Indoor soft package construction structure and spatial layout method

Abstract

The invention discloses an indoor soft package construction structure and a spatial layout method. The indoor soft package construction structure comprises a wall body, a top plate, a wall side keel, an aluminum-plastic plate, a buffer plate, a sound absorption assembly, a camera device, a movable assembly, a suspended ceiling sound absorption layer and a plurality of wireless signal transmitters. And the buffer plate is adhered to the aluminum-plastic plate. The sound absorption assembly is arranged on the side, close to the top plate, of the top of the wall. The camera device is located in the indoor space and connected to the wall or the top plate. The movable assembly comprises a plurality of movable bodies, all the movable bodies are movably arranged in the indoor space, and the movable assembly comprises one or more of a partition wall, an automatic telescopic rest area and a guide mark. The wireless signal transmitters are arranged on a wall side keel and / or a movable body, and the wireless signal transmitters are used for transmitting position information. According to the indoor soft package construction structure provided by the embodiment of the invention, the buffer plates are arranged on the wall body on the peripheral side, the safety is improved, the ceiling sound absorption layer is arranged on the top plate, and the sound insulation and sealing effects are improved.

Description

Technical Field

[0001] This invention relates to the field of building construction technology, specifically to an interior soft-pack construction structure and spatial layout method. Background Technology

[0002] Soft padding refers to a wall decoration structure where flexible materials are used to cover the interior wall surface. The materials used are soft and can soften the overall atmosphere of the space. Besides beautifying the space, it also provides sound absorption, sound insulation, and impact protection. However, in some related technologies, soft padding is only applied to the walls, and no sound-absorbing structure is designed on the ceiling, resulting in mediocre sound insulation. Other related technologies include partition walls, retractable rest areas, and directional signage within the interior space. These structures are usually fixed and cannot be adjusted, lacking flexibility. Alternatively, while these structural components may be adjustable, there is no data to guide the adjustment.

[0003] In view of this, the present invention is hereby proposed. Summary of the Invention

[0004] To solve one of the above-mentioned technical problems, the present invention provides an indoor soft-pack construction structure and spatial layout method.

[0005] This application provides the following technical solution: In a first aspect, embodiments of this application provide an indoor soft-pack construction structure, including: Walls; A ceiling panel, which is connected to the wall, and the ceiling panel and the wall enclose an interior space; Wall side keel, the wall side keel is connected to the wall; Aluminum composite panel, wherein the aluminum composite panel is connected to the wall side keel by fasteners; A buffer plate, wherein the buffer plate is bonded to the aluminum composite panel; A sound-absorbing component is disposed on the top of the wall near the top plate; A camera device, wherein the camera device is located in the indoor space and is connected to the wall or ceiling; The activity component includes multiple movable bodies, each of which is movably disposed in the indoor space. The activity component includes one or more of the following: a partition wall, an automatically retractable rest area, and directional signs. Multiple wireless signal transmitters are provided, each of which is mounted on the wall-side keel and / or movable body, and the wireless signal transmitters are used to transmit location information. A ceiling sound-absorbing layer is disposed on the ceiling plate.

[0006] Preferably, the sound-absorbing component includes rock wool, a support plate, and a sound-absorbing panel; The wall side keel forms multiple recessed spaces; The rock wool is filled into the recessed space; The support plate is attached to the keel, the sound-absorbing plate covers the support plate, and the sound-absorbing plate has a sound-absorbing cavity inside.

[0007] Preferably, the camera device includes a bracket and a camera; The bracket is inserted through the support plate and the sound-absorbing plate and connected to the wall side keel. The camera is located in the indoor space and connected to the bracket.

[0008] Preferably, the ceiling sound-absorbing layer includes a ceiling keel, a gypsum board assembly, and a centrifugal glass wool layer; The top slab keel is connected to the top slab, the gypsum board assembly is connected to the top keel, the gypsum board assembly has a sandwich layer, and the centrifugal glass wool layer is disposed within the sandwich layer.

[0009] Preferably, the top plate keel includes a main keel, a first keel, and a second keel; The main keel, the first keel, and the second keel are arranged in descending order of height; The main keel is connected to the top plate, the first keel is connected to the main keel through keel connectors, and the second keel is connected to the first keel through fasteners; The gypsum board assembly includes a first gypsum board and a second gypsum board. The first gypsum board is connected to the first keel, and the second gypsum board is connected to the second keel. The sandwich layer is formed between the first gypsum board and the second gypsum board. The first gypsum board is a double-layered paper-faced gypsum board with a sound-insulating cavity inside.

