CN116468193A - Fire-fighting intelligent positioning escape navigation method and system based on BIM model - Google Patents
Fire-fighting intelligent positioning escape navigation method and system based on BIM model Download PDFInfo
- Publication number
- CN116468193A CN116468193A CN202310433709.XA CN202310433709A CN116468193A CN 116468193 A CN116468193 A CN 116468193A CN 202310433709 A CN202310433709 A CN 202310433709A CN 116468193 A CN116468193 A CN 116468193A
- Authority
- CN
- China
- Prior art keywords
- evacuation
- information
- space
- building
- fire
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000009792 diffusion process Methods 0.000 claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims description 16
- 239000000463 material Substances 0.000 claims description 13
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 7
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 description 7
- 238000000926 separation method Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 239000000779 smoke Substances 0.000 description 6
- 238000005192 partition Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002341 toxic gas Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Civil Engineering (AREA)
- Computational Mathematics (AREA)
- Architecture (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Structural Engineering (AREA)
- Primary Health Care (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Alarm Systems (AREA)
- Emergency Lowering Means (AREA)
Abstract
The embodiment of the invention provides a fire-fighting intelligent positioning escape navigation method and a fire-fighting intelligent positioning escape navigation system for a BIM model, wherein the method comprises the following steps: acquiring BIM model information of a target building; judging whether the indoor structure information is in a basic structure shape, if not, dividing the indoor structure information into the basic structure shape, and determining a data set of the basic structure shape; acquiring the space type of a target building, determining the corresponding evacuation space level, and sequentially forming a building evacuation network according to the evacuation space level based on the data set of the indoor structural information; when a fire situation is detected, collecting current fire related information to construct a fire prediction diffusion model, and generating evacuation indexes of all outlets in a target building; and generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network and each outlet and the position information of the personnel to be evacuated. By adopting the method, the personnel to be evacuated can be ensured to synthesize the actual condition of the building and the actual condition of the fire disaster, and the safest and rapid evacuation path can be determined.
Description
Technical Field
The invention belongs to the technical field of fire escape, and particularly relates to a fire-fighting intelligent positioning escape navigation method and system based on a BIM model.
Background
Fire is a disaster caused by burning which is out of control in time or space, is a common disaster in all parts of the world, not only can cause the property loss of countries or individuals, but also can influence the personal safety of disaster parties, and along with the increasing of modern buildings at present, the problem of building fire is increasingly prominent, and becomes the most threatening fire problem which affects the personal safety, so that the escape navigation technology of indoor fire environment becomes an important subject for coping with the problem of building fire.
At present, technicians research corresponding navigation means aiming at the condition of indoor fire, compared with outdoor navigation combined with escape navigation of indoor fire, the navigation means has the problems of inaccurate navigation indication and low navigation efficiency, but for some complex indoor environments, the current navigation means cannot give the most accurate evacuation path, and deviation exists in the judgment of fire forms, so that personal safety of people to be evacuated is threatened.
Disclosure of Invention
Aiming at the problems existing in the prior art, the embodiment of the invention provides a fire-fighting intelligent positioning escape navigation method and system based on a BIM model.
The embodiment of the invention provides a fire-fighting intelligent positioning escape navigation method based on a BIM model, which comprises the following steps:
obtaining BIM model information of a target building, wherein the BIM model information comprises the following steps: geometric information, material information, topology information and indoor structure information of building components;
judging whether the indoor structural information is in a basic structural shape, and when the indoor structural information is not in the basic structural shape, dividing the indoor structural information into the basic structural shape, and determining a data set of the basic structural shape, wherein the data set comprises a room component, a dividing line and an outlet;
acquiring the space type of the indoor space of the target building, determining a corresponding evacuation space grade according to the space type, and sequentially forming a building evacuation network according to the evacuation space grade based on the data set of the indoor structure information;
when the condition of fire disaster of a target building is detected, current fire disaster related information is collected, a fire disaster prediction diffusion model is built by combining the BIM model information and the fire disaster related information, and evacuation indexes of all outlets in the target building are generated according to the fire disaster prediction diffusion model;
and generating a corresponding optimal evacuation path by combining the building evacuation network, the evacuation indexes of all exits and the position information of the personnel to be evacuated.
