Building engineering digital modeling method and system based on digital twinning

Abstract

The invention relates to the technical field of digital twinning, and discloses a digital building engineering modeling method and system based on digital twinning, and the method comprises the steps: collecting geometric data information, energy consumption data and environment data information of building engineering; after geometric data information of the building is collected, filtering processing is conducted in an optimal neighborhood filtering mode, a geometric model of the building engineering is established, and a digital model of the building engineering is established according to the geometric model of the building engineering in combination with energy consumption data and environment data information; according to the building engineering digital model, when building engineering numbers are established, geometric data of the building engineering, the external environment where the building engineering is located and energy consumption data during building and using of the building engineering are adopted, and the finally established building engineering digital model can express the conditions of the building engineering more accurately and completely; the construction engineering can be managed conveniently, and problems of the construction engineering can be found in time.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and more specifically to a digital modeling method and system for construction engineering based on digital twin. Background Art

[0002] Digital twins make full use of data such as physical models, sensors, and operation history, integrate multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes, and complete mapping in virtual space to reflect the entire life cycle of the corresponding physical equipment. Digital twins are a concept that transcends reality and can be regarded as a digital mapping system of one or more important, interdependent equipment systems.

[0003] Through the digital twin model, possible problems in construction projects can be predicted and evaluated, and optimization adjustments can be made to ensure the safety and stability of construction projects. With the rapid development of digital technology, the digital twin model has gradually become an emerging technology in the field of construction engineering, providing new solutions for simulating and optimizing complex engineering processes.

[0004] Nowadays, when establishing a digital model of a construction project, the on-site data of the construction project is generally collected to complete the establishment of the digital model of the construction project. However, the digital model of the construction project established in this way is not comprehensive enough. It only includes the construction project itself, and cannot take into account the environment in which the construction project itself is located and the overall construction process. The digital model of the construction project finally established cannot accurately express the construction project itself. Therefore, there is an urgent need for a digital twin construction project digital modeling method and system. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the implementation regulations of the present invention provide a digital modeling method and system for construction projects based on digital twins to solve the technical problems raised in the background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a digital modeling method for construction engineering based on digital twin, comprising the following steps:

[0007] Step S1, collecting geometric data information, energy consumption data and environmental data information of the construction project;

[0008] Step S2: After the geometric data information of the building is collected, it is filtered using the optimal neighborhood filtering method to establish a geometric model of the building project;

[0009] Step S3: Establishing a digital model of the construction project based on the geometric model of the construction project and combining energy consumption data and environmental data information;

[0010] Step S4, calculating the environment value H for the light intensity data information GX, air quality data KQ and noise data ZS in the on-site environment of the construction project;

[0011] Step S5: When the environmental value H is a negative number, zero, or the environmental value H is less than the environmental threshold value Y, go to the construction site for processing.

[0012] A digital modeling system for construction projects based on digital twins includes a building collection unit, an energy consumption collection unit, an environment collection unit, a geometry unit, a model unit, a central unit, a monitoring unit and a processing unit. The building collection unit collects geometry data information of the building, the energy consumption collection unit collects energy consumption data information of the building, the environment collection unit collects environment data information of the building, the geometry unit receives the geometry data information of the building and establishes a geometry model of the building, the central unit receives data in the energy consumption collection unit and the environment collection unit and calculates an environment value H, a construction loss value J and a usage value SY, the model unit receives data in the building collection unit, the energy consumption collection unit, the environment collection unit and the central unit and establishes a digital model of the construction project, the monitoring unit receives the environment value H calculated by the central unit, compares it with its internal threshold value Y and then sends a danger instruction, and the processing unit receives the danger instruction sent by the monitoring unit and processes it at the construction project site.

[0013] In a preferred embodiment, the building acquisition unit includes a document module and a field module, the document module receives the construction data of the construction project, the field module performs field acquisition at the location of the construction project, the building acquisition unit sends all the collected information to the geometry unit, the geometry unit receives the data collected by the building acquisition unit, and the geometry unit uses the data in the document module as the internal geometry data of the construction project and the data collected by the field module as the external geometry data of the construction project to establish a geometric model of the construction project.

