Energy-saving evaluation and precise reconstruction method and system for city renewal empowered by digital twin

Abstract

The application relates to the technical field of digital twinning, and discloses a digital twinning-enabled urban renewal energy-saving evaluation and accurate reconstruction method and system, which comprises a data acquisition module, a model construction module, a layered digital twinning model of urban renewal multi-scene constructed by integrating urban and rural planning, a BIM (Building Information Modeling) and a GIS (Geographic Information System), the layered digital twinning model is divided into an old community full building energy consumption public facility modeling layer, a historical block building style protection energy consumption core modeling layer and an industrial heritage plant structure safety energy-saving reconstruction modeling layer according to urban renewal scenes, a model updating module, a multi-subject data input port is arranged, process data is received, and the layered digital twinning model is dynamically updated, an energy-saving evaluation module, a scheme generation module, personalized accurate reconstruction schemes are generated according to energy-saving evaluation results, and a visual interaction module is used for visual display of the layered digital twinning model and the reconstruction schemes. The application realizes accurate building energy-saving evaluation and personalized reconstruction schemes.

Description

Technical Field

[0001] This invention relates to the field of digital twin technology, specifically to a digital twin-enabled method and system for energy-saving assessment and precise renovation of urban renewal. Background Technology

[0002] Urban renewal is a core task in my country's urbanization process as it enters a stage of high-quality development. Energy-saving renovation, as an important component of urban renewal, is directly related to urban green development and sustainable construction.

[0003] Digital twin technology, with its real-time mapping capability between physical entities and virtual models, has become a key technical means to solve the problems of inaccurate energy-saving assessments and insufficient targeting of renovation plans in urban renewal. It is widely used in fields such as building energy-saving management, regional renewal monitoring, and renovation of old residential areas.

[0004] Existing technologies include digital twin-based urban renewal area full life cycle monitoring systems, smart management platforms for old residential area renovation, and building energy conservation management systems. These solutions achieve energy conservation monitoring and renovation management of buildings or areas through data collection, model building, and intelligent analysis, thereby improving the level of intelligence in urban renewal energy conservation work to a certain extent.

[0005] However, existing technologies still have many shortcomings. First, digital twin modeling uses a single precision standard, which cannot adapt to the differentiated needs of complex urban renewal scenarios such as old residential areas, historical blocks, and industrial heritage sites. Over-modeling of historical blocks leads to a waste of computing power, while insufficient modeling precision of old residential areas results in errors in energy-saving assessments. Second, modeling technology is not deeply integrated with urban and rural planning, and planning requirements such as the red line for the protection of historical and cultural heritage and the spatial layout for urban-rural integration are not incorporated into the model design, which can easily lead to conflicts between renovation plans and urban and rural planning. Third, modeling modules lack reusability, and different scenarios require separate development of modeling modules, which increases the system development and maintenance costs and makes it difficult to implement in grassroots urban renewal management departments.

[0006] The aforementioned shortcomings result in insufficient adaptability, accuracy, and practicality of existing digital twin technology in urban renewal energy conservation assessment and renovation, thus hindering the efficient advancement of urban renewal energy conservation renovation work. Summary of the Invention

[0007] This invention aims to provide a digital twin-enabled method and system for energy-saving assessment and precise renovation of urban renewal, in order to solve the technical problems in existing urban renewal energy-saving assessments where digital twin modeling cannot adapt to complex scenarios such as old residential areas, historical blocks, and industrial heritage, where there is an imbalance between modeling accuracy and computing power cost, and where the model is out of touch with urban and rural planning needs and cannot be dynamically updated based on multi-subject process data.

[0008] To solve the above problems, the present invention adopts the following technical solution: Option 1: A digital twin-enabled urban renewal energy-saving assessment and precision renovation system, including: The data acquisition module is used to collect multi-source data from urban renewal areas; The model building module integrates urban and rural planning, BIM building information modeling and GIS geographic information system technology to build a hierarchical digital twin model for multiple urban renewal scenarios. The hierarchical digital twin model is divided into the following layers according to urban renewal scenarios: the modeling layer of energy consumption of public facilities in old residential areas, the modeling layer of energy consumption core of architectural style protection in historical blocks, and the modeling layer of structural safety and energy-saving renovation of industrial heritage factory buildings. The model update module is configured with multiple subject data input ports to receive process data and dynamically update the hierarchical digital twin model. The energy-saving assessment module identifies weak points in energy conservation and quantifies energy-saving potential based on a hierarchical digital twin model. The solution generation module generates personalized and precise renovation solutions based on the energy-saving assessment results. The visualization and interaction module is used for the visualization display of hierarchical digital twin models and transformation solutions.

[0009] Beneficial effects: This invention constructs a hierarchical digital twin model adapted to multiple urban renewal scenarios, integrating BIM building information modeling and GIS geographic information system integration technology with urban and rural planning requirements. It solves the problem that the accuracy of single modeling cannot adapt to complex scenarios, achieving a balance between accurate modeling and saving computing power. At the same time, it provides data support for dynamic model updates through multiple subject data input ports, improving the synchronization between the model and the real scene.

[0010] Compared to existing digital twin models that lack a dynamic multi-entity data input mechanism and rely solely on sensor-collected data for updates, failing to incorporate real-world scenario data from multiple stakeholders such as government departments, market entities, and residents, leading to a disconnect between the model and the real-world scenario, this invention's model update module cleverly incorporates multi-entity data input ports. This allows for more realistic reception of process data and dynamic updates to the hierarchical digital twin model, effectively solving the problem of model disconnect from real-world scenarios during use.

[0011] Compared to existing digital twin models, which fail to consider the deep integration of BIM and GIS, the modeling of energy-consuming components within buildings and the macro-spatial geographic modeling of the area are independent, failing to provide comprehensive spatial data support for energy conservation assessments. This invention, through the hierarchical digital twin model setup, effectively reduces the amount of data required for model construction, enabling BIM and GIS to overcome the limitations of excessive data volume and achieve deep integration.

[0012] This invention constructs a hierarchical digital twin model adapted to multiple scenarios of urban renewal, enabling more precise building energy conservation assessments and personalized renovation plans. At the same time, it allows the digital twin model to be deeply integrated with urban and rural planning requirements and synchronized with real-world scenario changes in real time, thereby improving the scientific nature and feasibility of energy-saving renovations in urban renewal.

[0013] Preferably, the model building module adopts a component-based design, which breaks down the modeling module into general components and scene-customized components. The general components are energy consumption data acquisition components, and the scene-customized components include historical building style protection components, old community public facility adaptation components, and industrial heritage structure safety monitoring components. Multiple scenes can be quickly adapted through component splicing.

[0014] Beneficial effects: It enables the reuse of modeling modules, avoids the repeated development of modeling modules for different scenarios, significantly reduces the development and maintenance costs of the system, and improves the system's adaptability to multiple urban renewal scenarios.

[0015] Preferably, the multi-subject data input ports of the model update module include a management port, a sub-management port, and a public port. The public port is in the form of a webpage or a mobile APP. Residents submit update data through the public port by registering an account, and the model update is completed after being reviewed by the management personnel at the management port.

[0016] Beneficial effects: A multi-entity collaborative data input mechanism was established, covering different entities such as competent authorities, operation and maintenance units, and residents, which enriched the data sources for model updates. At the same time, the verification mechanism ensured the accuracy of input data and improved the reliability of dynamic model updates.

