strategy, and fire handling strategy coefficient, the regional traffic timeliness index between each fire station and the building is obtained.
[0108] The path planning module 4 is configured to obtain the attributes of people in the building and their corresponding escape routes, as well as the object attributes, fire-fighting facility attributes, and fire exit unobstructed attributes corresponding to each escape route. Based on the attributes of people, objects, fire-fighting facilities, fire exit unobstructed attributes, and the regional traffic efficiency index between each fire station and the building, the evaluation value of the safe escape routes inside the building is obtained. Based on the evaluation value of the safe escape routes inside the building, the optimal escape route among several escape routes is determined.
[0109] The following is for reference. Figure 7 It illustrates an electronic device suitable for implementing embodiments of this application (e.g., Figure 1 The diagram shows the structure of a computer device 700 (a server or terminal device). Figure 7 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.
[0110] like Figure 7 As shown, the computer device 700 includes a central processing unit (CPU) 701 and a graphics processing unit (GPU) 702, which can perform various appropriate actions and processes according to programs stored in read-only memory (ROM) 703 or programs loaded from storage section 709 into random access memory (RAM) 704. The RAM 704 also stores various programs and data required for the operation of the device 700. The CPU 701, GPU 702, ROM 703, and RAM 704 are interconnected via a bus 705. An input / output (I / O) interface 706 is also connected to the bus 705.
[0111] The following components are connected to I / O interface 706: an input section 707 including a keyboard, mouse, etc.; an output section 708 including an LCD, speakers, etc.; a storage section 709 including a hard disk, etc.; and a communication section 710 including a network interface card, such as a LAN card, modem, etc. The communication section 710 performs communication processing via a network such as the Internet. A drive 711 may also be connected to I / O interface 706 as needed. A removable medium 712, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 711 as needed so that computer programs read from it can be installed into storage section 709 as needed.
[0112] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 710, and / or installed from removable medium 712. When the computer program is executed by central processing unit (CPU) 701 and graphics processing unit (GPU) 702, the functions defined in the methods of this application are performed.
[0113] It should be noted that the computer-readable medium described in this application can be a computer-readable signal medium, a computer-readable medium, or any combination thereof. A computer-readable medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor device, or any combination thereof. More specific examples of a computer-readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution device, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than a computer-readable medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution device, apparatus, or apparatus. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.
[0114] Computer program code for performing the operations of this application can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, and conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using dedicated hardware-based means to perform the specified function or operation, or using a combination of dedicated hardware and computer instructions.
[0116] The modules described in the embodiments of this application can be implemented in software or hardware. These modules can also be located within a processor.
[0117] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device is caused to: obtain traffic data between a building and each fire station in its vicinity during a preset time period during a fire, and obtain a traffic congestion index according to the traffic data; obtain the firefighter skill attributes of each fire station and the rescue equipment attributes supporting the building, and obtain the fire disposal strategy coefficient corresponding to each fire station according to the firefighter skill attributes and the rescue equipment attributes; obtain the effective driving distance between the building and the fire station, the advancing speed of fire-fighting equipment and personnel, and the standard time under the response strategy of each fire station, and obtain the regional traffic timeliness index between each fire station and the building according to the traffic congestion index, the effective driving distance, the advancing speed of fire-fighting equipment and personnel, the standard time under the response strategy of each fire station, and the fire disposal strategy coefficient corresponding to each fire station; obtain the personnel attributes in the building during the preset time period, their corresponding several escape routes, and the object attributes, fire-fighting facility attributes, and fire passage unobstructed attributes corresponding to each escape route, and obtain the internal safety escape route evaluation value of the building according to the personnel attributes, object attributes, fire-fighting facility attributes, fire passage unobstructed attributes, and the regional traffic timeliness index between each fire station and the building, and determine the optimal escape route among the several escape routes according to the internal safety escape route evaluation value of the building.
[0118] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solution formed by mutually replacing the above features with the (but not limited to) technical features having similar functions disclosed in the present application.
Claims
1. A building fire escape route planning method based on full-domain information fusion, characterized in that, It includes the following steps: S1. Obtain the traffic data between the building and each fire station in its vicinity during a preset time period during a fire. The traffic data between the building and each fire station in its vicinity includes the average vehicle speed and the restricted speed. Obtain the traffic congestion index based on the traffic data, specifically including: The traffic congestion index C between each fire station and the building is calculated using the following formula. i : C i =1-v 1i / v 2i *Q i ; Among them, v 1i Let v represent the average speed of the traffic flow between the i-th fire station and the building. 2i v represents the speed limit between the i-th fire station and the building. 1i ≤v 2i Q i Let i be the weighting factor corresponding to the i-th fire station and the building, where i = 1, 2, 3…; S2. Obtain the firefighter skill attributes of each fire station and the rescue equipment attributes supporting the building. Obtain the fire disposal strategy coefficient corresponding to each fire station based on the firefighter skill attributes and the rescue equipment attributes, specifically including: Assign a value within a first preset value according to the comprehensive evaluation of the firefighters to obtain the firefighter skill attributes; Assign a value within a second preset value according to the service life of the rescue equipment supporting the building and the fire station to obtain the rescue equipment attributes of the fire station supporting the building; Calculate the fire disposal strategy coefficient corresponding to each fire station according to the following formula: ； Among them, S i represents the fire disposal strategy coefficient corresponding to the i-th fire station, Ps i represents the firefighter skill attribute of the i-th fire station, E i represents the rescue equipment attribute of the i-th fire station that matches the building; S3. Obtain the effective driving distance between the building and the fire station, the traveling speed of the fire equipment and personnel, and the standard time under the response strategy of each fire station. Obtain the regional traffic timeliness index between each fire station and the building based on the traffic congestion index, effective driving distance, traveling speed of the fire equipment and personnel, standard time under the response strategy of each fire station, and the fire disposal strategy coefficient corresponding to each fire station; S4. Obtain the personnel attributes in the building during a preset time period, their corresponding several escape paths, and the object attributes, fire facility attributes, and fire passage unobstructed attributes corresponding to each escape path. Obtain the evaluation value of the safe escape path inside the building based on the personnel attributes, object attributes, fire facility attributes, fire passage unobstructed attributes, and the regional traffic timeliness index between each fire station and the building. Determine the optimal escape path among the several escape paths based on the evaluation value of the safe escape path inside the building.
