CN115640628A - Design method of indoor fire-fighting map based on space cognition - Google Patents
Design method of indoor fire-fighting map based on space cognition Download PDFInfo
- Publication number
- CN115640628A CN115640628A CN202211202712.2A CN202211202712A CN115640628A CN 115640628 A CN115640628 A CN 115640628A CN 202211202712 A CN202211202712 A CN 202211202712A CN 115640628 A CN115640628 A CN 115640628A
- Authority
- CN
- China
- Prior art keywords
- fire
- indoor
- fighting
- map
- building
- 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
Images
Landscapes
- Alarm Systems (AREA)
Abstract
The invention provides a design method of an indoor fire-fighting map based on space cognition, and relates to the field of fire-fighting safety. The design method of the indoor fire-fighting map based on the space cognition specifically comprises the following steps of S1.BIM model building, S2.GIS data integration, S3. Expressing indoor space division, S4. Expressing fire-fighting special subject elements, S5. Designing the fire-fighting map, S6. Planning an evacuation route, S7. Constructing an auxiliary management system, S8. Simulating a fire simulation experiment, and S9. Formulating an emergency treatment plan. Through extracting the BIM model through the semanteme and geometrically converting into the 3D files data format of the three-dimensional GIS according with the OGC standard, establish data mapping through the database simultaneously and guaranteed that the data of BIM has been integrated completely, the intensity of model rendering has been greatly reduced, and the stability of data has been improved, and through the different map elements of attribute characteristic design, cooperate fire fighter cognitive characteristic, withdraw for the fire fighter of indoor rescue operation and provide effectual dynamic route, personnel's life safety has been ensured greatly.
Description
Technical Field
The invention relates to the field of fire safety, in particular to a design method of an indoor fire-fighting map based on space cognition.
Background
In recent years, large-size buildings with complex internal structures, such as large-sized urban complexes, TOD communities and the like, emerge in a dispute, the buildings are various in structure, complex in function, novel in material, multiple in fire-fighting set points, large in total amount and complex in fire-fighting safety passage topological structure, and brand new challenges are brought to rescue, evacuation and evacuation of fire fighters in sudden fire, so that a design method of an indoor fire-fighting map is needed.
The model established by the existing indoor fire-fighting map is large in rendering task amount and easy in information loss, so that a design method of the indoor fire-fighting map based on space cognition is provided to solve the problems.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a design method of an indoor fire-fighting map based on spatial cognition, and solves the problems of large model rendering task, difficulty in loading and easiness in data loss.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the design method of the indoor fire-fighting map based on the space cognition specifically comprises the following steps:
s1.BIM model building
Actually knowing the specific situation of a test area by performing on-site survey and collecting CAD drawings, establishing a BIM model, selecting a necessary part for the simplest construction to achieve the simplest proportion as much as possible, adding necessary family members according to the research requirement, and simultaneously obtaining the BIM model by using texture maps to achieve the simplest proportion as much as possible;
s2.GIS data integration
Exporting and analyzing the BIM in the S1 by using an IFC data format to obtain a standard format IFC, simplifying geometric semantics through text semantic analysis to delete unnecessary attribute information, screening out key text characteristics and spatial information characteristics of the simplified text by combining the existing standard, and finally designing tile metadata of a mixed model according to a customized visual rendering rule and performing spatial nesting on building metadata in a scene by using the characteristic that the metadata is easy to expand, so that the spatial reasonable organization of tiles at each level of the mixed model is realized, and a mixed model 3DTiles is finally obtained;
s3, expressing indoor space division
Through the analysis of the shape of the indoor main channel, obvious linear symbols and arrows are used for highlighting the positions of the indoor main channel and the outlet, indoor spaces with different danger levels are represented by different bottom color linings, light red can be used for representing light dangerous indoor spaces, pink can be used for representing obvious dangerous spaces, dark red can be used for representing high dangerous spaces, and bright red can be used for representing extremely dangerous spaces, for the division of the indoor spaces based on passable conditions, different linear boundaries can be used for representing the impassable areas, the broken line boundaries can be used for representing the passable areas, and lines with background colors can be used for representing the boundary lines of the direct passable areas;
s4, expressing fire-fighting special topic elements
Based on indoor building information, highlighting the fire-fighting thematic elements of a fire hydrant and an evacuation indicator through colors and special symbols, and designing a special fire rescue emergency thematic symbol library;