[0017] Preferably, the model update module sets differentiated process data input frequencies for different modeling layers. The input frequency for the core modeling layer of energy consumption protection of historical blocks is once a month, the input frequency for the modeling layer of energy consumption of public facilities of old residential buildings is twice a week, and the input frequency for the modeling layer of structural safety and energy-saving renovation of industrial heritage factory buildings is once a day.

[0018] Beneficial effects: By setting differentiated data input frequencies according to the actual needs of different urban renewal scenarios, the model can avoid resource waste caused by invalid data input while ensuring synchronization with the real scene, thereby improving the efficiency and relevance of model updates.

[0019] Preferably, the model building module is configured to: embed the historical and cultural heritage protection red line and urban and rural planning requirements for the spatial layout of urban-rural integration into the GIS layer, and perform macro-spatial geographic modeling of the urban renewal area based on the GIS layer; at the same time, perform detailed modeling of energy-consuming components, including internal pipe networks, air conditioning, and walls, based on BIM; and integrate the BIM model with the GIS layer through a unified spatial coordinate system.

[0020] Beneficial effects: It achieves deep integration of BIM and GIS, incorporates urban and rural planning requirements into model design, and can automatically identify areas that can and cannot be modified during modeling, avoiding conflicts between energy-saving renovation plans and urban and rural planning, and improving the compliance and scientific nature of renovation plans.

[0021] Option 2: A digital twin-enabled urban renewal energy-saving assessment and precise renovation method, applied to the aforementioned digital twin-enabled urban renewal energy-saving assessment and precise renovation system, includes the following steps: S1. Collect UAV mapping data, IoT sensor data, building archive data and urban and rural planning data in urban renewal areas through the data acquisition module; S2, the model building module is based on the principles of urban and rural planning and the integrated technology of BIM building information modeling and GIS geographic information system. It builds corresponding hierarchical digital twin models for three types of scenarios: old residential areas, historical blocks and industrial heritage. The modeling module is assembled by a modular splicing method of general components and scene-customized components. S3. The model update module receives process data through the multi-subject data input port and dynamically updates the hierarchical digital twin model according to the frequency of differentiated inputs. S4, the energy-saving assessment module, is based on a dynamically updated hierarchical digital twin model to identify weak links in energy conservation in urban renewal areas and quantify energy-saving potential. S5. The scheme generation module generates personalized and precise renovation schemes based on weak links and energy-saving potential, combined with urban and rural planning requirements. S6. Display hierarchical digital twin models and personalized, precise transformation solutions through a visual interactive module, receive user feedback, and optimize the transformation solutions.

[0022] Beneficial effects: The data collected from drone mapping, IoT sensor data, building archives, and urban and rural planning are all readily available and collectable data. This invention provides a comprehensive method for energy-saving assessment and precise renovation across multiple urban renewal scenarios. It integrates urban and rural planning with digital twin technology, achieving integrated advancement of modeling, renovation, assessment, and scheme generation, thereby enhancing the scientific rigor and accuracy of the entire process of energy-saving renovation in urban renewal.

[0023] Preferably, in step S2, the core modeling layer for the energy consumption of historical building style protection only performs detailed modeling of the internal pipe network and equipment of the building, while the exterior of the building is modeled in a lightweight manner at a scale of 1:50; the modeling layer for the energy consumption of public facilities of old residential buildings performs detailed modeling of the building as a whole and public facilities at a scale of 1:10; and the modeling layer for the structural safety and energy-saving renovation of industrial heritage factory buildings performs detailed modeling of the factory building structure and energy-saving renovation parts at a scale of 1:20.

[0024] Beneficial effects: By quantifying and limiting the modeling accuracy of different scenarios with specific proportional values, a balance between accurate modeling and computing power saving can be further achieved. The modeling accuracy of different scenarios can be matched with their energy-saving renovation and planning protection needs, thereby improving the practicality of the model.

[0025] Preferably, in step S3, the core modeling layer for the protection of architectural features in historical districts receives inspection process data from the competent authorities only through the management port; the modeling layer for the structural safety and energy-saving renovation of industrial heritage factory buildings receives inspection data from the competent authorities through the management port and usage process data from enterprises through a dedicated port; the modeling layer for the energy consumption of public facilities in old residential areas receives data from the competent authorities through the management port, operation and maintenance data from fire protection and property management through the designated port, and feedback data from residents through the public port.

[0026] Beneficial effects: By setting up differentiated multi-subject data input channels for different modeling layers, and matching the management and user characteristics of different urban renewal scenarios, the relevance and comprehensiveness of process data can be ensured, and the fit of dynamic model updates can be improved.

[0027] Preferably, in step S3, the review time for resident update data on the public port shall not exceed 24 hours. Data that passes the review shall be updated to the hierarchical digital twin model within 1 hour. Data that fails the review shall be fed back to the residents with specific reasons.

[0028] Beneficial effects: By limiting the efficiency of reviewing and updating public port data with specific time values, the timely processing of resident feedback data is ensured, resident participation is improved, and the model can quickly absorb effective resident data, thereby improving the synchronization between the model and the real living scenario.

[0029] Preferably, in step S4, the specific working logic of the energy-saving assessment module is as follows: First, extract full-dimensional data of building energy consumption components from the dynamically updated hierarchical digital twin model, including core parameters such as pipeline thermal conductivity, air conditioning energy efficiency ratio, wall insulation coefficient, and lighting equipment power. Secondly, based on the type of urban renewal scenario, the corresponding national and industry energy-saving renovation standard system is matched. Then, combined with urban and rural planning requirements, building structural characteristics and regional energy utilization planning, the exclusive energy-saving standard thresholds for energy-consuming components in each scenario are determined. Among them, the historical block scenario matches the energy-saving renovation standard for cultural relics buildings, the old residential area scenario matches the energy-saving design standard for the renovation of old urban residential areas, and the industrial heritage scenario matches the energy-saving renovation standard for industrial buildings. Then, the core parameters of the extracted energy-consuming components are compared with the exclusive energy-saving standard thresholds for each scenario one by one, and the components whose parameters exceed the threshold are marked as weak links in energy saving. Finally, based on the parameter deviation values ​​of the weak links in energy conservation, combined with the actual usable area of ​​the building, the average daily operating time of energy-consuming equipment, and the local energy pricing standards, the energy conservation potential of a single weak link and the overall energy conservation potential of the urban renewal area are quantified through energy consumption simulation algorithms. At the same time, the energy conservation efficiency / renovation cost ratio of each weak link is calculated, and the renovation priority of each weak link is output according to the ratio from high to low.

[0030] Beneficial effects: The national and industry energy-saving renovation standard system referred to in this invention includes energy-saving renovation standards for cultural heritage buildings, energy-saving design standards for the renovation of old urban communities, and energy-saving renovation standards for industrial buildings. These standards are all publicly available information, and each standard includes quantifiable indicator parameters. This invention can use the corresponding indicator parameters as the energy-saving standard threshold for scenario-based translation.

