Three-dimensional space operation service grade evaluation method based on dynamic thermodynamic mapping

Abstract

The embodiment of the invention discloses a three-dimensional space operation service grade evaluation method based on dynamic thermodynamic mapping. The three-dimensional space operation service grade evaluation method comprises the steps of obtaining a three-dimensional space model to be evaluated; dynamically receiving activity types, space obstacles and management and control parameters configured by the user; according to configuration content, performing dynamic people flow evacuation simulation in the three-dimensional space model; according to a dynamic simulation result, generating a dynamic three-dimensional people flow density thermodynamic diagram; and according to the three-dimensional people flow density thermodynamic diagram, evaluating the operation service level of the three-dimensional space in real time. According to the embodiment of the invention, dynamic three-dimensional space operation service grade evaluation can be realized.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of operation management and control technology, and in particular to a three-dimensional space operation service level evaluation method based on dynamic thermal mapping. Background Art

[0002] Three-dimensional space operation service level assessment refers to the quantitative evaluation of the operation quality, efficiency, safety and user experience of three-dimensional spaces (such as convention and exhibition centers, sports venues, etc.), providing a decision-making basis for improving operational status (such as space utilization, equipment operating efficiency, energy consumption, etc.) and optimizing resource allocation.

[0003] Crowd evacuation is an important part of three-dimensional space operation and management. However, current crowd evacuation simulation methods mainly rely on empirical formulas or simple two-dimensional plane diagrams, with limited simulation effects, and have not been applied to the operational service level evaluation of three-dimensional space. Summary of the Invention

[0004] An embodiment of the present invention provides a three-dimensional space operation service level evaluation method based on dynamic thermal mapping to solve the above technical problems.

[0005] In a first aspect, an embodiment of the present invention provides a method for evaluating a three-dimensional space operation service level based on dynamic thermal mapping, comprising:

[0006] Obtaining a three-dimensional space model to be evaluated;

[0007] Dynamically receive user-configured activity types, spatial obstacles, and control parameters;

[0008] According to the configuration content, a dynamic crowd evacuation simulation is performed in the three-dimensional space model;

[0009] Generate dynamic three-dimensional crowd density heat map based on dynamic simulation results;

[0010] The operational service level of the three-dimensional space is evaluated in real time based on the three-dimensional crowd density heat map.

[0011] In a second aspect, an embodiment of the present invention provides a three-dimensional space operation service level evaluation system based on dynamic thermal mapping, comprising:

[0012] Model import layer, used to obtain the three-dimensional space model to be evaluated;

[0013] The policy configuration layer is used to dynamically receive user-configured activity types, spatial obstacles, and control parameters;

[0014] A simulation calculation layer, configured to perform dynamic crowd evacuation simulation within the three-dimensional space model according to configuration content, and generate a dynamic three-dimensional crowd density heat map based on the dynamic simulation results;

[0015] The evaluation output layer is used to evaluate the three-dimensional space operation service level in real time based on the three-dimensional crowd density heat map.

[0016] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising:

[0017] one or more processors;

[0018] a memory for storing one or more programs,

[0019] When the one or more programs are executed by the one or more processors, the one or more processors implement the three-dimensional space operation service level evaluation method based on dynamic thermal mapping described in any embodiment.

[0020] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the three-dimensional space operation service level evaluation method based on dynamic thermal mapping described in any embodiment.

[0021] In summary, the present invention provides a method for evaluating the service level of three-dimensional space operations based on dynamic thermal mapping. By simulating human evacuation behavior and generating a density map of evacuated human flows, this method enables scientific and efficient evaluation of the service level of space operations. This method can achieve the following beneficial effects:

[0022] 1. Provides dynamic display capabilities that can simulate changes in evacuation routes and crowd density in real time. Through a dynamic policy injection mechanism, it supports real-time modification of control parameters (such as opening / closing exits) during simulation operation, and immediately observes the effects of policy adjustments.