s5, designing a fire-fighting map
Performing text analysis on the IFC in the standard format in S2 to extract position information of each element, calculating reasonable position information of each element through coordinate transformation, drawing an indoor map meeting the OGC standard through an SVG format, and designing after the space division and map elements of the fire-fighting special topic and the dynamic point in S3 and S4 have space characteristics and attribute characteristics to obtain a fire-fighting rescue map;
s6, planning an evacuation route
Designing an optimal evacuation route dynamic planning method considering fire environment evolution based on an A-star algorithm, calculating a node data set of a planned route of a current position of a rescuer closest to an emergency evacuation exit, then analyzing floors where the node data set is located, judging whether nodes are on the same floor, if the nodes are not on the same floor, preferentially displaying the planned route of the current floor, and drawing the planned route by taking stairs, elevators and escalators and floor communication nodes as end points, and the evacuation exit floors by taking the corresponding floor communication nodes as starting points to obtain an evacuation route;
s7, constructing an auxiliary management system
Organically integrating the BIM model in the S1 and the fire rescue map in the S5, integrally developing a fire-oriented indoor emergency rescue auxiliary management system with complete functions, and configuring a building parameterization interface in the auxiliary management system to obtain the indoor emergency rescue auxiliary management system;
s8, simulating fire simulation experiment
In S7, on the indoor emergency rescue auxiliary management system, carrying out simulation tests under various conditions by taking a virtual emergent fire incident as an example to obtain an operation result;
s9, making an emergency disposal plan
And determining an optimal escape path in the building and an optimal configuration scheme of rescue resources according to the operation result in the S8, and formulating emergency disposal plans under different conditions.
Preferably, in S2, for the key geometric information, the existing data integration research of IFC and GIS is analyzed, cityGML is used as a relay structure, and finally, a more suitable tile data format 3DTiles of the research is obtained through the existing CityGML-to-3DTiles conversion program and is used as an integration container of BIM and GIS.
Preferably, the map elements in S5 include three parts, namely a basic element, a thematic element and a dynamic element, wherein the basic element includes a spatial structure unit, a public service facility, a corridor, a door, an entrance, and a traffic network in the building, the thematic element includes a safety exit, an evacuation stair, a fire elevator, a fire pump room, a fire water tank, a fire pool, an indoor fire hydrant, a fire door, an evacuation line, a refuge floor, a fire control room, and a fire partition, and the dynamic element includes a fire point and an obstacle.
Preferably, in S5, the data after the IFC extraction is completed further needs its position, geometry and topological relation information.
Preferably, the attribute features in S5 include quality features and quantity features of the elements, where the quality features include types, names, and numbers of the map elements, and the quantity features include size, flow rate, speed, and bearing capacity content of the map elements, and all construct data tables and store the data tables in the database.
Preferably, the building parameterized interface in S7 is a two-dimensional and three-dimensional communication visualization constructed by the BIM model in S1 and the fire rescue map in S5.
Preferably, in S6, according to the established building interior space database model, a planar path diagram related to each floor is generated by using an image refinement and image feature point extraction algorithm based on mathematical morphology for the planar diagram of each floor, then adjacent floor path diagrams are connected with each other in the vertical direction through a stair node to establish a complete vector indoor map inside the building, a low floor should also provide a path to a window node according to the height of a cloud ladder and the opening degree outside the building, and on the basis of fully considering the inherent characteristics of the building, such as building layer height, layer number, room layout, and real-time fire situation, such as fire situation, temperature and smoke concentration, and the position information of the evacuee, an optimal path from the current position of the rescuer to the safe evacuation point is calculated to complete the solution of the optimal escape path.
Preferably, the simulated fire simulation experiment in S8 is performed together with government-related departments.
(III) advantageous effects
The invention provides a design method of an indoor fire-fighting map based on space cognition. The method has the following beneficial effects:
1. compared with a traditional fire-fighting map model, the BIM is converted into a three-dimensional GIS 3D files data format according with the OGC standard through semantic extraction and geometry in the fire-fighting map, and meanwhile, the data mapping is established through a database, so that the BIM data is integrated completely, the problems of difficult loading and data loss are avoided, and the running stability and the practicability of the fire-fighting map are improved greatly.