[0031] This invention clarifies the standardized working logic of the entire energy-saving assessment module, realizing a closed-loop design from data extraction of energy-consuming components, determination of scenario-specific thresholds, identification of weak links to quantification of energy-saving potential and prioritization of renovations. This allows the energy-saving assessment process to break free from experience-based judgment and improves the scientificity, standardization and reproducibility of the assessment results. A scenario-based, multi-dimensional logic for determining energy-saving standard thresholds has been established. Instead of using a single fixed threshold, it comprehensively determines a specific threshold by combining the national / industry standards, urban and rural planning requirements, building characteristics, and regional energy planning corresponding to the scenario. This ensures that the threshold is highly compatible with the actual renovation needs and compliance requirements of various urban renewal scenarios, and solves the problems of weak link identification bias and distorted evaluation results caused by the single threshold adapting to multiple scenarios in existing technologies. The quantification of energy-saving potential, combined with actual data on building use, equipment operation, and regional energy pricing, makes the quantification results more consistent with the real energy consumption of urban renewal areas. At the same time, the energy efficiency / retrofit cost ratio is used to output the retrofit priority, providing accurate quantitative basis and clear decision support for the generation of subsequent retrofit plans. This allows the retrofit plans to meet energy-saving requirements while taking into account economic efficiency, achieving the optimal balance between energy efficiency and retrofit cost. The threshold is determined based on national and industry energy-saving renovation standards, while also incorporating urban and rural planning and regional energy utilization requirements. This ensures that the energy-saving assessment results and subsequent renovation plans not only comply with the national building energy conservation standards but also align with the overall planning layout of urban renewal, thereby enhancing the compliance and systematic nature of energy-saving renovation work.

[0032] (a) Advantages of the present invention 1. Strong scenario adaptability: Construct hierarchical digital twin models of old residential areas, historical blocks, and industrial heritage sites. Combined with component-based design and differentiated modeling accuracy, it perfectly adapts to the differentiated needs of complex urban renewal scenarios, achieving the dual goals of accurate modeling and saving computing power.

[0033] 2. Deep integration of planning: The requirements for the protection of historical context and urban-rural integration layout in urban and rural planning are embedded into the integrated model of BIM building information model and GIS geographic information system. During the modeling process, the model automatically identifies areas that can be modified or cannot be modified, thereby avoiding conflicts between modification plans and urban and rural planning from the source and improving the compliance of modification plans.

[0034] 3. High model dynamism: The system sets up a process data input mechanism with multiple subjects, multiple ports, and differentiated frequencies, covering all relevant subjects such as competent authorities, enterprises, property management, and residents. This allows the digital twin model to synchronize with real-world scene changes in real time, improving the accuracy of assessment and renovation.

[0035] 4. Low development and maintenance costs: The modular design, which combines general components with scenario-customized components, enables the reuse of modeling modules. There is no need to develop separate modules for different scenarios, which greatly reduces the development and maintenance costs of the system and makes it easier for grassroots departments to implement and apply it.

[0036] 5. Broad public participation: Set up public portals in the form of web pages or mobile apps to allow residents to easily participate in data input and feedback on solutions, thereby increasing public participation in energy-saving renovations for urban renewal and making renovation plans more in line with actual needs.

[0037] (ii) Unexpected solutions to technical problems In existing technologies, those skilled in the art generally believe that solving the problem of adapting digital twin modeling to complex scenarios only requires improving the accuracy of sensor acquisition and the complexity of model algorithms. However, this inevitably leads to pain points such as large data volume, data redundancy, computational complexity, and difficulty in data migration and fusion. This invention breaks away from this conventional thinking, starting from the perspective of urban and rural planning, classifying urban renewal scenarios and constructing hierarchical models. At the same time, it combines multi-subject data input to achieve dynamic model updates. This not only solves the problems of scenario adaptation and computational complexity, but also achieves deep integration of the model with urban and rural planning and real scenarios. Its solution approach is unexpected by those skilled in the art. In addition, existing technologies all use a single data input channel for model updates. This invention innovatively sets up three types of ports: management, sub-management, and public, allowing residents to become the main participants in model updates. This solution breaks through the conventional technical means in this field and achieves unexpected technical effects.

[0038] (iii) Unexpected Technological Means 1. This invention integrates urban and rural planning with digital twin lightweight modeling, and BIM building information modeling with GIS geographic information system technology across fields. It embeds planning requirements such as the red line for the protection of historical and cultural heritage into the GIS layer, realizing a deep binding between planning requirements and digital twin models. This cross-field integration technology has never been used by those skilled in the art, breaking the limitation of digital twin technology focusing only on engineering technology applications.

[0039] 2. This invention sets specific proportional values ​​for the modeling accuracy of different scenarios and sets differentiated input frequencies and ports for different modeling layers. By using quantitative values ​​and multi-dimensional differentiation techniques, it achieves precise modeling and updating. This refined technical design is not found in conventional techniques in this field and achieves results far exceeding those of conventional techniques.

[0040] 3. This invention incorporates residents into the digital twin model update process. Through a public portal in the form of a webpage or mobile app, and with a time limit of 24-hour review and 1-hour update, residents can conveniently and efficiently participate in the model update. This technology breaks through the limitations of existing technologies that rely solely on professional institutions for data collection and model updates. Its public participation technology design is something that those skilled in the art could not have foreseen. Attached Figure Description

[0041] Figure 1 This is a logic block diagram of the system of the present invention.

[0042] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0043] The following detailed description illustrates the specific implementation method: As attached Figure 1 As shown, the digital twin-enabled urban renewal energy-saving assessment and precise renovation system of this invention includes a central processing unit and data acquisition modules, model building modules, model updating modules, energy-saving assessment modules, scheme generation modules, and visualization interaction modules connected to the central processing unit. The core of the system is the model building module, which integrates urban and rural planning, BIM (Building Information Modeling), and GIS (Geographic Information System) technologies to construct hierarchical digital twin models of old residential areas, historical blocks, and industrial heritage sites, employing a component-based design that combines general and scenario-customized approaches. The model updating module has three types of ports: management, sub-management, and public, receiving multi-entity process data at differentiated frequencies to dynamically update the model. The energy-saving assessment module identifies and quantifies energy-saving weaknesses based on the dynamic model. The scheme generation module generates personalized renovation schemes in accordance with urban and rural planning requirements. The visualization interaction module displays the models and schemes and provides user feedback.

[0044] This method applies the aforementioned system to sequentially complete multi-source data acquisition, hierarchical component-based modeling, multi-subject differentiated dynamic updates, precise energy-saving assessment, personalized solution generation, visualization display, and solution optimization. Specific quantitative values ​​are set for modeling accuracy, data input frequency, review and update time, and assessment accuracy error for different scenarios, realizing intelligent and precise full-process energy-saving assessment and precise transformation of urban renewal.

[0045] As attached Figure 2 As shown, the digital twin-enabled urban renewal energy-saving assessment and precise renovation method of the present invention includes the following steps: S1. Collect UAV mapping data, IoT sensor data, building archive data and urban and rural planning data in urban renewal areas through the data acquisition module; S2, the model building module is based on the principles of urban and rural planning and the integrated technology of BIM building information modeling and GIS geographic information system. It builds corresponding hierarchical digital twin models for three types of scenarios: old residential areas, historical blocks and industrial heritage. The modeling module is assembled by a modular splicing method of general components and scene-customized components. In step S2, the core modeling layer for the energy consumption of historical building style protection only performs detailed modeling of the internal pipe network and equipment of the building, while the exterior of the building is modeled in a lightweight manner at a scale of 1:50; the modeling layer for the energy consumption of public facilities of old residential buildings performs detailed modeling of the building as a whole and public facilities at a scale of 1:10; and the modeling layer for the structural safety and energy-saving renovation of industrial heritage factory buildings performs detailed modeling of the factory building structure and energy-saving renovation parts at a scale of 1:20.