[0010] Secondly, embodiments of this application provide a spatial layout method for indoor soft-pack construction structures, including: Step S1: By deploying a wireless signal transmitter in the indoor space and using wireless signal positioning technology, the location coordinate data of an individual is obtained in real time. Based on the changes in the location coordinate data, the individual's movement trajectory and speed are determined, and the individual's movement trajectory information in the indoor space is obtained. Step S2: By installing a camera device in the indoor space and using image recognition technology, the images collected by the camera device are processed to identify individual targets in the images. The position coordinates of the individual targets are determined by the target detection algorithm. Combined with the individual movement trajectory information obtained in the previous step, the dwell time of the individual in a specific area is calculated to obtain the dwell time data of the individual in different areas of the indoor space. Step S3: Summarize the individual movement trajectory information and dwell time data obtained in the first two steps, use big data analysis algorithms to perform cluster analysis on the data, identify the high-frequency activity paths of multiple individuals, and the areas where multiple individuals stay for a long time, and obtain high-frequency activity path data and long-term dwell area data. Step S4: Based on high-frequency activity path data and long-term stay area data, a spatial layout optimization algorithm is used to automatically generate a variable indoor spatial layout scheme, including the placement of movable partition walls, the placement and size of automatically retractable rest areas, and the placement and content of dynamically changing directional signs, thus forming variable indoor spatial layout scheme data. Step S5: Send the variable indoor space layout plan data to the layout control system. The system controls the movement of the movable partition wall according to the layout plan, so that it moves to the designated position. At the same time, it controls the extension and retraction of the automatic retractable rest area, so that it unfolds or retracts at the designated position. It also controls the update of the display content of the dynamically changing directional signs, so that the layout of the indoor space changes dynamically to adapt to the real-time flow of people. Step S6: During the dynamic adjustment of the indoor space layout, real-time pedestrian flow data, including individual movement trajectory data and dwell time data, is continuously collected. The real-time data is analyzed to determine the rationality of the current indoor space layout. If the layout is found to be unreasonable, the layout optimization algorithm is triggered to adjust the variable indoor space layout scheme and control the layout control system to execute the adjusted layout scheme to achieve real-time optimization of the indoor space layout. Step S7: In the optimized indoor space, the movement trajectory and dwell time of individuals are continuously tracked through wireless signal positioning and image recognition technology. Optimized pedestrian flow data is collected, and the data before and after optimization are compared to evaluate the optimization effect. If the optimization effect is not ideal, the process returns to step S4 and the layout optimization algorithm is re-executed until the ideal optimization effect is achieved, thus completing the entire indoor space pedestrian flow optimization process.

[0011] Optionally, step S1 includes: Based on the layout and area of ​​the indoor space, determine the number and location of the wireless signal transmitters that need to be deployed in order to achieve signal coverage of the entire indoor space; The wireless signal transmitter continuously emits wireless signals of a specific frequency and intensity, and the signals carry location coordinate information; The wearable device carried by the individual has a built-in wireless signal receiver that receives signals from different transmitters in real time. Based on the signal strength and time difference of arrival, the triangulation algorithm is used to calculate the individual's current location coordinates. Wearable devices continuously upload the individual's location coordinate data to the backend server; The server performs noise reduction and smoothing on the coordinate data to obtain a smooth trajectory of the individual location; The server analyzes the smoothed position coordinate sequence and determines the instantaneous movement speed and acceleration of an individual by calculating the distance change and time difference between adjacent coordinates. Based on the smooth trajectory of individual positions and changes in movement speed, a trajectory clustering algorithm is used to classify the trajectories of different individuals to obtain the main pedestrian movement patterns in the indoor space. Further analysis of the trajectories of major pedestrian movement patterns is conducted to calculate pedestrian flow, speed distribution, and dwell time in different areas, generating a comprehensive analysis report on pedestrian movement trajectories in indoor spaces.

[0012] Optionally, step S2 includes: First, camera devices are installed at key locations in public areas to acquire extensive image data, which will then be transmitted to a central processing unit. Image processing techniques are used to preprocess the collected images, including denoising and enhancement, to improve the accuracy of image recognition; Image recognition algorithms are applied to perform individual identification on the processed images, identifying each individual target in the image; The location coordinates of each target are obtained from the identified individuals using target detection algorithms. This coordinate information is used to track the movement of individuals within the indoor space. By combining location coordinates, an algorithm is applied to generate the individual's movement trajectory. This step is in preparation for subsequent dwell time analysis. Based on the movement trajectory, the time an individual spends in a specific area is calculated. This data will be used to analyze the individual's activity patterns in various areas. Finally, all collected and calculated data are analyzed regionally to obtain individual behavioral patterns and area utilization within the indoor space, providing data support for indoor space planning and management.

