Modular reconstruction and functional adaptation design method for industrial heritage factory building space

Abstract

The present application belongs to the technical field of industrial heritage protection and architectural space reconstruction and utilization, and particularly relates to a modular reconstruction and function adaptation design method for industrial heritage factory space, comprising the following steps: S1, precise mapping and parameterized modeling of heritage; S2, design of a heritage-adaptive three-level module system; S3, construction of a dynamic function self-adaptive adaptation system; S4, immersive fusion design of heritage elements; and S5, whole-cycle operation and maintenance management driven by digital twin. The present application adopts a heritage-adaptive adjustable module system, does not need to destructively modify the original structure of the factory building, and maximally preserves the authenticity of the industrial heritage; through real-time monitoring of the state of the heritage structure by a digital twin model, potential safety hazards can be timely warned, and the protection cycle of the industrial heritage is prolonged; the industrial remains are converted into functional components, the live-state protection of the heritage is realized, and the idle and wasteful use of heritage elements is avoided.

Description

Technical Field

[0001] This invention belongs to the field of industrial heritage protection and architectural space reconstruction and utilization technology, specifically involving a modular reconstruction and functional adaptation design method for industrial heritage factory space. Background Technology

[0002] As an important carrier of industrial civilization, the protection and revitalization of industrial heritage factory buildings is a current research hotspot in the field of architecture. With the acceleration of urban renewal, the renovation of traditional industrial heritage factory buildings often adopts standardized modular splicing, fixed adaptation of single functions, and simple display of heritage elements, which has many technical shortcomings.

[0003] In existing technologies, modular reconstruction often uses standard modules of fixed sizes, requiring destructive modifications such as cutting and drilling into the original steel columns and beams of the factory, which severely damages the authenticity of industrial heritage. Functional adaptation solutions are mostly one-off designs, unable to adjust the space functions according to later operational needs, resulting in low utilization of factory space and difficulty in continuously improving commercial value. The use of heritage elements is limited to the display level, disconnected from functional modules, and fails to give the heritage new use value. At the same time, the operation and maintenance management after the renovation relies heavily on manual inspections, lacking real-time monitoring of the heritage structure and module operation status, which can easily lead to structural safety hazards, and the cost and cycle of later functional iteration and renovation are high.

[0004] Furthermore, existing low-carbon transformation methods are limited to the simple recycling of old materials, failing to combine material reuse with module strength and industrial aesthetics; the application of BIM technology is limited to the modeling and construction simulation stage, without forming a closed-loop management with module operation and maintenance and heritage protection. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a modular reconstruction and functional adaptation design method for industrial heritage factory spaces. This method solves the technical problems in existing technologies, such as modular splicing damaging the heritage structure, fixed functions preventing iteration, separation of heritage and function, and low operation and maintenance efficiency. It achieves the unification of living protection of industrial heritage, dynamic adaptation of spatial functions, and intelligent operation and maintenance throughout the entire life cycle.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a modular reconstruction and functional adaptation design method for industrial heritage factory spaces, comprising the following steps: S1. Using 3D laser scanning technology, the original structure, industrial remains, and spatial dimensions of the industrial heritage factory buildings are accurately mapped at a 1:1 scale. Structural parameters are extracted and spatial characteristic parameters of three types of spaces—gallery exhibition halls, commercial sports fields and training grounds, and factory repair shops—are collected to establish a heritage-space composite database. Based on the database, the dimensions of the benchmark module are determined to ensure accurate matching with the original structure. S2. The design comprises a three-tiered modular system consisting of a baseline module, an adjustable module, and a supplementary module. The baseline module is a composite structure made from recycled steel structures from the factory and reinforced with weathering steel. Alternatively, it can utilize discarded precast concrete or masonry components. The adjustable module is a flexible structure with a telescopic range of 0.5–2 m, and the supplementary module is made of lightweight materials. The modules are connected via rotatable hinge nodes, magnetic interfaces, and steel / aluminum alloy clamps to secure steel or concrete columns, eliminating the need for welding or drilling. S3 categorizes factory functions into three types: core main functions, regular auxiliary functions, and temporary iterative functions. It supports an adaptive system that allows for one-click switching between multiple modes, including galleries, museums, indoor sports fields, commercial restaurants, training institutions, recreational spaces, factories, and repair shops. Specifically, it utilizes an electrically adjustable module with built-in electric telescopic, electric rotation, electric locking, and wireless control units. One-click switching via an app / cloud platform automatically reconstructs the physical form of the space, simultaneously matching lighting, air conditioning, acoustics, and load protection. It supports multiple mode conversions for galleries, exhibition halls, sports fields, commercial spaces, training facilities, recreational areas, factories, and repair shops. IoT sensors and control chips are embedded within the module, enabling remote function switching and parameter adjustment via a mobile app and cloud platform. S4. Classify and process the old machine tools, gears, and pipes in the factory. Transform the intact relics into modular decorative components and interactive devices, and transform the old pipes into lighting brackets and water supply and drainage pipes. Digitally replicate the original brick masonry and wall texture of the factory, and use 3D printing technology to make replica panels and embed them into the surface of the modules. S5. Based on 3D laser scanning data and module design parameters, construct a full life cycle digital twin model of industrial heritage factory buildings and modular components. The model is linked with IoT sensors to collect real-time data on module operation status and stress and deformation of heritage structures, enabling intelligent monitoring, fault warning and iterative optimization.

