Mountain city heat resilience identification method, device, equipment, medium and product

Abstract

The application discloses a mountainous city heat resilience identification method, device, equipment, medium and product, obtains high temperature event time series data, mountainous terrain data, block form data and space unit data of a target area in a mountainous city; constructs a block-level heat response unit system, and identifies a temperature rising process, heat accumulation process, heat dissipation process and recovery process of each heat response unit in an extreme high temperature event based on the high temperature event time series data, so as to calculate heat resilience indexes of the heat response unit, including a temperature rising rate, heat accumulation amount, maximum heat dissipation efficiency and recovery time; and according to the heat resilience indexes and a preset mountainous terrain constraint, a heat resilience weak unit, heat accumulation key unit, heat dissipation blocking unit and recovery slow unit are identified. By using the application, heat resilience identification of a block-level space unit of a mountainous city can be realized, and it is favorable to match appropriate intervention means according to the heat resilience identification result, so that the heat resilience of the mountainous city is improved.

Description

Technical Field

[0001] This invention relates to the field of urban planning technology, and in particular to a method, apparatus, equipment, medium and product for identifying the thermal resilience of mountainous cities. Background Technology

[0002] Mountainous cities exhibit significantly different thermal risk characteristics compared to plains cities under extreme heat events. Influenced by factors such as elevation differences, slope aspect, spatial organization of valleys / plateaus / slopes, variations in building shading, wind resistance or heat storage effects of mountains, and the structure of three-dimensional roads and open spaces, different blocks, roads, open spaces, and community nodes respond differently to heat events. Some units heat up faster, some are more prone to heat accumulation, some experience hindered heat dissipation, and some recover slowly after the event ends. This results in significant block-level differences and sensitivity to three-dimensional terrain in the thermal risk of mountainous cities.

[0003] Current research on urban thermal risk performance under high-temperature events mainly focuses on identifying the causes and dominant factors of thermal environment, or on identifying overall urban thermal risk or adjusting thermal comfort. However, with the increasing demand for urban renewal, open space optimization, age-friendly environment improvement, and high-temperature risk management in mountainous cities, identifying which urban blocks are more likely to lose their ability to maintain, mitigate, and recover from the impact of thermal risks under extreme high-temperature events is particularly crucial for urban renewal, open space optimization, age-friendly environment improvement, and high-temperature resilience management in mountainous cities. Summary of the Invention

[0004] The purpose of this invention is to provide a method, apparatus, equipment, medium, and product for identifying the thermal resilience of mountain cities. This method enables the identification of thermal resilience of street-level spatial units in mountain cities, and facilitates the matching of appropriate intervention measures based on the thermal resilience identification results to improve the thermal resilience of mountain cities.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for identifying the thermal resilience of mountainous cities, comprising: Acquire time-series data of high-temperature events, mountain topography data, street morphology data, and spatial unit data for the target area in the target mountain city; Based on the mountain terrain data, the street block morphology data, and the spatial unit data, a street block-level thermal response unit system is constructed; wherein, the thermal response unit system includes at least one of the following thermal response units: street block unit, road open space unit, slope aspect unit, valley unit, and key node unit; Based on the time-series data of the high-temperature events, the heating process, heat accumulation process, heat dissipation process, and recovery process of each thermal response unit in the extreme high-temperature event are identified, so as to calculate the thermal toughness index of the thermal response unit respectively; wherein, the thermal toughness index includes heating rate, heat accumulation amount, maximum heat dissipation efficiency, and recovery time; Based on the thermal toughness index of each thermal response unit and combined with the preset mountain terrain constraints, the thermally weak unit, the key unit for heat accumulation, the heat dissipation hindering unit, and the slow recovery unit in the thermal response unit are identified.

[0006] As an improvement to the above solution, the method further includes: All the thermally weak units, the key units for heat accumulation, the units that hinder heat dissipation, and the units that recover slowly are selected as candidate intervention points; Calculate the total recovery gain or unit cost recovery gain for each candidate intervention point after intervention; Sort all the candidate intervention points from high to low according to the total recovery gain or the unit cost recovery gain, and determine the intervention priority order of each candidate intervention point.