2. The building fire escape route planning method based on full-domain information fusion according to claim 1, characterized in that, The specific steps of S3 include: The regional traffic efficiency index Tr between each fire station and the building is calculated using the following formula. i : ； Among them, R i v represents the effective driving distance between the building and the i-th fire station. i W represents the speed of the firefighting equipment and personnel at the i-th fire station. i This indicates the standard time under different fire response strategies.
3. The building fire escape route planning method based on full-domain information fusion according to claim 2, characterized in that, The specific steps of obtaining the personnel attributes in the building during a preset time period, their corresponding several escape paths, and the object attributes, fire facility attributes, and fire passage unobstructed attributes corresponding to each escape path in step S4 include: Represent the personnel attribute P by the number of people; The object attribute O is calculated based on the volume and weight of the object in each escape path. b : O b =J1V+J2W; Where, V represents the volume of the object, W represents the weight of the object, and J1 and J2 are the volume obstruction coefficient and the weight obstruction coefficient respectively; Determine the fire facility attributes according to whether the fire facilities in the building are available. If the fire facilities are available, set the fire facility attributes to 1. If the fire facilities are unavailable, set the fire facility attribute F to 0; The unobstructed attribute F of the fire lane is assigned within a third preset value based on the occupancy status of the fire lane. t t represents time.
4. The building fire escape route planning method based on full-domain information fusion according to claim 3, characterized in that, The specific steps of obtaining the evaluation value of the safe escape path inside the building based on the personnel attributes, object attributes, fire facility attributes, fire passage unobstructed attributes, and the regional traffic timeliness index between each fire station and the building, and determining the optimal escape path among the several escape paths based on the evaluation value of the safe escape path inside the building in step S4 include: Calculate the evaluation value of the safe escape path inside the building SAFE according to the following formula: SAFE=B(P,O b ,F,F t ,Tr i )=(O b L1+FL2+F t L3+Tr i L4) / P; Among them, L j For safety weighting coefficients, j=1,2,3,4; Select the escape path corresponding to the maximum evaluation value of the safe escape path inside the building within time t as the optimal escape path.
5. A building fire escape route planning device based on full-domain information fusion, characterized in that, It includes: A traffic congestion index calculation module, configured to obtain traffic data between the building and each nearby fire station during a fire within a preset time period, where the traffic data between the building and each nearby fire station includes the average vehicle speed and the restricted speed, and obtain a traffic congestion index according to the traffic data, specifically including: The traffic congestion index C between each fire station and the building is calculated using the following formula. i : C i =1-v 1i / v 2i *Q i ; Among them, v 1i Let v represent the average speed of the traffic flow between the i-th fire station and the building. 2i v represents the speed limit between the i-th fire station and the building. 1i ≤v 2i Q i Let i be the weighting factor corresponding to the i-th fire station and the building, where i = 1, 2, 3…; A fire response strategy coefficient calculation module, configured to obtain the firefighter skill attributes of each fire station and the rescue equipment attributes supporting the building, and obtain the fire response strategy coefficient corresponding to each fire station according to the firefighter skill attributes and the rescue equipment attributes, specifically including: Assign a value within a first preset value according to the comprehensive evaluation of the firefighters to obtain the firefighter skill attributes; Assign a value within a second preset value according to the service life of the rescue equipment supporting the building for the fire station to obtain the rescue equipment attributes supporting the building for the fire station; Calculate the fire response strategy coefficient corresponding to each fire station according to the following formula: ； Among them, S i represents the fire disposal strategy coefficient corresponding to the i-th fire station, and Ps i represents the firefighter skill attribute of the i-th fire station, and E i represents the rescue equipment attribute of the i-th fire station matching the building; A traffic timeliness index calculation module, configured to obtain the effective driving distance between the building and the fire station within a preset time period, the speed of the fire equipment and personnel movement, and the standard time under the response strategy of each fire station, and obtain the regional traffic timeliness index between each fire station and the building according to the traffic congestion index, effective driving distance, speed of the fire equipment and personnel movement, standard time under the response strategy of each fire station, and the fire response strategy coefficient corresponding to each fire station; A path planning module, configured to obtain the personnel attributes in the building and several corresponding escape paths, as well as the object attributes, fire facility attributes, and fire passage unobstructed attributes corresponding to each escape path, obtain an evaluation value of the internal safe escape path of the building according to the personnel attributes, object attributes, fire facility attributes, fire passage unobstructed attributes, and the regional traffic timeliness index between each fire station and the building, and determine the optimal escape path among the several escape paths according to the evaluation value of the internal safe escape path of the building.
6. An electronic device, comprising: One or more processors; A storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1-4.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method according to any one of claims 1-4.