A Memorial Landscape Design Method and System Based on Third-Order Translation

Abstract

This invention relates to the field of memorial landscape design technology, and in particular to a memorial landscape design method and system based on third-order translation. The method includes acquiring ecological symbol data, spatial sequence data, and dynamic memory field data; generating a temporal ecological symbol stack, a spatial sequence matrix, and a dynamic memory field matrix; and statistically analyzing metaphor intensity indices and emotional resonance values. It calculates coupling strength indices through narrative coherence matrices and place spirit matrices, extracts memory activation demand density, assesses the risk of emotional overload to divide design zones, and optimizes strategies. This application enables efficient coupling of life metaphors and memory fields in memorial landscape design, enhancing the emotional expression and spatial experience of the design.

Description

Technical Field

[0001] This invention belongs to the field of landscape design technology, specifically a memorial landscape design method and system based on third-order translation. Background Technology

[0002] Against the backdrop of profound global demographic transformation, the arrival of an aging society has become an irreversible trend. This structural demographic change not only reshapes the demand for social services but also poses new transformation requirements for the functional attributes and cultural connotations of memorial spaces, especially memorial parks related to funeral services. In this context, transforming the succession and restoration processes of natural ecosystems into a medium for telling life stories and conveying emotional meaning, and exploring the deep coupling relationship between "life metaphors" and "memory fields," has become an urgent issue of our time. Studies such as Linda S et al. (2009)’s analysis of the Ground Zero memorial space revealed the mechanism by which spatial form carries the narrative of life loss and urban regeneration; Bryce Lease (2017) illustrated the activating effect of architectural and landscape sequences on historical memory through the case of the POLIN Museum in Warsaw; Kwak Yoonshin et al. (2021)’s construction of a socio-hydrological model coupled with the design process framework, and Danielle Drozdzewski (2024)’s study on the symbiotic relationship between implicit ecological elements and explicit monuments in Krakow’s Planty Park have promoted the quantitative and technological exploration of the interaction between ecology and memory. Some studies have presented a localized path of "ecological restoration - cultural narrative - digital integration". For example, Yu Kongjian's "big foot aesthetics" theory has led the practice of integrating ecological restoration and historical memory in industrial waste sites, laying the foundation for the synergy of ecological and commemorative functions; Li Fangzheng (2013), Zhu Tingting (2015), and others have explored the symbolic transmission of commemorative connotations through metaphor and symbolism; Liu Qiaochu (2016) has constructed an emotional resonance field based on narratology; Wang Lei (2018) has combined ecological restoration with regional cultural narrative in the design of the Hongqi Canal Memorial Park; Xu Jiao (2024) has realized the systematic protection of ecological elements and historical memory in commemorative gardens through digital technology; Wang Wenxuan and others (2025) have explored the multidimensional extension of ecological narratives through digital technology.

[0003] While existing research has made some breakthroughs in the spatial carriers, technical methods, and regional practices of ecological narratives, significant research gaps remain: First, the analysis of the intrinsic mechanism of the coupling between "life metaphor and memory field" is rather general, and the metaphorical generation logic of ecological elements lacks a systematic explanation; second, the psychological cognitive process of metaphor transmission and the dynamic laws of memory field changes in ecological dynamics lack interdisciplinary theoretical support. These problems make it difficult for existing commemorative landscape designs to achieve a deep synergy between ecological value and humanistic care, often remaining at the level of a simple superposition of ecology and memory, failing to fully explore their potential for synergistic effects.

[0004] Therefore, this invention focuses on the coupling mechanism of "life metaphor-memory field," and analyzes the mapping law between ecological processes and commemorative themes, the metaphorical cognitive psychological mechanism, and the ecological dynamic response of the memory field from an interdisciplinary perspective integrating ecological semiotics, place theory, environmental psychology, and narratology. The aim is to construct a coupling design theoretical system driven by ecological narrative. By proposing a "three-order translation" design method—symbol extraction, spatial construction, and dynamic activation—it achieves effective translation from abstract metaphorical concepts to concrete spatial experiences and then to dynamic memory practices. This provides systematic support for the synergistic enhancement of the ecological value and humanistic care of commemorative landscapes, and solves the problem of insufficient coupling between ecology and memory in existing technologies. Summary of the Invention

