CN115796412A - Building fire escape path planning method and device based on global information fusion - Google Patents
Building fire escape path planning method and device based on global information fusion Download PDFInfo
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Abstract
The invention discloses a building fire escape path planning method and device based on global information fusion. The optimal escape route is solved according to the internal conditions of the building and the real-time dynamic rescue information of fire stations around the building, so that disaster management and control, personnel escape and rescue implementation global information fusion are achieved, an optimal escape route strategy is determined, the efficiency and the quality of building fire disposal are improved, the maximum safety space and the real-time escape route planning can be obtained from the evolution of the whole life cycle of the fire, and the personnel jam or trapping caused by information islands or one-sided information is avoided.
Description
Technical Field
The invention relates to the field of intelligent selection of fire escape paths, in particular to a building fire escape path planning method and device based on global information fusion.
Background
The safe escape from building fire is a worldwide problem which troubles fire rescue. There are several major factors that are limited: whether the structural space, the fire-fighting facilities and the digitization level of the building are in compliance or not, whether the building safety management is in place or not, whether the building fire prevention and treatment method is proper or not, whether the city management of the surrounding environment of the building is in coordination and order or not, and whether the matched fire-fighting power and the building information are communicated and interconnected and have matched emergency plans or not. At present, most of the information is incomplete, and fire fighting investigation and prevention and control are mostly completed manually. The problems of omission, information isolated island and the like can be caused inevitably in the middle. Therefore, when a fire occurs, the escape route is unclear, the evacuation is disordered, the optimal escape time is missed, and a series of irreparable losses are caused. The scientific and reasonable building fire safety escape path planning can effectively avoid the disastrous results caused by the disorder and reduce the loss to the minimum. The existing published fire escape path planning generally lacks multi-information fusion, and is difficult to realize rapid and sudden fire escape path planning by depending on single information such as images or positioning devices.
In the prior art, a patent with the application number of CN112949790a, named as a system, a method, equipment and a medium for planning a fire escape path from a high-rise building, acquires position information of a combustion point and a positioning tag of a person by image recognition of a monitoring image, the person position is a starting node, the combustion point and a person gathering point are avoided, a path with the shortest moving time is used as an escape path of the person, and the escape path is sent to a corresponding terminal, so that the purpose of rapidly evacuating the person is achieved. The method mainly carries out escape path planning by identifying fire points through images, and is possibly effective in a simple fire scene, but for a complex and changeable fire scene, the defects are obvious in the aspects of smoke, random falling of building obstacles, blockage of a safety region, and coordination of internal and external rescue of a building.
The patent with the application number of CN112488401A and the patent name of a fire escape route guidance method and system establishes a plurality of corresponding hierarchical structure models for different influence factors influencing fire escape and establishes a plurality of judgment matrixes; on the basis of an improved sparrow search algorithm, consistency check is carried out on the judgment matrix, so that the weight change rule of the influence factors is determined; and determining specific weight values of the influence factors by combining the key route nodes and the real-time condition of the fire, thereby calculating the influence values of all escape routes, arranging the influence values of the escape routes in an ascending order, and guiding the route with the minimum influence value as a real-time optimal route. The method mainly realizes escape path optimization by improving a sparrow search algorithm, and more uncertainty exists in how to determine fire escape influence factors, namely, information acquisition is difficult to quantify, and more difficulty is caused in specific practice.
Disclosure of Invention
The method aims at the problems that the existing fire escape paths of most buildings lack global planning and real-time scheduling, and are not beneficial to fire disaster management and control, rapid and accurate disposal and the like. An embodiment of the present application aims to provide a building fire escape path planning method and device based on global information fusion, so as to solve the technical problems mentioned in the above background.