In one embodiment, the method further comprises:
step 201, searching an indoor space containing the target building total outlet, and marking the indoor space as the highest-level evacuation space;
step 202, acquiring a highest-level data set corresponding to the highest-level evacuation space, and searching an indoor space connected with a dividing line and an outlet in the highest-level data set, wherein the indoor space is marked as a second-level evacuation space;
step 203, repeating step 202 until all indoor spaces of the target building complete the marking of the evacuation space level, and generating a corresponding building evacuation network by taking each indoor space as a node and the evacuation space level as a node level.
In one embodiment, the method further comprises:
acquiring an associated monitoring module of the preferred evacuation path, acquiring a people flow state of the preferred evacuation path through the associated monitoring module, and calculating evacuation time in real time through the people flow state;
the generating a corresponding optimized evacuation path by combining evacuation indexes of the building evacuation network and each outlet and position information of people to be evacuated comprises the following steps:
generating a corresponding pre-evacuation path by combining the building evacuation network, the evacuation indexes of each exit and the position information of the personnel to be evacuated, and then calculating evacuation time in real time by combining the traffic state to generate a final evacuation path.
In one embodiment, the method further comprises:
generating a visibility change model, a carbon monoxide concentration change model and a temperature change model in a target building according to the fire prediction diffusion model;
and determining an evacuation index of each outlet in the target building through the visibility change model, the carbon monoxide concentration change model, the temperature change model and the corresponding model weights, wherein the evacuation index comprises: visibility, carbon monoxide concentration, temperature.
In one embodiment, the method further comprises:
and calculating personnel passing time based on the building evacuation network and the position information of the personnel to be evacuated, and determining a preferred evacuation path by taking evacuation space levels and evacuation indexes of all exits as weights and combining the personnel passing time.
The embodiment of the invention provides a fire-fighting intelligent positioning escape navigation system based on a BIM model, which comprises the following components:
the system comprises an acquisition module, a target building and a target building, wherein the acquisition module is used for acquiring BIM model information of the target building, and the BIM model information comprises: geometric information, material information, topology information and indoor structure information of building components;
the judging module is used for judging whether the indoor structural information is in a basic structural shape, dividing the indoor structural information into the basic structural shape when the indoor structural information is not in the basic structural shape, and determining a data set of the basic structural shape, wherein the data set comprises a room component, a dividing line and an outlet;
the network module is used for acquiring the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and forming a building evacuation network according to the evacuation space grade in sequence based on the data set of the indoor structure information;
the diffusion model module is used for collecting current fire related information when the condition of fire of the target building is detected, constructing a fire prediction diffusion model by combining the BIM model information and the fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model;
the path module is used for generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network, the evacuation indexes of each outlet and the position information of the personnel to be evacuated.
In one embodiment, the system further comprises:
the searching module is used for searching an indoor space containing the target building total outlet and marking the indoor space as the highest-level evacuation space;
the second acquisition module is used for acquiring the highest-level data set corresponding to the highest-level evacuation space, searching the indoor space connected with the dividing line and the outlet in the highest-level data set and marking the indoor space as a second-level evacuation space;
and the node module is used for repeating the processing steps of the second acquisition module until all indoor spaces of the target building finish the marking of the evacuation space grades, taking each indoor space as a node, taking the evacuation space grade as a node grade, and generating a corresponding building evacuation network.
In one embodiment, the system further comprises:
the monitoring module is used for acquiring the association monitoring module of the preferred evacuation path, acquiring the people flow state of the preferred evacuation path through the association monitoring module, and calculating the evacuation time in real time through the people flow state;
the second path module is used for generating a corresponding pre-evacuation path by combining evacuation indexes of the building evacuation network, the evacuation indexes of all exits and the position information of people to be evacuated, and then calculating evacuation time in real time by combining the people flow state to generate a final evacuation path.
The embodiment of the invention provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the intelligent fire control positioning escape navigation method based on a BIM model when executing the program.
