Block-level space function degradation identification method, device, equipment and product

Abstract

The application discloses a kind of block-level space function degradation identification method, device, equipment and product, the method includes according to the block-level city system unit system in target area and rainfall condition determines the disaster trigger unit of the target area;According to the propagation channel between each city system unit in the block-level city system unit system, the propagation rule of the disaster trigger unit to the city system unit is established;According to the propagation rule and the city system unit, the block-level space function degradation result of the target area is determined.The disaster trigger unit is determined, the propagation rule is established and the space function degradation result is identified, can be converted into block-level city system function influence by storm geological disaster, realize the propagation identification of storm-induced geological disasters in block-level city system, accurately determine block-level space function degradation result.

Description

Technical Field

[0001] This invention relates to the field of urban planning technology, and in particular to a method, apparatus, equipment and product for identifying street-level spatial function degradation. Background Technology

[0002] Mountainous cities, due to their undulating terrain, high intensity of slope development, and distinctly three-dimensional road and street structures, often face multiple challenges during heavy rainfall events, including enhanced surface runoff, slope instability, landslides and collapses, activation of debris flow channels, and disruption of road and community systems. Unlike plains cities, where the impact of disasters is primarily characterized by flooding and water spread, rainstorm disasters in mountainous cities are more likely to propagate tiered through slopes, valleys, retaining walls, roads at the foot of slopes, connecting passages to platforms, and community entrances. This not only creates inherent dangers within the disaster itself but also leads to road blockages, community isolation, facility failures, and service disruptions, resulting in the degradation of spatial functions at the street level. Most existing technologies focus on early warning, hazard identification, or situational analysis of the disaster itself, rather than the continuous impact of disasters on urban system units after they enter urban blocks. Therefore, existing technologies cannot reflect the problem of disaster propagation within the urban system and the resulting spatial function degradation. Summary of the Invention

[0003] This invention provides a method, apparatus, equipment, and product for identifying street-level spatial function degradation. By determining the disaster triggering unit, establishing propagation rules, and identifying the spatial function degradation results, it can transform rainstorm geological disasters into street-level urban system function impacts and identify the spread of disasters within the urban system that lead to spatial function degradation.

[0004] To achieve the above objectives, embodiments of the present invention provide a method for identifying street-level spatial function degradation, including: The disaster triggering units of the target area are determined based on the urban system unit structure at the street level and rainfall conditions within the target area; The propagation relationship between the disaster triggering unit and other urban system units is defined based on the propagation channels between urban system units in the street-level urban system unit system; the propagation rules from the disaster triggering unit to the urban system unit are established using a recursive set method based on the propagation relationship; The degree of spatial functional degradation of the urban system unit is calculated based on its pre-disaster and post-disaster functional levels; the block-level spatial functional degradation result of the target area is determined based on the propagation rules and the degree of spatial functional degradation.

[0005] As an improvement to the above scheme, the step of determining the disaster triggering unit of the target area based on the street-level urban system unit system and rainfall conditions within the target area includes: Acquire basic spatial data of the target area; wherein, the basic spatial data includes rainfall data, digital elevation model, slope and valley data, road network data, drainage and runoff data, community boundary data, key facility data and public service network data within the target area; Based on the aforementioned basic spatial data, a street-level urban system unit architecture for the target area is constructed. The disaster triggering units of the target area are determined based on the street-level urban system unit structure and rainfall conditions.

[0006] As an improvement to the above scheme, the step of constructing a block-level urban system unit system for the target area based on the basic spatial data includes: Based on the aforementioned basic spatial data, the target area is discretized into several urban system units; Based on the basic spatial data, the spatial relationships between the urban system units are established to obtain the block-level urban system unit system of the target area.

[0007] As an improvement to the above scheme, the step of determining the disaster triggering unit of the target area based on the street-level urban system unit architecture and rainfall conditions includes: The effective cumulative rainfall of each urban system unit in the street-level urban system unit system is determined based on the rainfall conditions of the target area. The disaster triggering unit of the target area is determined based on the effective cumulative rainfall and the preset critical response threshold.