In a first aspect, the invention provides a building fire escape path planning method based on global information fusion, which comprises the following steps:
s1, acquiring traffic data between a building and each fire station nearby in a preset time period during a fire disaster, and obtaining a traffic jam index according to the traffic data;
s2, acquiring the skill attribute of a fireman of each fire station and the attribute of rescue equipment matched with a building, and acquiring a fire disposal strategy coefficient corresponding to each fire station according to the skill attribute of the fireman and the attribute of the rescue equipment;
s3, acquiring the effective traveling distance between the building and the fire station, the traveling speed of fire fighting equipment and personnel and the standard time under the coping strategy of each fire station, and acquiring the regional traffic aging index between each fire station and the building according to the traffic congestion index, the effective traveling distance, the traveling speed of the fire fighting equipment and personnel, the standard time under the coping strategy of each fire station and the fire dealing strategy coefficient corresponding to each fire station;
s4, acquiring personnel attributes in the building within a preset time period, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting equipment attributes and fire passageway unblocked attributes corresponding to each escape path, acquiring a building interior safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting equipment attributes, the fire passageway unblocked attributes and regional traffic aging index between each fire station and the building, and determining an optimal escape path in the escape paths according to the building interior safety escape path evaluation value.
Preferably, the traffic data between the building and each of the fire stations in the vicinity thereof includes the average speed per hour of the traffic flow and the speed per hour of the restricted driving.
Preferably, the step S1 of obtaining the traffic congestion index according to the traffic data specifically includes:
calculating a traffic congestion index C for traffic between each fire station and the building according to the following formula:
C i ＝1-v 1i /v 2i *Q i ；
wherein v is 1i Representing the average speed per hour, v, of traffic flow between the ith fire station and the building 2i Indicating the speed per hour, v, of the restriction between the ith station and the building 1 ≤v 2 ，Q i And the weighting factor corresponding to the ith fire station and the building is i =1,2,3 ….
Preferably, step S2 specifically includes:
assigning values within a first preset value according to comprehensive evaluation of the firefighter to obtain the skill attribute of the firefighter;
assigning a value within a second preset value according to the service life of the rescue equipment matched with the fire station and the building to obtain the attribute of the rescue equipment matched with the fire station and the building;
calculating the fire disposal strategy coefficient corresponding to each fire station according to the following formula:
wherein S is i Represents the fire disaster disposal strategy coefficient, ps corresponding to the ith fire station i Indicating the firefighter technical Attribute for the ith fire station, E i And the attribute of the rescue equipment matched with the building at the ith fire station is represented.
Preferably, step S3 specifically includes:
calculating the regional traffic aging index Tr between each fire station and the building according to the following formula i ：
Tr i ＝R i /(C i *v i )+(S i *W i ) max ；
Wherein R is i Indicating the effective travel distance, v, between the building and the ith fire station i Indicating the traveling speed, W, of the fire-fighting equipment and the person at the ith fire station i Indicating standard times under different fire fighting strategies.
Preferably, the step S4 of obtaining attributes of people in the building within a preset time period, a plurality of escape paths corresponding to the attributes, and an object attribute, a fire-fighting facility attribute and a fire-fighting access unblocked attribute corresponding to each escape path includes:
representing the personnel attribute P by the number of personnel;
calculating to obtain an object attribute O according to the volume and the weight of the object in each escape path b ：
O b ＝J 1 V+J 2 W；
Wherein V represents the volume of the object, W represents the weight of the object, J 1 And J 2 Respectively, a volume blocking coefficient and a weight blocking coefficient;
determining the attribute of the fire-fighting equipment according to whether the fire-fighting equipment is available in the building, if the fire-fighting equipment is available, setting the attribute of the fire-fighting equipment to be 1, and if the fire-fighting equipment is unavailable, setting the attribute of the fire-fighting equipment to be 0;
assigning values in a third preset numerical value according to the occupation condition of the fire fighting access to obtain the unblocked attribute F of the fire fighting access t And t is time.
Preferably, in step S4, a building interior safety escape path evaluation value is obtained according to the personnel attribute, the object attribute, the fire protection facility attribute, the fire passage unblocked attribute and the regional traffic aging index between each fire station and the building, and an optimal escape path in the escape paths is determined according to the building interior safety escape path evaluation value, which specifically includes:
calculating to obtain a safety escape path assessment value SAFE in the building according to the following formula:
SAFE＝B(P,O b ,F,F t ,Tr)＝(O b L 1 +FL 2 +F t L 3 +TrL 4 )/P；
wherein L is j J =1,2,3,4 for the safety weight coefficient;
and selecting the escape path corresponding to the maximum evaluation value of the safe escape path in the building as the optimal escape path within the time t.