2. The invention provides a design method of an indoor fire-fighting map based on space cognition, which constructs a system for automatically extracting the indoor fire-fighting rescue map by BIM through the complete space information and attribute information expressed by BIM data, text analysis filtering rule matching, geometric transformation, coordinate matching and other modes and combining map space cognition and map design expression, wherein the attribute characteristics comprise different map elements and are matched with the cognition characteristics of firemen, so that the designed indoor fire-fighting electronic map is planned, an effective dynamic route can be provided for the evacuation of the firemen in indoor rescue operation, the life safety of the personnel is greatly ensured, and certain contribution is made to fire-fighting rescue.
3. The invention provides a design method of an indoor fire-fighting map based on space cognition, and simultaneously integrates a BIM technology, a GIS technology and an analog simulation information technology and applies the integrated BIM technology, the GIS technology and the analog simulation information technology to the building fire-fighting safety management, so that the informationized management of the building fire-fighting safety is realized, the response capability of people to fire disasters is enhanced, and the level of the building fire-fighting safety management is improved.
Drawings
FIG. 1 is a design flow diagram of the present invention;
fig. 2 is a flow chart of emergency evacuation path planning according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and 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.
The embodiment is as follows:
as shown in fig. 1, a design flow chart of the present invention includes a BIM, an indoor space characteristic, and a map reading environment of a map, wherein the BIM is connected with model data of an output IFC standard and a building three-dimensional model, the model data of the output IFC standard is connected with geometric model shape simplification and geometric model parameterization expression and IFC semantic data, the IFC semantic data is connected with an information warehouse, the information warehouse is connected with an information deletion of a target drive, the information deletion of the target drive, the geometric model shape simplification and the geometric model parameterization expression are connected with a model after light weight, the model after light weight includes semantic attribute information, material information and scanning in IFC and an entity geometric expression, the semantic attribute information is connected with a target attribute database, the material information and scanning in IFC and the entity geometric expression are connected with citrygml standard format data, and the target attribute database and the citrgml standard format data are connected with 3 dties standard format data;
the indoor space characteristics and the map reading environment of the map are connected with indoor space cognitive characteristic analysis, the indoor space cognitive characteristic analysis is connected with a fire rescue map design principle, element selection and classification and symbol design of an indoor fire rescue map and an expression method for designing indoor map elements, and finally the expression method for designing the indoor map elements is connected with an indoor rescue fire map result, wherein the indoor rescue fire map result comprises a fire rescue map;
the building three-dimensional model is connected with an indoor sensor, the fire rescue map is connected with a two-dimensional map module, the indoor sensor and the two-dimensional map module are connected with an A-line algorithm module, the A-line algorithm module is connected with an evacuation path generation, the evacuation path generation is connected to the fire rescue map and the building three-dimensional model, and the fire rescue map and the building three-dimensional model are connected with two-dimensional linkage and visualization;
the embodiment of the invention provides a method for designing an indoor fire-fighting map based on space cognition, which specifically comprises the following steps:
s1.BIM model building
The method comprises the steps of actually knowing the specific situation of a test area by performing on-site exploration and collecting CAD drawings, establishing a BIM model, selecting a necessary part for the simplest construction to achieve the simplest proportion as much as possible, adding necessary family members according to research requirements, simultaneously compressing the size of the model as much as possible through the operation to prepare for subsequent visualization to obtain the BIM model, wherein the texture map also achieves the simplest proportion as much as possible;
s2.GIS data integration
The BIM model in the S1 is exported and analyzed by using an IFC data format to obtain a standard format IFC, unnecessary attribute information is deleted by simplifying geometric semantics through text semantic analysis, key text characteristics and spatial information characteristics of a simplified text are screened out by combining with the existing standard, finally, the tile metadata of the mixed model is designed according to a customized visual rendering rule, and the building metadata in a scene is nested in space by using the characteristic that the metadata is easy to expand, so that the space reasonable organization of tiles of each level of the mixed model is realized, and the mixed model 3DTiles is finally obtained;
s3, expressing indoor space division