[0014] In a preferred embodiment, the field module uses a drone to perform three-dimensional laser scanning of the construction project to obtain laser point cloud data, and the field module sends the collected data to the filtering unit, and the filtering unit uses the best neighborhood filtering method to filter the laser point cloud data. The filtering formula of the best neighborhood filtering is: Where i and j are the coordinate values ​​of the processing point in the neighborhood, m is the neighborhood range, G is the Gaussian kernel function, and t i is the Euclidean distance between the laser point cloud data and the neighborhood points, h is the projection of the vector on the normal direction of the point to be processed, τ is the angle between the normal vector of the processing point and the normal vector of the neighborhood point, r is the weighting factor, and α is the filtered data.

[0015] In a preferred embodiment, the environment acquisition unit collects light intensity data information GX, air quality data KQ and noise data ZS in the construction project, and the environment acquisition unit sends the collected data to the model unit and the central unit. The central unit receives the data collected by the environment acquisition unit and calculates the environment value H. The calculation formula of the environment value H is: Where sgn is the rounding function, BZ is the standard air pollution value, n is the total number of light intensity tests in one day, GX o is the light intensity data during the o-th detection. The central unit sends the calculated environment value H to the processing and monitoring unit.

[0016] In a preferred embodiment, the monitoring unit receives an environmental value H, and when the environmental value H received by the monitoring unit is a negative number or zero, the monitoring unit sends a danger instruction to the processing unit. When the environmental value H received by the monitoring unit is a positive number, the environmental unit compares the calculated environmental value H with its internal environmental threshold value Y. When the environmental value H≥environmental threshold value Y, the monitoring unit sends a danger instruction to the processing unit. When the environmental value H<environmental threshold value Y, the monitoring unit does not send an instruction. The processing unit receives the danger instruction and goes to the construction site to handle the problem.

[0017] In a preferred embodiment, the energy consumption collection unit includes a construction module and a use module. The construction module collects energy consumption data YS of material transportation during construction, energy consumption data JG during processing, and energy consumption data SG during construction. The construction module sends the collected data to the central unit and the model unit. The central unit receives the data collected by the construction module and calculates the construction loss value JS. The calculation formula of the construction loss value J is: NY is the total energy consumption of the entire construction of the building project, and the central unit sends the calculated construction value JS to the model unit.

[0018] In a preferred embodiment, the usage module collects the energy consumption data of the building project when it is used after completion, and the energy consumption data includes lighting energy consumption data DQ, temperature control energy consumption data WK, water source energy consumption data SY and lifting energy consumption data SJ. The usage module sends the collected energy consumption data to the model unit and the central unit. The central unit receives the energy consumption data and calculates the usage value SY. The calculation formula of the usage value SY is: Wherein k1 and k2 are weights, and the central unit sends the calculated usage value SY to the model unit.

[0019] In a preferred embodiment, the model unit receives the geometric model data in the geometric unit and constructs a digital model of the building entity of the construction project. The geometric model of the model unit is mapped to the digital twin space to obtain a digital object. The model unit adopts a multi-source heterogeneous data collection method of a cloud-edge-end collaborative architecture to receive data from an energy consumption collection unit, an environment collection unit and a central unit, and uses interconnected control data to describe the digital object based on a semantic description model to obtain physical expression data. The physical expression data is used to map the behavior of the twin model to construct a digital model of the construction project.

[0020] In a preferred embodiment, the model unit includes geometric model data, environmental data and energy consumption data of the construction project, and the environmental data and energy consumption data in the model unit are updated once a day. After the geometric model data in the construction project is fully collected, the data is updated once a year.