In a second aspect, the present invention provides a building fire escape path planning device based on global information fusion, including:
the traffic jam index calculation module is configured to acquire traffic data between the building in a preset time period and each fire station nearby the building in the preset time period during the fire, and obtain a traffic jam index according to the traffic data;
the fire disposal strategy coefficient calculation module is configured to obtain the skill attribute of a fireman of each fire station and the attribute of rescue equipment matched with the building, and obtain the fire disposal strategy coefficient corresponding to each fire station according to the skill attribute of the fireman and the attribute of the rescue equipment;
the traffic aging index calculation module is configured to acquire an effective traveling distance between the building and the fire station in a preset time period, a fire fighting equipment and personnel traveling speed and standard time under a coping strategy of each fire station, and acquire a regional traffic aging index between each fire station and the building according to a traffic jam index, the effective traveling distance, the fire fighting equipment and personnel traveling speed, the standard time under the coping strategy of each fire station and a fire disposal strategy coefficient corresponding to each fire station;
the path planning module is configured to acquire personnel attributes in the building, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting facility attributes and fire passageway unblocked attributes corresponding to each escape path, obtain a building interior safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting facility attributes, the fire passageway unblocked attributes and regional traffic aging index between each fire station and the building, and determine an optimal escape path in the escape paths according to the building interior safety escape path evaluation value.
In a third aspect, the invention provides an electronic device comprising one or more processors; a storage device for storing one or more programs which, when executed by one or more processors, cause the one or more processors to implement a method as described in any implementation of the first aspect.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method as described in any of the implementations of the first aspect.
Compared with the prior art, the invention has the following beneficial effects:
(1) The building fire escape path planning method based on the universe information fusion obtains the regional traffic aging index between each fire station and the building through the traffic congestion index, the effective running distance, the fire equipment and personnel traveling speed, the standard time under the coping strategy of each fire station and the fire disposal strategy coefficient corresponding to each fire station, considers the factors of the building external influence on fire rescue, and further obtains the building internal safety escape path evaluation value by combining the personnel attribute, the object attribute, the fire facility attribute and the fire passage unblocked attribute inside the building so as to guide the optimal escape path.
(2) The building fire escape path planning method based on global information fusion can fuse three information systems of fire prevention, fire occurrence and fire escape, can evolve from the whole life cycle of a fire, obtains the maximum safe space and the real-time escape path planning, and avoids personnel jam or trapping caused by information isolated islands or one-sided information.
(3) The building fire escape path planning method based on the global information fusion not only combines the fire escape strategy of a building body, but also combines an external rescue strategy, so that the safe escape success coefficient is maximized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is an exemplary device architecture diagram in which one embodiment of the present application may be applied;
fig. 2 is a schematic flowchart of a building fire escape path planning method based on global information fusion according to an embodiment of the present application;
fig. 3 is a block diagram of a flow chart of a building fire escape path planning method based on global information fusion according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating data acquisition between a fire station and a building according to the global information fusion-based building fire escape path planning method according to the embodiment of the present application;
fig. 5 is a schematic diagram of building internal physical data acquisition of a building fire escape path planning method based on global information fusion according to an embodiment of the present application;
fig. 6 is a schematic diagram of a building fire escape path planning apparatus based on global information fusion according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a computer device suitable for implementing an electronic apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 illustrates an exemplary device architecture 100 to which a global information fusion-based building fire escape path planning method or a global information fusion-based building fire escape path planning device according to an embodiment of the present application may be applied.
As shown in fig. 1, the apparatus architecture 100 may include terminal devices 101, 102, 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, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 101, 102, 103 to interact with a server 105 over a network 104 to receive or send messages or the like. Various applications, such as data processing type applications, file processing type applications, etc., may be installed on the terminal apparatuses 101, 102, 103.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server that provides various services, such as a background data processing server that processes files or data uploaded by the terminal devices 101, 102, 103. The background data processing server can process the acquired file or data to generate a processing result.
It should be noted that the building fire escape route planning method based on global information fusion provided in the embodiment of the present application may be executed by the server 105, or may also be executed by the terminal devices 101, 102, and 103, and accordingly, the building fire escape route planning apparatus based on global information fusion may be installed in the server 105, or may also be installed in the terminal devices 101, 102, and 103.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. In the case where the processed data does not need to be acquired from a remote location, the above device architecture may not include a network, but only a server or a terminal device.