[0008] As an improvement to the above scheme, after determining the street-level spatial function degradation result of the target area, the method further includes: Based on the results of the street-level spatial function degradation, key nodes in the target area are identified, interventions are made on the key nodes, and the recovery effect of the key nodes after intervention is calculated to determine the minimum intervention priority.

[0009] As an improvement to the above scheme, the step of identifying key nodes in the target area based on the street-level spatial function degradation results, intervening in the key nodes, and calculating the recovery effect of the key nodes after intervention to determine the minimum intervention priority includes: The key nodes of the target area are identified based on the results of the street-level spatial function degradation; wherein, the key nodes include key blocking points and key facility nodes; Simulated intervention is performed on the key nodes, and the recovery effect of the key nodes after the intervention is calculated; wherein, the recovery effect includes functional recovery gain or unit cost recovery efficiency; The minimum intervention priority is determined based on the recovery effect.

[0010] To achieve the above objectives, embodiments of the present invention provide a street-level spatial function degradation identification device, comprising: The triggering unit determination module is used to determine the disaster triggering units of the target area based on the street-level urban system unit system and rainfall conditions within the target area; The propagation rule establishment module is used to define the propagation relationship between the disaster triggering unit and other urban system units based on the propagation channels between urban system units in the street-level urban system unit system; and to establish the propagation rules from the disaster triggering unit to the urban system unit using a recursive set method based on the propagation relationship. The degradation result determination module is used to calculate the degree of spatial function degradation of the urban system unit based on its pre-disaster and post-disaster functional levels; and to determine the block-level spatial function degradation result of the target area based on the propagation rules and the degree of spatial function degradation.

[0011] To achieve the above objectives, embodiments of the present invention provide a street-level spatial function degradation identification device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the above-mentioned street-level spatial function degradation identification method.

[0012] To achieve the above objectives, embodiments of the present invention also provide a computer program product, which is stored in a storage medium and executed by at least one processor to implement the steps of the street-level spatial function degradation identification method described above.

[0013] Compared with existing technologies, the present invention discloses a method, apparatus, equipment, and product for identifying street-level spatial function degradation. This method determines disaster-triggered units in a target area based on the street-level urban system unit structure and rainfall conditions; defines the propagation relationship between the disaster-triggered units and other urban system units based on the propagation channels between urban system units within the street-level urban system unit structure; establishes propagation rules from the disaster-triggered units to the urban system units using a recursive set approach based on the propagation relationships; calculates the degree of spatial function degradation of the urban system units based on their pre-disaster and post-disaster functional levels; and determines the street-level spatial function degradation result of the target area based on the propagation rules and the degree of spatial function degradation. This method can transform rainstorm-induced geological disasters into impacts on street-level urban system functions, construct a street-level disaster propagation identification mechanism, and realize the propagation identification of rainstorm-induced geological disasters within the street-level urban system to determine the street-level spatial function degradation result. This solves the problem that existing technologies cannot identify the tiered propagation of disasters and functional degradation within a street. Attached Figure Description

[0014] Figure 1 This is a flowchart illustrating a method for identifying street-level spatial function degradation according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a street-level spatial function degradation identification device provided in an embodiment of the present invention; Figure 3 This is a structural block diagram of a street-level spatial function degradation identification device provided in an embodiment of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] It should be noted that the terms "comprising" and "specific" in this invention, and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0017] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for identifying street-level spatial function degradation according to an embodiment of the present invention. The method includes: S1, determine the disaster triggering unit of the target area based on the street-level urban system unit system and rainfall conditions within the target area; S2, define the propagation relationship between the disaster triggering unit and other urban system units according to the propagation channel between urban system units in the street-level urban system unit system; establish the propagation rules from the disaster triggering unit to the urban system unit using a recursive set method based on the propagation relationship; S3, calculate the degree of spatial function degradation of the urban system unit based on its pre-disaster and post-disaster functional levels; determine the block-level spatial function degradation result of the target area based on the propagation rules and the degree of spatial function degradation.