[0021] Technical effects and advantages of the present invention:

[0022] 1. When establishing the digital model of a construction project, the geometric data of the construction project itself, the external environment in which the construction project is located, and the energy consumption data during the establishment and use of the construction project are all adopted. The digital model of the construction project finally established can more accurately and completely express the situation of the construction project itself, facilitate the management of the construction project, and can promptly discover problems in the construction project;

[0023] 2. When the geometric model of the construction project is established, the internal dimension data of the construction project is retrieved through the document module, and the external dimension data is obtained by three-dimensional laser detection. When the laser point cloud data is obtained by three-dimensional laser scanning, the laser point cloud data is filtered by the optimal neighborhood filtering method, so that the final laser point cloud data is more accurate, thereby improving the accuracy of the established geometric model;

[0024] 3. The present invention collects light intensity data information GX, air quality data KQ and noise data ZS. The calculated environment value H can accurately measure the environment of the standard construction project itself. When sgn outputs a negative number or 0, it means that the air is lower than the standard air at this time, which will cause adverse effects on the body. A danger instruction is directly sent to check on site. When the environment value H≥environmental threshold Y, it means that there is a problem with the environment of the construction project at this time, and it should be dealt with in time;

[0025] 4. The present invention collects energy consumption during the construction and use stages by setting up a construction module and a use module, and predicts the construction results of the construction project. When the module is used to collect energy consumption, the use of the building can be understood, and when it is found that the energy consumption is high, it can be adjusted in time to make it more green and environmentally friendly. The collection of lighting energy consumption data DQ, temperature control energy consumption data WK, water source energy consumption data SY and lifting energy consumption data SJ can fully understand the use of the construction project itself. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the modeling method flow of the present invention.

[0027] Figure 2 It is a schematic diagram of the modeling system composition of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The digital modeling method and system for construction projects based on digital twins involved in the present invention are not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0029] Reference Figure 1 The present invention provides a digital modeling method for construction engineering based on digital twins; the method comprises the following steps:

[0030] Step S1, collecting geometric data information, energy consumption data and environmental data information of the construction project;

[0031] Step S2: After the geometric data information of the building is collected, it is filtered using the optimal neighborhood filtering method to establish a geometric model of the building project;

[0032] Step S3: Establishing a digital model of the construction project based on the geometric model of the construction project and combining energy consumption data and environmental data information;

[0033] Step S4, calculating the environment value H for the light intensity data information GX, air quality data KQ and noise data ZS in the on-site environment of the construction project;

[0034] Step S5: When the environmental value H is a negative number, zero, or the environmental value H is less than the environmental threshold value Y, go to the construction site for processing.

[0035] When establishing the digital model of a construction project, the present application adopts the geometric data of the construction project itself, the external environment in which the construction project is located, and the energy consumption data during the construction and use of the construction project. The digital model of the construction project finally established can more accurately and completely express the situation of the construction project itself, facilitate the management of the construction project, and be able to promptly discover problems in the construction project.

[0036] Reference Figure 2 A digital modeling system for construction projects based on digital twins includes a building collection unit, an energy consumption collection unit, an environment collection unit, a geometry unit, a model unit, a central unit and a processing unit. The building collection unit collects geometry data information of the building, the energy consumption collection unit collects energy consumption data information of the building, the environment collection unit collects environment data information of the building, the geometry unit receives the geometry data information of the building and establishes a geometry model of the building, the central unit receives data in the energy consumption collection unit and the environment collection unit and calculates an environment value H, a construction loss value J and a usage value SY, the model unit receives data in the building collection unit, the energy consumption collection unit, the environment collection unit and the central unit and establishes a digital model of the construction project, the monitoring unit receives the environment value H calculated by the central unit, compares it with its internal threshold value Y and then sends a danger instruction, and the processing unit receives the danger instruction sent by the monitoring unit and processes it at the construction project site.

[0037] In the embodiments of the present application, the digital model of the construction project established by the present application can take into account the construction project itself, the environment in which it is located, and the data during the establishment process and the use process. The digital model finally established is more comprehensive, which can avoid the problem of not being able to accurately understand the construction project due to insufficient data. Therefore, when problems arise in the construction project, they can be dealt with in a timely manner, and the management process is more comprehensive.