[0013] Optionally, step S3 includes: By collecting individual movement trajectory data and dwell time data, data preprocessing techniques are used to clean and integrate this data to ensure data quality and integrity; The K-means clustering algorithm was used to cluster the cleaned data, thereby identifying high-frequency activity paths and long-term residence areas in the multidimensional data. By using the clustering results, principal component analysis is used to reduce data dimensionality, improve the efficiency and clarity of data visualization, and make high-frequency paths and dwell areas more obvious. Based on the results of clustering and PCA analysis, the decision tree algorithm was used to further analyze and verify the statistical significance of high-frequency activity paths and long-stay areas, ensuring that the identified paths and areas are representative and reproducible. To obtain the final high-frequency activity path data and long-term stay area data, providing support for subsequent applications; This involves ensuring that every step from data collection to analysis is closely linked, forming a complete information processing chain.

[0014] Optionally, step S4 includes: Based on the acquired high-frequency activity path data, the main paths and directions of personnel movement in the indoor space are determined, and these are used as important reference factors for the placement of movable partition walls and directional signs. Based on the data of areas where people spend a long time, we can determine the areas in the indoor space where people spend a long time and use them as the key basis for the location and size of the automatic retractable rest area. Using a spatial layout optimization algorithm, which comprehensively considers factors such as high-frequency activity paths, long-term stay areas, and indoor space area, multiple variable indoor spatial layout schemes are automatically generated. For each layout scheme, the specific placement of the movable partition walls is determined, and the position of the partition walls is dynamically adjusted according to changes in the movement path of people to optimize the spatial layout. For each layout scheme, determine the specific location and size of the automatic retractable rest area, and dynamically adjust the size of the rest area according to the changes in the time people stay to meet their rest needs; For each layout scheme, determine the specific placement and content of dynamically changing directional signs, and update the directional sign information in real time according to changes in people's movement paths to guide people to move efficiently. By comprehensively evaluating indicators such as space utilization efficiency, ease of movement of people, and rest comfort of various layout schemes, the optimal scheme is selected from multiple layout schemes to form the final variable indoor space layout scheme data.

[0015] By adopting the above technical solution, this application has the following beneficial effects: The indoor soft-pack construction structure provided in this application embodiment has buffer plates installed on the surrounding walls to improve safety, and a suspended sound-absorbing layer installed on the ceiling to provide good sound insulation and airtightness. Attached Figure Description

[0017] The accompanying drawings, which form part of this application, are provided to further illustrate the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention but do not constitute an undue limitation thereof. Clearly, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0018] Figure 1This figure shows a cross-sectional view of the wall of the interior soft-pack construction structure provided in an embodiment of the present invention; Figure 2 Show Figure 1 Enlarged view of section A in the middle; Figure 3 This diagram illustrates the structure of the ceiling sound-absorbing layer in the indoor soft-pack construction structure provided by an embodiment of the present invention. Figure 4 The diagram illustrates the steps of a spatial layout method for an indoor soft-pack construction structure provided in an embodiment of the present invention.

[0019] In the diagram: 1. Wall; 3. Side keel; 4. Aluminum composite panel; 5. Buffer board; 6. Sound absorption component; 61. Rock wool; 62. Support board; 63. Sound absorption board; 71. Main keel; 72. First keel; 73. Second keel; 74. First gypsum board; 75. Second gypsum board; 76. Centrifugal glass wool layer; 77. Keel connector; 78. Fastener; 8. First U-shaped edge keel; 9. Second U-shaped edge keel. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0021] In the description of this invention, it should be noted that the terms "upper", "lower", "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 invention 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 invention.

[0022] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation" and "connection" 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. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0023] Example 1 like Figures 1 to 3As shown in the illustration, this application provides an indoor soft-pack construction structure, including: a wall 1, a ceiling panel, wall side joists 3, an aluminum composite panel 4, a buffer board 5, a sound-absorbing component 6, a camera device, movable components, a ceiling sound-absorbing layer, and multiple wireless signal transmitters. The ceiling panel is connected to the wall 1, and the ceiling panel and wall 1 enclose an indoor space. The wall side joists 3 are connected to the wall 1. The aluminum composite panel 4 is connected to the wall side joists 3 by fasteners. The buffer board 5 is bonded to the aluminum composite panel 4. The aluminum composite panel 4 can be connected to the wall side joists 3 by self-tapping screws. The aluminum composite panel 4 is a rigid board, while the buffer board 5 is a flexible structure with a thickness greater than that of the aluminum composite panel 4. The aluminum composite panel 4 provides a base layer structure, facilitating the bonding of the buffer board 5 to the aluminum composite panel 4.