[0018] For example, the block-level spatial function degradation identification method described in this embodiment of the invention can be implemented by an identification server capable of interacting with target users. The identification server acquires basic spatial data of the target area within a mountainous city (such as digital elevation models, rainfall data, slope and valley distribution, road networks, community boundaries, and key facility data); constructs a block-level urban system unit system composed of slope units, confluence units, road units, community units, and key facility units, as well as spatial adjacency, accessibility, and service dependencies between units; and identifies disaster triggering units that experience slope instability, landslides, and debris flows under heavy rainfall based on effective cumulative rainfall calculation and critical response threshold determination. Based on the upslope, downslope, valley connectivity, road attachment, and entrance / exit dependencies of each unit in the block-level urban system unit system, a disaster propagation relationship matrix is ​​constructed, defining the direct propagation relationship between disaster triggering units and other urban system units, and determining cascading propagation rules through recursive sets to form a disaster-blockage-degradation propagation path. This invention calculates the set of urban system units affected by disasters based on propagation rules; quantifies the degree of spatial function degradation of each unit using pre- and post-disaster functional loss rates, and determines functionally degraded units based on degradation thresholds; for community units, it determines their external connectivity status, identifies isolated communities, failed facilities, and interrupted service chains, and obtains the block-level spatial function degradation results for the target area. Based on block-level urban system units, this invention identifies disaster-triggered units by combining effective rainfall and threshold determination, avoiding empirical weighting errors and accurately pinpointing the starting propagation point of rainstorm geological disasters; it establishes propagation rules based on the actual spatial and functional relationships between units, realistically recreating the process of disaster spreading step-by-step along slopes, roads, communities, and facilities in mountainous cities; it quantifies the disaster impact into intuitive results such as functional loss rates, isolated communities, and failed facilities, shifting from disaster hazard identification to urban spatial function degradation identification, which can support block-level disaster prevention planning, community governance, and facility protection.

[0019] Specifically, step S1 includes: S11, acquire basic spatial data of the target area; wherein, the basic spatial data includes rainfall data, digital elevation model, slope and valley data, road network data, drainage and runoff data, community boundary data, key facility data and public service network data within the target area; S12, Construct a street-level urban system unit system for the target area based on the basic spatial data; S13, determine the disaster triggering unit of the target area based on the street-level urban system unit system and rainfall conditions.

[0020] In one specific embodiment, rainfall data, digital elevation model, slope and gully data, road network data, drainage and runoff data, community boundary data, critical infrastructure data, and public service network data are acquired within the target area. Based on the aforementioned basic spatial data, the target area is discretized into slope segment units, runoff units, road segment units, community units, and critical infrastructure units. Spatial adjacency relationships, accessibility relationships, and service dependencies between these units are established, resulting in a street-level urban system unit system for the target area. Based on this street-level urban system unit system, and combined with rainfall conditions, through effective cumulative rainfall calculation and critical response threshold determination, disaster triggering units within the target area that could lead to slope instability, landslides, debris flows, or uncontrolled runoff from slope runoff are identified.

[0021] More specifically, the steps include: S121, Discretize the target area into several urban system units based on the basic spatial data; S122, Based on the basic spatial data, establish the spatial relationships between the urban system units to obtain the block-level urban system unit system of the target area.

[0022] In one specific embodiment, the target area is discretized into several urban system units based on the basic spatial data. These urban system units include slope units, confluence units, road segment units, community units, and key facility units. Spatial relationships between these urban system units are established, including spatial adjacency, accessibility, and service dependency relationships, resulting in a block-level urban system unit system. This embodiment of the invention uses urban system units, rather than general grids or simple disaster units, as the basic model. To uniformly express the block-level urban system, the block-level urban system unit system can be represented as follows: , In the formula, Represents a city-wide, street-level system network; This represents a set of urban system units, including at least a set of slope segment units. , collection of merging units Road segment unit set Community Unit Collection and key facility unit set ; It represents a set of relationships between units, including spatial adjacency, obstruction propagation, reachability, and service dependency.