[0007] As an improvement to the above scheme, the formula for calculating the heating rate is: The formula for calculating the amount of heat accumulation is: The formula for calculating the maximum heat dissipation efficiency is: The formula for calculating the recovery time is: in, Indicates thermal response unit Maximum heating rate, Indicates thermal response unit At any moment Temperature response, Indicates thermal response unit During high-temperature events The amount of heat accumulation, This is the high-temperature reference temperature. Indicates thermal response unit Maximum heat dissipation rate The peak of the event, The end time of the recovery phase. Indicates thermal response unit The time required to recover from the peak state to near the baseline state To restore the judgment tolerance.

[0008] As an improvement to the above solution, the step of identifying thermally weak units, key units for heat accumulation, heat dissipation hindering units, and slow-recovery units in the thermal response units based on the thermal toughness index of each thermal response unit and in conjunction with preset mountain terrain constraints includes: Based on the preset mountainous terrain constraints, a benchmark threshold corresponding to each of the aforementioned thermal toughness indices is determined; wherein, the benchmark threshold includes a heating rate threshold, a heat accumulation threshold, a heat dissipation efficiency threshold, and a recovery time threshold; When the heating rate is greater than or equal to the heating rate threshold, the heat accumulation is greater than or equal to the heat accumulation threshold, the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, and the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a thermally weak unit. When the amount of heat accumulation is greater than or equal to the threshold value of heat accumulation, the thermal response unit is determined to be a key unit for heat accumulation. When the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, the thermal response unit is determined to be a heat dissipation blocking unit. When the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a slow recovery unit.

[0009] As an improvement to the above scheme, the mountainous terrain constraints are determined based on at least one of the following factors: elevation difference, slope aspect, valley / plateau / slope space, building shading differences, mountain heat storage, wind resistance effect, and three-dimensional road and open space structure of the target mountainous city.

[0010] As an improvement to the above scheme, the formula for calculating the recovery gain is as follows: The formula for calculating the unit cost recovery gain is as follows: in, Indicates the candidate intervention point The total recovery gain in thermal toughness after intervention This indicates the size of the set of thermally resistant weak units before intervention. This indicates the size of the set of thermally resistant weak units after intervention; For governance costs.

[0011] This invention also provides a thermal resilience identification device for mountainous cities, comprising: The data acquisition module is used to acquire time-series data of high-temperature events, mountain terrain data, street morphology data, and spatial unit data of the target area in the target mountain city. The unit construction module is used to construct a street-level thermal response unit system based on the mountain terrain data, the street morphology data, and the spatial unit data; wherein, the thermal response unit system includes at least one of the following thermal response units: street unit, road open space unit, slope unit, valley unit, and key node unit; The index calculation module is used to identify the heating process, heat accumulation process, heat dissipation process and recovery process of each thermal response unit in an extreme high temperature event based on the high temperature event time series data, so as to calculate the thermal toughness index of the thermal response unit respectively; wherein, the thermal toughness index includes heating rate, heat accumulation amount, maximum heat dissipation efficiency and recovery time; The thermal toughness identification module is used to identify thermally weak units, key units for heat accumulation, heat dissipation hindering units, and slow recovery units in the thermal response units based on the thermal toughness index of each thermal response unit and in combination with the preset mountain terrain constraints.

[0012] This invention also provides a thermal resilience identification device for mountainous cities, 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 thermal resilience identification method for mountainous cities as described in any of the above embodiments.

[0013] This invention also provides a computer-readable storage medium comprising a stored computer program, wherein the computer program, when running, controls the device containing the computer-readable storage medium to execute the thermal resilience identification method for mountainous cities as described in any of the preceding embodiments.

[0014] This invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or computer instructions are executed by a processor, they implement the thermal resilience identification method for mountainous cities as described in any of the above embodiments.