[0005] The purpose of this application is to provide a memorial landscape design method and system based on third-order translation. The specific technical solution adopted is as follows: This application provides a memorial landscape design method based on third-order translation, including the following steps: acquiring ecological symbol data, spatial sequence data, and dynamic memory field data of the memorial landscape design area; generating temporal ecological symbol stacks, spatial sequence matrices, and dynamic memory field matrices at each collection time through multi-dimensional data fusion; and statistically analyzing the metaphor intensity index and emotional resonance value of each design unit; obtaining the narrative coherence matrix and place spirit matrix at each collection time based on the temporal ecological symbol stacks and spatial sequence matrices of all design units at each collection time, thus obtaining... The narrative coherence and place spirit values ​​of each design unit at each collection time are used to determine the coupling strength index of life metaphor and memory field for each design unit at each collection time. Using the coupling strength index of all design units at each collection time, a coupling strength matrix for each collection time is obtained. The memory activation demand density of each design unit is extracted through the coupling strength matrix. Combining the memory activation demand density, metaphor strength index and emotional resonance value of each design unit in the coupling strength matrix, the degree of change of coupling strength in the coupling strength matrix is ​​comprehensively analyzed to obtain the emotional overload risk of the memorial landscape design of each design unit at each collection time. Based on the emotional overload risk, design zones are divided and strategies are optimized.

[0006] Preferably, an improved PageRank algorithm is used to obtain the narrative coherence matrix corresponding to the temporal ecological symbol stack of all design units at each acquisition time. Each element in the narrative coherence matrix at each acquisition time represents the narrative coherence value of each design unit at each acquisition time. Preferably, a Gaussian curvature field calculation method is used to obtain the place spirit matrix corresponding to the spatial sequence matrix of all design units at each acquisition time. Each element in the place spirit matrix at each acquisition time represents the place spirit value of each design unit at each acquisition time. Preferably, the method for obtaining the coupling strength index of life metaphor and memory field of each design unit at each acquisition time is as follows: ;in, Let be the coupling strength index between the life metaphor and the memory field of the i-th design unit at acquisition time t. Let be the narrative coherence value of the i-th design unit at acquisition time t. Let α and β be the place spirit value of the i-th design unit at acquisition time t, and α and β be weighting coefficients used to balance the importance of narrative coherence and place spirit. Preferably, the coupling strength index of all design units at each acquisition time is used to construct a coupling strength matrix for each acquisition time according to the coordinate position of the design unit. The element in the x-th row and y-th column of the coupling strength matrix at the current acquisition time represents the coupling strength value of the life metaphor and memory field of the design unit with coordinates (x, y) at the current acquisition time. Preferably, the method for obtaining the memory activation demand density of each design unit is as follows: an adaptive kernel density estimation algorithm is used to estimate the density of the coupling strength matrix at each acquisition time to obtain the memory activation demand density matrix at each acquisition time. Each element in the memory activation demand density matrix is ​​the memory activation demand density of the corresponding design unit. Preferably, the method for obtaining the emotional overload risk of each design unit's memorial landscape design at each acquisition time is as follows: ;in, The emotional overload risk of the memorial landscape design for the i-th design unit at time t. Let be the memory activation demand density of the i-th design unit at acquisition time t. The maximum value in the emotional resonance value matrix at time t is the value of the data collection. The maximum value of the spatial gradient corresponding to all design elements in the coupling strength matrix at acquisition time t is given. The maximum value of the spatial gradient is taken as the maximum value. Preferably, the memory activation demand density, metaphor intensity index, and emotional resonance value of each design unit in the coupling strength matrix at each acquisition time are used as inputs to the dynamic memory field model to obtain the emotional resonance value matrix at each acquisition time; the gradient magnitude of each design unit in the coupling strength matrix at each acquisition time is obtained through the Laplacian operator, and the absolute value of the gradient magnitude is recorded as the spatial gradient of the coupling strength of each design unit. Preferably, the step of dividing the design into partitions and optimizing the strategy according to the emotional overload risk level further includes: design units with an emotional overload risk level greater than 1 as key regions, and performing dynamic memory field simulation for key regions using a GPU parallel-accelerated three-dimensional emotional simulation model; static memory field simulation is performed for non-key regions using a linear superposition formula.