[0023] 2. Ability to generate evacuation crowd density maps, intuitively reflecting high-density areas during the evacuation process; through the space-time cube thermal field, accurate spatiotemporal distribution records of crowd density in three-dimensional space are achieved;

[0024] 3. Evaluate the service level based on the density map. By discretizing the continuous pedestrian density into multiple service levels, the evacuation efficiency and service quality can be intuitively quantified, providing a scientific basis for optimizing the evacuation plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is an architecture diagram of a three-dimensional space operation service level evaluation system based on dynamic thermal mapping provided by an embodiment of the present invention;

[0027] Figure 2 This is a flow chart of a three-dimensional space operation service level evaluation method based on dynamic thermal mapping provided by an embodiment of the present invention;

[0028] Figure 3 This is a flowchart of another three-dimensional space operation service level evaluation method based on dynamic thermal mapping provided by an embodiment of the present invention;

[0029] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention are described clearly and completely below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are also within the scope of protection of the present invention.

[0031] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0032] In the description of the present invention, it should also be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0033] The embodiment of the present invention provides a three-dimensional space operation service level evaluation method based on dynamic thermal mapping. In order to illustrate the method, a three-dimensional space operation service level evaluation system based on dynamic thermal mapping that supports the implementation of the method is first described. Figure 1As shown, the system includes a model import layer (not shown in the figure), a strategy configuration layer, a simulation calculation layer and an evaluation output layer.

[0034] The user imports the three-dimensional space model to be evaluated in the model import layer, and selects the activity type, edits the three-dimensional space, and inputs the control parameters in the strategy configuration layer.

[0035] The simulation calculation layer uses the dynamic behavior tree engine, path planning algorithm, and thermal field generator to perform simulation calculations based on the input from the strategy configuration layer.

[0036] The evaluation output layer uses a three-dimensional heat map rendering module, a service level mapping model, and a strategy optimization recommendation generator to evaluate and output the results of the simulation calculation.

[0037] Based on the above system, Figure 2 This is a flow chart of a three-dimensional space operation service level evaluation method based on dynamic thermal mapping provided by an embodiment of the present invention. This method can be executed by the various parts of the above system in conjunction with each other, or by other electronic devices. Figure 2 As shown, the method specifically includes:

[0038] S110: Obtain a three-dimensional space model to be evaluated.

[0039] This step completes the scene initialization, primarily importing a BIM model of the 3D space to be evaluated (e.g., a multi-story commercial park) as the target for crowd flow simulation and service level evaluation. Optionally, you can also set activity parameters (e.g., a maximum of 5,000 participants).

[0040] S120: Dynamically receive the activity type, spatial obstacles, and control parameters configured by the user.

[0041] Combine Figure 1 Through the event type selector, users can select different event types based on the actual scenario, such as concerts, exhibitions, or sports events. Different event types may affect the parameters and behaviors of subsequent simulation calculations, such as the distribution pattern and flow patterns of personnel.

[0042] The 3D Space Editor allows users to edit the 3D space of the event venue and supports setting temporary obstacles. These obstacles will affect the movement paths of people and the accessibility of the space, and need to be considered in subsequent simulation calculations.

[0043] The control parameter input panel allows users to enter control-related parameters, such as the status of an entrance or exit (open or closed) and the speed of an escalator. These parameters directly affect the flow and evacuation of personnel. For example, configurations can include closing Entrance 3 and reducing the escalator speed to 0.5 m / s.

[0044] It is worth mentioning that the above configuration supports dynamic changes at any time. When any configuration item changes, the subsequent steps will execute the relevant processes in real time according to the latest configuration.

[0045] S130: Perform dynamic crowd evacuation simulation in the three-dimensional space model according to the configuration content.

[0046] Specifically, in the crowd flow simulation, each person is treated as an agent. The dynamic behavior tree engine, based on a finite state machine (FSM) state transition model, simulates the dynamic behavior of each agent. People can transition between different states, such as walking, staying, and evacuating, making decisions based on their surroundings and their own state.

[0047] Optionally, this state machine uses a hierarchical finite state machine (HFSM) to construct pedestrian behavior logic. It includes three basic states: normal movement (based on RVO2 path planning), congestion waiting (triggering path replanning), and emergency avoidance (dynamically adjusted by the control policy). It supports event triggers: real-time response to control parameters in the policy configuration layer (such as entrance and exit status changes and escalator outages), and dynamic injection of behavior logic through JSON configuration files. The priority rule is: emergency avoidance has the highest priority and overrides the basic movement logic.

[0048] Based on this state machine, combined with Figure 1 , the above crowd evacuation simulation may include the following steps:

[0049] Step 1: Using a dynamic behavior tree engine, determine the behavior of each agent based on the activity type and control parameters, including switching between normal movement, congestion waiting, or emergency avoidance. The emergency avoidance state is triggered by the control parameters. When the control parameters trigger a dangerous condition, the agent affected by the dangerous condition is switched to the emergency avoidance state.

[0050] Step 2: Assign different behavior logics to agents in different states. Specifically, this can include the following three situations:

[0051] Case 1: For an intelligent agent in a normal moving state, the RVO2 path planning algorithm is used to calculate a collision-free path for the intelligent agent based on the three-dimensional space and spatial obstacles. This method uses an improved RVO2 (Reciprocal Velocity Obstacles 2) collision avoidance algorithm to plan a collision-free moving path for personnel, and avoids collisions between personnel during movement by considering the interactions between personnel. The improvements of this embodiment to this method are: (1) Support for dynamic obstacles: Based on the traditional RVO2 algorithm, the coordinates of temporary obstacles input by the policy configuration layer (such as closed entrances and exits, newly added isolation belts) are introduced to update the collision avoidance logic in real time; (2) Support for dynamic adjustment of the velocity field: According to the control parameters (such as the escalator slowing down to 0.5m / s), the maximum moving speed of the intelligent agent is dynamically corrected to simulate the real control effect; (3) Support for multi-threaded parallel computing: Supports a throughput of 2000 agents / second to ensure real-time simulation of large-scale scenarios (such as 5000 people).

[0052] Case 2: For an agent in a congested waiting state, path replanning is triggered to recalculate the collision-free path of the agent.

[0053] Case 3: For the intelligent agent in an emergency avoidance state, the behavior logic is dynamically injected through the configuration file, and the dynamically injected behavior logic overwrites the path planning result.

[0054] Step 3: Based on the collision-free path of each agent at each time step or the dynamically injected behavior logic, the state matrix composed of each agent is dynamically updated as the dynamic simulation result of crowd evacuation.

[0055] Furthermore, the entire state tree utilizes dynamic compilation technology, using JIT (Just-in-Time) to update behavior tree logic, resulting in a response time of <500ms. Compared to conventional static state machines, this embodiment achieves real-time updates of behavior logic through dynamic injection of control parameters and JIT compilation, significantly improving the adaptability of simulation scenarios (for example, enabling faster response to temporary exit closures).

[0056] S140: Generate a dynamic three-dimensional crowd density heat map based on the dynamic simulation results.

[0057] Combine Figure 1 In this step, the thermal field generator in the simulation computing layer uses a space-time cube density statistics algorithm to calculate the density distribution of people in different time and space, generating a dynamic three-dimensional thermal field. The thermal field can intuitively display the gathering of people.

[0058] Optionally, the space-time cube thermal field of this embodiment adopts a four-dimensional index structure. First, the three-dimensional space is divided into voxels to obtain a voxel index. For example, the three-dimensional space can be discretized into 1m×1m×0.5m voxels; then, according to the set time interval, the number of agents in each voxel in each time step is recorded to obtain a timestamp index and an agent count index. For example, the number of agents in each voxel is recorded at intervals of 5 seconds; finally, based on the recording results, the crowd density gradient of each voxel is calculated to obtain the crowd density gradient value, thereby obtaining a three-dimensional space thermal field.

[0059] The 3D heat map rendering module then dynamically renders a 3D crowd density heat map at each time step based on the dynamic 3D spatial thermal field. Optionally, WebGL and Three.js can be used to render the thermal field data into a 3D heat map, allowing users to intuitively view the density distribution of people through a browser.

[0060] S150: Evaluate the three-dimensional space operation service level in real time based on the three-dimensional crowd density heat map.

[0061] The dynamic heat map of crowd density in this embodiment divides each grid in the three-dimensional space into different service levels, and different service levels correspond to different personnel experiences and safety risks. Optionally, the crowd density range of the three-dimensional crowd density heat map can be divided into multiple different intervals; the voxels with crowd density in each interval are mapped to different operational service levels and displayed in different colors; different response measures are matched according to the operational service level of each voxel, where the response measures include normal operation, monitoring and attention, activating voice prompts, dispatching additional guides, opening alternative exits, and implementing emergency evacuation plans.

[0062] For example, combined Figure 1 ,The 6-level classification decision tree is adopted in the service level mapping model. ,Based on the results of simulation calculation, the service level of the ,activity venue is divided into 6 levels, as shown in the following table:

[0063] Service Level <![CDATA[Population density (p / m 2 )]]> Thermal color value Countermeasures A 0-0.5 Dark blue (#0000FF) Normal operations B 0.5-1.2 Light blue (#00BFFF) Monitoring attention C 1.2-2.0 Green (#00FF00) Start voice prompts D 2.0-3.0 Yellow (#FFFF00) Additional guides E 3.0-4.0 Orange (#FF8000) Open an alternative exit F >4.0 Red (#FF0000) Implement emergency evacuation plans

[0064] Based on the above mapping model, the results can be visualized to generate heat maps and service level map animations. The time axis in the animation can be dragged so that users can view the distribution at any time point. At the same time, the evaluation report can be output, marking the coordinates and duration of areas at level D and above.

[0065] Finally, combine Figure 1The strategy optimization suggestion generator uses an association rule mining algorithm to analyze simulation results and generate strategy optimization recommendations. For example, if a significant crowd is observed near a particular entrance or exit, it can recommend adjusting the entrance or exit status or adding guides. Furthermore, the recommendations generated by the strategy optimization suggestion generator are fed back to the strategy configuration layer, forming a closed loop of "simulation-evaluation-optimization."

[0066] The above process can also be combined with Figure 3 Each link in the diagram achieves data synchronization between multiple threads through a shared memory pool, ensuring real-time consistency in dynamic behavior trees, path planning, and thermal field generation.

[0067] It should be noted that the user data involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0068] In summary, this embodiment provides a three-dimensional space operation service level assessment method based on dynamic thermal mapping. By simulating human evacuation behavior and generating an evacuation density map, this method can achieve a scientific and efficient space operation service level assessment. This method can achieve the following beneficial effects:

[0069] 1. Provides dynamic display capabilities, enabling real-time simulation of changes in evacuation routes and crowd density. Through a dynamic policy injection mechanism, control parameters (such as opening / closing exits) can be modified in real time during simulation, and the effects of policy adjustments can be immediately observed. Furthermore, JIT compilation accelerates behavioral logic updates, reducing policy change response time to <500ms.

[0070] 2. Ability to generate evacuation crowd density maps, intuitively reflecting high-density areas during the evacuation process; through the space-time cube thermal field, accurate spatiotemporal distribution records of crowd density in three-dimensional space are achieved (storage efficiency increased by 70%);

[0071] 3. Evaluate service levels based on density maps. By discretizing continuous crowd density into six service levels and establishing color value-measure correspondence rules, evacuation efficiency and service quality can be intuitively quantified, providing a scientific basis for optimizing evacuation plans.

[0072] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the device includes a processor 60, a memory 61, an input device 62 and an output device 63; the number of processors 60 in the device can be one or more. Figure 4In the embodiment, a processor 60 is used as an example; the processor 60, the memory 61, the input device 62 and the output device 63 in the device can be connected by a bus or other means. Figure 4 The bus connection is taken as an example.

[0073] Memory 61, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the three-dimensional space operation service level assessment method based on dynamic thermal mapping in the embodiments of the present invention. Processor 60 executes the software programs, instructions, and modules stored in memory 61 to execute various functional applications and data processing of the device, thereby implementing the three-dimensional space operation service level assessment method based on dynamic thermal mapping.

[0074] The memory 61 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal. Furthermore, the memory 61 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state memory device. In some instances, the memory 61 may further include memory remotely located relative to the processor 60, and these remote memories may be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0075] The input device 62 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 63 may include a display device such as a display screen.

[0076] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the three-dimensional space operation service level evaluation method based on dynamic thermal mapping of any embodiment.

[0077] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or components, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by an instruction execution system, device or device or used in combination with it.