[0015] Compared with existing technologies, the thermal resilience identification method, apparatus, equipment, medium, and product for mountainous cities disclosed in this invention identify the thermal resilience of mountainous cities at the street level. It can characterize the maintenance, mitigation, and recovery capabilities of street spatial units in mountainous cities under the influence of high-temperature events. It also incorporates mountainous features and topographical constraints, effectively identifying thermally resilient weak units, key units for heat accumulation, heat dissipation hindering units, and slow-recovery units in mountainous cities. This makes the identification results more consistent with the real spatial logic of thermal risks in mountainous cities. Moreover, the identification results can directly serve urban renewal, open space optimization, and high-temperature risk management in mountainous cities. It is beneficial to match appropriate intervention measures based on the thermal resilience identification results to improve the thermal resilience of mountainous cities. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a method for identifying the thermal resilience of mountainous cities according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a thermal resilience identification device for mountainous cities provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a thermal resilience identification device for mountainous cities provided in an embodiment of the present invention. Detailed Implementation

[0017] 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.

[0018] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0019] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0020] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0021] See Figure 1This is a flowchart illustrating a method for identifying the thermal resilience of mountainous cities according to an embodiment of the present invention. The embodiment of the present invention also provides a method for identifying the thermal resilience of mountainous cities, including steps S11 to S14: S11. Obtain time-series data of high-temperature events, mountain terrain data, street morphology data, and spatial unit data for the target area in the target mountain city; S12. Based on the mountain terrain data, the street block morphology data, and the spatial unit data, construct a street block-level thermal response unit system; wherein, the thermal response unit system includes at least one of the following thermal response units: street block unit, road open space unit, slope unit, valley unit, and key node unit; S13. Based on the time-series data of the high-temperature event, identify the heating process, heat accumulation process, heat dissipation process and recovery process of each thermal response unit in the extreme high-temperature event, so as to calculate the thermal toughness index of the thermal response unit respectively; wherein, the thermal toughness index includes heating rate, heat accumulation amount, maximum heat dissipation efficiency and recovery time. S14. Based on the thermal toughness index of each thermal response unit and combined with the preset mountain terrain constraints, identify the thermally weak unit, the key unit for heat accumulation, the heat dissipation hindering unit, and the slow recovery unit in the thermal response unit.

[0022] It should be noted that thermal resilience refers to the ability to withstand high-temperature shocks. Specifically, it refers to the comprehensive ability of a city, neighborhood, or spatial unit to maintain basic functions, slow down heat accumulation, effectively dissipate heat, and quickly return to normal thermal environment after the high-temperature event (such as heat waves or exacerbated heat island effects) ends.

[0023] The thermal toughness identification method described in this invention can be applied to at least one of the following scenarios: mountain residential blocks, mountain city roads, and blocks surrounding mountain rail stations.

[0024] In this embodiment of the invention, to achieve thermal resilience identification for mountainous cities, focusing on street-level spatial units, and characterizing the entire process of heating, heat accumulation, heat dissipation, and recovery during high-temperature events, a street-level thermal response unit system is first constructed. This involves acquiring time-series data of high-temperature events, mountainous terrain data, street morphology data, and spatial unit data within the target area of ​​the mountainous city. The mountainous terrain data includes digital elevation models, aspect data, and valley / plateau / slope spatial data. The spatial unit data includes building outlines, building heights, shading data, ground cover data, and open space data such as roads, plazas, and communities. Based on the above data, the target area is discretized into multiple thermal response units, including street units, road open space units, aspect units, valley / plateau units, and key node units.

[0025] Preferably, a correspondence is established between all the aforementioned thermal response units and the mountainous terrain, street morphology, and underlying surface properties. To uniformly represent the street-level thermal response system, it can be expressed as: in, This indicates a street-level thermal response network. This represents a set of thermal response units, including at least a set of street blocks. Road open space unit collection Slope aspect unit set Valley / plateau unit set and key node unit set ; This step represents the spatial adjacency, shading effects, ventilation exchange, and heat transfer / retention relationships between units. Through this step, the evaluation object is no longer an ordinary temperature pixel, but a functional spatial unit capable of identifying street-level thermal processes.