Through the analysis of the shape of the indoor main channel, obvious linear symbols and arrows and other marks are used for highlighting indoor main channel and outlet positions, indoor spaces with different danger levels are represented by different bottom contrast colors, light red can be used for representing light danger indoor spaces, pink can be used for representing remarkable danger spaces, dark red can be used for representing high danger spaces, and bright red can be used for representing extremely dangerous spaces, for indoor space division based on passable conditions, different linear boundaries can be used for expressing unvaryable areas, solid line boundaries can be used for expressing breakable passage areas, broken line boundaries can be used for expressing breakable passage areas, and lines with background colors can be used for expressing boundary lines of directly passable areas;
s4, expressing fire-fighting special topic elements
Based on indoor building information, highlighting the special fire-fighting element, highlighting the fire hydrant, the evacuation indicator and other special fire-fighting elements through colors and special symbols, and designing a special fire rescue emergency special symbol library to meet the quick cognitive requirement of fire rescue personnel;
s5, designing a fire-fighting map
The method comprises the steps of performing text analysis on IFC in a standard format in S2 to extract position information of each element, calculating reasonable position information of the elements through coordinate transformation, drawing an indoor map meeting OGC standards through an SVG format, designing after space division and map elements of fire-fighting special subjects and dynamic points in S3 and S4 have space characteristics and attribute characteristics, and obtaining a fire-fighting rescue map by highlighting design and application of all symbols and colors as key points of high-efficiency and quick decision-making services of fire-fighting rescue workers when the fire-fighting rescue map is designed;
s6, planning an evacuation route
The specific process is as shown in fig. 2, the input user position information is connected with the calculation of the travel time of each road section, the travel time of each road section is connected with whether the road network node is connected, whether the network node is connected with the node searching the nearest line is not connected, whether the node searching the nearest line and the road network node are connected with the road section safely or not, the road section is connected with the set barrier point safely, the road section is connected with the joining route set, the set barrier point and the joining route set are connected with the path calculation using Dijkstra algorithm, the shortest path connection is calculated using Dijkstra algorithm to obtain the planning path node set, whether the planning path node connecting nodes are on the same floor or not is obtained, the floor path display where the user is located is connected to the node on the same floor, the node is not connected with the layered display on the same floor, and finally the emergency evacuation path planning process is finished;
designing an optimal evacuation route dynamic planning method considering fire environment evolution based on an A-star algorithm, calculating a node data set of a planned route of a current position of a rescuer closest to an emergency evacuation exit, then analyzing floors where the node data set is located, judging whether nodes are on the same floor, if the nodes are not on the same floor, preferentially displaying the planned route of the current floor, taking stairs, elevators, escalators and other floor communication nodes as end points, and starting to draw the planned route of the evacuation exit floor by taking the corresponding floor communication node as a starting point to obtain an evacuation route;
s7, constructing an auxiliary management system
The intelligent fire disaster prevention and rescue system is organically integrated according to the BIM model in the S1 and the fire disaster prevention and rescue map in the S5, a fully functional fire disaster-oriented indoor emergency rescue auxiliary management system is integrally developed, a building parameterization interface is configured in the intelligent fire disaster prevention and rescue management system, the indoor emergency rescue auxiliary management system is obtained, the requirement that people living in the intelligent fire disaster prevention and rescue system know the position and the surrounding environment is met, the emergency events do not need to return, follow people and retreat, the strain self-rescue capability is favorably enhanced, and therefore casualties and economic losses are reduced;
s8, simulating fire simulation experiment
In S7, on the indoor emergency aid auxiliary management system, simulation tests under various conditions are carried out by taking a virtual emergent fire incident as an example, and an operation result is obtained, so that the indoor emergency aid auxiliary management system can be exercised together with relevant government departments in the process, and the emergency management capability of the indoor emergency aid auxiliary management system is greatly improved;
s9, making an emergency disposal plan
And determining an optimal escape path and an optimal rescue resource allocation scheme in the building according to the operation result in the S8, making emergency disposal plans under different conditions, and providing auxiliary decision support for a decision maker under similar conditions.
In S2, analyzing existing data integration research of IFC and GIS, using CitGML as a transfer structure, and finally obtaining a more appropriate tile data format 3DTiles of the research as an integrated container of BIM and GIS through an existing CitGML-to-3 DTiles conversion program, wherein in S5, the map element comprises three parts of a basic element, a special element and a dynamic element, wherein the basic element comprises a space structure unit, a public service facility, a corridor, a door, an entrance, an exit and a traffic network in a building, the special element comprises a safety exit, an evacuation stair, a fire elevator, a fire pump room, a fire water tank, a fire pool, an indoor fire hydrant, a fire door, an evacuation line, a refuge layer, a fire control room and a fire prevention subarea, and the dynamic element comprises a fire point and an obstacle.