The embodiment of the invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the steps of the fire-fighting intelligent positioning escape navigation method based on a BIM model.
The embodiment of the invention provides a fire-fighting intelligent positioning escape navigation method and a fire-fighting intelligent positioning escape navigation system based on a BIM (building information management) model, which acquire BIM model information of a target building, wherein the BIM model information comprises the following components: geometric information, material information, topology information and indoor structure information of building components; judging whether the indoor structure information is in a basic structure shape or not, and when the indoor structure information is not in the basic structure shape, dividing the indoor structure information into the basic structure shape, and determining a data set of the basic structure shape, wherein the data set comprises a room component, a dividing line and an outlet; acquiring the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and sequentially forming a building evacuation network according to the evacuation space grade based on the data set of the indoor structure information; when the fire situation of the target building is detected, collecting current fire related information, constructing a fire prediction diffusion model by combining BIM model information and fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model; and generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network and each outlet and the position information of the personnel to be evacuated. Therefore, after the indoor structure is divided into the basic shapes, the basic shapes are graded, an evacuation network is constructed, the evacuation indexes of the exits are combined to comprehensively determine the optimal evacuation path, the fact that people to be evacuated can synthesize the actual conditions of the building and the actual conditions of the fire disaster is guaranteed, and the safest and rapid evacuation path is determined.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a fire-fighting intelligent positioning escape navigation method based on a BIM model in an embodiment of the invention;
FIG. 2 is a block diagram of a building evacuation network in accordance with an embodiment of the present invention;
FIG. 3 is a block diagram of a diffusion model of fire smoke in an embodiment of the invention;
fig. 4 is a flowchart of determining an optimal evacuation path according to an embodiment of the present invention;
FIG. 5 is a block diagram of a fire-fighting intelligent positioning escape navigation system based on a BIM model in an embodiment of the invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a schematic flow chart of a fire-fighting intelligent positioning escape navigation method based on a BIM model according to an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a fire-fighting intelligent positioning escape navigation method based on a BIM model, including:
step S101, BIM model information of a target building is obtained, wherein the BIM model information comprises the following steps: geometric information, material information, topology information and indoor structure information of building components.
Specifically, the related BIM model information of the target building is obtained, the method can be used for obtaining building information of the target building of a building database, the model can be used for modeling for Revit, then geometrical information, material information, topology information, indoor structure information and the like of building components in the building information are read through a Revit API, the geometrical information comprises starting point coordinates, thickness, height and the like of the components, the material information comprises material quality and flammability information of the components, and the topology information comprises connection information of model space and connection information of doors, windows and channels.
Step S102, judging whether the indoor structure information is in a basic structure shape, and when the indoor structure information is not in the basic structure shape, dividing the indoor structure information into the basic structure shape, and determining a data set of the basic structure shape, wherein the data set comprises a room component, a dividing line and an outlet.
Specifically, whether the indoor structure information is a basic structure shape or not is judged, that is, whether the structure of each indoor in the target building is simple or not is judged, wherein the simple basic structure shape can be rectangular, T-shaped, L-shaped, cross-shaped and the like, the complex non-basic structure shape can be an indoor structure with other shapes, such as a back-shaped corridor and the like, when the indoor structure information is not the basic structure shape, the indoor structure information is divided into the basic structure shape, and a data set corresponding to the basic structure shape is determined, because the basic structure shape is formed by components and room dividing lines in a model, such as a Revit model, the geometric information of the components and the room dividing lines and an outlet set are used as a data set of an evacuation unit in an algorithm, and the data set can embody the constitution of a single basic structure shape in the model.
Step S103, obtaining the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and forming a building evacuation network according to the evacuation space grade in sequence based on the data set of the indoor structure information.