[0007] This application also provides a memorial landscape design system based on third-order translation, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any of the above-described memorial landscape design methods based on third-order translation. Attached Figure Description

[0008] Figure 1 A flowchart illustrating a memorial landscape design method based on third-order translation provided for embodiments of this application demonstrates the overall steps from data acquisition to calculation of emotional overload risk.

[0009] Figure 2 The structural block diagram of a memorial landscape design system based on third-order translation provided in this application embodiment includes the functional module relationship of memory, processor and computer program running environment. Detailed Implementation

[0010] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0011] This invention provides a memorial landscape design method and system based on third-order translation. Its core lies in assessing the emotional overload risk of the memorial landscape design area through multi-dimensional data fusion and multi-level analysis, and optimizing the zoning accordingly. The following is in conjunction with the appendix... Figure 1 and attached Figure 2 The specific embodiments of the present invention will be described in detail.

[0012] First, such as Figure 1As shown, the first step of this method is to acquire ecological symbol data, spatial sequence data, and dynamic memory field data of the commemorative landscape design area. This data acquisition can be accomplished using various sensor devices, such as high-resolution cameras mounted on drones to capture ecological symbol data, laser scanners to acquire spatial sequence data, and memory field data acquisition devices based on user behavior analysis. In practical applications, assuming a commemorative landscape design area is an urban park covering approximately 5000 square meters, containing multiple design units, each with an area of ​​approximately 100 square meters, the data acquired through the aforementioned devices, after preprocessing, generates a temporal ecological symbol stack, a spatial sequence matrix, and a dynamic memory field matrix for each acquisition time. Taking a certain acquisition time t as an example, assuming data from 100 design units were collected at that time, the temporal ecological symbol stack can be represented as a 100-row matrix, with each row corresponding to the ecological symbol feature vector of a design unit; the spatial sequence matrix is ​​a 100×100 adjacency matrix used to describe the spatial relationships between design units; and the dynamic memory field matrix is ​​also a 100×100 matrix, recording the intensity of emotional resonance between design units. Based on this, the metaphor intensity index and emotional resonance value of each design unit were statistically analyzed. The metaphor intensity index reflects the expressiveness of the design unit at the narrative level, while the emotional resonance value measures the ability of the design unit to stimulate the emotions of tourists.

[0013] Next, based on the temporal ecological symbol stacks and spatial sequence matrices of all design units at each acquisition time, the narrative coherence matrix and the place spirit matrix are calculated respectively. The narrative coherence matrix is ​​obtained using an improved PageRank algorithm, which iteratively calculates the node weights in the temporal ecological symbol stack to finally obtain the narrative coherence value of each design unit at each acquisition time. The specific formula is as follows: ,in, This represents the narrative coherence value of the i-th design unit, and d is the damping coefficient (usually taken as 0.85). The total number of design units, This represents the set of design units directly connected to design unit i. This represents the out-degree of design unit j. This formula quantifies the importance of each design unit within the narrative structure. The place spirit matrix is ​​calculated using the Gaussian curvature field method. By analyzing the geometric characteristics of the spatial sequence matrix, the place spirit value of each design unit is obtained. The specific formula is as follows: ,in, This represents the place spirit value of the i-th design unit. and These represent the determinants of the second and first basic forms, respectively. The calculation results of these two matrices will serve as the basis for the subsequent coupling strength index.

[0014] Furthermore, based on the narrative coherence matrix and the place-spirit matrix, the coupling strength index of life metaphor and memory field for each design unit at each acquisition time is calculated. The formula for calculating the coupling strength index is: ;in, Let be the coupling strength index between the life metaphor and the memory field of the i-th design unit at acquisition time t. Let be the narrative coherence value of the i-th design unit at acquisition time t. Let α and β be the place spirit value of the i-th design unit at acquisition time t, and β be weighting coefficients used to balance the importance of narrative coherence and place spirit. In practical applications, the values ​​of α and β can be adjusted according to specific needs; for example, when more emphasis is placed on narrative coherence, α > β can be set. This formula can quantify the degree of association between life metaphor and memory field for each design unit. Subsequently, the coupling strength index of all design units at each acquisition time is used to construct a coupling strength matrix according to the coordinate position of the design unit. The element in the x-th row and y-th column of the coupling strength matrix at the current acquisition time represents the coupling strength value between life metaphor and memory field of the design unit with coordinates (x, y) at the current acquisition time.