[0026] Furthermore, high-temperature event scenarios are defined and thermal event response processes are identified. Based on the time-series data of the high-temperature events, including the temperature time series, duration, and diurnal variation characteristics of extreme high-temperature events, and combined with the terrain and morphological attributes of each thermal response unit, the heating process, heat accumulation process, heat dissipation process, and recovery process of each unit are identified. To avoid using a simple weighted total score, this invention prioritizes process-based and threshold-based expressions. Through the above process-based indicators, the heating process, heat accumulation process, heat dissipation process, and recovery process of each thermal response unit in a high-temperature event can be characterized separately, thereby calculating the heating rate, heat accumulation amount, maximum heat dissipation efficiency (i.e., heat dissipation capacity), and recovery time of the thermal response unit, instead of simply outputting a single temperature value.

[0027] Furthermore, a thermal resilience identification logic constrained by mountainous terrain is established, focusing on four core processes: "how quickly temperatures rise, how easily heat accumulates, how difficult it is to dissipate heat, and how long it takes to recover." Based on this logic and the thermal resilience indicators quantified from the thermal process performance of each thermal response unit during high-temperature events, weak thermal resilience units, key heat accumulation units, heat dissipation hindering units, and slow recovery units are identified. These unit types can be superimposed to identify key weak areas that are prone to heat accumulation and slow recovery. The output is no longer a simple thermal risk map, but a thermal resilience identification result for street-level spatial units. This helps determine which street-level spatial units are more likely to lose their ability to maintain, mitigate, and recover from the impact of thermal risks under extreme high-temperature events, thereby enabling targeted street renewal, open space optimization, age-friendly environment improvement, and high-temperature resilience governance in mountainous cities.

[0028] By employing the technical means of this invention, the target of identification is determined as the spatial thermal resilience of mountain cities at the street level. This can characterize the maintenance, mitigation, and recovery capabilities of street spatial units in mountain cities under the influence of high-temperature events. It also incorporates mountain characteristics and topographical constraints, effectively identifying units with weak thermal resilience, key units for heat accumulation, units that hinder heat dissipation, and units that recover slowly in mountain cities. This makes the identification results more consistent with the real spatial logic of thermal risks in mountain cities, and the identification results can directly serve urban renewal, open space optimization, and high-temperature risk management in mountain cities. It is also beneficial to match appropriate intervention measures based on the thermal resilience identification results to improve the thermal resilience of mountain cities.

[0029] As a preferred embodiment, the present invention further implements the above embodiments and uses the following calculation formula to calculate the thermal toughness index of the thermal response unit.

[0030] First, for any thermal response unit Define it during a high-temperature event High temperature reference temperature inside The formula for calculating the heating rate is: The formula for calculating the amount of heat accumulation is: The formula for calculating the maximum heat dissipation efficiency is: The formula for calculating the recovery time is: in, Indicates thermal response unit Maximum heating rate, Indicates thermal response unit At any moment Temperature response, Indicates thermal response unit During high-temperature events The amount of heat accumulation, This is the high-temperature reference temperature. Indicates thermal response unit Maximum heat dissipation rate The peak of the event, The end time of the recovery phase. Indicates thermal response unit The time required to recover from the peak state to near the baseline state To restore the judgment tolerance.

[0031] Preferably, the method further includes: introducing the influence of thermal air coupling parameters during the heat dissipation and recovery processes to correct the maximum heat dissipation efficiency and the recovery time; wherein the thermal air coupling parameters include wind speed, wind direction, air duct accessibility, or simplified ventilation index.

