CN-122022665-A - Space analysis-based linkage emergency warehouse layout optimization method and system

CN122022665ACN 122022665 ACN122022665 ACN 122022665ACN-122022665-A

Abstract

The invention discloses a space analysis-based linkage emergency storage layout optimization method and system, and relates to the technical field of storage. The method comprises the steps of collecting disaster risk, population density, traffic network and resource configuration data, determining a multi-disaster scene data set and an associated region group set by utilizing GIS space overlapping analysis, carrying out linkage emergency storage layout analysis on the data to determine a storage layout scheme set, carrying out evolution expansion on scene data to generate an evolution expansion group set, carrying out response adaptability analysis and optimization scheme according to the evolution expansion group to form an optimization scheme set, fusing the optimization scheme, and determining a target scheme. The technical problems that the traditional emergency storage layout lacks dynamic adaptability and cross-regional linkage capability when facing complex multi-disaster chains are solved, and the technical effects of realizing dynamic optimization and multistage linkage of the storage layout and improving the emergency response capability and resource allocation efficiency of the storage layout are achieved through spatial analysis and scene evolution.

Inventors

CUI KUNPENG
ZOU XUAN
ZHAO ZIJING
LI MENG
QI WEIFENG
WANG YANG

Assignees

中国消防救援学院
北京广嘉自动化系统有限公司

Dates

Publication Date: 20260512
Application Date: 20251216

Claims (8)

1. The space analysis-based linkage emergency warehouse layout optimization method is characterized by comprising the following steps of: collecting disaster risk data, population density and distribution data, traffic network data and resource allocation data of a target area, performing spatial overlap analysis by using a GIS spatial analysis technology, and determining a multi-disaster scene data set and a corresponding association area group set; performing multi-layer cascade dynamic emergency warehouse layout analysis based on the multi-disaster scene data set and the associated region group set to determine a warehouse layout scheme set; Performing scene evolution expansion by combining the multi-disaster scene data set to obtain a multi-disaster scene evolution expansion group set; Respectively analyzing the layout response fitness of the warehouse layout scheme set according to the scene evolution expansion group set, and carrying out scheme optimization by combining the layout response fitness group set to obtain a warehouse layout optimization scheme set; and carrying out linkage scene fusion on the warehouse layout optimization scheme set to determine a target warehouse layout optimization scheme.
2. The space analysis-based linked emergency warehouse layout optimization method of claim 1, wherein collecting disaster risk data, population density and distribution data, traffic network data and resource allocation data of a target area, performing space overlap analysis by using a GIS space analysis technology, and determining a multi-disaster scene data set and a corresponding association area group set, comprises: Performing same-type aggregation based on the disaster risk data to obtain a plurality of aggregated disaster risk data sets; Respectively carrying out disaster scene recognition in the aggregate on the plurality of aggregate disaster risk data sets to determine a plurality of disaster scene data sets; and respectively carrying out disaster space position overlapping and disaster superposition influence area identification on population density and distribution data, traffic network data and resource allocation data according to the multi-disaster scene data set by utilizing a GIS space analysis technology, and determining an associated area group set.
3. The space analysis-based linked emergency warehouse layout optimization method of claim 2, wherein the determining the set of associated regional groups by performing disaster space location overlapping and disaster superposition influence region identification on the population density and distribution data, traffic network data and resource configuration data according to the set of multi-disaster scene data by using a GIS space analysis technology comprises: Extracting first multi-disaster scene data from the multi-disaster scene data set; Extracting disaster types and disaster source positions of the first multi-disaster scene data; Performing position overlapping region identification based on the disaster source position to obtain a first position overlapping region group; based on the disaster type and the disaster source position, combining the population density and distribution data, traffic network data and resource allocation data to identify disaster superposition influence areas, and obtaining a first disaster superposition influence area group; and carrying out region fusion on the basis of the first position overlapping region group and the first disaster overlapping influence region group to obtain a first position overlapping region group, extracting region association data of population density, distribution data, traffic network data and resource allocation data, identifying the first position overlapping region group according to an extraction result, and adding the identified first position overlapping region group into an association region group set.
4. The space analysis-based linked emergency warehouse layout optimization method of claim 1, wherein performing multi-layer linked emergency warehouse layout analysis based on the multi-disaster scene data set and the associated regional group set, determining a warehouse layout scheme set comprises: taking a central storage library, a regional central library, local sub-libraries and front storage points as a multi-layer cascade dynamic structure; And acquiring a warehouse layout scheme analyzer, combining the multi-layer cascade dynamic structure, respectively carrying out layout analysis on the multi-disaster scene data set and the associated region group set, and determining the warehouse layout scheme set.
5. The method for optimizing a linked emergency warehouse layout based on spatial analysis according to claim 1, wherein the scene evolution expansion is performed in combination with the multi-disaster scene data set to obtain a multi-disaster scene evolution expansion group set, comprising: performing scene evolution expansion according to a preset expansion mode based on the multi-disaster scene data set to obtain an initial multi-disaster scene evolution expansion group set; Performing intra-set approximate mean processing on the initial multi-disaster scene evolution expansion group set to obtain a multi-disaster scene evolution expansion group set; the preset expansion mode is to randomly adjust the scene influence degree and the environment parameters according to a preset adjustment amplitude.
6. The space analysis-based linked emergency warehouse layout optimization method of claim 1, wherein the performing layout response fitness analysis on the warehouse layout scheme set according to the scene evolution expansion group set and performing scheme optimization in combination with the layout response fitness group set to obtain a warehouse layout optimization scheme set comprises: acquiring a preset layout response index, wherein the preset layout response index comprises response time, material arrival rate and storage capacity utilization degree; respectively carrying out scene response simulation on the corresponding warehouse layout schemes in the warehouse layout scheme set according to the scene evolution expansion group set, and carrying out simulation result evaluation according to a preset layout response index to obtain a layout response adaptability group set; and respectively carrying out scheme optimization on the warehouse layout scheme set based on the layout response adaptability group set to obtain the warehouse layout optimization scheme set.
7. The space analysis-based linked emergency warehouse layout optimization method of claim 6, wherein the respectively performing scheme optimization on the warehouse layout scheme set based on the layout response fitness group set to obtain the warehouse layout optimization scheme set comprises: calculating the average value of the layout response adaptability group set to obtain a scheme layout response adaptability set; And respectively adjusting the adaptability scale of the warehouse layout scheme set according to the scheme layout response adaptability in the scheme layout response adaptability set to obtain a warehouse layout optimization scheme set.
8. A spatially-analysis-based linked emergency warehouse layout optimization system for implementing the spatially-analysis-based linked emergency warehouse layout optimization method of any one of claims 1-7, the system comprising: The overlap analysis module is used for collecting disaster risk data, population density and distribution data, traffic network data and resource allocation data of the target area, performing spatial overlap analysis by utilizing a GIS spatial analysis technology, and determining a multi-disaster scene data set and a corresponding association area group set; The layout analysis module is used for carrying out multi-layer cascade dynamic emergency storage layout analysis based on the multi-disaster scene data set and the associated region group set to determine a storage layout scheme set; The scene evolution module is used for carrying out scene evolution expansion by combining the multi-disaster scene data set to obtain a multi-disaster scene evolution expansion group set; The layout optimization module is used for respectively carrying out layout response fitness analysis on the storage layout scheme set according to the scene evolution expansion group set and carrying out scheme optimization by combining with the layout response fitness group set to obtain a storage layout optimization scheme set; And the scene fusion module is used for carrying out linkage scene fusion on the warehouse layout optimization scheme set and determining a target warehouse layout optimization scheme.