[0007] Compared with the prior art, the beneficial effects of the present invention are: This invention adopts a heritage-adaptive adjustable modular system, which does not require destructive modification of the original factory structure, thus preserving the authenticity of industrial heritage to the greatest extent. It monitors the status of the heritage structure in real time through a digital twin model, provides timely warnings of potential safety hazards, and extends the protection period of industrial heritage. It transforms industrial relics into functional components, realizes the living protection of heritage, and avoids the idle waste of heritage elements.

[0008] The dynamic functional adaptive system constructed by this invention can realize the rapid switching of multiple functions in the same space, adapting to various scenarios such as cultural and creative industries, offices, and exhibitions, and solving the pain point of fixed functions in existing technologies; the standardized design of module interfaces and the reservation of function iteration interfaces allow for the addition of functional modules according to market demand, reducing the cost of later transformation and enhancing the commercial value of the factory.

[0009] This invention reuses discarded steel structures from factory buildings, reducing the use of new materials and lowering the building's hidden carbon emissions; it uses environmentally friendly materials such as weathering steel and anodized aluminum to improve module durability and reduce the consumption of later maintenance materials; the modular design allows for detachable and reconfigurable modules, enabling module reuse and conforming to the concept of low-carbon circular development; by utilizing the chimney effect of the factory's tall space, combined with the module's sealed design, it reduces air conditioning energy consumption, achieving energy savings of more than 25% compared to existing technologies.

[0010] This invention achieves full-cycle intelligent operation and maintenance based on a digital twin model, monitors the status of modules and heritage structures in real time, reduces manual inspection costs, and improves operation and maintenance efficiency by more than 40%. The low-impact construction technology utilizes the existing crane beams of the factory building as hoisting support points, shortening the construction cycle by more than 30% and reducing construction costs. The deep integration of heritage revitalization and functional adaptation realizes a virtuous cycle of "protection-utilization-benefit", with significant economic and social benefits. Attached Figure Description

[0011] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Fig. 1 A flowchart illustrating the modular reconstruction and functional adaptation design methodology for industrial heritage factory spaces.

[0012] Fig. 2 A schematic diagram illustrating the specific principles of modular reconstruction and functional adaptation design methods for industrial heritage factory spaces. Detailed Implementation

[0013] 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.