[0032] In a preferred embodiment, the step of identifying thermally weak units, key units for heat accumulation, heat dissipation hindering units, and slow-recovery units among the thermal response units based on the thermal toughness index of each thermal response unit and in conjunction with preset mountain terrain constraints includes: Based on the preset mountainous terrain constraints, a benchmark threshold corresponding to each of the aforementioned thermal toughness indices is determined; wherein, the benchmark threshold includes a heating rate threshold, a heat accumulation threshold, a heat dissipation efficiency threshold, and a recovery time threshold; When the heating rate is greater than or equal to the heating rate threshold, the heat accumulation is greater than or equal to the heat accumulation threshold, the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, and the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a thermally weak unit. When the amount of heat accumulation is greater than or equal to the threshold value of heat accumulation, the thermal response unit is determined to be a key unit for heat accumulation. When the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, the thermal response unit is determined to be a heat dissipation blocking unit. When the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a slow recovery unit.

[0033] Preferably, the mountainous terrain constraints are determined based on at least one of the following factors: elevation difference, slope aspect, valley / plateau / slope space, building shading differences, mountain heat storage, wind resistance effect, and three-dimensional road and open space structure. That is, the mountainous terrain constraints primarily reflect the moderating effect of elevation difference, slope aspect, valley / plateau / slope space, building shading differences, mountain heat storage or wind resistance effect, and three-dimensional road and open space structure on the thermal process. For example, regarding elevation difference and slope aspect, south-facing slopes heat up quickly while north-facing slopes heat up slowly; regarding valley / plateau factors, heat storage occurs at the valley floor, and heat dissipation at the plateau relies on ventilation; regarding wind resistance, wind channels at the valley floor are blocked, reducing heat dissipation capacity; regarding building shading, units with sufficient shading heat up slowly and accumulate less heat. This embodiment of the invention determines the baseline thresholds corresponding to the heating rate, heat accumulation, maximum heat dissipation efficiency, and recovery time of each unit based on the mountainous terrain constraints of the current target area.

[0034] In this embodiment of the invention, to avoid simple empirical weighting, the thermal response unit can be... The thermal toughness state is represented as a process vector: in, These correspond to heating rate, heat accumulation, heat dissipation capacity, and recovery time, respectively.

[0035] Thermal toughness identification does not rely on a single total score, but rather on a combination of process thresholds. Based on the thermal process performance of each unit during high-temperature events, units with weak thermal toughness, key units for heat accumulation, units with impeded heat dissipation, and units with slow recovery are identified.

[0036] For elements with weak thermal toughness, it can be defined as: in, This represents a set of thermally weak elements. , , , These are the thresholds corresponding to the heating, heat accumulation, heat dissipation, and recovery processes, namely, the heating rate threshold, heat accumulation threshold, heat dissipation efficiency threshold, and recovery time threshold. This process-threshold-based identification method avoids relying heavily on simple weighted scoring expressions based on empirical weights.

[0037] For key units of thermal accumulation, a set can be defined: For heat dissipation blocking units, a set can be defined: For units with slow recovery, a set can be defined: in, , and These represent the sets of key units for thermal accumulation, the sets of units that hinder heat dissipation, and the sets of units that recover slowly, respectively.

[0038] The technical means employed in this invention provide calculation methods for various thermal toughness indicators and definition methods for different thermal response unit types, which helps to clarify the thermal toughness identification standards for mountainous cities and improve the accuracy of thermal toughness identification.

[0039] As a preferred embodiment, the present invention is further implemented based on any of the above embodiments, and the method further includes steps S21 to S23: S21. Select all the thermally weak units, the key units for heat accumulation, the units that hinder heat dissipation, and the units that recover slowly as candidate intervention points. S22. Calculate the total recovery gain or unit cost recovery gain of each candidate intervention point after intervention; S23. Sort all the candidate intervention points from high to low according to the total recovery gain or the unit cost recovery gain, and determine the intervention priority order of each candidate intervention point.

[0040] In this embodiment of the invention, based on the thermal toughness recovery effect of each thermal response unit before and after improvement, an intervention priority order is output to guide the renewal of mountainous blocks, optimization of open spaces, and management of high temperature risks.