[0038] Reference Figure 2 The building acquisition unit includes a document module and a field module. The document module receives the construction data of the building project. The field module performs field acquisition at the location of the building project. The building acquisition unit sends all the collected information to the geometry unit. The geometry unit receives the data collected by the building acquisition unit, and the geometry unit uses the data in the document module as the internal geometry data of the building project and the data collected by the field module as the external geometry data of the building project to establish a geometry model of the building project. The field module uses a drone to perform three-dimensional laser scanning of the building project to obtain laser point cloud data, and the field module sends the collected data to the filtering unit. The filtering unit uses the optimal neighborhood filtering method to perform laser point cloud data filtering processing. The filtering formula of the optimal neighborhood filtering is: Where i and j are the coordinate values ​​of the processing point in the neighborhood, m is the neighborhood range, G is the Gaussian kernel function, and t i is the Euclidean distance between the laser point cloud data and the neighborhood points, h is the projection of the vector on the normal direction of the point to be processed, τ is the angle between the normal vector of the processing point and the normal vector of the neighborhood point, r is the weighting factor, and α is the filtered data.

[0039] In an embodiment of the present application, when the geometric model of a construction project is being established, the internal dimensional data of the construction project will be recorded after the construction is completed. Therefore, the record can be directly retrieved through the document module, and the external dimensional data is acquired by three-dimensional laser detection. In addition, when the laser point cloud data is obtained through three-dimensional laser scanning, since the various building surfaces of the construction project are relatively complex and easily affected by the adjacent buildings themselves, the laser point cloud data is filtered by optimal neighborhood filtering, which can better remove the influence of the surrounding environment, making the final laser point cloud data more accurate, thereby improving the accuracy of the established geometric model.

[0040] Furthermore, the environment acquisition unit collects light intensity data information GX, air quality data KQ and noise data ZS in the construction project, and the environment acquisition unit sends the collected data to the model unit and the central unit. The central unit receives the data collected by the environment acquisition unit and calculates the environment value H. The calculation formula of the environment value H is: Where sgn is the rounding function, BZ is the standard air pollution value, n is the total number of light intensity tests in one day, GX o The light intensity data for the oth detection is the central unit that sends the calculated environment value H to the processing and monitoring unit. The monitoring unit receives the environment value H. When the environment value H received by the monitoring unit is negative or zero, the monitoring unit sends a danger instruction to the processing unit. When the environment value H received by the monitoring unit is positive, the environment unit compares the calculated environment value H with its internal environment threshold value Y. When the environment value H≥environmental threshold value Y, the monitoring unit sends a danger instruction to the processing unit. When the environment value H<environmental threshold value Y, the monitoring unit does not send an instruction. The processing unit receives the danger instruction and goes to the construction site to handle the problem.

[0041] In the embodiment of the present application, when collecting environmental data, the present application collects light intensity data information GX, air quality data KQ and noise data ZS. This is because these three types of data will have a greater impact on the building itself. When the light is insufficient, it will directly affect the living experience, and insufficient light will increase the possibility of mold in the building. The air will represent the comfortable experience in the building, and the noise will also affect the state during work and rest. Therefore, the environmental value H calculated by the present application can accurately standardize the environment of the building project itself. Sgn is a rounding function, so when a positive number is input, 1 is output, when 0 is input, 0 is output, and when a negative number is input, a negative number is output. When Sgn outputs a negative number and 0, it indicates that the air is lower than the standard air at this time, so it will have an adverse effect on the body, and a danger instruction will be directly sent to the site for inspection. When Sgn outputs a positive number, the environment of the building project is comprehensively considered at this time. When the environmental value H≥the environmental threshold Y, it indicates that there is a problem with the environment of the building project at this time, and it is handled in time.

[0042] Reference Figure 2 The energy consumption collection unit includes a construction module and a use module. The construction module collects energy consumption data YS of material transportation during construction, energy consumption data JG during processing, and energy consumption data SG during construction. The construction module sends the collected data to the central unit and the model unit. The central unit receives the data collected by the construction module and calculates the construction loss value JS. The calculation formula of the construction loss value J is: NY is the total energy consumption of the entire construction of the building project. The central unit sends the calculated construction value JS to the model unit. The usage module collects the energy consumption data of the building project when it is used after completion. The energy consumption data includes lighting energy consumption data DQ, temperature control energy consumption data WK, water source energy consumption data SY and lifting energy consumption data SJ. The usage module sends the collected energy consumption data to the model unit and the central unit. The central unit receives the energy consumption data and calculates the usage value SY. The calculation formula of the usage value SY is: Wherein k1 and k2 are weights, and the central unit sends the calculated usage value SY to the model unit.