[0014] Please see Figs. 1-2 The present invention provides the following technical solution: a modular reconstruction and functional adaptation design method for industrial heritage factory space, comprising the following steps: S1. Using 3D laser scanning technology, the original structure, industrial remains, and spatial dimensions of the industrial heritage factory buildings are accurately mapped at a 1:1 scale. Structural parameters are extracted and spatial characteristic parameters of three types of spaces—gallery exhibition halls, commercial sports fields and training grounds, and factory repair shops—are collected to establish a heritage-space composite database. Based on the database, the dimensions of the benchmark module are determined to ensure accurate matching with the original structure. S2. The design comprises a three-tiered modular system consisting of a baseline module, an adjustable module, and a supplementary module. The baseline module is a composite structure made from recycled steel structures from the factory and reinforced with weathering steel. Alternatively, it can utilize discarded precast concrete or masonry components. The adjustable module is a flexible structure with a telescopic range of 0.5–2 m, and the supplementary module is made of lightweight materials. The modules are connected via rotatable hinge nodes, magnetic interfaces, and steel / aluminum alloy clamps to secure steel or concrete columns, eliminating the need for welding or drilling. S3 categorizes factory functions into three types: core main functions, regular auxiliary functions, and temporary iterative functions. It supports an adaptive system that allows for one-click switching between multiple modes, including galleries, museums, indoor sports fields, commercial restaurants, training institutions, recreational spaces, factories, and repair shops. Specifically, it utilizes an electrically adjustable module with built-in electric telescopic, electric rotation, electric locking, and wireless control units. One-click switching via an app / cloud platform automatically reconstructs the physical form of the space, simultaneously matching lighting, air conditioning, acoustics, and load protection. It supports multiple mode conversions for galleries, exhibition halls, sports fields, commercial spaces, training facilities, recreational areas, factories, and repair shops. IoT sensors and control chips are embedded within the module, enabling remote function switching and parameter adjustment via a mobile app and cloud platform. S4. Classify and process the old machine tools, gears, and pipes in the factory. Transform the intact relics into modular decorative components and interactive devices, and transform the old pipes into lighting brackets and water supply and drainage pipes. Digitally replicate the original brick masonry and wall texture of the factory, and use 3D printing technology to make replica panels and embed them into the surface of the modules. S5. Based on 3D laser scanning data and module design parameters, construct a full life cycle digital twin model of industrial heritage factory buildings and modular components. The model is linked with IoT sensors to collect real-time data on module operation status and stress and deformation of heritage structures, enabling intelligent monitoring, fault warning and iterative optimization.

[0015] Preferably, the parametric design software in S1 is the Rhino+Grasshopper parametric design platform, which is used to dynamically adjust the module size according to the heritage parametric database.

[0016] Preferably, the rotation angle of the rotatable hinge node in S2 is 0-360°, and the magnetic force of the magnetic interface is ≥500N to ensure the stability of the module connection.

[0017] Preferably, the adjustable module in S2 is made of anodized aluminum, the supplementary module is made of carbon fiber, and the weathering steel of the reference module has a thickness of 8-12mm.

[0018] Preferably, the IoT sensors in S3 include a temperature sensor, a humidity sensor, a pressure sensor, and a displacement sensor, used to collect internal environmental parameters and connection status data of the module.

[0019] Preferably, the remote switching cycle of the function in S3 is ≤24 hours, and the switching process does not require manual on-site modification.

[0020] Preferably, the interactive device in S4 includes a pressure-sensing triggered voice explanation module for playing historical information about industrial heritage.

[0021] Preferably, the 3D printed replica panel in S4 is made of resin, and the surface is coated with a weather-resistant coating with a thickness of 0.5-1mm.

[0022] Preferably, the digital twin model in S5 is built on the Unity3D platform, and the real-time latency of the model is ≤500ms.

[0023] Preferably, the fault warning threshold in S5 is set according to the structural safety standards of industrial heritage factory buildings. When the data exceeds the threshold, the model automatically pushes the warning information to the mobile terminal of the operation and maintenance personnel.

[0024] This invention revolves around the core needs of industrial heritage protection and efficient space utilization, avoiding the shortcomings of existing technologies. Through a five-step core process—"surveying and modeling—module design—functional adaptation—heritage integration—operation and maintenance optimization"—it achieves innovative design and implementation. Specifically, it is summarized as follows: First, 3D laser scanning technology is used to conduct a 1:1 precise survey of the original structure of the industrial heritage factory buildings and industrial remains, extracting core parameters and establishing a parameterized heritage database to provide a precise basis for module design. Second, a three-level module system consisting of a baseline module, adjustable modules, and supplementary modules is designed. It utilizes a combination of reused scrap steel structures and weathering steel reinforcement. Notably, in addition to scrap steel structures, there are many red brick masonry and reinforced concrete structures, which are reinforced using rotatable hinge nodes and magnetic... The suction-type interface enables non-destructive splicing, overcoming the limitations of fixed modules. Secondly, a dynamic functional adaptive system is constructed, classifying and stratifying functions, embedding IoT devices for remote switching, and reserving iteration interfaces. Then, industrial heritage is functionally transformed, combining digital replication and 3D printing technologies to achieve an immersive integration of heritage elements and module functions. Finally, a full-cycle digital twin model is built to achieve real-time monitoring, early warning, and iterative optimization of modules and heritage structures, breaking through existing standardized modules and destructive modification models, and designing a heritage-adaptive adjustable module system. This enables dynamic adaptive switching of functions, solving the problem of fixed functions; transforms industrial heritage elements into functional components, breaking the limitation of the separation between heritage and function; and integrates digital twin technology to construct a full-cycle intelligent operation and maintenance closed loop. Its advantages are significant: it can preserve the authenticity of industrial heritage to the greatest extent and achieve living protection; improve space utilization and commercial value, and reduce the cost of functional iteration; reuse waste materials and use environmentally friendly materials to practice the low-carbon concept; improve efficiency through intelligent operation and maintenance, reduce safety hazards and operation and maintenance costs, and ultimately achieve the unity of industrial heritage protection, functional utilization and economic benefits, which has strong practicality and promotion value.