[0041] For any candidate intervention point n, let the set of thermally resistant weak elements after intervention be . The formula for calculating the recovery gain is: If governance costs are further introduced, the formula for calculating the unit cost recovery gain is: in, Indicates the candidate intervention point The total recovery gain in thermal toughness after intervention This indicates the size of the set of thermally resistant weak units before intervention. This indicates the size of the set of thermally resistant weak units after intervention; For governance costs.

[0042] according to or The size and regularity of these factors can form a minimum intervention priority order. Priority objects can include road open space nodes, low-wind-speed valley areas, heat accumulation platform interfaces, and nodes with insufficient shading, thus providing a clear order of priority for thermal resilience management of mountainous blocks. Furthermore, based on this intervention preference order, intervention funds, design, and construction resources are allocated to each unit according to priority.

[0043] In a preferred embodiment, the method further includes step S24: S24. According to the preset correspondence between thermal response unit type and intervention measures, match the corresponding intervention measures for each candidate intervention point.

[0044] For example, the thermally weak unit has poor overall heat resistance and fails to meet multiple process indicators. Therefore, its corresponding intervention measure is a comprehensive street-level renewal, including but not limited to changes in morphology, materials, vegetation, and ventilation. The heat accumulation key unit absorbs and stores a lot of heat, becoming a heat source. Therefore, its corresponding intervention measure is source reduction, including shading, the use of high-reflectivity materials, and evaporative cooling. The heat dissipation stagnation point unit cannot dissipate heat, resulting in sustained high temperatures in some areas. Therefore, its corresponding intervention measures are to open up ventilation paths, remove or reduce obstacles, and install three-dimensional air ducts. The slow-cooling unit cools slowly at night or after events, accumulating thermal fatigue. Therefore, its corresponding intervention measures are to increase heat capacity, introduce cold sources, and improve nighttime ventilation.

[0045] Furthermore, after matching the intervention measures for each of the thermal response units, the thermal response units are intervened according to the intervention measures.

[0046] By employing the technical means of this invention, and determining the priority order and intervention measures for identified thermal response unit types such as thermally weak units, key units for heat accumulation, heat dissipation hindering units, and slow recovery units, it is beneficial to better realize urban renewal in mountainous areas, optimization of open spaces, and management of high-temperature risks, and effectively improve the thermal resilience of mountainous cities.

[0047] See Figure 2 This is a schematic diagram of the structure of a thermal resilience identification device for mountainous cities provided in an embodiment of the present invention. The embodiment of the present invention also provides a thermal resilience identification device 10 for mountainous cities, comprising: Data acquisition module 11 is used to acquire time series data of high temperature events, mountain terrain data, street morphology data and spatial unit data of the target area in the target mountain city; The unit construction module 12 is used to construct a street-level thermal response unit system based on the mountain terrain data, the street morphology data, and the spatial unit data; wherein, the thermal response unit system includes at least one of the following thermal response units: street unit, road open space unit, slope unit, valley unit, and key node unit; The index calculation module 13 is used to identify the heating process, heat accumulation process, heat dissipation process and recovery process of each thermal response unit in an extreme high temperature event based on the high temperature event time series data, so as to calculate the thermal toughness index of the thermal response unit respectively; wherein, the thermal toughness index includes heating rate, heat accumulation amount, maximum heat dissipation efficiency and recovery time; The thermal toughness identification module 14 is used to identify the thermally weak unit, the key unit for heat accumulation, the heat dissipation hindering unit, and the slow recovery unit in the thermal response unit based on the thermal toughness index of each thermal response unit and in combination with the preset mountain terrain constraints.

[0048] In a preferred embodiment, the device 10 further includes: The candidate intervention point acquisition module is used to identify all the thermally weak units, the key units for thermal accumulation, the units that hinder heat dissipation, and the units that recover slowly as candidate intervention points. The recovery gain calculation module is used to calculate the total recovery gain or unit cost recovery gain of each candidate intervention point after intervention; The intervention priority determination module is used to sort all the candidate intervention points from high to low according to the magnitude of the total recovery gain or the unit cost recovery gain, and determine the intervention priority of each candidate intervention point.