Specifically, the space type of the indoor space of the target building is obtained, the corresponding evacuation space level is determined according to the space type, wherein the evacuation space level is the safety level when evacuating, for example, the indoor space connected with the total exit of the building has the highest evacuation space level, the connected corridor, stairs and the like are the next highest evacuation space level, the other functional rooms sequentially determine the evacuation space level according to the distance between the functional rooms and the total exit and the number of the middle spacing rooms, the evacuation space level of the functional room farthest from the total exit is the lowest, a building evacuation network is sequentially formed according to the evacuation space level based on the data set of the indoor structure information, the building evacuation network can be as shown in fig. 2, and the specific building evacuation network determining step can be as follows:
1. determining a top-level evacuation space containing the total outlet according to the total outlet;
2. forming a data set of the top evacuation space, and inquiring a door or a room separation line of a non-total outlet in the data set;
3. sequentially inquiring and naming the next-stage evacuation space containing the doors and the room separation lines by taking the number of the doors or the room separation lines in step 2 as a cycle;
4. recording the name of the next-stage evacuation space connected with the top-layer evacuation space;
5. forming a data set of a next-stage evacuation space;
6. repeating the steps 2-5;
7. ending the cyclic inquiry when the current evacuation space does not have the next-stage space;
in addition, in the 1 st to 2 nd steps of the formation algorithm of the building evacuation network, the formation of individual evacuation spaces is also a circulation algorithm, the algorithm is required to be used in the process of forming each level of evacuation space, and the algorithm process is as follows:
1. selecting a current non-previous level outlet ei (door or room separation line), writing an individual evacuation space dataset as a first item of the dataset;
writing ei into a common parameter e0, and reading geometrical coordinate information P1 of an endpoint on the right side or the upper side of the ei;
3. traversing the components and the separation lines on the current plane, finding out components and separation lines with end point information containing P1, calculating the included angles between the components and the separation lines as well as between the components and the ei, selecting the component with the minimum included angle to write the ei, and writing new ei geometric information into a data set;
4. repeating steps 2-3, stopping the loop when ei is repeated with the first item of the dataset;
5. and finishing the inquiry of the current individual evacuation space.
Step S104, when the fire situation of the target building is detected, collecting current fire related information, constructing a fire prediction diffusion model by combining the BIM model information and the fire related information, and generating evacuation indexes of all exits in the target building according to the fire prediction diffusion model.
Specifically, when it is detected that a fire situation occurs in a target building, it is indicated that navigation is required to be performed on personnel in the target building, current fire related information is collected, wherein the fire related situation may include a fire source position (may also be inferred according to a smoke situation in the building), smoke data (including a concentration, a temperature, etc., may also be inferred according to a fire situation and a fire cause), a toxic gas concentration, etc., and then a fire prediction diffusion model is constructed by combining BIM model information and fire related information, wherein the fire prediction model may be established and corrected based on the fire related information and the building related information through FDS (Fire Dynamics Simulator) numerical simulation software, wherein the fire prediction diffusion model may be constructed by performing control with three indexes, including: the visibility, the concentration of carbon monoxide and the temperature under the influence of smoke, a specific diffusion model of fire smoke can be shown as a figure 3, and then the evacuation index of each outlet in a target building is determined according to the diffusion model, specifically, the smoke or high temperature in the fire prediction diffusion model is diffused to the outlet more slowly, and the higher the evacuation level of the outlet is, the higher the safety coefficient is.
Step S105, generating a corresponding preferred evacuation path by combining the evacuation indexes of the building evacuation network, each exit, and the location information of the people to be evacuated.
Specifically, in combination with the evacuation space level of each indoor space in the building evacuation network, each outlet includes both a connection node of each indoor space and a corresponding evacuation index, then the evacuation space level and the evacuation index of each outlet are respectively taken as weights, and the optimal path of people to be evacuated in each area is calculated in combination with the personnel passing time of the real-time position information of the people to be evacuated, and the specific steps can be shown in fig. 4.
In addition, according to the possible non-uniqueness of the indoor exit, the preferred method of evacuation path adopts the improved Floyd algorithm, and the calculated weight has two weight values: evacuation time at the exit or movement time within the partition and risk level of the partition. Generating an evacuation network according to the current position of pedestrians, and calculating the shortest evacuation path according to an improved Floyd algorithm. The node weights comprise evacuation time and danger degree, and the connection boundary weights are transit time.