[0046] The lightweight modeling scale is perfectly matched to the core acquisition parameters, acquisition frequency, and single update data volume for the three scenarios. While retaining the core parameters of digital twin restoration, the geometric data volume is simplified by lightweighting the scale of non-core areas, achieving the design goal of "accuracy adapting to requirements and data volume matching update frequency". 1. Historic district (lightweight building exterior at a 1:50 scale, with refined internal pipe networks and equipment) Core data collection parameters (8 items): spatial coordinates, thermal conductivity of pipeline network, air conditioning energy efficiency ratio, lighting equipment power, water supply and drainage pipeline diameter, equipment operating time, building usable area, and planning protection red line.

[0047] Data collection and update characteristics: Data collection is only conducted on internal energy-consuming components; there are no modifications to the building exterior or detailed parameter collection. Data collection frequency is once a month, with a single update of approximately 500 data entries, resulting in low frequency and small data volume.

[0048] Lightweight modeling of historical district buildings is achieved by setting the building exterior model and actual scale to 1:50, retaining only the macro outline of the building exterior and not generating detailed geometric data, thus greatly reducing the amount of data; the internal detailed modeling can fully support 8 core parameters, meet the needs of energy-saving assessment, and match the computing power consumption of low-frequency updates.

[0049] 2. Old residential communities (1:10 scale refinement of buildings and public facilities) Core data collection parameters (15 items): spatial coordinates, building usable area, wall insulation coefficient, door and window insulation coefficient, pipeline thermal conductivity, air conditioning energy efficiency ratio, lighting equipment power, water supply and drainage pipeline diameter, public facility power, equipment operating time, elevator energy consumption, fire protection facility energy consumption, parking space lighting power, planning protection red line, and regional energy type.

[0050] Data collection and update features: Comprehensive data collection across all buildings and public facilities, with no parameter omissions; data collection frequency twice a week, with approximately 2000 data entries updated per cycle, representing medium frequency and large data volume. Setting the model of the overall buildings and public facilities in old residential areas to a 1:10 high-precision model can accurately restore the spatial characteristics of the building body and public facilities, fully carry 15 all-dimensional parameters, meet the needs of all-element energy-saving renovation assessment, adapt to the needs of medium-frequency and large-scale data updates, and the building structure of old residential areas is regular, so the amount of high-precision modeling data is controllable.

[0051] 3. Industrial heritage (1:20 scale detailing of factory structure and energy-saving renovations) Core data collection parameters (12 items): Spatial coordinates, building usable area, structural safety level, pipeline thermal conductivity, wall insulation coefficient, air conditioning energy efficiency ratio, lighting equipment power, water supply and drainage pipeline diameter, equipment operating time, area of ​​renovation, planned protection boundary, and regional energy type. Data collection and update features: Focus on data collection from factory structures and energy-saving retrofitted areas; no parameters are collected from idle areas; data collection frequency is once daily, with approximately 800 data entries per update, indicating high frequency and medium data volume. The model of the factory structure and energy-saving renovation parts in the industrial heritage area is set at a high-precision scale of 1:20. This model can take into account both the structural safety of the factory and the parameter load of the energy-saving renovation parts. Compared with 1:10, it reduces the amount of geometric data by 75%, adapts to the high-frequency update requirements of once a day, avoids the computational overload caused by high-precision modeling, and retains 12 core parameters to meet the dual requirements of structural safety and energy-saving assessment.

[0052] Meanwhile, the lightweight modeling in this step lays the foundation for the subsequent integration of BIM building information modeling and GIS geographic information system using existing BIM and GIS systems.

[0053] It should be noted that the "planning protection red line" is a legally defined spatial boundary parameter in urban renewal scenarios that constrains development and construction. It records two types of boundary information: one is the core protection area (such as the main body of historical buildings, the core structural area of ​​industrial heritage, and ecologically sensitive areas), and the other is the construction control zone (the controlled area outside the core area where limited development is allowed). It exists in the form of a set of spatial coordinates plus control attributes. It is the core basis for determining whether an area can be modified or not in the digital twin model, and it is also a key spatial constraint parameter that needs to be unified for the integration of BIM building information model and GIS geographic information system.

[0054] The method for collecting the "planned protection red line" in this invention follows the principles of legally required data retrieval, on-site boundary verification, and coordinate standardization. The specific steps are as follows: The first step is to obtain legally required data: obtain the land and space planning documents and red line delineation scheme maps of the urban renewal area from the natural resources bureaus and housing and construction bureaus at the county level or above, and obtain basic information such as the legal boundary description of the red line, the coordinates of the turning point (CGCS2000 national geodetic coordinate system), and control requirements. The second step is on-site boundary demarcation and verification: Combining digital orthophoto maps (DOM) and topographic maps, using the GNSS global navigation satellite system for positioning, the location of the red line inflection points (such as building corners, road boundaries, and landform boundaries) is verified on-site to correct the deviation between the drawings and the actual situation, ensuring that the boundary is clearly defined; The third step is to standardize the coordinates and attributes: the verified red line boundary is converted into a standardized data format, and three types of information are collected: ① inflection point coordinates (latitude and longitude / plane coordinates, retaining 6 decimal places); ② red line type (core protection line / construction control line); ③ control attributes (such as "prohibited from demolition and alteration" or "allowed for energy-saving renovation"). The fourth step is data import and integration: standardized data is imported into the GIS system, linked with the building's spatial coordinates to form the spatial topological relationship between the red line and the building, and then synchronized to the attribute library of the BIM model for use in generating energy-saving renovation plans by calling constraint rules.

[0055] The "Planning Protection Red Line" parameter is a static core constraint parameter that does not change with the frequency of scene data collection and is only updated when the plan is adjusted. This parameter is a "spatial constraint constant" and does not generate high-frequency update data. It only needs to be imported in the early stage of modeling. It does not increase the amount of model data and can provide a clear boundary for the "unalterable area" for hierarchical modeling, ensuring that the spatial constraints are consistent when the BIM building information model and the GIS geographic information system are integrated.

[0056] The specific adaptation of the "Planning Protection Red Line" parameter is as follows: Historic districts and industrial heritage: retrieve the protection red line of historical buildings and the red line of the core protection area of ​​industrial heritage, collect a complete set of coordinate and attribute data, which will only be updated 1-2 times in its lifetime, with a data volume of about 50-100 records (main inflection point coordinates and control rules). Old residential areas: retrieve urban development boundaries and ecological protection red lines (this option is only available if they are involved), collect 1 set of data, update the data frequency in sync with urban planning adjustments (once every 3-5 years), and the data volume is approximately 30-80 records.

[0057] In addition, the specific operations for other core data acquisition parameters in the above three scenarios can be carried out using existing methods combined with the actual situation on site.

[0058] By utilizing existing BIM and GIS systems, this invention defines 10 shared data items for both systems. This allows BIM and GIS systems to achieve seamless data sharing by unifying only these 10 core shared data items, eliminating redundant data interaction, significantly reducing system response time, and realizing the integration of the two systems. Furthermore, these 10 items are common core parameters for three types of scenarios, fully covering the core needs of digital twin restoration, energy conservation assessment, and urban and rural planning, without affecting model expression: spatial coordinates, building usable area, pipeline thermal conductivity, wall insulation coefficient, air conditioning energy efficiency ratio, lighting equipment power, planning protection red line, regional energy type, equipment operating time, and water supply and drainage pipeline diameter.