[0049] The intervention determination module is used to match corresponding intervention measures for each candidate intervention point according to the preset correspondence between thermal response unit type and intervention measures.

[0050] It should be noted that the thermal resilience identification device for mountainous cities provided in this embodiment of the invention is used to execute all the process steps of the thermal resilience identification method for mountainous cities described in the above embodiment. The working principles and beneficial effects of the two are one-to-one, so they will not be described again.

[0051] See Figure 3 This is a schematic diagram of the structure of a thermal resilience identification device for mountainous cities provided in an embodiment of the present invention. The present invention also provides a thermal resilience identification device 20 for mountainous cities, including a processor 21, a memory 22, 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 thermal resilience identification method for mountainous cities as described in any of the above embodiments.

[0052] This invention also provides a computer-readable storage medium, which includes a stored computer program, wherein the computer program, when running, controls the device where the computer-readable storage medium is located to execute the thermal resilience identification method for mountainous cities as described in any of the above embodiments.

[0053] This invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or computer instructions are executed by a processor, they implement the thermal resilience identification method for mountainous cities as described in any of the above embodiments.

[0054] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0055] 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 the thermal resilience of mountainous cities, characterized in that, include: Acquire time-series data of high-temperature events, mountain topography data, street morphology data, and spatial unit data for the target area in the target mountain city; Based on the mountain terrain data, the street block morphology data, and the spatial unit data, a street block-level thermal response unit system is constructed; wherein, the thermal response unit system includes at least one of the following thermal response units: street block unit, road open space unit, slope aspect unit, valley unit, and key node unit; Based on the time-series data of the high-temperature events, the heating process, heat accumulation process, heat dissipation process, and recovery process of each thermal response unit in the extreme high-temperature event are identified, so as to calculate the thermal toughness index of the thermal response unit respectively; wherein, the thermal toughness index includes heating rate, heat accumulation amount, maximum heat dissipation efficiency, and recovery time; Based on the thermal toughness index of each thermal response unit and combined with the preset mountain terrain constraints, the thermally weak unit, the key unit for heat accumulation, the heat dissipation hindering unit, and the slow recovery unit in the thermal response unit are identified. The formula for calculating the heating rate is: The formula for calculating the amount of heat accumulation is: The formula for calculating the maximum heat dissipation efficiency is: The formula for calculating the recovery time is: in, Indicates thermal response unit Maximum heating rate, Indicates thermal response unit At any moment Temperature response, Indicates thermal response unit During high-temperature events The amount of heat accumulation, This is the high-temperature reference temperature. Indicates thermal response unit Maximum heat dissipation rate The peak of the event, The end time of the recovery phase. Indicates thermal response unit The time required to recover from the peak state to near the baseline state To restore the judgment tolerance; Based on the thermal toughness index of each thermal response unit and combined with the preset mountain terrain constraints, the thermally weak units, key units for heat accumulation, heat dissipation hindering units, and slow recovery units among the thermal response units are identified, including: Based on the preset mountainous terrain constraints, a benchmark threshold corresponding to each of the aforementioned thermal toughness indices is determined; wherein, the benchmark threshold includes a heating rate threshold, a heat accumulation threshold, a heat dissipation efficiency threshold, and a recovery time threshold; When the heating rate is greater than or equal to the heating rate threshold, the heat accumulation is greater than or equal to the heat accumulation threshold, the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, and the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a thermally weak unit. When the amount of heat accumulation is greater than or equal to the threshold value of heat accumulation, the thermal response unit is determined to be a key unit for heat accumulation. When the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, the thermal response unit is determined to be a heat dissipation blocking unit. When the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a slow recovery unit.