In addition, the associated monitoring module of the optimal evacuation path can be obtained, the people flow state of the optimal evacuation path is collected through the associated monitoring module, and the evacuation time is calculated in real time through the people flow state; generating a corresponding pre-evacuation path by combining the evacuation indexes of the building evacuation network and each exit and the position information of the personnel to be evacuated, and then calculating the evacuation time in real time by combining the traffic state to generate a final evacuation path, wherein the specific steps can include:
and monitoring according to cameras arranged at each key outlet, and acquiring the personnel density at the outlet and the people flow rate at the outlet in real time. And collecting the number and the flow of pedestrians at the outlets in real time, and analyzing the current position real-time pedestrian evacuation time according to the calculation model.
Acquiring the number (Q) of people near an inter-partition junction exit gate based on an image recognition technology, and calculating the time for all people to pass through the gate according to the following formula:
N′ i -a coefficient of passage of the door numbered i;
B′ i -a door exit width numbered i;
d-crowd density at exit gate;
the total time for safely evacuating pedestrians i out of the venue is the sum of the time for passing through the exit door and the time length of the indoor moving route:
L j -the connection distance from outlet to outlet in the model space;
v j -the speed of movement of the pedestrian.
The embodiment of the invention provides a fire-fighting intelligent positioning escape navigation method based on a BIM (building information modeling) model, which comprises the steps of: geometric information, material information, topology information and indoor structure information of building components; judging whether the indoor structure information is in a basic structure shape or not, and when the indoor structure information is not in the basic structure shape, dividing the indoor structure information into the basic structure shape, and determining a data set of the basic structure shape, wherein the data set comprises a room component, a dividing line and an outlet; acquiring the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and sequentially forming a building evacuation network according to the evacuation space grade based on the data set of the indoor structure information; when the fire situation of the target building is detected, collecting current fire related information, constructing a fire prediction diffusion model by combining BIM model information and fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model; and generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network and each outlet and the position information of the personnel to be evacuated. Therefore, after the indoor structure is divided into the basic shapes, the basic shapes are graded, an evacuation network is constructed, the evacuation indexes of the exits are combined to comprehensively determine the optimal evacuation path, the fact that people to be evacuated can synthesize the actual conditions of the building and the actual conditions of the fire disaster is guaranteed, and the safest and rapid evacuation path is determined.
Fig. 5 is a diagram of a fire-fighting intelligent positioning escape navigation system based on a BIM model according to an embodiment of the present invention, including: an acquisition module S201, a judgment module S202, a network module S203, a diffusion model module S204, and a path module S205, wherein:
an obtaining module S201, configured to obtain BIM model information of a target building, where the BIM model information includes: geometric information, material information, topology information and indoor structure information of building components.
And the judging module S202 is used for judging whether the indoor structural information is in a basic structural shape, dividing the indoor structural information into the basic structural shape when the indoor structural information is not in the basic structural shape, and determining a data set of the basic structural shape, wherein the data set comprises a room component, a dividing line and an outlet.
The network module S203 is configured to obtain a space type of an indoor space of the target building, determine a corresponding evacuation space level according to the space type, and sequentially form a building evacuation network according to the evacuation space level based on the data set of the indoor structure information.
And the diffusion model module S204 is used for collecting current fire related information when the fire condition of the target building is detected, constructing a fire prediction diffusion model by combining the BIM model information and the fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model.
The path module S205 is configured to combine the building evacuation network, the evacuation indexes of each exit, and the location information of the person to be evacuated to generate a corresponding preferred evacuation path.
In one embodiment, the system further comprises:
and the searching module is used for searching the indoor space containing the target building total outlet and marking the indoor space as the highest-level evacuation space.
The second acquisition module is used for acquiring the highest-level data set corresponding to the highest-level evacuation space, searching the indoor space connected with the dividing line and the outlet in the highest-level data set, and marking the indoor space as a second-level evacuation space.