[0015] After obtaining the coupling strength matrix, the next step is to extract the memory activation demand density of each design unit. This process uses an adaptive kernel density estimation algorithm to estimate the coupling strength matrix, obtaining the memory activation demand density matrix at each acquisition time. The specific formula is as follows: ,in, This represents the memory activation demand density of the i-th design unit at acquisition time t, where n is the total number of design units and h is the bandwidth parameter. This is the kernel function. This formula quantifies the intensity of memory activation demand for each design unit. Furthermore, by combining the memory activation demand density, metaphor intensity index, and emotional resonance value of each design unit in the coupling strength matrix, and considering the degree of change in coupling strength within the coupling strength matrix, the emotional overload risk of each design unit in the memorial landscape design at each data collection time is calculated. The formula for calculating the emotional overload risk is: ;in, The emotional overload risk of the memorial landscape design for the i-th design unit at time t. Let be the memory activation demand density of the i-th design unit at acquisition time t. The maximum value in the emotional resonance value matrix at time t is the value of the data collection. The maximum value of the spatial gradient corresponding to all design elements in the coupling strength matrix at acquisition time t is given. This represents the maximum value of the spatial gradient. This formula allows for the quantification of the potential risk of emotional overload in each design unit.

[0016] To further refine the calculation process of emotional overload risk, the memory activation demand density, metaphor intensity index, and emotional resonance value of each design unit in the coupling strength matrix at each acquisition time are used as inputs to the dynamic memory field model, resulting in an emotional resonance value matrix at each acquisition time. The core of the dynamic memory field model lies in capturing the emotional interaction relationships between design units through nonlinear mapping, thereby improving the prediction accuracy of emotional resonance values. Furthermore, the coupling strength matrix at each acquisition time is processed using the Laplacian operator to obtain the gradient magnitude of each design unit, and the absolute value of the gradient magnitude is recorded as the spatial gradient of the coupling strength of each design unit. The specific formula is as follows: ,in, This represents the spatial gradient of the coupling strength of the i-th design unit at acquisition time t. This represents the coupling strength gradient of the design unit at acquisition time t. This formula allows for the quantification of the spatial trend of each design unit.

[0017] Finally, the design is partitioned based on the risk level of emotional overload, and strategy optimization is performed. Specifically, design units with an emotional overload risk level greater than 1 are designated as critical regions. For these critical regions, a GPU-accelerated 3D emotional simulation model is used for dynamic memory field simulation. The core of the 3D emotional simulation model lies in rapidly generating emotional distribution maps for critical regions through large-scale parallel computing, thus providing a basis for design optimization. For non-critical regions, a linear superposition formula is used for static memory field simulation to reduce computational complexity. The specific formula is as follows: ,in, This represents the static memory field value of the i-th design unit at acquisition time t. This represents the weight of the j-th design unit. This represents the emotional resonance value of the j-th design unit at acquisition time t. This formula simplifies the emotional simulation process for non-critical areas.

[0018] like Figure 2As shown, this application also provides a memorial landscape design system based on third-order translation, including a memory, a processor, and a computer program stored in the memory and running on the processor. The memory is used to store all data and intermediate results involved in the above method, such as a temporal ecological symbol stack, a spatial sequence matrix, and a dynamic memory field matrix; the processor is responsible for executing the computer program to implement the various steps in the above method. In practical applications, this system can be deployed on a high-performance server and interact with external devices through a network interface. For example, ecological symbol data collected by a drone can be uploaded to the server in real time via a wireless transmission module. The processor in the server processes the data according to a preset algorithm and feeds the results back to the designer's workstation.

[0019] In summary, this application achieves an assessment of the emotional overload risk in memorial landscape design areas through multi-dimensional data fusion and multi-level analysis, and optimizes zoning accordingly. In practical applications, this method can not only improve the scientific rigor and accuracy of memorial landscape design, but also significantly reduce the trial-and-error costs in the design process, demonstrating significant practical value and promising prospects for wider application.

Claims

1. A memorial landscape design method based on third-order translation, characterized in that, Includes the following steps: Acquire spatial sequence data and dynamic memory field data of ecological symbols in the commemorative landscape design area. Generate temporal ecological symbol stack spatial sequence matrix and dynamic memory field matrix at each collection time through multi-dimensional data fusion. Calculate the metaphor intensity index and emotional resonance value of each design unit. Based on the temporal ecological symbol stack and spatial sequence matrix of all design units at each collection time, the narrative coherence matrix and place spirit matrix of each collection time are obtained, thus obtaining the narrative coherence and place spirit values ​​of each design unit at each collection time. This allows for the determination of the coupling strength index of life metaphor and memory field for each design unit at each collection time. Using the coupling strength index of all design units at each collection time, the coupling strength matrix of each collection time is obtained. The memory activation demand density of each design unit is extracted through the coupling strength matrix. Combined with the metaphor strength index of the memory activation demand density of each design unit in the coupling strength matrix and the emotional resonance value, the degree of change in coupling strength in the coupling strength matrix is ​​comprehensively analyzed to obtain the emotional overload risk of the commemorative landscape design of each design unit at each collection time. The design is divided into zones based on the level of emotional overload risk, and strategies are optimized accordingly.

2. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, An improved PageRank algorithm is used to obtain the narrative coherence matrix corresponding to the temporal ecological symbol stack of all design units at each acquisition time. Each element in the narrative coherence matrix at each acquisition time represents the narrative coherence value of each design unit at each acquisition time.

3. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The Gaussian curvature field calculation method is used to obtain the site spirit matrix corresponding to the spatial sequence matrix of all design units at each acquisition time. Each element in the site spirit matrix at each acquisition time represents the site spirit value of each design unit at each acquisition time.

4. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The method for obtaining the coupling strength index of life metaphor and memory field for each design unit at each acquisition time is as follows: ;in, Let be the coupling strength index between the life metaphor and the memory field of the i-th design unit at acquisition time t. Let be the narrative coherence value of the i-th design unit at acquisition time t. Let α be the location mental value of the i-th design unit at time t, and β be the weighting coefficients.

5. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The coupling strength index of all design units at each acquisition time is used to construct the coupling strength matrix of each acquisition time according to the coordinate position of the design unit. The element in the x-th row and y-th column of the coupling strength matrix at the current acquisition time represents the coupling strength value of the life metaphor and memory field of the design unit with coordinates (x,y) at the current acquisition time.

6. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The method for obtaining the memory activation demand density of each design unit is as follows: an adaptive kernel density estimation algorithm is used to estimate the coupling strength matrix at each acquisition time to obtain the memory activation demand density matrix at each acquisition time. Each element in the memory activation demand density matrix is ​​the memory activation demand density of the corresponding design unit.

7. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The method for obtaining the emotional overload risk of each design unit's memorial landscape design at each data collection time is as follows: ;in, The emotional overload risk of the memorial landscape design for the i-th design unit at time t. Let be the memory activation demand density of the i-th design unit at acquisition time t. The maximum value in the emotional resonance value matrix at time t is the value of the data collection. The maximum value of the spatial gradient corresponding to all design elements in the coupling strength matrix at acquisition time t is given. This represents the maximum value of the spatial gradient.

8. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The memory activation demand density metaphor intensity index and emotional resonance value of each design unit in the coupling strength matrix at each acquisition time are used as inputs to the dynamic memory field model to obtain the emotional resonance value matrix at each acquisition time. The gradient magnitude of each design unit in the coupling strength matrix at each acquisition time is obtained through the Laplacian operator, and the absolute value of the gradient magnitude is recorded as the spatial gradient of the coupling strength of each design unit.

9. The memorial landscape design method based on third-order translation as described in claim 1, characterized in that, The step of dividing the design into partitions and optimizing the strategy based on the emotional overload risk level further includes: designing design units with an emotional overload risk level greater than 1 as key regions, and performing dynamic memory field simulation for key regions using a GPU parallel-accelerated 3D emotional simulation model; and performing static memory field simulation for non-key regions using a linear superposition formula.

10. A memorial landscape design system based on third-order translation, comprising a memory processor and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the memorial landscape design method based on third-order translation as described in any one of claims 1 to 9.

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