Fig. 2 shows a building fire escape path planning method based on global information fusion, which is provided by an embodiment of the application and comprises the following steps:
s1, acquiring traffic data between a building in a preset time period and each fire station nearby the building in the preset time period during a fire disaster, and obtaining a traffic jam index according to the traffic data.
In a particular embodiment, the traffic data between the building and each of the fire stations in the vicinity thereof includes the flow average speed per hour and the restricted speed per hour.
In a specific embodiment, the obtaining of the traffic congestion index according to the traffic data in step S1 specifically includes:
calculating a traffic congestion index C for traffic between each fire station and the building according to the following formula:
C i ＝1-v 1i /v 2i *Q i ；
wherein v is 1i Representing the average speed per hour, v, of traffic flow between the ith fire station and the building 2i Shows the restricted speed per hour, v, between the ith fire station and the building 1 ≤v 2 ，Q i And the weighting factor corresponding to the ith fire station and the building is i =1,2,3 ….
Specifically, referring to fig. 3, traffic data between the building and each of the fire stations nearby the building can be acquired according to a traffic data center of the urban operation management system, so that the real-time performance is high, the traffic congestion index C of traffic between each of the fire stations and the building can be quickly calculated, and the regional traffic aging index between each of the fire stations and the building can be conveniently calculated by subsequently combining with the fire disposal policy coefficient corresponding to each of the fire stations.
And S2, acquiring the skill attribute of the firemen of each fire station and the attribute of rescue equipment matched with the building, and acquiring the corresponding fire handling strategy coefficient of each fire station according to the skill attribute of the firemen and the attribute of the rescue equipment.
In a specific embodiment, step S2 specifically includes:
assigning values within a first preset value according to comprehensive evaluation of the firefighter to obtain the skill attribute of the firefighter;
assigning a value within a second preset value according to the service life of the rescue equipment matched with the fire station and the building to obtain the attribute of the rescue equipment matched with the fire station and the building;
calculating the fire disposal strategy coefficient corresponding to each fire station according to the following formula:
wherein S is i Represents the fire disaster disposal strategy coefficient, ps corresponding to the ith fire station i Indicating the firefighter technical Attribute for the ith fire station, E i And the attribute of the rescue equipment matched with the building at the ith fire station is represented.
Specifically, referring to fig. 4, according to a building fire disposal strategy, a digital rescue model is established to form a building external fire safety rescue digital system, and specifically, the measurement can be performed according to the technical attributes of firefighters at each fire station and the attributes of rescue equipment matched with the building, so that the external rescue strategy is considered, and the aging problem of the fire stations and the building can be solved. Wherein, the skill attribute of the firemen is assigned within the range of 10-100 according to the comprehensive evaluation of the firemen; the attribute of the rescue equipment matched with the fire station and the building is assigned within the range of 1-9 according to the service life of the rescue equipment matched with the fire station and the building.
And S3, acquiring the effective traveling distance between the building and the fire station, the traveling speed of the fire equipment and personnel and the standard time under the coping strategy of each fire station, and acquiring the regional traffic aging index between each fire station and the building according to the traffic congestion index, the effective traveling distance, the traveling speed of the fire equipment and personnel, the standard time under the coping strategy of each fire station and the fire dealing strategy coefficient corresponding to each fire station.
In a specific embodiment, step S3 specifically includes:
calculating the regional traffic aging index Tr between each fire station and the building according to the following formula i ：
Tr i ＝R i /(C i *v i )+(S i *W i ) max ；
Wherein R is i Indicating the effective travel distance, v, between the building and the ith fire station i Indicating the traveling speed, W, of the fire-fighting equipment and the person at the ith fire station i Indicating standard times under different fire fighting strategies.