And the node module is used for repeating the processing steps of the second acquisition module until all indoor spaces of the target building finish the marking of the evacuation space grades, taking each indoor space as a node, taking the evacuation space grade as a node grade, and generating a corresponding building evacuation network.
In one embodiment, the system further comprises:
the monitoring module is used for acquiring the association monitoring module of the preferred evacuation path, acquiring the people flow state of the preferred evacuation path through the association monitoring module, and calculating the evacuation time in real time through the people flow state.
The second path module is used for generating a corresponding pre-evacuation path by combining evacuation indexes of the building evacuation network, the evacuation indexes of all exits and the position information of people to be evacuated, and then calculating evacuation time in real time by combining the people flow state to generate a final evacuation path.
The specific limitation of the fire-fighting intelligent positioning escape navigation system based on the BIM model can be referred to the limitation of the fire-fighting intelligent positioning escape navigation method based on the BIM model, and is not repeated herein. All or part of each module in the fire-fighting intelligent positioning escape navigation system based on the BIM model can be realized by software, hardware and combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Fig. 6 illustrates a physical schematic diagram of an electronic device, as shown in fig. 6, which may include: a processor (processor) 301, a memory (memory) 302, a communication interface (Communications Interface) 303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication interface 303 perform communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: obtaining BIM model information of a target building, wherein the BIM model information comprises the following steps: geometric information, material information, topology information and indoor structure information of building components; judging whether the indoor structure information is in a basic structure shape or not, and when the indoor structure information is not in the basic structure shape, dividing the indoor structure information into the basic structure shape, and determining a data set of the basic structure shape, wherein the data set comprises a room component, a dividing line and an outlet; acquiring the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and sequentially forming a building evacuation network according to the evacuation space grade based on the data set of the indoor structure information; when the fire situation of the target building is detected, collecting current fire related information, constructing a fire prediction diffusion model by combining BIM model information and fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model; and generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network and each outlet and the position information of the personnel to be evacuated.
Further, the logic instructions in memory 302 described above may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the transmission method provided in the above embodiments, for example, including: obtaining BIM model information of a target building, wherein the BIM model information comprises the following steps: geometric information, material information, topology information and indoor structure information of building components; judging whether the indoor structure information is in a basic structure shape or not, and when the indoor structure information is not in the basic structure shape, dividing the indoor structure information into the basic structure shape, and determining a data set of the basic structure shape, wherein the data set comprises a room component, a dividing line and an outlet; acquiring the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and sequentially forming a building evacuation network according to the evacuation space grade based on the data set of the indoor structure information; when the fire situation of the target building is detected, collecting current fire related information, constructing a fire prediction diffusion model by combining BIM model information and fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model; and generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network and each outlet and the position information of the personnel to be evacuated.
The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The intelligent fire-fighting positioning escape navigation method based on the BIM model is characterized by comprising the following steps of:
obtaining BIM model information of a target building, wherein the BIM model information comprises the following steps: geometric information, material information, topology information and indoor structure information of building components;
judging whether the indoor structural information is in a basic structural shape, and when the indoor structural information is not in the basic structural shape, dividing the indoor structural information into the basic structural shape, and determining a data set of the basic structural shape, wherein the data set comprises a room component, a dividing line and an outlet;
acquiring the space type of the indoor space of the target building, determining a corresponding evacuation space grade according to the space type, and sequentially forming a building evacuation network according to the evacuation space grade based on the data set of the indoor structure information;
when the condition of fire disaster of a target building is detected, current fire disaster related information is collected, a fire disaster prediction diffusion model is built by combining the BIM model information and the fire disaster related information, and evacuation indexes of all outlets in the target building are generated according to the fire disaster prediction diffusion model;
and generating a corresponding optimal evacuation path by combining the building evacuation network, the evacuation indexes of all exits and the position information of the personnel to be evacuated.