[0059] Therefore, the 1:50, 1:10, and 1:20 scales of this invention are highly compatible with the number of parameter items, collection frequency, and update data volume of each scenario. The scale of non-core areas is lightened by simplifying only the geometric data that has no value, while the core parameter items are fully retained. The integration of BIM building information model and GIS geographic information system achieves direct sharing of data between the two systems through the unified 10 common core data items, without the need for additional data conversion or redundant interaction, thereby reducing system response time from the source, while ensuring that the digital twin fully restores and expresses the building's energy consumption, space, and planning characteristics.

[0060] S3. The model update module receives process data through the multi-subject data input port and dynamically updates the hierarchical digital twin model according to the frequency of differentiated inputs. In step S3, the core modeling layer for the energy consumption of historical building style protection only receives inspection process data from the competent department through the management port; the modeling layer for the structural safety and energy-saving renovation of industrial heritage factory buildings receives inspection data from the competent department through the management port and usage process data from enterprises through a dedicated port; the modeling layer for the energy consumption of public facilities in old residential areas receives data from the competent department through the management port, operation and maintenance data from fire protection and property management through the management port, and feedback data from residents through the public port.

[0061] In step S3, the review time for resident update data on the public port shall not exceed 24 hours. Data that passes the review shall be updated to the hierarchical digital twin model within 1 hour. Data that fails the review shall be fed back to the residents with specific reasons.

[0062] This invention achieves dynamic updates to a hierarchical digital twin model through a three-tiered differentiated design: defining ports based on scenarios, frequency based on ports, and processing rules based on data. This ensures both data authenticity and timely updates, while streamlining the amount of data updated through precise frequency and port control. Furthermore, it designs adaptive processing flows for two common ports: web pages and mobile apps, balancing convenience for residents' participation with efficiency in data verification. Specific limitations are as follows: First, port configuration and input frequency settings are differentiated according to different scenarios. The core principle is to determine the port type based on scenario requirements and the input frequency based on the importance of updates. Only necessary ports are matched for each scenario to avoid redundant ports generating invalid data. The frequency is matched with the scenario's energy consumption / structural change rate and management requirements. High-frequency input is only for scenarios with rapid changes and significant impacts, reducing the amount of update data from the source. The specific configuration is as follows: 1. Historic District (Management Port Only) Port type: Unique management port (exclusively for the historical protection authority).

[0063] Input frequency: once a month (fixed inspection cycle), with additional uploads only made temporarily when historical buildings suffer sudden damage.

[0064] Data volume control: Only core inspection data is uploaded, with no additional port data input, and the amount of data updated at one time is controlled within 500 records.

[0065] 2. Industrial Heritage (Management Port and Enterprise-Specific Port) Management Portal: Exclusively for the competent authority, input frequency once a week (regular structural safety inspection).

[0066] Enterprise-dedicated port: Exclusively for park operators and resident companies, with an input frequency of once per day (real-time data on equipment usage and energy consumption).

[0067] Data volume control: Data is uploaded and categorized on both ends, integrated as needed, duplicate collection items are eliminated, and the total amount of data updated in a single session is controlled within 800 records.

[0068] 3. Older residential communities (management ports, sub-management ports, and public ports) Management Portal: Exclusively for the competent authority, input frequency is once every two weeks (overall progress of area renovation, planning adjustment data).

[0069] The designated port is for property management and fire protection, and the input frequency is once a day (public facility operation and maintenance, fire equipment operation, and overall energy consumption data of the community).

[0070] Public portal: Resident portal (webpage and APP), with no fixed frequency, for residents to report energy consumption issues and facility damage in their homes, which are then collected and reviewed in batches by the system.

[0071] Data volume control: Data from the three types of ports is uploaded in layers according to "individual building - public area - overall area" to avoid data overlap and duplication, and the total amount of data updated at one time is controlled within 2,000 records.

[0072] To ensure authenticity and timeliness, the specific data processing rules for each port are as follows: Different ports are equipped with dedicated data upload standards, review mechanisms, and update trigger rules to ensure that only real and valid data are updated, preventing invalid data from consuming computing power. At the same time, the timeliness of each step is clearly defined to guarantee timely updates. 1. Management Portal (Exclusively for the Relevant Authorities) Data processing: Uploaded data is legally verified data (such as inspection reports, structural testing reports, and planning adjustment documents), and comes with the electronic seal of the competent authority, eliminating the need for manual review. After the system automatically verifies the data format (such as coordinates and parameter units), it directly triggers model updates.

[0073] Update timeframe: Within 30 minutes of passing the format verification, the parameters of the corresponding modeling layer will be updated and the spatial information synchronized.

[0074] 2. Dedicated port (for enterprises in industrial areas) Data processing: The uploaded data is the enterprise's original production and operation data (such as equipment running time, plant energy consumption data, and structural inspection records). The system first compares it with the baseline data collected in the early stage, filters out abnormal values ​​(such as energy consumption data that obviously exceeds the reasonable range), and then pushes it to the management port for simple review (the competent department only conducts random checks, and the review rate is 30%).

[0075] Update timeliness: After data filtering is passed, the model update will be completed within 2 hours if no abnormalities are found during random checks; if abnormalities are found during random checks, the update will be completed within 1 hour after feedback to the enterprise for correction.

[0076] 3. Designated ports (specific to property management and fire safety in older residential areas) Data processing: The uploaded data is public area operation and maintenance data (such as elevator energy consumption, street light operation status, and fire protection facility inspection records). The system automatically matches it with equipment ledger data to verify the authenticity of the data. No review by the competent department is required. Only data records are retained for subsequent traceability.

[0077] Update timeframe: The parameters of the community public facilities modeling layer will be updated within 1 hour after the data matching and verification are passed.

[0078] 4. Differentiated design and unified processing flow for common ports (web pages and mobile apps) For the web-based and mobile app versions used by residents, a design principle of different interface adaptations, unified data collection, and synchronized review and updates is adopted. This ensures both ease of use for residents and, through standardized review and update rules, guarantees authenticity and timeliness while controlling data volume. Strict adherence to the requirement of a review time of ≤24 hours and updates within 1 hour of review approval is maintained. Specifically: First, the interface and functions of the web version and the mobile app version are adapted (to fit the usage scenario). (1) Public port on web page Suitable scenarios: Residents operate on their computers, suitable for uploading detailed feedback data with attachments (such as photos and videos of abnormal energy consumption in the house, or detailed descriptions of damage to public facilities).

[0079] Functional Design: The interface features a minimalist form-based design with only five core modules: "Feedback Area, Problem Type, Data Description, Attachment Upload, and Submit". It supports batch uploading of multiple images and short videos and automatically locates the resident's building and unit (based on the property information of the registered account).

[0080] (2) Public port of mobile APP Suitable scenarios: Residents can quickly provide feedback on their mobile scenarios, and it is suitable for uploading short and immediate problem data (such as broken corridor lights, abnormal elevator energy consumption, and water pipe leaks).

[0081] Functional Design: One-click feedback function supports quick upload of photos and short videos, automatically obtains mobile phone location to match specific location, and the problem type is selected by drop-down menu (such as "energy consumption problem", "facility damage" and "planning suggestion"). There is no need to manually enter a lot of text, and submission can be completed within 30 seconds.