Description

Space analysis-based linkage emergency warehouse layout optimization method and system Technical Field The invention relates to the technical field of storage, in particular to a linkage emergency storage layout optimization method and system based on spatial analysis. Background The construction of the regional emergency material guarantee system is particularly important under the background of sudden natural disasters, public safety incidents and frequent major accidents. The existing emergency storage layout method is designed based on single disaster situations or static environment conditions, and the problems of unreasonable distribution of material reserve positions, low response efficiency, limited transportation paths and the like are highlighted when actual disasters occur due to insufficient consideration of multi-disaster superposition effects and linkage response requirements among areas. Meanwhile, the traditional warehouse layout optimization is mostly based on an empirical or linear model, lacks systematic analysis of space elements, disaster dynamic evolution, comprehensive factors such as population and traffic, and the like, and is difficult to realize scientific and flexible emergency resource scheduling. Disclosure of Invention The application provides a space analysis-based linkage emergency storage layout optimization method and a space analysis-based linkage emergency storage layout optimization system, which solve the technical problem that the traditional emergency storage layout lacks dynamic adaptability and cross-regional linkage capability when facing complex multi-disaster chains. In a first aspect of the present application, there is provided a linked emergency warehouse layout optimization method based on spatial analysis, the method comprising: Collecting disaster risk data, population density and distribution data, traffic network data and resource configuration data of a target area, performing space overlapping analysis by utilizing a GIS space analysis technology to determine a multi-disaster scene data set and a corresponding associated area group set, performing multi-layer cascade dynamic emergency storage layout analysis based on the multi-disaster scene data set and the associated area group set to determine a storage layout scheme set, performing scene evolution expansion on the multi-disaster scene data set to obtain a multi-disaster scene evolution expansion group set, performing layout response fitness analysis on the storage layout scheme set according to the scene evolution expansion group set respectively, performing scheme optimization on the storage layout scheme set in combination with the layout response fitness group set to obtain a storage layout optimization scheme set, performing linkage scene fusion on the storage layout optimization scheme set, and determining a target storage layout optimization scheme. In a second aspect of the present application, there is provided a linked emergency warehouse layout optimization system based on spatial analysis, the system comprising: The system comprises an overlapping analysis module, a layout analysis module, a scene evolution module, a layout optimization module and a scene fusion module, wherein the overlapping analysis module is used for collecting disaster risk data, population density and distribution data, traffic network data and resource configuration data of a target area, performing space overlapping analysis by utilizing a GIS space analysis technology to determine a multi-disaster scene data set and a corresponding association area group set, the layout analysis module is used for performing multi-layer cascade dynamic emergency storage layout analysis based on the multi-disaster scene data set and the association area group set to determine a storage layout scheme set, the scene evolution module is used for performing scene evolution expansion by combining the multi-disaster scene data set to obtain a multi-disaster scene evolution expansion group set, the layout optimization module is used for performing layout response fitness analysis on the storage layout scheme set respectively according to the scene evolution group set and performing scheme optimization by combining the layout response adaption group set to obtain a storage layout optimization scheme set, and the scene fusion module is used for performing linkage scene fusion on the storage layout optimization scheme set to determine a target storage layout optimization scheme. One or more technical schemes provided by the application have at least the following technical effects or advantages: Firstly, collecting disaster risk, population distribution, traffic network, resource allocation and other data of a target area, and utilizing a spatial analysis technology to carry out superposition processing to identify a multi-disaster scene and an associated influence area thereof. And then, carrying out multi-level linkage warehouse layout a