In S5, the data after IFC extraction is completed also needs position, geometric shape and topological relation information, in S5, attribute features comprise quality features and numerical features of elements, wherein the quality features comprise types, names, numbers and elements of the map elements, the numerical features comprise the sizes, flow rates, speeds and bearing capacity contents of the map elements, all data tables are constructed and stored in a database, in S7, a building parameterization interface is used for constructing two-dimensional communication visualization together with an anti-rescue map in S5 through a BIM model in S1, in S6, according to an established building internal space database model, a plane path map related to each floor is generated by adopting image refinement and image feature point extraction algorithms based on mathematical morphology for the plane map of each floor, then adjacent floor path maps are connected in the vertical direction through a stair junction, a vector indoor map in the building is established, low-level floors also need to provide paths of window junctions according to the height of a cloud ladder and the opening degree outside the building, in full consideration of the inherent features of the building, such as building height, room layout, building, smoke, fire situation, and the optimal path, the current positions of escape personnel, the optimal escape path, the optimal temperature and the optimal rescue position of escape route are calculated, and the optimal evacuation information of the optimal escape route of the current personnel is obtained.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The design method of the indoor fire-fighting map based on the space cognition is characterized by comprising the following steps:
s1.BIM model building
Actually knowing the specific situation of a test area by performing on-site survey and collecting CAD drawings, establishing a BIM model, selecting a necessary part for the simplest construction to achieve the simplest proportion as much as possible, adding necessary family members according to the research requirement, and simultaneously obtaining the BIM model by using texture maps to achieve the simplest proportion as much as possible;
s2.GIS data integration
Exporting and analyzing the BIM in the S1 by using an IFC data format to obtain a standard format IFC, simplifying geometric semantics through text semantic analysis to delete unnecessary attribute information, screening out key text characteristics and spatial information characteristics of the simplified text by combining with the existing standard, designing tile metadata of the mixed model according to a customized visual rendering rule, and performing spatial nesting on building metadata in a scene by using the characteristic that the metadata is easy to expand, so that the spatial reasonable organization of tiles of each level of the mixed model is realized, and a mixed model 3DTiles is finally obtained;
s3, expressing indoor space division
Through the analysis of the shape of the indoor main channel, obvious linear symbols and arrows are used for highlighting the positions of the indoor main channel and the outlet, indoor spaces with different danger levels are represented by different bottom color linings, light red can be used for representing light dangerous indoor spaces, pink can be used for representing obvious dangerous spaces, dark red can be used for representing high dangerous spaces, and bright red can be used for representing extremely dangerous spaces, for the division of the indoor spaces based on passable conditions, different linear boundaries can be used for representing the impassable areas, the broken line boundaries can be used for representing the passable areas, and lines with background colors can be used for representing the boundary lines of the direct passable areas;
s4, expressing special fire-fighting subject elements
Based on indoor building information, highlighting fire-fighting thematic elements, highlighting fire hydrant and evacuation indicator fire-fighting thematic elements through colors and special symbols, and designing a special fire rescue emergency thematic symbol library;
s5, designing a fire-fighting map
Performing text analysis on the IFC in the standard format in S2 to extract position information of each element, calculating reasonable position information of each element through coordinate transformation, drawing an indoor map meeting the OGC standard through an SVG format, and designing after the space division and map elements of the fire-fighting special topic and the dynamic point in S3 and S4 have space characteristics and attribute characteristics to obtain a fire-fighting rescue map;
s6, planning an evacuation route
Designing an optimal evacuation route dynamic planning method considering fire environment evolution based on an A-algorithm, calculating a node data set of a planned route of a current position of a rescuer closest to an emergency evacuation exit, analyzing a floor where the node data set is located, judging whether a node is located in the same floor, if the node is not located in the same floor, preferentially displaying the planned route of the current floor, and drawing the planned route by taking a stair, an elevator and a staircase and taking a floor communication node as an end point, and taking the corresponding floor communication node as a starting point of an evacuation exit floor to obtain an evacuation route;
s7, constructing an auxiliary management system
Organically integrating according to the BIM model in the S1 and the fire rescue map in the S5, integrally developing a complete-function fire-oriented indoor emergency rescue auxiliary management system, and configuring a building parameterization interface therein to obtain the indoor emergency rescue auxiliary management system;
s8, simulating fire simulation experiment
Carrying out simulation tests under various conditions on the indoor emergency rescue auxiliary management system in the S7 by taking a virtual emergent fire incident as an example to obtain an operation result;
s9, making an emergency disposal plan
And determining an optimal escape path and an optimal rescue resource allocation scheme in the building according to the operation result in the S8, and formulating emergency disposal plans under different conditions.
2. The design method of the indoor fire fighting map based on the spatial cognition as claimed in claim 1, characterized in that: in the S2, for key geometric information, the existing data integration research of the IFC and the GIS is analyzed, the CityGML is used as a transfer structure, and finally, a more appropriate tile data format 3DTiles of the research is obtained through an existing CityGML-to-3DTiles conversion program and is used as an integration container of the BIM and the GIS.
3. The design method of the indoor fire fighting map based on the spatial cognition as claimed in claim 1, characterized in that: in S5, the map elements comprise three parts, namely basic elements, thematic elements and dynamic elements, wherein the basic elements comprise space structure units, public service facilities, corridors, doors, entrances and exits and a traffic network in a building, the thematic elements comprise safety exits, evacuation stairs, fire elevators, fire pump rooms, fire water tanks, fire pools, indoor fire hydrants, fire doors, evacuation lines, evacuation layers, fire control rooms and fire partitions, and the dynamic elements comprise fire points and obstacles.
4. The method for designing an indoor fire fighting map based on spatial cognition according to claim 1, characterized in that: in S5, for the data after IFC extraction, the position, geometry, and topological relation information of the data are also needed.
5. The design method of the indoor fire fighting map based on the spatial cognition as claimed in claim 1, characterized in that: and S5, the attribute features comprise quality features and quantity features of the elements, wherein the quality features comprise types, names and numbers of the map elements, and the quantity features comprise the contents of sizes, flow rates, speeds and bearing capacities of the map elements, and all data tables are constructed and stored in a database.
6. The method for designing an indoor fire fighting map based on spatial cognition according to claim 1, characterized in that: and in the S7, the building parameterized interface is a two-dimensional and three-dimensional communication visualization constructed by the BIM in the S1 and the fire rescue map in the S5.
7. The design method of the indoor fire fighting map based on the spatial cognition as claimed in claim 1, characterized in that: in the step S6, according to the established building internal space database model, a plane path diagram related to each floor is generated by adopting an image thinning and image feature point extraction algorithm based on mathematical morphology for the plane diagram of each floor, then adjacent floor path diagrams are connected in the vertical direction through stair nodes to establish a complete vector indoor map in the building, a low floor also provides a path to a window node according to the height of a scaling ladder and the opening degree outside the building, and on the basis of fully considering the inherent characteristics of the building, such as building layer height, layer number, room layout, real-time fire situation, such as fire situation, temperature and smoke concentration, and the position information of the escape personnel, the optimal path from the current position of the rescue personnel to the position of a safe evacuation point is calculated to complete the solution of the optimal escape path.
8. The design method of the indoor fire fighting map based on the spatial cognition as claimed in claim 1, characterized in that: and S8, performing the simulated fire simulation experiment together with government related departments.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211202712.2A CN115640628A (en) | 2022-09-29 | 2022-09-29 | Design method of indoor fire-fighting map based on space cognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211202712.2A CN115640628A (en) | 2022-09-29 | 2022-09-29 | Design method of indoor fire-fighting map based on space cognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115640628A true CN115640628A (en) | 2023-01-24 |
Family
ID=84941530
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211202712.2A Pending CN115640628A (en) | 2022-09-29 | 2022-09-29 | Design method of indoor fire-fighting map based on space cognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115640628A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116597099A (en) * | 2023-07-17 | 2023-08-15 | 芯知科技(江苏)有限公司 | Three-dimensional model reconstruction method and system based on video stream |
| CN116720664A (en) * | 2023-08-07 | 2023-09-08 | 城安盛邦(长春)网络科技有限公司 | Fire control design drawing data analysis system and method based on artificial intelligence |
| CN116804560A (en) * | 2023-08-23 | 2023-09-26 | 四川交通职业技术学院 | Unmanned automobile safety navigation method and device under controlled road section |
| TWI828531B (en) * | 2023-02-01 | 2024-01-01 | 中興工程顧問股份有限公司 | Station building design system and method |
| CN117671544A (en) * | 2024-01-31 | 2024-03-08 | 南京莱斯信息技术股份有限公司 | Fire control data acquisition system and method under complex building condition |
| CN117784692A (en) * | 2023-12-29 | 2024-03-29 | 营口天成消防设备有限公司 | Wisdom fire emergency lighting and evacuation indicating system |
-
2022
- 2022-09-29 CN CN202211202712.2A patent/CN115640628A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI828531B (en) * | 2023-02-01 | 2024-01-01 | 中興工程顧問股份有限公司 | Station building design system and method |
| CN116597099A (en) * | 2023-07-17 | 2023-08-15 | 芯知科技(江苏)有限公司 | Three-dimensional model reconstruction method and system based on video stream |
| CN116597099B (en) * | 2023-07-17 | 2023-09-22 | 芯知科技(江苏)有限公司 | Three-dimensional model reconstruction method and system based on video stream |
| CN116720664A (en) * | 2023-08-07 | 2023-09-08 | 城安盛邦(长春)网络科技有限公司 | Fire control design drawing data analysis system and method based on artificial intelligence |
| CN116720664B (en) * | 2023-08-07 | 2023-10-27 | 城安盛邦(长春)网络科技有限公司 | Fire control design drawing data analysis system and method based on artificial intelligence |
| CN116804560A (en) * | 2023-08-23 | 2023-09-26 | 四川交通职业技术学院 | Unmanned automobile safety navigation method and device under controlled road section |
| CN116804560B (en) * | 2023-08-23 | 2023-11-03 | 四川交通职业技术学院 | Unmanned automobile safety navigation method and device under controlled road section |
| CN117784692A (en) * | 2023-12-29 | 2024-03-29 | 营口天成消防设备有限公司 | Wisdom fire emergency lighting and evacuation indicating system |
| CN117671544A (en) * | 2024-01-31 | 2024-03-08 | 南京莱斯信息技术股份有限公司 | Fire control data acquisition system and method under complex building condition |
| CN117671544B (en) * | 2024-01-31 | 2024-04-26 | 南京莱斯信息技术股份有限公司 | Fire control data acquisition system and method under complex building condition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115640628A (en) | Design method of indoor fire-fighting map based on space cognition | |
| Cheng et al. | BIM integrated smart monitoring technique for building fire prevention and disaster relief | |
| Tashakkori et al. | A new 3D indoor/outdoor spatial model for indoor emergency response facilitation | |
| Liu et al. | Indoor navigation supported by the Industry Foundation Classes (IFC): A survey | |
| Jiang | Mobile fire evacuation system for large public buildings based on artificial intelligence and IoT | |
| Wang et al. | Applying building information modeling to support fire safety management | |
| Meijers et al. | 3D geo-information indoors: structuring for evacuation | |
| Goetz et al. | Extending OpenStreetMap to indoor environments: bringing volunteered geographic information to the next level | |
| CN111760228B (en) | Intelligent deduction system and method for fire fighting and fire fighting rescue | |
| Chen et al. | The application of geometric network models and building information models in geospatial environments for fire-fighting simulations | |
| CN108847081A (en) | A kind of fire-fighting simulated training method based on virtual reality technology | |
| CN112465968B (en) | Building map mixed data model construction method for positioning navigation | |
| CN102646166A (en) | Indoor emergency evacuation simulation method for complex building | |
| CN115545359B (en) | Dynamic intelligent evacuation method and device for complex building fire | |
| Wang et al. | Using openstreetmap data to generate building models with their inner structures for 3d maps | |
| Boguslawski et al. | 3D building interior modelling for navigation in emergency response applications | |
| Sabri et al. | A multi-dimensional analytics platform to support planning and design for liveable and sustainable urban environment | |
| Cheng et al. | Development of BIM-based real-time evacuation and rescue system for complex buildings | |
| Wong et al. | IFC-based information exchange for multi-agency response to indoor fire emergencies | |
| Shao et al. | Stampede events and strategies for crowd management | |
| Mirahadi et al. | A real-time path-planning model for building evacuations | |
| Tashakkori et al. | Indoor incident situation awareness using a 3D indoor/outdoor spatial city model | |
| Meschini et al. | BIM-GIS integration and crowd simulation for fire emergency management in a large diffused university | |
| Li et al. | Emergency evacuation of urban underground commercial street based on BIM approach | |
| CN114067065A (en) | Escape route visualization system and escape 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 |