[0023] More specifically, step S13 includes: S131, determine the effective cumulative rainfall of each urban system unit in the street-level urban system unit system based on the rainfall conditions of the target area; S132, determine the disaster triggering unit of the target area based on the effective cumulative rainfall and the preset critical response threshold.

[0024] In one specific embodiment, based on rainfall scenarios, topographical conditions, slope sensitivity, runoff conditions, and existing information on disaster-sensitive areas, slope segments or runoff units that may become triggering sources for landslides, mudslides, debris flows, or localized slope instability under heavy rainfall are identified. These serve as the triggering source set for subsequent street-level urban system propagation calculations. An effective rainfall accumulation and threshold determination mechanism is used to determine the disaster triggering units in the target area. The preset critical response threshold can be set as needed. For example, for any candidate triggering unit... It can be defined at time The effective cumulative rainfall is: , In the formula, Representation unit At any moment Effective cumulative rainfall; Indicates time The intensity of rainfall; This is the attenuation coefficient of previous rainfall, used to characterize the attenuation effect of previous rainfall over time.

[0025] Combined unit Critical response threshold ,right Perform trigger determination: , In the formula, Representation unit Whether it becomes a triggering unit for geological disasters induced by rainstorms ,when This indicates that the unit, under the current rainfall and geological conditions, can be identified as the starting point for disaster propagation; when This indicates that the unit cannot be identified as the starting point for the spread of disaster under the current rainfall and geological conditions.

[0026] Specifically, in step S2, for the identified disaster triggering units, propagation rules are established between them and road blockages, facility failures, community isolation, and service network disruptions. These propagation rules are not given in a simple scoring form, but are described through a propagation relationship matrix and a recursive set. For example, for any disaster triggering unit... and urban system units Define the propagation relationship for: , The transmission channels can be composed of uphill / downhill relationships, valley connectivity, road attachment relationships, facility dependencies, or entrance / exit dependencies. A set of urban system units directly affected by the disaster can be defined. for: , If cascading propagation is considered, then the first... The set of affected units after round propagation It can be represented as: , In the formula, For the first The set of affected units after round propagation; This invention, through a recursive relationship, can progressively map disaster-triggered results, originally confined to slope segments or confluence units, to cascading impacts on road segments, community units, and critical infrastructure units, thus forming a disaster-disruption-degradation urban system propagation chain. By unifying slope segments, confluence units, road segments, community units, and critical infrastructure units into a single identification framework, it can accurately reflect the typical cascading process in mountainous cities where slope instability leads to road blockage, which in turn causes the isolation of multiple communities and the degradation of service networks. By extending the identification of rainstorm-induced geological disasters from the disaster itself to street-level urban system units, it can identify the cascading impacts of disasters on roads, communities, critical infrastructure, and service networks, making it more suitable for serving mountainous city planning, urban renewal, and spatial governance.

[0027] Specifically, in step S3, the affected urban system units in the target area are determined according to the propagation rules, and based on the affected urban system units after propagation, the block-level spatial function degradation results are identified. This functional degradation refers not only to physical damage but also to a decline in transportation functions, service functions, and public connectivity functions. For example, any urban system unit... The degree of spatial functional degradation is defined as the loss rate of pre-disaster functions compared to post-disaster functions: , In the formula, Representation unit The degree of spatial functional degradation; Representation unit The pre-disaster functional level; Representation unit The post-disaster functional level. For different types of units, the functional level... The physical meaning can vary; for example, it can represent traffic capacity for a road segment, external connectivity for a community unit, and service accessibility for a critical facility unit. The set of functional degradation units is defined as: , In the formula, The threshold for determining degradation; This represents a set of spatially degraded units. For a community unit, it defines the external connection status. for: , This leads to the collection of isolated communities. for: , Specifically, disaster identification results are transformed into spatial functional degradation identification results by identifying road sections with functional degradation, isolated communities, failed facility units, service disruption chains, and blocks with significantly reduced accessibility.

[0028] Furthermore, after determining the street-level spatial function degradation result of the target area, the method further includes: S4. Based on the results of the street-level spatial function degradation, identify the key nodes in the target area, intervene in the key nodes, and calculate the recovery effect of the key nodes after intervention to determine the minimum intervention priority.

[0029] In one specific embodiment, based on the identified street-level spatial function degradation results, key nodes that play a controlling role in the overall functional degradation are selected from degraded road sections, key slope sections, key facility units, and community connection nodes. Simulated reinforcement, dredging, and repair interventions are then performed on these key nodes, and the reduction in the number of degraded street-level functional units after the intervention is calculated to obtain the restoration gain of the key node. The unit cost restoration efficiency is calculated by combining the governance costs of each key node. The nodes are then sorted from high to low according to restoration gain or unit cost restoration efficiency to form a minimum intervention priority order, and a list of key nodes to be prioritized for governance is output.

[0030] Specifically, step S4 includes: S41, Identify key nodes in the target area based on the street-level spatial function degradation results; wherein, the key nodes include key blocking points and key facility nodes; S42, Perform simulated intervention on the key node and calculate the recovery effect of the key node after intervention; wherein, the recovery effect includes functional recovery gain or unit cost recovery efficiency; S43, determine the minimum intervention priority based on the recovery effect.

[0031] In one specific implementation, based on the results of street-level spatial function degradation, the key nodes most sensitive to overall degradation are identified. These key nodes include key blocking points (key blocking road sections, key slope sections) and key facility nodes (key facility units and key service nodes). The degree of improvement in degradation results after intervention (local treatment or reinforcement measures) at these key nodes is assessed. To avoid using a general weighted average score, a set restoration gain expression is preferred, such as for any key point... After intervention, let the set of degenerate units after intervention be . Then the recovery gain at this key point can be defined as: , In the formula, Indicates key points The functional recovery gains resulting from intervention. This indicates the size of the set of degenerate units before intervention. This indicates the size of the set of degraded units after intervention. Governance costs can be introduced. To obtain the unit cost recovery efficiency for: , Among them, according to or The size pattern can form a minimum intervention priority order, thus providing a priority basis for road reinforcement, slope treatment, facility protection and community relocation.

[0032] This invention constructs a complete propagation chain from rainstorms and geological disasters to the identification of street-level functional degradation. It can output key nodes such as street-level functional degradation units, critical road sections blocking the road, isolated communities, and key bottleneck facilities, providing clear targets for road reinforcement, slope management, community access optimization, and facility protection in mountainous cities. It forms a minimum intervention priority order, so that subsequent management no longer relies on experience-based judgment, but can carry out refined transformation based on the recovery effect of key nodes after intervention, which has significant engineering application value and planning support value.

[0033] This invention discloses a method for identifying street-level spatial function degradation. The method involves: determining disaster-triggered units in a target area based on the street-level urban system unit structure and rainfall conditions; defining the propagation relationship between the disaster-triggered units and other urban system units based on the propagation channels between these units; establishing propagation rules from the disaster-triggered units to the urban system units using a recursive set approach based on these propagation relationships; calculating the degree of spatial function degradation of the urban system units based on their pre-disaster and post-disaster functional levels; and determining the street-level spatial function degradation result of the target area based on the propagation rules and the degree of spatial function degradation. This method can transform rainstorm-induced geological disasters into impacts on street-level urban system functions, constructing a street-level disaster propagation identification mechanism, and realizing the propagation identification of rainstorm-induced geological disasters within the street-level urban system to determine the street-level spatial function degradation result. This solves the problem that existing technologies cannot identify the tiered propagation of disasters and functional degradation within a street.

[0034] See Figure 2 , Figure 2 This is a schematic diagram of the structure of a street-level spatial function degradation identification device 10 provided in an embodiment of the present invention. The street-level spatial function degradation identification device 10 includes: The triggering unit determination module 11 is used to determine the disaster triggering unit of the target area based on the street-level urban system unit system and rainfall conditions within the target area; The propagation rule establishment module 12 is used to define the propagation relationship between the disaster triggering unit and other urban system units based on the propagation channels between urban system units in the street-level urban system unit system; and to establish the propagation rules from the disaster triggering unit to the urban system unit using a recursive set method based on the propagation relationship. The degradation result determination module 13 is used to calculate the degree of spatial function degradation of the urban system unit based on the pre-disaster and post-disaster functional levels of the urban system unit; and to determine the block-level spatial function degradation result of the target area based on the propagation rules and the degree of spatial function degradation.

[0035] Furthermore, the street-level spatial function degradation identification device 10 also includes: The recovery effect calculation module is used to identify key nodes in the target area based on the street-level spatial function degradation results, intervene in the key nodes, and calculate the recovery effect of the key nodes after intervention in order to determine the minimum intervention priority.

[0036] The block-level spatial function degradation identification device 10 provided in this embodiment of the invention can realize all the processes of the block-level spatial function degradation identification method of the above embodiments. The functions and technical effects of each module in the device are the same as those of the block-level spatial function degradation identification method of the above embodiments, and will not be repeated here.

[0037] See Figure 3 , Figure 3 This is a schematic diagram of the structure of a street-level spatial function degradation identification device 20 provided in an embodiment of the present invention. The street-level spatial function degradation identification device 20 of this embodiment includes: a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. When the processor 21 executes the computer program, it implements the steps in the above-described street-level spatial function degradation identification method embodiment. Alternatively, when the processor 21 executes the computer program, it implements the functions of each module in the above-described street-level spatial function degradation identification device embodiment.

[0038] For example, the computer program may be divided into one or more modules, which are stored in the memory 22 and executed by the processor 21 to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the street-level spatial function degradation identification device 20.

[0039] The street-level spatial function degradation identification device 20 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The street-level spatial function degradation identification device 20 may include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will understand that the schematic diagram is merely an example of the street-level spatial function degradation identification device 20 and does not constitute a limitation on the device. It may include more or fewer components than illustrated, or combine certain components, or use different components. For example, the street-level spatial function degradation identification device 20 may also include input / output devices, network access devices, buses, etc.

[0040] The processor 21 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor 21 is the control center of the street-level spatial function degradation identification device 20, connecting all parts of the device through various interfaces and lines.

[0041] The memory 22 can be used to store the computer programs and / or modules. The processor 21 implements various functions of the street-level spatial function degradation identification device 20 by running or executing the computer programs and / or modules stored in the memory 22 and calling the data stored in the memory 22. The memory 22 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0042] The module integrated into the street-level spatial function degradation identification device 20, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by the processor 21, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium may be appropriately added to or subtracted from the content as required by the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium may not include electrical carrier signals and telecommunication signals.

[0043] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0044] Furthermore, embodiments of the present invention also provide a computer program product, which is stored in a storage medium and executed by at least one processor to implement the steps of the street-level spatial function degradation identification method described above.

[0045] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for identifying street-level spatial functional degradation, characterized in that, include: The disaster triggering units of the target area are determined based on the urban system unit structure at the street level and rainfall conditions within the target area; The propagation relationship between the disaster triggering unit and other urban system units is defined based on the propagation channels between urban system units in the street-level urban system unit system. Based on the propagation relationship, a propagation rule from the disaster triggering unit to the urban system unit is established using a recursive set approach; The degree of spatial functional degradation of the urban system unit is calculated based on its pre-disaster and post-disaster functional levels; the block-level spatial functional degradation result of the target area is determined based on the propagation rules and the degree of spatial functional degradation. The step of determining the disaster triggering unit of the target area based on the street-level urban system unit system and rainfall conditions within the target area includes: Acquire basic spatial data of the target area; wherein, the basic spatial data includes rainfall data, digital elevation model, slope and valley data, road network data, drainage and runoff data, community boundary data, key facility data and public service network data within the target area; Based on the aforementioned basic spatial data, a street-level urban system unit architecture for the target area is constructed. The disaster triggering units of the target area are determined based on the street-level urban system unit structure and rainfall conditions. The construction of the block-level urban system unit system for the target area based on the basic spatial data includes: Based on the aforementioned basic spatial data, the target area is discretized into several urban system units; Based on the basic spatial data, the spatial relationships between the urban system units are established to obtain the block-level urban system unit system of the target area; The process of determining the disaster triggering unit of the target area based on the street-level urban system unit architecture and rainfall conditions includes: The effective cumulative rainfall of each urban system unit in the street-level urban system unit system is determined based on the rainfall conditions of the target area. The disaster triggering unit of the target area is determined based on the effective cumulative rainfall and the preset critical response threshold.

2. The method for identifying street-level spatial function degradation as described in claim 1, characterized in that, After determining the street-level spatial function degradation result of the target area, the method further includes: Based on the results of the street-level spatial function degradation, key nodes in the target area are identified, interventions are made on the key nodes, and the recovery effect of the key nodes after intervention is calculated to determine the minimum intervention priority.

3. The method for identifying street-level spatial function degradation as described in claim 2, characterized in that, The process of identifying key nodes in the target area based on the street-level spatial function degradation results, intervening in the key nodes, and calculating the recovery effect of the key nodes after intervention to determine the minimum intervention priority includes: The key nodes of the target area are identified based on the results of the street-level spatial function degradation; wherein, the key nodes include key blocking points and key facility nodes; Simulated intervention is performed on the key nodes, and the recovery effect of the key nodes after the intervention is calculated; wherein, the recovery effect includes functional recovery gain or unit cost recovery efficiency; The minimum intervention priority is determined based on the recovery effect.

4. A street-level spatial function degradation identification device, characterized in that, include: The triggering unit determination module is used to determine the disaster triggering units of the target area based on the street-level urban system unit system and rainfall conditions within the target area; The propagation rule establishment module is used to define the propagation relationship between the disaster triggering unit and other urban system units based on the propagation channels between urban system units in the street-level urban system unit system. Based on the propagation relationship, a propagation rule from the disaster triggering unit to the urban system unit is established using a recursive set approach; The degradation result determination module is used to calculate the degree of spatial function degradation of the urban system unit based on its pre-disaster and post-disaster functional levels; and to determine the block-level spatial function degradation result of the target area based on the propagation rules and the degree of spatial function degradation. The triggering unit determining module is used for: Acquire basic spatial data of the target area; wherein, the basic spatial data includes rainfall data, digital elevation model, slope and valley data, road network data, drainage and runoff data, community boundary data, key facility data and public service network data within the target area; Based on the aforementioned basic spatial data, a street-level urban system unit architecture for the target area is constructed. The disaster triggering units of the target area are determined based on the street-level urban system unit structure and rainfall conditions. The construction of the block-level urban system unit system for the target area based on the basic spatial data includes: Based on the aforementioned basic spatial data, the target area is discretized into several urban system units; Based on the basic spatial data, the spatial relationships between the urban system units are established to obtain the block-level urban system unit system of the target area; The process of determining the disaster triggering unit of the target area based on the street-level urban system unit architecture and rainfall conditions includes: The effective cumulative rainfall of each urban system unit in the street-level urban system unit system is determined based on the rainfall conditions of the target area. The disaster triggering unit of the target area is determined based on the effective cumulative rainfall and the preset critical response threshold.

5. A street-level spatial function degradation identification device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the street-level spatial function degradation identification method as described in any one of claims 1-3.

6. A computer program product, characterized in that, The computer program product is stored in a storage medium and is executed by at least one processor to implement the steps of the block-level spatial function degradation identification method as described in any one of claims 1-3.

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