Specifically, the effective traveling distance between the building and the ith fire station, the fire protection equipment and personnel traveling speed of the ith fire station and the standard time under different fire protection coping strategies can be obtained through the fire protection station information center, the data of the fire protection station information center can be obtained from the data in the ordinary fire protection drilling process, the traffic congestion index and the fire disposal strategy coefficient corresponding to each dynamic fire protection station are further combined for comprehensive evaluation, the regional traffic timeliness index between each fire protection station and the building is determined, all the factors related to fire rescue of the fire protection stations outside the building are taken into consideration, the most appropriate fire protection station is finally determined, the most appropriate fire protection station is selected, and the most appropriate fire protection station fire protection personnel and equipment are selected to rescue the building, wherein the regional traffic timeliness index between the most appropriate fire protection station and the building is Tr.
S4, acquiring personnel attributes in the building within a preset time period, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting equipment attributes and fire passageway unblocked attributes corresponding to each escape path, acquiring a building interior safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting equipment attributes, the fire passageway unblocked attributes and regional traffic aging index between each fire station and the building, and determining an optimal escape path in the escape paths according to the building interior safety escape path evaluation value.
In a specific embodiment, the step S4 of obtaining attributes of people in the building within a preset time period, a plurality of escape paths corresponding to the attributes, and an object attribute, a fire-fighting facility attribute and a fire-fighting access smooth attribute corresponding to each escape path includes:
representing the personnel attribute P by the number of the personnel;
calculating to obtain an object attribute O according to the volume and the weight of the object in each escape path b ：
O b ＝J 1 V+J 2 W；
Wherein V represents the volume of the object, W represents the weight of the object, J 1 And J 2 Respectively, a volume blocking coefficient and a weight blocking coefficient;
determining the attribute of the fire-fighting equipment according to whether the fire-fighting equipment is available in the building, if the fire-fighting equipment is available, setting the attribute of the fire-fighting equipment to be 1, and if the fire-fighting equipment is unavailable, setting the attribute of the fire-fighting equipment to be 0;
assigning values in a third preset numerical value according to the occupation condition of the fire fighting access to obtain the unblocked attribute F of the fire fighting access t And t is time.
Specifically, the escape routes can be obtained by an existing fire escape route planning algorithm, in the embodiment of the application, on the premise that a plurality of escape routes exist, each escape route is evaluated, the optimal escape route is selected, the spread route of a fire is avoided, people in a building are reasonably evacuated on the basis of the shortest route and the uncongested route, and the internal condition of the building is specifically considered and the condition of a fire station near the building is combined. Because the personnel condition inside the building, the object condition inside the escape path, the fire-fighting equipment condition and the unblocked fire passage condition are all important factors influencing the fire rescue inside the building, the personnel attribute inside the building in the preset time period, a plurality of corresponding escape paths, and the object attribute, the fire-fighting equipment attribute and the unblocked fire passage attribute corresponding to each escape path need to be obtained. Referring to fig. 5, building physics based on fire escapeThe building physical information system is provided with a building data center, the building data center mainly comprises building security information and building key point implementation image information which are acquired from a building intelligent terminal, and personnel attributes P and object attributes O can be acquired from the building data center b Property of fire-fighting equipment F and property of fire-fighting channel unblocked t And regional traffic aging index Tr between the fire station and the building. The personnel attribute P can be obtained through a personnel positioning system, such as a work card, an access control system, a security system and the like, and is specifically expressed by the number of personnel. Object property O b The fire escape system is mainly obtained through a camera or a network system, and mainly comprises the volume V, the weight W, the material of an object in an escape path, evaluation on factors of obstruction caused by fire escape and the like. Wherein, the volume, the weight and the material of the object are obtained by 3D vision measurement and manual check. The fire fighting equipment attributes F are based primarily on the BIM system and physical location to obtain their status and availability. Specifically, information such as whether the fire fighting equipment is available or not is acquired through a sensing network built in the building informatization system and the fire fighting equipment, wherein the available value is 1, and the unavailable value is 0. Fire passage unblocked attribute F t The occupation condition of the fire fighting channel is mainly obtained through the camera, risk assessment is given, whether the fire fighting channel is occupied or not is obtained through an existing object recognition algorithm, and assignment is carried out within the range of 0-1.
In a specific embodiment, in step S4, a building interior safety escape path evaluation value is obtained according to a person attribute, an object attribute, a fire protection facility attribute, a fire passage unblocked attribute, and a regional traffic aging index between each fire station and the building, and an optimal escape path in the escape paths is determined according to the building interior safety escape path evaluation value, which specifically includes:
calculating to obtain a safety escape path evaluation value SAFE inside the building according to the following formula:
SAFE＝B(P,O b ,F,F t ,Tr)＝(O b L 1 +FL 2 +F t L 3 +TrL 4 )/P；
wherein L is j J =1,2,3,4 for the safety weight coefficient;
and selecting the escape path corresponding to the maximum safety escape path evaluation value in the building as the optimal escape path within the time t.
Specifically, the building internal safety escape path evaluation value can be used for building fire prediction, previewing and disposal, the escape path corresponding to the numerical value with the maximum building internal safety escape path evaluation value is selected as the optimal escape path, the method integrates all information of a building fire protection ecosystem, and therefore the method has good anti-interference performance and practicability, provides technical support for future urban building fire rescue, can effectively solve building fire escape path planning, can automatically select a safe accessible area, a safe evasive area and the like according to the building internal safety escape path evaluation value along with the time t, and can trigger signals such as voice guide and the like through a building internet of things system to serve as guidance of the escape path.
According to the building fire escape path planning method based on the universe information fusion, the building fire escape path is evaluated in real time by fusing data of a building physical information system, a building external fire safety rescue system, an urban traffic scheduling system, a building BIM system, urban 3D geographic information and other systems. And solving the optimal escape path according to disaster situations and real-time dynamic rescue information, achieving global information fusion of disaster situation management and control, personnel escape and rescue implementation, and determining an optimal escape path strategy. The method can also be used for building fire escape drilling digital simulation, and the efficiency and the quality of building fire disposal are improved. The invention mainly protects the global information fusion technology adopted in the building fire escape planning method, and other methods expanded according to the theoretical basis are all within the range of the method.
With further reference to fig. 6, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of a building fire escape path planning apparatus based on global information fusion, which corresponds to the embodiment of the method shown in fig. 2, and which can be applied to various electronic devices.
The embodiment of the application provides a building fire escape path planning device based on universe information fusion, which comprises:
the traffic jam index calculation module 1 is configured to acquire traffic data between a building and each fire station nearby the building within a preset time period during a fire disaster and obtain a traffic jam index according to the traffic data;
the fire disposal strategy coefficient calculation module 2 is configured to obtain the skill attribute of a fireman of each fire station and the attribute of rescue equipment matched with a building, and obtain the fire disposal strategy coefficient corresponding to each fire station according to the skill attribute of the fireman and the attribute of the rescue equipment;
the traffic aging index calculation module 3 is configured to acquire an effective travel distance between the building and the fire station in a preset time period, a fire fighting equipment and personnel traveling speed and standard time under a coping strategy of each fire station, and acquire a regional traffic aging index between each fire station and the building according to a traffic congestion index, the effective travel distance, the fire fighting equipment and personnel traveling speed, the standard time under the coping strategy of each fire station and a fire disposal strategy coefficient corresponding to each fire station;
the path planning module 4 is configured to acquire personnel attributes in the building, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting equipment attributes and fire passageway unblocked attributes corresponding to each escape path, obtain a building interior safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting equipment attributes, the fire passageway unblocked attributes and the regional traffic aging index between each fire station and the building, and determine an optimal escape path in the escape paths according to the building interior safety escape path evaluation value.
Referring now to fig. 7, a schematic diagram of a computer device 700 suitable for use in implementing an electronic device (e.g., the server or terminal device shown in fig. 1) according to an embodiment of the present application is shown. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer apparatus 700 includes a Central Processing Unit (CPU) 701 and a Graphics Processing Unit (GPU) 702, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 703 or a program loaded from a storage section 709 into a Random Access Memory (RAM) 704. In the RAM704, various programs and data necessary for the operation of the apparatus 700 are also stored. The CPU 701, GPU702, ROM 703, and RAM704 are connected to each other via a bus 705. An input/output (I/O) interface 706 is also connected to bus 705.
The following components are connected to the I/O interface 706: an input section 707 including a keyboard, a mouse, and the like; an output section 708 including a display such as a Liquid Crystal Display (LCD) and a speaker; a storage section 709 including a hard disk and the like; and a communication section 710 including a network interface card such as a LAN card, a modem, or the like. The communication section 710 performs communication processing via a network such as the internet. The driver 711 may also be connected to the I/O interface 706 as needed. A removable medium 712 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 711 as necessary, so that a computer program read out therefrom is mounted into the storage section 709 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication section 710, and/or installed from the removable media 712. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 701 and a Graphics Processing Unit (GPU) 702.
It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable medium or any combination of the two. The computer readable medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or a combination of any of the foregoing. More specific examples of the computer readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution apparatus, device, or apparatus. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution apparatus, device, or apparatus. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based devices that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present application may be implemented by software or hardware. The modules described may also be provided in a processor.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring traffic data between a building in a preset time period and each fire station nearby the building during a fire disaster, and acquiring a traffic jam index according to the traffic data; acquiring the skill attribute of a fireman of each fire station and the attribute of rescue equipment matched with a building, and acquiring a fire disposal strategy coefficient corresponding to each fire station according to the skill attribute of the fireman and the attribute of the rescue equipment; acquiring an effective traveling distance between a building and a fire station, a fire fighting device and personnel traveling speed and standard time under a coping strategy of each fire station, and acquiring a regional traffic aging index between each fire station and the building according to a traffic congestion index, an effective traveling distance, a fire fighting device and personnel traveling speed, the standard time under the coping strategy of each fire station and a fire disaster disposal strategy coefficient corresponding to each fire station; the method comprises the steps of obtaining personnel attributes in a building in a preset time period, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting facility attributes and fire passageway unblocked attributes corresponding to each escape path, obtaining a building interior safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting facility attributes, the fire passageway unblocked attributes and regional traffic aging indexes between each fire station and the building, and determining an optimal escape path in the escape paths according to the building interior safety escape path evaluation value.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A building fire escape path planning method based on global information fusion is characterized by comprising the following steps:
s1, acquiring traffic data between the building and each fire station nearby the building in a preset time period during a fire disaster, and obtaining a traffic jam index according to the traffic data;
s2, acquiring the skill attribute of a fireman of each fire station and the attribute of rescue equipment matched with the building, and acquiring a fire disposal strategy coefficient corresponding to each fire station according to the skill attribute of the fireman and the attribute of the rescue equipment;
s3, acquiring an effective traveling distance between the building and the fire stations, a fire fighting equipment and personnel traveling speed and standard time under a coping strategy of each fire station, and acquiring a regional traffic aging index between each fire station and the building according to the traffic jam index, the effective traveling distance, the fire fighting equipment and personnel traveling speed, the standard time under the coping strategy of each fire station and a fire disaster dealing strategy coefficient corresponding to each fire station;
s4, acquiring personnel attributes in the building within a preset time period, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting equipment attributes and fire-fighting channel unblocked attributes corresponding to each escape path, obtaining a building internal safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting equipment attributes, the fire-fighting channel unblocked attributes and regional traffic aging indexes between each fire station and the building, and determining an optimal escape path in the escape paths according to the building internal safety escape path evaluation value.
2. The global information fusion-based building fire escape path planning method according to claim 1, wherein the traffic data between the building and each fire station nearby comprises a traffic flow average speed per hour and a restricted speed per hour.
3. The building fire escape path planning method based on global information fusion as claimed in claim 2, wherein the obtaining of the traffic congestion index according to the traffic data in the step S1 specifically includes:
calculating the traffic congestion index C for traffic between each fire station and the building according to:
C i ＝1-v 1i /v 2i *Q i ；
wherein v is 1i Representing the average speed per hour, v, of traffic flow between the ith fire station and the building 2i Indicating between the ith fire station and the buildingSpeed per hour, v 1 ≤v 2 ，Q i And the weight factor corresponding to the building for the ith fire station is i =1,2,3 ….
4. The method for building fire escape path planning based on global information fusion as claimed in claim 3, wherein the step S2 specifically comprises:
assigning values within a first preset numerical value according to comprehensive evaluation of the firefighters to obtain the skill attributes of the firefighters;
assigning a value within a second preset numerical value according to the service life of the rescue equipment matched with the fire station and the building to obtain the attribute of the rescue equipment matched with the fire station and the building;
calculating the fire disposal strategy coefficient corresponding to each fire station according to the following formula:
wherein S is i Represents the fire disaster disposal strategy coefficient, ps corresponding to the ith fire station i Indicating the firefighter technical Attribute for the ith fire station, E i And indicating the property of rescue equipment matched with the building at the ith fire station.
5. The method for building fire escape path planning based on global information fusion as claimed in claim 4, wherein the step S3 specifically comprises:
calculating a regional traffic aging index Tr between each fire station and the building according to the following formula i ：
Tr i ＝R i /(C i *v i )+(S i *W i ) max ；
Wherein R is i Representing the effective driving distance between the building and the ith fire station, v i Indicating the traveling speed, W, of the fire-fighting equipment and the person at the ith fire station i Indicating standard times under different fire fighting strategies.
6. The building fire escape path planning method based on global information fusion of claim 5, wherein the step S4 of obtaining personnel attributes in the building within a preset time period and a plurality of escape paths corresponding to the personnel attributes, and an object attribute, a fire protection facility attribute and a fire protection channel unblocked attribute corresponding to each escape path specifically comprises:
representing the person attribute P by the number of persons;
calculating to obtain the object attribute O according to the volume and the weight of the object in each escape path b ：
O b ＝J 1 V+J 2 W；
Wherein V represents the volume of the object, W represents the weight of the object, J 1 And J 2 Respectively, a volume blocking coefficient and a weight blocking coefficient;
determining the fire-fighting equipment attribute according to whether fire-fighting equipment is available in the building, wherein if the fire-fighting equipment is available, the fire-fighting equipment attribute is set to 1, and if the fire-fighting equipment is unavailable, the fire-fighting equipment attribute F is set to 0;
assigning values in a third preset numerical value according to the occupation condition of the fire fighting access to obtain the unblocked attribute F of the fire fighting access t And t is time.
7. The building fire escape path planning method based on global information fusion as claimed in claim 6, wherein in the step S4, a building internal safety escape path evaluation value is obtained according to the personnel attribute, the object attribute, the fire protection facility attribute, the fire passage unblocked attribute and the regional traffic aging index between each fire station and the building, and an optimal escape path in the escape paths is determined according to the building internal safety escape path evaluation value, which specifically comprises:
calculating to obtain the SAFE (safety escape Path assessment) value in the building according to the following formula:
SAFE＝B(P,O b ,F,F t ,Tr)＝(O b L 1 +FL 2 +F t L 3 +TrL 4 )/P；
wherein L is j J =1,2,3,4 for the safety weight coefficient;
and selecting the escape path corresponding to the maximum evaluation value of the safe escape path in the building as the optimal escape path within the time t.
8. A building fire escape path planning device based on global information fusion is characterized by comprising:
the traffic jam index calculation module is configured to acquire traffic data between the building and each fire station nearby the building in a preset time period during a fire disaster, and obtain a traffic jam index according to the traffic data;
the fire disposal strategy coefficient calculation module is configured to obtain the skill attribute of a fireman of each fire station and the attribute of rescue equipment matched with the building, and obtain the fire disposal strategy coefficient corresponding to each fire station according to the skill attribute of the fireman and the attribute of the rescue equipment;
the traffic aging index calculation module is configured to acquire an effective travel distance between the building and the fire station, a fire fighting equipment and personnel traveling speed and standard time under a coping strategy of each fire station in a preset time period, and acquire a regional traffic aging index between each fire station and the building according to the traffic congestion index, the effective travel distance, the fire fighting equipment and personnel traveling speed, the standard time under the coping strategy of each fire station and a fire disposal strategy coefficient corresponding to each fire station;
the path planning module is configured to acquire personnel attributes in the building, a plurality of escape paths corresponding to the personnel attributes, and object attributes, fire-fighting equipment attributes and fire-fighting channel unblocked attributes corresponding to each escape path, acquire a building internal safety escape path evaluation value according to the personnel attributes, the object attributes, the fire-fighting equipment attributes, the fire-fighting channel unblocked attributes and regional traffic aging indexes between each fire station and the building, and determine an optimal escape path in the escape paths according to the building internal safety escape path evaluation value.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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