2. The method for identifying the thermal resilience of mountainous cities as described in claim 1, characterized in that, The method further includes: All the thermally weak units, the key units for heat accumulation, the units that hinder heat dissipation, and the units that recover slowly are selected as candidate intervention points; Calculate the total recovery gain or unit cost recovery gain for each candidate intervention point after intervention; Sort all the candidate intervention points from high to low according to the total recovery gain or the unit cost recovery gain, and determine the intervention priority order of each candidate intervention point.

3. The method for identifying the thermal resilience of mountainous cities as described in claim 1, characterized in that, The mountainous terrain constraints are determined based on at least one of the following factors: elevation difference, slope aspect, valley / plateau / slope space, building shading differences, mountain heat storage, wind resistance effect, and three-dimensional road and open space structure of the target mountain city.

4. The method for identifying the thermal resilience of mountainous cities as described in claim 2, characterized in that, The formula for calculating the recovery gain is: The formula for calculating the unit cost recovery gain is as follows: in, Indicates the candidate intervention point The total recovery gain in thermal toughness after intervention This indicates the size of the set of thermally resistant weak units before intervention. This indicates the size of the set of thermally resistant weak units after intervention; For governance costs.

5. A thermal resilience identification device for mountainous cities, characterized in that, include: The data acquisition module is used to acquire time-series data of high-temperature events, mountain terrain data, street morphology data, and spatial unit data of the target area in the target mountain city. The unit construction module is used to construct a street-level thermal response unit system based on the mountain terrain data, the street morphology data, and the spatial unit data; wherein, the thermal response unit system includes at least one of the following thermal response units: street unit, road open space unit, slope unit, valley unit, and key node unit; The index calculation module is used to identify the heating process, heat accumulation process, heat dissipation process and recovery process of each thermal response unit in an extreme high temperature event based on the high temperature event time series data, so as to calculate the thermal toughness index of the thermal response unit respectively; wherein, the thermal toughness index includes heating rate, heat accumulation amount, maximum heat dissipation efficiency and recovery time; The thermal toughness identification module is used to identify the thermally weak unit, the key unit for heat accumulation, the heat dissipation hindering unit, and the slow recovery unit in the thermal response unit based on the thermal toughness index of each thermal response unit and in combination with the preset mountain terrain constraint. The formula for calculating the heating rate is: The formula for calculating the amount of heat accumulation is: The formula for calculating the maximum heat dissipation efficiency is: The formula for calculating the recovery time is: in, Indicates thermal response unit Maximum heating rate, Indicates thermal response unit At any moment Temperature response, Indicates thermal response unit During high-temperature events The amount of heat accumulation, This is the high-temperature reference temperature. Indicates thermal response unit Maximum heat dissipation rate The peak of the event, The end time of the recovery phase. Indicates thermal response unit The time required to recover from the peak state to near the baseline state To restore the judgment tolerance; The thermal toughness identification module is specifically used for: Based on the preset mountainous terrain constraints, a benchmark threshold corresponding to each of the aforementioned thermal toughness indices is determined; wherein, the benchmark threshold includes a heating rate threshold, a heat accumulation threshold, a heat dissipation efficiency threshold, and a recovery time threshold; When the heating rate is greater than or equal to the heating rate threshold, the heat accumulation is greater than or equal to the heat accumulation threshold, the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, and the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a thermally weak unit. When the amount of heat accumulation is greater than or equal to the threshold value of heat accumulation, the thermal response unit is determined to be a key unit for heat accumulation. When the maximum heat dissipation efficiency is less than or equal to the heat dissipation efficiency threshold, the thermal response unit is determined to be a heat dissipation blocking unit. When the recovery time is greater than or equal to the recovery time threshold, the thermal response unit is determined to be a slow recovery unit.

6. A thermal resilience identification device for mountainous cities, characterized in that, The system 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 thermal resilience identification method for mountainous cities as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the thermal resilience identification method for mountainous cities as described in any one of claims 1 to 4.

8. A computer program product, characterized in that, The computer program product includes a computer program or computer instructions, which, when executed by a processor, implement the thermal resilience identification method for mountainous cities as described in any one of claims 1 to 4.

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