[0025] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A modular reconstruction and functional adaptation design method for industrial heritage factory spaces, characterized in that, Includes the following steps: S1. Using 3D laser scanning technology, the original structure, industrial remains, and spatial dimensions of the industrial heritage factory buildings are accurately mapped at a 1:1 scale. Structural parameters are extracted and spatial characteristic parameters of three types of spaces—gallery exhibition halls, commercial sports fields and training grounds, and factory repair shops—are collected to establish a heritage-space composite database. Based on the database, the dimensions of the benchmark module are determined to ensure accurate matching with the original structure. S2. The design comprises a three-tiered modular system consisting of a baseline module, an adjustable module, and a supplementary module. The baseline module is a composite structure made from recycled steel structures from the factory and reinforced with weathering steel. Alternatively, it can utilize discarded precast concrete or masonry components. The adjustable module is a flexible structure with a telescopic range of 0.5–2 m, and the supplementary module is made of lightweight materials. The modules are connected via rotatable hinge nodes, magnetic interfaces, and steel / aluminum alloy clamps to secure steel or concrete columns, eliminating the need for welding or drilling. S3 categorizes factory functions into three types: core main functions, regular auxiliary functions, and temporary iterative functions. It supports an adaptive system that allows for one-click switching between multiple modes, including galleries, museums, indoor sports fields, commercial restaurants, training institutions, recreational spaces, factories, and repair shops. Specifically, it utilizes an electrically adjustable module with built-in electric telescopic, electric rotation, electric locking, and wireless control units. One-click switching via an app / cloud platform automatically reconstructs the physical form of the space, simultaneously matching lighting, air conditioning, acoustics, and load protection. It supports multiple mode conversions for galleries, exhibition halls, sports fields, commercial spaces, training facilities, recreational areas, factories, and repair shops. IoT sensors and control chips are embedded within the module, enabling remote function switching and parameter adjustment via a mobile app and cloud platform. S4. Classify and process the old machine tools, gears, and pipes in the factory. Transform the intact relics into modular decorative components and interactive devices, and transform the old pipes into lighting brackets and water supply and drainage pipes. Digitally replicate the original brick masonry and wall texture of the factory, and use 3D printing technology to make replica panels and embed them into the surface of the modules. S5. Based on 3D laser scanning data and module design parameters, construct a full life cycle digital twin model of industrial heritage factory buildings and modular components. The model is linked with IoT sensors to collect real-time data on module operation status and stress and deformation of heritage structures, enabling intelligent monitoring, fault warning and iterative optimization.

2. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The parametric design software mentioned in S1 is the Rhino+Grasshopper parametric design platform, which is used to dynamically adjust the module size based on the heritage parametric database.

3. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The rotatable hinge node in S2 has a rotation angle of 0-360°, and the magnetic interface has a suction force of ≥500N to ensure the stability of the module connection.

4. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The adjustable module in S2 is made of anodized aluminum, the supplementary module is made of carbon fiber, and the weathering steel of the reference module has a thickness of 8-12mm.

5. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The IoT sensors in S3 include a temperature sensor, a humidity sensor, a pressure sensor, and a displacement sensor, which are used to collect internal environmental parameters and connection status data of the module.

6. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The remote switching cycle of the function described in S3 is ≤24 hours, and the switching process does not require manual on-site modification.

7. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The interactive device in S4 includes a pressure-sensing triggered voice explanation module for playing historical information about industrial heritage.

8. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The 3D printed replica panel in S4 is made of resin, with a weather-resistant coating sprayed on the surface. The thickness of the weather-resistant coating is 0.5-1mm.

9. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The digital twin model described in S5 is built on the Unity3D platform, and the real-time latency of the model is ≤500ms.

10. The modular reconstruction and functional adaptation design method for industrial heritage factory space according to claim 1, characterized in that: The fault warning threshold in S5 is set according to the structural safety standards of industrial heritage factory buildings. When the data exceeds the threshold, the model automatically pushes warning information to the mobile terminal of the operation and maintenance personnel.

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