[0078] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0079] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0080] Computer program code for performing the operations of the present invention can be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as C or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A three-dimensional space operation service level evaluation method based on dynamic thermal mapping, characterized in that: include: Obtaining a three-dimensional space model to be evaluated; Dynamically receive user-configured activity types, spatial obstacles, and control parameters; According to the configuration content, a dynamic crowd evacuation simulation is performed in the three-dimensional space model; Generate dynamic three-dimensional crowd density heat map based on dynamic simulation results; The operational service level of the three-dimensional space is evaluated in real time based on the three-dimensional crowd density heat map.

2. The method according to claim 1, characterized in that Event types include concerts, trade shows, or sporting events; Spatial obstacles include temporary obstacles that match the type of activity; Control parameters include the opening status of entrances and exits, and / or escalator speed.

3. The method according to claim 1, characterized in that The dynamic crowd evacuation simulation is performed in the three-dimensional space model according to the configuration content, including: Treat each person in the crowd as an intelligent agent; Using a dynamic behavior tree engine, the state of each agent at each time step is determined based on the activity type and control parameters, including normal movement state, congestion waiting state, or emergency avoidance state; For an intelligent agent in a normal moving state, using the RVO2 path planning algorithm, a collision-free path of the intelligent agent is calculated according to the three-dimensional space model and spatial obstacles; For an agent in a congested waiting state, triggering path replanning and recalculating a collision-free path for the agent; For intelligent agents in emergency avoidance states, behavioral logic is dynamically injected through configuration files, overwriting the path planning results. According to the collision-free path of each agent at each time step or the dynamically injected behavior logic, the state matrix composed of each agent is dynamically updated as the dynamic simulation result of crowd evacuation.

4. The method according to claim 3, characterized in that The dynamic behavior tree engine is used to determine the state of each agent at each time step according to the activity type and control parameters, including: In response to a dangerous event triggered by a control parameter, the intelligent agent affected by the dangerous event is switched to an emergency avoidance state.

5. The method according to claim 3, characterized in that The RVO2 path planning algorithm is used to calculate a collision-free path for the intelligent agent according to the three-dimensional space and spatial obstacles, including: In response to user-configured temporary obstacles, the spatial obstacle coordinates are updated in real time; Dynamically modifying the maximum movement speed of the agent in response to user-configured control parameters; The planned path is updated in real time based on the new spatial obstacle coordinates and the corrected maximum moving speed.

6. The method according to claim 1, characterized in that Generating a dynamic three-dimensional crowd density heat map based on the dynamic simulation results includes: Performing voxel division on the three-dimensional space; According to the set time interval, the number of agents in each voxel in each time step is recorded; According to the recorded results, calculate the crowd density of each voxel at each time step; According to the crowd density of each voxel at each time step, a three-dimensional crowd density heat map of each time step is rendered.

7. The method according to claim 1, characterized in that The real-time evaluation of the operational service level of the three-dimensional space based on the three-dimensional crowd density heat map includes: Dividing the crowd density range of the three-dimensional crowd density heat map into a plurality of different intervals; The voxels with pedestrian density in each interval are mapped to different operational service levels and displayed in different colors; Different response measures are matched according to the operational service level of each voxel, including normal operation, monitoring and attention, activating voice prompts, adding guidance personnel, opening alternative exits and implementing emergency evacuation plans.

8. A three-dimensional space operation service level evaluation system based on dynamic thermal mapping, characterized in that: include: Model import layer, used to obtain the three-dimensional space model to be evaluated; The policy configuration layer is used to dynamically receive user-configured activity types, spatial obstacles, and control parameters; A simulation calculation layer, configured to perform dynamic crowd evacuation simulation within the three-dimensional space model according to configuration content, and generate a dynamic three-dimensional crowd density heat map based on the dynamic simulation results; The evaluation output layer is used to evaluate the three-dimensional space operation service level in real time based on the three-dimensional crowd density heat map.

9. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the three-dimensional space operation service level evaluation method based on dynamic thermal mapping as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, which, when executed by a processor, implements the three-dimensional space operation service level evaluation method based on dynamic thermal mapping as described in any one of claims 1-7.

Images