[0024] Sound-absorbing component 6 is disposed on the top of the wall 1 near the ceiling. Its high placement on the wall 1 facilitates sound absorption and noise reduction, improves indoor privacy, and prevents eavesdropping. A camera device is located in the indoor space and connected to the wall 1 or ceiling. The camera device can capture video images of individuals within the space. Movable components include multiple movable bodies, each movably disposed within the indoor space. These movable components include one or more of a partition wall, an automatically retractable rest area, and directional signage. The automatically retractable rest area may include structures such as retractable sofas and retractable tents. Wireless signal transmitters are disposed on the wall side joists 3 and / or the movable bodies, and are used to transmit location information. A ceiling sound-absorbing layer is disposed on the ceiling. This layer effectively absorbs sound waves, reduces echo and reverberation time, and improves speech clarity, especially in meeting rooms and classrooms, and also prevents eavesdropping.

[0025] The indoor soft-pack construction structure provided in this application embodiment features a buffer plate 5 on the surrounding walls 1, improving safety, and a suspended sound-absorbing layer on the ceiling, providing good sound insulation and airtightness. The movable components in this application can be movably installed within the indoor space, and their position and orientation can be adjusted as needed to optimize the best spatial layout.

[0026] In some possible implementations, the sound-absorbing component 6 includes rock wool 61, a support plate 62, and a sound-absorbing panel 63. The wall-side joists 3 form multiple recessed spaces, and the wall-side joists 3 include horizontal beams and longitudinal beams, which are staggered to form the recessed spaces. Rock wool 61 fills the recessed spaces, the support plate 62 is attached to the joists, and the sound-absorbing panel 63 covers the support plate 62. The sound-absorbing panel 63 has a sound-absorbing cavity within it.

[0027] In some possible implementations, the camera device includes a bracket and a camera, the bracket being inserted through the support plate 62 and the sound-absorbing plate 63 and connected to the wall-side keel 3, and the camera being located in the indoor space and connected to the bracket.

[0028] In some possible implementations, the ceiling sound-absorbing layer includes a ceiling joist, gypsum board assemblies, and a centrifugal glass wool layer 76. The ceiling joist is connected to the ceiling, and the gypsum board assemblies are connected to the ceiling joist. The gypsum board assemblies have a sandwich structure, and the centrifugal glass wool layer 76 is disposed within the sandwich structure. The sandwich structure between the gypsum board assemblies allows air molecules within the sandwich structure to vibrate under the influence of sound waves, consuming sound wave energy through air damping and attenuating sound intensity. The centrifugal glass wool layer 76 is further disposed within the cavity. Centrifugal glass wool is a porous sound-absorbing material, composed of interwoven fibers forming tiny pores. It converts sound energy into heat energy through air friction. Its sound absorption performance is affected by thickness, density, and structure, and its noise reduction coefficient (NRC) can reach up to 0.90.

[0029] In some possible implementations, the roof joists include a main joist 71, a first joist 72, and a second joist 73, arranged sequentially from high to low. The main joist 71 is connected to the roof slab, the first joist 72 is connected to the main joist 71 via a joist connector 77, and the second joist 73 is connected to the first joist 72 via a fastener 78. The fastener 78 can be a self-tapping screw. The gypsum board assembly includes a first gypsum board 74 and a second gypsum board 75. The first gypsum board 74 is connected to the first joist 72, and the second gypsum board 75 is connected to the second joist 73, forming a sandwich layer between the first gypsum board 74 and the second gypsum board 75. The first gypsum board 74 can be a double-layered paper-faced gypsum board with an internal sound-insulating cavity, providing good sound insulation. The first U-shaped edge keel 8 can be fixed to the wall 1 with fasteners, and the main keel 71 can be directly supported by the first U-shaped edge keel 8. The first gypsum board 74 can be connected to the first U-shaped edge keel 8. The second U-shaped edge keel 9 can also be fixed to the wall 1 with fasteners, and the edge of the second gypsum board 75 can be connected to the second U-shaped edge keel 9.