[0043] In the embodiments of the present application, energy consumption needs to be considered during the construction and use stages of the building project after completion. Therefore, the present application respectively sets up a construction module and a use module to collect energy consumption during the construction and use stages. After the construction module collects the energy consumption, the construction result of the building project can be predicted. When the use module collects the energy consumption, the use of the building can be understood, and when it is found that the energy consumption is high, it can be adjusted in time to make it more green and environmentally friendly. By collecting the energy consumption data YS of material transportation during the construction of the building project, the energy consumption data JG during processing, and the energy consumption data SG during construction, the entire construction stage can be understood. The lighting energy consumption data DQ, the temperature control energy consumption data WK, the water source energy consumption data SY, and the lifting energy consumption data SJ can fully understand the use of the building project itself.

[0044] Furthermore, the model unit receives the geometric model data in the geometric unit and constructs a digital model of the building entity of the construction project. The geometric model of the model unit is mapped to the digital twin space to obtain a digital object, and the model unit adopts a multi-source heterogeneous data collection method of a cloud-edge-end collaborative architecture to receive data from the energy consumption collection unit, the environment collection unit and the central unit, and uses interconnected control data to describe the digital object based on the semantic description model to obtain physical expression data, and uses the physical expression data to map the behavior of the twin model to construct a digital model of the construction project. The model unit includes the geometric model data, environmental data and energy consumption data of the construction project, and the environmental data and energy consumption data in the model unit are updated once a day. After the geometric model data in the construction project is fully collected, the data is updated once a year.

[0045] In the embodiment of the present application, after the final digital model is established, it includes the geometric model data of the construction project itself, the external environmental data and energy consumption data, and the established digital model of the construction project is more comprehensive. In addition, it should be noted that the model building process of the model unit belongs to a prior art means in this field, and the present application does not make detailed limitations on its building process. After the model is established, the environmental data and energy consumption data are improved every day, so that the construction project can be accurately detected. After the geometric data of the building itself is established, if there are no problems such as geological changes, its geometric shape will not change, so it only needs to be updated every year.

[0046] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The units and algorithm steps of each example described in the embodiments can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0047] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0048] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0049] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A digital modeling method for construction engineering based on digital twins, characterized by: The following steps are involved: Step S1, collecting geometric data information, energy consumption data and environmental data information of the construction project; Step S2: After the geometric data information of the building is collected, it is filtered using the best neighborhood filtering method to establish a geometric model of the building project; Step S3: Establishing a digital model of the construction project based on the geometric model of the construction project and combining energy consumption data and environmental data information; Step S4, calculating the environment value H for the light intensity data information GX, air quality data KQ and noise data ZS in the on-site environment of the construction project; Step S5: When the environmental value H is a negative number, zero, or the environmental value H is less than the environmental threshold value Y, go to the construction site for processing.

2. The digital modeling system for construction projects based on digital twins is characterized by: It includes a building data collection unit, an energy consumption collection unit, an environment collection unit, a geometry unit, a model unit, a central unit, a monitoring unit and a processing unit. The building data collection unit collects the geometry data information of the building, the energy consumption collection unit collects the energy consumption data information of the building, the environment collection unit collects the environment data information of the building, the geometry unit receives the geometry data information of the building and establishes a geometry model of the building, the central unit receives the data in the energy consumption collection unit and the environment collection unit and calculates the environment value H, the construction loss value J and the usage value SY, the model unit receives the data in the building data collection unit, the energy consumption collection unit, the environment collection unit and the central unit and establishes a digital model of the construction project, the monitoring unit receives the environment value H calculated by the central unit, compares it with the internal threshold value Y and then sends a danger instruction, and the processing unit receives the danger instruction sent by the monitoring unit and processes it at the construction project site.

3. The digital modeling system for construction engineering based on digital twin according to claim 2 is characterized in that: The building acquisition unit includes a document module and a field module. The document module receives the construction data of the building project. The field module performs field acquisition at the location of the building project. The building acquisition unit sends all the collected information to the geometry unit. The geometry unit receives the data collected by the building acquisition unit. The geometry unit uses the data in the document module as the internal geometry data of the building project and the data collected by the field module as the external geometry data of the building project to establish a geometry model of the building project.

4. The digital twin-based construction engineering digital modeling system according to claim 3 is characterized by: The field module uses a drone to perform three-dimensional laser scanning of the construction project to obtain laser point cloud data, and the field module sends the collected data to the filtering unit, and the filtering unit uses the optimal neighborhood filtering method to filter the laser point cloud data. The filtering formula of the optimal neighborhood filtering is: Where i and j are the coordinate values ​​of the processing point in the neighborhood, m is the neighborhood range, G is the Gaussian kernel function, and t i is the Euclidean distance between the laser point cloud data and the neighborhood points, h is the projection of the vector on the normal direction of the point to be processed, τ is the angle between the normal vector of the processing point and the normal vector of the neighborhood point, r is the weighting factor, and α is the filtered data.

5. The digital twin-based construction engineering digital modeling system according to claim 2 is characterized by: The environment acquisition unit collects light intensity data information GX, air quality data KQ and noise data ZS in the construction project, and sends the collected data to the model unit and the central unit. The central unit receives the data collected by the environment acquisition unit and calculates the environment value H. The calculation formula of the environment value H is: Where sgn is the rounding function, BZ is the standard air pollution value, n is the total number of light intensity tests in one day, GX o is the light intensity data during the o-th detection. The central unit sends the calculated environment value H to the processing and monitoring unit.

6. The digital twin-based construction engineering digital modeling system according to claim 5 is characterized by: The monitoring unit receives an environmental value H, and when the environmental value H received by the monitoring unit is a negative number or zero, the monitoring unit sends a danger instruction to the processing unit. When the environmental value H received by the monitoring unit is a positive number, the environmental unit compares the calculated environmental value H with its internal environmental threshold value Y. When the environmental value H≥environmental threshold value Y, the monitoring unit sends a danger instruction to the processing unit. When the environmental value H<environmental threshold value Y, the monitoring unit does not send an instruction. The processing unit receives the danger instruction and goes to the construction site to handle the problem.

7. The digital twin-based construction engineering digital modeling system according to claim 2 is characterized by: The energy consumption collection unit includes a construction module and a use module. The construction module collects energy consumption data YS of material transportation during construction, energy consumption data JG during processing, and energy consumption data SG during construction. The construction module sends the collected data to the central unit and the model unit. The central unit receives the data collected by the construction module and calculates the construction loss value JS. The calculation formula of the construction loss value J is: NY is the total energy consumption of the entire construction of the building project, and the central unit sends the calculated construction value JS to the model unit.

8. The digital twin-based construction engineering digital modeling system according to claim 7 is characterized by: The usage module collects the energy consumption data of the building project when it is used after completion. The energy consumption data includes lighting energy consumption data DQ, temperature control energy consumption data WK, water source energy consumption data SY and lifting energy consumption data SJ. The usage module sends the collected energy consumption data to the model unit and the central unit. The central unit receives the energy consumption data and calculates the usage value SY. The calculation formula of the usage value SY is: Wherein k1 and k2 are weights, and the central unit sends the calculated usage value SY to the model unit.

9. The digital twin-based construction engineering digital modeling system according to claim 2, characterized in that: The model unit receives the geometric model data in the geometric unit and constructs a digital model of the building entity of the construction project. The geometric model of the model unit is mapped to the digital twin space to obtain a digital object. The model unit adopts a multi-source heterogeneous data collection method of a cloud-edge-end collaborative architecture to receive data from an energy consumption collection unit, an environment collection unit and a central unit, and uses interconnected control data to describe the digital object based on a semantic description model to obtain physical expression data. The physical expression data is used to map the behavior of the twin model to construct a digital model of the construction project.

10. The digital twin-based construction engineering digital modeling system according to claim 9, characterized in that: The model unit includes geometric model data, environmental data and energy consumption data of the construction project, and the environmental data and energy consumption data in the model unit are updated once a day. After the geometric model data in the construction project is fully collected, the data is updated once a year.

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