[0082] Second, the unified data processing and model update process for public ports. Feedback data from both the web page and the app is collected in real time into the system's dedicated resident data database, and is uniformly reviewed by designated personnel from the relevant department, adhering to fixed time-sensitive rules throughout the process. Specific steps include: The first step is data collection: The system automatically categorizes the data from both ends into layers of "community-building-unit-house" and eliminates duplicate submissions (based on mobile phone number or property information) to reduce the amount of data to be reviewed; The second step is manual review: the competent department's reviewers will complete the data review within 24 hours, only verifying the authenticity of the data and its relevance to energy-saving renovation and model updates. False or irrelevant feedback will be rejected directly, and the specific reasons for rejection will be communicated to residents through the original portal (such as "the feedback issue is not related to energy consumption and will not be included in the model update for the time being" or "the photo is not clearly displayed and needs to be supplemented and uploaded"). The third step is model update: Once the data passes the review, the system automatically matches it to the corresponding old community modeling layer according to the feedback content (e.g., data inside residential buildings is matched to the building unit layer, and corridor lighting issues are matched to the public facilities layer), and completes the update of corresponding parameters and model rendering within 1 hour. The fourth step is results feedback: After the model update is completed, the results of "data has been included in the model update" will be synchronized with the residents through web page message reminders and APP push notifications to enhance residents' participation.

[0083] This invention, through specific settings for data updates at each of the aforementioned ports, effectively reduces the amount of core data required for differentiated updates while ensuring update efficiency. Firstly, it controls the data volume at the source, configuring only necessary ports for each scenario, eliminating redundant ports that generate invalid data; the frequency is matched to the rate of data change in each scenario, avoiding frequent updates of non-core data and fundamentally reducing the total amount of updated data. Secondly, it employs layered processing: data from different ports is reviewed in layers of tiers—no review required, simplified review required, and full review required—reducing manual review workload, improving processing efficiency, and ensuring data authenticity. Thirdly, it features intelligent filtering: the system automatically filters outliers and duplicate data, incorporating only valid data into model updates, preventing invalid data from consuming computing power and update time. Finally, it ensures port adaptation: public ports are designed with differentiated interfaces based on webpage and app usage scenarios, lowering the operational threshold for residents while unifying data processing rules to guarantee review and update efficiency, balancing participation and data quality.

[0084] Through the above design, the data volume of digital twin model updates at each level can be accurately controlled, the data is authentic and valid, and the updates are timely and efficient. At the same time, the integrated system of BIM building information model and GIS geographic information system only needs to synchronize the valid data after review at each port, without processing redundant data, which greatly reduces the system response time and improves the efficiency of data sharing.

[0085] S4, the energy-saving assessment module, is based on a dynamically updated hierarchical digital twin model to identify weak links in energy conservation in urban renewal areas and quantify energy-saving potential. In step S4, the specific working logic of the energy-saving assessment module is as follows: First, extract full-dimensional data of building energy consumption components from the dynamically updated hierarchical digital twin model, including core parameters such as pipeline thermal conductivity, air conditioning energy efficiency ratio, wall insulation coefficient, and lighting equipment power. Secondly, based on the type of urban renewal scenario, the corresponding national and industry energy-saving renovation standard system is matched. Then, combined with urban and rural planning requirements, building structural characteristics and regional energy utilization planning, the exclusive energy-saving standard thresholds for energy-consuming components in each scenario are determined. Among them, the historical block scenario matches the energy-saving renovation standard for cultural relics buildings, the old residential area scenario matches the energy-saving design standard for the renovation of old urban residential areas, and the industrial heritage scenario matches the energy-saving renovation standard for industrial buildings. Then, the core parameters of the extracted energy-consuming components are compared with the exclusive energy-saving standard thresholds for each scenario one by one, and the components whose parameters exceed the threshold are marked as weak links in energy saving. Finally, based on the parameter deviation values ​​of the weak links in energy conservation, combined with the actual usable area of ​​the building, the average daily operating time of energy-consuming equipment, and the local energy pricing standards, the energy conservation potential of a single weak link and the overall energy conservation potential of the urban renewal area are quantified through energy consumption simulation algorithms. At the same time, the energy conservation efficiency / renovation cost ratio of each weak link is calculated, and the renovation priority of each weak link is output according to the ratio from high to low.

[0086] The specific working process of the energy-saving assessment module is as follows: First, extract core parameters: From the dynamically updated hierarchical digital twin model, accurately extract 10 full-dimensional core parameters of building energy consumption components (consistent with the unified data items of the BIM building information model and GIS geographic information system), including: spatial coordinates, building usable area, pipe network thermal conductivity, wall insulation coefficient, air conditioning energy efficiency ratio, lighting equipment power, equipment operating time, water supply and drainage pipe network diameter, planning protection red line, and regional energy type. All parameters are in a unified unit (e.g., thermal conductivity unit W / (m²)). K), power unit W), to form a standardized parameter dataset.

[0087] Then, determine the specific threshold: Step 1: Match legal regulations according to the scenario and clarify the source of the basic threshold: Historic districts: In accordance with the "Technical Specification for Energy-Saving Renovation of Cultural Relics Buildings" (GB / T50314-2015) and local regulations for the protection of historical buildings; Old residential communities: Compliant with the energy-saving design chapter of the "Technical Standard for Renovation of Old Urban Residential Communities" (CJJ / T302-2023); Industrial heritage: Matches the "Energy Efficiency Assessment Standard for Energy-Saving Retrofitting of Industrial Buildings" (GB / T51366-2019).

[0088] Step Two: Multi-dimensional Threshold Calibration: Combining "energy consumption control indicators" in urban and rural planning (such as the annual per capita energy consumption limit for a region), building structural characteristics (such as relaxing the threshold for non-removable components of historical buildings by 20%), and regional energy utilization planning (such as increasing the equipment energy efficiency ratio threshold by 10% in areas with a high proportion of new energy sources), specific energy-saving standard thresholds for each scenario are ultimately formed (such as the energy efficiency ratio threshold for inverter air conditioners in old residential areas ≥ 4.0, and the thermal conductivity threshold for industrial heritage pipeline networks ≤ 0.035 W / (m²)). K).

[0089] Step 3: Threshold Comparison: Compare each parameter in the standardized parameter dataset with the specific threshold, and mark components whose "parameter value exceeds the upper limit of the threshold" or "below the lower limit of the threshold" as weak links in energy saving (e.g., the thermal conductivity of the pipeline network is 0.05W / (m²)). K) > Historic District Threshold 0.04W / (m K), marking the pipeline network as a weak link).

[0090] Next, energy-saving potential is quantified and prioritized: Step 1: Data preparation: Collect the actual usable area of ​​the building (from the model attribute library), the average daily operating time of energy-consuming equipment (from the updated data of various ports, taking the average of the past 30 days), and the local energy pricing standards in the region (connected to the real-time electricity and gas prices published by the local competent authorities).

[0091] Step 2: Quantification of energy-saving potential in a single link: Calculated using an energy consumption simulation algorithm (adopting the industry-standard DeST energy consumption simulation core logic). Example formula: Annual energy-saving potential of a single link (kWh) = (parameter deviation value / standard threshold) × equipment power (kW) × average daily running time (h) × 365 days; At the same time, the renovation cost of a single link is calculated (refer to the industry quota standard + regional market price, such as calculating the external wall insulation renovation at 80 yuan / ㎡).