[0030] Example 2 like Figure 4 As shown, this embodiment provides a spatial layout method for the indoor soft-pack construction structure in Embodiment 1 above, including: Step S1: By deploying a wireless signal transmitter in the indoor space and using wireless signal positioning technology, the location coordinate data of an individual is obtained in real time. Based on the changes in the location coordinate data, the individual's movement trajectory and speed are determined, and the individual's movement trajectory information in the indoor space is obtained. Step S2: By installing a camera device in the indoor space and using image recognition technology, the images collected by the camera device are processed to identify individual targets in the images. The position coordinates of the individual targets are determined by the target detection algorithm. Combined with the individual movement trajectory information obtained in the previous step, the dwell time of the individual in a specific area is calculated to obtain the dwell time data of the individual in different areas of the indoor space. Step S3: Summarize the individual movement trajectory information and dwell time data obtained in the first two steps, use big data analysis algorithms to perform cluster analysis on the data, identify the high-frequency activity paths of multiple individuals, and the areas where multiple individuals stay for a long time, and obtain high-frequency activity path data and long-term dwell area data. Step S4: Based on high-frequency activity path data and long-term stay area data, a spatial layout optimization algorithm is used to automatically generate a variable indoor spatial layout scheme, including the placement of movable partition walls, the placement and size of automatically retractable rest areas, and the placement and content of dynamically changing directional signs, thus forming variable indoor spatial layout scheme data. Step S5: Send the variable indoor space layout plan data to the layout control system. The system controls the movement of the movable partition wall according to the layout plan, so that it moves to the designated position. At the same time, it controls the extension and retraction of the automatic retractable rest area, so that it unfolds or retracts at the designated position. It also controls the update of the display content of the dynamically changing directional signs, so that the layout of the indoor space changes dynamically to adapt to the real-time flow of people. Step S6: During the dynamic adjustment of the indoor space layout, real-time pedestrian flow data, including individual movement trajectory data and dwell time data, is continuously collected. The real-time data is analyzed to determine the rationality of the current indoor space layout. If the layout is found to be unreasonable, the layout optimization algorithm is triggered to adjust the variable indoor space layout scheme and control the layout control system to execute the adjusted layout scheme to achieve real-time optimization of the indoor space layout. In step S6, if the layout is found to be unreasonable, such as crowded passage areas or empty rest areas, the layout optimization algorithm is triggered to adjust the layout scheme of the variable public space.

[0031] Step S7: In the optimized indoor space, the movement trajectory and dwell time of individuals are continuously tracked through wireless signal positioning and image recognition technology. Optimized pedestrian flow data is collected, and the data before and after optimization are compared to evaluate the optimization effect. If the optimization effect is not ideal, the process returns to step S4 and the layout optimization algorithm is re-executed until the ideal optimization effect is achieved, thus completing the entire indoor space pedestrian flow optimization process.

[0032] Optionally, step S1 includes: Based on the layout and area of ​​the indoor space, determine the number and location of the wireless signal transmitters that need to be deployed in order to achieve signal coverage of the entire indoor space; The wireless signal transmitter continuously emits wireless signals of a specific frequency and intensity, and the signals carry location coordinate information; The wearable device carried by the individual has a built-in wireless signal receiver that receives signals from different transmitters in real time. Based on the signal strength and time difference of arrival, the triangulation algorithm is used to calculate the individual's current location coordinates. Wearable devices continuously upload the individual's location coordinate data to the backend server; The server performs noise reduction and smoothing on the coordinate data to obtain a smooth trajectory of the individual location; The server analyzes the smoothed position coordinate sequence and determines the instantaneous movement speed and acceleration of an individual by calculating the distance change and time difference between adjacent coordinates. Based on the smooth trajectory of individual positions and changes in movement speed, a trajectory clustering algorithm is used to classify the trajectories of different individuals to obtain the main pedestrian movement patterns in the indoor space. Further analysis of the trajectories of major pedestrian movement patterns is conducted to calculate pedestrian flow, speed distribution, and dwell time in different areas, generating a comprehensive analysis report on pedestrian movement trajectories in indoor spaces.

[0033] Optionally, step S2 includes: First, camera devices are installed at key locations in public areas to acquire extensive image data, which will then be transmitted to a central processing unit. Image processing techniques are used to preprocess the collected images, including denoising and enhancement, to improve the accuracy of image recognition; Image recognition algorithms are applied to perform individual identification on the processed images, identifying each individual target in the image; The location coordinates of each target are obtained from the identified individuals using target detection algorithms. This coordinate information is used to track the movement of individuals within the indoor space. By combining location coordinates, an algorithm is applied to generate the individual's movement trajectory. This step is in preparation for subsequent dwell time analysis. Based on the movement trajectory, the time an individual spends in a specific area is calculated. This data will be used to analyze the individual's activity patterns in various areas. Finally, all collected and calculated data are analyzed regionally to obtain individual behavioral patterns and area utilization within the indoor space, providing data support for indoor space planning and management.

[0034] Optionally, step S3 includes: By collecting individual movement trajectory data and dwell time data, data preprocessing techniques are used to clean and integrate this data to ensure data quality and integrity; The K-means clustering algorithm was used to cluster the cleaned data, thereby identifying high-frequency activity paths and long-term residence areas in the multidimensional data. By using the clustering results, principal component analysis is used to reduce data dimensionality, improve the efficiency and clarity of data visualization, and make high-frequency paths and dwell areas more obvious. Based on the results of clustering and PCA analysis, the decision tree algorithm was used to further analyze and verify the statistical significance of high-frequency activity paths and long-stay areas, ensuring that the identified paths and areas are representative and reproducible. To obtain the final high-frequency activity path data and long-term stay area data, providing support for subsequent applications; This involves ensuring that every step from data collection to analysis is closely linked, forming a complete information processing chain.

[0035] Optionally, step S4 includes: Based on the acquired high-frequency activity path data, the main paths and directions of personnel movement in the indoor space are determined, and these are used as important reference factors for the placement of movable partition walls and directional signs. Based on the data of areas where people spend a long time, we can determine the areas in the indoor space where people spend a long time and use them as the key basis for the location and size of the automatic retractable rest area. Using a spatial layout optimization algorithm, which comprehensively considers factors such as high-frequency activity paths, long-term stay areas, and indoor space area, multiple variable indoor spatial layout schemes are automatically generated. For each layout scheme, the specific placement of the movable partition walls is determined, and the position of the partition walls is dynamically adjusted according to changes in the movement path of people to optimize the spatial layout. For each layout scheme, determine the specific location and size of the automatic retractable rest area, and dynamically adjust the size of the rest area according to the changes in the time people stay to meet their rest needs; For each layout scheme, determine the specific placement and content of dynamically changing directional signs, and update the directional sign information in real time according to changes in people's movement paths to guide people to move efficiently. By comprehensively evaluating indicators such as space utilization efficiency, ease of movement of people, and rest comfort of various layout schemes, the optimal scheme is selected from multiple layout schemes to form the final variable indoor space layout scheme data.

[0036] Step S5 includes; Based on the data received by the layout control system, the system first analyzes the layout scheme in the data to determine the target status of the partition walls and rest area; The current position and status of the partition wall and rest area are monitored by the position sensor. If the current position does not match the target position, the drive mechanism is activated to adjust the partition wall and rest area to the specified position. During the adjustment of partition walls and rest areas, the system analyzes pedestrian flow data through real-time monitoring cameras and dynamically adjusts the layout to optimize space utilization efficiency. Subsequently, the system updates the displayed content of the directional signs, using image recognition technology to ensure the accuracy and readability of the displayed content; Finally, the system records the effect of each layout adjustment, analyzes historical data through machine learning algorithms, predicts future layout needs, and automatically optimizes the layout solution.

[0037] Step S6 includes: acquiring real-time pedestrian flow data in the public space, including individual movement trajectory data and dwell time data, and transmitting the acquired data to the data analysis module for processing; The data analysis module cleans and preprocesses the received real-time pedestrian flow data, removes abnormal data, and stores the processed data in a structured manner according to a preset data format. Based on the layout information of public spaces, the structured stored pedestrian flow data is divided into different areas to obtain indicators such as pedestrian density and pedestrian movement speed in each area. Set thresholds for pedestrian density and pedestrian movement speed, compare the indicator data of each area with the thresholds, and determine the degree of crowding and vacancy in each area. If the judgment result indicates that there is overcrowding in the passage area or vacancy in the rest area, the layout optimization algorithm is triggered. Based on the pedestrian flow index data of each area, the simulated annealing algorithm is used to optimize and adjust the layout of the public space. The layout optimization algorithm outputs an optimized public space layout scheme, which is then transmitted to the layout control system. The layout control system controls the location and status of movable facilities based on the received optimized layout plan, adjusts the layout of public spaces in real time, and completes the dynamic optimization process.

[0038] Step S7 includes: Deploy wireless signal transmitters and receivers in public spaces to obtain the real-time location coordinates of individuals through wireless signal positioning technology; High-definition cameras are installed at key locations in public spaces to collect images of pedestrian flow, and individuals are detected and tracked using image recognition algorithms. By fusing wireless signal positioning data with image recognition results, individual movement trajectories and dwell time data are generated; Compare and analyze the pedestrian flow data before and after optimization, calculate key indicators such as pedestrian density, flow direction distribution and dwell time, and evaluate the effect of layout optimization. If the optimization effect evaluation does not reach the preset threshold, the pedestrian flow data will be input into the layout optimization algorithm, and the public space layout will be adjusted through machine learning algorithms such as genetic algorithms and simulated annealing algorithms. The layout optimization algorithm generates a new spatial layout scheme, applies the layout parameters to the public space, and updates the layout configuration. Iteratively optimize the layout of public spaces until the pedestrian flow indicators reach the ideal effect, thus completing the process of optimizing pedestrian flow in public spaces.

[0039] The preferred embodiments disclosed above are merely illustrative of this application. The preferred embodiments do not exhaustively describe modifications and variations. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of this application, thereby enabling those skilled in the art to better understand and utilize this application. This application is limited only by the claims and their full scope and equivalents.