2. The method for intelligent positioning, escaping and navigation based on fire protection of BIM model according to claim 1, wherein the steps of obtaining the space type of the indoor space of the target building, determining the corresponding evacuation space level, forming the evacuation network of the building according to the evacuation space level in turn based on the data set of the indoor structure information, comprises:
step 201, searching an indoor space containing the target building total outlet, and marking the indoor space as the highest-level evacuation space;
step 202, acquiring a highest-level data set corresponding to the highest-level evacuation space, and searching an indoor space connected with a dividing line and an outlet in the highest-level data set, wherein the indoor space is marked as a second-level evacuation space;
step 203, repeating step 202 until all indoor spaces of the target building complete the marking of the evacuation space level, and generating a corresponding building evacuation network by taking each indoor space as a node and the evacuation space level as a node level.
3. The BIM model-based fire protection intelligent positioning escape navigation method of claim 2, wherein the method further comprises:
acquiring an associated monitoring module of the preferred evacuation path, acquiring a people flow state of the preferred evacuation path through the associated monitoring module, and calculating evacuation time in real time through the people flow state;
the generating a corresponding optimized evacuation path by combining evacuation indexes of the building evacuation network and each outlet and position information of people to be evacuated comprises the following steps:
generating a corresponding pre-evacuation path by combining the building evacuation network, the evacuation indexes of each exit and the position information of the personnel to be evacuated, and then calculating evacuation time in real time by combining the traffic state to generate a final evacuation path.
4. The method for intelligent fire positioning and escape navigation based on a BIM model according to claim 1, wherein the generating evacuation indexes of each exit in the target building according to the fire prediction diffusion model includes:
generating a visibility change model, a carbon monoxide concentration change model and a temperature change model in a target building according to the fire prediction diffusion model;
and determining an evacuation index of each outlet in the target building through the visibility change model, the carbon monoxide concentration change model, the temperature change model and the corresponding model weights, wherein the evacuation index comprises: visibility, carbon monoxide concentration, temperature.
5. The method for intelligent positioning, escaping and navigation based on the fire protection of the BIM model according to claim 1, wherein the generating a corresponding preferred evacuation path by combining the evacuation indexes of the building evacuation network, each exit and the position information of the person to be evacuated comprises:
and calculating personnel passing time based on the building evacuation network and the position information of the personnel to be evacuated, and determining a preferred evacuation path by taking evacuation space levels and evacuation indexes of all exits as weights and combining the personnel passing time.
6. Fire control intelligence location navigation of fleing based on BIM model, characterized in that, the system includes:
the system comprises an acquisition module, a target building and a target building, wherein the acquisition module is used for acquiring BIM model information of the target building, and the BIM model information comprises: geometric information, material information, topology information and indoor structure information of building components;
the judging module is used for judging whether the indoor structural information is in a basic structural shape, dividing the indoor structural information into the basic structural shape when the indoor structural information is not in the basic structural shape, and determining a data set of the basic structural shape, wherein the data set comprises a room component, a dividing line and an outlet;
the network module is used for acquiring the space type of the indoor space of the target building, determining the corresponding evacuation space grade according to the space type, and forming a building evacuation network according to the evacuation space grade in sequence based on the data set of the indoor structure information;
the diffusion model module is used for collecting current fire related information when the condition of fire of the target building is detected, constructing a fire prediction diffusion model by combining the BIM model information and the fire related information, and generating evacuation indexes of all outlets in the target building according to the fire prediction diffusion model;
the path module is used for generating a corresponding optimal evacuation path by combining the evacuation indexes of the building evacuation network, the evacuation indexes of each outlet and the position information of the personnel to be evacuated.
7. The BIM model-based fire protection intelligent positioning escape navigation method of claim 6, wherein the system further comprises:
the searching module is used for searching an indoor space containing the target building total outlet and marking the indoor space as the highest-level evacuation space;
the second acquisition module is used for acquiring the highest-level data set corresponding to the highest-level evacuation space, searching the indoor space connected with the dividing line and the outlet in the highest-level data set and marking the indoor space as a second-level evacuation space;
and the node module is used for repeating the processing steps of the second acquisition module until all indoor spaces of the target building finish the marking of the evacuation space grades, taking each indoor space as a node, taking the evacuation space grade as a node grade, and generating a corresponding building evacuation network.