[0092] Step 3: Quantify the overall energy-saving potential: Summarize the energy-saving potential of all individual links, and add the regional energy substitution benefits (such as the additional energy saving of photovoltaic transformation) to obtain the overall annual energy-saving potential of the urban renewal area.

[0093] Step 4: Prioritize the renovation: Calculate the "energy efficiency / renovation cost ratio" of each weak link (energy efficiency = annual energy saving potential of a single link × energy unit price, unit: yuan / year; renovation cost unit: yuan), sort them from high to low according to the ratio (e.g., the ratio of "replacing energy-saving lamps" is 1.2 > the ratio of "external wall insulation renovation" is 0.8, so lamp replacement should be promoted first), and output the priority list.

[0094] S5. The scheme generation module generates personalized and precise renovation schemes based on weak links and energy-saving potential, combined with urban and rural planning requirements. The specific working process of the solution generation module is as follows: First, the basic inputs for generating the scheme are: a list of weak links in energy conservation (including component locations and parameter deviations), energy-saving potential data for single links / the whole, a list of renovation priorities, unified data items of BIM building information model and GIS geographic information system, and urban and rural planning constraints (planning protection red line, energy consumption control indicators, and building style requirements).

[0095] Scenario-based transformation solution library construction (can be directly called): Based on three scenarios—historical districts, old residential communities, and industrial heritage sites—a standardized renovation plan template library is pre-set. Each template clearly specifies the applicable weaknesses, renovation technologies, material selection, construction techniques, cost range, and energy-saving benefits. For example: Template for "weak pipe network insulation" in historical districts: Flexible insulation material (without damaging the building structure), partial wrapping construction, cost 120 yuan / m, energy-saving benefits improved by 30%; Template for "Excessive Lighting Power" in Old Residential Communities: Replace with LED energy-saving lamps (power ≤ 8W / ㎡), centralized wiring construction, cost 50 yuan / lamp, energy-saving efficiency improved by 60%; Template for "insufficient wall insulation" in industrial heritage: exterior wall spray insulation layer (5cm thick), supporting structural reinforcement, cost 90 yuan / ㎡, energy saving efficiency improved by 45%.

[0096] Next, we will customize a personalized solution: Step 1: Adapting to Constraints: Based on the planning protection red line, eliminate the schemes for "areas that cannot be modified" (such as directly excluding the schemes for the renovation of the exterior of historical buildings); adjust the details of the schemes in combination with the structural characteristics of the building itself (such as giving priority to "scaffold-free exterior wall insulation construction" for high-rise buildings in old residential areas).

[0097] Step 2: Priority matching: According to the renovation priority list, prioritize the renovation plans for high-priority weak links, while also taking into account the relevance of the plans (such as "pipeline renovation" and "equipment replacement" to be carried out simultaneously to avoid duplication of construction).

[0098] Step 3: Multiple Solution Generation: For core weak links, generate 2-3 differentiated solutions (e.g., for exterior wall insulation renovation, provide two solutions: "spray insulation" and "insulation board pasting"). Each solution should specify: ① Scope of renovation (including specific component locations and quantities); ② Technical parameters (e.g., material thermal conductivity, equipment energy efficiency ratio); ③ Implementation steps (phased construction plan); ④ Cost budget (itemized costs and total cost); ⑤ Expected energy-saving benefits (energy-saving potential of individual links and overall contribution ratio); ⑥ Compliance statement (compliance with planning regulations and energy-saving standards).

[0099] Finally, the solution is reviewed and output: After the solution is generated, it is automatically connected to the management port for compliance review (the competent department completes the review within 24 hours). After the review is approved, standardized solution documents (including text description, BIM model visualization solution, and construction drawing thumbnails) are output.

[0100] S6. Display hierarchical digital twin models and personalized, precise transformation solutions through a visual interactive module, receive user feedback, and optimize the transformation solutions.

[0101] The specific working process of the visual interaction module is as follows: First, multiple display formats (adapting to different user needs): On the competent authority's end (PC): It displays the complete hierarchical digital twin model and details of the transformation plan, supports viewing "model comparison" (overlay display of energy consumption data before and after transformation), "cost-benefit analysis charts", and "compliance verification reports", and can export plan files for approval.

[0102] For businesses and property management companies (PC and mobile): Display the scope of renovations relevant to themselves (such as renovations of their own factory areas or renovations of public facilities under the responsibility of the property management company), construction coordination requirements, progress milestones, and expected changes in energy consumption. Support online confirmation of the plan.

[0103] Resident-facing (web and mobile app): A minimalist visual display, including: ① The parts of the building and apartment to be renovated (with graphic and text labels, such as "Your building's hallway lights will be replaced with LED energy-saving lights"); ② Changes in the living experience before and after the renovation (such as "Indoor temperature increases by 3°C, and annual electricity bills are reduced by approximately 200 yuan"); ③ Schematic diagram of the plan (simplified 3D model); ④ Feedback portal (one-click submission of opinions).

[0104] Then, collect feedback through multiple channels (clearly defining feedback types and processing timelines): Limited feedback channels: The relevant authorities, property management companies, and enterprises should submit "modification suggestions" (including text descriptions and modification annotations) through their respective dedicated ports, including the management port, the responsible port, and the special port. Residents can provide feedback via a web form or mobile app on the public portal. The form supports three options: "Agree", "Disagree", and "Suggest modification". If they disagree, they need to fill in the reason (such as "construction affects living conditions"). If they suggest modification, they can upload pictures to indicate it.

[0105] Feedback processing time: The system automatically collects all feedback, categorizes and organizes it within 24 hours (such as "technical feasibility issues", "cost objections", "construction impact requests"), and pushes it to the solution generation module.

[0106] Next, the optimization and closed-loop design of the solution are specified: Step 1: Optimization Assessment: The solution generation module, based on feedback, assesses whether adjustments to the solution are necessary: ​​① Technical feasibility issues (e.g., residents report that a certain construction method is not feasible): Replace with suitable renovation technology (e.g., change "external wall insulation" to "internal wall insulation"); ② Cost objections (e.g., the company believes the renovation cost is too high): Adjust material selection (select more cost-effective insulation materials) and recalculate costs; ③ Construction impact concerns (e.g., residents worry about noise): Optimize the construction plan (avoid construction at night and on holidays).

[0107] Step 2: Solution Update: The optimized solution will be re-submitted for compliance review. Once approved, the visualization of the renovation solution in the digital twin model will be updated and pushed to all platforms to inform users of the optimization results (e.g., an app push notification saying "The construction noise issue you reported has been resolved, and construction will be adjusted to weekdays from 9:00 to 17:00").

[0108] Step 3: Final Confirmation: After all users have no objections, the plan is locked and a "Construction Execution Version Plan Document" is generated. This document is then pushed to the construction unit's portal to initiate the renovation implementation.

[0109] Compared to conventional techniques in this field, which employ single-precision digital twin modeling and rely solely on sensors for data collection and model updates, simply combining digital twin technology with architectural engineering without considering cross-disciplinary integration with urban and rural planning or establishing channels for public participation, this invention adopts hierarchical modeling and component-based design. It integrates urban and rural planning, BIM (Building Information Modeling), and GIS (Geographic Information System) technologies, establishing a multi-subject, multi-port, and differentiated frequency process data input mechanism. It incorporates residents into the model update and solution feedback system, achieving deep integration of digital twin technology with urban and rural planning and public participation. This invention overcomes the technical limitations of conventional techniques, designing a technical solution based on the overall planning of urban renewal and the needs of multiple stakeholders. Compared to conventional techniques, its scenario adaptability, planning integration, and model dynamism are significantly improved, while reducing system development and maintenance costs and increasing public participation. This makes urban renewal energy-saving assessments and renovations more scientific, accurate, and aligned with actual needs, solving core problems that conventional techniques cannot address, such as the imbalance between modeling accuracy and computing power costs, the disconnect between the model and planning, and the lack of synchronization with real-world scenarios.

[0110] The above descriptions are merely embodiments of the present invention, and common knowledge such as specific technical solutions and / or characteristics are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the technical solutions of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A digital twin-enabled urban renewal energy-saving assessment and precise renovation system, characterized in that: include: The data acquisition module is used to collect multi-source data from urban renewal areas; The model building module integrates urban and rural planning, BIM building information modeling and GIS geographic information system technology to build a hierarchical digital twin model for multiple urban renewal scenarios. The hierarchical digital twin model is divided into the following layers according to urban renewal scenarios: the modeling layer of energy consumption of public facilities in old residential areas, the modeling layer of energy consumption core of architectural style protection in historical blocks, and the modeling layer of structural safety and energy-saving renovation of industrial heritage factory buildings. The model update module is configured with multiple subject data input ports to receive process data and dynamically update the hierarchical digital twin model. The energy-saving assessment module identifies weak points in energy conservation and quantifies energy-saving potential based on a hierarchical digital twin model. The solution generation module generates personalized and precise renovation solutions based on the energy-saving assessment results. The visualization and interaction module is used for the visualization of hierarchical digital twin models and transformation solutions.

2. The system according to claim 1, characterized in that, The model building module adopts a component-based design, which breaks down the modeling module into general components and scene-customized components. The general components are energy consumption data acquisition components, and the scene-customized components include historical building style protection components, old community public facility adaptation components, and industrial heritage structure safety monitoring components. Multiple scenes can be quickly adapted by splicing the components.

3. The system according to claim 1, characterized in that, The multi-entity data input ports of the model update module include a management port, a sub-management port, and a public port. The public port is in the form of a webpage or a mobile APP. Residents submit update data through the public port after registering an account, and the model update is completed after being reviewed by the management personnel at the management port.

4. The system according to claim 1, characterized in that, The model update module sets different input frequencies for process data for different modeling layers. The input frequency for the core modeling layer of energy consumption protection of historical blocks is once a month, the input frequency for the modeling layer of energy consumption of public facilities of old residential buildings is twice a week, and the input frequency for the modeling layer of structural safety and energy-saving renovation of industrial heritage factory buildings is once a day.

5. The system according to claim 1, characterized in that, The model building module is configured to: embed the historical and cultural heritage protection red line and urban and rural planning requirements for the spatial layout of urban-rural integration into the GIS layer, and perform macro-spatial geographic modeling of the urban renewal area based on the GIS layer; at the same time, perform detailed modeling of energy-consuming components, including internal pipe networks, air conditioning, and walls, based on BIM; and integrate the BIM model with the GIS layer through a unified spatial coordinate system.

6. A digital twin-enabled method for energy-saving assessment and precise renovation of urban renewal, characterized in that... The digital twin-enabled urban renewal energy-saving assessment and precise renovation system applied to any one of claims 1-5 includes the following steps: S1. Collect UAV mapping data, IoT sensor data, building archive data and urban and rural planning data in urban renewal areas through the data acquisition module; S2, the model building module is based on the principles of urban and rural planning and the integrated technology of BIM building information modeling and GIS geographic information system. It builds corresponding hierarchical digital twin models for three types of scenarios: old residential areas, historical blocks and industrial heritage. The modeling module is assembled by a modular splicing method of general components and scene-customized components. S3. The model update module receives process data through the multi-subject data input port and dynamically updates the hierarchical digital twin model according to the frequency of differentiated inputs. S4, the energy-saving assessment module, is based on a dynamically updated hierarchical digital twin model to identify weak links in energy conservation in urban renewal areas and quantify energy-saving potential. S5. The scheme generation module generates personalized and precise renovation schemes based on weak links and energy-saving potential, combined with urban and rural planning requirements. S6. Display hierarchical digital twin models and personalized, precise transformation solutions through a visual interactive module, receive user feedback, and optimize the transformation solutions.

7. The method according to claim 6, characterized in that, In step S2, the core modeling layer for the energy consumption of historical building style protection only performs detailed modeling of the internal pipe network and equipment of the building, while the exterior of the building is modeled in a lightweight manner at a scale of 1:50; the modeling layer for the energy consumption of public facilities of old residential buildings performs detailed modeling of the building as a whole and public facilities at a scale of 1:10; and the modeling layer for the structural safety and energy-saving renovation of industrial heritage factory buildings performs detailed modeling of the factory building structure and energy-saving renovation parts at a scale of 1:

20.

8. The method according to claim 6, characterized in that, In step S3, the core modeling layer for the energy consumption of historical building style protection only receives inspection process data from the competent department through the management port; the modeling layer for the structural safety and energy-saving renovation of industrial heritage factory buildings receives inspection data from the competent department through the management port and usage process data from enterprises through a dedicated port; the modeling layer for the energy consumption of public facilities in old residential areas receives data from the competent department through the management port, operation and maintenance data from fire protection and property management through the management port, and feedback data from residents through the public port.

9. The method according to claim 6, characterized in that, In step S3, the review time for resident update data on the public port shall not exceed 24 hours. Data that passes the review shall be updated to the hierarchical digital twin model within 1 hour. Data that fails the review shall be fed back to the residents with specific reasons.

10. The method according to claim 6, characterized in that, In step S4, the specific working logic of the energy-saving assessment module is as follows: First, extract full-dimensional data of building energy consumption components from the dynamically updated hierarchical digital twin model, including core parameters such as pipeline thermal conductivity, air conditioning energy efficiency ratio, wall insulation coefficient, and lighting equipment power. Secondly, based on the type of urban renewal scenario, the corresponding national and industry energy-saving renovation standard system is matched. Then, combined with urban and rural planning requirements, building structural characteristics and regional energy utilization planning, the exclusive energy-saving standard thresholds for energy-consuming components in each scenario are determined. Among them, the historical block scenario matches the energy-saving renovation standard for cultural relics buildings, the old residential area scenario matches the energy-saving design standard for the renovation of old urban residential areas, and the industrial heritage scenario matches the energy-saving renovation standard for industrial buildings. Then, the core parameters of the extracted energy-consuming components are compared with the exclusive energy-saving standard thresholds for each scenario one by one, and the components whose parameters exceed the threshold are marked as weak links in energy saving. Finally, based on the parameter deviation values ​​of the weak links in energy conservation, combined with the actual usable area of ​​the building, the average daily operating time of energy-consuming equipment, and the local energy pricing standards, the energy conservation potential of a single weak link and the overall energy conservation potential of the urban renewal area are quantified through energy consumption simulation algorithms. At the same time, the energy conservation efficiency / renovation cost ratio of each weak link is calculated, and the renovation priority of each weak link is output according to the ratio from high to low.

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