Claims

1. An interior soft-pack construction structure, characterized in that, include: Walls; A ceiling panel, which is connected to the wall, and the ceiling panel and the wall enclose an interior space; Wall side keel, the wall side keel is connected to the wall; Aluminum composite panel, wherein the aluminum composite panel is connected to the wall side keel by fasteners; A buffer plate, wherein the buffer plate is bonded to the aluminum composite panel; A sound-absorbing component is disposed on the top of the wall near the top plate; A camera device, wherein the camera device is located in the indoor space and is connected to the wall or ceiling; The activity component includes multiple movable bodies, each of which is movably disposed in the indoor space. The activity component includes one or more of the following: a partition wall, an automatically retractable rest area, and directional signs. Multiple wireless signal transmitters are provided, each of which is mounted on the wall-side keel and / or movable body, and the wireless signal transmitters are used to transmit location information. A ceiling sound-absorbing layer is disposed on the ceiling plate.

2. The indoor soft-pack construction structure according to claim 1, characterized in that, The sound-absorbing component includes rock wool, a support plate, and a sound-absorbing panel; The wall side keel forms multiple recessed spaces; The rock wool is filled into the recessed space; The support plate is attached to the keel, the sound-absorbing plate covers the support plate, and the sound-absorbing plate has a sound-absorbing cavity inside.

3. The indoor soft-pack construction structure according to claim 2, characterized in that, The camera device includes a bracket and a camera; The bracket is inserted through the support plate and the sound-absorbing plate and connected to the wall side keel. The camera is located in the indoor space and connected to the bracket.

4. The indoor soft-pack construction structure according to claim 1, characterized in that, The ceiling sound-absorbing layer includes a ceiling keel, a gypsum board assembly, and a centrifugal glass wool layer; The top slab keel is connected to the top slab, the gypsum board assembly is connected to the top keel, the gypsum board assembly has a sandwich layer, and the centrifugal glass wool layer is disposed within the sandwich layer.

5. The indoor soft-pack construction structure according to claim 4, characterized in that, The roof keel includes the main keel, the first keel and the second keel; The main keel, the first keel, and the second keel are arranged in descending order of height; The main keel is connected to the top plate, the first keel is connected to the main keel through keel connectors, and the second keel is connected to the first keel through fasteners; The gypsum board assembly includes a first gypsum board and a second gypsum board. The first gypsum board is connected to the first keel, and the second gypsum board is connected to the second keel. The sandwich layer is formed between the first gypsum board and the second gypsum board. The first gypsum board is a double-layered paper-faced gypsum board with a sound-insulating cavity inside.

6. The spatial layout method for indoor soft-pack construction structures as described in any one of claims 1-5, characterized in that, include: Step S1: By deploying a wireless signal transmitter in the indoor space and using wireless signal positioning technology, the location coordinate data of an individual is obtained in real time. Based on the changes in the location coordinate data, the individual's movement trajectory and speed are determined, and the individual's movement trajectory information in the indoor space is obtained. Step S2: By installing a camera device in the indoor space and using image recognition technology, the images collected by the camera device are processed to identify individual targets in the images. The position coordinates of the individual targets are determined by the target detection algorithm. Combined with the individual movement trajectory information obtained in the previous step, the dwell time of the individual in a specific area is calculated to obtain the dwell time data of the individual in different areas of the indoor space. Step S3: Summarize the individual movement trajectory information and dwell time data obtained in the first two steps, use big data analysis algorithms to perform cluster analysis on the data, identify the high-frequency activity paths of multiple individuals, and the areas where multiple individuals stay for a long time, and obtain high-frequency activity path data and long-term dwell area data. Step S4: Based on high-frequency activity path data and long-term stay area data, a spatial layout optimization algorithm is used to automatically generate a variable indoor spatial layout scheme, including the placement of movable partition walls, the placement and size of automatically retractable rest areas, and the placement and content of dynamically changing directional signs, thus forming variable indoor spatial layout scheme data. Step S5: Send the variable indoor space layout plan data to the layout control system. The system controls the movement of the movable partition wall according to the layout plan, so that it moves to the designated position. At the same time, it controls the extension and retraction of the automatic retractable rest area, so that it unfolds or retracts at the designated position. It also controls the update of the display content of the dynamically changing directional signs, so that the layout of the indoor space changes dynamically to adapt to the real-time flow of people. Step S6: During the dynamic adjustment of the indoor space layout, real-time pedestrian flow data, including individual movement trajectory data and dwell time data, is continuously collected. The real-time data is analyzed to determine the rationality of the current indoor space layout. If the layout is found to be unreasonable, the layout optimization algorithm is triggered to adjust the variable indoor space layout scheme and control the layout control system to execute the adjusted layout scheme to achieve real-time optimization of the indoor space layout. Step S7: In the optimized indoor space, the movement trajectory and dwell time of individuals are continuously tracked through wireless signal positioning and image recognition technology. Optimized pedestrian flow data is collected, and the data before and after optimization are compared to evaluate the optimization effect. If the optimization effect is not ideal, the process returns to step S4 and the layout optimization algorithm is re-executed until the ideal optimization effect is achieved, thus completing the entire indoor space pedestrian flow optimization process.

7. The spatial layout method according to claim 6, characterized in that, Step S1 includes: Based on the layout and area of ​​the indoor space, determine the number and location of the wireless signal transmitters that need to be deployed in order to achieve signal coverage of the entire indoor space; The wireless signal transmitter continuously emits wireless signals of a specific frequency and intensity, and the signals carry location coordinate information; The wearable device carried by the individual has a built-in wireless signal receiver that receives signals from different transmitters in real time. Based on the signal strength and time difference of arrival, the triangulation algorithm is used to calculate the individual's current location coordinates. Wearable devices continuously upload the individual's location coordinate data to the backend server; The server performs noise reduction and smoothing on the coordinate data to obtain a smooth trajectory of the individual location; The server analyzes the smoothed position coordinate sequence and determines the instantaneous movement speed and acceleration of an individual by calculating the distance change and time difference between adjacent coordinates. Based on the smooth trajectory of individual positions and changes in movement speed, a trajectory clustering algorithm is used to classify the trajectories of different individuals to obtain the main pedestrian movement patterns in the indoor space. Further analysis of the trajectories of major pedestrian movement patterns is conducted to calculate pedestrian flow, speed distribution, and dwell time in different areas, generating a comprehensive analysis report on pedestrian movement trajectories in indoor spaces.

8. The spatial layout method according to claim 6, characterized in that, Step S2 includes: First, camera devices are installed at key locations in public areas to acquire extensive image data, which will then be transmitted to a central processing unit. Image processing techniques are used to preprocess the collected images, including denoising and enhancement, to improve the accuracy of image recognition; Image recognition algorithms are applied to perform individual identification on the processed images, identifying each individual target in the image; The location coordinates of each target are obtained from the identified individuals using target detection algorithms. This coordinate information is used to track the movement of individuals within the indoor space. By combining location coordinates, an algorithm is applied to generate the individual's movement trajectory. This step is in preparation for subsequent dwell time analysis. Based on the movement trajectory, the time an individual spends in a specific area is calculated. This data will be used to analyze the individual's activity patterns in various areas. Finally, all collected and calculated data are analyzed regionally to obtain individual behavioral patterns and area utilization within the indoor space, providing data support for indoor space planning and management.

9. The spatial layout method according to claim 6, characterized in that, Step S3 includes: By collecting individual movement trajectory data and dwell time data, data preprocessing techniques are used to clean and integrate this data to ensure data quality and integrity; The K-means clustering algorithm was used to cluster the cleaned data, thereby identifying high-frequency activity paths and long-term residence areas in the multidimensional data. By using the clustering results, principal component analysis is used to reduce data dimensionality, improve the efficiency and clarity of data visualization, and make high-frequency paths and dwell areas more obvious. Based on the results of clustering and PCA analysis, the decision tree algorithm was used to further analyze and verify the statistical significance of high-frequency activity paths and long-stay areas, ensuring that the identified paths and areas are representative and reproducible. To obtain the final high-frequency activity path data and long-term stay area data, providing support for subsequent applications; This involves ensuring that every step from data collection to analysis is closely linked, forming a complete information processing chain.

10. The spatial layout method according to claim 6, characterized in that, Step S4 includes: Based on the acquired high-frequency activity path data, the main paths and directions of personnel movement in the indoor space are determined, and these are used as important reference factors for the placement of movable partition walls and directional signs. Based on the data of areas where people spend a long time, we can determine the areas in the indoor space where people spend a long time and use them as the key basis for the location and size of the automatic retractable rest area. Using a spatial layout optimization algorithm, which comprehensively considers factors such as high-frequency activity paths, long-term stay areas, and indoor space area, multiple variable indoor spatial layout schemes are automatically generated. For each layout scheme, the specific placement of the movable partition walls is determined, and the position of the partition walls is dynamically adjusted according to changes in the movement path of people to optimize the spatial layout. For each layout scheme, determine the specific location and size of the automatic retractable rest area, and dynamically adjust the size of the rest area according to the changes in the time people stay to meet their rest needs; For each layout scheme, determine the specific placement and content of dynamically changing directional signs, and update the directional sign information in real time according to changes in people's movement paths to guide people to move efficiently. By comprehensively evaluating indicators such as space utilization efficiency, ease of movement of people, and rest comfort of various layout schemes, the optimal scheme is selected from multiple layout schemes to form the final variable indoor space layout scheme data.

Images