8. The BIM model-based fire protection intelligent positioning escape navigation method of claim 7, wherein the system further comprises:
the monitoring module is used for acquiring the association monitoring module of the preferred evacuation path, acquiring the people flow state of the preferred evacuation path through the association monitoring module, and calculating the evacuation time in real time through the people flow state;
the second path module is used for generating a corresponding pre-evacuation path by combining evacuation indexes of the building evacuation network, the evacuation indexes of all exits and the position information of people to be evacuated, and then calculating evacuation time in real time by combining the people flow state to generate a final evacuation path.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the BIM model based fire protection intelligent positioning escape navigation method of any one of claims 1 to 5.
10. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of the BIM model based fire protection intelligent positioning escape navigation method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310433709.XA CN116468193A (en) | 2023-04-18 | 2023-04-18 | Fire-fighting intelligent positioning escape navigation method and system based on BIM model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310433709.XA CN116468193A (en) | 2023-04-18 | 2023-04-18 | Fire-fighting intelligent positioning escape navigation method and system based on BIM model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116468193A true CN116468193A (en) | 2023-07-21 |
Family
ID=87183926
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310433709.XA Pending CN116468193A (en) | 2023-04-18 | 2023-04-18 | Fire-fighting intelligent positioning escape navigation method and system based on BIM model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116468193A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117035323A (en) * | 2023-08-14 | 2023-11-10 | 深圳嘉瑞建设信息科技有限公司 | Method and system for scheduling and distributing fire-fighting resources in building based on BIM data |
-
2023
- 2023-04-18 CN CN202310433709.XA patent/CN116468193A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117035323A (en) * | 2023-08-14 | 2023-11-10 | 深圳嘉瑞建设信息科技有限公司 | Method and system for scheduling and distributing fire-fighting resources in building based on BIM data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10275683B2 (en) | Clustering-based person re-identification | |
| CN110020433B (en) | Industrial and commercial high-management name disambiguation method based on enterprise incidence relation | |
| CN110033164B (en) | Risk assessment and decision method for reservoir group combined flood control scheduling | |
| Tokgoz et al. | Resilience quantification and its application to a residential building subject to hurricane winds | |
| CN107908889B (en) | Multi-objective optimization deployment method for water quality monitoring network with part of monitoring points selected in advance | |
| CN111027743B (en) | OD optimal path searching method and device based on hierarchical road network | |
| CN105426375B (en) | A kind of calculation method and device of relational network | |
| CN107423742A (en) | The determination method and device of crowd's flow | |
| CN117078048B (en) | Digital twinning-based intelligent city resource management method and system | |
| CN116468193A (en) | Fire-fighting intelligent positioning escape navigation method and system based on BIM model | |
| Cho et al. | An automated direction setting algorithm for a smart exit sign | |
| CN114689058B (en) | Fire evacuation path planning method based on deep learning and hybrid genetic algorithm | |
| CN115545359B (en) | Dynamic intelligent evacuation method and device for complex building fire | |
| CN115830010B (en) | Method and device for detecting crossing distance of transmission wires and computer equipment | |
| Keke et al. | STGA-CBR: a case-based reasoning method based on spatiotemporal trajectory similarity assessment | |
| CN109947817B (en) | Six-dimensional spatial relationship analysis method and system based on associated graph | |
| KR102143805B1 (en) | Device for Predicting Fragility of Structures due to Disasters and the Method | |
| CN112819212B (en) | Path planning method based on equivalent road resistance analysis and considering dynamic availability of fire hydrant | |
| CN106202113B (en) | Information providing method and device applied to movement of forming a team | |
| CN116186547B (en) | Method for rapidly identifying abnormal data of environmental water affair monitoring and sampling | |
| CN113242213A (en) | Power communication backbone network node vulnerability diagnosis method | |
| Sun et al. | Study on safe evacuation routes based on crowd density map of shopping mall | |
| CN112749894A (en) | Defect detection model evaluation method and device | |
| Lim et al. | Clustering approach for defining hurricane evacuation zones | |
| CN114659525B (en) | Three-dimensional ship scene oriented extensible real-time rapid emergency path planning method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |